Calculation of application speedup using gnuplot and awk - performance
Here's the problem:
Speedup formula: S(p) = T(1)/T(p) = (avg time for one process / avg time for p processes)
There are 5 logs, from which one wants to extract the information.
cg.B.1.log contains the execution times for one process, so we do the calculation of the average time to obtain T(1). The other log files contain the execution times for 2, 4, 8 and 16 processes. Averages of those times must also be calculated, since they are T(p).
Here's the code that calculates the averages:
tavg(n) = "awk 'BEGIN { FS = \"[ \\t]*=[ \\t]*\" } /Time in seconds/ { s += $2; c++ } /Total processes/ { if (! CP) CP = $2 } END { print s/c }' cg.B.".n.".log ".(n == 1 ? ">" : ">>")." tavg.dat;"
And the code that calculates the speedup:
system "awk 'NR==1{n=$0} {print n/$0}' tavg.dat > speedup.dat;"
How do I combine those two commands so that the output 'speedup.dat' is produced directly without using file tavg.dat?
Here are the contents of files, the structure of all log files is identical. I attached only the first two executions for abbreviation purposes.
cg.B.1.log
-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-
Start in 16:45:15--25/12/2014
NAS Parallel Benchmarks 3.3 -- CG Benchmark
Size: 75000
Iterations: 75
Number of active processes: 1
Number of nonzeroes per row: 13
Eigenvalue shift: .600E+02
iteration ||r|| zeta
1 0.30354859861452E-12 59.9994751578754
2 0.11186435488267E-14 21.7627846142536
3 0.11312258511928E-14 22.2876617043224
4 0.11222160585284E-14 22.5230738188346
5 0.11244234177219E-14 22.6275390653892
6 0.11330434819384E-14 22.6740259189533
7 0.11334259623050E-14 22.6949056826251
8 0.11374839313647E-14 22.7044023166872
9 0.11424877443039E-14 22.7087834345620
10 0.11329475190566E-14 22.7108351397177
11 0.11337364093482E-14 22.7118107121341
12 0.11379928308864E-14 22.7122816240971
13 0.11369453681794E-14 22.7125122663243
14 0.11430390337015E-14 22.7126268007594
15 0.11400318886400E-14 22.7126844161819
16 0.11352091331197E-14 22.7127137461755
17 0.11350923439124E-14 22.7127288402000
18 0.11475378864565E-14 22.7127366848296
19 0.11366777929028E-14 22.7127407981217
20 0.11274243312504E-14 22.7127429721364
21 0.11353930792856E-14 22.7127441294025
22 0.11299685800278E-14 22.7127447493900
23 0.11296405041170E-14 22.7127450834533
24 0.11381975597887E-14 22.7127452643881
25 0.11328127301663E-14 22.7127453628451
26 0.11367332658939E-14 22.7127454166517
27 0.11283372178605E-14 22.7127454461696
28 0.11384734158863E-14 22.7127454624211
29 0.11394011989719E-14 22.7127454713974
30 0.11354294067640E-14 22.7127454763703
31 0.11412988029103E-14 22.7127454791343
32 0.11358088407717E-14 22.7127454806740
33 0.11263266152515E-14 22.7127454815316
34 0.11275183080286E-14 22.7127454820131
35 0.11328306951409E-14 22.7127454822840
36 0.11357880314891E-14 22.7127454824349
37 0.11332687790488E-14 22.7127454825202
38 0.11324108818137E-14 22.7127454825684
39 0.11365065523777E-14 22.7127454825967
40 0.11361185361321E-14 22.7127454826116
41 0.11276519820716E-14 22.7127454826202
42 0.11317183424878E-14 22.7127454826253
43 0.11236007481770E-14 22.7127454826276
44 0.11304065564684E-14 22.7127454826296
45 0.11287791356431E-14 22.7127454826310
46 0.11297028000133E-14 22.7127454826310
47 0.11281236869666E-14 22.7127454826314
48 0.11277254075548E-14 22.7127454826317
49 0.11320327289847E-14 22.7127454826309
50 0.11287655285563E-14 22.7127454826321
51 0.11230503422400E-14 22.7127454826324
52 0.11292089094944E-14 22.7127454826313
53 0.11366728396408E-14 22.7127454826315
54 0.11222618466968E-14 22.7127454826310
55 0.11278193276516E-14 22.7127454826315
56 0.11244624896030E-14 22.7127454826316
57 0.11264508872685E-14 22.7127454826318
58 0.11255583774760E-14 22.7127454826314
59 0.11227129146723E-14 22.7127454826314
60 0.11189480800173E-14 22.7127454826318
61 0.11163241472678E-14 22.7127454826315
62 0.11278839424218E-14 22.7127454826318
63 0.11226804133008E-14 22.7127454826313
64 0.11222456601361E-14 22.7127454826317
65 0.11270879524310E-14 22.7127454826308
66 0.11303771390006E-14 22.7127454826319
67 0.11240101357287E-14 22.7127454826319
68 0.11240278884391E-14 22.7127454826321
69 0.11207748067718E-14 22.7127454826317
70 0.11178755187571E-14 22.7127454826327
71 0.11195935245649E-14 22.7127454826313
72 0.11260715126337E-14 22.7127454826322
73 0.11281677964997E-14 22.7127454826316
74 0.11162340034815E-14 22.7127454826318
75 0.11208709203921E-14 22.7127454826310
Benchmark completed
VERIFICATION SUCCESSFUL
Zeta is 0.2271274548263E+02
Error is 0.3128387698896E-15
CG Benchmark Completed.
Class = B
Size = 75000
Iterations = 75
Time in seconds = 88.72
Total processes = 1
Compiled procs = 1
Mop/s total = 616.64
Mop/s/process = 616.64
Operation type = floating point
Verification = SUCCESSFUL
Version = 3.3
Compile date = 25 Dec 2014
Compile options:
MPIF77 = mpif77
FLINK = $(MPIF77)
FMPI_LIB = -L/usr/lib/openmpi/lib -lmpi -lopen-rte -lo...
FMPI_INC = -I/usr/lib/openmpi/include -I/usr/lib/openm...
FFLAGS = -O
FLINKFLAGS = -O
RAND = randi8
Please send the results of this run to:
NPB Development Team
Internet: npb#nas.nasa.gov
If email is not available, send this to:
MS T27A-1
NASA Ames Research Center
Moffett Field, CA 94035-1000
Fax: 650-604-3957
Finish in 16:46:46--25/12/2014
-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-
-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-
Start in 17:03:13--25/12/2014
NAS Parallel Benchmarks 3.3 -- CG Benchmark
Size: 75000
Iterations: 75
Number of active processes: 1
Number of nonzeroes per row: 13
Eigenvalue shift: .600E+02
iteration ||r|| zeta
1 0.30354859861452E-12 59.9994751578754
2 0.11186435488267E-14 21.7627846142536
3 0.11312258511928E-14 22.2876617043224
4 0.11222160585284E-14 22.5230738188346
5 0.11244234177219E-14 22.6275390653892
6 0.11330434819384E-14 22.6740259189533
7 0.11334259623050E-14 22.6949056826251
8 0.11374839313647E-14 22.7044023166872
9 0.11424877443039E-14 22.7087834345620
10 0.11329475190566E-14 22.7108351397177
11 0.11337364093482E-14 22.7118107121341
12 0.11379928308864E-14 22.7122816240971
13 0.11369453681794E-14 22.7125122663243
14 0.11430390337015E-14 22.7126268007594
15 0.11400318886400E-14 22.7126844161819
16 0.11352091331197E-14 22.7127137461755
17 0.11350923439124E-14 22.7127288402000
18 0.11475378864565E-14 22.7127366848296
19 0.11366777929028E-14 22.7127407981217
20 0.11274243312504E-14 22.7127429721364
21 0.11353930792856E-14 22.7127441294025
22 0.11299685800278E-14 22.7127447493900
23 0.11296405041170E-14 22.7127450834533
24 0.11381975597887E-14 22.7127452643881
25 0.11328127301663E-14 22.7127453628451
26 0.11367332658939E-14 22.7127454166517
27 0.11283372178605E-14 22.7127454461696
28 0.11384734158863E-14 22.7127454624211
29 0.11394011989719E-14 22.7127454713974
30 0.11354294067640E-14 22.7127454763703
31 0.11412988029103E-14 22.7127454791343
32 0.11358088407717E-14 22.7127454806740
33 0.11263266152515E-14 22.7127454815316
34 0.11275183080286E-14 22.7127454820131
35 0.11328306951409E-14 22.7127454822840
36 0.11357880314891E-14 22.7127454824349
37 0.11332687790488E-14 22.7127454825202
38 0.11324108818137E-14 22.7127454825684
39 0.11365065523777E-14 22.7127454825967
40 0.11361185361321E-14 22.7127454826116
41 0.11276519820716E-14 22.7127454826202
42 0.11317183424878E-14 22.7127454826253
43 0.11236007481770E-14 22.7127454826276
44 0.11304065564684E-14 22.7127454826296
45 0.11287791356431E-14 22.7127454826310
46 0.11297028000133E-14 22.7127454826310
47 0.11281236869666E-14 22.7127454826314
48 0.11277254075548E-14 22.7127454826317
49 0.11320327289847E-14 22.7127454826309
50 0.11287655285563E-14 22.7127454826321
51 0.11230503422400E-14 22.7127454826324
52 0.11292089094944E-14 22.7127454826313
53 0.11366728396408E-14 22.7127454826315
54 0.11222618466968E-14 22.7127454826310
55 0.11278193276516E-14 22.7127454826315
56 0.11244624896030E-14 22.7127454826316
57 0.11264508872685E-14 22.7127454826318
58 0.11255583774760E-14 22.7127454826314
59 0.11227129146723E-14 22.7127454826314
60 0.11189480800173E-14 22.7127454826318
61 0.11163241472678E-14 22.7127454826315
62 0.11278839424218E-14 22.7127454826318
63 0.11226804133008E-14 22.7127454826313
64 0.11222456601361E-14 22.7127454826317
65 0.11270879524310E-14 22.7127454826308
66 0.11303771390006E-14 22.7127454826319
67 0.11240101357287E-14 22.7127454826319
68 0.11240278884391E-14 22.7127454826321
69 0.11207748067718E-14 22.7127454826317
70 0.11178755187571E-14 22.7127454826327
71 0.11195935245649E-14 22.7127454826313
72 0.11260715126337E-14 22.7127454826322
73 0.11281677964997E-14 22.7127454826316
74 0.11162340034815E-14 22.7127454826318
75 0.11208709203921E-14 22.7127454826310
Benchmark completed
VERIFICATION SUCCESSFUL
Zeta is 0.2271274548263E+02
Error is 0.3128387698896E-15
CG Benchmark Completed.
Class = B
Size = 75000
Iterations = 75
Time in seconds = 87.47
Total processes = 1
Compiled procs = 1
Mop/s total = 625.43
Mop/s/process = 625.43
Operation type = floating point
Verification = SUCCESSFUL
Version = 3.3
Compile date = 25 Dec 2014
Compile options:
MPIF77 = mpif77
FLINK = $(MPIF77)
FMPI_LIB = -L/usr/lib/openmpi/lib -lmpi -lopen-rte -lo...
FMPI_INC = -I/usr/lib/openmpi/include -I/usr/lib/openm...
FFLAGS = -O
FLINKFLAGS = -O
RAND = randi8
Please send the results of this run to:
NPB Development Team
Internet: npb#nas.nasa.gov
If email is not available, send this to:
MS T27A-1
NASA Ames Research Center
Moffett Field, CA 94035-1000
Fax: 650-604-3957
Finish in 17:04:43--25/12/2014
-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-/-
tavg.dat
88.3055
45.1482
37.7202
37.4035
53.777
speedup.dat
1
1.9559
2.34107
2.36089
1.64207
You can do it all in one awk script that processes all the log files:
#!/usr/bin/awk -f
BEGIN { FS="=" }
lfname != FILENAME { lfname = FILENAME; split(FILENAME, a, "."); fnum=a[3] }
/Time in seconds/ { tsecs[fnum] += $2; tcnt[fnum]++ }
/Total processes/ { cp[fnum] = int($2) }
END {
tavg1 = tsecs[1]/tcnt[1]
for( k in tsecs ) {
tavgk = tsecs[k]/tcnt[k]
if( tavgk > 0 ) {
print k OFS cp[k] OFS tavgk OFS tavg1/tavgk
}
}
}
If you put that in a file called awk.script and make it executable with chmod +x awk.script you can run it in bash like:
./awk.script cg.B.*.log
If you're using GNU awk, the output will be ordered( extra steps may be needed to ensure the output is ordered using other awk flavors ).
Where I generated a 2nd and 3rd file, the output is like:
1 1 88.095 1
2 2 68.095 1.29371
3 4 49.595 1.77629
where the unnamed columns are like: file number, # processes, avg per file, speedup. You could get just the speedups by changing the print in the END block to be like print tavg1/tavgk.
Here's a breakdown of the script:
Use a simpler field separator in BEGIN
lfname != FILENAME - parse out file number from the filename as fnum but only when the FILENAME changes.
/Time in seconds/ - store the values in tsecs and tcnt arrays with an fnum key. Use int() function to strip whitespace from processes value.
/Total processes/ - store the process in the cp array with an fnum key
END - Calculate the average for fnum 1 as tavg1, loop through the keys in tsecs and calculate the average by fnum key as tavgk. When tavgk > 0 print the output as described above.
You have figured out all the difficult parts already. You don't need the tavg.dat file at all. Create your tavg(n) function directly as a system call:
tavg(n) = system("awk 'BEGIN { FS = \"[ \\t]*=[ \\t]*\" } \
/Time in seconds/ { s += $2; c++ } /Total processes/ { \
if (! CP) CP = $2 } END { print s/c }' cg.B.".n.".log")
And a speedup(n) function as
speedup(n)=tavg(n)/tavg(1)
Now you can set print to write to a file:
set print "speedup.dat"
do for [i=1:5] {
print speedup(i)
}
unset print
Related
Use null.Time values in a golang template
I'm using gopkg.in/guregu/null.v4 to get some data from a Postgres DB and the results are coming back fine, and I can put them into json format and the world is happy... however, I'm trying to email the results using a template and have hit a problem.
The structure is (partially)
type DataQuery struct {
Date null.Time `json:"DateTime"`
....
The template is
{{define "plainBody"}}
Hi,
Here are the results for the check run for today.
The number of rows returned is {{.Rows}}
The data is
{{ range .Data}}
{{.Date}}
{{end}}
{{end}}
And the results of running that template are
Hi,
Here are the results for the check run for today.
The number of rows returned is 57
The data is
{{2021-09-13 00:00:00 +0000 +0000 true}}
{{2021-08-16 00:00:00 +0000 +0000 true}}
{{2021-09-19 00:00:00 +0000 +0000 true}}
{{2021-09-18 00:00:00 +0000 +0000 true}}
I tried using {{.Date.EncodeText}} and ended up with
[50 48 50 49 45 48 57 45 49 51 84 48 48 58 48 48 58 48 48 90]
[50 48 50 49 45 48 56 45 49 54 84 48 48 58 48 48 58 48 48 90]
[50 48 50 49 45 48 57 45 49 57 84 48 48 58 48 48 58 48 48 90]
For the datetime fields (which might be a []byte of the strings but I'm not sure.
If I use {{Date.Value}} I get
2021-09-13 00:00:00 +0000 +0000
The other field types (string, int, float) all work fine with
{{Variable.ValueOrZero}}
I think I'm close.. but can't quite crack it for the date time fields
First, you are using html/template which provides context-sensitive escaping, that's why you're seeing those + sequences. If you want text output, use text/template instead. For details, see Template unnecessarily escaping `<` to `<` but not `>`
Next, null.Time is not just a simple time.Time value, it wraps other fields too (whether the time is valid). When simply outputting it, that valid field will also be rendered (the true texts in your output).
You may render only its Time field: {{.Date.Time}}.
With these changes output will be for example:
Hi,
Here are the results for the check run for today.
The number of rows returned is 2
The data is
2021-09-20 12:10:00 +0000 UTC
2021-10-11 13:50:00 +0000 UTC
Try it on the Go Playground.
What solution should I use to generate a list of all possible alphabetic combinaisons?
I want to generate a list of all the possible combinations of the following characters with a minimum length of 3 characters and a maximum length of 12 characters. abcdefghijklmnopqrstuvwxyz1234567890_ I though of using PHP to do so this but this operation requires too much memory. What would be the best tool to achieve this?
It would be better if you set a limit on each run; For example all possibilities with 5 characters in one run, and all with 7 in another. And write a code to send the output after each run to a text file so you have all the possibilities and
That would take less memory.
example with numbers in python:
# 1 2 3 4 5 6 7 8 9 0
listx=[1,2,3,4,5,6,7,8,9,0]
#one letter
for i in listx:
print(i)
#two letters
for i in listx:
for j in listx:
print(f"{i}{j}")
and it goes on and on...
output=>
1
2
3
4
5
6
7
8
9
0
11
12
13
14
15
16
17
18
19
10
21
22
23
24
25
26
27
28
29
20
31
32
33
34
35
36
37
38
39
30
41
42
43
44
45
46
47
48
49
40
51
52
53
54
55
56
57
58
59
50
61
62
63
64
65
66
67
68
69
60
71
72
73
74
75
76
77
78
79
70
81
82
83
84
85
86
87
88
89
80
91
92
93
94
95
96
97
98
99
90
01
02
03
04
05
06
07
08
09
00
In python, there is a function itertools.product which returns the combinations you want for a fixed number of characters. You can call it repeatedly to get each number of characters between 3 and 12.
def get_combinations(charset, begin, end):
result = []
for i in range(begin, end+1):
result.extend(''.join(p) for p in itertools.product(charset, repeat=i))
return result
print(get_combinations('abcdefghijklmnopqrstuvwxyz0123456789_', 3, 5))
# ['aaa', 'aab', 'aac', 'aad', 'aae', 'aaf', 'aag', 'aah', 'aai', 'aaj', 'aak', 'aal', 'aam', 'aan', 'aao', 'aap', 'aaq', 'aar', 'aas', 'aat', 'aau', 'aav', 'aaw', 'aax', 'aay', 'aaz', 'aa0', 'aa1', 'aa2', 'aa3', 'aa4', 'aa5', 'aa6', 'aa7', 'aa8', 'aa9', 'aa_', 'aba', 'abb', 'abc', 'abd', 'abe', 'abf', 'abg', 'abh', 'abi', 'abj', 'abk', 'abl', 'abm', 'abn', 'abo', 'abp', 'abq', 'abr', 'abs', 'abt', 'abu', 'abv', 'abw', 'abx', 'aby', 'abz', 'ab0', 'ab1', 'ab2', 'ab3', 'ab4', 'ab5', 'ab6', 'ab7', 'ab8', 'ab9', 'ab_', 'aca', 'acb', 'acc', 'acd', 'ace', 'acf', 'acg', 'ach', 'aci', 'acj', 'ack', 'acl', 'acm', 'acn', 'aco', 'acp', 'acq', 'acr', 'acs', 'act', 'acu', 'acv', 'acw', 'acx', 'acy', 'acz', 'ac0', 'ac1', 'ac2', 'ac3', 'ac4', 'ac5', 'ac6', 'ac7', 'ac8', 'ac9', 'ac_', 'ada', 'adb', 'adc', 'add', 'ade', 'adf', 'adg', 'adh', 'adi', 'adj', 'adk', 'adl', 'adm', 'adn', 'ado', 'adp', 'adq', 'adr', 'ads', 'adt', 'adu', 'adv', 'adw', 'adx', 'ady', 'adz', 'ad0', 'ad1', 'ad2', 'ad3', 'ad4', 'ad5', 'ad6', 'ad7', 'ad8', 'ad9', 'ad_', 'aea', 'aeb', 'aec', 'aed', 'aee', 'aef', 'aeg', ..., '__o0', '__o1', '__o2', '__o3', '__o4', '__o5', '__o6', '__o7', '__o8', '__o9', '__o_', '__pa', '__pb', '__pc', '__pd', '__pe', '__pf', '__pg', '__ph', '__pi', '__pj', '__pk', '__pl', '__pm', '__pn', '__po', '__pp', '__pq', '__pr', '__ps', '__pt', '__pu', '__pv', '__pw', '__px', '__py', '__pz', '__p0', '__p1', '__p2', '__p3', '__p4', '__p5', '__p6', '__p7', '__p8', '__p9', '__p_', '__qa', '__qb', '__qc', '__qd', '__qe', '__qf', '__qg', '__qh', '__qi', '__qj', '__qk', '__ql', '__qm', '__qn', '__qo', '__qp', '__qq', '__qr', '__qs', '__qt', '__qu', '__qv', '__qw', '__qx', '__qy', '__qz', '__q0', '__q1', '__q2', '__q3', '__q4', '__q5', '__q6', '__q7', '__q8', '__q9', '__q_', '__ra', '__rb', '__rc', '__rd', '__re', '__rf', '__rg', '__rh', '__ri', '__rj', '__rk', '__rl', '__rm', '__rn', '__ro', '__rp', '__rq', '__rr', '__rs', '__rt', '__ru', '__rv', '__rw', '__rx', '__ry', '__rz', '__r0', '__r1', '__r2', '__r3', '__r4', '__r5', '__r6', '__r7', '__r8', '__r9', '__r_', '__sa', '__sb', '__sc', '__sd', '__se', '__sf', '__sg', '__sh', '__si', '__sj', '__sk', '__sl', '__sm', '__sn', '__so', '__sp', '__sq', '__sr', '__ss', '__st', '__su', '__sv', '__sw', '__sx', '__sy', '__sz', '__s0', '__s1', '__s2', '__s3', '__s4', '__s5', '__s6', '__s7', '__s8', '__s9', '__s_', '__ta', '__tb', '__tc', '__td', '__te', '__tf', '__tg', '__th', '__ti', '__tj', '__tk', '__tl', '__tm', '__tn', '__to', '__tp', '__tq', '__tr', '__ts', '__tt', '__tu', '__tv', '__tw', '__tx', '__ty', '__tz', '__t0', '__t1', '__t2', '__t3', '__t4', '__t5', '__t6', '__t7', '__t8', '__t9', '__t_', '__ua', '__ub', '__uc', '__ud', '__ue', '__uf', '__ug', '__uh', '__ui', '__uj', '__uk', '__ul', '__um', '__un', '__uo', '__up', '__uq', '__ur', '__us', '__ut', '__uu', '__uv', '__uw', '__ux', '__uy', '__uz', '__u0', '__u1', '__u2', '__u3', '__u4', '__u5', '__u6', '__u7', '__u8', '__u9', '__u_', '__va', '__vb', '__vc', '__vd', '__ve', '__vf', '__vg', '__vh', '__vi', '__vj', '__vk', '__vl', '__vm', '__vn', '__vo', '__vp', '__vq', '__vr', '__vs', '__vt', '__vu', '__vv', '__vw', '__vx', '__vy', '__vz', '__v0', '__v1', '__v2', '__v3', '__v4', '__v5', '__v6', '__v7', '__v8', '__v9', '__v_', '__wa', '__wb', '__wc', '__wd', '__we', '__wf', '__wg', '__wh', '__wi', '__wj', '__wk', '__wl', '__wm', '__wn', '__wo', '__wp', '__wq', '__wr', '__ws', '__wt', '__wu', '__wv', '__ww', '__wx', '__wy', '__wz', '__w0', '__w1', '__w2', '__w3', '__w4', '__w5', '__w6', '__w7', '__w8', '__w9', '__w_', '__xa', '__xb', '__xc', '__xd', '__xe', '__xf', '__xg', '__xh', '__xi', '__xj', '__xk', '__xl', '__xm', '__xn', '__xo', '__xp', '__xq', '__xr', '__xs', '__xt', '__xu', '__xv', '__xw', '__xx', '__xy', '__xz', '__x0', '__x1', '__x2', '__x3', '__x4', '__x5', '__x6', '__x7', '__x8', '__x9', '__x_', '__ya', '__yb', '__yc', '__yd', '__ye', '__yf', '__yg', '__yh', '__yi', '__yj', '__yk', '__yl', '__ym', '__yn', '__yo', '__yp', '__yq', '__yr', '__ys', '__yt', '__yu', '__yv', '__yw', '__yx', '__yy', '__yz', '__y0', '__y1', '__y2', '__y3', '__y4', '__y5', '__y6', '__y7', '__y8', '__y9', '__y_', '__za', '__zb', '__zc', '__zd', '__ze', '__zf', '__zg', '__zh', '__zi', '__zj', '__zk', '__zl', '__zm', '__zn', '__zo', '__zp', '__zq', '__zr', '__zs', '__zt', '__zu', '__zv', '__zw', '__zx', '__zy', '__zz', '__z0', '__z1', '__z2', '__z3', '__z4', '__z5', '__z6', '__z7', '__z8', '__z9', '__z_', '__0a', '__0b', '__0c', '__0d', '__0e', '__0f', '__0g', '__0h', '__0i', '__0j', '__0k', '__0l', '__0m', '__0n', '__0o', '__0p', '__0q', '__0r', '__0s', '__0t', '__0u', '__0v', '__0w', '__0x', '__0y', '__0z', '__00', '__01', '__02', '__03', '__04', '__05', '__06', '__07', '__08', '__09', '__0_', '__1a', '__1b', '__1c', '__1d', '__1e', '__1f', '__1g', '__1h', '__1i', '__1j', '__1k', '__1l', '__1m', '__1n', '__1o', '__1p', '__1q', '__1r', '__1s', '__1t', '__1u', '__1v', '__1w', '__1x', '__1y', '__1z', '__10', '__11', '__12', '__13', '__14', '__15', '__16', '__17', '__18', '__19', '__1_', '__2a', '__2b', '__2c', '__2d', '__2e', '__2f', '__2g', '__2h', '__2i', '__2j', '__2k', '__2l', '__2m', '__2n', '__2o', '__2p', '__2q', '__2r', '__2s', '__2t', '__2u', '__2v', '__2w', '__2x', '__2y', '__2z', '__20', '__21', '__22', '__23', '__24', '__25', '__26', '__27', '__28', '__29', '__2_', '__3a', '__3b', '__3c', '__3d', '__3e', '__3f', '__3g', '__3h', '__3i', '__3j', '__3k', '__3l', '__3m', '__3n', '__3o', '__3p', '__3q', '__3r', '__3s', '__3t', '__3u', '__3v', '__3w', '__3x', '__3y', '__3z', '__30', '__31', '__32', '__33', '__34', '__35', '__36', '__37', '__38', '__39', '__3_', '__4a', '__4b', '__4c', '__4d', '__4e', '__4f', '__4g', '__4h', '__4i', '__4j', '__4k', '__4l', '__4m', '__4n', '__4o', '__4p', '__4q', '__4r', '__4s', '__4t', '__4u', '__4v', '__4w', '__4x', '__4y', '__4z', '__40', '__41', '__42', '__43', '__44', '__45', '__46', '__47', '__48', '__49', '__4_', '__5a', '__5b', '__5c', '__5d', '__5e', '__5f', '__5g', '__5h', '__5i', '__5j', '__5k', '__5l', '__5m', '__5n', '__5o', '__5p', '__5q', '__5r', '__5s', '__5t', '__5u', '__5v', '__5w', '__5x', '__5y', '__5z', '__50', '__51', '__52', '__53', '__54', '__55', '__56', '__57', '__58', '__59', '__5_', '__6a', '__6b', '__6c', '__6d', '__6e', '__6f', '__6g', '__6h', '__6i', '__6j', '__6k', '__6l', '__6m', '__6n', '__6o', '__6p', '__6q', '__6r', '__6s', '__6t', '__6u', '__6v', '__6w', '__6x', '__6y', '__6z', '__60', '__61', '__62', '__63', '__64', '__65', '__66', '__67', '__68', '__69', '__6_', '__7a', '__7b', '__7c', '__7d', '__7e', '__7f', '__7g', '__7h', '__7i', '__7j', '__7k', '__7l', '__7m', '__7n', '__7o', '__7p', '__7q', '__7r', '__7s', '__7t', '__7u', '__7v', '__7w', '__7x', '__7y', '__7z', '__70', '__71', '__72', '__73', '__74', '__75', '__76', '__77', '__78', '__79', '__7_', '__8a', '__8b', '__8c', '__8d', '__8e', '__8f', '__8g', '__8h', '__8i', '__8j', '__8k', '__8l', '__8m', '__8n', '__8o', '__8p', '__8q', '__8r', '__8s', '__8t', '__8u', '__8v', '__8w', '__8x', '__8y', '__8z', '__80', '__81', '__82', '__83', '__84', '__85', '__86', '__87', '__88', '__89', '__8_', '__9a', '__9b', '__9c', '__9d', '__9e', '__9f', '__9g', '__9h', '__9i', '__9j', '__9k', '__9l', '__9m', '__9n', '__9o', '__9p', '__9q', '__9r', '__9s', '__9t', '__9u', '__9v', '__9w', '__9x', '__9y', '__9z', '__90', '__91', '__92', '__93', '__94', '__95', '__96', '__97', '__98', '__99', '__9_', '___a', '___b', '___c', '___d', '___e', '___f', '___g', '___h', '___i', '___j', '___k', '___l', '___m', '___n', '___o', '___p', '___q', '___r', '___s', '___t', '___u', '___v', '___w', '___x', '___y', '___z', '___0', '___1', '___2', '___3', '___4', '___5', '___6', '___7', '___8', '___9', '____']
Note how I called the function with parameters 3 and 5 instead of 3 and 12. With parameters 3 and 5, the number of combinations is already 71268771. Over 71 millions. With parameters 3 and 12, the number of combinations would be 6765811783780034854. That's 6.8 * 10**18. This is nearly one thousand million times the number of humans on Earth.
removing bad data from a data file using pig
I have a data file like this
1943 49 1
1975 91 L
1903 56 3
1909 52 3
1953 96 3
1912 82
1976 66 3
1913 35
1990 45 1
1927 92 A
1912 2
1924 22
1971 2
1959 94 E
now using pig script I want to remove the bad data like removing those rows which have characters and empty fields
I tried this way
records = load '/user/a106524609/test.txt' using PigStorage(' ') as
(year:chararray, temperature:int, quality:int);
rec1 = filter records by temperature != 'null' and (quality != 'null ')
Load it as lines
A = load 'data.txt' using PigStorage('\n') as (line:chararray);
Split on all whitespaces
B = FOREACH A GENERATE FLATTEN(STRSPLIT(line, '\\s+')) as (year:int,temp:int,quality:chararray);
Filter by valid strings
C = FILTER B BY quality IN ('0','1','2','3','4','5','6','7','8','9');
(Optionally) Cast to an int
D = FOREACH C GENERATE year,temp,(int)quality;
In Spark, I would start with a regex match of the expected format.
val cleanRows = sc.textFile("data.txt")
.filter(line => line.matches("(?:\\d+\\s+){2}\\d+"))
ncurses: init_color() has no effect
Trying to define color pairs, I was getting strange results. All 256 colors are already defined, and attempt to change any color with init_color() has no affect.
I'm using Putty with 256-colors enabled and TERM=xterm-256color (also putty-256color), ncurses 6.0 compiled with --enable-widec and --enable-ext-colors. This shows all colors are defined and the init_color() doesn't change anything even though it succeeds:
init_scr();
start_color();
if (has_colors() && COLORS == 256 && can_change_color()) {
NCURSES_COLOR_T f;
for (f = 1; f < 256; f++) {
if (init_pair(f, f, COLOR_BLACK) == ERR) break;
attron(COLOR_PAIR(f));
printw("(%d)", f);
attroff(COLOR_PAIR(f));
refresh();
}
getch();
clear();
for (f = 1; f < 256; f++) {
if (init_color(f, 0, 0, f*3) == ERR) break;
if (init_pair(f, f, COLOR_BLACK) == ERR) break;
attron(COLOR_PAIR(f));
printw("(%d)", f);
attroff(COLOR_PAIR(f));
refresh();
}
getch();
clear();
}
I've read that the default colors can't be changed, but only refers to COLOR_BLACK, etc (0-7).
Where are these 256 default colors defined and why can't I change them? If they can't be changed, I could make use of the colors defined, but only if I can rely on them being the same on any 256-color capable terminal.
short: PuTTY doesn't do that, ncurses can't tell if PuTTY can... long: In ncurses, the init_color function checks its parameters (in the example given, those appear okay if your $TERM is "xterm-256color"), as well as checking if the terminal description has the initc (initialize_color) capability. If that is missing or cancelled, ncurses returns an error. However, that's only the terminal description. ncurses cannot tell if you have chosen an incorrect or inappropriate terminal description. In a quick check, PuTTY doesn't respond to the control sequence which is used in initc. This is a known limitation, as indicated in the (more appropriate) terminal description putty-256color provided by ncurses: putty-256color|PuTTY 0.58 with xterm 256-colors, use=xterm+256setaf, use=putty, That xterm+256setaf is used for terminals whose palette is hard-coded. PuTTY is not the only terminal which both sets TERM=xterm` and lacks the ability to change its palette. If you happen to be using an old version of the terminal database, you may be misled, since that error was fixed in 2014: # 2014-03-30 # * cancel ccc in putty-256color and konsole-256color for consistency # with the cancelled initc capability (patch by Sven Zuhlsdorf). # * add xterm+256setaf building block for various terminals which only # get the 256-color feature half-implemented -TD # * updated "st" entry (leaving the 0.1.1 version as "simpleterm") to # 0.4.1 -TD # Like the other terminals whose developers set TERM=xterm (or TERM=xterm-256color), there are differences between those and xterm. Further reading: Why not just use TERM set to "xterm"?
Couple of things I discovered. First, yes I was apparently referencing an old putty-256color terminfo that had "ccc", allowing can_change_color() to succeed, but then init_color() would fail. But the same Putty window using "xterm-256color" would init_color() OK and color_content() even shows the new values, but nothing changed on the screen. What was really confusing is sometimes the colors I set would appear and other times seemingly random colors appeared instead. Here's what I found: putty-256color xterm-256color gnome-256color xterm-256color (putty) (putty) (gnome-terminal) (MobaXterm) -------------- -------------- ---------------- -------------- change_color OK/ERR OK OK OK init_color ERR ERR OK OK color_content ERR OK/NOCH OK OK color changed? NO NO YES YES So there's basically no way to determine whether colors can be changed or not. But I did find that every terminal had already defined the standard 256 xterm colors, whether they could be changed or not. So, now, I just define the colors I want to use using the same color numbers as in the xterm palette. That way, the colors I expect will appear whether I needed to define them or not. So, to use "PaleGreen3", I just use: init_color(77, 372, 843, 372) If it works, it works, and if not, its probably already defined. For reference, I converting all the Xwindow/xterm colors from GUI hex notation to the ncurses (0-1000) values: # Name Tk Ncurses --- ---------------- ------- ------------- 16 Grey0 #000000 0,0,0 17 NavyBlue #00005f 0,0,372 18 DarkBlue #000087 0,0,529 19 Blue3 #0000af 0,0,686 20 Blue3 #0000d7 0,0,843 21 Blue1 #0000ff 0,0,1000 22 DarkGreen #005f00 0,372,0 23 DeepSkyBlue4 #005f5f 0,372,372 24 DeepSkyBlue4 #005f87 0,372,529 25 DeepSkyBlue4 #005faf 0,372,686 26 DodgerBlue3 #005fd7 0,372,843 27 DodgerBlue2 #005fff 0,372,1000 28 Green4 #008700 0,529,0 29 SpringGreen4 #00875f 0,529,372 30 Turquoise4 #008787 0,529,529 31 DeepSkyBlue3 #0087af 0,529,686 32 DeepSkyBlue3 #0087d7 0,529,843 33 DodgerBlue1 #0087ff 0,529,1000 34 Green3 #00af00 0,686,0 35 SpringGreen3 #00af5f 0,686,372 36 DarkCyan #00af87 0,686,529 37 LightSeaGreen #00afaf 0,686,686 38 DeepSkyBlue2 #00afd7 0,686,843 39 DeepSkyBlue1 #00afff 0,686,1000 40 Green3 #00d700 0,843,0 41 SpringGreen3 #00d75f 0,843,372 42 SpringGreen2 #00d787 0,843,529 43 Cyan3 #00d7af 0,843,686 44 DarkTurquoise #00d7d7 0,843,843 45 Turquoise2 #00d7ff 0,843,1000 46 Green1 #00ff00 0,1000,0 47 SpringGreen2 #00ff5f 0,1000,372 48 SpringGreen1 #00ff87 0,1000,529 49 MediumSpringGreen #00ffaf 0,1000,686 50 Cyan2 #00ffd7 0,1000,843 51 Cyan1 #00ffff 0,1000,1000 52 DarkRed #5f0000 372,0,0 53 DeepPink4 #5f005f 372,0,372 54 Purple4 #5f0087 372,0,529 55 Purple4 #5f00af 372,0,686 56 Purple3 #5f00d7 372,0,843 57 BlueViolet #5f00ff 372,0,1000 58 Orange4 #5f5f00 372,372,0 59 Grey37 #5f5f5f 372,372,372 60 MediumPurple4 #5f5f87 372,372,529 61 SlateBlue3 #5f5faf 372,372,686 62 SlateBlue3 #5f5fd7 372,372,843 63 RoyalBlue1 #5f5fff 372,372,1000 64 Chartreuse4 #5f8700 372,529,0 65 DarkSeaGreen4 #5f875f 372,529,372 66 PaleTurquoise4 #5f8787 372,529,529 67 SteelBlue #5f87af 372,529,686 68 SteelBlue3 #5f87d7 372,529,843 69 CornflowerBlue #5f87ff 372,529,1000 70 Chartreuse3 #5faf00 372,686,0 71 DarkSeaGreen4 #5faf5f 372,686,372 72 CadetBlue #5faf87 372,686,529 73 CadetBlue #5fafaf 372,686,686 74 SkyBlue3 #5fafd7 372,686,843 75 SteelBlue1 #5fafff 372,686,1000 76 Chartreuse3 #5fd700 372,843,0 77 PaleGreen3 #5fd75f 372,843,372 78 SeaGreen3 #5fd787 372,843,529 79 Aquamarine3 #5fd7af 372,843,686 80 MediumTurquoise #5fd7d7 372,843,843 81 SteelBlue1 #5fd7ff 372,843,1000 82 Chartreuse2 #5fff00 372,1000,0 83 SeaGreen2 #5fff5f 372,1000,372 84 SeaGreen1 #5fff87 372,1000,529 85 SeaGreen1 #5fffaf 372,1000,686 86 Aquamarine1 #5fffd7 372,1000,843 87 DarkSlateGray2 #5fffff 372,1000,1000 88 DarkRed #870000 529,0,0 89 DeepPink4 #87005f 529,0,372 90 DarkMagenta #870087 529,0,529 91 DarkMagenta #8700af 529,0,686 92 DarkViolet #8700d7 529,0,843 93 Purple #8700ff 529,0,1000 94 Orange4 #875f00 529,372,0 95 LightPink4 #875f5f 529,372,372 96 Plum4 #875f87 529,372,529 97 MediumPurple3 #875faf 529,372,686 98 MediumPurple3 #875fd7 529,372,843 99 SlateBlue1 #875fff 529,372,1000 100 Yellow4 #878700 529,529,0 101 Wheat4 #87875f 529,529,372 102 Grey53 #878787 529,529,529 103 LightSlateGrey #8787af 529,529,686 104 MediumPurple #8787d7 529,529,843 105 LightSlateBlue #8787ff 529,529,1000 106 Yellow4 #87af00 529,686,0 107 DarkOliveGreen3 #87af5f 529,686,372 108 DarkSeaGreen #87af87 529,686,529 109 LightSkyBlue3 #87afaf 529,686,686 110 LightSkyBlue3 #87afd7 529,686,843 111 SkyBlue2 #87afff 529,686,1000 112 Chartreuse2 #87d700 529,843,0 113 DarkOliveGreen3 #87d75f 529,843,372 114 PaleGreen3 #87d787 529,843,529 115 DarkSeaGreen3 #87d7af 529,843,686 116 DarkSlateGray3 #87d7d7 529,843,843 117 SkyBlue1 #87d7ff 529,843,1000 118 Chartreuse1 #87ff00 529,1000,0 119 LightGreen #87ff5f 529,1000,372 120 LightGreen #87ff87 529,1000,529 121 PaleGreen1 #87ffaf 529,1000,686 122 Aquamarine1 #87ffd7 529,1000,843 123 DarkSlateGray1 #87ffff 529,1000,1000 124 Red3 #af0000 686,0,0 125 DeepPink4 #af005f 686,0,372 126 MediumVioletRed #af0087 686,0,529 127 Magenta3 #af00af 686,0,686 128 DarkViolet #af00d7 686,0,843 129 Purple #af00ff 686,0,1000 130 DarkOrange3 #af5f00 686,372,0 131 IndianRed #af5f5f 686,372,372 132 HotPink3 #af5f87 686,372,529 133 MediumOrchid3 #af5faf 686,372,686 134 MediumOrchid #af5fd7 686,372,843 135 MediumPurple2 #af5fff 686,372,1000 136 DarkGoldenrod #af8700 686,529,0 137 LightSalmon3 #af875f 686,529,372 138 RosyBrown #af8787 686,529,529 139 Grey63 #af87af 686,529,686 140 MediumPurple2 #af87d7 686,529,843 141 MediumPurple1 #af87ff 686,529,1000 142 Gold3 #afaf00 686,686,0 143 DarkKhaki #afaf5f 686,686,372 144 NavajoWhite3 #afaf87 686,686,529 145 Grey69 #afafaf 686,686,686 146 LightSteelBlue3 #afafd7 686,686,843 147 LightSteelBlue #afafff 686,686,1000 148 Yellow3 #afd700 686,843,0 149 DarkOliveGreen3 #afd75f 686,843,372 150 DarkSeaGreen3 #afd787 686,843,529 151 DarkSeaGreen2 #afd7af 686,843,686 152 LightCyan3 #afd7d7 686,843,843 153 LightSkyBlue1 #afd7ff 686,843,1000 154 GreenYellow #afff00 686,1000,0 155 DarkOliveGreen2 #afff5f 686,1000,372 156 PaleGreen1 #afff87 686,1000,529 157 DarkSeaGreen2 #afffaf 686,1000,686 158 DarkSeaGreen1 #afffd7 686,1000,843 159 PaleTurquoise1 #afffff 686,1000,1000 160 Red3 #d70000 843,0,0 161 DeepPink3 #d7005f 843,0,372 162 DeepPink3 #d70087 843,0,529 163 Magenta3 #d700af 843,0,686 164 Magenta3 #d700d7 843,0,843 165 Magenta2 #d700ff 843,0,1000 166 DarkOrange3 #d75f00 843,372,0 167 IndianRed #d75f5f 843,372,372 168 HotPink3 #d75f87 843,372,529 169 HotPink2 #d75faf 843,372,686 170 Orchid #d75fd7 843,372,843 171 MediumOrchid1 #d75fff 843,372,1000 172 Orange3 #d78700 843,529,0 173 LightSalmon3 #d7875f 843,529,372 174 LightPink3 #d78787 843,529,529 175 Pink3 #d787af 843,529,686 176 Plum3 #d787d7 843,529,843 177 Violet #d787ff 843,529,1000 178 Gold3 #d7af00 843,686,0 179 LightGoldenrod3 #d7af5f 843,686,372 180 Tan #d7af87 843,686,529 181 MistyRose3 #d7afaf 843,686,686 182 Thistle3 #d7afd7 843,686,843 183 Plum2 #d7afff 843,686,1000 184 Yellow3 #d7d700 843,843,0 185 Khaki3 #d7d75f 843,843,372 186 LightGoldenrod2 #d7d787 843,843,529 187 LightYellow3 #d7d7af 843,843,686 188 Grey84 #d7d7d7 843,843,843 189 LightSteelBlue1 #d7d7ff 843,843,1000 190 Yellow2 #d7ff00 843,1000,0 191 DarkOliveGreen1 #d7ff5f 843,1000,372 192 DarkOliveGreen1 #d7ff87 843,1000,529 193 DarkSeaGreen1 #d7ffaf 843,1000,686 194 Honeydew2 #d7ffd7 843,1000,843 195 LightCyan1 #d7ffff 843,1000,1000 196 Red1 #ff0000 1000,0,0 197 DeepPink2 #ff005f 1000,0,372 198 DeepPink1 #ff0087 1000,0,529 199 DeepPink1 #ff00af 1000,0,686 200 Magenta2 #ff00d7 1000,0,843 201 Magenta1 #ff00ff 1000,0,1000 202 OrangeRed1 #ff5f00 1000,372,0 203 IndianRed1 #ff5f5f 1000,372,372 204 IndianRed1 #ff5f87 1000,372,529 205 HotPink #ff5faf 1000,372,686 206 HotPink #ff5fd7 1000,372,843 207 MediumOrchid1 #ff5fff 1000,372,1000 208 DarkOrange #ff8700 1000,529,0 209 Salmon1 #ff875f 1000,529,372 210 LightCoral #ff8787 1000,529,529 211 PaleVioletRed1 #ff87af 1000,529,686 212 Orchid2 #ff87d7 1000,529,843 213 Orchid1 #ff87ff 1000,529,1000 214 Orange1 #ffaf00 1000,686,0 215 SandyBrown #ffaf5f 1000,686,372 216 LightSalmon1 #ffaf87 1000,686,529 217 LightPink1 #ffafaf 1000,686,686 218 Pink1 #ffafd7 1000,686,843 219 Plum1 #ffafff 1000,686,1000 220 Gold1 #ffd700 1000,843,0 221 LightGoldenrod2 #ffd75f 1000,843,372 222 LightGoldenrod2 #ffd787 1000,843,529 223 NavajoWhite1 #ffd7af 1000,843,686 224 MistyRose1 #ffd7d7 1000,843,843 225 Thistle1 #ffd7ff 1000,843,1000 226 Yellow1 #ffff00 1000,1000,0 227 LightGoldenrod1 #ffff5f 1000,1000,372 228 Khaki1 #ffff87 1000,1000,529 229 Wheat1 #ffffaf 1000,1000,686 230 Cornsilk1 #ffffd7 1000,1000,843 231 Grey100 #ffffff 1000,1000,1000 232 Grey3 #080808 31,31,31 233 Grey7 #121212 70,70,70 234 Grey11 #1c1c1c 109,109,109 235 Grey15 #262626 149,149,149 236 Grey19 #303030 188,188,188 237 Grey23 #3a3a3a 227,227,227 238 Grey27 #444444 266,266,266 239 Grey30 #4e4e4e 305,305,305 240 Grey35 #585858 345,345,345 241 Grey39 #626262 384,384,384 242 Grey42 #6c6c6c 423,423,423 243 Grey46 #767676 462,462,462 244 Grey50 #808080 501,501,501 245 Grey54 #8a8a8a 541,541,541 246 Grey58 #949494 580,580,580 247 Grey62 #9e9e9e 619,619,619 248 Grey66 #a8a8a8 658,658,658 249 Grey70 #b2b2b2 698,698,698 250 Grey74 #bcbcbc 737,737,737 251 Grey78 #c6c6c6 776,776,776 252 Grey82 #d0d0d0 815,815,815 253 Grey85 #dadada 854,854,854 254 Grey89 #e4e4e4 894,894,894 255 Grey93 #eeeeee 933,933,933
Different Code 128 barcode symbols representing the same data
I'm currently using software called LineView. It generates downtime reason codes for our factory lines. An operator scans the barcodes with an RS232 scanner and it goes into our XL board system. The software itself generates the barcodes within an internet browser, but I am trying to make it so our own labeling machine can also print out the barcodes. However, the barcodes that are produced by the labeler (and the many online barcode generators I've tried) look longer and do not work. The data for the example 128 barcode that I am trying to replicate is [SOH]1[STX]65;1067[ETX]. According to the manual: - The Start of Header character (ASCII 0x01) starts the XL Command packet. 1 - The Serial Address of the XL device (the default is 1). - The Start of Transmission character (ASCII 0x02) marks the start of the actual command. 65; - The ID of the Production State > Set Reason Code command. The Reason Code ID (which can range from 1 to 999 for system reasons or 1000 to 1999 for user defined reasons). In my case it is 1067 - The End of Transmission character (ASCII 0x03) ends the XL Command packet. I have attatched the pictures of what LineView produces (which is what I want it to look like) and what it is currently printing like on our labeller. When I scan them they both come up with the [SOH]1[STX]65;1067[ETX] code despite them looking different. Any help with this would be very much appreciated.
Your intended barcode is constructed internally using the following series of Code 128 codewords which correctly represent the ASCII control characters: 103 Start-in-Mode-A (Upper-case and control characters) 65 [SOH] (ASCII 1) 17 1 66 [STX] (ASCII 2) 22 6 21 5 27 ; 99 Switch-to-Mode-C (Double-density numeric) 10 10 67 67 101 Switch-to-Mode-A 67 [ETX] (ASCII 3) 67 Check-digit 106 Stop Your label printer is printing a barcode representing the literal string [SOH]1[STX]65;1067[ETX] with no ASCII control characters (i.e. left-bracket, S, O, H, right-bracket, ...) using the following internal codewords: 104 Start-in-Mode-B (Mixed-case) 59 [ 51 S 47 O 40 H 61 ] 17 1 59 [ 51 S 52 T 56 X 61 ] 22 6 21 5 27 ; 99 Switch-to-Mode-C (Double-density numeric) 10 10 67 67 100 Switch-to-Mode-B 59 [ 37 E 52 T 56 X 61 ] 57 Check-digit 106 Stop So you need to work out how to correctly specify ASCII control characters in the input to your labelling machine.