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

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18

use std::collections::HashMap;
use std::fs;

fn main() {
    let content = fs::read_to_string("/tmp/file.txt").expect("Failed to read file");
    let mut word_counts = HashMap::new();

    for word in content.split_whitespace() {
        *word_counts.entry(word.to_string()).or_insert(0) += 1;
    }

    let entries: Vec<String> = word_counts
        .iter()
        .map(|(word, count)| format!("\"{}\": {}", word, count))
        .collect();

    println!("{{{}}}", entries.join(", "));
}

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

use std::collections::HashMap;
use std::fs;

fn main() {
    let content = fs::read_to_string("/tmp/file.txt").expect("Failed to read file");
    let mut word_counts = HashMap::new();

    for word in content.split_whitespace() {
        *word_counts.entry(word.to_string()).or_insert(0) += 1;
    }

    let entries: Vec<String> = word_counts
        .iter()
        .map(|(word, count)| format!("\"{}\": {}", word, count))
        .collect();

    println!("{{{}}}", entries.join(", "));
}

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

use std::collections::HashMap;
use std::fs;

fn main() {
    let content = fs::read_to_string("/tmp/file.txt").expect("Failed to read file");
    let mut word_counts = HashMap::new();

    for word in content.split_whitespace() {
        *word_counts.entry(word.to_string()).or_insert(0) += 1;
    }

    let entries: Vec<String> = word_counts
        .iter()
        .map(|(word, count)| format!("\"{}\": {}", word, count))
        .collect();

    println!("{{{}}}", entries.join(", "));
}

Extract Json

I extracted the following JSON from that output:

1

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

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