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 Do not import serde_json, write json output from scratch.

LLM Generation

Query

Output

Here is the Rust program that meets the specified requirements:

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

fn main() {
    let contents = fs::read_to_string("/tmp/file.txt").expect("Failed to read file");

    let mut counts = HashMap::new();
    let mut order = Vec::new();

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

    let json_entries: Vec<String> = order
        .iter()
        .map(|word| {
            let count = counts.get(word).unwrap();
            let escaped_word = word
                .replace('\\', r"\\")
                .replace('"', r#"\""#)
                .replace('\n', r"\n")
                .replace('\r', r"\r")
                .replace('\t', r"\t");
            format!("\"{}\": {}", escaped_word, count)
        })
        .collect();

    let json_output = format!("{{{}}}", json_entries.join(", "));

    println!("{}", json_output);
}

This program: 1. Reads the file from `/tmp/file.txt` 2. Splits the content into words using whitespace boundaries 3. Counts occurrences while tracking the first occurrence order 4. Properly escapes special JSON characters in words 5. Outputs JSON in first-occurrence order 6. Requires no external crates (compiles directly with `rustc`) 7. Handles special characters like `\`, `"`, newlines, tabs, etc. To use: 1. Save as `rust_word_count.rs` 2. Compile with `rustc rust_word_count.rs` 3. Run with `./rust_word_count`

Extract Code

I extracted the following code from that output:

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

fn main() {
    let contents = fs::read_to_string("/tmp/file.txt").expect("Failed to read file");

    let mut counts = HashMap::new();
    let mut order = Vec::new();

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

    let json_entries: Vec<String> = order
        .iter()
        .map(|word| {
            let count = counts.get(word).unwrap();
            let escaped_word = word
                .replace('\\', r"\\")
                .replace('"', r#"\""#)
                .replace('\n', r"\n")
                .replace('\r', r"\r")
                .replace('\t', r"\t");
            format!("\"{}\": {}", escaped_word, count)
        })
        .collect();

    let json_output = format!("{{{}}}", json_entries.join(", "));

    println!("{}", json_output);
}

Run Code Interpreter

Running the following program:

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

fn main() {
    let contents = fs::read_to_string("/tmp/file.txt").expect("Failed to read file");

    let mut counts = HashMap::new();
    let mut order = Vec::new();

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

    let json_entries: Vec<String> = order
        .iter()
        .map(|word| {
            let count = counts.get(word).unwrap();
            let escaped_word = word
                .replace('\\', r"\\")
                .replace('"', r#"\""#)
                .replace('\n', r"\n")
                .replace('\r', r"\r")
                .replace('\t', r"\t");
            format!("\"{}\": {}", escaped_word, count)
        })
        .collect();

    let json_output = format!("{{{}}}", json_entries.join(", "));

    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:

{"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