Create README.md

README.md

@@ -0,0 +1,50 @@
+```python
+from deepsparse import TextGeneration
+prompt='### Instruction:\nWrite a Perl script that processes a log file and counts the occurrences of different HTTP status codes. The script should accept the log file path as a command-line argument and print the results to the console in descending order of frequency.\n\n### Response:\n'
+model = TextGeneration(model="hf:neuralmagic/zephyr-7b-beta-pruned50-quant-ds")
+print(model(prompt, max_new_tokens=200).generations[0].text)
+"""
+Here's a Perl script that meets the requirements:
+
+```perl
+use strict;
+use warnings;
+
+sub get_status_code {
+    my ($status) = ();
+    my ($match) = qr/\s*\d{3}\s*$/;
+    return $1 if ($status =~ $match);
+}
+
+sub count_occurrences {
+    my ($file) = shift;
+    my (%counts) = ();
+    open my $fh, '<', $file or die "Can't open $file: $!";
+    while (my $line = <$fh>) {
+        my ($status) = get_status_code($line);
+        $counts{$status}++;
+    }
+    close $fh;
+    return \%counts;
+}
+
+my ($file) = shift;
+my (@codes) = qw(200 300 400 500);
+my (@sorted) = ();
+
+foreach my ($status, $count) (@codes, \%{ $status }->value()) {
+    push @sorted, [$count, $status];
+}
+
+foreach my ($code, $freq) (@sorted) {
+    print "$code\t$freq\n";
+}
+
+my ($results) = count_occurrences($file);
+my (@sorted) = sort { $b[1] <=> $a[1] } @{$results};
+foreach my ($code, $freq) (@sorted) {
+    print "$code\t$freq\n";
+}
+```
+"""
+```