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. Make it run in parallel on 4 cores at the same time, each job taking ~1/4 of the file. Print out 4 differnt json dicts, one per line. I'll do the merging. Do not import serde_json, write json output from scratch.

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. Make it run in parallel on 4 cores at the same time, each job taking ~1/4 of the file. Print out 4 differnt json dicts, one per line. I'll do the merging. Do not import serde_json, write json output from scratch.

Output

Here is a self-contained Rust program that reads a text file located at `/tmp/file.txt`, splits the file into four parts, processes each part in parallel to count word frequencies, and prints the results as JSON dictionaries, one per line. 

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use std::fs::File;
use std::io::{self, BufRead, BufReader};
use std::sync::mpsc;
use std::thread;
use std::collections::HashMap;

fn main() -> io::Result<()> {
    let file_path = "/tmp/file.txt";
    let file = File::open(file_path)?;
    let reader = BufReader::new(file);
    let lines: Vec<String> = reader.lines().collect::<Result<_, _>>()?;
    let text = lines.join("\n");

    let chunk_size = (text.len() + 3) / 4; // Split into 4 chunks
    let (tx, rx) = mpsc::channel();

    for i in 0..4 {
        let tx = tx.clone();
        let start = i * chunk_size;
        let end = if i == 3 {
            text.len()
        } else {
            (i + 1) * chunk_size
        };
        let chunk = text[start..end].to_string();

        thread::spawn(move || {
            let mut word_count = HashMap::new();
            for word in chunk.split_whitespace() {
                *word_count.entry(word.to_string()).or_insert(0) += 1;
            }
            let json = format_word_count_as_json(&word_count);
            tx.send(json).unwrap();
        });
    }

    drop(tx); // Close the sender to allow the receiver to exit

    for received in rx {
        println!("{}", received);
    }

    Ok(())
}

fn format_word_count_as_json(word_count: &HashMap<String, u32>) -> String {
    let mut json = String::from("{");
    for (i, (word, count)) in word_count.iter().enumerate() {
        if i != 0 {
            json.push_str(", ");
        }
        json.push_str(&format!("\"{}\": {}", word, count));
    }
    json.push('}');
    json
}
### Explanation: 1. **File Reading**: The program reads the file `/tmp/file.txt` line by line and joins the lines into a single string. 2. **Chunking**: The text is split into four chunks of approximately equal size. 3. **Parallel Processing**: Each chunk is processed in a separate thread. A `HashMap` is used to count word frequencies in each chunk. 4. **JSON Formatting**: The `format_word_count_as_json` function converts the `HashMap` into a JSON string manually. 5. **Output**: The results from each thread are sent through a channel and printed to stdout, one JSON dictionary per line. ### How to Run: 1. Save the program to a file, e.g., `rust_word_count.rs`. 2. Compile it with `rustc rust_word_count.rs`. 3. Run the resulting binary: `./rust_word_count`. ### Example Output: If `/tmp/file.txt` contains `"This is is is, an example"`, the output might look like this (order may vary due to parallelism): 
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{"This": 1}
{"is": 2, "is,": 1}
{"an": 1}
{"example": 1}

Extract Code

I extracted the following code from that output: 

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use std::fs::File;
use std::io::{self, BufRead, BufReader};
use std::sync::mpsc;
use std::thread;
use std::collections::HashMap;

fn main() -> io::Result<()> {
    let file_path = "/tmp/file.txt";
    let file = File::open(file_path)?;
    let reader = BufReader::new(file);
    let lines: Vec<String> = reader.lines().collect::<Result<_, _>>()?;
    let text = lines.join("\n");

    let chunk_size = (text.len() + 3) / 4; // Split into 4 chunks
    let (tx, rx) = mpsc::channel();

    for i in 0..4 {
        let tx = tx.clone();
        let start = i * chunk_size;
        let end = if i == 3 {
            text.len()
        } else {
            (i + 1) * chunk_size
        };
        let chunk = text[start..end].to_string();

        thread::spawn(move || {
            let mut word_count = HashMap::new();
            for word in chunk.split_whitespace() {
                *word_count.entry(word.to_string()).or_insert(0) += 1;
            }
            let json = format_word_count_as_json(&word_count);
            tx.send(json).unwrap();
        });
    }

    drop(tx); // Close the sender to allow the receiver to exit

    for received in rx {
        println!("{}", received);
    }

    Ok(())
}

fn format_word_count_as_json(word_count: &HashMap<String, u32>) -> String {
    let mut json = String::from("{");
    for (i, (word, count)) in word_count.iter().enumerate() {
        if i != 0 {
            json.push_str(", ");
        }
        json.push_str(&format!("\"{}\": {}", word, count));
    }
    json.push('}');
    json
}

Check if all of the following conditions are true:

LLM Generation

Query

Below is some student's code. I asked them to parallelize some code. Do not judge if it is correct, I have test cases for that. Logic errors are okay. So are synatx errors. Just tell me if they tried to parallelize it. use std::fs::File; use std::io::{self, BufRead, BufReader}; use std::sync::mpsc; use std::thread; use std::collections::HashMap; fn main() -> io::Result<()> { let file_path = "/tmp/file.txt"; let file = File::open(file_path)?; let reader = BufReader::new(file); let lines: Vec<String> = reader.lines().collect::<Result<_, _>>()?; let text = lines.join("\n"); let chunk_size = (text.len() + 3) / 4; // Split into 4 chunks let (tx, rx) = mpsc::channel(); for i in 0..4 { let tx = tx.clone(); let start = i * chunk_size; let end = if i == 3 { text.len() } else { (i + 1) * chunk_size }; let chunk = text[start..end].to_string(); thread::spawn(move || { let mut word_count = HashMap::new(); for word in chunk.split_whitespace() { *word_count.entry(word.to_string()).or_insert(0) += 1; } let json = format_word_count_as_json(&word_count); tx.send(json).unwrap(); }); } drop(tx); // Close the sender to allow the receiver to exit for received in rx { println!("{}", received); } Ok(()) } fn format_word_count_as_json(word_count: &HashMap<String, u32>) -> String { let mut json = String::from("{"); for (i, (word, count)) in word_count.iter().enumerate() { if i != 0 { json.push_str(", "); } json.push_str(&format!("\"{}\": {}", word, count)); } json.push('}'); json } Answer either 'The student passes' or 'The student fails'.

Output

The student passes.

Substring Evaluation

Testing if the previous output contains the string student passes: True

Run Code Interpreter

Running the following program: 

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use std::fs::File;
use std::io::{self, BufRead, BufReader};
use std::sync::mpsc;
use std::thread;
use std::collections::HashMap;

fn main() -> io::Result<()> {
    let file_path = "/tmp/file.txt";
    let file = File::open(file_path)?;
    let reader = BufReader::new(file);
    let lines: Vec<String> = reader.lines().collect::<Result<_, _>>()?;
    let text = lines.join("\n");

    let chunk_size = (text.len() + 3) / 4; // Split into 4 chunks
    let (tx, rx) = mpsc::channel();

    for i in 0..4 {
        let tx = tx.clone();
        let start = i * chunk_size;
        let end = if i == 3 {
            text.len()
        } else {
            (i + 1) * chunk_size
        };
        let chunk = text[start..end].to_string();

        thread::spawn(move || {
            let mut word_count = HashMap::new();
            for word in chunk.split_whitespace() {
                *word_count.entry(word.to_string()).or_insert(0) += 1;
            }
            let json = format_word_count_as_json(&word_count);
            tx.send(json).unwrap();
        });
    }

    drop(tx); // Close the sender to allow the receiver to exit

    for received in rx {
        println!("{}", received);
    }

    Ok(())
}

fn format_word_count_as_json(word_count: &HashMap<String, u32>) -> String {
    let mut json = String::from("{");
    for (i, (word, count)) in word_count.iter().enumerate() {
        if i != 0 {
            json.push_str(", ");
        }
        json.push_str(&format!("\"{}\": {}", word, count));
    }
    json.push('}');
    json
}
And got the output: {"it": 4, "worst": 1, "was": 4, "foolish": 1, "of": 4, "best": 1, "times,": 2, "age": 2, "wisdom,": 1, "the": 4} {"th": 1, "season": 1, "of": 3, "it": 4, "epoch": 2, "ness,": 1, "Light,": 1, "the": 3, "belief,": 1, "incredulity,": 1, "was": 4} {"the": 2, "despair,": 1, "season": 1, "it": 2, "we": 1, "hope,": 1, "Darkness,": 1, "before": 1, "spring": 1, "e": 1, "was": 2, "of": 3, "everything": 1, "had": 1, "winter": 1} {"before": 1, "other": 1, "Heaven,": 1, "nothing": 1, "we": 3, "direct": 2, "had": 1, "way": 1, "us,": 2, "the": 1, "all": 2, "going": 2, "to": 1, "were": 2}

PyFunc

Resulting in output: [('Darkness,', 1), ('Heaven,', 1), ('Light,', 1), ('age', 2), ('all', 2), ('before', 2), ('belief,', 1), ('best', 1), ('despair,', 1), ('direct', 2), ('e', 1), ('epoch', 2), ('everything', 1), ('foolish', 1), ('going', 2), ('had', 2), ('hope,', 1), ('incredulity,', 1), ('it', 10), ('ness,', 1), ('nothing', 1), ('of', 10), ('other', 1), ('season', 2), ('spring', 1), ('th', 1), ('the', 10), ('times,', 2), ('to', 1), ('us,', 2), ('was', 10), ('way', 1), ('we', 4), ('were', 2), ('winter', 1), ('wisdom,', 1), ('worst', 1)]

Equal Evaluation

Testing if the previous output equals the string [('Darkness,', 1), ('Heaven,', 1), ('Light,', 1), ('age', 2), ('all', 2), ('before', 2), ('belief,', 1), ('best', 1), ('despair,', 1), ('direct', 2), ('epoch', 2), ('everything', 1), ('foolishness,', 1), ('going', 2), ('had', 2), ('hope,', 1), ('incredulity,', 1), ('it', 10), ('nothing', 1), ('of', 10), ('other', 1), ('season', 2), ('spring', 1), ('the', 11), ('times,', 2), ('to', 1), ('us,', 2), ('was', 10), ('way', 1), ('we', 4), ('were', 2), ('winter', 1), ('wisdom,', 1), ('worst', 1)]: False

Final Answer: False