all tasks

This commit is contained in:
Ingy döt Net 2013-04-11 01:07:29 -07:00
parent b83f433714
commit 68f8f3e56b
14735 changed files with 178959 additions and 0 deletions

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The following data shows a few lines from the file readings.txt (as used in the [[Data Munging]] task).
The data comes from a pollution monitoring station with twenty four instruments monitoring twenty four aspects of pollution in the air. Periodically a record is added to the file constituting a line of 49 white-space separated fields, where white-space can be one or more space or tab characters.
The fields (from the left) are:
DATESTAMP [ VALUEn FLAGn ] * 24
i.e. a datestamp followed by twenty four repetitions of a floating point instrument value and that instruments associated integer flag. Flag values are >= 1 if the instrument is working and < 1 if there is some problem with that instrument, in which case that instrument's value should be ignored.
A sample from the full data file [http://rosettacode.org/resources/readings.zip readings.txt] is:
<pre style="height:17ex;overflow:scroll">
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
</pre>
The task:
# Confirm the general field format of the file
# Identify any DATESTAMPs that are duplicated.
# What number of records have good readings for all instruments.

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---
note: Text processing

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bash$ awk '/[eE]/' readings.txt
bash$

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bash$ awk 'NF != 49' readings.txt
bash$

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bash$ awk '!(/^[0-9][0-9][0-9][0-9]-[0-9][0-9]-[0-9][0-9]([ \t]+[-]?[0-9]+\.[0-9]+[\t ]+[-]?[0-9]+)+$/ && NF==49)' readings.txt
bash$

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bash$ awk --re-interval '!(/^[0-9]{4}-[0-9]{2}-[0-9]{2}([ \t]+[-]?[0-9]+\.[0-9]+[\t ]+[-]?[0-9]+){24}+$/ )' readings.txt
bash$

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bash$ awk '++count[$1]==2{print $1}' readings.txt
1990-03-25
1991-03-31
1992-03-29
1993-03-28
1995-03-26
bash$

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bash$ awk '{rec++;ok=1; for(i=0;i<24;i++){if($(2*i+3)<1){ok=0}}; recordok += ok} END {print "Total records",rec,"OK records", recordok, "or", recordok/rec*100,"%"}' readings.txt
Total records 5471 OK records 5017 or 91.7017 %
bash$

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with Ada.Calendar; use Ada.Calendar;
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;
with Generic_Map;
procedure Data_Munging_2 is
package Time_To_Line is new Generic_Map (Time, Natural);
use Time_To_Line;
File : File_Type;
Line_No : Natural := 0;
Count : Natural := 0;
Stamps : Map;
begin
Open (File, In_File, "readings.txt");
loop
declare
Line : constant String := Get_Line (File);
Pointer : Integer := Line'First;
Flag : Integer;
Year, Month, Day : Integer;
Data : Float;
Stamp : Time;
Valid : Boolean := True;
begin
Line_No := Line_No + 1;
Get (Line, Pointer, SpaceAndTab);
Get (Line, Pointer, Year);
Get (Line, Pointer, Month);
Get (Line, Pointer, Day);
Stamp := Time_Of (Year_Number (Year), Month_Number (-Month), Day_Number (-Day));
begin
Add (Stamps, Stamp, Line_No);
exception
when Constraint_Error =>
Put (Image (Year) & Image (Month) & Image (Day) & ": record at " & Image (Line_No));
Put_Line (" duplicates record at " & Image (Get (Stamps, Stamp)));
end;
Get (Line, Pointer, SpaceAndTab);
for Reading in 1..24 loop
Get (Line, Pointer, Data);
Get (Line, Pointer, SpaceAndTab);
Get (Line, Pointer, Flag);
Get (Line, Pointer, SpaceAndTab);
Valid := Valid and then Flag >= 1;
end loop;
if Pointer <= Line'Last then
Put_Line ("Unrecognized tail at " & Image (Line_No) & ':' & Image (Pointer));
elsif Valid then
Count := Count + 1;
end if;
exception
when End_Error | Data_Error | Constraint_Error | Time_Error =>
Put_Line ("Syntax error at " & Image (Line_No) & ':' & Image (Pointer));
end;
end loop;
exception
when End_Error =>
Close (File);
Put_Line ("Valid records " & Image (Count) & " of " & Image (Line_No) & " total");
end Data_Munging_2;

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; Author: AlephX Aug 17 2011
data = %A_scriptdir%\readings.txt
Loop, Read, %data%
{
Lines := A_Index
StringReplace, dummy, A_LoopReadLine, %A_Tab%,, All UseErrorLevel
Loop, parse, A_LoopReadLine, %A_Tab%
{
wrong := 0
if A_index = 1
{
Date := A_LoopField
if (Date == OldDate)
{
WrongDates = %WrongDates%%OldDate% at %Lines%`n
TotwrongDates++
Wrong := 1
break
}
}
else
{
if (A_loopfield/1 < 0)
{
Wrong := 1
break
}
}
}
if (wrong == 1)
totwrong++
else
valid++
if (errorlevel <> 48)
{
if (wrong == 0)
{
totwrong++
valid--
}
unvalidformat++
}
olddate := date
}
msgbox, Duplicate Dates:`n%wrongDates%`nRead Lines: %lines%`nValid Lines: %valid%`nwrong lines: %totwrong%`nDuplicates: %TotWrongDates%`nWrong Formatted: %unvalidformat%`n

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#include <boost/regex.hpp>
#include <fstream>
#include <iostream>
#include <vector>
#include <string>
#include <set>
#include <cstdlib>
#include <algorithm>
using namespace std ;
boost::regex e ( "\\s+" ) ;
int main( int argc , char *argv[ ] ) {
ifstream infile( argv[ 1 ] ) ;
vector<string> duplicates ;
set<string> datestamps ; //for the datestamps
if ( ! infile.is_open( ) ) {
cerr << "Can't open file " << argv[ 1 ] << '\n' ;
return 1 ;
}
int all_ok = 0 ;//all_ok for lines in the given pattern e
int pattern_ok = 0 ; //overall field pattern of record is ok
while ( infile ) {
string eingabe ;
getline( infile , eingabe ) ;
boost::sregex_token_iterator i ( eingabe.begin( ), eingabe.end( ) , e , -1 ), j ;//we tokenize on empty fields
vector<string> fields( i, j ) ;
if ( fields.size( ) == 49 ) //we expect 49 fields in a record
pattern_ok++ ;
else
cout << "Format not ok!\n" ;
if ( datestamps.insert( fields[ 0 ] ).second ) { //not duplicated
int howoften = ( fields.size( ) - 1 ) / 2 ;//number of measurement
//devices and values
for ( int n = 1 ; atoi( fields[ 2 * n ].c_str( ) ) >= 1 ; n++ ) {
if ( n == howoften ) {
all_ok++ ;
break ;
}
}
}
else {
duplicates.push_back( fields[ 0 ] ) ;//first field holds datestamp
}
}
infile.close( ) ;
cout << "The following " << duplicates.size() << " datestamps were duplicated:\n" ;
copy( duplicates.begin( ) , duplicates.end( ) ,
ostream_iterator<string>( cout , "\n" ) ) ;
cout << all_ok << " records were complete and ok!\n" ;
return 0 ;
}

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#include <stdio.h>
#include <string.h>
#include <stdlib.h>
#include <unistd.h>
#include <sys/types.h>
#include <sys/stat.h>
#include <fcntl.h>
typedef struct { const char *s; int ln, bad; } rec_t;
int cmp_rec(const void *aa, const void *bb)
{
const rec_t *a = aa, *b = bb;
return a->s == b->s ? 0 : !a->s ? 1 : !b->s ? -1 : strncmp(a->s, b->s, 10);
}
int read_file(const char *fn)
{
int fd = open(fn, O_RDONLY);
if (fd == -1) return 0;
struct stat s;
fstat(fd, &s);
char *txt = malloc(s.st_size);
read(fd, txt, s.st_size);
close(fd);
int i, j, lines = 0, k, di, bad;
for (i = lines = 0; i < s.st_size; i++)
if (txt[i] == '\n') {
txt[i] = '\0';
lines++;
}
rec_t *rec = calloc(sizeof(rec_t), lines);
const char *ptr, *end;
rec[0].s = txt;
rec[0].ln = 1;
for (i = 0; i < lines; i++) {
if (i + 1 < lines) {
rec[i + 1].s = rec[i].s + strlen(rec[i].s) + 1;
rec[i + 1].ln = i + 2;
}
if (sscanf(rec[i].s, "%4d-%2d-%2d", &di, &di, &di) != 3) {
printf("bad line %d: %s\n", i, rec[i].s);
rec[i].s = 0;
continue;
}
ptr = rec[i].s + 10;
for (j = k = 0; j < 25; j++) {
if (!strtod(ptr, (char**)&end) && end == ptr) break;
k++, ptr = end;
if (!(di = strtol(ptr, (char**)&end, 10)) && end == ptr) break;
k++, ptr = end;
if (di < 1) rec[i].bad = 1;
}
if (k != 48) {
printf("bad format at line %d: %s\n", i, rec[i].s);
rec[i].s = 0;
}
}
qsort(rec, lines, sizeof(rec_t), cmp_rec);
for (i = 1, bad = rec[0].bad, j = 0; i < lines && rec[i].s; i++) {
if (rec[i].bad) bad++;
if (strncmp(rec[i].s, rec[j].s, 10)) {
j = i;
} else
printf("dup line %d: %.10s\n", rec[i].ln, rec[i].s);
}
free(rec);
free(txt);
printf("\n%d out %d lines good\n", lines - bad, lines);
return 0;
}
int main()
{
read_file("readings.txt");
return 0;
}

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dup line 85: 1990-03-25
dup line 456: 1991-03-31
dup line 820: 1992-03-29
dup line 1184: 1993-03-28
dup line 1911: 1995-03-26
5017 out 5471 lines good

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import std.stdio, std.array, std.string, std.regex, std.conv,
std.algorithm;
void main() {
// works but eats lot of RAM in DMD 2.059
//const rxDate = ctRegex!(`^\d\d\d\d-\d\d-\d\d$`);
auto rxDate = regex(`^\d\d\d\d-\d\d-\d\d$`);
int[string] repeatedDates;
int goodReadings;
foreach (string line; lines(File("readings.txt"))) {
try {
auto parts = line.split();
if (parts.length != 49)
throw new Exception("Wrong column count");
if (match(parts[0], rxDate).empty)
throw new Exception("Date is wrong");
repeatedDates[parts[0]]++;
bool noProblem = true;
for (int i = 1; i < 48; i += 2) {
if (to!int(parts[i + 1]) < 1)
// don't break loop because it's validation too.
noProblem = false;
if (!isNumeric(parts[i]))
throw new Exception("Reading is wrong: "~parts[i]);
}
if (noProblem)
goodReadings++;
} catch(Exception ex) {
writefln(`Problem in line "%s": %s`, line, ex);
}
}
writeln("Duplicated timestamps: ",
repeatedDates.keys.filter!(k => repeatedDates[k] > 1)().
join(", "));
writeln("Good reading records: ", goodReadings);
}

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package main
import (
"bufio"
"fmt"
"io"
"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 allGood, uniqueGood int
// map records not only dates seen, but also if an all-good record was
// seen for the key date.
m := make(map[string]bool)
for lr := bufio.NewReader(f); ; {
line, pref, err := lr.ReadLine()
if err == io.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
}
good := true
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
_, err := strconv.ParseFloat(f[i], 64)
if err != nil {
fmt.Println(err)
return
}
} else { // value is bad
good = false
}
}
if good {
allGood++
}
previouslyGood, seen := m[f[0]]
if seen {
fmt.Println("Duplicate datestamp:", f[0])
if !previouslyGood && good {
m[string([]byte(f[0]))] = true
uniqueGood++
}
} else {
m[string([]byte(f[0]))] = good
if good {
uniqueGood++
}
}
}
fmt.Println("\nData format valid.")
fmt.Println(allGood, "records with good readings for all instruments.")
fmt.Println(uniqueGood,
"unique dates with good readings for all instruments.")
}

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import Data.List (nub, (\\))
data Record = Record {date :: String, recs :: [(Double, Int)]}
duplicatedDates rs = rs \\ nub rs
goodRecords = filter ((== 24) . length . filter ((>= 1) . snd) . recs)
parseLine l = let ws = words l in Record (head ws) (mapRecords (tail ws))
mapRecords [] = []
mapRecords [_] = error "invalid data"
mapRecords (value:flag:tail) = (read value, read flag) : mapRecords tail
main = do
inputs <- (map parseLine . lines) `fmap` readFile "readings.txt"
putStr (unlines ("duplicated dates:": duplicatedDates (map date inputs)))
putStrLn ("number of good records: " ++ show (length $ goodRecords inputs))

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require 'tables/dsv dates'
dat=: TAB readdsv jpath '~temp/readings.txt'
Dates=: getdate"1 >{."1 dat
Vals=: _99 ". >(1 + +: i.24){"1 dat
Flags=: _99 ". >(2 + +: i.24){"1 dat
# Dates NB. Total # lines
5471
+/ *./"1 ] 0 = Dates NB. # lines with invalid date formats
0
+/ _99 e."1 Vals,.Flags NB. # lines with invalid value or flag formats
0
+/ *./"1 [0 < Flags NB. # lines with only valid flags
5017
~. (#~ (i.~ ~: i:~)) Dates NB. Duplicate dates
1990 3 25
1991 3 31
1992 3 29
1993 3 28
1995 3 26

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import java.util.*;
import java.util.regex.*;
import java.io.*;
public class DataMunging2 {
public static final Pattern e = Pattern.compile("\\s+");
public static void main(String[] args) {
try {
BufferedReader infile = new BufferedReader(new FileReader(args[0]));
List<String> duplicates = new ArrayList<String>();
Set<String> datestamps = new HashSet<String>(); //for the datestamps
String eingabe;
int all_ok = 0;//all_ok for lines in the given pattern e
while ((eingabe = infile.readLine()) != null) {
String[] fields = e.split(eingabe); //we tokenize on empty fields
if (fields.length != 49) //we expect 49 fields in a record
System.out.println("Format not ok!");
if (datestamps.add(fields[0])) { //not duplicated
int howoften = (fields.length - 1) / 2 ; //number of measurement
//devices and values
for (int n = 1; Integer.parseInt(fields[2*n]) >= 1; n++) {
if (n == howoften) {
all_ok++ ;
break ;
}
}
} else {
duplicates.add(fields[0]); //first field holds datestamp
}
}
infile.close();
System.out.println("The following " + duplicates.size() + " datestamps were duplicated:");
for (String x : duplicates)
System.out.println(x);
System.out.println(all_ok + " records were complete and ok!");
} catch (IOException e) {
System.err.println("Can't open file " + args[0]);
System.exit(1);
}
}
}

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// wrap up the counter variables in a closure.
function analyze_func(filename) {
var dates_seen = {};
var format_bad = 0;
var records_all = 0;
var records_good = 0;
return function() {
var fh = new ActiveXObject("Scripting.FileSystemObject").openTextFile(filename, 1); // 1 = for reading
while ( ! fh.atEndOfStream) {
records_all ++;
var allOK = true;
var line = fh.ReadLine();
var fields = line.split('\t');
if (fields.length != 49) {
format_bad ++;
continue;
}
var date = fields.shift();
if (has_property(dates_seen, date))
WScript.echo("duplicate date: " + date);
else
dates_seen[date] = 1;
while (fields.length > 0) {
var value = parseFloat(fields.shift());
var flag = parseInt(fields.shift(), 10);
if (isNaN(value) || isNaN(flag)) {
format_bad ++;
}
else if (flag <= 0) {
allOK = false;
}
}
if (allOK)
records_good ++;
}
fh.close();
WScript.echo("total records: " + records_all);
WScript.echo("Wrong format: " + format_bad);
WScript.echo("records with no bad readings: " + records_good);
}
}
function has_property(obj, propname) {
return typeof(obj[propname]) == "undefined" ? false : true;
}
var analyze = analyze_func('readings.txt');
analyze();

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filename = "readings.txt"
io.input( filename )
dates = {}
duplicated, bad_format = {}, {}
num_good_records, lines_total = 0, 0
while true do
line = io.read( "*line" )
if line == nil then break end
lines_total = lines_total + 1
date = string.match( line, "%d+%-%d+%-%d+" )
if dates[date] ~= nil then
duplicated[#duplicated+1] = date
end
dates[date] = 1
count_pairs, bad_values = 0, false
for v, w in string.gmatch( line, "%s(%d+[%.%d+]*)%s(%-?%d)" ) do
count_pairs = count_pairs + 1
if tonumber(w) <= 0 then
bad_values = true
end
end
if count_pairs ~= 24 then
bad_format[#bad_format+1] = date
end
if not bad_values then
num_good_records = num_good_records + 1
end
end
print( "Lines read:", lines_total )
print( "Valid records: ", num_good_records )
print( "Duplicate dates:" )
for i = 1, #duplicated do
print( " ", duplicated[i] )
end
print( "Bad format:" )
for i = 1, #bad_format do
print( " ", bad_format[i] )
end

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function [val,count] = readdat(configfile)
% READDAT reads readings.txt file
%
% The value of boolean parameters can be tested with
% exist(parameter,'var')
if nargin<1,
filename = 'readings.txt';
end;
fid = fopen(filename);
if fid<0, error('cannot open file %s\n',a); end;
[val,count] = fscanf(fid,'%04d-%02d-%02d %f %d %f %d %f %d %f %d %f %d %f %d %f %d %f %d %f %d %f %d %f %d %f %d %f %d %f %d %f %d %f %d %f %d %f %d %f %d %f %d %f %d %f %d %f %d %f %d \n');
fclose(fid);
count = count/51;
if (count<1) || count~=floor(count),
error('file has incorrect format\n')
end;
val = reshape(val,51,count)'; % make matrix with 51 rows and count columns, then transpose it.
d = datenum(val(:,1:3)); % compute timestamps
printf('The following records are followed by a duplicate:');
dix = find(diff(d)==0) % check for to consequtive timestamps with zero difference
printf('number of valid records: %i\n ', sum( all( val(:,5:2:end) >= 1, 2) ) );

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data = Import["Readings.txt","TSV"]; Print["duplicated dates: "];
Select[Tally@data[[;;,1]], #[[2]]>1&][[;;,1]]//Column
Print["number of good records: ", Count[(Times@@#[[3;;All;;2]])& /@ data, 1],
" (out of a total of ", Length[data], ")"]

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#load "str.cma"
open Str
let strip_cr str =
let last = pred(String.length str) in
if str.[last] <> '\r' then (str) else (String.sub str 0 last)
let map_records =
let rec aux acc = function
| value::flag::tail ->
let e = (float_of_string value, int_of_string flag) in
aux (e::acc) tail
| [_] -> invalid_arg "invalid data"
| [] -> (List.rev acc)
in
aux [] ;;
let duplicated_dates =
let same_date (d1,_) (d2,_) = (d1 = d2) in
let date (d,_) = d in
let rec aux acc = function
| a::b::tl when same_date a b ->
aux (date a::acc) tl
| _::tl ->
aux acc tl
| [] ->
(List.rev acc)
in
aux [] ;;
let record_ok (_,record) =
let is_ok (_,v) = (v >= 1) in
let sum_ok =
List.fold_left (fun sum this ->
if is_ok this then succ sum else sum) 0 record
in
(sum_ok = 24)
let num_good_records =
List.fold_left (fun sum record ->
if record_ok record then succ sum else sum) 0 ;;
let parse_line line =
let li = split (regexp "[ \t]+") line in
let records = map_records (List.tl li)
and date = (List.hd li) in
(date, records)
let () =
let ic = open_in "readings.txt" in
let rec read_loop acc =
try
let line = strip_cr(input_line ic) in
read_loop ((parse_line line) :: acc)
with End_of_file ->
close_in ic;
(List.rev acc)
in
let inputs = read_loop [] in
Printf.printf "%d total lines\n" (List.length inputs);
Printf.printf "duplicated dates:\n";
let dups = duplicated_dates inputs in
List.iter print_endline dups;
Printf.printf "number of good records: %d\n" (num_good_records inputs);
;;

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$handle = fopen("readings.txt", "rb");
$missformcount = 0;
$totalcount = 0;
$dates = array();
while (!feof($handle)) {
$buffer = fgets($handle);
$line = preg_replace('/\s+/',' ',$buffer);
$line = explode(' ',trim($line));
$datepattern = '/^\d{4}-\d{2}-\d{2}$/';
$valpattern = '/^\d+\.{1}\d{3}$/';
$flagpattern = '/^[1-9]{1}$/';
if(count($line) != 49) $missformcount++;
if(!preg_match($datepattern,$line[0],$check)) $missformcount++;
else $dates[$totalcount+1] = $check[0];
$errcount = 0;
for($i=1;$i<count($line);$i++){
if($i%2!=0){
if(!preg_match($valpattern,$line[$i],$check)) $errcount++;
}else{
if(!preg_match($flagpattern,$line[$i],$check)) $errcount++;
}
}
if($errcount != 0) $missformcount++;
$totalcount++;
}
fclose ($handle);
$good = $totalcount - $missformcount;
$duplicates = array_diff_key( $dates , array_unique( $dates ));
echo 'Valid records ' . $good . ' of ' . $totalcount . ' total<br>';
echo 'Duplicates : <br>';
foreach ($duplicates as $key => $val){
echo $val . ' at Line : ' . $key . '<br>';
}

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/* To process readings produced by automatic reading stations. */
check: procedure options (main);
declare 1 date, 2 (yy, mm, dd) character (2),
(j1, j2) character (1);
declare old_date character (6);
declare line character (330) varying;
declare R(24) fixed decimal, Machine(24) fixed binary;
declare (i, k, n, faulty static initial (0)) fixed binary;
declare input file;
open file (input) title ('/READINGS.TXT,TYPE(CRLF),RECSIZE(300)');
on endfile (input) go to done;
old_date = '';
k = 0;
do forever;
k = k + 1;
get file (input) edit (line) (L);
get string(line) edit (yy, j1, mm, j2, dd) (a(4), a(1), a(2), a(1), a(2));
line = substr(line, 11);
do i = 1 to length(line);
if substr(line, i, 1) = '09'x then substr(line, i, 1) = ' ';
end;
line = trim(line);
n = tally(line, ' ') - tally (line, ' ') + 1;
if n ^= 48 then
do;
put skip list ('There are ' || n || ' readings in line ' || k);
end;
n = n/2;
line = line || ' ';
get string(line) list ((R(i), Machine(i) do i = 1 to n));
if any(Machine < 1) ^= '0'B then
faulty = faulty + 1;
if old_date ^= ' ' then if old_date = string(date) then
put skip list ('Dates are the same at line' || k);
old_date = string(date);
end;
done:
put skip list ('There were ' || k || ' sets of readings');
put skip list ('There were ' || faulty || ' faulty readings' );
put skip list ('There were ' || k-faulty || ' good readings' );
end check;

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my $fields = 49;
my ($good-records, %dates) = 0;
for 1 .. * Z $*IN.lines -> $line, $s {
my @fs = split /\s+/, $s;
@fs == $fields or die "$line: Bad number of fields";
given shift @fs {
m/\d**4 \- \d**2 \- \d**2/ or die "$line: Bad date format";
++%dates{$_};
}
my $all-flags-okay = True;
for @fs -> $val, $flag {
$val ~~ /\d+ \. \d+/ or die "$line: Bad value format";
$flag ~~ /^ \-? \d+/ or die "$line: Bad flag format";
$flag < 1 and $all-flags-okay = False;
}
$all-flags-okay and ++$good-records;
}
say 'Good records: ', $good-records;
say 'Repeated timestamps:';
say ' ', $_ for grep { %dates{$_} > 1 }, sort keys %dates;

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@ -0,0 +1,19 @@
my $good-records;
my $line;
my %dates;
for lines() {
$line++;
/ ^
(\d ** 4 '-' \d\d '-' \d\d)
[ \h+ \d+'.'\d+ \h+ ('-'?\d+) ] ** 24
$ /
or note "Bad format at line $line" and next;
%dates.push: $0 => $line;
$good-records++ if $1.all >= 1;
}
say "$good-records good records out of $line total";
say 'Repeated timestamps (with line numbers):';
.say for sort %dates.pairs.grep: *.value.elems > 1;

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use List::MoreUtils 'natatime';
use constant FIELDS => 49;
binmode STDIN, ':crlf';
# Read the newlines properly even if we're not running on
# Windows.
my ($line, $good_records, %dates) = (0, 0);
while (<>)
{++$line;
my @fs = split /\s+/;
@fs == FIELDS or die "$line: Bad number of fields.\n";
for (shift @fs)
{/\d{4}-\d{2}-\d{2}/ or die "$line: Bad date format.\n";
++$dates{$_};}
my $iterator = natatime 2, @fs;
my $all_flags_okay = 1;
while ( my ($val, $flag) = $iterator->() )
{$val =~ /\d+\.\d+/ or die "$line: Bad value format.\n";
$flag =~ /\A-?\d+/ or die "$line: Bad flag format.\n";
$flag < 1 and $all_flags_okay = 0;}
$all_flags_okay and ++$good_records;}
print "Good records: $good_records\n",
"Repeated timestamps:\n",
map {" $_\n"}
grep {$dates{$_} > 1}
sort keys %dates;

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@ -0,0 +1,24 @@
#!/usr/bin/picolisp /usr/lib/picolisp/lib.l
(load "@lib/misc.l")
(in (opt)
(until (eof)
(let Lst (split (line) "^I")
(unless
(and
(= 49 (length Lst)) # Check total length
($dat (car Lst) "-") # Check for valid date
(not
(find # Check data format
'((L F)
(not
(if F # Alternating:
(format L 3) # Number
(>= 9 (format L) -9) ) ) ) # or flag
(cdr Lst)
'(T NIL .) ) ) )
(prinl "Bad line format: " (glue " " Lst))
(bye 1) ) ) ) )
(bye)

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@ -0,0 +1,23 @@
$dateHash = @{}
$goodLineCount = 0
get-content c:\temp\readings.txt |
ForEach-Object {
$line = $_.split(" |`t",2)
if ($dateHash.containskey($line[0])) {
$line[0] + " is duplicated"
} else {
$dateHash.add($line[0], $line[1])
}
$readings = $line[1].split()
$goodLine = $true
if ($readings.count -ne 48) { $goodLine = $false; "incorrect line length : $line[0]" }
for ($i=0; $i -lt $readings.count; $i++) {
if ($i % 2 -ne 0) {
if ([int]$readings[$i] -lt 1) {
$goodLine = $false
}
}
}
if ($goodLine) { $goodLineCount++ }
}
[string]$goodLineCount + " good lines"

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@ -0,0 +1,20 @@
$dateHash = @{}
$goodLineCount = 0
ForEach ($rawLine in ( get-content c:\temp\readings.txt) ){
$line = $rawLine.split(" |`t",2)
if ($dateHash.containskey($line[0])) {
$line[0] + " is duplicated"
} else {
$dateHash.add($line[0], $line[1])
}
$readings = [regex]::matches($line[1],"\d+\.\d+\s-?\d")
if ($readings.count -ne 24) { "incorrect number of readings for date " + $line[0] }
$goodLine = $true
foreach ($flagMatch in [regex]::matches($line[1],"\d\.\d*\s(?<flag>-?\d)")) {
if ([int][string]$flagMatch.groups["flag"].value -lt 1) {
$goodLine = $false
}
}
if ($goodLine) { $goodLineCount++}
}
[string]$goodLineCount + " good lines"

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@ -0,0 +1,72 @@
Define filename.s = "readings.txt"
#instrumentCount = 24
Enumeration
#exp_date
#exp_instruments
#exp_instrumentStatus
EndEnumeration
Structure duplicate
date.s
firstLine.i
line.i
EndStructure
NewMap dates() ;records line date occurs first
NewList duplicated.duplicate()
NewList syntaxError()
Define goodRecordCount, totalLines, line.s, i
Dim inputDate.s(0)
Dim instruments.s(0)
If ReadFile(0, filename)
CreateRegularExpression(#exp_date, "\d+-\d+-\d+")
CreateRegularExpression(#exp_instruments, "(\t|\x20)+(\d+\.\d+)(\t|\x20)+\-?\d")
CreateRegularExpression(#exp_instrumentStatus, "(\t|\x20)+(\d+\.\d+)(\t|\x20)+")
Repeat
line = ReadString(0, #PB_Ascii)
If line = "": Break: EndIf
totalLines + 1
ExtractRegularExpression(#exp_date, line, inputDate())
If FindMapElement(dates(), inputDate(0))
AddElement(duplicated())
duplicated()\date = inputDate(0)
duplicated()\firstLine = dates()
duplicated()\line = totalLines
Else
dates(inputDate(0)) = totalLines
EndIf
ExtractRegularExpression(#exp_instruments, Mid(line, Len(inputDate(0)) + 1), instruments())
Define pairsCount = ArraySize(instruments()), containsBadValues = #False
For i = 0 To pairsCount
If Val(ReplaceRegularExpression(#exp_instrumentStatus, instruments(i), "")) < 1
containsBadValues = #True
Break
EndIf
Next
If pairsCount <> #instrumentCount - 1
AddElement(syntaxError()): syntaxError() = totalLines
EndIf
If Not containsBadValues
goodRecordCount + 1
EndIf
ForEver
CloseFile(0)
If OpenConsole()
ForEach duplicated()
PrintN("Duplicate date: " + duplicated()\date + " occurs on lines " + Str(duplicated()\line) + " and " + Str(duplicated()\firstLine) + ".")
Next
ForEach syntaxError()
PrintN( "Syntax error in line " + Str(syntaxError()))
Next
PrintN(#CRLF$ + Str(goodRecordCount) + " of " + Str(totalLines) + " lines read were valid records.")
Print(#CRLF$ + #CRLF$ + "Press ENTER to exit"): Input()
CloseConsole()
EndIf
EndIf

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@ -0,0 +1,41 @@
import re
import zipfile
import StringIO
def munge2(readings):
datePat = re.compile(r'\d{4}-\d{2}-\d{2}')
valuPat = re.compile(r'[-+]?\d+\.\d+')
statPat = re.compile(r'-?\d+')
allOk, totalLines = 0, 0
datestamps = set([])
for line in readings:
totalLines += 1
fields = line.split('\t')
date = fields[0]
pairs = [(fields[i],fields[i+1]) for i in range(1,len(fields),2)]
lineFormatOk = datePat.match(date) and \
all( valuPat.match(p[0]) for p in pairs ) and \
all( statPat.match(p[1]) for p in pairs )
if not lineFormatOk:
print 'Bad formatting', line
continue
if len(pairs)!=24 or any( int(p[1]) < 1 for p in pairs ):
print 'Missing values', line
continue
if date in datestamps:
print 'Duplicate datestamp', line
continue
datestamps.add(date)
allOk += 1
print 'Lines with all readings: ', allOk
print 'Total records: ', totalLines
#zfs = zipfile.ZipFile('readings.zip','r')
#readings = StringIO.StringIO(zfs.read('readings.txt'))
readings = open('readings.txt','r')
munge2(readings)

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@ -0,0 +1,45 @@
import re
import zipfile
import StringIO
def munge2(readings, debug=False):
datePat = re.compile(r'\d{4}-\d{2}-\d{2}')
valuPat = re.compile(r'[-+]?\d+\.\d+')
statPat = re.compile(r'-?\d+')
totalLines = 0
dupdate, badform, badlen, badreading = set(), set(), set(), 0
datestamps = set([])
for line in readings:
totalLines += 1
fields = line.split('\t')
date = fields[0]
pairs = [(fields[i],fields[i+1]) for i in range(1,len(fields),2)]
lineFormatOk = datePat.match(date) and \
all( valuPat.match(p[0]) for p in pairs ) and \
all( statPat.match(p[1]) for p in pairs )
if not lineFormatOk:
if debug: print 'Bad formatting', line
badform.add(date)
if len(pairs)!=24 or any( int(p[1]) < 1 for p in pairs ):
if debug: print 'Missing values', line
if len(pairs)!=24: badlen.add(date)
if any( int(p[1]) < 1 for p in pairs ): badreading += 1
if date in datestamps:
if debug: print 'Duplicate datestamp', line
dupdate.add(date)
datestamps.add(date)
print 'Duplicate dates:\n ', '\n '.join(sorted(dupdate))
print 'Bad format:\n ', '\n '.join(sorted(badform))
print 'Bad number of fields:\n ', '\n '.join(sorted(badlen))
print 'Records with good readings: %i = %5.2f%%\n' % (
totalLines-badreading, (totalLines-badreading)/float(totalLines)*100 )
print 'Total records: ', totalLines
readings = open('readings.txt','r')
munge2(readings)

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@ -0,0 +1,13 @@
# Read in data from file
dfr <- read.delim("d:/readings.txt", colClasses=c("character", rep(c("numeric", "integer"), 24)))
dates <- strptime(dfr[,1], "%Y-%m-%d")
# Any bad values?
dfr[which(is.na(dfr))]
# Any duplicated dates
dates[duplicated(dates)]
# Number of rows with no bad values
flags <- as.matrix(dfr[,seq(3,49,2)])>0
sum(apply(flags, 1, all))

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@ -0,0 +1,148 @@
/*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.*/
oldDate =0 /*placeholder of penutilmate date*/
w =16 /*width of fields when displayed.*/
dupDates=0 /*count of duplicated timestamps.*/
badflags=0 /*count of bad flags (¬ integer).*/
badDates=0 /*count of bad dates (bad format)*/
badData =0 /*count of bad datas (¬ numeric).*/
ignoredR=0 /*count of ignored records (bad).*/
maxInstruments=24 /*maximum number of instruments. */
yyyyCurr=right(date(),4) /*get the current year (today). */
monDD. =31 /*number of days in every month. */
/*February is figured on the fly.*/
monDD.4 =30
monDD.6 =30
monDD.9 =30
monDD.11=30
do records=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. */
if datestamp==oldDate then do /*found a duplicate timestamp. */
dupDates=dupDates+1 /*bump the counter.*/
call sy datestamp copies('~',30),
'is a duplicate of the',
"previous datestamp."
ignoredR=ignoredR+1 /*bump ignoredRecs.*/
iterate /*ignore this duplicate record. */
end
parse var datestamp yyyy '-' mm '-' dd /*obtain YYYY, MM, and DD. */
monDD.2=28+leapyear(yyyy) /*how long is February in YYYY ? */
/*check for various bad formats. */
if verify(yyyy||mm||dd,1234567890)\==0 |,
length(datestamp)\==10 |,
length(yyyy)\==4 |,
length(mm )\==2 |,
length(dd )\==2 |,
yyyy<1970 |,
yyyy>yyyyCurr |,
mm=0 | dd=0 |,
mm>12 | dd>monDD.mm then do
badDates=badDates+1
call sy datestamp copies('~'),
'has an illegal format.'
ignoredR=ignoredR+1 /*bump ignoredRecs.*/
iterate /*ignore this bad date record. */
end
oldDate=datestamp /*save datestamp for next read. */
sum=0
flg=0
OKs=0
do j=1 until Idata='' /*process the instrument data. */
parse var Idata data.j flag.j Idata
if pos('.',flag.j)\==0 |, /*flag have a decimal point -or-*/
\datatype(flag.j,'W') then do /*is the flag not a whole number?*/
badflags=badflags+1 /*bump counter.*/
call sy datestamp copies('~'),
'instrument' j "has a bad flag:",
flag.j
iterate /*ignore it & it's data.*/
end
if \datatype(data.j,'N') then do /*is the flag not a whole number?*/
badData=badData+1 /*bump counter.*/
call sy datestamp copies('~'),
'instrument' j "has bad data:",
data.j
iterate /*ignore it & it's flag.*/
end
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 /*j*/
if j>maxInstruments then do
badData=badData+1 /*bump counter.*/
call sy datestamp copies('~'),
'too many instrument datum'
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 /*records*/
records=records-1 /*adjust for reading end-of-file.*/
if grandOKs\==0 then grandAvg=format(grandsum/grandOKs,,3)
else grandAvg='[n/a]'
call sy
call sy copies('=',60)
call sy ' records read:' right(comma(records ),w)
call sy ' records ignored:' right(comma(ignoredR),w)
call sy ' grand sum:' right(comma(grandSum),w+4)
call sy ' grand average:' right(comma(grandAvg),w+4)
call sy ' grand OK data:' right(comma(grandOKs),w)
call sy ' grand flagged:' right(comma(grandFlg),w)
call sy ' duplicate dates:' right(comma(dupDates),w)
call sy ' bad dates:' right(comma(badDates),w)
call sy ' bad data:' right(comma(badData ),w)
call sy ' bad flags:' right(comma(badflags),w)
if longFlag\==0 then
call sy ' longest flagged:' right(comma(longFlag),w) " ending at " longdate
call sy copies('=',60)
call sy
exit /*stick a fork in it, we're done.*/
/*──────────────────────────────────LEAPYEAR subroutine─────────────────*/
leapyear: procedure; arg y /*year could be: Y, YY, YYY, YYYY*/
if length(y)==2 then y=left(right(date(),4),2)y /*adjust for YY year.*/
if y//4\==0 then return 0 /* not ≈ by 4? Not a leapyear.*/
return y//100\==0 | y//400==0 /*apply 100 and 400 year rule. */
/*──────────────────────────────────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 _

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@ -0,0 +1,50 @@
#lang racket
(read-decimal-as-inexact #f)
;; files to read is a sequence, so it could be either a list or vector of files
(define (text-processing/2 files-to-read)
(define seen-datestamps (make-hash))
(define (datestamp-seen? ds) (hash-ref seen-datestamps ds #f))
(define (datestamp-seen! ds pos) (hash-set! seen-datestamps ds pos))
(define (fold-into-pairs l (acc null))
(match l ['() (reverse acc)]
[(list _) (reverse (cons l acc))]
[(list-rest a b tl) (fold-into-pairs tl (cons (list a b) acc))]))
(define (match-valid-field line pos)
(match (string-split line)
;; if we don't hit an error, then the file is valid
((list-rest (not (pregexp #px"[[:digit:]]{4}-[[:digit:]]{2}-[[:digit:]]{2}")) _)
(error 'match-valid-field "invalid format non-datestamp at head: ~a~%" line))
;; check for duplicates
((list-rest (? datestamp-seen? ds) _)
(printf "duplicate datestamp: ~a at line: ~a (first seen at: ~a)~%"
ds pos (datestamp-seen? ds))
#f)
;; register the datestamp as seen, then move on to rest of match
((list-rest ds _) (=> next-match-rule) (datestamp-seen! ds pos) (next-match-rule))
((list-rest
_
(app fold-into-pairs
(list (list (app string->number (and (? number?) vs))
(app string->number (and (? integer?) statuss)))
...)))
(=> next-match-rule)
(unless (= (length vs) 24) (next-match-rule))
(not (for/first ((s statuss) #:unless (positive? s)) #t)))
;; if we don't hit an error, then the file is valid
(else (error 'match-valid-field "bad field format: ~a~%" line))))
(define (sub-t-p/1)
(for/sum ((line (in-lines))
(line-number (in-naturals 1)))
(if (match-valid-field line line-number) 1 0)))
(for/sum ((file-name files-to-read))
(with-input-from-file file-name sub-t-p/1)))
(printf "~a records have good readings for all instruments~%"
(text-processing/2 (current-command-line-arguments)))

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@ -0,0 +1,53 @@
require 'set'
def munge2(readings, debug=false)
datePat = /^\d{4}-\d{2}-\d{2}/
valuPat = /^[-+]?\d+\.\d+/
statPat = /^-?\d+/
totalLines = 0
dupdate, badform, badlen, badreading = Set[], Set[], Set[], 0
datestamps = Set[[]]
for line in readings
totalLines += 1
fields = line.split(/\t/)
date = fields.shift
pairs = fields.enum_slice(2).to_a
lineFormatOk = date =~ datePat &&
pairs.all? { |x,y| x =~ valuPat && y =~ statPat }
if !lineFormatOk
puts 'Bad formatting ' + line if debug
badform << date
end
if pairs.length != 24 ||
pairs.any? { |x,y| y.to_i < 1 }
puts 'Missing values ' + line if debug
end
if pairs.length != 24
badlen << date
end
if pairs.any? { |x,y| y.to_i < 1 }
badreading += 1
end
if datestamps.include?(date)
puts 'Duplicate datestamp ' + line if debug
dupdate << date
end
datestamps << date
end
puts 'Duplicate dates:', dupdate.sort.map { |x| ' ' + x }
puts 'Bad format:', badform.sort.map { |x| ' ' + x }
puts 'Bad number of fields:', badlen.sort.map { |x| ' ' + x }
puts 'Records with good readings: %i = %5.2f%%' % [
totalLines-badreading, (totalLines-badreading)/totalLines.to_f*100 ]
puts
puts 'Total records: %d' % totalLines
end
open('readings.txt','r') do |readings|
munge2(readings)
end

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@ -0,0 +1,39 @@
object DataMunging2 {
import scala.io.Source
import scala.collection.immutable.{TreeMap => Map}
val pattern = """^(\d+-\d+-\d+)""" + """\s+(\d+\.\d+)\s+(-?\d+)""" * 24 + "$" r;
def main(args: Array[String]) {
val files = args map (new java.io.File(_)) filter (file => file.isFile && file.canRead)
val (numFormatErrors, numValidRecords, dateMap) =
files.iterator.flatMap(file => Source fromFile file getLines ()).
foldLeft((0, 0, new Map[String, Int] withDefaultValue 0)) {
case ((nFE, nVR, dM), line) => pattern findFirstMatchIn line map (_.subgroups) match {
case Some(List(date, rawData @ _*)) =>
val allValid = (rawData map (_ toDouble) iterator) grouped 2 forall (_.last > 0)
(nFE, nVR + (if (allValid) 1 else 0), dM(date) += 1)
case None => (nFE + 1, nVR, dM)
}
}
dateMap foreach {
case (date, repetitions) if repetitions > 1 => println(date+": "+repetitions+" repetitions")
case _ =>
}
println("""|
|Valid records: %d
|Duplicated dates: %d
|Duplicated records: %d
|Data format errors: %d
|Invalid data records: %d
|Total records: %d""".stripMargin format (
numValidRecords,
dateMap filter { case (_, repetitions) => repetitions > 1 } size,
dateMap.valuesIterable filter (_ > 1) map (_ - 1) sum,
numFormatErrors,
dateMap.valuesIterable.sum - numValidRecords,
dateMap.valuesIterable.sum))
}
}

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@ -0,0 +1,25 @@
set data [lrange [split [read [open "readings.txt" "r"]] "\n"] 0 end-1]
set total [llength $data]
set correct $total
set datestamps {}
foreach line $data {
set formatOk true
set hasAllMeasurements true
set date [lindex $line 0]
if {[llength $line] != 49} { set formatOk false }
if {![regexp {\d{4}-\d{2}-\d{2}} $date]} { set formatOk false }
if {[lsearch $datestamps $date] != -1} { puts "Duplicate datestamp: $date" } {lappend datestamps $date}
foreach {value flag} [lrange $line 1 end] {
if {$flag < 1} { set hasAllMeasurements false }
if {![regexp -- {[-+]?\d+\.\d+} $value] || ![regexp -- {-?\d+} $flag]} {set formatOk false}
}
if {!$hasAllMeasurements} { incr correct -1 }
if {!$formatOk} { puts "line \"$line\" has wrong format" }
}
puts "$correct records with good readings = [expr $correct * 100.0 / $total]%"
puts "Total records: $total"

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set total [set good 0]
array set seen {}
set fh [open readings.txt]
while {[gets $fh line] != -1} {
incr total
set fields [regexp -inline -all {[^ \t\r\n]+} $line]
if {[llength $fields] != 49} {
puts "bad format: not 49 fields on line $total"
continue
}
if { ! [regexp {^(\d{4}-\d\d-\d\d)$} [lindex $fields 0] -> date]} {
puts "bad format: invalid date on line $total: '$date'"
continue
}
if {[info exists seen($date)]} {
puts "duplicate date on line $total: $date"
}
incr seen($date)
set line_format_ok true
set readings_ignored 0
foreach {value flag} [lrange $fields 1 end] {
if { ! [string is double -strict $value]} {
puts "bad format: value not a float on line $total: '$value'"
set line_format_ok false
}
if { ! [string is int -strict $flag]} {
puts "bad format: flag not an integer on line $total: '$flag'"
set line_format_ok false
}
if {$flag < 1} {incr readings_ignored}
}
if {$line_format_ok && $readings_ignored == 0} {incr good}
}
close $fh
puts "total: $total"
puts [format "good: %d = %5.2f%%" $good [expr {100.0 * $good / $total}]]

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#import std
#import nat
readings = (*F ~&c/;digits+ rlc ==+ ~~ -={` ,9%cOi&,13%cOi&}) readings_dot_txt
valid_format = all -&length==49,@tK27 all ~&w/`.&& ~&jZ\digits--'-.',@tK28 all ~&jZ\digits--'-'&-
duplicate_dates = :/'duplicated dates:'+ ~&hK2tFhhPS|| -[(none)]-!
good_readings = --' good readings'@h+ %nP+ length+ *~ @tK28 all ~='0'&& ~&wZ/`-
#show+
main = valid_format?(^C/good_readings duplicate_dates,-[invalid format]-!) readings

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#50 = Buf_Num // Current edit buffer (source data)
File_Open("|(PATH_ONLY)\output.txt")
#51 = Buf_Num // Edit buffer for output file
Buf_Switch(#50)
#11 = #12 = #13 = #14 = #15 = 0
Reg_Set(15, "xxx")
While(!At_EOF) {
#10 = 0
#12++
// Check for repeated date field
if (Match(@15) == 0) {
#20 = Cur_Line
Buf_Switch(#51) // Output file
Reg_ins(15) IT(": duplicate record at ") Num_Ins(#20)
Buf_Switch(#50) // Input file
#13++
}
// Check format of date field
if (Match("|d|d|d|d-|d|d-|d|d|w", ADVANCE) != 0) {
#10 = 1
#14++
}
Reg_Copy_Block(15, BOL_pos, Cur_Pos-1)
// Check data fields and flags:
Repeat(24) {
if ( Match("|d|*.|d|d|d|w", ADVANCE) != 0 || Num_Eval(ADVANCE) < 1) {
#10 = 1
#15++
Break
}
Match("|W", ADVANCE)
}
if (#10 == 0) { #11++ } // record was OK
Line(1, ERRBREAK)
}
Buf_Switch(#51) // buffer for output data
IN
IT("Valid records: ") Num_Ins(#11)
IT("Duplicates: ") Num_Ins(#13)
IT("Date format errors: ") Num_Ins(#14)
IT("Invalid data records:") Num_Ins(#15)
IT("Total records: ") Num_Ins(#12)

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1990-03-25: duplicate record at 85
1991-03-31: duplicate record at 456
1992-03-29: duplicate record at 820
1993-03-28: duplicate record at 1184
1995-03-26: duplicate record at 1911
Valid records: 5017
Duplicates: 5
Date format errors: 0
Invalid data records: 454
Total records: 5471