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

# Rust Word Count Program with Parallel Processing Here's a self-contained Rust program that counts word frequencies in parallel across 4 cores: 

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use std::collections::HashMap;
use std::fs::File;
use std::io::{self, Read};
use std::thread;

fn main() -> io::Result<()> {
    // Read the file content
    let mut file = File::open("/tmp/file.txt")?;
    let mut content = String::new();
    file.read_to_string(&mut content)?;
    
    // Calculate chunk sizes for parallel processing
    let content_len = content.len();
    let chunk_size = content_len / 4;
    
    // Split content into 4 chunks, ensuring we split on word boundaries
    let mut chunks = Vec::new();
    let mut start_idx = 0;
    
    for _ in 0..3 {
        if start_idx >= content_len {
            break;
        }
        
        let mut end_idx = std::cmp::min(start_idx + chunk_size, content_len);
        
        // Find the next whitespace to avoid cutting words
        while end_idx < content_len && !content.as_bytes()[end_idx].is_ascii_whitespace() {
            end_idx += 1;
        }
        
        chunks.push(content[start_idx..end_idx].to_string());
        start_idx = end_idx;
    }
    
    // Add the remaining content as the last chunk
    if start_idx < content_len {
        chunks.push(content[start_idx..].to_string());
    }
    
    // Ensure we have exactly 4 chunks (even for short files)
    while chunks.len() < 4 {
        chunks.push(String::new());
    }
    
    // Process each chunk in a separate thread
    let mut handles = vec![];
    
    for chunk in chunks {
        let handle = thread::spawn(move || {
            let mut word_count = HashMap::new();
            
            // Count word occurrences in this chunk
            for word in chunk.split_whitespace() {
                *word_count.entry(word.to_string()).or_insert(0) += 1;
            }
            
            // Convert the HashMap to a JSON string
            let mut json = "{".to_string();
            let mut first = true;
            
            for (word, count) in word_count {
                if !first {
                    json.push_str(", ");
                }
                first = false;
                
                json.push_str(&format!("\"{}\": {}", word, count));
            }
            
            json.push_str("}");
            json
        });
        
        handles.push(handle);
    }
    
    // Collect and print results from each thread
    for handle in handles {
        match handle.join() {
            Ok(json) => println!("{}", json),
            Err(_) => println!("{}"), // Print empty JSON object for failed threads
        }
    }
    
    Ok(())
}
This program: 1. Reads the file at `/tmp/file.txt` 2. Splits the content into 4 approximately equal chunks, being careful to split on word boundaries 3. Processes each chunk in a separate thread to count word occurrences 4. Outputs 4 JSON dictionaries, one per line (one from each thread) You can compile it with `rustc yourfile.rs` and run it directly without any arguments.

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::{self, Read};
use std::thread;

fn main() -> io::Result<()> {
    // Read the file content
    let mut file = File::open("/tmp/file.txt")?;
    let mut content = String::new();
    file.read_to_string(&mut content)?;
    
    // Calculate chunk sizes for parallel processing
    let content_len = content.len();
    let chunk_size = content_len / 4;
    
    // Split content into 4 chunks, ensuring we split on word boundaries
    let mut chunks = Vec::new();
    let mut start_idx = 0;
    
    for _ in 0..3 {
        if start_idx >= content_len {
            break;
        }
        
        let mut end_idx = std::cmp::min(start_idx + chunk_size, content_len);
        
        // Find the next whitespace to avoid cutting words
        while end_idx < content_len && !content.as_bytes()[end_idx].is_ascii_whitespace() {
            end_idx += 1;
        }
        
        chunks.push(content[start_idx..end_idx].to_string());
        start_idx = end_idx;
    }
    
    // Add the remaining content as the last chunk
    if start_idx < content_len {
        chunks.push(content[start_idx..].to_string());
    }
    
    // Ensure we have exactly 4 chunks (even for short files)
    while chunks.len() < 4 {
        chunks.push(String::new());
    }
    
    // Process each chunk in a separate thread
    let mut handles = vec![];
    
    for chunk in chunks {
        let handle = thread::spawn(move || {
            let mut word_count = HashMap::new();
            
            // Count word occurrences in this chunk
            for word in chunk.split_whitespace() {
                *word_count.entry(word.to_string()).or_insert(0) += 1;
            }
            
            // Convert the HashMap to a JSON string
            let mut json = "{".to_string();
            let mut first = true;
            
            for (word, count) in word_count {
                if !first {
                    json.push_str(", ");
                }
                first = false;
                
                json.push_str(&format!("\"{}\": {}", word, count));
            }
            
            json.push_str("}");
            json
        });
        
        handles.push(handle);
    }
    
    // Collect and print results from each thread
    for handle in handles {
        match handle.join() {
            Ok(json) => println!("{}", json),
            Err(_) => println!("{}"), // Print empty JSON object for failed threads
        }
    }
    
    Ok(())
}

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::{self, Read}; use std::thread; fn main() -> io::Result<()> { // Read the file content let mut file = File::open("/tmp/file.txt")?; let mut content = String::new(); file.read_to_string(&mut content)?; // Calculate chunk sizes for parallel processing let content_len = content.len(); let chunk_size = content_len / 4; // Split content into 4 chunks, ensuring we split on word boundaries let mut chunks = Vec::new(); let mut start_idx = 0; for _ in 0..3 { if start_idx >= content_len { break; } let mut end_idx = std::cmp::min(start_idx + chunk_size, content_len); // Find the next whitespace to avoid cutting words while end_idx < content_len && !content.as_bytes()[end_idx].is_ascii_whitespace() { end_idx += 1; } chunks.push(content[start_idx..end_idx].to_string()); start_idx = end_idx; } // Add the remaining content as the last chunk if start_idx < content_len { chunks.push(content[start_idx..].to_string()); } // Ensure we have exactly 4 chunks (even for short files) while chunks.len() < 4 { chunks.push(String::new()); } // Process each chunk in a separate thread let mut handles = vec![]; for chunk in chunks { let handle = thread::spawn(move || { let mut word_count = HashMap::new(); // Count word occurrences in this chunk for word in chunk.split_whitespace() { *word_count.entry(word.to_string()).or_insert(0) += 1; } // Convert the HashMap to a JSON string let mut json = "{".to_string(); let mut first = true; for (word, count) in word_count { if !first { json.push_str(", "); } first = false; json.push_str(&format!("\"{}\": {}", word, count)); } json.push_str("}"); json }); handles.push(handle); } // Collect and print results from each thread for handle in handles { match handle.join() { Ok(json) => println!("{}", json), Err(_) => println!("{}"), // Print empty JSON object for failed threads } } Ok(()) } 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::{self, Read};
use std::thread;

fn main() -> io::Result<()> {
    // Read the file content
    let mut file = File::open("/tmp/file.txt")?;
    let mut content = String::new();
    file.read_to_string(&mut content)?;
    
    // Calculate chunk sizes for parallel processing
    let content_len = content.len();
    let chunk_size = content_len / 4;
    
    // Split content into 4 chunks, ensuring we split on word boundaries
    let mut chunks = Vec::new();
    let mut start_idx = 0;
    
    for _ in 0..3 {
        if start_idx >= content_len {
            break;
        }
        
        let mut end_idx = std::cmp::min(start_idx + chunk_size, content_len);
        
        // Find the next whitespace to avoid cutting words
        while end_idx < content_len && !content.as_bytes()[end_idx].is_ascii_whitespace() {
            end_idx += 1;
        }
        
        chunks.push(content[start_idx..end_idx].to_string());
        start_idx = end_idx;
    }
    
    // Add the remaining content as the last chunk
    if start_idx < content_len {
        chunks.push(content[start_idx..].to_string());
    }
    
    // Ensure we have exactly 4 chunks (even for short files)
    while chunks.len() < 4 {
        chunks.push(String::new());
    }
    
    // Process each chunk in a separate thread
    let mut handles = vec![];
    
    for chunk in chunks {
        let handle = thread::spawn(move || {
            let mut word_count = HashMap::new();
            
            // Count word occurrences in this chunk
            for word in chunk.split_whitespace() {
                *word_count.entry(word.to_string()).or_insert(0) += 1;
            }
            
            // Convert the HashMap to a JSON string
            let mut json = "{".to_string();
            let mut first = true;
            
            for (word, count) in word_count {
                if !first {
                    json.push_str(", ");
                }
                first = false;
                
                json.push_str(&format!("\"{}\": {}", word, count));
            }
            
            json.push_str("}");
            json
        });
        
        handles.push(handle);
    }
    
    // Collect and print results from each thread
    for handle in handles {
        match handle.join() {
            Ok(json) => println!("{}", json),
            Err(_) => println!("{}"), // Print empty JSON object for failed threads
        }
    }
    
    Ok(())
}
And got the output: error: 1 positional argument in format string, but no arguments were given --> main.rs:83:33 | 83 | Err(_) => println!("{}"), // Print empty JSON object for failed threads | ^^ error: aborting due to 1 previous error 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 counts words in parallel as requested: 

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use std::collections::HashMap;
use std::fs::File;
use std::io::{self, Read};
use std::thread;

fn main() -> io::Result<()> {
    // Read the file
    let mut file = File::open("/tmp/file.txt")?;
    let mut content = String::new();
    file.read_to_string(&mut content)?;

    // Split the file into 4 roughly equal chunks
    let total_len = content.len();
    let chunk_size = total_len / 4;
    let mut chunk_boundaries = Vec::new();
    
    // Find chunk boundaries at whitespace
    chunk_boundaries.push(0);
    for i in 1..4 {
        let target_pos = i * chunk_size;
        let mut pos = target_pos;
        
        // Skip forward to find whitespace
        while pos < total_len && !content.as_bytes()[pos].is_ascii_whitespace() {
            pos += 1;
        }
        
        chunk_boundaries.push(pos);
    }
    chunk_boundaries.push(total_len);

    // Process each chunk in parallel
    let mut handles = Vec::new();
    for i in 0..4 {
        let start = chunk_boundaries[i];
        let end = chunk_boundaries[i+1];
        let chunk = content[start..end].to_string();
        
        let handle = thread::spawn(move || {
            let mut word_counts = HashMap::new();
            
            // Count words in this chunk
            for word in chunk.split_whitespace() {
                *word_counts.entry(word.to_string()).or_insert(0) += 1;
            }
            
            // Manually create JSON output
            let mut json = String::from("{");
            let mut first = true;
            for (word, count) in word_counts {
                if !first {
                    json.push_str(", ");
                }
                first = false;
                json.push_str(&format!("\"{}\": {}", word, count));
            }
            json.push_str("}");
            
            json
        });
        
        handles.push(handle);
    }

    // Print results from each thread
    for handle in handles {
        println!("{}", handle.join().unwrap());
    }

    Ok(())
}
This program: 1. Reads the entire file into memory 2. Divides it into 4 chunks at whitespace boundaries 3. Processes each chunk in a separate thread 4. Counts word occurrences in each chunk 5. Formats and prints JSON dictionaries (one per line) Each thread handles approximately 1/4 of the file data. The program splits at whitespace boundaries to ensure words aren't cut off between chunks.

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::{self, Read};
use std::thread;

fn main() -> io::Result<()> {
    // Read the file
    let mut file = File::open("/tmp/file.txt")?;
    let mut content = String::new();
    file.read_to_string(&mut content)?;

    // Split the file into 4 roughly equal chunks
    let total_len = content.len();
    let chunk_size = total_len / 4;
    let mut chunk_boundaries = Vec::new();
    
    // Find chunk boundaries at whitespace
    chunk_boundaries.push(0);
    for i in 1..4 {
        let target_pos = i * chunk_size;
        let mut pos = target_pos;
        
        // Skip forward to find whitespace
        while pos < total_len && !content.as_bytes()[pos].is_ascii_whitespace() {
            pos += 1;
        }
        
        chunk_boundaries.push(pos);
    }
    chunk_boundaries.push(total_len);

    // Process each chunk in parallel
    let mut handles = Vec::new();
    for i in 0..4 {
        let start = chunk_boundaries[i];
        let end = chunk_boundaries[i+1];
        let chunk = content[start..end].to_string();
        
        let handle = thread::spawn(move || {
            let mut word_counts = HashMap::new();
            
            // Count words in this chunk
            for word in chunk.split_whitespace() {
                *word_counts.entry(word.to_string()).or_insert(0) += 1;
            }
            
            // Manually create JSON output
            let mut json = String::from("{");
            let mut first = true;
            for (word, count) in word_counts {
                if !first {
                    json.push_str(", ");
                }
                first = false;
                json.push_str(&format!("\"{}\": {}", word, count));
            }
            json.push_str("}");
            
            json
        });
        
        handles.push(handle);
    }

    // Print results from each thread
    for handle in handles {
        println!("{}", handle.join().unwrap());
    }

    Ok(())
}

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::{self, Read}; use std::thread; fn main() -> io::Result<()> { // Read the file let mut file = File::open("/tmp/file.txt")?; let mut content = String::new(); file.read_to_string(&mut content)?; // Split the file into 4 roughly equal chunks let total_len = content.len(); let chunk_size = total_len / 4; let mut chunk_boundaries = Vec::new(); // Find chunk boundaries at whitespace chunk_boundaries.push(0); for i in 1..4 { let target_pos = i * chunk_size; let mut pos = target_pos; // Skip forward to find whitespace while pos < total_len && !content.as_bytes()[pos].is_ascii_whitespace() { pos += 1; } chunk_boundaries.push(pos); } chunk_boundaries.push(total_len); // Process each chunk in parallel let mut handles = Vec::new(); for i in 0..4 { let start = chunk_boundaries[i]; let end = chunk_boundaries[i+1]; let chunk = content[start..end].to_string(); let handle = thread::spawn(move || { let mut word_counts = HashMap::new(); // Count words in this chunk for word in chunk.split_whitespace() { *word_counts.entry(word.to_string()).or_insert(0) += 1; } // Manually create JSON output let mut json = String::from("{"); let mut first = true; for (word, count) in word_counts { if !first { json.push_str(", "); } first = false; json.push_str(&format!("\"{}\": {}", word, count)); } json.push_str("}"); json }); handles.push(handle); } // Print results from each thread for handle in handles { println!("{}", handle.join().unwrap()); } Ok(()) } 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::{self, Read};
use std::thread;

fn main() -> io::Result<()> {
    // Read the file
    let mut file = File::open("/tmp/file.txt")?;
    let mut content = String::new();
    file.read_to_string(&mut content)?;

    // Split the file into 4 roughly equal chunks
    let total_len = content.len();
    let chunk_size = total_len / 4;
    let mut chunk_boundaries = Vec::new();
    
    // Find chunk boundaries at whitespace
    chunk_boundaries.push(0);
    for i in 1..4 {
        let target_pos = i * chunk_size;
        let mut pos = target_pos;
        
        // Skip forward to find whitespace
        while pos < total_len && !content.as_bytes()[pos].is_ascii_whitespace() {
            pos += 1;
        }
        
        chunk_boundaries.push(pos);
    }
    chunk_boundaries.push(total_len);

    // Process each chunk in parallel
    let mut handles = Vec::new();
    for i in 0..4 {
        let start = chunk_boundaries[i];
        let end = chunk_boundaries[i+1];
        let chunk = content[start..end].to_string();
        
        let handle = thread::spawn(move || {
            let mut word_counts = HashMap::new();
            
            // Count words in this chunk
            for word in chunk.split_whitespace() {
                *word_counts.entry(word.to_string()).or_insert(0) += 1;
            }
            
            // Manually create JSON output
            let mut json = String::from("{");
            let mut first = true;
            for (word, count) in word_counts {
                if !first {
                    json.push_str(", ");
                }
                first = false;
                json.push_str(&format!("\"{}\": {}", word, count));
            }
            json.push_str("}");
            
            json
        });
        
        handles.push(handle);
    }

    // Print results from each thread
    for handle in handles {
        println!("{}", handle.join().unwrap());
    }

    Ok(())
}
And got the output: {"was": 4, "of": 4, "worst": 1, "wisdom,": 1, "best": 1, "age": 2, "the": 4, "times,": 2, "it": 4, "foolishness,": 1} {"was": 4, "incredulity,": 1, "Light,": 1, "belief,": 1, "the": 4, "it": 4, "epoch": 2, "of": 3, "season": 1} {"had": 1, "season": 1, "Darkness,": 1, "everything": 1, "hope,": 1, "before": 1, "spring": 1, "us,": 1, "despair,": 1, "winter": 1, "was": 2, "of": 3, "we": 1, "it": 2, "the": 2} {"the": 1, "way": 1, "before": 1, "were": 2, "nothing": 1, "Heaven,": 1, "all": 2, "other": 1, "we": 3, "had": 1, "going": 2, "direct": 2, "to": 1, "us,": 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