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's a self-contained Rust program that meets your requirements: 

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

fn main() {
    let file_path = "/tmp/file.txt";
    let num_threads = 4;

    let file = File::open(file_path).expect("Failed to open file");
    let file_size = file.metadata().expect("Failed to get file metadata").len();
    let chunk_size = (file_size / num_threads as u64) + 1;

    let word_counts = Arc::new(Mutex::new(Vec::new()));

    let mut threads = Vec::new();
    for i in 0..num_threads {
        let start = i * chunk_size;
        let end = std::cmp::min((i + 1) * chunk_size, file_size);

        let file = File::open(file_path).expect("Failed to open file");
        let word_counts = word_counts.clone();

        threads.push(thread::spawn(move || {
            let mut counts = HashMap::new();
            let reader = BufReader::new(file);
            for line in reader.lines().skip(start as usize).take((end - start) as usize) {
                let line = line.expect("Failed to read line");
                for word in line.split_whitespace() {
                    *counts.entry(word.to_string()).or_insert(0) += 1;
                }
            }
            word_counts.lock().unwrap().push(counts);
        }));
    }

    for thread in threads {
        thread.join().expect("Thread panicked");
    }

    for counts in word_counts.lock().unwrap().iter() {
        print_json(&counts);
    }
}

fn print_json(counts: &HashMap<String, u32>) {
    print!("{{");
    let mut first = true;
    for (word, count) in counts {
        if !first {
            print!(", ");
        }
        print!("\"{}\": {}", word, count);
        first = false;
    }
    println!("}}");
}
To compile and run the program, save it to a file named `rust_word_count.rs` and use the following command: 
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rustc rust_word_count.rs
./rust_word_count
This program does the following: 1. It opens the file located at `/tmp/file.txt` and determines its size. 2. It calculates the chunk size for each thread based on the file size and the number of threads (4 in this case). 3. It creates a shared vector `word_counts` protected by a mutex to store the word count results from each thread. 4. It spawns 4 threads, each responsible for processing a portion of the file. 5. Each thread reads its assigned chunk of the file, counts the occurrences of each word, and stores the counts in a HashMap. 6. After all threads finish, the program iterates over the `word_counts` vector and prints each HashMap as a JSON object using the `print_json` function. Note: This program assumes that the words in the file are separated by whitespace. If you have a different delimiter, you can modify the `split_whitespace()` call accordingly.

Extract Code

I extracted the following code from that output: 

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

fn main() {
    let file_path = "/tmp/file.txt";
    let num_threads = 4;

    let file = File::open(file_path).expect("Failed to open file");
    let file_size = file.metadata().expect("Failed to get file metadata").len();
    let chunk_size = (file_size / num_threads as u64) + 1;

    let word_counts = Arc::new(Mutex::new(Vec::new()));

    let mut threads = Vec::new();
    for i in 0..num_threads {
        let start = i * chunk_size;
        let end = std::cmp::min((i + 1) * chunk_size, file_size);

        let file = File::open(file_path).expect("Failed to open file");
        let word_counts = word_counts.clone();

        threads.push(thread::spawn(move || {
            let mut counts = HashMap::new();
            let reader = BufReader::new(file);
            for line in reader.lines().skip(start as usize).take((end - start) as usize) {
                let line = line.expect("Failed to read line");
                for word in line.split_whitespace() {
                    *counts.entry(word.to_string()).or_insert(0) += 1;
                }
            }
            word_counts.lock().unwrap().push(counts);
        }));
    }

    for thread in threads {
        thread.join().expect("Thread panicked");
    }

    for counts in word_counts.lock().unwrap().iter() {
        print_json(&counts);
    }
}

fn print_json(counts: &HashMap<String, u32>) {
    print!("{{");
    let mut first = true;
    for (word, count) in counts {
        if !first {
            print!(", ");
        }
        print!("\"{}\": {}", word, count);
        first = false;
    }
    println!("}}");
}

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::collections::HashMap; use std::fs::File; use std::io::{BufRead, BufReader}; use std::sync::{Arc, Mutex}; use std::thread; fn main() { let file_path = "/tmp/file.txt"; let num_threads = 4; let file = File::open(file_path).expect("Failed to open file"); let file_size = file.metadata().expect("Failed to get file metadata").len(); let chunk_size = (file_size / num_threads as u64) + 1; let word_counts = Arc::new(Mutex::new(Vec::new())); let mut threads = Vec::new(); for i in 0..num_threads { let start = i * chunk_size; let end = std::cmp::min((i + 1) * chunk_size, file_size); let file = File::open(file_path).expect("Failed to open file"); let word_counts = word_counts.clone(); threads.push(thread::spawn(move || { let mut counts = HashMap::new(); let reader = BufReader::new(file); for line in reader.lines().skip(start as usize).take((end - start) as usize) { let line = line.expect("Failed to read line"); for word in line.split_whitespace() { *counts.entry(word.to_string()).or_insert(0) += 1; } } word_counts.lock().unwrap().push(counts); })); } for thread in threads { thread.join().expect("Thread panicked"); } for counts in word_counts.lock().unwrap().iter() { print_json(&counts); } } fn print_json(counts: &HashMap<String, u32>) { print!("{{"); let mut first = true; for (word, count) in counts { if !first { print!(", "); } print!("\"{}\": {}", word, count); first = false; } println!("}}"); } 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::collections::HashMap;
use std::fs::File;
use std::io::{BufRead, BufReader};
use std::sync::{Arc, Mutex};
use std::thread;

fn main() {
    let file_path = "/tmp/file.txt";
    let num_threads = 4;

    let file = File::open(file_path).expect("Failed to open file");
    let file_size = file.metadata().expect("Failed to get file metadata").len();
    let chunk_size = (file_size / num_threads as u64) + 1;

    let word_counts = Arc::new(Mutex::new(Vec::new()));

    let mut threads = Vec::new();
    for i in 0..num_threads {
        let start = i * chunk_size;
        let end = std::cmp::min((i + 1) * chunk_size, file_size);

        let file = File::open(file_path).expect("Failed to open file");
        let word_counts = word_counts.clone();

        threads.push(thread::spawn(move || {
            let mut counts = HashMap::new();
            let reader = BufReader::new(file);
            for line in reader.lines().skip(start as usize).take((end - start) as usize) {
                let line = line.expect("Failed to read line");
                for word in line.split_whitespace() {
                    *counts.entry(word.to_string()).or_insert(0) += 1;
                }
            }
            word_counts.lock().unwrap().push(counts);
        }));
    }

    for thread in threads {
        thread.join().expect("Thread panicked");
    }

    for counts in word_counts.lock().unwrap().iter() {
        print_json(&counts);
    }
}

fn print_json(counts: &HashMap<String, u32>) {
    print!("{{");
    let mut first = true;
    for (word, count) in counts {
        if !first {
            print!(", ");
        }
        print!("\"{}\": {}", word, count);
        first = false;
    }
    println!("}}");
}
And got the output: {} {} {"direct": 2, "way": 1, "best": 1, "age": 2, "other": 1, "worst": 1, "hope,": 1, "incredulity,": 1, "Darkness,": 1, "were": 2, "we": 4, "had": 2, "to": 1, "us,": 2, "everything": 1, "it": 10, "times,": 2, "despair,": 1, "was": 10, "epoch": 2, "season": 2, "going": 2, "wisdom,": 1, "all": 2, "winter": 1, "of": 10, "nothing": 1, "the": 11, "foolishness,": 1, "belief,": 1, "Heaven,": 1, "before": 2, "spring": 1, "Light,": 1} {}

PyFunc

Resulting in output: [('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)]

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)]: True

Final Answer: 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. 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's a self-contained Rust program that meets your requirements: 

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

fn main() {
    let file_path = "/tmp/file.txt";
    let num_threads = 4;

    let file = File::open(file_path).expect("Failed to open file");
    let file_size = file.metadata().expect("Failed to get file metadata").len();
    let chunk_size = (file_size / num_threads as u64) + 1;

    let shared_map = Arc::new(Mutex::new(Vec::new()));

    let mut threads = Vec::new();
    for i in 0..num_threads {
        let start_pos = i as u64 * chunk_size;
        let end_pos = std::cmp::min((i + 1) as u64 * chunk_size, file_size);

        let file = File::open(file_path).expect("Failed to open file");
        let shared_map = Arc::clone(&shared_map);

        threads.push(thread::spawn(move || {
            let mut reader = BufReader::new(file);
            reader.seek(std::io::SeekFrom::Start(start_pos)).expect("Failed to seek");

            let mut word_count = HashMap::new();
            let mut buffer = String::new();

            while reader.read_line(&mut buffer).expect("Failed to read line") > 0 {
                if reader.stream_position().expect("Failed to get stream position") >= end_pos {
                    break;
                }

                let words: Vec<&str> = buffer.split_whitespace().collect();
                for word in words {
                    *word_count.entry(word.to_string()).or_insert(0) += 1;
                }

                buffer.clear();
            }

            let mut shared_map = shared_map.lock().expect("Failed to acquire lock");
            shared_map.push(word_count);
        }));
    }

    for thread in threads {
        thread.join().expect("Failed to join thread");
    }

    let shared_map = shared_map.lock().expect("Failed to acquire lock");
    for word_count in shared_map.iter() {
        println!("{}", to_json(word_count));
    }
}

fn to_json(map: &HashMap<String, u32>) -> String {
    let mut json = String::from("{");
    let mut first = true;

    for (key, value) in map {
        if !first {
            json.push(',');
        }
        first = false;

        json.push('"');
        json.push_str(key);
        json.push_str("\":");
        json.push_str(&value.to_string());
    }

    json.push('}');
    json
}
This program does the following: 1. It reads the file located at `/tmp/file.txt`. 2. It calculates the chunk size based on the file size and the number of threads (4 in this case). 3. It creates a shared vector wrapped in an `Arc` and `Mutex` to store the word count results from each thread. 4. It spawns 4 threads, each responsible for processing a portion of the file. 5. Each thread seeks to its starting position in the file and reads the lines within its assigned chunk. 6. Each thread counts the occurrences of each word in its chunk and stores the word count in a `HashMap`. 7. After processing its chunk, each thread acquires a lock on the shared vector and pushes its word count `HashMap` into the vector. 8. The main thread waits for all the threads to finish using `join()`. 9. Finally, the program acquires a lock on the shared vector and iterates over the word count `HashMap`s. 10. For each `HashMap`, it calls the `to_json()` function to convert the word count to a JSON string and prints it to stdout. The `to_json()` function manually constructs the JSON string without using the `serde_json` crate. To compile and run the program, save it to a file (e.g., `rust_word_count.rs`) and use the following command: 
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The program will print 4 JSON dictionaries, one per line, representing the word count for each thread's portion of the file.

Extract Code

I extracted the following code from that output: 

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

fn main() {
    let file_path = "/tmp/file.txt";
    let num_threads = 4;

    let file = File::open(file_path).expect("Failed to open file");
    let file_size = file.metadata().expect("Failed to get file metadata").len();
    let chunk_size = (file_size / num_threads as u64) + 1;

    let shared_map = Arc::new(Mutex::new(Vec::new()));

    let mut threads = Vec::new();
    for i in 0..num_threads {
        let start_pos = i as u64 * chunk_size;
        let end_pos = std::cmp::min((i + 1) as u64 * chunk_size, file_size);

        let file = File::open(file_path).expect("Failed to open file");
        let shared_map = Arc::clone(&shared_map);

        threads.push(thread::spawn(move || {
            let mut reader = BufReader::new(file);
            reader.seek(std::io::SeekFrom::Start(start_pos)).expect("Failed to seek");

            let mut word_count = HashMap::new();
            let mut buffer = String::new();

            while reader.read_line(&mut buffer).expect("Failed to read line") > 0 {
                if reader.stream_position().expect("Failed to get stream position") >= end_pos {
                    break;
                }

                let words: Vec<&str> = buffer.split_whitespace().collect();
                for word in words {
                    *word_count.entry(word.to_string()).or_insert(0) += 1;
                }

                buffer.clear();
            }

            let mut shared_map = shared_map.lock().expect("Failed to acquire lock");
            shared_map.push(word_count);
        }));
    }

    for thread in threads {
        thread.join().expect("Failed to join thread");
    }

    let shared_map = shared_map.lock().expect("Failed to acquire lock");
    for word_count in shared_map.iter() {
        println!("{}", to_json(word_count));
    }
}

fn to_json(map: &HashMap<String, u32>) -> String {
    let mut json = String::from("{");
    let mut first = true;

    for (key, value) in map {
        if !first {
            json.push(',');
        }
        first = false;

        json.push('"');
        json.push_str(key);
        json.push_str("\":");
        json.push_str(&value.to_string());
    }

    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::collections::HashMap; use std::fs::File; use std::io::{BufRead, BufReader}; use std::sync::{Arc, Mutex}; use std::thread; fn main() { let file_path = "/tmp/file.txt"; let num_threads = 4; let file = File::open(file_path).expect("Failed to open file"); let file_size = file.metadata().expect("Failed to get file metadata").len(); let chunk_size = (file_size / num_threads as u64) + 1; let shared_map = Arc::new(Mutex::new(Vec::new())); let mut threads = Vec::new(); for i in 0..num_threads { let start_pos = i as u64 * chunk_size; let end_pos = std::cmp::min((i + 1) as u64 * chunk_size, file_size); let file = File::open(file_path).expect("Failed to open file"); let shared_map = Arc::clone(&shared_map); threads.push(thread::spawn(move || { let mut reader = BufReader::new(file); reader.seek(std::io::SeekFrom::Start(start_pos)).expect("Failed to seek"); let mut word_count = HashMap::new(); let mut buffer = String::new(); while reader.read_line(&mut buffer).expect("Failed to read line") > 0 { if reader.stream_position().expect("Failed to get stream position") >= end_pos { break; } let words: Vec<&str> = buffer.split_whitespace().collect(); for word in words { *word_count.entry(word.to_string()).or_insert(0) += 1; } buffer.clear(); } let mut shared_map = shared_map.lock().expect("Failed to acquire lock"); shared_map.push(word_count); })); } for thread in threads { thread.join().expect("Failed to join thread"); } let shared_map = shared_map.lock().expect("Failed to acquire lock"); for word_count in shared_map.iter() { println!("{}", to_json(word_count)); } } fn to_json(map: &HashMap<String, u32>) -> String { let mut json = String::from("{"); let mut first = true; for (key, value) in map { if !first { json.push(','); } first = false; json.push('"'); json.push_str(key); json.push_str("\":"); json.push_str(&value.to_string()); } 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::collections::HashMap;
use std::fs::File;
use std::io::{BufRead, BufReader};
use std::sync::{Arc, Mutex};
use std::thread;

fn main() {
    let file_path = "/tmp/file.txt";
    let num_threads = 4;

    let file = File::open(file_path).expect("Failed to open file");
    let file_size = file.metadata().expect("Failed to get file metadata").len();
    let chunk_size = (file_size / num_threads as u64) + 1;

    let shared_map = Arc::new(Mutex::new(Vec::new()));

    let mut threads = Vec::new();
    for i in 0..num_threads {
        let start_pos = i as u64 * chunk_size;
        let end_pos = std::cmp::min((i + 1) as u64 * chunk_size, file_size);

        let file = File::open(file_path).expect("Failed to open file");
        let shared_map = Arc::clone(&shared_map);

        threads.push(thread::spawn(move || {
            let mut reader = BufReader::new(file);
            reader.seek(std::io::SeekFrom::Start(start_pos)).expect("Failed to seek");

            let mut word_count = HashMap::new();
            let mut buffer = String::new();

            while reader.read_line(&mut buffer).expect("Failed to read line") > 0 {
                if reader.stream_position().expect("Failed to get stream position") >= end_pos {
                    break;
                }

                let words: Vec<&str> = buffer.split_whitespace().collect();
                for word in words {
                    *word_count.entry(word.to_string()).or_insert(0) += 1;
                }

                buffer.clear();
            }

            let mut shared_map = shared_map.lock().expect("Failed to acquire lock");
            shared_map.push(word_count);
        }));
    }

    for thread in threads {
        thread.join().expect("Failed to join thread");
    }

    let shared_map = shared_map.lock().expect("Failed to acquire lock");
    for word_count in shared_map.iter() {
        println!("{}", to_json(word_count));
    }
}

fn to_json(map: &HashMap<String, u32>) -> String {
    let mut json = String::from("{");
    let mut first = true;

    for (key, value) in map {
        if !first {
            json.push(',');
        }
        first = false;

        json.push('"');
        json.push_str(key);
        json.push_str("\":");
        json.push_str(&value.to_string());
    }

    json.push('}');
    json
}
And got the output: error[E0599]: no method named `seek` found for struct `BufReader` in the current scope --> main.rs:28:20 | 28 | reader.seek(std::io::SeekFrom::Start(start_pos)).expect("Failed to seek"); | ^^^^ method not found in `BufReader<File>` --> /rustc/07dca489ac2d933c78d3c5158e3f43beefeb02ce/library/std/src/io/mod.rs:1897:8 | = note: the method is available for `BufReader<File>` here | = help: items from traits can only be used if the trait is in scope help: the following trait is implemented but not in scope; perhaps add a `use` for it: | 2 + use std::io::Seek; | error[E0599]: no method named `stream_position` found for struct `BufReader` in the current scope --> main.rs:34:27 | 34 | if reader.stream_position().expect("Failed to get stream position") >= end_pos { | ^^^^^^^^^^^^^^^ method not found in `BufReader<File>` --> /rustc/07dca489ac2d933c78d3c5158e3f43beefeb02ce/library/std/src/io/mod.rs:2005:8 | = note: the method is available for `BufReader<File>` here | = help: items from traits can only be used if the trait is in scope help: the following trait is implemented but not in scope; perhaps add a `use` for it: | 2 + use std::io::Seek; | error: aborting due to 2 previous errors For more information about this error, try `rustc --explain E0599`. main.sh: line 2: ./a.out: No such file or directory

PyFunc

Resulting in output: []

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

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's a self-contained Rust program that reads a text file located at "/tmp/file.txt", counts the frequency of each word using parallel processing on 4 cores, and prints 4 different JSON dictionaries (one per line) to stdout: 

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

fn main() {
    let file_path = "/tmp/file.txt";
    let num_threads = 4;

    let file = File::open(file_path).expect("Unable to open file");
    let file_size = file.metadata().expect("Unable to get file metadata").len();
    let chunk_size = (file_size / num_threads as u64) + 1;

    let file_reader = BufReader::new(file);
    let lines: Vec<String> = file_reader.lines().map(|line| line.expect("Unable to read line")).collect();

    let shared_map = Arc::new(Mutex::new(Vec::new()));

    let mut handles = vec![];
    for i in 0..num_threads {
        let start_index = i * chunk_size as usize;
        let end_index = std::cmp::min((i + 1) * chunk_size as usize, lines.len());
        let lines_chunk = lines[start_index..end_index].to_vec();
        let shared_map_clone = Arc::clone(&shared_map);

        let handle = thread::spawn(move || {
            let mut word_counts = HashMap::new();
            for line in lines_chunk {
                let words: Vec<&str> = line.split_whitespace().collect();
                for word in words {
                    *word_counts.entry(word).or_insert(0) += 1;
                }
            }
            shared_map_clone.lock().unwrap().push(word_counts);
        });

        handles.push(handle);
    }

    for handle in handles {
        handle.join().expect("Thread panicked");
    }

    let results = shared_map.lock().unwrap();
    for word_counts in results.iter() {
        let json_output = format_json_output(word_counts);
        println!("{}", json_output);
    }
}

fn format_json_output(word_counts: &HashMap<&str, u32>) -> String {
    let mut json_output = String::from("{");
    let mut iter = word_counts.iter();

    if let Some((word, count)) = iter.next() {
        json_output.push_str(&format!("\"{}\": {}", word, count));
    }

    for (word, count) in iter {
        json_output.push_str(&format!(", \"{}\": {}", word, count));
    }

    json_output.push('}');
    json_output
}
This program does the following: 1. It opens the file located at "/tmp/file.txt" and reads its contents into a vector of lines. 2. It calculates the chunk size based on the file size and the number of threads (4 in this case). 3. It creates a shared vector (`shared_map`) wrapped in an `Arc` and `Mutex` to store the word count results from each thread. 4. It spawns 4 threads, each responsible for processing a chunk of the file. 5. Each thread splits the lines into words, counts the frequency of each word, and stores the word counts in a HashMap. 6. After all threads have finished, the program retrieves the word count results from the shared vector. 7. It formats each word count HashMap into a JSON dictionary using the `format_json_output` function, which manually constructs the JSON string. 8. Finally, it prints each JSON dictionary to stdout, one per line. To compile and run the program, save it to a file (e.g., `rust_word_count.rs`) and use the following command: 
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rustc rust_word_count.rs
./rust_word_count
Make sure the text file you want to process is located at "/tmp/file.txt" before running the program. Note: This program assumes that the words in the file are separated by whitespace. If your file has a different format or requires additional preprocessing, you may need to modify the code accordingly.

Extract Code

I extracted the following code from that output: 

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

fn main() {
    let file_path = "/tmp/file.txt";
    let num_threads = 4;

    let file = File::open(file_path).expect("Unable to open file");
    let file_size = file.metadata().expect("Unable to get file metadata").len();
    let chunk_size = (file_size / num_threads as u64) + 1;

    let file_reader = BufReader::new(file);
    let lines: Vec<String> = file_reader.lines().map(|line| line.expect("Unable to read line")).collect();

    let shared_map = Arc::new(Mutex::new(Vec::new()));

    let mut handles = vec![];
    for i in 0..num_threads {
        let start_index = i * chunk_size as usize;
        let end_index = std::cmp::min((i + 1) * chunk_size as usize, lines.len());
        let lines_chunk = lines[start_index..end_index].to_vec();
        let shared_map_clone = Arc::clone(&shared_map);

        let handle = thread::spawn(move || {
            let mut word_counts = HashMap::new();
            for line in lines_chunk {
                let words: Vec<&str> = line.split_whitespace().collect();
                for word in words {
                    *word_counts.entry(word).or_insert(0) += 1;
                }
            }
            shared_map_clone.lock().unwrap().push(word_counts);
        });

        handles.push(handle);
    }

    for handle in handles {
        handle.join().expect("Thread panicked");
    }

    let results = shared_map.lock().unwrap();
    for word_counts in results.iter() {
        let json_output = format_json_output(word_counts);
        println!("{}", json_output);
    }
}

fn format_json_output(word_counts: &HashMap<&str, u32>) -> String {
    let mut json_output = String::from("{");
    let mut iter = word_counts.iter();

    if let Some((word, count)) = iter.next() {
        json_output.push_str(&format!("\"{}\": {}", word, count));
    }

    for (word, count) in iter {
        json_output.push_str(&format!(", \"{}\": {}", word, count));
    }

    json_output.push('}');
    json_output
}

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::collections::HashMap; use std::fs::File; use std::io::{BufRead, BufReader}; use std::sync::{Arc, Mutex}; use std::thread; fn main() { let file_path = "/tmp/file.txt"; let num_threads = 4; let file = File::open(file_path).expect("Unable to open file"); let file_size = file.metadata().expect("Unable to get file metadata").len(); let chunk_size = (file_size / num_threads as u64) + 1; let file_reader = BufReader::new(file); let lines: Vec<String> = file_reader.lines().map(|line| line.expect("Unable to read line")).collect(); let shared_map = Arc::new(Mutex::new(Vec::new())); let mut handles = vec![]; for i in 0..num_threads { let start_index = i * chunk_size as usize; let end_index = std::cmp::min((i + 1) * chunk_size as usize, lines.len()); let lines_chunk = lines[start_index..end_index].to_vec(); let shared_map_clone = Arc::clone(&shared_map); let handle = thread::spawn(move || { let mut word_counts = HashMap::new(); for line in lines_chunk { let words: Vec<&str> = line.split_whitespace().collect(); for word in words { *word_counts.entry(word).or_insert(0) += 1; } } shared_map_clone.lock().unwrap().push(word_counts); }); handles.push(handle); } for handle in handles { handle.join().expect("Thread panicked"); } let results = shared_map.lock().unwrap(); for word_counts in results.iter() { let json_output = format_json_output(word_counts); println!("{}", json_output); } } fn format_json_output(word_counts: &HashMap<&str, u32>) -> String { let mut json_output = String::from("{"); let mut iter = word_counts.iter(); if let Some((word, count)) = iter.next() { json_output.push_str(&format!("\"{}\": {}", word, count)); } for (word, count) in iter { json_output.push_str(&format!(", \"{}\": {}", word, count)); } json_output.push('}'); json_output } 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::collections::HashMap;
use std::fs::File;
use std::io::{BufRead, BufReader};
use std::sync::{Arc, Mutex};
use std::thread;

fn main() {
    let file_path = "/tmp/file.txt";
    let num_threads = 4;

    let file = File::open(file_path).expect("Unable to open file");
    let file_size = file.metadata().expect("Unable to get file metadata").len();
    let chunk_size = (file_size / num_threads as u64) + 1;

    let file_reader = BufReader::new(file);
    let lines: Vec<String> = file_reader.lines().map(|line| line.expect("Unable to read line")).collect();

    let shared_map = Arc::new(Mutex::new(Vec::new()));

    let mut handles = vec![];
    for i in 0..num_threads {
        let start_index = i * chunk_size as usize;
        let end_index = std::cmp::min((i + 1) * chunk_size as usize, lines.len());
        let lines_chunk = lines[start_index..end_index].to_vec();
        let shared_map_clone = Arc::clone(&shared_map);

        let handle = thread::spawn(move || {
            let mut word_counts = HashMap::new();
            for line in lines_chunk {
                let words: Vec<&str> = line.split_whitespace().collect();
                for word in words {
                    *word_counts.entry(word).or_insert(0) += 1;
                }
            }
            shared_map_clone.lock().unwrap().push(word_counts);
        });

        handles.push(handle);
    }

    for handle in handles {
        handle.join().expect("Thread panicked");
    }

    let results = shared_map.lock().unwrap();
    for word_counts in results.iter() {
        let json_output = format_json_output(word_counts);
        println!("{}", json_output);
    }
}

fn format_json_output(word_counts: &HashMap<&str, u32>) -> String {
    let mut json_output = String::from("{");
    let mut iter = word_counts.iter();

    if let Some((word, count)) = iter.next() {
        json_output.push_str(&format!("\"{}\": {}", word, count));
    }

    for (word, count) in iter {
        json_output.push_str(&format!(", \"{}\": {}", word, count));
    }

    json_output.push('}');
    json_output
}
And got the output: error[E0597]: `line` does not live long enough --> main.rs:31:40 | 26 | let shared_map_clone = Arc::clone(&shared_map); | ---------------- lifetime `'1` appears in the type of `shared_map_clone` ... 30 | for line in lines_chunk { | ---- binding `line` declared here 31 | let words: Vec<&str> = line.split_whitespace().collect(); | ^^^^ borrowed value does not live long enough ... 35 | } | - `line` dropped here while still borrowed 36 | shared_map_clone.lock().unwrap().push(word_counts); | -------------------------------------------------- argument requires that `line` is borrowed for `'1` error: aborting due to 1 previous error For more information about this error, try `rustc --explain E0597`. main.sh: line 2: ./a.out: No such file or directory

PyFunc

Resulting in output: []

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

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's a self-contained Rust program that counts word frequencies in a text file located at `/tmp/file.txt` using parallel processing on 4 cores: 

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

fn main() {
    let file_path = "/tmp/file.txt";
    let num_threads = 4;

    let file = File::open(file_path).expect("Failed to open file");
    let file_size = file.metadata().expect("Failed to get file metadata").len();
    let chunk_size = (file_size / num_threads as u64) + 1;

    let counter = Arc::new(Mutex::new(Vec::new()));

    let mut threads = Vec::new();
    for i in 0..num_threads {
        let start = i * chunk_size;
        let end = std::cmp::min((i + 1) * chunk_size, file_size);

        let file = File::open(file_path).expect("Failed to open file");
        let counter = Arc::clone(&counter);

        threads.push(thread::spawn(move || {
            let mut word_counts = HashMap::new();
            let reader = BufReader::new(file);

            for line in reader.lines().skip(start as usize).take((end - start) as usize) {
                let line = line.expect("Failed to read line");
                let words = line.split_whitespace();

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

            let mut counter = counter.lock().unwrap();
            counter.push(word_counts);
        }));
    }

    for thread in threads {
        thread.join().expect("Failed to join thread");
    }

    let counter = counter.lock().unwrap();
    for word_counts in counter.iter() {
        print_json(word_counts);
    }
}

fn print_json(word_counts: &HashMap<String, u32>) {
    print!("{{");
    let mut iter = word_counts.iter();
    if let Some((word, count)) = iter.next() {
        print!("\"{}\": {}", escape_json(word), count);
    }
    for (word, count) in iter {
        print!(", \"{}\": {}", escape_json(word), count);
    }
    println!("}}");
}

fn escape_json(s: &str) -> String {
    s.replace('\\', "\\\\")
        .replace('"', "\\\"")
        .replace('\n', "\\n")
        .replace('\r', "\\r")
        .replace('\t', "\\t")
}
This program does the following: 1. It opens the file located at `/tmp/file.txt` and determines the file size. 2. It calculates the chunk size for each thread based on the file size and the number of threads (4 in this case). 3. It creates a shared `counter` vector using `Arc` and `Mutex` to store the word counts from each thread. 4. It spawns 4 threads, each processing a chunk of the file. 5. Each thread reads its assigned chunk of the file, counts the word frequencies, and stores the result in the shared `counter` vector. 6. After all threads have finished, the program retrieves the word counts from the shared `counter` vector. 7. It prints the word counts as JSON objects, one per line, using the custom `print_json` function. The `escape_json` function is used to escape special characters in the JSON output. To compile and run the program, save it to a file (e.g., `rust_word_count.rs`) and use the following commands: 
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./rust_word_count
The program will print the word frequencies as JSON objects, one per line, based on the content of the `/tmp/file.txt` file.

Extract Code

I extracted the following code from that output: 

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

fn main() {
    let file_path = "/tmp/file.txt";
    let num_threads = 4;

    let file = File::open(file_path).expect("Failed to open file");
    let file_size = file.metadata().expect("Failed to get file metadata").len();
    let chunk_size = (file_size / num_threads as u64) + 1;

    let counter = Arc::new(Mutex::new(Vec::new()));

    let mut threads = Vec::new();
    for i in 0..num_threads {
        let start = i * chunk_size;
        let end = std::cmp::min((i + 1) * chunk_size, file_size);

        let file = File::open(file_path).expect("Failed to open file");
        let counter = Arc::clone(&counter);

        threads.push(thread::spawn(move || {
            let mut word_counts = HashMap::new();
            let reader = BufReader::new(file);

            for line in reader.lines().skip(start as usize).take((end - start) as usize) {
                let line = line.expect("Failed to read line");
                let words = line.split_whitespace();

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

            let mut counter = counter.lock().unwrap();
            counter.push(word_counts);
        }));
    }

    for thread in threads {
        thread.join().expect("Failed to join thread");
    }

    let counter = counter.lock().unwrap();
    for word_counts in counter.iter() {
        print_json(word_counts);
    }
}

fn print_json(word_counts: &HashMap<String, u32>) {
    print!("{{");
    let mut iter = word_counts.iter();
    if let Some((word, count)) = iter.next() {
        print!("\"{}\": {}", escape_json(word), count);
    }
    for (word, count) in iter {
        print!(", \"{}\": {}", escape_json(word), count);
    }
    println!("}}");
}

fn escape_json(s: &str) -> String {
    s.replace('\\', "\\\\")
        .replace('"', "\\\"")
        .replace('\n', "\\n")
        .replace('\r', "\\r")
        .replace('\t', "\\t")
}

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::collections::HashMap; use std::fs::File; use std::io::{BufRead, BufReader}; use std::sync::{Arc, Mutex}; use std::thread; fn main() { let file_path = "/tmp/file.txt"; let num_threads = 4; let file = File::open(file_path).expect("Failed to open file"); let file_size = file.metadata().expect("Failed to get file metadata").len(); let chunk_size = (file_size / num_threads as u64) + 1; let counter = Arc::new(Mutex::new(Vec::new())); let mut threads = Vec::new(); for i in 0..num_threads { let start = i * chunk_size; let end = std::cmp::min((i + 1) * chunk_size, file_size); let file = File::open(file_path).expect("Failed to open file"); let counter = Arc::clone(&counter); threads.push(thread::spawn(move || { let mut word_counts = HashMap::new(); let reader = BufReader::new(file); for line in reader.lines().skip(start as usize).take((end - start) as usize) { let line = line.expect("Failed to read line"); let words = line.split_whitespace(); for word in words { *word_counts.entry(word.to_string()).or_insert(0) += 1; } } let mut counter = counter.lock().unwrap(); counter.push(word_counts); })); } for thread in threads { thread.join().expect("Failed to join thread"); } let counter = counter.lock().unwrap(); for word_counts in counter.iter() { print_json(word_counts); } } fn print_json(word_counts: &HashMap<String, u32>) { print!("{{"); let mut iter = word_counts.iter(); if let Some((word, count)) = iter.next() { print!("\"{}\": {}", escape_json(word), count); } for (word, count) in iter { print!(", \"{}\": {}", escape_json(word), count); } println!("}}"); } fn escape_json(s: &str) -> String { s.replace('\\', "\\\\") .replace('"', "\\\"") .replace('\n', "\\n") .replace('\r', "\\r") .replace('\t', "\\t") } 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::collections::HashMap;
use std::fs::File;
use std::io::{BufRead, BufReader};
use std::sync::{Arc, Mutex};
use std::thread;

fn main() {
    let file_path = "/tmp/file.txt";
    let num_threads = 4;

    let file = File::open(file_path).expect("Failed to open file");
    let file_size = file.metadata().expect("Failed to get file metadata").len();
    let chunk_size = (file_size / num_threads as u64) + 1;

    let counter = Arc::new(Mutex::new(Vec::new()));

    let mut threads = Vec::new();
    for i in 0..num_threads {
        let start = i * chunk_size;
        let end = std::cmp::min((i + 1) * chunk_size, file_size);

        let file = File::open(file_path).expect("Failed to open file");
        let counter = Arc::clone(&counter);

        threads.push(thread::spawn(move || {
            let mut word_counts = HashMap::new();
            let reader = BufReader::new(file);

            for line in reader.lines().skip(start as usize).take((end - start) as usize) {
                let line = line.expect("Failed to read line");
                let words = line.split_whitespace();

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

            let mut counter = counter.lock().unwrap();
            counter.push(word_counts);
        }));
    }

    for thread in threads {
        thread.join().expect("Failed to join thread");
    }

    let counter = counter.lock().unwrap();
    for word_counts in counter.iter() {
        print_json(word_counts);
    }
}

fn print_json(word_counts: &HashMap<String, u32>) {
    print!("{{");
    let mut iter = word_counts.iter();
    if let Some((word, count)) = iter.next() {
        print!("\"{}\": {}", escape_json(word), count);
    }
    for (word, count) in iter {
        print!(", \"{}\": {}", escape_json(word), count);
    }
    println!("}}");
}

fn escape_json(s: &str) -> String {
    s.replace('\\', "\\\\")
        .replace('"', "\\\"")
        .replace('\n', "\\n")
        .replace('\r', "\\r")
        .replace('\t', "\\t")
}
And got the output: {} {} {} {"we": 4, "before": 2, "foolishness,": 1, "were": 2, "times,": 2, "other": 1, "belief,": 1, "it": 10, "best": 1, "the": 11, "hope,": 1, "all": 2, "Heaven,": 1, "season": 2, "Darkness,": 1, "epoch": 2, "Light,": 1, "spring": 1, "of": 10, "incredulity,": 1, "worst": 1, "had": 2, "everything": 1, "us,": 2, "way": 1, "winter": 1, "despair,": 1, "wisdom,": 1, "to": 1, "was": 10, "age": 2, "going": 2, "direct": 2, "nothing": 1}

PyFunc

Resulting in output: [('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)]

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)]: True

Final Answer: 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. 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's a self-contained Rust program that meets your requirements: 

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

fn main() {
    let file_path = "/tmp/file.txt";
    let num_threads = 4;

    let file = File::open(file_path).expect("Failed to open file");
    let file_size = file.metadata().expect("Failed to get file metadata").len();
    let chunk_size = (file_size as usize + num_threads - 1) / num_threads;

    let reader = BufReader::new(file);
    let lines: Vec<String> = reader.lines().map(|line| line.expect("Failed to read line")).collect();

    let shared_lines = Arc::new(lines);

    let mut handles = Vec::new();

    for i in 0..num_threads {
        let lines = Arc::clone(&shared_lines);
        let handle = thread::spawn(move || {
            let start = i * chunk_size;
            let end = std::cmp::min((i + 1) * chunk_size, lines.len());

            let mut word_count = HashMap::new();

            for line in lines[start..end].iter() {
                for word in line.split_whitespace() {
                    *word_count.entry(word.to_string()).or_insert(0) += 1;
                }
            }

            println!("{}", to_json(&word_count));
        });

        handles.push(handle);
    }

    for handle in handles {
        handle.join().expect("Thread panicked");
    }
}

fn to_json(word_count: &HashMap<String, usize>) -> String {
    let mut json = String::from("{");

    for (i, (word, count)) in word_count.iter().enumerate() {
        json.push_str(&format!("\"{}\": {}", word, count));

        if i < word_count.len() - 1 {
            json.push_str(", ");
        }
    }

    json.push('}');

    json
}
This program does the following: 1. It opens the file located at "/tmp/file.txt" and reads its contents into a vector of strings, with each line as a separate string. 2. It calculates the chunk size based on the file size and the number of threads (4 in this case). 3. It creates 4 threads, each responsible for processing a portion of the lines. 4. Each thread counts the occurrences of words in its assigned chunk of lines and stores the word counts in a HashMap. 5. After processing its chunk, each thread prints its word count HashMap as a JSON string to stdout using the `to_json` function. 6. The `to_json` function manually constructs the JSON string by iterating over the key-value pairs in the HashMap and formatting them appropriately. 7. The main thread waits for all the worker threads to complete using `join()`. To compile and run the program, save it to a file (e.g., `rust_word_count.rs`) and use the following command: 
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rustc rust_word_count.rs
./rust_word_count
The program will output 4 JSON dictionaries, one per line, representing the word counts for each chunk processed by the threads. You can then merge these dictionaries as needed. Note: This program assumes that the input file is relatively small and can be read into memory entirely. For larger files, you might need to modify the approach to read the file in chunks instead of loading it all into memory at once.

Extract Code

I extracted the following code from that output: 

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

fn main() {
    let file_path = "/tmp/file.txt";
    let num_threads = 4;

    let file = File::open(file_path).expect("Failed to open file");
    let file_size = file.metadata().expect("Failed to get file metadata").len();
    let chunk_size = (file_size as usize + num_threads - 1) / num_threads;

    let reader = BufReader::new(file);
    let lines: Vec<String> = reader.lines().map(|line| line.expect("Failed to read line")).collect();

    let shared_lines = Arc::new(lines);

    let mut handles = Vec::new();

    for i in 0..num_threads {
        let lines = Arc::clone(&shared_lines);
        let handle = thread::spawn(move || {
            let start = i * chunk_size;
            let end = std::cmp::min((i + 1) * chunk_size, lines.len());

            let mut word_count = HashMap::new();

            for line in lines[start..end].iter() {
                for word in line.split_whitespace() {
                    *word_count.entry(word.to_string()).or_insert(0) += 1;
                }
            }

            println!("{}", to_json(&word_count));
        });

        handles.push(handle);
    }

    for handle in handles {
        handle.join().expect("Thread panicked");
    }
}

fn to_json(word_count: &HashMap<String, usize>) -> String {
    let mut json = String::from("{");

    for (i, (word, count)) in word_count.iter().enumerate() {
        json.push_str(&format!("\"{}\": {}", word, count));

        if i < word_count.len() - 1 {
            json.push_str(", ");
        }
    }

    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::{BufRead, BufReader}; use std::collections::HashMap; use std::thread; use std::sync::Arc; fn main() { let file_path = "/tmp/file.txt"; let num_threads = 4; let file = File::open(file_path).expect("Failed to open file"); let file_size = file.metadata().expect("Failed to get file metadata").len(); let chunk_size = (file_size as usize + num_threads - 1) / num_threads; let reader = BufReader::new(file); let lines: Vec<String> = reader.lines().map(|line| line.expect("Failed to read line")).collect(); let shared_lines = Arc::new(lines); let mut handles = Vec::new(); for i in 0..num_threads { let lines = Arc::clone(&shared_lines); let handle = thread::spawn(move || { let start = i * chunk_size; let end = std::cmp::min((i + 1) * chunk_size, lines.len()); let mut word_count = HashMap::new(); for line in lines[start..end].iter() { for word in line.split_whitespace() { *word_count.entry(word.to_string()).or_insert(0) += 1; } } println!("{}", to_json(&word_count)); }); handles.push(handle); } for handle in handles { handle.join().expect("Thread panicked"); } } fn to_json(word_count: &HashMap<String, usize>) -> String { let mut json = String::from("{"); for (i, (word, count)) in word_count.iter().enumerate() { json.push_str(&format!("\"{}\": {}", word, count)); if i < word_count.len() - 1 { json.push_str(", "); } } 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::{BufRead, BufReader};
use std::collections::HashMap;
use std::thread;
use std::sync::Arc;

fn main() {
    let file_path = "/tmp/file.txt";
    let num_threads = 4;

    let file = File::open(file_path).expect("Failed to open file");
    let file_size = file.metadata().expect("Failed to get file metadata").len();
    let chunk_size = (file_size as usize + num_threads - 1) / num_threads;

    let reader = BufReader::new(file);
    let lines: Vec<String> = reader.lines().map(|line| line.expect("Failed to read line")).collect();

    let shared_lines = Arc::new(lines);

    let mut handles = Vec::new();

    for i in 0..num_threads {
        let lines = Arc::clone(&shared_lines);
        let handle = thread::spawn(move || {
            let start = i * chunk_size;
            let end = std::cmp::min((i + 1) * chunk_size, lines.len());

            let mut word_count = HashMap::new();

            for line in lines[start..end].iter() {
                for word in line.split_whitespace() {
                    *word_count.entry(word.to_string()).or_insert(0) += 1;
                }
            }

            println!("{}", to_json(&word_count));
        });

        handles.push(handle);
    }

    for handle in handles {
        handle.join().expect("Thread panicked");
    }
}

fn to_json(word_count: &HashMap<String, usize>) -> String {
    let mut json = String::from("{");

    for (i, (word, count)) in word_count.iter().enumerate() {
        json.push_str(&format!("\"{}\": {}", word, count));

        if i < word_count.len() - 1 {
            json.push_str(", ");
        }
    }

    json.push('}');

    json
}
And got the output: {"were": 2, "Heaven,": 1, "way": 1, "Darkness,": 1, "age": 2, "us,": 2, "incredulity,": 1, "despair,": 1, "other": 1, "times,": 2, "Light,": 1, "epoch": 2, "wisdom,": 1, "spring": 1, "going": 2, "all": 2, "foolishness,": 1, "worst": 1, "hope,": 1, "it": 10, "best": 1, "everything": 1, "we": 4, "direct": 2, "was": 10, "of": 10, "had": 2, "nothing": 1, "before": 2, "to": 1, "belief,": 1, "winter": 1, "season": 2, "the": 11} thread '<unnamed>' panicked at main.rs:31:30: slice index starts at 104 but ends at 1 note: run with `RUST_BACKTRACE=1` environment variable to display a backtrace thread '<unnamed>' panicked at main.rs:31:30: slice index starts at 208 but ends at 1 thread '<unnamed>' panicked at main.rs:31:30: slice index starts at 312 but ends at 1 thread 'main' panicked at main.rs:44:23: Thread panicked: Any { .. }

PyFunc

Resulting in output: [('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)]

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)]: True

Final Answer: True