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.

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.

Output

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

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

fn main() {
    let file = File::open("/tmp/file.txt").expect("Failed to open file");
    let reader = BufReader::new(file);
    let lines: Vec<String> = reader.lines().map(|l| l.expect("Failed to read line")).collect();

    let chunk_size = (lines.len() + 3) / 4;
    let chunks: Vec<Vec<String>> = lines.chunks(chunk_size).map(|c| c.to_vec()).collect();

    let results: Arc<Mutex<Vec<HashMap<String, usize>>>> = Arc::new(Mutex::new(Vec::new()));

    let mut handles = vec![];

    for chunk in chunks {
        let results = Arc::clone(&results);
        let handle = thread::spawn(move || {
            let mut word_count = HashMap::new();
            for line in chunk {
                for word in line.split_whitespace() {
                    *word_count.entry(word.to_string()).or_insert(0) += 1;
                }
            }
            results.lock().unwrap().push(word_count);
        });
        handles.push(handle);
    }

    for handle in handles {
        handle.join().unwrap();
    }

    for result in results.lock().unwrap().iter() {
        println!("{}", serde_json::to_string(result).unwrap());
    }
}

// A simple JSON serializer implementation
mod serde_json {
    use std::collections::HashMap;

    pub fn to_string(map: &HashMap<String, usize>) -> Result<String, std::fmt::Error> {
        let mut output = String::from("{");
        for (i, (key, value)) in map.iter().enumerate() {
            if i > 0 {
                output.push_str(", ");
            }
            output.push_str(&format!("\"{}\": {}", key, value));
        }
        output.push('}');
        Ok(output)
    }
}
This program does the following: 1. It reads the content of `/tmp/file.txt` into memory. 2. It divides the lines into 4 roughly equal chunks. 3. It spawns 4 threads, each processing one chunk of the file. 4. Each thread counts the words in its chunk and stores the result in a `HashMap`. 5. The results from all threads are collected into a vector. 6. Finally, it prints each thread's result as a JSON string, one per line. To compile and run this program: 1. Save the code to a file, e.g., `word_count.rs` 2. Compile it with: `rustc word_count.rs` 3. Run the compiled program: `./word_count` This program doesn't use any external crates, so it can be compiled directly with `rustc`. It includes a simple JSON serializer to avoid dependencies. Note that this program assumes that the input file exists and is readable. If the file is very large, reading it entirely into memory might not be the best approach, but for most typical use cases, this should work fine.

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

fn main() {
    let file = File::open("/tmp/file.txt").expect("Failed to open file");
    let reader = BufReader::new(file);
    let lines: Vec<String> = reader.lines().map(|l| l.expect("Failed to read line")).collect();

    let chunk_size = (lines.len() + 3) / 4;
    let chunks: Vec<Vec<String>> = lines.chunks(chunk_size).map(|c| c.to_vec()).collect();

    let results: Arc<Mutex<Vec<HashMap<String, usize>>>> = Arc::new(Mutex::new(Vec::new()));

    let mut handles = vec![];

    for chunk in chunks {
        let results = Arc::clone(&results);
        let handle = thread::spawn(move || {
            let mut word_count = HashMap::new();
            for line in chunk {
                for word in line.split_whitespace() {
                    *word_count.entry(word.to_string()).or_insert(0) += 1;
                }
            }
            results.lock().unwrap().push(word_count);
        });
        handles.push(handle);
    }

    for handle in handles {
        handle.join().unwrap();
    }

    for result in results.lock().unwrap().iter() {
        println!("{}", serde_json::to_string(result).unwrap());
    }
}

// A simple JSON serializer implementation
mod serde_json {
    use std::collections::HashMap;

    pub fn to_string(map: &HashMap<String, usize>) -> Result<String, std::fmt::Error> {
        let mut output = String::from("{");
        for (i, (key, value)) in map.iter().enumerate() {
            if i > 0 {
                output.push_str(", ");
            }
            output.push_str(&format!("\"{}\": {}", key, value));
        }
        output.push('}');
        Ok(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::fs::File; use std::io::{BufRead, BufReader}; use std::collections::HashMap; use std::thread; use std::sync::{Arc, Mutex}; fn main() { let file = File::open("/tmp/file.txt").expect("Failed to open file"); let reader = BufReader::new(file); let lines: Vec<String> = reader.lines().map(|l| l.expect("Failed to read line")).collect(); let chunk_size = (lines.len() + 3) / 4; let chunks: Vec<Vec<String>> = lines.chunks(chunk_size).map(|c| c.to_vec()).collect(); let results: Arc<Mutex<Vec<HashMap<String, usize>>>> = Arc::new(Mutex::new(Vec::new())); let mut handles = vec![]; for chunk in chunks { let results = Arc::clone(&results); let handle = thread::spawn(move || { let mut word_count = HashMap::new(); for line in chunk { for word in line.split_whitespace() { *word_count.entry(word.to_string()).or_insert(0) += 1; } } results.lock().unwrap().push(word_count); }); handles.push(handle); } for handle in handles { handle.join().unwrap(); } for result in results.lock().unwrap().iter() { println!("{}", serde_json::to_string(result).unwrap()); } } // A simple JSON serializer implementation mod serde_json { use std::collections::HashMap; pub fn to_string(map: &HashMap<String, usize>) -> Result<String, std::fmt::Error> { let mut output = String::from("{"); for (i, (key, value)) in map.iter().enumerate() { if i > 0 { output.push_str(", "); } output.push_str(&format!("\"{}\": {}", key, value)); } output.push('}'); Ok(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: 

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

fn main() {
    let file = File::open("/tmp/file.txt").expect("Failed to open file");
    let reader = BufReader::new(file);
    let lines: Vec<String> = reader.lines().map(|l| l.expect("Failed to read line")).collect();

    let chunk_size = (lines.len() + 3) / 4;
    let chunks: Vec<Vec<String>> = lines.chunks(chunk_size).map(|c| c.to_vec()).collect();

    let results: Arc<Mutex<Vec<HashMap<String, usize>>>> = Arc::new(Mutex::new(Vec::new()));

    let mut handles = vec![];

    for chunk in chunks {
        let results = Arc::clone(&results);
        let handle = thread::spawn(move || {
            let mut word_count = HashMap::new();
            for line in chunk {
                for word in line.split_whitespace() {
                    *word_count.entry(word.to_string()).or_insert(0) += 1;
                }
            }
            results.lock().unwrap().push(word_count);
        });
        handles.push(handle);
    }

    for handle in handles {
        handle.join().unwrap();
    }

    for result in results.lock().unwrap().iter() {
        println!("{}", serde_json::to_string(result).unwrap());
    }
}

// A simple JSON serializer implementation
mod serde_json {
    use std::collections::HashMap;

    pub fn to_string(map: &HashMap<String, usize>) -> Result<String, std::fmt::Error> {
        let mut output = String::from("{");
        for (i, (key, value)) in map.iter().enumerate() {
            if i > 0 {
                output.push_str(", ");
            }
            output.push_str(&format!("\"{}\": {}", key, value));
        }
        output.push('}');
        Ok(output)
    }
}
And got the output: {"other": 1, "was": 10, "everything": 1, "spring": 1, "we": 4, "hope,": 1, "it": 10, "wisdom,": 1, "nothing": 1, "age": 2, "had": 2, "Light,": 1, "going": 2, "before": 2, "of": 10, "all": 2, "foolishness,": 1, "us,": 2, "way": 1, "winter": 1, "the": 11, "Darkness,": 1, "despair,": 1, "incredulity,": 1, "were": 2, "belief,": 1, "worst": 1, "Heaven,": 1, "times,": 2, "season": 2, "epoch": 2, "best": 1, "to": 1, "direct": 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), ('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.

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.

Output

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

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

fn main() {
    let file = File::open("/tmp/file.txt").expect("Failed to open file");
    let file_size = file.metadata().expect("Failed to get file metadata").len();
    let chunk_size = file_size / 4;

    let results: Arc<Mutex<Vec<HashMap<String, usize>>>> = Arc::new(Mutex::new(Vec::new()));
    let mut handles = vec![];

    for i in 0..4 {
        let start = i as u64 * chunk_size;
        let end = if i == 3 { file_size } else { (i + 1) as u64 * chunk_size };
        let file = file.try_clone().expect("Failed to clone file");
        let results = Arc::clone(&results);

        let handle = thread::spawn(move || {
            let mut reader = BufReader::new(file);
            reader.seek(SeekFrom::Start(start)).expect("Failed to seek");
            let mut word_count = HashMap::new();

            let mut line = String::new();
            while reader.read_line(&mut line).expect("Failed to read line") > 0 {
                if reader.stream_position().expect("Failed to get position") > end && !line.is_empty() {
                    break;
                }
                for word in line.split_whitespace() {
                    *word_count.entry(word.to_string()).or_insert(0) += 1;
                }
                line.clear();
            }

            results.lock().unwrap().push(word_count);
        });
        handles.push(handle);
    }

    for handle in handles {
        handle.join().unwrap();
    }

    let results = results.lock().unwrap();
    for word_count in results.iter() {
        println!("{}", serde_json::to_string(&word_count).unwrap());
    }
}

// Simple JSON serialization function
mod serde_json {
    use std::collections::HashMap;

    pub fn to_string(map: &HashMap<String, usize>) -> Result<String, std::fmt::Error> {
        let mut result = String::from("{");
        for (i, (key, value)) in map.iter().enumerate() {
            if i > 0 {
                result.push_str(", ");
            }
            result.push_str(&format!("\"{}\": {}", key, value));
        }
        result.push('}');
        Ok(result)
    }
}
This program does the following: 1. Opens the file at `/tmp/file.txt`. 2. Calculates the file size and divides it into 4 chunks. 3. Creates 4 threads, each processing approximately 1/4 of the file. 4. Each thread counts word occurrences in its chunk and stores the result in a shared vector. 5. After all threads complete, the program prints the JSON representation of each thread's word count, one per line. To compile and run the program: 1. Save the code to a file, e.g., `word_count.rs`. 2. Compile it with `rustc word_count.rs`. 3. Run the resulting executable with no arguments. Note that this program doesn't use any external crates and can be compiled with just `rustc`. It includes a simple JSON serialization function to avoid dependencies. The output will be 4 lines of JSON, each representing the word count for a chunk of the file. You'll need to merge these results to get the final word count for the entire file.

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

fn main() {
    let file = File::open("/tmp/file.txt").expect("Failed to open file");
    let file_size = file.metadata().expect("Failed to get file metadata").len();
    let chunk_size = file_size / 4;

    let results: Arc<Mutex<Vec<HashMap<String, usize>>>> = Arc::new(Mutex::new(Vec::new()));
    let mut handles = vec![];

    for i in 0..4 {
        let start = i as u64 * chunk_size;
        let end = if i == 3 { file_size } else { (i + 1) as u64 * chunk_size };
        let file = file.try_clone().expect("Failed to clone file");
        let results = Arc::clone(&results);

        let handle = thread::spawn(move || {
            let mut reader = BufReader::new(file);
            reader.seek(SeekFrom::Start(start)).expect("Failed to seek");
            let mut word_count = HashMap::new();

            let mut line = String::new();
            while reader.read_line(&mut line).expect("Failed to read line") > 0 {
                if reader.stream_position().expect("Failed to get position") > end && !line.is_empty() {
                    break;
                }
                for word in line.split_whitespace() {
                    *word_count.entry(word.to_string()).or_insert(0) += 1;
                }
                line.clear();
            }

            results.lock().unwrap().push(word_count);
        });
        handles.push(handle);
    }

    for handle in handles {
        handle.join().unwrap();
    }

    let results = results.lock().unwrap();
    for word_count in results.iter() {
        println!("{}", serde_json::to_string(&word_count).unwrap());
    }
}

// Simple JSON serialization function
mod serde_json {
    use std::collections::HashMap;

    pub fn to_string(map: &HashMap<String, usize>) -> Result<String, std::fmt::Error> {
        let mut result = String::from("{");
        for (i, (key, value)) in map.iter().enumerate() {
            if i > 0 {
                result.push_str(", ");
            }
            result.push_str(&format!("\"{}\": {}", key, value));
        }
        result.push('}');
        Ok(result)
    }
}

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, Seek, SeekFrom}; use std::sync::{Arc, Mutex}; use std::thread; fn main() { let file = File::open("/tmp/file.txt").expect("Failed to open file"); let file_size = file.metadata().expect("Failed to get file metadata").len(); let chunk_size = file_size / 4; let results: Arc<Mutex<Vec<HashMap<String, usize>>>> = Arc::new(Mutex::new(Vec::new())); let mut handles = vec![]; for i in 0..4 { let start = i as u64 * chunk_size; let end = if i == 3 { file_size } else { (i + 1) as u64 * chunk_size }; let file = file.try_clone().expect("Failed to clone file"); let results = Arc::clone(&results); let handle = thread::spawn(move || { let mut reader = BufReader::new(file); reader.seek(SeekFrom::Start(start)).expect("Failed to seek"); let mut word_count = HashMap::new(); let mut line = String::new(); while reader.read_line(&mut line).expect("Failed to read line") > 0 { if reader.stream_position().expect("Failed to get position") > end && !line.is_empty() { break; } for word in line.split_whitespace() { *word_count.entry(word.to_string()).or_insert(0) += 1; } line.clear(); } results.lock().unwrap().push(word_count); }); handles.push(handle); } for handle in handles { handle.join().unwrap(); } let results = results.lock().unwrap(); for word_count in results.iter() { println!("{}", serde_json::to_string(&word_count).unwrap()); } } // Simple JSON serialization function mod serde_json { use std::collections::HashMap; pub fn to_string(map: &HashMap<String, usize>) -> Result<String, std::fmt::Error> { let mut result = String::from("{"); for (i, (key, value)) in map.iter().enumerate() { if i > 0 { result.push_str(", "); } result.push_str(&format!("\"{}\": {}", key, value)); } result.push('}'); Ok(result) } } 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: 

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

fn main() {
    let file = File::open("/tmp/file.txt").expect("Failed to open file");
    let file_size = file.metadata().expect("Failed to get file metadata").len();
    let chunk_size = file_size / 4;

    let results: Arc<Mutex<Vec<HashMap<String, usize>>>> = Arc::new(Mutex::new(Vec::new()));
    let mut handles = vec![];

    for i in 0..4 {
        let start = i as u64 * chunk_size;
        let end = if i == 3 { file_size } else { (i + 1) as u64 * chunk_size };
        let file = file.try_clone().expect("Failed to clone file");
        let results = Arc::clone(&results);

        let handle = thread::spawn(move || {
            let mut reader = BufReader::new(file);
            reader.seek(SeekFrom::Start(start)).expect("Failed to seek");
            let mut word_count = HashMap::new();

            let mut line = String::new();
            while reader.read_line(&mut line).expect("Failed to read line") > 0 {
                if reader.stream_position().expect("Failed to get position") > end && !line.is_empty() {
                    break;
                }
                for word in line.split_whitespace() {
                    *word_count.entry(word.to_string()).or_insert(0) += 1;
                }
                line.clear();
            }

            results.lock().unwrap().push(word_count);
        });
        handles.push(handle);
    }

    for handle in handles {
        handle.join().unwrap();
    }

    let results = results.lock().unwrap();
    for word_count in results.iter() {
        println!("{}", serde_json::to_string(&word_count).unwrap());
    }
}

// Simple JSON serialization function
mod serde_json {
    use std::collections::HashMap;

    pub fn to_string(map: &HashMap<String, usize>) -> Result<String, std::fmt::Error> {
        let mut result = String::from("{");
        for (i, (key, value)) in map.iter().enumerate() {
            if i > 0 {
                result.push_str(", ");
            }
            result.push_str(&format!("\"{}\": {}", key, value));
        }
        result.push('}');
        Ok(result)
    }
}
And got the output: {} {} {} {"before": 1, "nothing": 1, "were": 2, "going": 2, "direct": 2, "had": 1, "us,": 2, "Heaven,": 1, "the": 1, "to": 1, "other": 1, "way": 1, "all": 2, "we": 3}

PyFunc

Resulting in output: [('Heaven,', 1), ('all', 2), ('before', 1), ('direct', 2), ('going', 2), ('had', 1), ('nothing', 1), ('other', 1), ('the', 1), ('to', 1), ('us,', 2), ('way', 1), ('we', 3), ('were', 2)]

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.

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.

Output

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

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

fn main() {
    let file = File::open("/tmp/file.txt").expect("Failed to open file");
    let file_size = file.metadata().expect("Failed to get metadata").len();
    let chunk_size = file_size / 4;

    let shared_file = Arc::new(Mutex::new(file));
    let mut handles = vec![];

    for i in 0..4 {
        let shared_file = Arc::clone(&shared_file);
        let handle = thread::spawn(move || {
            let mut word_counts = HashMap::new();
            let start = i * chunk_size;
            let end = if i == 3 { file_size } else { (i + 1) * chunk_size };

            let mut file = shared_file.lock().unwrap();
            file.seek(SeekFrom::Start(start)).unwrap();
            let reader = BufReader::new(file);

            let mut bytes_read = 0;
            for line in reader.lines() {
                let line = line.unwrap();
                for word in line.split_whitespace() {
                    *word_counts.entry(word.to_string()).or_insert(0) += 1;
                }
                bytes_read += line.len() as u64 + 1; // +1 for newline
                if bytes_read >= end - start {
                    break;
                }
            }

            // Convert HashMap to JSON-like string
            let json_output = word_counts.iter()
                .map(|(k, v)| format!("\"{}\": {}", k, v))
                .collect::<Vec<String>>()
                .join(", ");
            format!("{{{}}}", json_output)
        });
        handles.push(handle);
    }

    for handle in handles {
        println!("{}", handle.join().unwrap());
    }
}
This program does the following: 1. It opens the file "/tmp/file.txt". 2. It calculates the size of the file and divides it into 4 chunks. 3. It spawns 4 threads, each processing approximately 1/4 of the file. 4. Each thread creates a `HashMap` to count word occurrences in its chunk. 5. The threads use a shared file handle protected by a mutex to read from different parts of the file. 6. Each thread processes its chunk of the file, counting word occurrences. 7. After processing, each thread converts its `HashMap` into a JSON-like string. 8. The main thread waits for all worker threads to finish and prints their results, one per line. To compile and run this program: 1. Save it to a file, e.g., `word_count.rs` 2. Compile it with `rustc word_count.rs` 3. Run the resulting executable: `./word_count` This program will output 4 JSON-like strings, one per line, representing the word counts for each quarter of the file. You'll need to merge these results yourself to get the final count for the entire file. Note that this approach may split words that occur at chunk boundaries, potentially leading to slight inaccuracies in the word count. For a more accurate count, you might need to implement a more sophisticated chunking method that respects word boundaries.

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

fn main() {
    let file = File::open("/tmp/file.txt").expect("Failed to open file");
    let file_size = file.metadata().expect("Failed to get metadata").len();
    let chunk_size = file_size / 4;

    let shared_file = Arc::new(Mutex::new(file));
    let mut handles = vec![];

    for i in 0..4 {
        let shared_file = Arc::clone(&shared_file);
        let handle = thread::spawn(move || {
            let mut word_counts = HashMap::new();
            let start = i * chunk_size;
            let end = if i == 3 { file_size } else { (i + 1) * chunk_size };

            let mut file = shared_file.lock().unwrap();
            file.seek(SeekFrom::Start(start)).unwrap();
            let reader = BufReader::new(file);

            let mut bytes_read = 0;
            for line in reader.lines() {
                let line = line.unwrap();
                for word in line.split_whitespace() {
                    *word_counts.entry(word.to_string()).or_insert(0) += 1;
                }
                bytes_read += line.len() as u64 + 1; // +1 for newline
                if bytes_read >= end - start {
                    break;
                }
            }

            // Convert HashMap to JSON-like string
            let json_output = word_counts.iter()
                .map(|(k, v)| format!("\"{}\": {}", k, v))
                .collect::<Vec<String>>()
                .join(", ");
            format!("{{{}}}", json_output)
        });
        handles.push(handle);
    }

    for handle in handles {
        println!("{}", handle.join().unwrap());
    }
}

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, Seek, SeekFrom}; use std::sync::{Arc, Mutex}; use std::thread; fn main() { let file = File::open("/tmp/file.txt").expect("Failed to open file"); let file_size = file.metadata().expect("Failed to get metadata").len(); let chunk_size = file_size / 4; let shared_file = Arc::new(Mutex::new(file)); let mut handles = vec![]; for i in 0..4 { let shared_file = Arc::clone(&shared_file); let handle = thread::spawn(move || { let mut word_counts = HashMap::new(); let start = i * chunk_size; let end = if i == 3 { file_size } else { (i + 1) * chunk_size }; let mut file = shared_file.lock().unwrap(); file.seek(SeekFrom::Start(start)).unwrap(); let reader = BufReader::new(file); let mut bytes_read = 0; for line in reader.lines() { let line = line.unwrap(); for word in line.split_whitespace() { *word_counts.entry(word.to_string()).or_insert(0) += 1; } bytes_read += line.len() as u64 + 1; // +1 for newline if bytes_read >= end - start { break; } } // Convert HashMap to JSON-like string let json_output = word_counts.iter() .map(|(k, v)| format!("\"{}\": {}", k, v)) .collect::<Vec<String>>() .join(", "); format!("{{{}}}", json_output) }); handles.push(handle); } for handle in handles { println!("{}", handle.join().unwrap()); } } 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: 

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

fn main() {
    let file = File::open("/tmp/file.txt").expect("Failed to open file");
    let file_size = file.metadata().expect("Failed to get metadata").len();
    let chunk_size = file_size / 4;

    let shared_file = Arc::new(Mutex::new(file));
    let mut handles = vec![];

    for i in 0..4 {
        let shared_file = Arc::clone(&shared_file);
        let handle = thread::spawn(move || {
            let mut word_counts = HashMap::new();
            let start = i * chunk_size;
            let end = if i == 3 { file_size } else { (i + 1) * chunk_size };

            let mut file = shared_file.lock().unwrap();
            file.seek(SeekFrom::Start(start)).unwrap();
            let reader = BufReader::new(file);

            let mut bytes_read = 0;
            for line in reader.lines() {
                let line = line.unwrap();
                for word in line.split_whitespace() {
                    *word_counts.entry(word.to_string()).or_insert(0) += 1;
                }
                bytes_read += line.len() as u64 + 1; // +1 for newline
                if bytes_read >= end - start {
                    break;
                }
            }

            // Convert HashMap to JSON-like string
            let json_output = word_counts.iter()
                .map(|(k, v)| format!("\"{}\": {}", k, v))
                .collect::<Vec<String>>()
                .join(", ");
            format!("{{{}}}", json_output)
        });
        handles.push(handle);
    }

    for handle in handles {
        println!("{}", handle.join().unwrap());
    }
}
And got the output: error[E0277]: the trait bound `MutexGuard<'_, File>: std::io::Read` is not satisfied --> main.rs:25:41 | 25 | let reader = BufReader::new(file); | -------------- ^^^^ the trait `std::io::Read` is not implemented for `MutexGuard<'_, File>` | | | required by a bound introduced by this call | note: required by a bound in `BufReader::<R>::new` --> /rustc/9b00956e56009bab2aa15d7bff10916599e3d6d6/library/std/src/io/buffered/bufreader.rs:72:5 error[E0599]: the method `lines` exists for struct `BufReader<MutexGuard<'_, File>>`, but its trait bounds were not satisfied --> main.rs:28:32 | 28 | for line in reader.lines() { | ^^^^^ method cannot be called on `BufReader<MutexGuard<'_, File>>` due to unsatisfied trait bounds | = note: the following trait bounds were not satisfied: `MutexGuard<'_, File>: std::io::Read` which is required by `BufReader<MutexGuard<'_, File>>: BufRead` `BufReader<MutexGuard<'_, File>>: BufRead` which is required by `&mut BufReader<MutexGuard<'_, File>>: BufRead` warning: unused import: `BufRead` --> main.rs:4:15 | 4 | use std::io::{BufRead, BufReader, Seek, SeekFrom}; | ^^^^^^^ | = note: `#[warn(unused_imports)]` on by default error: aborting due to 2 previous errors; 1 warning emitted Some errors have detailed explanations: E0277, E0599. For more information about an error, try `rustc --explain E0277`. 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.

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.

Output

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

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

fn main() {
    let file = File::open("/tmp/file.txt").expect("Failed to open file");
    let file_size = file.metadata().expect("Failed to get file metadata").len();
    let chunk_size = file_size / 4;

    let shared_file = Arc::new(Mutex::new(file));
    let mut handles = vec![];

    for i in 0..4 {
        let shared_file = Arc::clone(&shared_file);
        let handle = thread::spawn(move || {
            let mut file = shared_file.lock().unwrap();
            file.seek(SeekFrom::Start(i * chunk_size)).unwrap();

            let mut reader = BufReader::new(file.take(chunk_size));
            let mut word_counts = HashMap::new();

            let mut line = String::new();
            while reader.read_line(&mut line).unwrap() > 0 {
                for word in line.split_whitespace() {
                    *word_counts.entry(word.to_string()).or_insert(0) += 1;
                }
                line.clear();
            }

            word_counts
        });
        handles.push(handle);
    }

    for handle in handles {
        let word_counts = handle.join().unwrap();
        print_json(&word_counts);
    }
}

fn print_json(word_counts: &HashMap<String, usize>) {
    print!("{{");
    for (i, (word, count)) in word_counts.iter().enumerate() {
        if i > 0 {
            print!(", ");
        }
        print!("\"{}\": {}", word, count);
    }
    println!("}}");
}
This program does the following: 1. It opens the file "/tmp/file.txt". 2. It calculates the size of the file and divides it into 4 equal chunks. 3. It creates 4 threads, each processing a quarter of the file. 4. Each thread reads its portion of the file, counts the words, and returns a HashMap with the word counts. 5. The main thread collects the results from all threads and prints them as JSON, one per line. To compile and run this program: 1. Save the code to a file, e.g., `word_count.rs`. 2. Compile it with `rustc word_count.rs`. 3. Run the resulting executable with `./word_count`. The program will print 4 lines of JSON output, each representing the word counts for a quarter of the file. You'll need to merge these results manually to get the total count for the entire file. Note that this approach might split words that happen to be at the boundaries of the chunks. For a more accurate count, you'd need to implement a more sophisticated chunking method, which is beyond the scope of this simple example.

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

fn main() {
    let file = File::open("/tmp/file.txt").expect("Failed to open file");
    let file_size = file.metadata().expect("Failed to get file metadata").len();
    let chunk_size = file_size / 4;

    let shared_file = Arc::new(Mutex::new(file));
    let mut handles = vec![];

    for i in 0..4 {
        let shared_file = Arc::clone(&shared_file);
        let handle = thread::spawn(move || {
            let mut file = shared_file.lock().unwrap();
            file.seek(SeekFrom::Start(i * chunk_size)).unwrap();

            let mut reader = BufReader::new(file.take(chunk_size));
            let mut word_counts = HashMap::new();

            let mut line = String::new();
            while reader.read_line(&mut line).unwrap() > 0 {
                for word in line.split_whitespace() {
                    *word_counts.entry(word.to_string()).or_insert(0) += 1;
                }
                line.clear();
            }

            word_counts
        });
        handles.push(handle);
    }

    for handle in handles {
        let word_counts = handle.join().unwrap();
        print_json(&word_counts);
    }
}

fn print_json(word_counts: &HashMap<String, usize>) {
    print!("{{");
    for (i, (word, count)) in word_counts.iter().enumerate() {
        if i > 0 {
            print!(", ");
        }
        print!("\"{}\": {}", word, count);
    }
    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, Read, Seek, SeekFrom}; use std::sync::{Arc, Mutex}; use std::thread; fn main() { let file = File::open("/tmp/file.txt").expect("Failed to open file"); let file_size = file.metadata().expect("Failed to get file metadata").len(); let chunk_size = file_size / 4; let shared_file = Arc::new(Mutex::new(file)); let mut handles = vec![]; for i in 0..4 { let shared_file = Arc::clone(&shared_file); let handle = thread::spawn(move || { let mut file = shared_file.lock().unwrap(); file.seek(SeekFrom::Start(i * chunk_size)).unwrap(); let mut reader = BufReader::new(file.take(chunk_size)); let mut word_counts = HashMap::new(); let mut line = String::new(); while reader.read_line(&mut line).unwrap() > 0 { for word in line.split_whitespace() { *word_counts.entry(word.to_string()).or_insert(0) += 1; } line.clear(); } word_counts }); handles.push(handle); } for handle in handles { let word_counts = handle.join().unwrap(); print_json(&word_counts); } } fn print_json(word_counts: &HashMap<String, usize>) { print!("{{"); for (i, (word, count)) in word_counts.iter().enumerate() { if i > 0 { print!(", "); } print!("\"{}\": {}", word, count); } 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: 

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

fn main() {
    let file = File::open("/tmp/file.txt").expect("Failed to open file");
    let file_size = file.metadata().expect("Failed to get file metadata").len();
    let chunk_size = file_size / 4;

    let shared_file = Arc::new(Mutex::new(file));
    let mut handles = vec![];

    for i in 0..4 {
        let shared_file = Arc::clone(&shared_file);
        let handle = thread::spawn(move || {
            let mut file = shared_file.lock().unwrap();
            file.seek(SeekFrom::Start(i * chunk_size)).unwrap();

            let mut reader = BufReader::new(file.take(chunk_size));
            let mut word_counts = HashMap::new();

            let mut line = String::new();
            while reader.read_line(&mut line).unwrap() > 0 {
                for word in line.split_whitespace() {
                    *word_counts.entry(word.to_string()).or_insert(0) += 1;
                }
                line.clear();
            }

            word_counts
        });
        handles.push(handle);
    }

    for handle in handles {
        let word_counts = handle.join().unwrap();
        print_json(&word_counts);
    }
}

fn print_json(word_counts: &HashMap<String, usize>) {
    print!("{{");
    for (i, (word, count)) in word_counts.iter().enumerate() {
        if i > 0 {
            print!(", ");
        }
        print!("\"{}\": {}", word, count);
    }
    println!("}}");
}
And got the output: error[E0507]: cannot move out of dereference of `MutexGuard<'_, File>` --> main.rs:22:45 | 22 | let mut reader = BufReader::new(file.take(chunk_size)); | ^^^^ ---------------- value moved due to this method call | | | move occurs because value has type `File`, which does not implement the `Copy` trait | note: `std::io::Read::take` takes ownership of the receiver `self`, which moves value --> /rustc/9b00956e56009bab2aa15d7bff10916599e3d6d6/library/std/src/io/mod.rs:1156:13 error: aborting due to 1 previous error For more information about this error, try `rustc --explain E0507`. 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.

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.

Output

Here's a self-contained Rust program that meets your requirements. It reads a file from `/tmp/file.txt`, processes it in parallel using 4 threads, and prints JSON output for word counts from each thread: 

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

fn main() {
    let file = File::open("/tmp/file.txt").expect("Failed to open file");
    let file_size = file.metadata().expect("Failed to get file metadata").len();
    let chunk_size = file_size / 4;

    let file = Arc::new(Mutex::new(file));
    let mut handles = vec![];

    for i in 0..4 {
        let file = Arc::clone(&file);
        let handle = thread::spawn(move || {
            let mut file = file.lock().unwrap();
            file.seek(SeekFrom::Start(i * chunk_size)).unwrap();

            let mut reader = BufReader::new(file.take(chunk_size));
            let mut word_counts = HashMap::new();

            let mut buffer = String::new();
            while reader.read_line(&mut buffer).unwrap() > 0 {
                for word in buffer.split_whitespace() {
                    let word = word.trim_matches(|c: char| !c.is_alphanumeric());
                    *word_counts.entry(word.to_string()).or_insert(0) += 1;
                }
                buffer.clear();
            }

            format!("{:?}", word_counts)
        });
        handles.push(handle);
    }

    for handle in handles {
        println!("{}", handle.join().unwrap());
    }
}
This program does the following: 1. It opens the file `/tmp/file.txt` and gets its size. 2. It divides the file into 4 equal chunks. 3. It creates 4 threads, each processing one chunk of the file. 4. Each thread reads its chunk of the file, counts the words, and returns a JSON-like string representation of the word counts. 5. The main thread collects the results from all threads and prints them, one per line. To compile and run this program: 1. Save it to a file, e.g., `word_count.rs` 2. Compile it with `rustc word_count.rs` 3. Run the resulting executable with `./word_count` Note that this approach may split words that happen to be at the boundaries of chunks, which could lead to slight inaccuracies in the word count. For a more accurate count, you'd need to implement a more sophisticated chunking method, which is beyond the scope of this simple example. Also, the output is not strictly JSON, but a Rust debug representation of a HashMap. To get proper JSON, you'd need to use a JSON serialization library, which would require Cargo. If you need exact JSON output without external dependencies, you'd have to implement JSON serialization manually, which would significantly increase the complexity of the code.

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

fn main() {
    let file = File::open("/tmp/file.txt").expect("Failed to open file");
    let file_size = file.metadata().expect("Failed to get file metadata").len();
    let chunk_size = file_size / 4;

    let file = Arc::new(Mutex::new(file));
    let mut handles = vec![];

    for i in 0..4 {
        let file = Arc::clone(&file);
        let handle = thread::spawn(move || {
            let mut file = file.lock().unwrap();
            file.seek(SeekFrom::Start(i * chunk_size)).unwrap();

            let mut reader = BufReader::new(file.take(chunk_size));
            let mut word_counts = HashMap::new();

            let mut buffer = String::new();
            while reader.read_line(&mut buffer).unwrap() > 0 {
                for word in buffer.split_whitespace() {
                    let word = word.trim_matches(|c: char| !c.is_alphanumeric());
                    *word_counts.entry(word.to_string()).or_insert(0) += 1;
                }
                buffer.clear();
            }

            format!("{:?}", word_counts)
        });
        handles.push(handle);
    }

    for handle in handles {
        println!("{}", handle.join().unwrap());
    }
}

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, Read, Seek, SeekFrom}; use std::sync::{Arc, Mutex}; use std::thread; fn main() { let file = File::open("/tmp/file.txt").expect("Failed to open file"); let file_size = file.metadata().expect("Failed to get file metadata").len(); let chunk_size = file_size / 4; let file = Arc::new(Mutex::new(file)); let mut handles = vec![]; for i in 0..4 { let file = Arc::clone(&file); let handle = thread::spawn(move || { let mut file = file.lock().unwrap(); file.seek(SeekFrom::Start(i * chunk_size)).unwrap(); let mut reader = BufReader::new(file.take(chunk_size)); let mut word_counts = HashMap::new(); let mut buffer = String::new(); while reader.read_line(&mut buffer).unwrap() > 0 { for word in buffer.split_whitespace() { let word = word.trim_matches(|c: char| !c.is_alphanumeric()); *word_counts.entry(word.to_string()).or_insert(0) += 1; } buffer.clear(); } format!("{:?}", word_counts) }); handles.push(handle); } for handle in handles { println!("{}", handle.join().unwrap()); } } 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: 

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

fn main() {
    let file = File::open("/tmp/file.txt").expect("Failed to open file");
    let file_size = file.metadata().expect("Failed to get file metadata").len();
    let chunk_size = file_size / 4;

    let file = Arc::new(Mutex::new(file));
    let mut handles = vec![];

    for i in 0..4 {
        let file = Arc::clone(&file);
        let handle = thread::spawn(move || {
            let mut file = file.lock().unwrap();
            file.seek(SeekFrom::Start(i * chunk_size)).unwrap();

            let mut reader = BufReader::new(file.take(chunk_size));
            let mut word_counts = HashMap::new();

            let mut buffer = String::new();
            while reader.read_line(&mut buffer).unwrap() > 0 {
                for word in buffer.split_whitespace() {
                    let word = word.trim_matches(|c: char| !c.is_alphanumeric());
                    *word_counts.entry(word.to_string()).or_insert(0) += 1;
                }
                buffer.clear();
            }

            format!("{:?}", word_counts)
        });
        handles.push(handle);
    }

    for handle in handles {
        println!("{}", handle.join().unwrap());
    }
}
And got the output: error[E0507]: cannot move out of dereference of `MutexGuard<'_, File>` --> main.rs:22:45 | 22 | let mut reader = BufReader::new(file.take(chunk_size)); | ^^^^ ---------------- value moved due to this method call | | | move occurs because value has type `File`, which does not implement the `Copy` trait | note: `std::io::Read::take` takes ownership of the receiver `self`, which moves value --> /rustc/9b00956e56009bab2aa15d7bff10916599e3d6d6/library/std/src/io/mod.rs:1156:13 error: aborting due to 1 previous error For more information about this error, try `rustc --explain E0507`. 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