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=={{header| |
=={{header|AutoHotkey}}== |
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<lang |
<lang AutoHotkey># Author AlephX Aug 17 2011 |
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SetFormat, float, 4.2 |
SetFormat, float, 4.2 |
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Revision as of 13:04, 22 August 2011
You are encouraged to solve this task according to the task description, using any language you may know.
Often data is produced by one program, in the wrong format for later use by another program or person. In these situations another program can be written to parse and transform the original data into a format useful to the other. The term "Data Munging" is often used in programming circles for this task.
A request on the comp.lang.awk newsgroup lead to a typical data munging task:
I have to analyse data files that have the following format: Each row corresponds to 1 day and the field logic is: $1 is the date, followed by 24 value/flag pairs, representing measurements at 01:00, 02:00 ... 24:00 of the respective day. In short: <date> <val1> <flag1> <val2> <flag2> ... <val24> <flag24> Some test data is available at: ... (nolonger available at original location) I have to sum up the values (per day and only valid data, i.e. with flag>0) in order to calculate the mean. That's not too difficult. However, I also need to know what the "maximum data gap" is, i.e. the longest period with successive invalid measurements (i.e values with flag<=0)
The data is free to download and use and is of this format:
1991-03-30 10.000 1 10.000 1 10.000 1 10.000 1 10.000 1 10.000 1 10.000 1 10.000 1 10.000 1 10.000 1 10.000 1 10.000 1 10.000 1 10.000 1 10.000 1 10.000 1 10.000 1 10.000 1 10.000 1 10.000 1 10.000 1 10.000 1 10.000 1 10.000 1 1991-03-31 10.000 1 10.000 1 10.000 1 10.000 1 10.000 1 10.000 1 10.000 1 20.000 1 20.000 1 20.000 1 35.000 1 50.000 1 60.000 1 40.000 1 30.000 1 30.000 1 30.000 1 25.000 1 20.000 1 20.000 1 20.000 1 20.000 1 20.000 1 35.000 1 1991-03-31 40.000 1 0.000 -2 0.000 -2 0.000 -2 0.000 -2 0.000 -2 0.000 -2 0.000 -2 0.000 -2 0.000 -2 0.000 -2 0.000 -2 0.000 -2 0.000 -2 0.000 -2 0.000 -2 0.000 -2 0.000 -2 0.000 -2 0.000 -2 0.000 -2 0.000 -2 0.000 -2 0.000 -2 1991-04-01 0.000 -2 13.000 1 16.000 1 21.000 1 24.000 1 22.000 1 20.000 1 18.000 1 29.000 1 44.000 1 50.000 1 43.000 1 38.000 1 27.000 1 27.000 1 24.000 1 23.000 1 18.000 1 12.000 1 13.000 1 14.000 1 15.000 1 13.000 1 10.000 1 1991-04-02 8.000 1 9.000 1 11.000 1 12.000 1 12.000 1 12.000 1 27.000 1 26.000 1 27.000 1 33.000 1 32.000 1 31.000 1 29.000 1 31.000 1 25.000 1 25.000 1 24.000 1 21.000 1 17.000 1 14.000 1 15.000 1 12.000 1 12.000 1 10.000 1 1991-04-03 10.000 1 9.000 1 10.000 1 10.000 1 9.000 1 10.000 1 15.000 1 24.000 1 28.000 1 24.000 1 18.000 1 14.000 1 12.000 1 13.000 1 14.000 1 15.000 1 14.000 1 15.000 1 13.000 1 13.000 1 13.000 1 12.000 1 10.000 1 10.000 1
Only a sample of the data showing its format is given above. The full example file may be downloaded here.
Structure your program to show statistics for each line of the file, (similar to the original Python, Perl, and AWK examples below), followed by summary statistics for the file. When showing example output just show a few line statistics and the full end summary.
Ada
<lang ada>with Ada.Text_IO; use Ada.Text_IO; with Strings_Edit; use Strings_Edit; with Strings_Edit.Floats; use Strings_Edit.Floats; with Strings_Edit.Integers; use Strings_Edit.Integers;
procedure Data_Munging is
Syntax_Error : exception;
type Gap_Data is record
Count : Natural := 0;
Line : Natural := 0;
Pointer : Integer;
Year : Integer;
Month : Integer;
Day : Integer;
end record;
File : File_Type;
Max : Gap_Data;
This : Gap_Data;
Current : Gap_Data;
Count : Natural := 0;
Sum : Float := 0.0;
begin
Open (File, In_File, "readings.txt");
loop
declare
Line : constant String := Get_Line (File);
Pointer : Integer := Line'First;
Flag : Integer;
Data : Float;
begin
Current.Line := Current.Line + 1;
Get (Line, Pointer, SpaceAndTab);
Get (Line, Pointer, Current.Year);
Get (Line, Pointer, Current.Month);
Get (Line, Pointer, Current.Day);
while Pointer <= Line'Last loop
Get (Line, Pointer, SpaceAndTab);
Current.Pointer := Pointer;
Get (Line, Pointer, Data);
Get (Line, Pointer, SpaceAndTab);
Get (Line, Pointer, Flag);
if Flag < 0 then
if This.Count = 0 then
This := Current;
end if;
This.Count := This.Count + 1;
else
if This.Count > 0 and then Max.Count < This.Count then
Max := This;
end if;
This.Count := 0;
Count := Count + 1;
Sum := Sum + Data;
end if;
end loop;
exception
when End_Error =>
raise Syntax_Error;
end;
end loop;
exception
when End_Error =>
Close (File);
if This.Count > 0 and then Max.Count < This.Count then
Max := This;
end if;
Put_Line ("Average " & Image (Sum / Float (Count)) & " over " & Image (Count));
if Max.Count > 0 then
Put ("Max. " & Image (Max.Count) & " false readings start at ");
Put (Image (Max.Line) & ':' & Image (Max.Pointer) & " stamped ");
Put_Line (Image (Max.Year) & Image (Max.Month) & Image (Max.Day));
end if;
when others =>
Close (File);
Put_Line ("Syntax error at " & Image (Current.Line) & ':' & Image (Max.Pointer));
end Data_Munging;</lang> The implementation performs minimal checks. The average is calculated over all valid data. For the maximal chain of consequent invalid data, the source line number, the column number, and the time stamp of the first invalid data is printed. Sample output:
Average 10.47915 over 129628 Max. 589 false readings start at 1136:20 stamped 1993-2-9
ALGOL 68
<lang algol68>INT no data := 0; # Current run of consecutive flags<0 in lines of file # INT no data max := -1; # Max consecutive flags<0 in lines of file # FLEX[0]STRING no data max line; # ... and line number(s) where it occurs #
REAL tot file := 0; # Sum of file data # INT num file := 0; # Number of file data items with flag>0 #
- CHAR fs = " "; #
INT nf = 24;
INT upb list := nf; FORMAT list repr = $n(upb list-1)(g", ")g$;
PROC exception = ([]STRING args)VOID:(
putf(stand error, ($"Exception"$, $", "g$, args, $l$)); stop
);
PROC raise io error = (STRING message)VOID:exception(("io error", message));
OP +:= = (REF FLEX []STRING rhs, STRING append)REF FLEX[]STRING: (
HEAP [UPB rhs+1]STRING out rhs; out rhs[:UPB rhs] := rhs; out rhs[UPB rhs+1] := append; rhs := out rhs; out rhs
);
INT upb opts = 3; # these are "a68g" "./Data_Munging.a68" & "-" # [argc - upb opts]STRING in files; FOR arg TO UPB in files DO in files[arg] := argv(upb opts + arg) OD;
MODE FIELD = STRUCT(REAL data, INT flag); FORMAT field repr = $2(g)$;
FOR index file TO UPB in files DO
STRING file name = in files[index file], FILE file;
IF open(file, file name, stand in channel) NE 0 THEN
raise io error("Cannot open """+file name+"""") FI;
on logical file end(file, (REF FILE f)BOOL: logical file end done);
REAL tot line, INT num line;
# make term(file, ", ") for CSV data #
STRING date;
DO
tot line := 0; # sum of line data #
num line := 0; # number of line data items with flag>0 #
# extract field info #
[nf]FIELD data;
getf(file, ($10a$, date, field repr, data, $l$));
FOR key TO UPB data DO
FIELD field = data[key];
IF flag OF field<1 THEN
no data +:= 1
ELSE
# check run of data-absent data #
IF no data max = no data AND no data>0 THEN
no data max line +:= date FI;
IF no data max<no data AND no data>0 THEN
no data max := no data;
no data max line := date FI;
# re-initialise run of no data counter #
no data := 0;
# gather values for averaging #
tot line +:= data OF field;
num line +:= 1
FI
OD;
# totals for the file so far # tot file +:= tot line; num file +:= num line;
printf(($"Line: "g" Reject: "g(-2)" Accept: "g(-2)" Line tot: "g(-14, 3)" Line avg: "g(-14, 3)l$,
date,
UPB(data) -num line,
num line, tot line,
IF num line>0 THEN tot line/num line ELSE 0 FI))
OD;
logical file end done:
close(file)
OD;
FORMAT plural = $b(" ", "s")$,
p = $b("", "s")$;
upb list := UPB in files; printf(($l"File"f(plural)" = "$, upb list = 1, list repr, in files, $l$,
$"Total = "g(-0, 3)l$, tot file,
$"Readings = "g(-0)l$, num file,
$"Average = "g(-0, 3)l$, tot file / num file));
upb list := UPB no data max line; printf(($l"Maximum run"f(p)" of "g(-0)" consecutive false reading"f(p)" ends at line starting with date"f(p)": "$,
upb list = 1, no data max, no data max = 0, upb list = 1, list repr, no data max line, $l$))</lang>
Command:
$ a68g ./Data_Munging.a68 - data
Output:
Line: 1991-03-30 Reject: 0 Accept: 24 Line tot: 240.000 Line avg: 10.000 Line: 1991-03-31 Reject: 0 Accept: 24 Line tot: 565.000 Line avg: 23.542 Line: 1991-03-31 Reject: 23 Accept: 1 Line tot: 40.000 Line avg: 40.000 Line: 1991-04-01 Reject: 1 Accept: 23 Line tot: 534.000 Line avg: 23.217 Line: 1991-04-02 Reject: 0 Accept: 24 Line tot: 475.000 Line avg: 19.792 Line: 1991-04-03 Reject: 0 Accept: 24 Line tot: 335.000 Line avg: 13.958 File = data Total = 2189.000 Readings = 120 Average = 18.242 Maximum run of 24 consecutive false readings ends at line starting with date: 1991-04-01
AutoHotkey
<lang AutoHotkey># Author AlephX Aug 17 2011
SetFormat, float, 4.2 SetFormat, FloatFast, 4.2
data = %A_scriptdir%\readings.txt result = %A_scriptdir%\results.txt totvalid := 0 totsum := 0 totavg:= 0
Loop, Read, %data%, %result% { sum := 0 Valid := 0 Couples := 0 Lines := A_Index
Loop, parse, A_LoopReadLine, %A_Tab%
{
;MsgBox, Field number %A_Index% is %A_LoopField%
if A_index = 1 { Date := A_LoopField Counter := 0 } else { Counter++ couples := Couples + 0.5 if Counter = 1 { value := A_LoopField / 1 } else { if A_loopfield > 0 { Sum := Sum + value Valid++
if (wrong > maxwrong) { maxwrong := wrong lastwrongdate := currwrongdate startwrongdate := firstwrongdate startoccurrence := firstoccurrence lastoccurrence := curroccurrence } wrong := 0 } else { wrong++ currwrongdate := date curroccurrence := (A_index-1) / 2 if (wrong = 1) { firstwrongdate := date firstoccurrence := curroccurrence } } Counter := 0 } } } avg := sum / valid TotValid := Totvalid+valid TotSum := Totsum+sum FileAppend, Day: %date% sum: %sum% avg: %avg% Readings: %valid%/%couples%`n }
Totavg := TotSum / TotValid FileAppend, `n`nDays %Lines%`nMaximal wrong readings: %maxwrong% from %startwrongdate% at %startoccurrence% to %lastwrongdate% at %lastoccurrence%`n`n, %result% FileAppend, Valid readings: %TotValid%`nTotal Value: %TotSUm%`nAverage: %TotAvg%, %result%</lang> Sample output:
Day: 1990-01-01 sum: 590.00 avg: 26.82 Readings: 22/24.00 Day: 1990-01-02 sum: 410.00 avg: 17.08 Readings: 24/24.00 Day: 1990-01-03 sum: 1415.00 avg: 58.96 Readings: 24/24.00 Day: 1990-01-04 sum: 1800.00 avg: 75.00 Readings: 24/24.00 Day: 1990-01-05 sum: 1130.00 avg: 47.08 Readings: 24/24.00 ... Day: 2004-12-31 sum: 47.30 avg: 2.06 Readings: 23/24.00 Days 5471 Maximal wrong readings: 589 from 1993-02-09 at 2.00 to 1993-03-05 at 14.00 Valid readings: 129403 Total Value: 1358393.40 Average: 10.50
AWK
<lang awk># Author Donald 'Paddy' McCarthy Jan 01 2007
BEGIN{
nodata = 0; # Current run of consecutive flags<0 in lines of file nodata_max=-1; # Max consecutive flags<0 in lines of file nodata_maxline="!"; # ... and line number(s) where it occurs
} FNR==1 {
# Accumulate input file names
if(infiles){
infiles = infiles "," infiles
} else {
infiles = FILENAME
}
} {
tot_line=0; # sum of line data num_line=0; # number of line data items with flag>0
# extract field info, skipping initial date field
for(field=2; field<=NF; field+=2){
datum=$field;
flag=$(field+1);
if(flag<1){
nodata++
}else{
# check run of data-absent fields
if(nodata_max==nodata && (nodata>0)){
nodata_maxline=nodata_maxline ", " $1
}
if(nodata_max<nodata && (nodata>0)){
nodata_max=nodata
nodata_maxline=$1
}
# re-initialise run of nodata counter
nodata=0;
# gather values for averaging
tot_line+=datum
num_line++;
}
}
# totals for the file so far tot_file += tot_line num_file += num_line
printf "Line: %11s Reject: %2i Accept: %2i Line_tot: %10.3f Line_avg: %10.3f\n", \
$1, ((NF -1)/2) -num_line, num_line, tot_line, (num_line>0)? tot_line/num_line: 0
# debug prints of original data plus some of the computed values #printf "%s %15.3g %4i\n", $0, tot_line, num_line #printf "%s\n %15.3f %4i %4i %4i %s\n", $0, tot_line, num_line, nodata, nodata_max, nodata_maxline
}
END{
printf "\n" printf "File(s) = %s\n", infiles printf "Total = %10.3f\n", tot_file printf "Readings = %6i\n", num_file printf "Average = %10.3f\n", tot_file / num_file
printf "\nMaximum run(s) of %i consecutive false readings ends at line starting with date(s): %s\n", nodata_max, nodata_maxline
}</lang> Sample output:
bash$ awk -f readings.awk readings.txt | tail Line: 2004-12-29 Reject: 1 Accept: 23 Line_tot: 56.300 Line_avg: 2.448 Line: 2004-12-30 Reject: 1 Accept: 23 Line_tot: 65.300 Line_avg: 2.839 Line: 2004-12-31 Reject: 1 Accept: 23 Line_tot: 47.300 Line_avg: 2.057 File(s) = readings.txt Total = 1358393.400 Readings = 129403 Average = 10.497 Maximum run(s) of 589 consecutive false readings ends at line starting with date(s): 1993-03-05 bash$
Batch File
<lang dos> @echo off setlocal ENABLEDELAYEDEXPANSION set maxrun= 0 set maxstart= set maxend= set notok=0 set inputfile=%1 for /F "tokens=1,*" %%i in (%inputfile%) do (
set date=%%i call :processline %%j
)
echo\ echo max false: %maxrun% from %maxstart% until %maxend%
goto :EOF
- processline
set sum=0000 set count=0 set hour=1
- loop
if "%1"=="" goto :result set num=%1 if "%2"=="1" (
if "%notok%" NEQ "0" (
set notok= !notok!
if /I "!notok:~-5!" GTR "%maxrun%" (
set maxrun=!notok:~-5!
set maxstart=%nok0date% %nok0hour%
set maxend=%nok1date% %nok1hour%
)
set notok=0
)
set /a sum+=%num:.=%
set /a count+=1
) else (
if "%notok%" EQU "0" (
set nok0date=%date%
set nok0hour=%hour%
) else (
set nok1date=%date%
set nok1hour=%hour%
)
set /a notok+=1
) shift shift set /a hour+=1 goto :loop
- result
if "%count%"=="0" (
set mean=0
) else (
set /a mean=%sum%/%count%
) if "%mean%"=="0" set mean=0000 if "%sum%"=="0" set sum=0000 set mean=%mean:~0,-3%.%mean:~-3% set sum=%sum:~0,-3%.%sum:~-3% set count= %count% set sum= %sum% set mean= %mean% echo Line: %date% Accept: %count:~-3% tot: %sum:~-8% avg: %mean:~-8%
goto :EOF
</lang>
sample output:
C:\ >batch-fileparsing.bat readings-2.txt Line: 1990-01-01 Accept: 22 tot: 590.000 avg: 26.818 Line: 1990-01-02 Accept: 24 tot: 410.000 avg: 17.083 Line: 1990-01-03 Accept: 24 tot: 1415.000 avg: 58.958 Line: 1990-01-04 Accept: 24 tot: 1800.000 avg: 75.000 Line: 1990-01-05 Accept: 24 tot: 1130.000 avg: 47.083 Line: 1990-01-06 Accept: 24 tot: 1820.000 avg: 75.833 ... Line: 1993-12-26 Accept: 24 tot: 195.000 avg: 8.125 Line: 1993-12-27 Accept: 24 tot: 112.000 avg: 4.666 Line: 1993-12-28 Accept: 24 tot: 303.000 avg: 12.625 Line: 1993-12-29 Accept: 24 tot: 339.000 avg: 14.125 Line: 1993-12-30 Accept: 24 tot: 593.000 avg: 24.708 Line: 1993-12-31 Accept: 24 tot: 865.000 avg: 36.041 ... max false: 589 from 1993-02-09 2 until 1993-03-05 14
C
<lang c>#include <stdio.h>
- include <stdlib.h>
- include <string.h>
static int badHrs, maxBadHrs;
static double hrsTot = 0.0; static int rdgsTot = 0; char bhEndDate[40];
int mungeLine( char *line, int lno, FILE *fout ) {
char date[40], *tkn; int dHrs, flag, hrs2, hrs; double hrsSum; int hrsCnt = 0; double avg;
tkn = strtok(line, ".");
if (tkn) {
int n = sscanf(tkn, "%s %d", &date, &hrs2);
if (n<2) {
printf("badly formated line - %d %s\n", lno, tkn);
return 0;
}
hrsSum = 0.0;
while( tkn= strtok(NULL, ".")) {
n = sscanf(tkn,"%d %d %d", &dHrs, &flag, &hrs);
if (n>=2) {
if (flag > 0) {
hrsSum += 1.0*hrs2 + .001*dHrs;
hrsCnt += 1;
if (maxBadHrs < badHrs) {
maxBadHrs = badHrs;
strcpy(bhEndDate, date);
}
badHrs = 0;
}
else {
badHrs += 1;
}
hrs2 = hrs;
}
else {
printf("bad file syntax line %d: %s\n",lno, tkn);
}
}
avg = (hrsCnt > 0)? hrsSum/hrsCnt : 0.0;
fprintf(fout, "%s Reject: %2d Accept: %2d Average: %7.3f\n",
date, 24-hrsCnt, hrsCnt, hrsSum/hrsCnt);
hrsTot += hrsSum;
rdgsTot += hrsCnt;
}
return 1;
}
int main() {
FILE *infile, *outfile;
int lineNo = 0;
char line[512];
const char *ifilename = "readings.txt";
outfile = fopen("V0.txt", "w");
infile = fopen(ifilename, "rb");
if (!infile) {
printf("Can't open %s\n", ifilename);
exit(1);
}
while (NULL != fgets(line, 512, infile)) {
lineNo += 1;
if (0 == mungeLine(line, lineNo, outfile))
printf("Bad line at %d",lineNo);
}
fclose(infile);
fprintf(outfile, "File: %s\n", ifilename); fprintf(outfile, "Total: %.3f\n", hrsTot); fprintf(outfile, "Readings: %d\n", rdgsTot); fprintf(outfile, "Average: %.3f\n", hrsTot/rdgsTot); fprintf(outfile, "\nMaximum number of consecutive bad readings is %d\n", maxBadHrs); fprintf(outfile, "Ends on date %s\n", bhEndDate); fclose(outfile); return 0;
}</lang> Sample output
1990-01-01 Reject: 2 Accept: 22 Average: 26.818 1990-01-02 Reject: 0 Accept: 24 Average: 17.083 1990-01-03 Reject: 0 Accept: 24 Average: 58.958 1990-01-04 Reject: 0 Accept: 24 Average: 75.000 1990-01-05 Reject: 0 Accept: 24 Average: 47.083 ... File: readings.txt Total: 1358393.400 Readings: 129403 Average: 10.497 Maximum number of consecutive bad readings is 589 Ends on date 1993-03-05
C++
<lang Cpp>#include <iostream>
- include <fstream>
- include <string>
- include <vector>
- include <iomanip>
- include <boost/lexical_cast.hpp>
- include <boost/algorithm/string.hpp>
using std::cout; using std::endl; const int NumFlags = 24;
int main() {
std::fstream file("readings.txt");
int badCount = 0;
std::string badDate;
int badCountMax = 0;
while(true)
{
std::string line;
getline(file, line);
if(!file.good())
break;
std::vector<std::string> tokens;
boost::algorithm::split(tokens, line, boost::is_space());
if(tokens.size() != NumFlags * 2 + 1)
{
cout << "Bad input file." << endl;
return 0;
}
double total = 0.0;
int accepted = 0;
for(size_t i = 1; i < tokens.size(); i += 2)
{
double val = boost::lexical_cast<double>(tokens[i]);
int flag = boost::lexical_cast<int>(tokens[i+1]);
if(flag > 0)
{
total += val;
++accepted;
badCount = 0;
}
else
{
++badCount;
if(badCount > badCountMax)
{
badCountMax = badCount;
badDate = tokens[0];
}
}
}
cout << tokens[0];
cout << " Reject: " << std::setw(2) << (NumFlags - accepted);
cout << " Accept: " << std::setw(2) << accepted;
cout << " Average: " << std::setprecision(5) << total / accepted << endl;
}
cout << endl;
cout << "Maximum number of consecutive bad readings is " << badCountMax << endl;
cout << "Ends on date " << badDate << endl;
}</lang>
Output:
1990-01-01 Reject: 2 Accept: 22 Average: 26.818 1990-01-02 Reject: 0 Accept: 24 Average: 17.083 1990-01-03 Reject: 0 Accept: 24 Average: 58.958 1990-01-04 Reject: 0 Accept: 24 Average: 75 1990-01-05 Reject: 0 Accept: 24 Average: 47.083 ... Maximum number of consecutive bad readings is 589 Ends on date 1993-03-05
Common Lisp
<lang lisp>(defstruct (measurement (:conc-name "MEASUREMENT-") (:constructor make-measurement (counter line date flag value)))
(counter 0 :type (integer 0)) (line 0 :type (integer 0)) (date nil :type symbol) (flag 0 :type integer) (value 0 :type real))
(defun measurement-valid-p (m)
(> (measurement-flag m) 0))
(defun map-data-stream (function stream)
(flet ((scan (&optional (errorp t)) (read stream errorp nil)))
(loop
:with global-count = 0
:for date = (scan nil) :then (scan nil)
:for line-number :upfrom 1
:while date
:do (loop
:for count :upfrom 0 :below 24 :do (let* ((value (scan)) (flag (scan))) (funcall function (make-measurement global-count line-number date flag value)) (incf global-count)))
:finally (return global-count))))
(defun map-data-file (function pathname)
(with-open-file (stream pathname
:element-type 'character :direction :input :if-does-not-exist :error)
(map-data-stream function stream)))
(defmacro do-data-stream ((variable stream) &body body)
`(map-data-stream
(lambda (,variable) ,@body)
,stream))
(defmacro do-data-file ((variable file) &body body)
`(map-data-file
(lambda (,variable) ,@body)
,file))
(let ((current-day nil)
(current-line 0)
(beginning-of-misreadings nil)
(current-length 0)
(worst-beginning nil)
(worst-length 0)
(sum-of-day 0)
(count-of-day 0))
(flet ((write-end-of-day-report ()
(when current-day (format t "Line ~5D Date ~A: Accepted ~2D Total ~8,3F Average ~8,3F~%" current-line current-day count-of-day sum-of-day (if (> count-of-day 0) (/ sum-of-day count-of-day) sum-of-day)))))
(do-data-file (m #P"D:/Scratch/data.txt")
(let* ((date (measurement-date m))
(line-number (measurement-line m)) (validp (measurement-valid-p m)) (day-changed-p (/= current-line line-number)) (value (measurement-value m)))
(when day-changed-p (write-end-of-day-report) (setf current-day date) (setf current-line line-number) (setf sum-of-day 0) (setf count-of-day 0))
(if (not validp) (if beginning-of-misreadings (incf current-length) (progn (setf beginning-of-misreadings m) (setf current-length 1))) (progn (when beginning-of-misreadings (if (> current-length worst-length) (progn (setf worst-beginning beginning-of-misreadings) (setf worst-length current-length)) (progn (setf beginning-of-misreadings nil) (setf current-length 0)))) (incf sum-of-day value) (incf count-of-day)))))
(when (and beginning-of-misreadings (> current-length worst-length))
(setf worst-beginning beginning-of-misreadings)
(setf worst-length current-length))
(write-end-of-day-report))
(format t "Worst run started ~A (~D) and has length ~D~%"
(measurement-date worst-beginning) (measurement-counter worst-beginning) worst-length))</lang>
Example output:
Line 1 Date 1991-03-30: Accepted 24 Total 240.000 Average 10.000 Line 2 Date 1991-03-31: Accepted 24 Total 565.000 Average 23.542 Line 3 Date 1991-03-31: Accepted 1 Total 40.000 Average 40.000 Line 4 Date 1991-04-01: Accepted 23 Total 534.000 Average 23.217 Line 5 Date 1991-04-02: Accepted 24 Total 475.000 Average 19.792 Line 6 Date 1991-04-03: Accepted 24 Total 335.000 Average 13.958 Worst run started 1991-03-31 (49) and has length 24
D
<lang d>// Author Daniel Keep Mar 23 2009 module data_munging;
import std.conv : toInt, toDouble; import std.stdio : writefln; import std.stream : BufferedFile; import std.string : split, join, format;
void main(string[] args) {
int noData,
noDataMax = -1;
string[] noDataMaxLine;
double fileTotal = 0.0; int fileValues;
foreach( arg ; args[1..$] )
{
foreach( char[] line ; new BufferedFile(arg) )
{
double lineTotal = 0.0;
int lineValues;
// Extract field info
auto parts = split(line);
auto date = parts[0];
auto fields = parts[1..$];
assert( (fields.length & 2) == 0,
format("Expected even number of fields, not %d.",
fields.length) );
for( auto i=0; i<fields.length; i += 2 )
{
auto value = toDouble(fields[i]);
auto flag = toInt(fields[i+1]);
if( flag < 1 )
{
++ noData;
continue;
}
// Check run of data-absent fields
if( noDataMax == noData && noData > 0 )
noDataMaxLine ~= date;
if( noDataMax < noData && noData > 0 )
{
noDataMax = noData;
noDataMaxLine.length = 1;
noDataMaxLine[0] = date;
}
// Re-initialise run of noData counter
noData = 0;
// Gather values for averaging
lineTotal += value;
++ lineValues;
}
// Totals for the file so far
fileTotal += lineTotal;
fileValues += lineValues;
writefln("Line: %11s Reject: %2d Accept: %2d"
" Line_tot: %10.3f Line_avg: %10.3f",
date,
fields.length/2 - lineValues,
lineValues,
lineTotal,
lineValues > 0
? lineTotal/lineValues
: 0.0);
}
}
writefln("");
writefln("File(s) = ", join(args[1..$], ", "));
writefln("Total = %10.3f", fileTotal);
writefln("Readings = %6d", fileValues);
writefln("Average = %10.3f", fileTotal/fileValues);
writefln("\nMaximum run(s) of %d consecutive false readings ends"
" at line starting with date(s): %s",
noDataMax, join(noDataMaxLine, ", "));
}</lang>
Output matches that of the Python version.
Forth
<lang forth>\ data munging
\ 1991-03-30[\t10.000\t[-]1]*24
\ 1. mean of valid (flag > 0) values per day and overall \ 2. length of longest run of invalid values, and when it happened
fvariable day-sum variable day-n
fvariable total-sum variable total-n
10 constant date-size \ yyyy-mm-dd create cur-date date-size allot
create bad-date date-size allot variable bad-n
create worst-date date-size allot variable worst-n
- split ( buf len char -- buf' l2 buf l1 ) \ where buf'[0] = char, l1 = len-l2
>r 2dup r> scan 2swap 2 pick - ;
- next-sample ( buf len -- buf' len' fvalue flag )
#tab split >float drop 1 /string #tab split snumber? drop >r 1 /string r> ;
- ok? 0> ;
- add-sample ( value -- )
day-sum f@ f+ day-sum f! 1 day-n +! ;
- add-day
day-sum f@ total-sum f@ f+ total-sum f! day-n @ total-n +! ;
- add-bad-run
bad-n @ 0= if cur-date bad-date date-size move then 1 bad-n +! ;
- check-worst-run
bad-n @ worst-n @ > if bad-n @ worst-n ! bad-date worst-date date-size move then 0 bad-n ! ;
- hour ( buf len -- buf' len' )
next-sample ok? if add-sample check-worst-run else fdrop add-bad-run then ;
- .mean ( sum count -- ) 0 d>f f/ f. ;
- day ( line len -- )
2dup + #tab swap c! 1+ \ append tab for parsing #tab split cur-date swap move 1 /string \ skip date 0e day-sum f! 0 day-n ! 24 0 do hour loop 2drop cur-date date-size type ." mean = " day-sum f@ day-n @ .mean cr add-day ;
stdin value input
- main
s" input.txt" r/o open-file throw to input 0e total-sum f! 0 total-n ! 0 worst-n ! begin pad 512 input read-line throw while pad swap day repeat input close-file throw worst-n @ if ." Longest interruption: " worst-n @ . ." hours starting " worst-date date-size type cr then ." Total mean = " total-sum f@ total-n @ .mean cr ;
main bye</lang>
Go
<lang go>package main
import (
"bufio" "fmt" "os" "strconv" "strings"
)
var fn = "readings.txt"
func main() {
f, err := os.Open(fn)
if err != nil {
fmt.Println(err)
return
}
defer f.Close()
var (
badRun, maxRun int
badDate, maxDate string
fileSum float64
fileAccept int
)
for lr := bufio.NewReader(f); ; {
line, pref, err := lr.ReadLine()
if err == os.EOF {
break
}
if err != nil {
fmt.Println(err)
return
}
if pref {
fmt.Println("Unexpected long line.")
return
}
f := strings.Fields(string(line))
if len(f) != 49 {
fmt.Println("unexpected format,", len(f), "fields.")
return
}
var accept int
var sum float64
for i := 1; i < 49; i += 2 {
flag, err := strconv.Atoi(f[i+1])
if err != nil {
fmt.Println(err)
return
}
if flag > 0 { // value is good
if badRun > 0 { // terminate bad run
if badRun > maxRun {
maxRun = badRun
maxDate = badDate
}
badRun = 0
}
value, err := strconv.Atof64(f[i])
if err != nil {
fmt.Println(err)
return
}
sum += value
accept++
} else { // value is bad
if badRun == 0 {
badDate = f[0]
}
badRun++
}
}
fmt.Printf("Line: %s Reject %2d Accept: %2d Line_tot:%9.3f",
f[0], 24-accept, accept, sum)
if accept > 0 {
fmt.Printf(" Line_avg:%8.3f\n", sum/float64(accept))
} else {
fmt.Println("")
}
fileSum += sum
fileAccept += accept
}
fmt.Println("\nFile =", fn)
fmt.Printf("Total = %.3f\n", fileSum)
fmt.Println("Readings = ", fileAccept)
if fileAccept > 0 {
fmt.Printf("Average = %.3f\n", fileSum/float64(fileAccept))
}
if badRun > 0 && badRun > maxRun {
maxRun = badRun
maxDate = badDate
}
if maxRun == 0 {
fmt.Println("\nAll data valid.")
} else {
fmt.Printf("\nMax data gap = %d, beginning on line %s.\n",
maxRun, maxDate)
}
}</lang> Output:
... Line: 2004-12-28 Reject 1 Accept: 23 Line_tot: 77.800 Line_avg: 3.383 Line: 2004-12-29 Reject 1 Accept: 23 Line_tot: 56.300 Line_avg: 2.448 Line: 2004-12-30 Reject 1 Accept: 23 Line_tot: 65.300 Line_avg: 2.839 Line: 2004-12-31 Reject 1 Accept: 23 Line_tot: 47.300 Line_avg: 2.057 File = readings.txt Total = 1358393.400 Readings = 129403 Average = 10.497 Max data gap = 589, beginning on line 1993-02-09.
Haskell
<lang Haskell>import Data.List import Numeric import Control.Arrow import Control.Monad import Text.Printf import System.Environment import Data.Function
type Date = String type Value = Double type Flag = Bool
readFlg :: String -> Flag readFlg = (> 0).read
readNum :: String -> Value readNum = fst.head.readFloat
take2 = takeWhile(not.null).unfoldr (Just.splitAt 2)
parseData :: [String] -> (Date,[(Value,Flag)]) parseData = head &&& map(readNum.head &&& readFlg.last).take2.tail
sumAccs :: (Date,[(Value,Flag)]) -> (Date, ((Value,Int),[Flag])) sumAccs = second (((sum &&& length).concat.uncurry(zipWith(\v f -> [v|f])) &&& snd).unzip)
maxNAseq :: [Flag] -> [(Int,Int)] maxNAseq = head.groupBy((==) `on` fst).sortBy(flip compare)
. concat.uncurry(zipWith(\i (r,b)->[(r,i)|not b]))
. first(init.scanl(+)0). unzip
. map ((fst &&& id).(length &&& head)). group
main = do
file:_ <- getArgs
f <- readFile file
let dat :: [(Date,((Value,Int),[Flag]))]
dat = map (sumAccs. parseData. words).lines $ f
summ = ((sum *** sum). unzip *** maxNAseq.concat). unzip $ map snd dat
totalFmt = "\nSummary\t\t accept: %d\t total: %.3f \taverage: %6.3f\n\n"
lineFmt = "%8s\t accept: %2d\t total: %11.3f \taverage: %6.3f\n"
maxFmt = "Maximum of %d consecutive false readings, starting on line /%s/ and ending on line /%s/\n"
-- output statistics
putStrLn "\nSome lines:\n"
mapM_ (\(d,((v,n),_)) -> printf lineFmt d n v (v/fromIntegral n)) $ take 4 $ drop 2200 dat
(\(t,n) -> printf totalFmt n t (t/fromIntegral n)) $ fst summ
mapM_ ((\(l, d1,d2) -> printf maxFmt l d1 d2)
. (\(a,b)-> (a,(fst.(dat!!).(`div`24))b,(fst.(dat!!).(`div`24))(a+b)))) $ snd summ</lang>
Output: <lang Haskell>*Main> :main ["./RC/readings.txt"]</lang>
Some lines: 1996-01-11 accept: 24 total: 437.000 average: 18.208 1996-01-12 accept: 24 total: 536.000 average: 22.333 1996-01-13 accept: 24 total: 1062.000 average: 44.250 1996-01-14 accept: 24 total: 787.000 average: 32.792 Summary accept: 129403 total: 1358393.400 average: 10.497 Maximum of 589 consecutive false readings, starting on line /1993-02-09/ and ending on line /1993-03-05/
Icon and Unicon
<lang Icon>record badrun(count,fromdate,todate) # record to track bad runs
procedure main() return mungetask1("readings1-input.txt","readings1-output.txt") end
procedure mungetask1(fin,fout)
fin := open(fin) | stop("Unable to open input file ",fin) fout := open(fout,"w") | stop("Unable to open output file ",fout)
F_tot := F_acc := F_rej := 0 # data set totals rejmax := badrun(-1) # longest reject runs rejcur := badrun(0) # current reject runs
while line := read(fin) do {
line ? {
ldate := tab(many(&digits ++ '-')) # date (poorly checked)
fields := tot := rej := 0 # record counters & totals
while tab(many(' \t')) do { # whitespace before every pair
value := real(tab(many(&digits++'-.'))) | stop("Bad value in ",ldate)
tab(many(' \t'))
flag := integer(tab(many(&digits++'-'))) | stop("Bad flag in ",ldate)
fields +:= 1
if flag > 0 then { # good data, ends a bad run
if rejcur.count > rejmax.count then rejmax := rejcur
rejcur := badrun(0)
tot +:= value
}
else { # bad (flagged) data
if rejcur.count = 0 then rejcur.fromdate := ldate
rejcur.todate := ldate
rejcur.count +:= 1
rej +:= 1
}
}
}
F_tot +:= tot
F_acc +:= acc := fields - rej
F_rej +:= rej
write(fout,"Line: ",ldate," Reject: ", rej," Accept: ", acc," Line_tot: ",tot," Line_avg: ", if acc > 0 then tot / acc else 0)
}
write(fout,"\nTotal = ",F_tot,"\nReadings = ",F_acc,"\nRejects = ",F_rej,"\nAverage = ",F_tot / F_acc) if rejmax.count > 0 then
write(fout,"Maximum run of bad data was ",rejmax.count," readings from ",rejmax.fromdate," to ",rejmax.todate)
else
write(fout,"No bad runs of data")
end</lang> Sample Output:
... Line: 2004-12-28 Reject: 1 Accept: 23 Line_tot: 77.80000000000001 Line_avg: 3.382608695652174 Line: 2004-12-29 Reject: 1 Accept: 23 Line_tot: 56.3 Line_avg: 2.447826086956522 Line: 2004-12-30 Reject: 1 Accept: 23 Line_tot: 65.3 Line_avg: 2.839130434782609 Line: 2004-12-31 Reject: 1 Accept: 23 Line_tot: 47.3 Line_avg: 2.056521739130435 Total = 1358393.399999999 Readings = 129403 Rejects = 1901 Average = 10.49738723213526 Maximum run of bad data was 589 readings from 1993-02-09 to 1993-03-05
J
Solution: <lang j> load 'files'
parseLine=: 10&({. ,&< (_99&".;._1)@:}.) NB. custom parser
summarize=: # , +/ , +/ % # NB. count,sum,mean
filter=: #~ 0&< NB. keep valid measurements
'Dates dat'=: |: parseLine;._2 CR -.~ fread jpath '~temp/readings.txt'
Vals=: (+: i.24){"1 dat
Flags=: (>: +: i.24){"1 dat
DailySummary=: Vals summarize@filter"1 Flags
RunLengths=: ([: #(;.1) 0 , }. *. }:) , 0 >: Flags
]MaxRun=: >./ RunLengths
589
]StartDates=: Dates {~ (>:@I.@e.&MaxRun (24 <.@%~ +/)@{. ]) RunLengths
1993-03-05</lang>
Formatting Output
Define report formatting verbs:
<lang j>formatDailySumry=: dyad define
labels=. , ];.2 'Line: Accept: Line_tot: Line_avg: ' labels , x ,. 7j0 10j3 10j3 ": y
) formatFileSumry=: dyad define
labels=. ];.2 'Total: Readings: Average: '
sumryvals=. (, %/) 1 0{ +/y
out=. labels ,. 12j3 12j0 12j3 ":&> sumryvals
'maxrun dates'=. x
out=. out,LF,'Maximum run(s) of ',(": maxrun),' consecutive false readings ends at line(s) starting with date(s): ',dates
)</lang> Show output: <lang j> (_4{.Dates) formatDailySumry _4{. DailySummary Line: Accept: Line_tot: Line_avg: 2004-12-28 23 77.800 3.383 2004-12-29 23 56.300 2.448 2004-12-30 23 65.300 2.839 2004-12-31 23 47.300 2.057
(MaxRun;StartDates) formatFileSumry DailySummary
Total: 1358393.400 Readings: 129403 Average: 10.497
Maximum run(s) of 589 consecutive false readings ends at line(s) starting with date(s): 1993-03-05</lang>
JavaScript
<lang javascript>var filename = 'readings.txt'; var show_lines = 5; var file_stats = {
'num_readings': 0, 'total': 0, 'reject_run': 0, 'reject_run_max': 0, 'reject_run_date':
};
var fh = new ActiveXObject("Scripting.FileSystemObject").openTextFile(filename, 1); // 1 = for reading while ( ! fh.atEndOfStream) {
var line = fh.ReadLine(); line_stats(line, (show_lines-- > 0));
} fh.close();
WScript.echo(
"\nFile(s) = " + filename + "\n" + "Total = " + dec3(file_stats.total) + "\n" + "Readings = " + file_stats.num_readings + "\n" + "Average = " + dec3(file_stats.total / file_stats.num_readings) + "\n\n" + "Maximum run of " + file_stats.reject_run_max + " consecutive false readings ends at " + file_stats.reject_run_date
);
function line_stats(line, print_line) {
var readings = 0;
var rejects = 0;
var total = 0;
var fields = line.split('\t');
var date = fields.shift();
while (fields.length > 0) {
var value = parseFloat(fields.shift());
var flag = parseInt(fields.shift(), 10);
readings++;
if (flag <= 0) {
rejects++;
file_stats.reject_run++;
}
else {
total += value;
if (file_stats.reject_run > file_stats.reject_run_max) {
file_stats.reject_run_max = file_stats.reject_run;
file_stats.reject_run_date = date;
}
file_stats.reject_run = 0;
}
}
file_stats.num_readings += readings - rejects; file_stats.total += total;
if (print_line) {
WScript.echo(
"Line: " + date + "\t" +
"Reject: " + rejects + "\t" +
"Accept: " + (readings - rejects) + "\t" +
"Line_tot: " + dec3(total) + "\t" +
"Line_avg: " + ((readings == rejects) ? "0.0" : dec3(total / (readings - rejects)))
);
}
}
// round a number to 3 decimal places function dec3(value) {
return Math.round(value * 1e3) / 1e3;
}</lang>
outputs:
Line: 1990-01-01 Reject: 2 Accept: 22 Line_tot: 590 Line_avg: 26.818 Line: 1990-01-02 Reject: 0 Accept: 24 Line_tot: 410 Line_avg: 17.083 Line: 1990-01-03 Reject: 0 Accept: 24 Line_tot: 1415 Line_avg: 58.958 Line: 1990-01-04 Reject: 0 Accept: 24 Line_tot: 1800 Line_avg: 75 Line: 1990-01-05 Reject: 0 Accept: 24 Line_tot: 1130 Line_avg: 47.083 File(s) = readings.txt Total = 1358393.4 Readings = 129403 Average = 10.497 Maximum run of 589 consecutive false readings ends at 1993-03-05
Lua
<lang Lua>filename = "readings.txt" io.input( filename )
file_sum, file_cnt_data, file_lines = 0, 0, 0 max_rejected, n_rejected = 0, 0 max_rejected_date, rejected_date = "", ""
while true do
data = io.read("*line")
if data == nil then break end
date = string.match( data, "%d+%-%d+%-%d+" )
if date == nil then break end
val = {}
for w in string.gmatch( data, "%s%-*%d+[%.%d]*" ) do
val[#val+1] = tonumber(w)
end
sum, cnt = 0, 0
for i = 1, #val, 2 do
if val[i+1] > 0 then
sum = sum + val[i]
cnt = cnt + 1
n_rejected = 0
else
if n_rejected == 0 then rejected_date = date
end n_rejected = n_rejected + 1 if n_rejected > max_rejected then max_rejected = n_rejected max_rejected_date = rejected_date end end end file_sum = file_sum + sum file_cnt_data = file_cnt_data + cnt file_lines = file_lines + 1 print( string.format( "%s:\tRejected: %d\tAccepted: %d\tLine_total: %f\tLine_average: %f", date, #val/2-cnt, cnt, sum, sum/cnt ) )
end
print( string.format( "\nFile:\t %s", filename ) ) print( string.format( "Total:\t %f", file_sum ) ) print( string.format( "Readings: %d", file_lines ) ) print( string.format( "Average: %f", file_sum/file_cnt_data ) ) print( string.format( "Maximum %d consecutive false readings starting at %s.", max_rejected, max_rejected_date ) )</lang>
Output: File: readings.txt Total: 1358393.400000 Readings: 5471 Average: 10.497387 Maximum 589 consecutive false readings starting at 1993-02-09.
OCaml
<lang ocaml>let input_line ic =
try Some(input_line ic) with End_of_file -> None
let fold_input f ini ic =
let rec fold ac = match input_line ic with | Some line -> fold (f ac line) | None -> ac in fold ini
let ic = open_in "readings.txt"
let scan line =
Scanf.sscanf line "%s\
\t%f\t%d\t%f\t%d\t%f\t%d\t%f\t%d\t%f\t%d\t%f\t%d\
\t%f\t%d\t%f\t%d\t%f\t%d\t%f\t%d\t%f\t%d\t%f\t%d\
\t%f\t%d\t%f\t%d\t%f\t%d\t%f\t%d\t%f\t%d\t%f\t%d\
\t%f\t%d\t%f\t%d\t%f\t%d\t%f\t%d\t%f\t%d\t%f\t%d"
(fun date
v1 f1 v2 f2 v3 f3 v4 f4 v5 f5 v6 f6
v7 f7 v8 f8 v9 f9 v10 f10 v11 f11 v12 f12
v13 f13 v14 f14 v15 f15 v16 f16 v17 f17 v18 f18
v19 f19 v20 f20 v21 f21 v22 f22 v23 f23 v24 f24 ->
(date),
[ (v1, f1 ); (v2, f2 ); (v3, f3 ); (v4, f4 ); (v5, f5 ); (v6, f6 );
(v7, f7 ); (v8, f8 ); (v9, f9 ); (v10, f10); (v11, f11); (v12, f12);
(v13, f13); (v14, f14); (v15, f15); (v16, f16); (v17, f17); (v18, f18);
(v19, f19); (v20, f20); (v21, f21); (v22, f22); (v23, f23); (v24, f24); ])
let tot_file, num_file, _, nodata_max, nodata_maxline =
fold_input
(fun (tot_file, num_file, nodata, nodata_max, nodata_maxline) line ->
let date, datas = scan line in
let _datas = List.filter (fun (_, flag) -> flag > 0) datas in
let ok = List.length _datas in
let tot = List.fold_left (fun ac (value, _) -> ac +. value) 0.0 _datas in
let nodata, nodata_max, nodata_maxline =
List.fold_left
(fun (nodata, nodata_max, nodata_maxline) (_, flag) ->
if flag <= 0
then (succ nodata, nodata_max, nodata_maxline)
else
if nodata_max = nodata && nodata > 0
then (0, nodata_max, date::nodata_maxline)
else if nodata_max < nodata && nodata > 0
then (0, nodata, [date])
else (0, nodata_max, nodata_maxline)
)
(nodata, nodata_max, nodata_maxline) datas in
Printf.printf "Line: %s" date;
Printf.printf " Reject: %2d Accept: %2d" (24 - ok) ok;
Printf.printf "\tLine_tot: %8.3f" tot;
Printf.printf "\tLine_avg: %8.3f\n" (tot /. float ok);
(tot_file +. tot, num_file + ok, nodata, nodata_max, nodata_maxline))
(0.0, 0, 0, 0, [])
ic ;;
close_in ic ;;
Printf.printf "Total = %f\n" tot_file; Printf.printf "Readings = %d\n" num_file; Printf.printf "Average = %f\n" (tot_file /. float num_file); Printf.printf "Maximum run(s) of %d consecutive false readings \
ends at line starting with date(s): %s\n"
nodata_max (String.concat ", " nodata_maxline);</lang>
Perl
An AWK-like solution
<lang perl>use strict; use warnings;
my $nodata = 0; # Current run of consecutive flags<0 in lines of file my $nodata_max = -1; # Max consecutive flags<0 in lines of file my $nodata_maxline = "!"; # ... and line number(s) where it occurs
my $infiles = join ", ", @ARGV;
my $tot_file = 0; my $num_file = 0;
while (<>) {
chomp;
my $tot_line = 0; # sum of line data
my $num_line = 0; # number of line data items with flag>0
my $rejects = 0;
# extract field info, skipping initial date field
my ($date, @fields) = split;
while (@fields and my ($datum, $flag) = splice @fields, 0, 2) {
if ($flag+1 < 2) {
$nodata++;
$rejects++;
next;
}
# check run of data-absent fields
if($nodata_max == $nodata and $nodata > 0){
$nodata_maxline = "$nodata_maxline, $date";
}
if($nodata_max < $nodata and $nodata > 0){
$nodata_max = $nodata;
$nodata_maxline = $date;
}
# re-initialise run of nodata counter
$nodata = 0;
# gather values for averaging
$tot_line += $datum;
$num_line++;
}
# totals for the file so far
$tot_file += $tot_line;
$num_file += $num_line;
printf "Line: %11s Reject: %2i Accept: %2i Line_tot: %10.3f Line_avg: %10.3f\n",
$date, $rejects, $num_line, $tot_line, ($num_line>0)? $tot_line/$num_line: 0;
}
printf "\n"; printf "File(s) = %s\n", $infiles; printf "Total = %10.3f\n", $tot_file; printf "Readings = %6i\n", $num_file; printf "Average = %10.3f\n", $tot_file / $num_file;
printf "\nMaximum run(s) of %i consecutive false readings ends at line starting with date(s): %s\n",
$nodata_max, $nodata_maxline;</lang>
Sample output:
bash$ perl -f readings.pl readings.txt | tail Line: 2004-12-29 Reject: 1 Accept: 23 Line_tot: 56.300 Line_avg: 2.448 Line: 2004-12-30 Reject: 1 Accept: 23 Line_tot: 65.300 Line_avg: 2.839 Line: 2004-12-31 Reject: 1 Accept: 23 Line_tot: 47.300 Line_avg: 2.057 File(s) = readings.txt Total = 1358393.400 Readings = 129403 Average = 10.497 Maximum run(s) of 589 consecutive false readings ends at line starting with date(s): 1993-03-05 bash$
An object-oriented solution
<lang perl>use strict; use warnings;
use constant RESULT_TEMPLATE => "%-19s = %12.3f / %-6u = %.3f\n";
my $parser = Parser->new;
- parse lines and print results
printf RESULT_TEMPLATE, $parser->parse(split)
while <>;
$parser->finish;
- print total and summary
printf "\n".RESULT_TEMPLATE."\n", $parser->result; printf "the maximum of %u consecutive bad values was reached %u time(s)\n",
$parser->bad_max, scalar $parser->bad_ranges;
- print bad ranges
print for map { ' '.join(' - ', @$_)."\n" } $parser->bad_ranges;
BEGIN {
package main::Parser;
sub new {
my $obj = {
SUM => 0,
COUNT => 0,
CURRENT_DATE => undef,
BAD_DATE => undef,
BAD_RANGES => [],
BAD_MAX => 0,
BAD_COUNT => 0
};
return bless $obj; }
sub _average {
my ($sum, $count) = @_;
return ($sum, $count, $count && $sum / $count);
}
sub _push_bad_range_if_necessary {
my ($parser) = @_;
my ($count, $max) = @$parser{qw(BAD_COUNT BAD_MAX)};
return if $count < $max;
if ($count > $max) {
$parser->{BAD_RANGES} = [];
$parser->{BAD_MAX} = $count;
}
push @{$parser->{BAD_RANGES}}, [ @$parser{qw(BAD_DATE CURRENT_DATE)} ];
}
sub _check {
my ($parser, $flag) = @_;
if ($flag <= 0) {
++$parser->{BAD_COUNT};
$parser->{BAD_DATE} = $parser->{CURRENT_DATE}
unless defined $parser->{BAD_DATE};
return 0;
}
else {
$parser->_push_bad_range_if_necessary;
$parser->{BAD_COUNT} = 0;
$parser->{BAD_DATE} = undef;
return 1;
}
}
sub bad_max {
my ($parser) = @_;
return $parser->{BAD_MAX}
}
sub bad_ranges {
my ($parser) = @_;
return @{$parser->{BAD_RANGES}}
}
sub parse {
my $parser = shift;
my $date = shift;
$parser->{CURRENT_DATE} = $date;
my $sum = 0;
my $count = 0;
while (my ($value, $flag) = splice @_, 0, 2) {
next unless $parser->_check($flag);
$sum += $value;
++$count;
}
$parser->{SUM} += $sum;
$parser->{COUNT} += $count;
return ("average($date)", _average($sum, $count));
}
sub result {
my ($parser) = @_;
return ('total-average', _average(@$parser{qw(SUM COUNT)}));
}
sub finish {
my ($parser) = @_;
$parser->_push_bad_range_if_necessary
}
}</lang>
Sample output:
$ perl readings.pl < readings.txt | tail average(2004-12-27) = 57.100 / 23 = 2.483 average(2004-12-28) = 77.800 / 23 = 3.383 average(2004-12-29) = 56.300 / 23 = 2.448 average(2004-12-30) = 65.300 / 23 = 2.839 average(2004-12-31) = 47.300 / 23 = 2.057 total-average = 1358393.400 / 129403 = 10.497 the maximum of 589 consecutive bad values was reached 1 time(s) 1993-02-09 - 1993-03-05 $
Perl 6
<lang perl6>my @gaps; my $previous = 'valid';
for $*IN.lines -> $line {
my ($date, @readings) = split /\s+/, $line;
my @valid;
my $hour = 0;
for @readings -> $reading, $flag {
if $flag > 0 {
@valid.push($reading);
if $previous eq 'invalid' {
@gaps[*-1]{'end'} = "$date $hour:00";
$previous = 'valid';
}
}
else
{
if $previous eq 'valid' {
@gaps.push( {start => "$date $hour:00"} );
}
@gaps[*-1]{'count'}++;
$previous = 'invalid';
}
$hour++;
}
say "$date: { ( +@valid ?? ( ( [+] @valid ) / +@valid ).fmt("%.3f") !! 0 ).fmt("%8s") }",
" mean from { (+@valid).fmt("%2s") } valid.";
};
my $longest = @gaps.sort({-$^a<count>})[0];
say "Longest period of invalid readings was {$longest<count>} hours,\n",
"from {$longest<start>} till {$longest<end>}."</lang>
Output:
1990-01-01: 26.818 mean from 22 valid. 1990-01-02: 17.083 mean from 24 valid. 1990-01-03: 58.958 mean from 24 valid. 1990-01-04: 75.000 mean from 24 valid. 1990-01-05: 47.083 mean from 24 valid. ... (many lines omitted) ... 2004-12-27: 2.483 mean from 23 valid. 2004-12-28: 3.383 mean from 23 valid. 2004-12-29: 2.448 mean from 23 valid. 2004-12-30: 2.839 mean from 23 valid. 2004-12-31: 2.057 mean from 23 valid. Longest period of invalid readings was 589 hours, from 1993-02-09 1:00 till 1993-03-05 14:00.
PicoLisp
Put the following into an executable file "readings": <lang PicoLisp>#!/usr/bin/picolisp /usr/lib/picolisp/lib.l
(let (NoData 0 NoDataMax -1 NoDataMaxline "!" TotFile 0 NumFile 0)
(let InFiles
(glue ","
(mapcar
'((File)
(in File
(while (split (line) "^I")
(let (Len (length @) Date (car @) TotLine 0 NumLine 0)
(for (L (cdr @) L (cddr L))
(if (> 1 (format (cadr L)))
(inc 'NoData)
(when (gt0 NoData)
(when (= NoDataMax NoData)
(setq NoDataMaxline (pack NoDataMaxline ", " Date)) )
(when (> NoData NoDataMax)
(setq NoDataMax NoData NoDataMaxline Date) ) )
(zero NoData)
(inc 'TotLine (format (car L) 3))
(inc 'NumLine) ) )
(inc 'TotFile TotLine)
(inc 'NumFile NumLine)
(tab (-7 -12 -7 3 -9 3 -11 11 -11 11)
"Line:" Date
"Reject:" (- (/ (dec Len) 2) NumLine)
" Accept:" NumLine
" Line_tot:" (format TotLine 3)
" Line_avg:"
(and (gt0 NumLine) (format (*/ TotLine @) 3)) ) ) ) )
File )
(argv) ) )
(prinl)
(prinl "File(s) = " InFiles)
(prinl "Total = " (format TotFile 3))
(prinl "Readings = " NumFile)
(prinl "Average = " (format (*/ TotFile NumFile) 3))
(prinl)
(prinl
"Maximum run(s) of " NoDataMax
" consecutive false readings ends at line starting with date(s): " NoDataMaxline ) ) )
(bye)</lang> Then it can be called as
$ ./readings readings.txt |tail Line: 2004-12-29 Reject: 1 Accept: 23 Line_tot: 56.300 Line_avg: 2.448 Line: 2004-12-30 Reject: 1 Accept: 23 Line_tot: 65.300 Line_avg: 2.839 Line: 2004-12-31 Reject: 1 Accept: 23 Line_tot: 47.300 Line_avg: 2.057 File(s) = readings.txt Total = 1358393.400 Readings = 129403 Average = 10.497 Maximum run(s) of 589 consecutive false readings ends at line starting with date(s): 1993-03-05 $
PL/I
<lang PL/I> text1: procedure options (main); /* 13 May 2010 */
declare line character (2000) varying;
declare 1 pairs(24),
2 value fixed (10,4),
2 flag fixed;
declare date character (12) varying;
declare no_items fixed decimal (10);
declare (nv, sum, line_no, ndud_values, max_ndud_values) fixed;
declare (i, k) fixed binary;
declare in file input;
open file (in) title ('/TEXT1.DAT,TYPE(TEXT),RECSIZE(2000)' );
on endfile (in) go to finish_up;
line_no = 0;
loop:
do forever;
get file (in) edit (line) (L);
/* put skip list (line); */
line = translate(line, ' ', '09'x);
line_no = line_no + 1;
line = trim(line);
no_items = tally(line, ' ') - tally(line, ' ') + 1;
if no_items ^= 49 then
do; put skip list ('There are not 49 items on this line'); iterate loop; end;
k = index(line, ' '); /* Find the first blank in the line. */
date = substr(line, 1, k);
line = substr(line, k) || ' ';
on conversion go to loop;
get string (line) list (pairs);
sum, nv, ndud_values, max_ndud_values = 0;
do i = 1 to 24;
if flag(i) > 0 then
do; sum = sum + value(i); nv = nv + 1;
ndud_values = 0; /* reset the counter of dud values */
end;
else
do; /* we have a dud reading. */
ndud_values = ndud_values + 1;
if ndud_values > max_ndud_values then
max_ndud_values = ndud_values;
end;
end;
if nv = 0 then iterate;
put skip list ('Line ' || trim(line_no) || ' average=', divide(sum, nv, 10,4) );
if max_ndud_values > 0 then
put skip list ('Maximum run of dud readings =', max_ndud_values);
end;
finish_up:
end text1; </lang>
PureBasic
<lang PureBasic>#TASK="Text processing/1" Define File$, InLine$, Part$, i, Out$, ErrEnds$, Errcnt, ErrMax Define lsum.d, tsum.d, rejects, val.d, readings
File$=OpenFileRequester(#TASK,"readings.txt","",0) If OpenConsole() And ReadFile(0,File$)
While Not Eof(0)
InLine$=ReadString(0)
For i=1 To 1+2*24
Part$=StringField(InLine$,i,#TAB$)
If i=1 ; Date
Out$=Part$: lsum=0: rejects=0
ElseIf i%2=0 ; Recorded value
val=ValD(Part$)
Else ; Status part
If Val(Part$)>0
Errcnt=0 : readings+1
lsum+val : tsum+val
Else
rejects+1: Errcnt+1
If Errcnt>ErrMax
ErrMax=Errcnt
ErrEnds$=Out$
EndIf
EndIf
EndIf
Next i
Out$+" Rejects: " + Str(rejects)
Out$+" Accepts: " + Str(24-rejects)
Out$+" Line_tot: "+ StrD(lsum,3)
If rejects<24
Out$+" Line_avg: "+StrD(lsum/(24-rejects),3)
Else
Out$+" Line_avg: N/A"
EndIf
PrintN("Line: "+Out$)
Wend
PrintN(#CRLF$+"File = "+GetFilePart(File$))
PrintN("Total = "+ StrD(tsum,3))
PrintN("Readings = "+ Str(readings))
PrintN("Average = "+ StrD(tsum/readings,3))
Print(#CRLF$+"Maximum of "+Str(ErrMax))
PrintN(" consecutive false readings, ends at "+ErrEnds$)
CloseFile(0)
;
Print("Press ENTER to exit"): Input()
EndIf</lang> Sample output;
... Line: 2004-12-27 Rejects: 1 Accepts: 23 Line_tot: 57.100 Line_avg: 2.483 Line: 2004-12-28 Rejects: 1 Accepts: 23 Line_tot: 77.800 Line_avg: 3.383 Line: 2004-12-29 Rejects: 1 Accepts: 23 Line_tot: 56.300 Line_avg: 2.448 Line: 2004-12-30 Rejects: 1 Accepts: 23 Line_tot: 65.300 Line_avg: 2.839 Line: 2004-12-31 Rejects: 1 Accepts: 23 Line_tot: 47.300 Line_avg: 2.057 File = readings.txt Total = 1358393.400 Readings = 129403 Average = 10.497 Maximum of 589 consecutive false readings, ends at 1993-03-05
Python
<lang python># Author Donald 'Paddy' McCarthy Jan 01 2007
import fileinput import sys
nodata = 0; # Current run of consecutive flags<0 in lines of file nodata_max=-1; # Max consecutive flags<0 in lines of file nodata_maxline=[]; # ... and line number(s) where it occurs
tot_file = 0 # Sum of file data num_file = 0 # Number of file data items with flag>0
infiles = sys.argv[1:]
for line in fileinput.input():
tot_line=0; # sum of line data num_line=0; # number of line data items with flag>0
# extract field info field = line.split() date = field[0] data = [float(f) for f in field[1::2]] flags = [int(f) for f in field[2::2]]
for datum, flag in zip(data, flags):
if flag<1:
nodata += 1
else:
# check run of data-absent fields
if nodata_max==nodata and nodata>0:
nodata_maxline.append(date)
if nodata_max<nodata and nodata>0:
nodata_max=nodata
nodata_maxline=[date]
# re-initialise run of nodata counter
nodata=0;
# gather values for averaging
tot_line += datum
num_line += 1
# totals for the file so far tot_file += tot_line num_file += num_line
print "Line: %11s Reject: %2i Accept: %2i Line_tot: %10.3f Line_avg: %10.3f" % (
date,
len(data) -num_line,
num_line, tot_line,
tot_line/num_line if (num_line>0) else 0)
print "" print "File(s) = %s" % (", ".join(infiles),) print "Total = %10.3f" % (tot_file,) print "Readings = %6i" % (num_file,) print "Average = %10.3f" % (tot_file / num_file,)
print "\nMaximum run(s) of %i consecutive false readings ends at line starting with date(s): %s" % (
nodata_max, ", ".join(nodata_maxline))</lang>
Sample output:
bash$ /cygdrive/c/Python26/python readings.py readings.txt|tail Line: 2004-12-29 Reject: 1 Accept: 23 Line_tot: 56.300 Line_avg: 2.448 Line: 2004-12-30 Reject: 1 Accept: 23 Line_tot: 65.300 Line_avg: 2.839 Line: 2004-12-31 Reject: 1 Accept: 23 Line_tot: 47.300 Line_avg: 2.057 File(s) = readings.txt Total = 1358393.400 Readings = 129403 Average = 10.497 Maximum run(s) of 589 consecutive false readings ends at line starting with date(s): 1993-03-05 bash$
R
<lang R>#Read in data from file dfr <- read.delim("readings.txt")
- Calculate daily means
flags <- as.matrix(dfr[,seq(3,49,2)])>0 vals <- as.matrix(dfr[,seq(2,49,2)]) daily.means <- rowSums(ifelse(flags, vals, 0))/rowSums(flags)
- Calculate time between good measurements
times <- strptime(dfr[1,1], "%Y-%m-%d", tz="GMT") + 3600*seq(1,24*nrow(dfr),1) hours.between.good.measurements <- diff(times[t(flags)])/3600</lang>
REXX
<lang rexx> /*REXX program to process instrument data from a data file. */
numeric digits 20 /*allow for bigger numbers. */ ifid='READINGS.TXT' /*the input file. */ ofid='READINGS.OUT' /*the outut file. */ grandSum=0 /*grand sum of whole file. */ grandflg=0 /*grand num of flagged data. */ grandOKs=0 longFlag=0 /*longest period of flagged data.*/ contFlag=0 /*longest continous flagged data.*/ w=16 /*width of fields when displayed.*/
do recs=1 while lines(ifid)\==0 /*read until finished. */ rec=linein(ifid) /*read the next record (line). */ parse var rec datestamp Idata /*pick off the dateStamp & data. */ sum=0 flg=0 OKs=0
do j=1 until Idata= /*process the instrument data. */ parse var Idata data.j flag.j Idata
if flag.j>0 then do /*if good data, ... */
OKs=OKs+1
sum=sum+data.j
if contFlag>longFlag then do
longdate=datestamp
longFlag=contFlag
end
contFlag=0
end
else do /*flagged data ... */
flg=flg+1
contFlag=contFlag+1
end
end
if OKs\==0 then avg=format(sum/OKs,,3)
else avg='[n/a]'
grandOKs=grandOKs+OKs
_=right(comma(avg),w)
grandSum=grandSum+sum
grandFlg=grandFlg+flg
if flg==0 then call sy datestamp ' average='_
else call sy datestamp ' average='_ ' flagged='right(flg,2)
end
recs=recs-1 /*adjust for reading end-of-file.*/ if grandOKs\==0 then Gavg=format(grandsum/grandOKs,,3)
else Gavg='[n/a]'
call sy call sy copies('=',60) call sy ' records read:' right(comma(recs),w) call sy ' grand sum:' right(comma(grandSum),w+4) call sy ' grand average:' right(comma(Gavg),w+4) call sy ' grand OK data:' right(comma(grandOKs),w) call sy ' grand flagged:' right(comma(grandFlg),w) if longFlag\==0 then call sy ' longest flagged:' right(comma(longFlag),w) " ending at " longdate call sy copies('=',60) call sy exit
/*─────────────────────────────────────SY subroutine────────────────────*/
sy: procedure; parse arg stuff
say stuff if 1==0 then call lineout ofid,stuff return
/*─────────────────────────────────────COMMA subroutine─────────────────*/
comma: procedure; parse arg _,c,p,t;arg ,cu;c=word(c ",",1);
if cu=='BLANK' then c=' ';o=word(p 3,1);p=abs(o);t=word(t 999999999,1);
if \datatype(p,'W')|\datatype(t,'W')|p==0|arg()>4 then return _;n=_'.9';
#=123456789;k=0;if o<0 then do;b=verify(_,' ');if b==0 then return _;
e=length(_)-verify(reverse(_),' ')+1;end;else do;b=verify(n,#,"M");
e=verify(n,#'0',,verify(n,#"0.",'M'))-p-1;end;
do j=e to b by -p while k<t;_=insert(c,_,j);k=k+1;end;return _
</lang> Output:
∙
∙
∙
1991-10-16 average= 4.167 flagged= 6
1991-10-17 average= 10.867 flagged= 9
1991-10-18 average= 3.083
∙
∙
∙
============================================================
records read: 5,471
grand sum: 1,358,393.400
grand average: 10.497
grand OK data: 129,403
grand flagged: 1,901
longest flagged: 589 ending at 1993-03-05
============================================================
Ruby
<lang ruby>filename = "readings.txt" total = { "num_readings" => 0, "num_good_readings" => 0, "sum_readings" => 0.0 } invalid_count = 0 max_invalid_count = 0 invalid_run_end = ""
File.new(filename).each do |line|
num_readings = 0 num_good_readings = 0 sum_readings = 0.0
fields = line.split
fields[1..-1].each_slice(2) do |reading, flag|
num_readings += 1
if Integer(flag) > 0
num_good_readings += 1
sum_readings += Float(reading)
invalid_count = 0
else
invalid_count += 1
if invalid_count > max_invalid_count
max_invalid_count = invalid_count
invalid_run_end = fields[0]
end
end
end
printf "Line: %11s Reject: %2d Accept: %2d Line_tot: %10.3f Line_avg: %10.3f\n", fields[0], num_readings - num_good_readings, num_good_readings, sum_readings, num_good_readings > 0 ? sum_readings/num_good_readings : 0.0
total["num_readings"] += num_readings total["num_good_readings"] += num_good_readings total["sum_readings"] += sum_readings
end
puts "" puts "File(s) = #{filename}" printf "Total = %.3f\n", total['sum_readings'] puts "Readings = #{total['num_good_readings']}" printf "Average = %.3f\n", total['sum_readings']/total['num_good_readings'] puts "" puts "Maximum run(s) of #{max_invalid_count} consecutive false readings ends at #{invalid_run_end}"</lang>
Scala
A fully functional solution, minus the fact that it uses iterators: <lang scala>object DataMunging {
import scala.io.Source
def spans[A](list: List[A]) = list.tail.foldLeft(List((list.head, 1))) {
case ((a, n) :: tail, b) if a == b => (a, n + 1) :: tail
case (l, b) => (b, 1) :: l
}
type Flag = ((Boolean, Int), String)
type Flags = List[Flag]
type LineIterator = Iterator[Option[(Double, Int, Flags)]]
val pattern = """^(\d+-\d+-\d+)""" + """\s+(\d+\.\d+)\s+(-?\d+)""" * 24 + "$" r;
def linesIterator(file: java.io.File) = Source.fromFile(file).getLines().map(
pattern findFirstMatchIn _ map (
_.subgroups match {
case List(date, rawData @ _*) =>
val dataset = (rawData map (_ toDouble) iterator) grouped 2 toList;
val valid = dataset filter (_.last > 0) map (_.head)
val validSize = valid length;
val validSum = valid sum;
val flags = spans(dataset map (_.last > 0)) map ((_, date))
println("Line: %11s Reject: %2d Accept: %2d Line_tot: %10.3f Line_avg: %10.3f" format
(date, 24 - validSize, validSize, validSum, validSum / validSize))
(validSum, validSize, flags)
}
)
)
def totalizeLines(fileIterator: LineIterator) =
fileIterator.foldLeft(0.0, 0, List[Flag]()) {
case ((totalSum, totalSize, ((flag, size), date) :: tail), Some((validSum, validSize, flags))) =>
val ((firstFlag, firstSize), _) = flags.last
if (firstFlag == flag) {
(totalSum + validSum, totalSize + validSize, flags.init ::: ((flag, size + firstSize), date) :: tail)
} else {
(totalSum + validSum, totalSize + validSize, flags ::: ((flag, size), date) :: tail)
}
case ((_, _, Nil), Some(partials)) => partials
case (totals, None) => totals
}
def main(args: Array[String]) {
val files = args map (new java.io.File(_)) filter (file => file.isFile && file.canRead)
val lines = files.iterator flatMap linesIterator
val (totalSum, totalSize, flags) = totalizeLines(lines)
val ((_, invalidCount), startDate) = flags.filter(!_._1._1).max
val report = """|
|File(s) = %s
|Total = %10.3f
|Readings = %6d
|Average = %10.3f
|
|Maximum run(s) of %d consecutive false readings began at %s""".stripMargin
println(report format (files mkString " ", totalSum, totalSize, totalSum / totalSize, invalidCount, startDate))
}
}</lang>
A quick&dirty solution: <lang scala>object AltDataMunging {
def main(args: Array[String]) {
var totalSum = 0.0
var totalSize = 0
var maxInvalidDate = ""
var maxInvalidCount = 0
var invalidDate = ""
var invalidCount = 0
val files = args map (new java.io.File(_)) filter (file => file.isFile && file.canRead)
files.iterator flatMap (file => Source fromFile file getLines ()) map (_.trim split "\\s+") foreach {
case Array(date, rawData @ _*) =>
val dataset = (rawData map (_ toDouble) iterator) grouped 2 toList;
val valid = dataset filter (_.last > 0) map (_.head)
val flags = spans(dataset map (_.last > 0)) map ((_, date))
println("Line: %11s Reject: %2d Accept: %2d Line_tot: %10.3f Line_avg: %10.3f" format
(date, 24 - valid.size, valid.size, valid.sum, valid.sum / valid.size))
totalSum += valid.sum
totalSize += valid.size
dataset foreach {
case _ :: flag :: Nil if flag > 0 =>
if (invalidCount > maxInvalidCount) {
maxInvalidDate = invalidDate
maxInvalidCount = invalidCount
}
invalidCount = 0
case _ =>
if (invalidCount == 0) invalidDate = date
invalidCount += 1
}
}
val report = """|
|File(s) = %s
|Total = %10.3f
|Readings = %6d
|Average = %10.3f
|
|Maximum run(s) of %d consecutive false readings began at %s""".stripMargin
println(report format (files mkString " ", totalSum, totalSize, totalSum / totalSize, maxInvalidCount, maxInvalidDate))
}
}</lang>
Last few lines of the sample output (either version):
Line: 2004-12-29 Reject: 1 Accept: 23 Line_tot: 56.300 Line_avg: 2.448 Line: 2004-12-30 Reject: 1 Accept: 23 Line_tot: 65.300 Line_avg: 2.839 Line: 2004-12-31 Reject: 1 Accept: 23 Line_tot: 47.300 Line_avg: 2.057 File(s) = readings.txt Total = 1358393.400 Readings = 129403 Average = 10.497 Maximum run(s) of 589 consecutive false readings began at 1993-02-09
Though it is easier to show when the consecutive false readings ends, if longest run is the last thing in the file, it hasn't really "ended".
Tcl
<lang tcl>set max_invalid_run 0 set max_invalid_run_end "" set tot_file 0 set num_file 0
set linefmt "Line: %11s Reject: %2d Accept: %2d Line_tot: %10.3f Line_avg: %10.3f"
set filename readings.txt set fh [open $filename] while {[gets $fh line] != -1} {
set tot_line [set count [set num_line 0]]
set fields [regexp -all -inline {\S+} $line]
set date [lindex $fields 0]
foreach {val flag} [lrange $fields 1 end] {
incr count
if {$flag > 0} {
incr num_line
incr num_file
set tot_line [expr {$tot_line + $val}]
set invalid_run_count 0
} else {
incr invalid_run_count
if {$invalid_run_count > $max_invalid_run} {
set max_invalid_run $invalid_run_count
set max_invalid_run_end $date
}
}
}
set tot_file [expr {$tot_file + $tot_line}]
puts [format $linefmt $date [expr {$count - $num_line}] $num_line $tot_line \
[expr {$num_line > 0 ? $tot_line / $num_line : 0}]]
} close $fh
puts "" puts "File(s) = $filename" puts "Total = [format %.3f $tot_file]" puts "Readings = $num_file" puts "Average = [format %.3f [expr {$tot_file / $num_file}]]" puts "" puts "Maximum run(s) of $max_invalid_run consecutive false readings ends at $max_invalid_run_end"</lang>
Ursala
The input file is transformed to a list of assignments of character strings to lists of pairs of floats
and booleans (type %ebXLm) in the parsed data. The same function is used to compute the daily and the
cumulative statistics.
<lang Ursala>#import std
- import nat
- import flo
parsed_data = ^|A(~&,* ^|/%ep@iNC ~&h==`1)*htK27K28pPCS (sep 9%cOi&)*FyS readings_dot_txt
daily_stats =
- ^|A(~&,@rFlS ^/length ^/plus:-0. ||0.! ~&i&& mean); mat` + <.
~&n, 'accept: '--+ @ml printf/'%7.0f'+ float, 'total: '--+ @mrl printf/'%10.1f', 'average: '--+ @mrr printf/'%7.3f'>
long_run =
-+
~&i&& ^|TNC('maximum of '--@h+ %nP,' consecutive false readings ending on line '--),
@nmrSPDSL -&~&,leql$^; ^/length ~&zn&-@hrZPF+ rlc both ~&rZ+-
main = ^T(daily_stats^lrNCT/~& @mSL 'summary ':,long_run) parsed_data</lang>
last few lines of output:
2004-12-29 accept: 23 total: 56.3 average: 2.448 2004-12-30 accept: 23 total: 65.3 average: 2.839 2004-12-31 accept: 23 total: 47.3 average: 2.057 summary accept: 129403 total: 1358393.4 average: 10.497 maximum of 589 consecutive false readings ending on line 1993-03-05
Vedit macro language
Vedit does not have floating point data type, so fixed point calculations are used here.
<lang vedit>#50 = Buf_Num // Current edit buffer (source data) File_Open("output.txt")
- 51 = Buf_Num // Edit buffer for output file
Buf_Switch(#50)
- 10 = 0 // total sum of file data
- 11 = 0 // number of valid data items in file
- 12 = 0 // Current run of consecutive flags<0 in lines of file
- 13 = -1 // Max consecutive flags<0 in lines of file
Reg_Empty(15) // ... and date tag(s) at line(s) where it occurs
While(!At_EOF) {
#20 = 0 // sum of line data
#21 = 0 // number of line data items with flag>0
#22 = 0 // number of line data items with flag<0
Reg_Copy_Block(14, Cur_Pos, Cur_Pos+10) // date field
// extract field info, skipping initial date field
Repeat(ALL) {
Search("|{|T,|N}", ADVANCE+ERRBREAK) // next Tab or Newline if (Match_Item==2) { Break } // end of line #30 = Num_Eval(ADVANCE) * 1000 // #30 = value Char // fixed point, 3 decimal digits #30 += Num_Eval(ADVANCE+SUPPRESS) #31 = Num_Eval(ADVANCE) // #31 = flag if (#31 < 1) { // not valid field? #12++ #22++ } else { // valid field // check run of data-absent fields if(#13 == #12 && #12 > 0) { Reg_Set(15, ", ", APPEND) Reg_Set(15, @14, APPEND) } if(#13 < #12 && #12 > 0) { #13 = #12 Reg_Set(15, @14) }
// re-initialise run of nodata counter #12 = 0 // gather values for averaging #20 += #30 #21++ }
}
// totals for the file so far
#10 += #20
#11 += #21
Buf_Switch(#51) // buffer for output data
IT("Line: ") Reg_Ins(14)
IT(" Reject:") Num_Ins(#22, COUNT, 3)
IT(" Accept:") Num_Ins(#21, COUNT, 3)
IT(" Line tot:") Num_Ins(#20, COUNT, 8) Char(-3) IC('.') EOL
IT(" Line avg:") Num_Ins((#20+#21/2)/#21, COUNT, 7) Char(-3) IC('.') EOL IN
Buf_Switch(#50) // buffer for input data
}
Buf_Switch(#51) // buffer for output data IN IT("Total: ") Num_Ins(#10, FORCE+NOCR) Char(-3) IC('.') EOL IN IT("Readings: ") Num_Ins(#11, FORCE) IT("Average: ") Num_Ins((#10+#11/2)/#11, FORCE+NOCR) Char(-3) IC('.') EOL IN IN IT("Maximum run(s) of ") Num_Ins(#13, LEFT+NOCR) IT(" consecutive false readings ends at line starting with date(s): ") Reg_Ins(15) IN</lang>
Sample output:
Line: 2004-12-28 Reject: 1 Accept: 23 Line tot: 77.800 Line avg: 3.383 Line: 2004-12-29 Reject: 1 Accept: 23 Line tot: 56.300 Line avg: 2.448 Line: 2004-12-30 Reject: 1 Accept: 23 Line tot: 65.300 Line avg: 2.839 Line: 2004-12-31 Reject: 1 Accept: 23 Line tot: 47.300 Line avg: 2.057 Total: 1358393.400 Readings: 129403 Average: 10.497 Maximum run(s) of 589 consecutive false readings ends at line starting with date(s): 1993-03-05
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