Docker Setup

I have setup the docker container to run the model evaluation.

Initial Query

Write a self-contained Rust program that prints a JSON output of how often each word appears in a text file located in /tmp/file.txt. So if the file contains "This is is is, an example" then the program should print to stdout. {"This": 1, "is": 2, "is,": 1, "an": 1, "example": 1} Don't import any crates that would require a Cargo.toml file. I'll just compile it with `rustc yourfile.rs` and it should work. The program should be run by calling /path/to/rust_word_count with no arguments. Make it run in parallel on 4 cores at the same time, each job taking ~1/4 of the file. Print out 4 differnt json dicts, one per line. I'll do the merging. Do not import serde_json, write json output from scratch.

LLM Generation

Query

Write a self-contained Rust program that prints a JSON output of how often each word appears in a text file located in /tmp/file.txt. So if the file contains "This is is is, an example" then the program should print to stdout. {"This": 1, "is": 2, "is,": 1, "an": 1, "example": 1} Don't import any crates that would require a Cargo.toml file. I'll just compile it with `rustc yourfile.rs` and it should work. The program should be run by calling /path/to/rust_word_count with no arguments. Make it run in parallel on 4 cores at the same time, each job taking ~1/4 of the file. Print out 4 differnt json dicts, one per line. I'll do the merging. Do not import serde_json, write json output from scratch.

Output

Here's a self-contained Rust program that processes a text file in parallel and outputs word counts as JSON for each chunk: 

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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 make_json(map: &HashMap<String, usize>) -> String {
    let mut result = String::from("{");
    let mut first = true;
    
    for (key, value) in map.iter() {
        if !first {
            result.push_str(", ");
        }
        first = false;
        result.push('"');
        result.push_str(key);
        result.push('"');
        result.push_str(": ");
        result.push_str(&value.to_string());
    }
    
    result.push('}');
    result
}

fn main() {
    let file = File::open("/tmp/file.txt").expect("Failed to open file");
    let file_len = file.metadata().unwrap().len();
    let chunk_size = file_len / 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 word_counts: HashMap<String, usize> = HashMap::new();
            let start_pos = i * chunk_size;
            let end_pos = if i == 3 { file_len } else { (i + 1) * chunk_size };
            
            let mut file = file.lock().unwrap();
            file.seek(SeekFrom::Start(start_pos)).unwrap();
            
            let mut reader = BufReader::new(file.try_clone().unwrap());
            let mut buffer = String::new();
            
            if i > 0 {
                reader.read_line(&mut buffer).unwrap(); // Skip partial word
                buffer.clear();
            }
            
            let mut current_pos = reader.stream_position().unwrap();
            
            while current_pos < end_pos {
                if reader.read_line(&mut buffer).unwrap() == 0 {
                    break;
                }
                
                for word in buffer.split_whitespace() {
                    *word_counts.entry(word.to_string()).or_insert(0) += 1;
                }
                
                current_pos = reader.stream_position().unwrap();
                buffer.clear();
            }
            
            make_json(&word_counts)
        });
        
        handles.push(handle);
    }
    
    for handle in handles {
        println!("{}", handle.join().unwrap());
    }
}
This program: 1. Opens the file at `/tmp/file.txt` 2. Divides the file into 4 roughly equal chunks 3. Creates 4 threads, each processing its own chunk 4. Each thread: - Seeks to its starting position - Reads lines until it reaches its end position - Counts words in its chunk - Creates a JSON string representation of its word counts 5. Prints each thread's JSON output on separate lines Some notes: - The first word of each chunk (except the first chunk) might be partial, so it's skipped - The program handles the file in a thread-safe manner using Arc and Mutex - The JSON output is created manually without external crates - Each thread's output is printed on a separate line To compile and run: 
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rustc wordcount.rs
./wordcount
The output will be 4 lines of JSON, each representing the word counts from one quarter of the file. You'll need to merge these counts yourself to get the total counts for the entire file. Note that this is a simple implementation and might not handle all edge cases perfectly (like words split exactly at chunk boundaries), but it should work well for most typical text files.

Extract Code

I extracted the following code from that output: 

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

fn make_json(map: &HashMap<String, usize>) -> String {
    let mut result = String::from("{");
    let mut first = true;
    
    for (key, value) in map.iter() {
        if !first {
            result.push_str(", ");
        }
        first = false;
        result.push('"');
        result.push_str(key);
        result.push('"');
        result.push_str(": ");
        result.push_str(&value.to_string());
    }
    
    result.push('}');
    result
}

fn main() {
    let file = File::open("/tmp/file.txt").expect("Failed to open file");
    let file_len = file.metadata().unwrap().len();
    let chunk_size = file_len / 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 word_counts: HashMap<String, usize> = HashMap::new();
            let start_pos = i * chunk_size;
            let end_pos = if i == 3 { file_len } else { (i + 1) * chunk_size };
            
            let mut file = file.lock().unwrap();
            file.seek(SeekFrom::Start(start_pos)).unwrap();
            
            let mut reader = BufReader::new(file.try_clone().unwrap());
            let mut buffer = String::new();
            
            if i > 0 {
                reader.read_line(&mut buffer).unwrap(); // Skip partial word
                buffer.clear();
            }
            
            let mut current_pos = reader.stream_position().unwrap();
            
            while current_pos < end_pos {
                if reader.read_line(&mut buffer).unwrap() == 0 {
                    break;
                }
                
                for word in buffer.split_whitespace() {
                    *word_counts.entry(word.to_string()).or_insert(0) += 1;
                }
                
                current_pos = reader.stream_position().unwrap();
                buffer.clear();
            }
            
            make_json(&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 make_json(map: &HashMap<String, usize>) -> String { let mut result = String::from("{"); let mut first = true; for (key, value) in map.iter() { if !first { result.push_str(", "); } first = false; result.push('"'); result.push_str(key); result.push('"'); result.push_str(": "); result.push_str(&value.to_string()); } result.push('}'); result } fn main() { let file = File::open("/tmp/file.txt").expect("Failed to open file"); let file_len = file.metadata().unwrap().len(); let chunk_size = file_len / 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 word_counts: HashMap<String, usize> = HashMap::new(); let start_pos = i * chunk_size; let end_pos = if i == 3 { file_len } else { (i + 1) * chunk_size }; let mut file = file.lock().unwrap(); file.seek(SeekFrom::Start(start_pos)).unwrap(); let mut reader = BufReader::new(file.try_clone().unwrap()); let mut buffer = String::new(); if i > 0 { reader.read_line(&mut buffer).unwrap(); // Skip partial word buffer.clear(); } let mut current_pos = reader.stream_position().unwrap(); while current_pos < end_pos { if reader.read_line(&mut buffer).unwrap() == 0 { break; } for word in buffer.split_whitespace() { *word_counts.entry(word.to_string()).or_insert(0) += 1; } current_pos = reader.stream_position().unwrap(); buffer.clear(); } make_json(&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: 

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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 make_json(map: &HashMap<String, usize>) -> String {
    let mut result = String::from("{");
    let mut first = true;
    
    for (key, value) in map.iter() {
        if !first {
            result.push_str(", ");
        }
        first = false;
        result.push('"');
        result.push_str(key);
        result.push('"');
        result.push_str(": ");
        result.push_str(&value.to_string());
    }
    
    result.push('}');
    result
}

fn main() {
    let file = File::open("/tmp/file.txt").expect("Failed to open file");
    let file_len = file.metadata().unwrap().len();
    let chunk_size = file_len / 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 word_counts: HashMap<String, usize> = HashMap::new();
            let start_pos = i * chunk_size;
            let end_pos = if i == 3 { file_len } else { (i + 1) * chunk_size };
            
            let mut file = file.lock().unwrap();
            file.seek(SeekFrom::Start(start_pos)).unwrap();
            
            let mut reader = BufReader::new(file.try_clone().unwrap());
            let mut buffer = String::new();
            
            if i > 0 {
                reader.read_line(&mut buffer).unwrap(); // Skip partial word
                buffer.clear();
            }
            
            let mut current_pos = reader.stream_position().unwrap();
            
            while current_pos < end_pos {
                if reader.read_line(&mut buffer).unwrap() == 0 {
                    break;
                }
                
                for word in buffer.split_whitespace() {
                    *word_counts.entry(word.to_string()).or_insert(0) += 1;
                }
                
                current_pos = reader.stream_position().unwrap();
                buffer.clear();
            }
            
            make_json(&word_counts)
        });
        
        handles.push(handle);
    }
    
    for handle in handles {
        println!("{}", handle.join().unwrap());
    }
}
And got the output: {"worst": 1, "spring": 1, "epoch": 2, "direct": 2, "foolishness,": 1, "nothing": 1, "before": 2, "age": 2, "it": 10, "had": 2, "other": 1, "us,": 2, "wisdom,": 1, "of": 10, "everything": 1, "Light,": 1, "the": 11, "all": 2, "best": 1, "to": 1, "Heaven,": 1, "way": 1, "hope,": 1, "season": 2, "were": 2, "winter": 1, "we": 4, "going": 2, "belief,": 1, "incredulity,": 1, "Darkness,": 1, "times,": 2, "was": 10, "despair,": 1} {} {} {} warning: unused import: `Read` --> main.rs:4:35 | 4 | use std::io::{BufRead, BufReader, Read, Seek, SeekFrom}; | ^^^^ | = note: `#[warn(unused_imports)]` on by default warning: 1 warning emitted

PyFunc

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

Equal Evaluation

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

Final Answer: True

Docker Setup

I have setup the docker container to run the model evaluation.

Initial Query

Write a self-contained Rust program that prints a JSON output of how often each word appears in a text file located in /tmp/file.txt. So if the file contains "This is is is, an example" then the program should print to stdout. {"This": 1, "is": 2, "is,": 1, "an": 1, "example": 1} Don't import any crates that would require a Cargo.toml file. I'll just compile it with `rustc yourfile.rs` and it should work. The program should be run by calling /path/to/rust_word_count with no arguments. Make it run in parallel on 4 cores at the same time, each job taking ~1/4 of the file. Print out 4 differnt json dicts, one per line. I'll do the merging. Do not import serde_json, write json output from scratch.

LLM Generation

Query

Write a self-contained Rust program that prints a JSON output of how often each word appears in a text file located in /tmp/file.txt. So if the file contains "This is is is, an example" then the program should print to stdout. {"This": 1, "is": 2, "is,": 1, "an": 1, "example": 1} Don't import any crates that would require a Cargo.toml file. I'll just compile it with `rustc yourfile.rs` and it should work. The program should be run by calling /path/to/rust_word_count with no arguments. Make it run in parallel on 4 cores at the same time, each job taking ~1/4 of the file. Print out 4 differnt json dicts, one per line. I'll do the merging. Do not import serde_json, write json output from scratch.

Output

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

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

fn get_file_size(file: &File) -> u64 {
    file.metadata().unwrap().len()
}

fn map_to_json(map: &HashMap<String, usize>) -> String {
    let mut result = String::from("{");
    let mut first = true;
    
    for (key, value) in map.iter() {
        if !first {
            result.push_str(", ");
        }
        first = false;
        result.push('"');
        result.push_str(key);
        result.push_str("\": ");
        result.push_str(&value.to_string());
    }
    
    result.push('}');
    result
}

fn process_chunk(content: String) -> HashMap<String, usize> {
    let mut word_count = HashMap::new();
    
    for word in content.split_whitespace() {
        *word_count.entry(word.to_string()).or_insert(0) += 1;
    }
    
    word_count
}

fn main() {
    let file = File::open("/tmp/file.txt").unwrap();
    let file_size = get_file_size(&file);
    let chunk_size = file_size / 4;
    
    let results = Arc::new(Mutex::new(Vec::new()));
    let mut handles = vec![];
    
    for i in 0..4 {
        let start = i * chunk_size;
        let end = if i == 3 { file_size } else { (i + 1) * chunk_size };
        let mut file_clone = File::open("/tmp/file.txt").unwrap();
        let results = Arc::clone(&results);
        
        let handle = thread::spawn(move || {
            let mut content = String::new();
            file_clone.seek(SeekFrom::Start(start)).unwrap();
            let mut reader = BufReader::new(file_clone);
            
            // If not the first chunk, skip partial word
            if i > 0 {
                let mut first_word = String::new();
                reader.read_line(&mut first_word).unwrap();
            }
            
            let mut buffer = String::new();
            while reader.read_line(&mut buffer).unwrap() > 0 {
                if reader.stream_position().unwrap() > end {
                    break;
                }
                content.push_str(&buffer);
                buffer.clear();
            }
            
            let word_count = process_chunk(content);
            results.lock().unwrap().push(word_count);
        });
        
        handles.push(handle);
    }
    
    for handle in handles {
        handle.join().unwrap();
    }
    
    let results = results.lock().unwrap();
    for result in results.iter() {
        println!("{}", map_to_json(result));
    }
}
This program: 1. Opens the file at `/tmp/file.txt` 2. Splits it into 4 roughly equal chunks 3. Processes each chunk in parallel using threads 4. For each chunk: - Skips the first partial word (except for the first chunk) - Counts word frequencies - Creates a HashMap of word counts 5. Prints one JSON dictionary per line for each chunk A few notes: - The program handles word boundaries between chunks by skipping partial words at chunk boundaries - It uses only standard library features - The JSON output is generated manually without external crates - Each thread processes approximately 1/4 of the file - The output will be 4 separate JSON dictionaries, one per line To compile and run: 
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rustc word_count.rs
./word_count
The output will look something like: 
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{"word1": 5, "word2": 3}
{"word3": 2, "word4": 4}
{"word5": 1, "word2": 2}
{"word6": 3, "word7": 1}
Each line represents the word counts from one chunk of the file. You'll need to merge these counts yourself to get the final total counts.

Extract Code

I extracted the following code from that output: 

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

fn get_file_size(file: &File) -> u64 {
    file.metadata().unwrap().len()
}

fn map_to_json(map: &HashMap<String, usize>) -> String {
    let mut result = String::from("{");
    let mut first = true;
    
    for (key, value) in map.iter() {
        if !first {
            result.push_str(", ");
        }
        first = false;
        result.push('"');
        result.push_str(key);
        result.push_str("\": ");
        result.push_str(&value.to_string());
    }
    
    result.push('}');
    result
}

fn process_chunk(content: String) -> HashMap<String, usize> {
    let mut word_count = HashMap::new();
    
    for word in content.split_whitespace() {
        *word_count.entry(word.to_string()).or_insert(0) += 1;
    }
    
    word_count
}

fn main() {
    let file = File::open("/tmp/file.txt").unwrap();
    let file_size = get_file_size(&file);
    let chunk_size = file_size / 4;
    
    let results = Arc::new(Mutex::new(Vec::new()));
    let mut handles = vec![];
    
    for i in 0..4 {
        let start = i * chunk_size;
        let end = if i == 3 { file_size } else { (i + 1) * chunk_size };
        let mut file_clone = File::open("/tmp/file.txt").unwrap();
        let results = Arc::clone(&results);
        
        let handle = thread::spawn(move || {
            let mut content = String::new();
            file_clone.seek(SeekFrom::Start(start)).unwrap();
            let mut reader = BufReader::new(file_clone);
            
            // If not the first chunk, skip partial word
            if i > 0 {
                let mut first_word = String::new();
                reader.read_line(&mut first_word).unwrap();
            }
            
            let mut buffer = String::new();
            while reader.read_line(&mut buffer).unwrap() > 0 {
                if reader.stream_position().unwrap() > end {
                    break;
                }
                content.push_str(&buffer);
                buffer.clear();
            }
            
            let word_count = process_chunk(content);
            results.lock().unwrap().push(word_count);
        });
        
        handles.push(handle);
    }
    
    for handle in handles {
        handle.join().unwrap();
    }
    
    let results = results.lock().unwrap();
    for result in results.iter() {
        println!("{}", map_to_json(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, Read, Seek, SeekFrom}; use std::sync::{Arc, Mutex}; use std::thread; fn get_file_size(file: &File) -> u64 { file.metadata().unwrap().len() } fn map_to_json(map: &HashMap<String, usize>) -> String { let mut result = String::from("{"); let mut first = true; for (key, value) in map.iter() { if !first { result.push_str(", "); } first = false; result.push('"'); result.push_str(key); result.push_str("\": "); result.push_str(&value.to_string()); } result.push('}'); result } fn process_chunk(content: String) -> HashMap<String, usize> { let mut word_count = HashMap::new(); for word in content.split_whitespace() { *word_count.entry(word.to_string()).or_insert(0) += 1; } word_count } fn main() { let file = File::open("/tmp/file.txt").unwrap(); let file_size = get_file_size(&file); let chunk_size = file_size / 4; let results = Arc::new(Mutex::new(Vec::new())); let mut handles = vec![]; for i in 0..4 { let start = i * chunk_size; let end = if i == 3 { file_size } else { (i + 1) * chunk_size }; let mut file_clone = File::open("/tmp/file.txt").unwrap(); let results = Arc::clone(&results); let handle = thread::spawn(move || { let mut content = String::new(); file_clone.seek(SeekFrom::Start(start)).unwrap(); let mut reader = BufReader::new(file_clone); // If not the first chunk, skip partial word if i > 0 { let mut first_word = String::new(); reader.read_line(&mut first_word).unwrap(); } let mut buffer = String::new(); while reader.read_line(&mut buffer).unwrap() > 0 { if reader.stream_position().unwrap() > end { break; } content.push_str(&buffer); buffer.clear(); } let word_count = process_chunk(content); results.lock().unwrap().push(word_count); }); handles.push(handle); } for handle in handles { handle.join().unwrap(); } let results = results.lock().unwrap(); for result in results.iter() { println!("{}", map_to_json(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: 

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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 get_file_size(file: &File) -> u64 {
    file.metadata().unwrap().len()
}

fn map_to_json(map: &HashMap<String, usize>) -> String {
    let mut result = String::from("{");
    let mut first = true;
    
    for (key, value) in map.iter() {
        if !first {
            result.push_str(", ");
        }
        first = false;
        result.push('"');
        result.push_str(key);
        result.push_str("\": ");
        result.push_str(&value.to_string());
    }
    
    result.push('}');
    result
}

fn process_chunk(content: String) -> HashMap<String, usize> {
    let mut word_count = HashMap::new();
    
    for word in content.split_whitespace() {
        *word_count.entry(word.to_string()).or_insert(0) += 1;
    }
    
    word_count
}

fn main() {
    let file = File::open("/tmp/file.txt").unwrap();
    let file_size = get_file_size(&file);
    let chunk_size = file_size / 4;
    
    let results = Arc::new(Mutex::new(Vec::new()));
    let mut handles = vec![];
    
    for i in 0..4 {
        let start = i * chunk_size;
        let end = if i == 3 { file_size } else { (i + 1) * chunk_size };
        let mut file_clone = File::open("/tmp/file.txt").unwrap();
        let results = Arc::clone(&results);
        
        let handle = thread::spawn(move || {
            let mut content = String::new();
            file_clone.seek(SeekFrom::Start(start)).unwrap();
            let mut reader = BufReader::new(file_clone);
            
            // If not the first chunk, skip partial word
            if i > 0 {
                let mut first_word = String::new();
                reader.read_line(&mut first_word).unwrap();
            }
            
            let mut buffer = String::new();
            while reader.read_line(&mut buffer).unwrap() > 0 {
                if reader.stream_position().unwrap() > end {
                    break;
                }
                content.push_str(&buffer);
                buffer.clear();
            }
            
            let word_count = process_chunk(content);
            results.lock().unwrap().push(word_count);
        });
        
        handles.push(handle);
    }
    
    for handle in handles {
        handle.join().unwrap();
    }
    
    let results = results.lock().unwrap();
    for result in results.iter() {
        println!("{}", map_to_json(result));
    }
}
And got the output: {} {} {} {} warning: unused import: `Read` --> main.rs:4:35 | 4 | use std::io::{BufRead, BufReader, Read, Seek, SeekFrom}; | ^^^^ | = note: `#[warn(unused_imports)]` on by default warning: 1 warning emitted

PyFunc

Resulting in output: []

Equal Evaluation

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

Final Answer: False

Docker Setup

I have setup the docker container to run the model evaluation.

Initial Query

Write a self-contained Rust program that prints a JSON output of how often each word appears in a text file located in /tmp/file.txt. So if the file contains "This is is is, an example" then the program should print to stdout. {"This": 1, "is": 2, "is,": 1, "an": 1, "example": 1} Don't import any crates that would require a Cargo.toml file. I'll just compile it with `rustc yourfile.rs` and it should work. The program should be run by calling /path/to/rust_word_count with no arguments. Make it run in parallel on 4 cores at the same time, each job taking ~1/4 of the file. Print out 4 differnt json dicts, one per line. I'll do the merging. Do not import serde_json, write json output from scratch.

LLM Generation

Query

Write a self-contained Rust program that prints a JSON output of how often each word appears in a text file located in /tmp/file.txt. So if the file contains "This is is is, an example" then the program should print to stdout. {"This": 1, "is": 2, "is,": 1, "an": 1, "example": 1} Don't import any crates that would require a Cargo.toml file. I'll just compile it with `rustc yourfile.rs` and it should work. The program should be run by calling /path/to/rust_word_count with no arguments. Make it run in parallel on 4 cores at the same time, each job taking ~1/4 of the file. Print out 4 differnt json dicts, one per line. I'll do the merging. Do not import serde_json, write json output from scratch.

Output

Here's a self-contained Rust program that processes a text file in parallel and outputs word counts as JSON for each chunk: 

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

fn count_words(text: &str) -> HashMap<String, usize> {
    let mut word_counts = HashMap::new();
    for word in text.split_whitespace() {
        let count = word_counts.entry(word.to_string()).or_insert(0);
        *count += 1;
    }
    word_counts
}

fn to_json(map: &HashMap<String, usize>) -> String {
    let mut result = String::from("{");
    let mut first = true;
    
    for (key, value) in map.iter() {
        if !first {
            result.push_str(", ");
        }
        first = false;
        result.push('"');
        result.push_str(key);
        result.push_str("\": ");
        result.push_str(&value.to_string());
    }
    
    result.push('}');
    result
}

fn main() {
    let file = File::open("/tmp/file.txt").unwrap();
    let file_size = file.metadata().unwrap().len();
    let chunk_size = file_size / 4;
    
    let mut handles = vec![];
    
    for i in 0..4 {
        let mut file = File::open("/tmp/file.txt").unwrap();
        let start = i * chunk_size;
        let end = if i == 3 { file_size } else { (i + 1) * chunk_size };
        
        let handle = thread::spawn(move || {
            file.seek(SeekFrom::Start(start)).unwrap();
            let mut reader = BufReader::new(file);
            
            // If not at start of file, read and discard partial word
            if start > 0 {
                let mut partial = String::new();
                reader.read_line(&mut partial).unwrap();
            }
            
            let mut content = String::new();
            let mut bytes_read = 0;
            
            while bytes_read < end - start {
                let mut line = String::new();
                let read = reader.read_line(&mut line).unwrap();
                if read == 0 { break; }
                
                bytes_read += read as u64;
                if bytes_read > end - start {
                    // Trim the last line if we've read too much
                    line.truncate((read - (bytes_read - (end - start)) as usize) as usize);
                }
                content.push_str(&line);
            }
            
            let counts = count_words(&content);
            to_json(&counts)
        });
        
        handles.push(handle);
    }
    
    for handle in handles {
        match handle.join() {
            Ok(json) => println!("{}", json),
            Err(_) => eprintln!("Thread panicked"),
        }
    }
}
This program: 1. Opens the file at `/tmp/file.txt` 2. Divides the file into 4 roughly equal chunks 3. Spawns 4 threads, each processing its chunk 4. Each thread: - Seeks to its starting position - Reads its portion of the file - Counts words in its chunk - Converts the counts to JSON format 5. Prints the JSON output for each chunk on separate lines Note that this approach has some limitations: - Words that span chunk boundaries might be counted incorrectly - The JSON is generated in a basic way without escaping special characters - The chunks are divided by bytes, not words, so there might be some imprecision To compile and run: 
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rustc wordcount.rs
./wordcount
The output will be 4 lines of JSON, each representing the word counts for one chunk of the file.

Extract Code

I extracted the following code from that output: 

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

fn count_words(text: &str) -> HashMap<String, usize> {
    let mut word_counts = HashMap::new();
    for word in text.split_whitespace() {
        let count = word_counts.entry(word.to_string()).or_insert(0);
        *count += 1;
    }
    word_counts
}

fn to_json(map: &HashMap<String, usize>) -> String {
    let mut result = String::from("{");
    let mut first = true;
    
    for (key, value) in map.iter() {
        if !first {
            result.push_str(", ");
        }
        first = false;
        result.push('"');
        result.push_str(key);
        result.push_str("\": ");
        result.push_str(&value.to_string());
    }
    
    result.push('}');
    result
}

fn main() {
    let file = File::open("/tmp/file.txt").unwrap();
    let file_size = file.metadata().unwrap().len();
    let chunk_size = file_size / 4;
    
    let mut handles = vec![];
    
    for i in 0..4 {
        let mut file = File::open("/tmp/file.txt").unwrap();
        let start = i * chunk_size;
        let end = if i == 3 { file_size } else { (i + 1) * chunk_size };
        
        let handle = thread::spawn(move || {
            file.seek(SeekFrom::Start(start)).unwrap();
            let mut reader = BufReader::new(file);
            
            // If not at start of file, read and discard partial word
            if start > 0 {
                let mut partial = String::new();
                reader.read_line(&mut partial).unwrap();
            }
            
            let mut content = String::new();
            let mut bytes_read = 0;
            
            while bytes_read < end - start {
                let mut line = String::new();
                let read = reader.read_line(&mut line).unwrap();
                if read == 0 { break; }
                
                bytes_read += read as u64;
                if bytes_read > end - start {
                    // Trim the last line if we've read too much
                    line.truncate((read - (bytes_read - (end - start)) as usize) as usize);
                }
                content.push_str(&line);
            }
            
            let counts = count_words(&content);
            to_json(&counts)
        });
        
        handles.push(handle);
    }
    
    for handle in handles {
        match handle.join() {
            Ok(json) => println!("{}", json),
            Err(_) => eprintln!("Thread panicked"),
        }
    }
}

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::thread; fn count_words(text: &str) -> HashMap<String, usize> { let mut word_counts = HashMap::new(); for word in text.split_whitespace() { let count = word_counts.entry(word.to_string()).or_insert(0); *count += 1; } word_counts } fn to_json(map: &HashMap<String, usize>) -> String { let mut result = String::from("{"); let mut first = true; for (key, value) in map.iter() { if !first { result.push_str(", "); } first = false; result.push('"'); result.push_str(key); result.push_str("\": "); result.push_str(&value.to_string()); } result.push('}'); result } fn main() { let file = File::open("/tmp/file.txt").unwrap(); let file_size = file.metadata().unwrap().len(); let chunk_size = file_size / 4; let mut handles = vec![]; for i in 0..4 { let mut file = File::open("/tmp/file.txt").unwrap(); let start = i * chunk_size; let end = if i == 3 { file_size } else { (i + 1) * chunk_size }; let handle = thread::spawn(move || { file.seek(SeekFrom::Start(start)).unwrap(); let mut reader = BufReader::new(file); // If not at start of file, read and discard partial word if start > 0 { let mut partial = String::new(); reader.read_line(&mut partial).unwrap(); } let mut content = String::new(); let mut bytes_read = 0; while bytes_read < end - start { let mut line = String::new(); let read = reader.read_line(&mut line).unwrap(); if read == 0 { break; } bytes_read += read as u64; if bytes_read > end - start { // Trim the last line if we've read too much line.truncate((read - (bytes_read - (end - start)) as usize) as usize); } content.push_str(&line); } let counts = count_words(&content); to_json(&counts) }); handles.push(handle); } for handle in handles { match handle.join() { Ok(json) => println!("{}", json), Err(_) => eprintln!("Thread panicked"), } } } Answer either 'The student passes' or 'The student fails'.

Output

The student passes.

Substring Evaluation

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

Run Code Interpreter

Running the following program: 

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

fn count_words(text: &str) -> HashMap<String, usize> {
    let mut word_counts = HashMap::new();
    for word in text.split_whitespace() {
        let count = word_counts.entry(word.to_string()).or_insert(0);
        *count += 1;
    }
    word_counts
}

fn to_json(map: &HashMap<String, usize>) -> String {
    let mut result = String::from("{");
    let mut first = true;
    
    for (key, value) in map.iter() {
        if !first {
            result.push_str(", ");
        }
        first = false;
        result.push('"');
        result.push_str(key);
        result.push_str("\": ");
        result.push_str(&value.to_string());
    }
    
    result.push('}');
    result
}

fn main() {
    let file = File::open("/tmp/file.txt").unwrap();
    let file_size = file.metadata().unwrap().len();
    let chunk_size = file_size / 4;
    
    let mut handles = vec![];
    
    for i in 0..4 {
        let mut file = File::open("/tmp/file.txt").unwrap();
        let start = i * chunk_size;
        let end = if i == 3 { file_size } else { (i + 1) * chunk_size };
        
        let handle = thread::spawn(move || {
            file.seek(SeekFrom::Start(start)).unwrap();
            let mut reader = BufReader::new(file);
            
            // If not at start of file, read and discard partial word
            if start > 0 {
                let mut partial = String::new();
                reader.read_line(&mut partial).unwrap();
            }
            
            let mut content = String::new();
            let mut bytes_read = 0;
            
            while bytes_read < end - start {
                let mut line = String::new();
                let read = reader.read_line(&mut line).unwrap();
                if read == 0 { break; }
                
                bytes_read += read as u64;
                if bytes_read > end - start {
                    // Trim the last line if we've read too much
                    line.truncate((read - (bytes_read - (end - start)) as usize) as usize);
                }
                content.push_str(&line);
            }
            
            let counts = count_words(&content);
            to_json(&counts)
        });
        
        handles.push(handle);
    }
    
    for handle in handles {
        match handle.join() {
            Ok(json) => println!("{}", json),
            Err(_) => eprintln!("Thread panicked"),
        }
    }
}
And got the output: {"the": 4, "wisdom,": 1, "foolish": 1, "times,": 2, "it": 4, "was": 4, "of": 4, "worst": 1, "age": 2, "best": 1} {} {} {} warning: unused import: `Read` --> main.rs:4:35 | 4 | use std::io::{BufRead, BufReader, Read, Seek, SeekFrom}; | ^^^^ | = note: `#[warn(unused_imports)]` on by default warning: 1 warning emitted

PyFunc

Resulting in output: [('age', 2), ('best', 1), ('foolish', 1), ('it', 4), ('of', 4), ('the', 4), ('times,', 2), ('was', 4), ('wisdom,', 1), ('worst', 1)]

Equal Evaluation

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

Final Answer: False

Docker Setup

I have setup the docker container to run the model evaluation.

Initial Query

Write a self-contained Rust program that prints a JSON output of how often each word appears in a text file located in /tmp/file.txt. So if the file contains "This is is is, an example" then the program should print to stdout. {"This": 1, "is": 2, "is,": 1, "an": 1, "example": 1} Don't import any crates that would require a Cargo.toml file. I'll just compile it with `rustc yourfile.rs` and it should work. The program should be run by calling /path/to/rust_word_count with no arguments. Make it run in parallel on 4 cores at the same time, each job taking ~1/4 of the file. Print out 4 differnt json dicts, one per line. I'll do the merging. Do not import serde_json, write json output from scratch.

LLM Generation

Query

Write a self-contained Rust program that prints a JSON output of how often each word appears in a text file located in /tmp/file.txt. So if the file contains "This is is is, an example" then the program should print to stdout. {"This": 1, "is": 2, "is,": 1, "an": 1, "example": 1} Don't import any crates that would require a Cargo.toml file. I'll just compile it with `rustc yourfile.rs` and it should work. The program should be run by calling /path/to/rust_word_count with no arguments. Make it run in parallel on 4 cores at the same time, each job taking ~1/4 of the file. Print out 4 differnt json dicts, one per line. I'll do the merging. Do not import serde_json, write json output from scratch.

Output

Here's a self-contained Rust program that processes a text file in parallel and outputs word counts as JSON for each chunk: 

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use std::collections::HashMap;
use std::fs::File;
use std::io::{BufRead, BufReader, Read, Seek, SeekFrom};
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 mut handles = vec![];

    for i in 0..4 {
        let mut file = file.try_clone().expect("Failed to clone file handle");
        
        let handle = thread::spawn(move || {
            let start = i * chunk_size;
            let end = if i == 3 { file_size } else { (i + 1) * chunk_size };
            
            file.seek(SeekFrom::Start(start)).expect("Failed to seek");
            let mut reader = BufReader::new(file);
            
            // Skip partial word at start (except for first chunk)
            if i > 0 {
                let mut first_line = String::new();
                reader.read_line(&mut first_line).expect("Failed to read line");
            }

            let mut word_counts = HashMap::new();
            let mut content = String::new();
            reader.take(end - start).read_to_string(&mut content).expect("Failed to read chunk");

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

            // Convert HashMap to JSON string manually
            let mut json = String::from("{");
            let mut first = true;
            for (word, count) in word_counts.iter() {
                if !first {
                    json.push_str(", ");
                }
                first = false;
                json.push('"');
                json.push_str(word);
                json.push_str("\": ");
                json.push_str(&count.to_string());
            }
            json.push('}');
            
            json
        });
        handles.push(handle);
    }

    // Print results from each thread
    for handle in handles {
        match handle.join() {
            Ok(json) => println!("{}", json),
            Err(_) => eprintln!("Thread panicked"),
        }
    }
}
This program: 1. Opens the file at `/tmp/file.txt` 2. Divides the file into 4 roughly equal chunks 3. Spawns 4 threads, each processing its chunk 4. Each thread: - Seeks to its starting position - Skips the first partial word (except for the first chunk) - Counts words in its chunk - Converts the counts to a JSON string manually 5. Prints the JSON output from each thread on separate lines To compile and run: 
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rustc wordcount.rs
./wordcount
The output will be 4 lines of JSON, one from each thread. Each line will be a JSON object containing word counts for that chunk of the file. Note that words that span chunk boundaries might be counted incorrectly, and the same word might appear in multiple chunks. You'll need to merge the results externally. The JSON is generated manually without external crates, using simple string concatenation. Each JSON object follows the format you specified.

Extract Code

I extracted the following code from that output: 

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use std::collections::HashMap;
use std::fs::File;
use std::io::{BufRead, BufReader, Read, Seek, SeekFrom};
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 mut handles = vec![];

    for i in 0..4 {
        let mut file = file.try_clone().expect("Failed to clone file handle");
        
        let handle = thread::spawn(move || {
            let start = i * chunk_size;
            let end = if i == 3 { file_size } else { (i + 1) * chunk_size };
            
            file.seek(SeekFrom::Start(start)).expect("Failed to seek");
            let mut reader = BufReader::new(file);
            
            // Skip partial word at start (except for first chunk)
            if i > 0 {
                let mut first_line = String::new();
                reader.read_line(&mut first_line).expect("Failed to read line");
            }

            let mut word_counts = HashMap::new();
            let mut content = String::new();
            reader.take(end - start).read_to_string(&mut content).expect("Failed to read chunk");

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

            // Convert HashMap to JSON string manually
            let mut json = String::from("{");
            let mut first = true;
            for (word, count) in word_counts.iter() {
                if !first {
                    json.push_str(", ");
                }
                first = false;
                json.push('"');
                json.push_str(word);
                json.push_str("\": ");
                json.push_str(&count.to_string());
            }
            json.push('}');
            
            json
        });
        handles.push(handle);
    }

    // Print results from each thread
    for handle in handles {
        match handle.join() {
            Ok(json) => println!("{}", json),
            Err(_) => eprintln!("Thread panicked"),
        }
    }
}

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::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 mut handles = vec![]; for i in 0..4 { let mut file = file.try_clone().expect("Failed to clone file handle"); let handle = thread::spawn(move || { let start = i * chunk_size; let end = if i == 3 { file_size } else { (i + 1) * chunk_size }; file.seek(SeekFrom::Start(start)).expect("Failed to seek"); let mut reader = BufReader::new(file); // Skip partial word at start (except for first chunk) if i > 0 { let mut first_line = String::new(); reader.read_line(&mut first_line).expect("Failed to read line"); } let mut word_counts = HashMap::new(); let mut content = String::new(); reader.take(end - start).read_to_string(&mut content).expect("Failed to read chunk"); for word in content.split_whitespace() { *word_counts.entry(word.to_string()).or_insert(0) += 1; } // Convert HashMap to JSON string manually let mut json = String::from("{"); let mut first = true; for (word, count) in word_counts.iter() { if !first { json.push_str(", "); } first = false; json.push('"'); json.push_str(word); json.push_str("\": "); json.push_str(&count.to_string()); } json.push('}'); json }); handles.push(handle); } // Print results from each thread for handle in handles { match handle.join() { Ok(json) => println!("{}", json), Err(_) => eprintln!("Thread panicked"), } } } Answer either 'The student passes' or 'The student fails'.

Output

The student passes.

Substring Evaluation

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

Run Code Interpreter

Running the following program: 

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use std::collections::HashMap;
use std::fs::File;
use std::io::{BufRead, BufReader, Read, Seek, SeekFrom};
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 mut handles = vec![];

    for i in 0..4 {
        let mut file = file.try_clone().expect("Failed to clone file handle");
        
        let handle = thread::spawn(move || {
            let start = i * chunk_size;
            let end = if i == 3 { file_size } else { (i + 1) * chunk_size };
            
            file.seek(SeekFrom::Start(start)).expect("Failed to seek");
            let mut reader = BufReader::new(file);
            
            // Skip partial word at start (except for first chunk)
            if i > 0 {
                let mut first_line = String::new();
                reader.read_line(&mut first_line).expect("Failed to read line");
            }

            let mut word_counts = HashMap::new();
            let mut content = String::new();
            reader.take(end - start).read_to_string(&mut content).expect("Failed to read chunk");

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

            // Convert HashMap to JSON string manually
            let mut json = String::from("{");
            let mut first = true;
            for (word, count) in word_counts.iter() {
                if !first {
                    json.push_str(", ");
                }
                first = false;
                json.push('"');
                json.push_str(word);
                json.push_str("\": ");
                json.push_str(&count.to_string());
            }
            json.push('}');
            
            json
        });
        handles.push(handle);
    }

    // Print results from each thread
    for handle in handles {
        match handle.join() {
            Ok(json) => println!("{}", json),
            Err(_) => eprintln!("Thread panicked"),
        }
    }
}
And got the output: {"worst": 1, "was": 4, "age": 2, "times,": 2, "of": 4, "wisdom,": 1, "the": 4, "foolish": 1, "best": 1, "it": 4} {} {"us,": 2, "going": 2, "nothing": 1, "had": 1, "the": 1, "to": 1, "other": 1, "way": 1, "before": 1, "were": 2, "all": 2, "direct": 2, "Heaven,": 1, "we": 3} {}

PyFunc

Resulting in output: [('Heaven,', 1), ('age', 2), ('all', 2), ('before', 1), ('best', 1), ('direct', 2), ('foolish', 1), ('going', 2), ('had', 1), ('it', 4), ('nothing', 1), ('of', 4), ('other', 1), ('the', 5), ('times,', 2), ('to', 1), ('us,', 2), ('was', 4), ('way', 1), ('we', 3), ('were', 2), ('wisdom,', 1), ('worst', 1)]

Equal Evaluation

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

Final Answer: False

Docker Setup

I have setup the docker container to run the model evaluation.

Initial Query

Write a self-contained Rust program that prints a JSON output of how often each word appears in a text file located in /tmp/file.txt. So if the file contains "This is is is, an example" then the program should print to stdout. {"This": 1, "is": 2, "is,": 1, "an": 1, "example": 1} Don't import any crates that would require a Cargo.toml file. I'll just compile it with `rustc yourfile.rs` and it should work. The program should be run by calling /path/to/rust_word_count with no arguments. Make it run in parallel on 4 cores at the same time, each job taking ~1/4 of the file. Print out 4 differnt json dicts, one per line. I'll do the merging. Do not import serde_json, write json output from scratch.

LLM Generation

Query

Write a self-contained Rust program that prints a JSON output of how often each word appears in a text file located in /tmp/file.txt. So if the file contains "This is is is, an example" then the program should print to stdout. {"This": 1, "is": 2, "is,": 1, "an": 1, "example": 1} Don't import any crates that would require a Cargo.toml file. I'll just compile it with `rustc yourfile.rs` and it should work. The program should be run by calling /path/to/rust_word_count with no arguments. Make it run in parallel on 4 cores at the same time, each job taking ~1/4 of the file. Print out 4 differnt json dicts, one per line. I'll do the merging. Do not import serde_json, write json output from scratch.

Output

Here's a Rust program that meets those requirements: 

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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() {
    // Open the file
    let file = File::open("/tmp/file.txt").expect("Could not open file");
    let file_len = file.metadata().expect("Could not get metadata").len();
    
    // Calculate chunk sizes
    let chunk_size = file_len / 4;
    let mut handles = vec![];
    
    // Create 4 threads
    for i in 0..4 {
        let mut file = file.try_clone().expect("Could not clone file handle");
        
        let handle = thread::spawn(move || {
            let mut word_counts = HashMap::new();
            let start_pos = i * chunk_size;
            let end_pos = if i == 3 { file_len } else { (i + 1) * chunk_size };
            
            // Seek to the starting position
            file.seek(SeekFrom::Start(start_pos)).expect("Could not seek");
            let reader = BufReader::new(file);
            
            // Read and count words
            let mut current_pos = start_pos;
            for line in reader.lines() {
                if current_pos >= end_pos { break; }
                
                if let Ok(line) = line {
                    current_pos += line.len() as u64 + 1; // +1 for newline
                    for word in line.split_whitespace() {
                        *word_counts.entry(word.to_string()).or_insert(0) += 1;
                    }
                }
            }
            
            // Convert HashMap to JSON string manually
            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);
    }
    
    // Wait for all threads and print results
    for handle in handles {
        if let Ok(json) = handle.join() {
            println!("{}", json);
        }
    }
}
This program: 1. Opens the file at `/tmp/file.txt` 2. Splits the file into 4 roughly equal chunks based on file size 3. Creates 4 threads, each processing its chunk of the file 4. Each thread: - Seeks to its starting position - Reads lines until it reaches its end position - Counts words in its chunk using a HashMap - Converts its HashMap to a JSON string manually 5. Prints each thread's JSON output on separate lines To compile and run: 
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rustc wordcount.rs
./wordcount
Note that this approach has some limitations: - Words that span chunk boundaries might be split - It's not perfectly accurate for chunks since it reads complete lines - The chunk size is based on bytes, not words The output will be 4 lines of JSON, one from each thread. Each JSON object will contain the word counts for that thread's portion of the file. You'll need to merge these results yourself to get the final counts, but this gives you 4 separate counts from parallel processing of the file.

Extract Code

I extracted the following code from that output: 

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

fn main() {
    // Open the file
    let file = File::open("/tmp/file.txt").expect("Could not open file");
    let file_len = file.metadata().expect("Could not get metadata").len();
    
    // Calculate chunk sizes 
    let chunk_size = file_len / 4;
    let mut handles = vec![];
    
    // Create 4 threads
    for i in 0..4 {
        let mut file = file.try_clone().expect("Could not clone file handle");
        
        let handle = thread::spawn(move || {
            let mut word_counts = HashMap::new();
            let start_pos = i * chunk_size;
            let end_pos = if i == 3 { file_len } else { (i + 1) * chunk_size };
            
            // Seek to the starting position
            file.seek(SeekFrom::Start(start_pos)).expect("Could not seek");
            let reader = BufReader::new(file);
            
            // Read and count words
            let mut current_pos = start_pos;
            for line in reader.lines() {
                if current_pos >= end_pos { break; }
                
                if let Ok(line) = line {
                    current_pos += line.len() as u64 + 1; // +1 for newline
                    for word in line.split_whitespace() {
                        *word_counts.entry(word.to_string()).or_insert(0) += 1;
                    }
                }
            }
            
            // Convert HashMap to JSON string manually
            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);
    }
    
    // Wait for all threads and print results
    for handle in handles {
        if let Ok(json) = handle.join() {
            println!("{}", json);
        }
    }
}

Check if all of the following conditions are true:

LLM Generation

Query

Below is some student's code. I asked them to parallelize some code. Do not judge if it is correct, I have test cases for that. Logic errors are okay. So are synatx errors. Just tell me if they tried to parallelize it. use std::collections::HashMap; use std::fs::File; use std::io::{BufRead, BufReader, Seek, SeekFrom}; use std::thread; fn main() { // Open the file let file = File::open("/tmp/file.txt").expect("Could not open file"); let file_len = file.metadata().expect("Could not get metadata").len(); // Calculate chunk sizes let chunk_size = file_len / 4; let mut handles = vec![]; // Create 4 threads for i in 0..4 { let mut file = file.try_clone().expect("Could not clone file handle"); let handle = thread::spawn(move || { let mut word_counts = HashMap::new(); let start_pos = i * chunk_size; let end_pos = if i == 3 { file_len } else { (i + 1) * chunk_size }; // Seek to the starting position file.seek(SeekFrom::Start(start_pos)).expect("Could not seek"); let reader = BufReader::new(file); // Read and count words let mut current_pos = start_pos; for line in reader.lines() { if current_pos >= end_pos { break; } if let Ok(line) = line { current_pos += line.len() as u64 + 1; // +1 for newline for word in line.split_whitespace() { *word_counts.entry(word.to_string()).or_insert(0) += 1; } } } // Convert HashMap to JSON string manually 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); } // Wait for all threads and print results for handle in handles { if let Ok(json) = handle.join() { println!("{}", json); } } } Answer either 'The student passes' or 'The student fails'.

Output

The student passes.

Substring Evaluation

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

Run Code Interpreter

Running the following program: 

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

fn main() {
    // Open the file
    let file = File::open("/tmp/file.txt").expect("Could not open file");
    let file_len = file.metadata().expect("Could not get metadata").len();
    
    // Calculate chunk sizes 
    let chunk_size = file_len / 4;
    let mut handles = vec![];
    
    // Create 4 threads
    for i in 0..4 {
        let mut file = file.try_clone().expect("Could not clone file handle");
        
        let handle = thread::spawn(move || {
            let mut word_counts = HashMap::new();
            let start_pos = i * chunk_size;
            let end_pos = if i == 3 { file_len } else { (i + 1) * chunk_size };
            
            // Seek to the starting position
            file.seek(SeekFrom::Start(start_pos)).expect("Could not seek");
            let reader = BufReader::new(file);
            
            // Read and count words
            let mut current_pos = start_pos;
            for line in reader.lines() {
                if current_pos >= end_pos { break; }
                
                if let Ok(line) = line {
                    current_pos += line.len() as u64 + 1; // +1 for newline
                    for word in line.split_whitespace() {
                        *word_counts.entry(word.to_string()).or_insert(0) += 1;
                    }
                }
            }
            
            // Convert HashMap to JSON string manually
            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);
    }
    
    // Wait for all threads and print results
    for handle in handles {
        if let Ok(json) = handle.join() {
            println!("{}", json);
        }
    }
}
And got the output: {"epoch": 2, "the": 11, "best": 1, "spring": 1, "us,": 2, "had": 2, "to": 1, "age": 2, "foolishness,": 1, "despair,": 1, "all": 2, "of": 10, "direct": 2, "before": 2, "Darkness,": 1, "was": 10, "everything": 1, "times,": 2, "nothing": 1, "wisdom,": 1, "we": 4, "worst": 1, "incredulity,": 1, "Light,": 1, "winter": 1, "Heaven,": 1, "going": 2, "way": 1, "it": 10, "hope,": 1, "were": 2, "belief,": 1, "season": 2, "other": 1} {} {"was": 2, "spring": 1, "Darkness,": 1, "winter": 1, "the": 3, "we": 4, "everything": 1, "all": 2, "going": 2, "direct": 2, "despair,": 1, "to": 1, "way": 1, "season": 1, "Heaven,": 1, "other": 1, "had": 2, "e": 1, "of": 3, "it": 2, "hope,": 1, "before": 2, "us,": 2, "nothing": 1, "were": 2} {"belief,": 1, "ness,": 1, "of": 6, "it": 6, "was": 6, "Darkness,": 1, "epoch": 2, "incredulity,": 1, "nothing": 1, "spring": 1, "were": 2, "us,": 2, "season": 2, "had": 2, "direct": 2, "Light,": 1, "everything": 1, "all": 2, "hope,": 1, "despair,": 1, "Heaven,": 1, "other": 1, "the": 7, "winter": 1, "before": 2, "going": 2, "way": 1, "to": 1, "we": 4}

PyFunc

Resulting in output: [('Darkness,', 3), ('Heaven,', 3), ('Light,', 2), ('age', 2), ('all', 6), ('before', 6), ('belief,', 2), ('best', 1), ('despair,', 3), ('direct', 6), ('e', 1), ('epoch', 4), ('everything', 3), ('foolishness,', 1), ('going', 6), ('had', 6), ('hope,', 3), ('incredulity,', 2), ('it', 18), ('ness,', 1), ('nothing', 3), ('of', 19), ('other', 3), ('season', 5), ('spring', 3), ('the', 21), ('times,', 2), ('to', 3), ('us,', 6), ('was', 18), ('way', 3), ('we', 12), ('were', 6), ('winter', 3), ('wisdom,', 1), ('worst', 1)]

Equal Evaluation

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

Final Answer: False