Perl 正则表达式语法生成

发布于 2024-09-13 04:55:15 字数 1912 浏览 6 评论 0原文

这是对此处发布的问题的后续: Perl Regex 语法

该讨论的结果产生了此脚本:

#!/usr/bin/env perl
use strict;
use warnings;

my @lines = <DATA>;

my $current_label = '';
my @ordered_labels;
my %data;
for my $line (@lines) {
    if ( $line =~ /^\/(.*)$/ ) { # starts with slash
        $current_label = $1;
        push @ordered_labels, $current_label;
        next;
    }
    if ( length $current_label ) {
        if ( $line =~ /^(\d) "(.*)"$/ ) {
            $data{$current_label}{$1} = $2;
            next;
        }
    }
}

for my $label ( @ordered_labels ) {
    print "$label <- as.factor($label\n";
    print "    , levels= c(";
    print join(',',map { $_ } sort keys %{$data{$label}} );
    print ")\n";
    print "    , labels= c(";
    print join(',',
        map { '"' . $data{$label}{$_} . '"'  }
        sort keys %{$data{$label}} );
    print ")\n";
    print "    )\n";
}

__DATA__
...A bunch of nonsense I do not care about...
...
 Value Labels
/gender
1 "M"
2 "F"
/purpose
 1 "business"
 2 "vacation"
 3 "tiddlywinks"

execute . 

本质上,我需要构建 Perl 以适应 SPSS 文件中的语法简写。对于相邻的列,SPSS 允许输入如下内容:

VALUE LABELS
/agree1 to agree5
1 "Strongly disagree"
2 "Disagree"
3 "Neutral"
4 "Agree"
5 "Strongly agree"

由于脚本当前存在,它将生成以下内容:

agree1 to agree5 <- factor(agree1 to agree5
    , levels= c(1,2,3,4,5,6)
    , labels= c("Strongly disagree","Disagree","Neutral","Agree","Strongly agree","N/A")
    )

我需要它生成如下内容:

agree1 <- factor(agree1 
    , levels= c(1,2,3,4,5,6)
    , labels= c("Strongly disagree","Disagree","Neutral","Agree","Strongly agree","N/A")
    )
agree2 <- factor(agree2 
    , levels= c(1,2,3,4,5,6)
    , labels= c("Strongly disagree","Disagree","Neutral","Agree","Strongly agree","N/A")
    )
…

This is a follow up to the question posted here: Perl Regex syntax

The results from that discussion yielded this script:

#!/usr/bin/env perl
use strict;
use warnings;

my @lines = <DATA>;

my $current_label = '';
my @ordered_labels;
my %data;
for my $line (@lines) {
    if ( $line =~ /^\/(.*)$/ ) { # starts with slash
        $current_label = $1;
        push @ordered_labels, $current_label;
        next;
    }
    if ( length $current_label ) {
        if ( $line =~ /^(\d) "(.*)"$/ ) {
            $data{$current_label}{$1} = $2;
            next;
        }
    }
}

for my $label ( @ordered_labels ) {
    print "$label <- as.factor($label\n";
    print "    , levels= c(";
    print join(',',map { $_ } sort keys %{$data{$label}} );
    print ")\n";
    print "    , labels= c(";
    print join(',',
        map { '"' . $data{$label}{$_} . '"'  }
        sort keys %{$data{$label}} );
    print ")\n";
    print "    )\n";
}

__DATA__
...A bunch of nonsense I do not care about...
...
 Value Labels
/gender
1 "M"
2 "F"
/purpose
 1 "business"
 2 "vacation"
 3 "tiddlywinks"

execute . 

Essentially, I need to build the Perl to accommodate a syntax shorthand found in the SPSS file. For adjacent columns, SPSS allows one to type something like:

VALUE LABELS
/agree1 to agree5
1 "Strongly disagree"
2 "Disagree"
3 "Neutral"
4 "Agree"
5 "Strongly agree"

As the script currently exists, it will generate this:

agree1 to agree5 <- factor(agree1 to agree5
    , levels= c(1,2,3,4,5,6)
    , labels= c("Strongly disagree","Disagree","Neutral","Agree","Strongly agree","N/A")
    )

and I need it to produce something like this:

agree1 <- factor(agree1 
    , levels= c(1,2,3,4,5,6)
    , labels= c("Strongly disagree","Disagree","Neutral","Agree","Strongly agree","N/A")
    )
agree2 <- factor(agree2 
    , levels= c(1,2,3,4,5,6)
    , labels= c("Strongly disagree","Disagree","Neutral","Agree","Strongly agree","N/A")
    )
…

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¢好甜 2024-09-20 04:55:15
use strict;
use warnings;

main();

sub main {
    my @lines = <DATA>;
    my $vlabels = get_value_labels(@lines);
    write_output_delim($vlabels);
}

# Extract the value label information from SPSS syntax.
sub get_value_labels {
    my (@vlabels, $i, $j);
    for my $line (@_){
        if ( $line =~ /^\/(.+)/ ){
            my @vars = parse_var_range($1);
            $i = @vlabels;
            $j = $i + @vars - 1;
            push @vlabels, { var => $_, codes => [] } for @vars;
        }
        elsif ( $line =~ /^\s* (\d) \s+ "(.*)"$/x ){
            push @{$vlabels[$_]{codes}}, [$1, $2] for $i .. $j;
        }
    }
    return \@vlabels;
}

# A helper function to handle variable ranges: "agree1 to agree3".
sub parse_var_range {
    my $vr = shift;
    my @vars = split /\s+ to \s+/x, $vr;
    return $vr unless @vars > 1;

    my ($stem) = $vars[0] =~ /(.+?)\d+$/;
    my @n = map { /(\d+)$/ } @vars;
    return map { "$stem" . $_ } $n[0] .. $n[1];
}

sub write_output_delim {
    my $vlabels = shift;
    for my $vlab (@$vlabels){
        print $vlab->{var}, "\n";
        print join("\t", '', @$_), "\n" for @{$vlab->{codes}}
    }
}

sub write_output_factors {
    # You get the idea...
}

__DATA__
/gender
1 "M"
2 "F"
/purpose
 1 "business"
 2 "vacation"
 3 "tiddlywinks"
/agree1 to agree3
1 "Disagree"
2 "Neutral"
3 "Agree"
use strict;
use warnings;

main();

sub main {
    my @lines = <DATA>;
    my $vlabels = get_value_labels(@lines);
    write_output_delim($vlabels);
}

# Extract the value label information from SPSS syntax.
sub get_value_labels {
    my (@vlabels, $i, $j);
    for my $line (@_){
        if ( $line =~ /^\/(.+)/ ){
            my @vars = parse_var_range($1);
            $i = @vlabels;
            $j = $i + @vars - 1;
            push @vlabels, { var => $_, codes => [] } for @vars;
        }
        elsif ( $line =~ /^\s* (\d) \s+ "(.*)"$/x ){
            push @{$vlabels[$_]{codes}}, [$1, $2] for $i .. $j;
        }
    }
    return \@vlabels;
}

# A helper function to handle variable ranges: "agree1 to agree3".
sub parse_var_range {
    my $vr = shift;
    my @vars = split /\s+ to \s+/x, $vr;
    return $vr unless @vars > 1;

    my ($stem) = $vars[0] =~ /(.+?)\d+$/;
    my @n = map { /(\d+)$/ } @vars;
    return map { "$stem" . $_ } $n[0] .. $n[1];
}

sub write_output_delim {
    my $vlabels = shift;
    for my $vlab (@$vlabels){
        print $vlab->{var}, "\n";
        print join("\t", '', @$_), "\n" for @{$vlab->{codes}}
    }
}

sub write_output_factors {
    # You get the idea...
}

__DATA__
/gender
1 "M"
2 "F"
/purpose
 1 "business"
 2 "vacation"
 3 "tiddlywinks"
/agree1 to agree3
1 "Disagree"
2 "Neutral"
3 "Agree"
~没有更多了~
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