Docker Setup

I have setup the docker container to run the model evaluation.

Initial Query

Write a self-contained Rust program that prints a JSON output of how often each word appears in a text file located in /tmp/file.txt. So if the file contains "This is is is, an example" then the program should print to stdout. {"This": 1, "is": 2, "is,": 1, "an": 1, "example": 1} Don't import any crates that would require a Cargo.toml file. I'll just compile it with `rustc yourfile.rs` and it should work. The program should be run by calling /path/to/rust_word_count with no arguments

LLM Generation

Query

Write a self-contained Rust program that prints a JSON output of how often each word appears in a text file located in /tmp/file.txt. So if the file contains "This is is is, an example" then the program should print to stdout. {"This": 1, "is": 2, "is,": 1, "an": 1, "example": 1} Don't import any crates that would require a Cargo.toml file. I'll just compile it with `rustc yourfile.rs` and it should work. The program should be run by calling /path/to/rust_word_count with no arguments

Output

#!/usr/bin/env rust use std::collections::HashMap; use std::fs; use std::process; fn main() { // Read the file located at /tmp/file.txt let contents = match fs::read_to_string("/tmp/file.txt") { Ok(data) => data, Err(err) => { eprintln!("Error reading /tmp/file.txt: {}", err); process::exit(1); } }; // We'll split the file into words using whitespace. // We'll also preserve the order in which each word first appears. let mut counts: HashMap<&str, usize> = HashMap::new(); let mut order: Vec<&str> = Vec::new(); for word in contents.split_whitespace() { if !counts.contains_key(word) { order.push(word); } *counts.entry(word).or_insert(0) += 1; } // Manually build a JSON object string. // Note: This simple approach does not escape any characters. let mut json_output = String::from("{"); let mut first = true; for word in order { if !first { json_output.push_str(", "); } else { first = false; } // Append each key-value pair in "key": value format. // We assume that the words do not contain quotes or other characters needing escaping. json_output.push_str(&format!("\"{}\": {}", word, counts[word])); } json_output.push('}'); // Print the JSON output to stdout. println!("{}", json_output); }

Extract Code

I extracted the following code from that output:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
#!/usr/bin/env rust
use std::collections::HashMap;
use std::fs;
use std::process;

fn main() {
    // Read the file located at /tmp/file.txt
    let contents = match fs::read_to_string("/tmp/file.txt") {
        Ok(data) => data,
        Err(err) => {
            eprintln!("Error reading /tmp/file.txt: {}", err);
            process::exit(1);
        }
    };

    // We'll split the file into words using whitespace.
    // We'll also preserve the order in which each word first appears.
    let mut counts: HashMap<&str, usize> = HashMap::new();
    let mut order: Vec<&str> = Vec::new();

    for word in contents.split_whitespace() {
        if !counts.contains_key(word) {
            order.push(word);
        }
        *counts.entry(word).or_insert(0) += 1;
    }

    // Manually build a JSON object string.
    // Note: This simple approach does not escape any characters.
    let mut json_output = String::from("{");
    let mut first = true;
    for word in order {
        if !first {
            json_output.push_str(", ");
        } else {
            first = false;
        }
        // Append each key-value pair in "key": value format.
        // We assume that the words do not contain quotes or other characters needing escaping.
        json_output.push_str(&format!("\"{}\": {}", word, counts[word]));
    }
    json_output.push('}');

    // Print the JSON output to stdout.
    println!("{}", json_output);
}

Run Code Interpreter

Running the following program:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
#!/usr/bin/env rust
use std::collections::HashMap;
use std::fs;
use std::process;

fn main() {
    // Read the file located at /tmp/file.txt
    let contents = match fs::read_to_string("/tmp/file.txt") {
        Ok(data) => data,
        Err(err) => {
            eprintln!("Error reading /tmp/file.txt: {}", err);
            process::exit(1);
        }
    };

    // We'll split the file into words using whitespace.
    // We'll also preserve the order in which each word first appears.
    let mut counts: HashMap<&str, usize> = HashMap::new();
    let mut order: Vec<&str> = Vec::new();

    for word in contents.split_whitespace() {
        if !counts.contains_key(word) {
            order.push(word);
        }
        *counts.entry(word).or_insert(0) += 1;
    }

    // Manually build a JSON object string.
    // Note: This simple approach does not escape any characters.
    let mut json_output = String::from("{");
    let mut first = true;
    for word in order {
        if !first {
            json_output.push_str(", ");
        } else {
            first = false;
        }
        // Append each key-value pair in "key": value format.
        // We assume that the words do not contain quotes or other characters needing escaping.
        json_output.push_str(&format!("\"{}\": {}", word, counts[word]));
    }
    json_output.push('}');

    // Print the JSON output to stdout.
    println!("{}", json_output);
}
And got the output: {"it": 10, "was": 10, "the": 11, "best": 1, "of": 10, "times,": 2, "worst": 1, "age": 2, "wisdom,": 1, "foolishness,": 1, "epoch": 2, "belief,": 1, "incredulity,": 1, "season": 2, "Light,": 1, "Darkness,": 1, "spring": 1, "hope,": 1, "winter": 1, "despair,": 1, "we": 4, "had": 2, "everything": 1, "before": 2, "us,": 2, "nothing": 1, "were": 2, "all": 2, "going": 2, "direct": 2, "to": 1, "Heaven,": 1, "other": 1, "way": 1}

Extract Json

I extracted the following JSON from that output:

1
{"it": 10, "was": 10, "the": 11, "best": 1, "of": 10, "times,": 2, "worst": 1, "age": 2, "wisdom,": 1, "foolishness,": 1, "epoch": 2, "belief,": 1, "incredulity,": 1, "season": 2, "Light,": 1, "Darkness,": 1, "spring": 1, "hope,": 1, "winter": 1, "despair,": 1, "we": 4, "had": 2, "everything": 1, "before": 2, "us,": 2, "nothing": 1, "were": 2, "all": 2, "going": 2, "direct": 2, "to": 1, "Heaven,": 1, "other": 1, "way": 1}

JSON Subset Evaluator

Testing if the previous output matches the JSON: { "the": 11, "it": 10, "was": 10, "of": 10, "we": 4, "times,": 2, "age": 2, "epoch": 2, "season": 2, "had": 2, "before": 2, "us,": 2, "were": 2, "all": 2, "going": 2, "direct": 2, "best": 1, "worst": 1, "wisdom,": 1, "foolishness,": 1, "belief,": 1, "incredulity,": 1, "Light,": 1, "Darkness,": 1, "spring": 1, "hope,": 1, "winter": 1, "despair,": 1, "everything": 1, "nothing": 1, "to": 1, "Heaven,": 1, "other": 1, "way": 1 }: True

Docker Setup

I have setup the docker container to run the model evaluation.

Initial Query

Write a self-contained Rust program that prints a JSON output of how often each word appears in a text file located in /tmp/file.txt. So if the file contains "This is is is, an example" then the program should print to stdout. {"This": 1, "is": 2, "is,": 1, "an": 1, "example": 1} Don't import any crates that would require a Cargo.toml file. I'll just compile it with `rustc yourfile.rs` and it should work. The program should be run by calling /path/to/rust_word_count with no arguments

LLM Generation

Query

Write a self-contained Rust program that prints a JSON output of how often each word appears in a text file located in /tmp/file.txt. So if the file contains "This is is is, an example" then the program should print to stdout. {"This": 1, "is": 2, "is,": 1, "an": 1, "example": 1} Don't import any crates that would require a Cargo.toml file. I'll just compile it with `rustc yourfile.rs` and it should work. The program should be run by calling /path/to/rust_word_count with no arguments

Output

#!/usr/bin/env rust use std::collections::HashMap; use std::fs; use std::io::{self, Write}; fn escape_json_string(s: &str) -> String { let mut escaped = String::with_capacity(s.len()); for c in s.chars() { match c { '\"' => escaped.push_str("\\\""), '\\' => escaped.push_str("\\\\"), '\n' => escaped.push_str("\\n"), '\r' => escaped.push_str("\\r"), '\t' => escaped.push_str("\\t"), c if c.is_control() => { // if character is other control character, use unicode escape escaped.push_str(&format!("\\u{:04x}", c as u32)); } _ => escaped.push(c), } } escaped } fn main() { // Attempt to read the entire file into a string let file_contents = fs::read_to_string("/tmp/file.txt").unwrap_or_else(|err| { eprintln!("Error reading file: {}", err); std::process::exit(1); }); let mut counts: HashMap<String, u32> = HashMap::new(); // We'll also track the order of first appearance of words, // so that JSON keys order in output reflects order in file. let mut order: Vec<String> = Vec::new(); // Split the file into tokens on whitespace. // Tokens are taken literally, punctuation included. for word in file_contents.split_whitespace() { // If word is encountered for first time, remember its order. if !counts.contains_key(word) { order.push(word.to_string()); } *counts.entry(word.to_string()).or_insert(0) += 1; } // Print JSON representation: // We want output like: {"This": 1, "is": 2, "is,": 1, "an": 1, "example": 1} let stdout = io::stdout(); let mut handle = stdout.lock(); write!(handle, "{{").unwrap(); let mut first = true; for key in order { if let Some(&val) = counts.get(&key) { if !first { write!(handle, ", ").unwrap(); } first = false; let escaped_key = escape_json_string(&key); write!(handle, "\"{}\": {}", escaped_key, val).unwrap(); } } writeln!(handle, "}}").unwrap(); } /* To compile: rustc yourfile.rs Then run without arguments: ./yourfile This program reads /tmp/file.txt, counts how often each whitespace‐separated word appears and prints a JSON object to stdout. */

Extract Code

I extracted the following code from that output:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
#!/usr/bin/env rust
use std::collections::HashMap;
use std::fs;
use std::io::{self, Write};

fn escape_json_string(s: &str) -> String {
    let mut escaped = String::with_capacity(s.len());
    for c in s.chars() {
        match c {
            '\"' => escaped.push_str("\\\""),
            '\\' => escaped.push_str("\\\\"),
            '\n' => escaped.push_str("\\n"),
            '\r' => escaped.push_str("\\r"),
            '\t' => escaped.push_str("\\t"),
            c if c.is_control() => {
                // if character is other control character, use unicode escape
                escaped.push_str(&format!("\\u{:04x}", c as u32));
            }
            _ => escaped.push(c),
        }
    }
    escaped
}

fn main() {
    // Attempt to read the entire file into a string
    let file_contents = fs::read_to_string("/tmp/file.txt").unwrap_or_else(|err| {
        eprintln!("Error reading file: {}", err);
        std::process::exit(1);
    });

    let mut counts: HashMap<String, u32> = HashMap::new();
    // We'll also track the order of first appearance of words,
    // so that JSON keys order in output reflects order in file.
    let mut order: Vec<String> = Vec::new();

    // Split the file into tokens on whitespace.
    // Tokens are taken literally, punctuation included.
    for word in file_contents.split_whitespace() {
        // If word is encountered for first time, remember its order.
        if !counts.contains_key(word) {
            order.push(word.to_string());
        }
        *counts.entry(word.to_string()).or_insert(0) += 1;
    }

    // Print JSON representation:
    // We want output like: {"This": 1, "is": 2, "is,": 1, "an": 1, "example": 1}
    let stdout = io::stdout();
    let mut handle = stdout.lock();
    write!(handle, "{{").unwrap();

    let mut first = true;
    for key in order {
        if let Some(&val) = counts.get(&key) {
            if !first {
                write!(handle, ", ").unwrap();
            }
            first = false;
            let escaped_key = escape_json_string(&key);
            write!(handle, "\"{}\": {}", escaped_key, val).unwrap();
        }
    }
    writeln!(handle, "}}").unwrap();
}

/*

To compile:
    rustc yourfile.rs

Then run without arguments:
    ./yourfile

This program reads /tmp/file.txt, counts how often each whitespaceseparated word appears and prints a JSON object to stdout.
*/

Run Code Interpreter

Running the following program:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
#!/usr/bin/env rust
use std::collections::HashMap;
use std::fs;
use std::io::{self, Write};

fn escape_json_string(s: &str) -> String {
    let mut escaped = String::with_capacity(s.len());
    for c in s.chars() {
        match c {
            '\"' => escaped.push_str("\\\""),
            '\\' => escaped.push_str("\\\\"),
            '\n' => escaped.push_str("\\n"),
            '\r' => escaped.push_str("\\r"),
            '\t' => escaped.push_str("\\t"),
            c if c.is_control() => {
                // if character is other control character, use unicode escape
                escaped.push_str(&format!("\\u{:04x}", c as u32));
            }
            _ => escaped.push(c),
        }
    }
    escaped
}

fn main() {
    // Attempt to read the entire file into a string
    let file_contents = fs::read_to_string("/tmp/file.txt").unwrap_or_else(|err| {
        eprintln!("Error reading file: {}", err);
        std::process::exit(1);
    });

    let mut counts: HashMap<String, u32> = HashMap::new();
    // We'll also track the order of first appearance of words,
    // so that JSON keys order in output reflects order in file.
    let mut order: Vec<String> = Vec::new();

    // Split the file into tokens on whitespace.
    // Tokens are taken literally, punctuation included.
    for word in file_contents.split_whitespace() {
        // If word is encountered for first time, remember its order.
        if !counts.contains_key(word) {
            order.push(word.to_string());
        }
        *counts.entry(word.to_string()).or_insert(0) += 1;
    }

    // Print JSON representation:
    // We want output like: {"This": 1, "is": 2, "is,": 1, "an": 1, "example": 1}
    let stdout = io::stdout();
    let mut handle = stdout.lock();
    write!(handle, "{{").unwrap();

    let mut first = true;
    for key in order {
        if let Some(&val) = counts.get(&key) {
            if !first {
                write!(handle, ", ").unwrap();
            }
            first = false;
            let escaped_key = escape_json_string(&key);
            write!(handle, "\"{}\": {}", escaped_key, val).unwrap();
        }
    }
    writeln!(handle, "}}").unwrap();
}

/*

To compile:
    rustc yourfile.rs

Then run without arguments:
    ./yourfile

This program reads /tmp/file.txt, counts how often each whitespaceseparated word appears and prints a JSON object to stdout.
*/
And got the output: {"it": 10, "was": 10, "the": 11, "best": 1, "of": 10, "times,": 2, "worst": 1, "age": 2, "wisdom,": 1, "foolishness,": 1, "epoch": 2, "belief,": 1, "incredulity,": 1, "season": 2, "Light,": 1, "Darkness,": 1, "spring": 1, "hope,": 1, "winter": 1, "despair,": 1, "we": 4, "had": 2, "everything": 1, "before": 2, "us,": 2, "nothing": 1, "were": 2, "all": 2, "going": 2, "direct": 2, "to": 1, "Heaven,": 1, "other": 1, "way": 1}

Extract Json

I extracted the following JSON from that output:

1
{"it": 10, "was": 10, "the": 11, "best": 1, "of": 10, "times,": 2, "worst": 1, "age": 2, "wisdom,": 1, "foolishness,": 1, "epoch": 2, "belief,": 1, "incredulity,": 1, "season": 2, "Light,": 1, "Darkness,": 1, "spring": 1, "hope,": 1, "winter": 1, "despair,": 1, "we": 4, "had": 2, "everything": 1, "before": 2, "us,": 2, "nothing": 1, "were": 2, "all": 2, "going": 2, "direct": 2, "to": 1, "Heaven,": 1, "other": 1, "way": 1}

JSON Subset Evaluator

Testing if the previous output matches the JSON: { "the": 11, "it": 10, "was": 10, "of": 10, "we": 4, "times,": 2, "age": 2, "epoch": 2, "season": 2, "had": 2, "before": 2, "us,": 2, "were": 2, "all": 2, "going": 2, "direct": 2, "best": 1, "worst": 1, "wisdom,": 1, "foolishness,": 1, "belief,": 1, "incredulity,": 1, "Light,": 1, "Darkness,": 1, "spring": 1, "hope,": 1, "winter": 1, "despair,": 1, "everything": 1, "nothing": 1, "to": 1, "Heaven,": 1, "other": 1, "way": 1 }: True