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

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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 into memory
    let mut file = File::open("/tmp/file.txt")?;
    let mut content = String::new();
    file.read_to_string(&mut content)?;
    
    // Find appropriate split points at word boundaries
    let total_len = content.len();
    let chars: Vec<char> = content.chars().collect();
    let mut split_points = Vec::new();
    
    for i in 1..4 {
        let target = (total_len * i) / 4;
        let mut j = target;
        
        // Find the next word boundary (space or newline)
        while j < total_len && !chars[j].is_whitespace() {
            j += 1;
        }
        
        split_points.push(j);
    }
    
    // Create chunks based on split points
    let mut chunks = Vec::new();
    let mut start = 0;
    
    for &end in &split_points {
        chunks.push(content[start..end].to_string());
        start = end;
    }
    
    // Add the last chunk
    chunks.push(content[start..].to_string());
    
    // Process chunks in parallel
    let mut handles = Vec::new();
    
    for chunk in chunks {
        let handle = thread::spawn(move || {
            let mut word_counts = HashMap::new();
            
            // Count words in this chunk
            for word in chunk.split_whitespace() {
                let word = word.trim_matches(|c: char| !c.is_alphanumeric() && c != ',');
                if !word.is_empty() {
                    *word_counts.entry(word.to_string()).or_insert(0) += 1;
                }
            }
            
            // Format as JSON
            let mut json = String::from("{");
            let mut first = true;
            
            for (word, count) in &word_counts {
                if !first {
                    json.push_str(", ");
                }
                json.push_str(&format!("\"{}\": {}", word, count));
                first = false;
            }
            
            json.push_str("}");
            json
        });
        
        handles.push(handle);
    }
    
    // Collect and print results
    for handle in handles {
        match handle.join() {
            Ok(json) => println!("{}", json),
            Err(_) => println!("{}"), // Empty JSON in case of thread error
        }
    }
    
    Ok(())
}
This program: 1. Reads the entire file into memory 2. Divides the content into 4 chunks at word boundaries 3. Processes each chunk in a separate thread 4. Counts word occurrences in each chunk 5. Formats the results as JSON and prints them, one JSON object per line Each thread handles approximately 1/4 of the file, and the splitting is done at word boundaries to ensure words aren't split between threads. The program manually formats the JSON output without using any external crates.

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 into memory
    let mut file = File::open("/tmp/file.txt")?;
    let mut content = String::new();
    file.read_to_string(&mut content)?;
    
    // Find appropriate split points at word boundaries
    let total_len = content.len();
    let chars: Vec<char> = content.chars().collect();
    let mut split_points = Vec::new();
    
    for i in 1..4 {
        let target = (total_len * i) / 4;
        let mut j = target;
        
        // Find the next word boundary (space or newline)
        while j < total_len && !chars[j].is_whitespace() {
            j += 1;
        }
        
        split_points.push(j);
    }
    
    // Create chunks based on split points
    let mut chunks = Vec::new();
    let mut start = 0;
    
    for &end in &split_points {
        chunks.push(content[start..end].to_string());
        start = end;
    }
    
    // Add the last chunk
    chunks.push(content[start..].to_string());
    
    // Process chunks in parallel
    let mut handles = Vec::new();
    
    for chunk in chunks {
        let handle = thread::spawn(move || {
            let mut word_counts = HashMap::new();
            
            // Count words in this chunk
            for word in chunk.split_whitespace() {
                let word = word.trim_matches(|c: char| !c.is_alphanumeric() && c != ',');
                if !word.is_empty() {
                    *word_counts.entry(word.to_string()).or_insert(0) += 1;
                }
            }
            
            // Format as JSON
            let mut json = String::from("{");
            let mut first = true;
            
            for (word, count) in &word_counts {
                if !first {
                    json.push_str(", ");
                }
                json.push_str(&format!("\"{}\": {}", word, count));
                first = false;
            }
            
            json.push_str("}");
            json
        });
        
        handles.push(handle);
    }
    
    // Collect and print results
    for handle in handles {
        match handle.join() {
            Ok(json) => println!("{}", json),
            Err(_) => println!("{}"), // Empty JSON in case of thread error
        }
    }
    
    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 into memory let mut file = File::open("/tmp/file.txt")?; let mut content = String::new(); file.read_to_string(&mut content)?; // Find appropriate split points at word boundaries let total_len = content.len(); let chars: Vec<char> = content.chars().collect(); let mut split_points = Vec::new(); for i in 1..4 { let target = (total_len * i) / 4; let mut j = target; // Find the next word boundary (space or newline) while j < total_len && !chars[j].is_whitespace() { j += 1; } split_points.push(j); } // Create chunks based on split points let mut chunks = Vec::new(); let mut start = 0; for &end in &split_points { chunks.push(content[start..end].to_string()); start = end; } // Add the last chunk chunks.push(content[start..].to_string()); // Process chunks in parallel let mut handles = Vec::new(); for chunk in chunks { let handle = thread::spawn(move || { let mut word_counts = HashMap::new(); // Count words in this chunk for word in chunk.split_whitespace() { let word = word.trim_matches(|c: char| !c.is_alphanumeric() && c != ','); if !word.is_empty() { *word_counts.entry(word.to_string()).or_insert(0) += 1; } } // Format as JSON let mut json = String::from("{"); let mut first = true; for (word, count) in &word_counts { if !first { json.push_str(", "); } json.push_str(&format!("\"{}\": {}", word, count)); first = false; } json.push_str("}"); json }); handles.push(handle); } // Collect and print results for handle in handles { match handle.join() { Ok(json) => println!("{}", json), Err(_) => println!("{}"), // Empty JSON in case of thread error } } 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 into memory
    let mut file = File::open("/tmp/file.txt")?;
    let mut content = String::new();
    file.read_to_string(&mut content)?;
    
    // Find appropriate split points at word boundaries
    let total_len = content.len();
    let chars: Vec<char> = content.chars().collect();
    let mut split_points = Vec::new();
    
    for i in 1..4 {
        let target = (total_len * i) / 4;
        let mut j = target;
        
        // Find the next word boundary (space or newline)
        while j < total_len && !chars[j].is_whitespace() {
            j += 1;
        }
        
        split_points.push(j);
    }
    
    // Create chunks based on split points
    let mut chunks = Vec::new();
    let mut start = 0;
    
    for &end in &split_points {
        chunks.push(content[start..end].to_string());
        start = end;
    }
    
    // Add the last chunk
    chunks.push(content[start..].to_string());
    
    // Process chunks in parallel
    let mut handles = Vec::new();
    
    for chunk in chunks {
        let handle = thread::spawn(move || {
            let mut word_counts = HashMap::new();
            
            // Count words in this chunk
            for word in chunk.split_whitespace() {
                let word = word.trim_matches(|c: char| !c.is_alphanumeric() && c != ',');
                if !word.is_empty() {
                    *word_counts.entry(word.to_string()).or_insert(0) += 1;
                }
            }
            
            // Format as JSON
            let mut json = String::from("{");
            let mut first = true;
            
            for (word, count) in &word_counts {
                if !first {
                    json.push_str(", ");
                }
                json.push_str(&format!("\"{}\": {}", word, count));
                first = false;
            }
            
            json.push_str("}");
            json
        });
        
        handles.push(handle);
    }
    
    // Collect and print results
    for handle in handles {
        match handle.join() {
            Ok(json) => println!("{}", json),
            Err(_) => println!("{}"), // Empty JSON in case of thread error
        }
    }
    
    Ok(())
}
And got the output: error: 1 positional argument in format string, but no arguments were given --> main.rs:80:33 | 80 | Err(_) => println!("{}"), // Empty JSON in case of thread error | ^^ 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. 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

# Rust Word Count Program with Parallel Processing 

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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 entire file
    let mut file = File::open("/tmp/file.txt")?;
    let mut content = String::new();
    file.read_to_string(&mut content)?;
    
    // Split content by whitespace to get all words
    let words: Vec<&str> = content.split_whitespace().collect();
    
    let total_words = words.len();
    let words_per_part = (total_words + 3) / 4; // Ceiling division to ensure we cover all words
    
    let mut handles = vec![];
    
    // Create 4 threads, each processing approximately 1/4 of the words
    for i in 0..4 {
        let start = i * words_per_part;
        let end = std::cmp::min((i + 1) * words_per_part, total_words);
        
        // Handle the case where we have fewer than 4 words
        if start >= total_words {
            let handle = thread::spawn(move || "{}".to_string());
            handles.push(handle);
            continue;
        }
        
        // Clone words for this partition to pass to the thread
        let part_words: Vec<String> = words[start..end].iter().map(|&s| s.to_string()).collect();
        
        // Process each chunk in its own thread
        let handle = thread::spawn(move || {
            let mut word_counts = HashMap::new();
            
            // Count words in this partition
            for word in part_words {
                *word_counts.entry(word).or_insert(0) += 1;
            }
            
            // Format as JSON manually
            let mut json = "{".to_string();
            let mut first = true;
            
            for (word, count) in &word_counts {
                if !first {
                    json.push_str(", ");
                }
                first = false;
                
                // Escape quotes in the word if needed
                let escaped_word = word.replace("\"", "\\\"");
                
                json.push_str(&format!("\"{}\": {}", escaped_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 if thread panicked
        }
    }
    
    Ok(())
}
This program: 1. Reads the text file from `/tmp/file.txt` 2. Divides the words into 4 approximately equal parts 3. Processes each part in parallel using threads 4. Counts word occurrences for each part 5. Formats the results as JSON (with proper spacing after the colons) 6. Prints 4 separate JSON dictionaries, one per line To compile and run: 
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rustc yourfile.rs -o rust_word_count
./rust_word_count
The program will output 4 JSON dictionaries, with each dictionary representing the word counts from one quarter 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::{self, Read};
use std::thread;

fn main() -> io::Result<()> {
    // Read the entire file
    let mut file = File::open("/tmp/file.txt")?;
    let mut content = String::new();
    file.read_to_string(&mut content)?;
    
    // Split content by whitespace to get all words
    let words: Vec<&str> = content.split_whitespace().collect();
    
    let total_words = words.len();
    let words_per_part = (total_words + 3) / 4; // Ceiling division to ensure we cover all words
    
    let mut handles = vec![];
    
    // Create 4 threads, each processing approximately 1/4 of the words
    for i in 0..4 {
        let start = i * words_per_part;
        let end = std::cmp::min((i + 1) * words_per_part, total_words);
        
        // Handle the case where we have fewer than 4 words
        if start >= total_words {
            let handle = thread::spawn(move || "{}".to_string());
            handles.push(handle);
            continue;
        }
        
        // Clone words for this partition to pass to the thread
        let part_words: Vec<String> = words[start..end].iter().map(|&s| s.to_string()).collect();
        
        // Process each chunk in its own thread
        let handle = thread::spawn(move || {
            let mut word_counts = HashMap::new();
            
            // Count words in this partition
            for word in part_words {
                *word_counts.entry(word).or_insert(0) += 1;
            }
            
            // Format as JSON manually
            let mut json = "{".to_string();
            let mut first = true;
            
            for (word, count) in &word_counts {
                if !first {
                    json.push_str(", ");
                }
                first = false;
                
                // Escape quotes in the word if needed
                let escaped_word = word.replace("\"", "\\\"");
                
                json.push_str(&format!("\"{}\": {}", escaped_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 if thread panicked
        }
    }
    
    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 entire file let mut file = File::open("/tmp/file.txt")?; let mut content = String::new(); file.read_to_string(&mut content)?; // Split content by whitespace to get all words let words: Vec<&str> = content.split_whitespace().collect(); let total_words = words.len(); let words_per_part = (total_words + 3) / 4; // Ceiling division to ensure we cover all words let mut handles = vec![]; // Create 4 threads, each processing approximately 1/4 of the words for i in 0..4 { let start = i * words_per_part; let end = std::cmp::min((i + 1) * words_per_part, total_words); // Handle the case where we have fewer than 4 words if start >= total_words { let handle = thread::spawn(move || "{}".to_string()); handles.push(handle); continue; } // Clone words for this partition to pass to the thread let part_words: Vec<String> = words[start..end].iter().map(|&s| s.to_string()).collect(); // Process each chunk in its own thread let handle = thread::spawn(move || { let mut word_counts = HashMap::new(); // Count words in this partition for word in part_words { *word_counts.entry(word).or_insert(0) += 1; } // Format as JSON manually let mut json = "{".to_string(); let mut first = true; for (word, count) in &word_counts { if !first { json.push_str(", "); } first = false; // Escape quotes in the word if needed let escaped_word = word.replace("\"", "\\\""); json.push_str(&format!("\"{}\": {}", escaped_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 if thread panicked } } 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 entire file
    let mut file = File::open("/tmp/file.txt")?;
    let mut content = String::new();
    file.read_to_string(&mut content)?;
    
    // Split content by whitespace to get all words
    let words: Vec<&str> = content.split_whitespace().collect();
    
    let total_words = words.len();
    let words_per_part = (total_words + 3) / 4; // Ceiling division to ensure we cover all words
    
    let mut handles = vec![];
    
    // Create 4 threads, each processing approximately 1/4 of the words
    for i in 0..4 {
        let start = i * words_per_part;
        let end = std::cmp::min((i + 1) * words_per_part, total_words);
        
        // Handle the case where we have fewer than 4 words
        if start >= total_words {
            let handle = thread::spawn(move || "{}".to_string());
            handles.push(handle);
            continue;
        }
        
        // Clone words for this partition to pass to the thread
        let part_words: Vec<String> = words[start..end].iter().map(|&s| s.to_string()).collect();
        
        // Process each chunk in its own thread
        let handle = thread::spawn(move || {
            let mut word_counts = HashMap::new();
            
            // Count words in this partition
            for word in part_words {
                *word_counts.entry(word).or_insert(0) += 1;
            }
            
            // Format as JSON manually
            let mut json = "{".to_string();
            let mut first = true;
            
            for (word, count) in &word_counts {
                if !first {
                    json.push_str(", ");
                }
                first = false;
                
                // Escape quotes in the word if needed
                let escaped_word = word.replace("\"", "\\\"");
                
                json.push_str(&format!("\"{}\": {}", escaped_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 if thread panicked
        }
    }
    
    Ok(())
}
And got the output: error: 1 positional argument in format string, but no arguments were given --> main.rs:72:33 | 72 | Err(_) => println!("{}"), // Print empty JSON if thread panicked | ^^ 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