Docker Setup

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

Initial Query

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

LLM Generation

Query

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

Output

Certainly! Below is a self-contained Rust program that reads a text file located at `/tmp/file.txt`, splits it into four approximately equal parts without breaking words, counts the occurrence of each word in parallel across four threads, and prints out four separate JSON dictionaries—one per line—for each thread's result. ### **Program Overview** 1. **File Reading**: The program reads the entire content of `/tmp/file.txt` into a string. 2. **Chunk Division**: It calculates the approximate byte size for each of the four chunks and adjusts the boundaries to ensure words are not split between chunks. 3. **Parallel Processing**: Using Rust's standard library threads, the program spawns four threads, each processing its designated chunk to count word occurrences. 4. **JSON Serialization**: Each thread serializes its word count `HashMap` into a JSON-formatted string. 5. **Output**: The main thread collects the JSON strings from all threads and prints each on a separate line to `stdout`. 6. **Assumptions**: - Words are separated by whitespace. - Punctuation attached to words is considered part of the word (e.g., "is," is different from "is"). - The file is encoded in UTF-8. ### **Complete Rust Program**

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

fn main() -> io::Result<()> {
    // Path to the input file
    let file_path = "/tmp/file.txt";

    // Read the entire file into a String
    let mut file = File::open(file_path)?;
    let mut contents = String::new();
    file.read_to_string(&mut contents)?;

    // Total number of bytes in the file
    let total_bytes = contents.len();
    // Calculate approximate chunk size
    let chunk_size = total_bytes / 4;

    // Find split indices to avoid breaking words
    let mut split_indices = Vec::new();
    split_indices.push(0); // Start of first chunk

    for i in 1..4 {
        let mut split = i * chunk_size;
        // Ensure we don't split in the middle of a UTF-8 character
        while !contents.is_char_boundary(split) && split < total_bytes {
            split += 1;
        }
        // Move to the next whitespace character to avoid splitting a word
        while split < total_bytes && !contents.chars().nth(split).unwrap().is_whitespace() {
            split += 1;
        }
        split_indices.push(split);
    }
    split_indices.push(total_bytes); // End of last chunk

    // Create a channel to collect results from threads
    let (tx, rx) = mpsc::channel();

    // Spawn 4 threads
    for i in 0..4 {
        let tx_clone = tx.clone();
        let start = split_indices[i];
        let end = split_indices[i + 1];
        let chunk = contents[start..end].to_string();

        thread::spawn(move || {
            let word_count = count_words(&chunk);
            let json = hashmap_to_json(&word_count);
            tx_clone.send(json).expect("Failed to send data to main thread");
        });
    }

    // Drop the original sender to avoid hanging
    drop(tx);

    // Collect and print the JSON results
    for received in rx {
        println!("{}", received);
    }

    Ok(())
}

/// Counts the occurrences of each word in the given text.
fn count_words(text: &str) -> HashMap<String, usize> {
    let mut map = HashMap::new();
    for word in text.split_whitespace() {
        *map.entry(word.to_string()).or_insert(0) += 1;
    }
    map
}

/// Converts a HashMap of word counts to a JSON-formatted string.
fn hashmap_to_json(map: &HashMap<String, usize>) -> String {
    let mut json = String::from("{");
    let mut first = true;
    for (key, value) in map {
        if !first {
            json.push_str(", ");
        }
        first = false;
        // Escape double quotes in keys
        let escaped_key = key.replace('"', "\\\"");
        json.push_str(&format!("\"{}\": {}", escaped_key, value));
    }
    json.push('}');
    json
}
### **Explanation of Key Components** 1. **Reading the File**: - The program uses `File::open` to open `/tmp/file.txt` and reads its contents into a `String` named `contents`. 2. **Determining Chunk Boundaries**: - It calculates the total number of bytes and divides them by four to get the approximate size for each chunk. - To prevent splitting words between chunks, it adjusts each split index to the next whitespace character after the initial split point. - It ensures that the split does not occur in the middle of a UTF-8 character by checking `is_char_boundary`. 3. **Threading and Communication**: - A channel (`mpsc::channel`) is established for threads to send their JSON results back to the main thread. - Four threads are spawned, each processing a slice of the text defined by the calculated `start` and `end` indices. - Each thread counts word occurrences in its chunk and sends the resulting JSON string back through the channel. 4. **Counting Words**: - The `count_words` function splits the text by whitespace and counts the occurrences using a `HashMap`. 5. **Serializing to JSON**: - The `hashmap_to_json` function manually constructs a JSON string from the `HashMap`. - It escapes any double quotes in the keys to ensure valid JSON formatting. 6. **Output**: - The main thread collects the JSON strings from all threads and prints each one on a separate line. ### **Compilation and Execution** To compile and run the program: 1. **Save the Program**: Save the above code to a file, for example, `rust_word_count.rs`. 2. **Compile**: Use `rustc` to compile the program.
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   rustc rust_word_count.rs
   
3. **Run**: Execute the compiled binary.
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   ./rust_word_count
   
Ensure that `/tmp/file.txt` exists and contains the text you want to analyze. ### **Example** Given the file `/tmp/file.txt` contains:
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This is is is, an example
Running the program would output four JSON dictionaries (the distribution of words among the chunks may vary depending on chunking):
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{"This": 1, "is": 2}
{"is,": 1}
{"an": 1}
{"example": 1}
You can then merge these JSON objects as needed.

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::sync::mpsc;
use std::thread;

fn main() -> io::Result<()> {
    // Path to the input file
    let file_path = "/tmp/file.txt";

    // Read the entire file into a String
    let mut file = File::open(file_path)?;
    let mut contents = String::new();
    file.read_to_string(&mut contents)?;

    // Total number of bytes in the file
    let total_bytes = contents.len();
    // Calculate approximate chunk size
    let chunk_size = total_bytes / 4;

    // Find split indices to avoid breaking words
    let mut split_indices = Vec::new();
    split_indices.push(0); // Start of first chunk

    for i in 1..4 {
        let mut split = i * chunk_size;
        // Ensure we don't split in the middle of a UTF-8 character
        while !contents.is_char_boundary(split) && split < total_bytes {
            split += 1;
        }
        // Move to the next whitespace character to avoid splitting a word
        while split < total_bytes && !contents.chars().nth(split).unwrap().is_whitespace() {
            split += 1;
        }
        split_indices.push(split);
    }
    split_indices.push(total_bytes); // End of last chunk

    // Create a channel to collect results from threads
    let (tx, rx) = mpsc::channel();

    // Spawn 4 threads
    for i in 0..4 {
        let tx_clone = tx.clone();
        let start = split_indices[i];
        let end = split_indices[i + 1];
        let chunk = contents[start..end].to_string();

        thread::spawn(move || {
            let word_count = count_words(&chunk);
            let json = hashmap_to_json(&word_count);
            tx_clone.send(json).expect("Failed to send data to main thread");
        });
    }

    // Drop the original sender to avoid hanging
    drop(tx);

    // Collect and print the JSON results
    for received in rx {
        println!("{}", received);
    }

    Ok(())
}

/// Counts the occurrences of each word in the given text.
fn count_words(text: &str) -> HashMap<String, usize> {
    let mut map = HashMap::new();
    for word in text.split_whitespace() {
        *map.entry(word.to_string()).or_insert(0) += 1;
    }
    map
}

/// Converts a HashMap of word counts to a JSON-formatted string.
fn hashmap_to_json(map: &HashMap<String, usize>) -> String {
    let mut json = String::from("{");
    let mut first = true;
    for (key, value) in map {
        if !first {
            json.push_str(", ");
        }
        first = false;
        // Escape double quotes in keys
        let escaped_key = key.replace('"', "\\\"");
        json.push_str(&format!("\"{}\": {}", escaped_key, value));
    }
    json.push('}');
    json
}

Check if all of the following conditions are true:

LLM Generation

Query

Below is some student's code. I asked them to parallelize some code. Do not judge if it is correct, I have test cases for that. Logic errors are okay. So are synatx errors. Just tell me if they tried to parallelize it. use std::collections::HashMap; use std::fs::File; use std::io::{self, Read}; use std::sync::mpsc; use std::thread; fn main() -> io::Result<()> { // Path to the input file let file_path = "/tmp/file.txt"; // Read the entire file into a String let mut file = File::open(file_path)?; let mut contents = String::new(); file.read_to_string(&mut contents)?; // Total number of bytes in the file let total_bytes = contents.len(); // Calculate approximate chunk size let chunk_size = total_bytes / 4; // Find split indices to avoid breaking words let mut split_indices = Vec::new(); split_indices.push(0); // Start of first chunk for i in 1..4 { let mut split = i * chunk_size; // Ensure we don't split in the middle of a UTF-8 character while !contents.is_char_boundary(split) && split < total_bytes { split += 1; } // Move to the next whitespace character to avoid splitting a word while split < total_bytes && !contents.chars().nth(split).unwrap().is_whitespace() { split += 1; } split_indices.push(split); } split_indices.push(total_bytes); // End of last chunk // Create a channel to collect results from threads let (tx, rx) = mpsc::channel(); // Spawn 4 threads for i in 0..4 { let tx_clone = tx.clone(); let start = split_indices[i]; let end = split_indices[i + 1]; let chunk = contents[start..end].to_string(); thread::spawn(move || { let word_count = count_words(&chunk); let json = hashmap_to_json(&word_count); tx_clone.send(json).expect("Failed to send data to main thread"); }); } // Drop the original sender to avoid hanging drop(tx); // Collect and print the JSON results for received in rx { println!("{}", received); } Ok(()) } /// Counts the occurrences of each word in the given text. fn count_words(text: &str) -> HashMap<String, usize> { let mut map = HashMap::new(); for word in text.split_whitespace() { *map.entry(word.to_string()).or_insert(0) += 1; } map } /// Converts a HashMap of word counts to a JSON-formatted string. fn hashmap_to_json(map: &HashMap<String, usize>) -> String { let mut json = String::from("{"); let mut first = true; for (key, value) in map { if !first { json.push_str(", "); } first = false; // Escape double quotes in keys let escaped_key = key.replace('"', "\\\""); json.push_str(&format!("\"{}\": {}", escaped_key, value)); } json.push('}'); json } Answer either 'The student passes' or 'The student fails'.

Output

The student passes.

Substring Evaluation

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

Run Code Interpreter

Running the following program:

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

fn main() -> io::Result<()> {
    // Path to the input file
    let file_path = "/tmp/file.txt";

    // Read the entire file into a String
    let mut file = File::open(file_path)?;
    let mut contents = String::new();
    file.read_to_string(&mut contents)?;

    // Total number of bytes in the file
    let total_bytes = contents.len();
    // Calculate approximate chunk size
    let chunk_size = total_bytes / 4;

    // Find split indices to avoid breaking words
    let mut split_indices = Vec::new();
    split_indices.push(0); // Start of first chunk

    for i in 1..4 {
        let mut split = i * chunk_size;
        // Ensure we don't split in the middle of a UTF-8 character
        while !contents.is_char_boundary(split) && split < total_bytes {
            split += 1;
        }
        // Move to the next whitespace character to avoid splitting a word
        while split < total_bytes && !contents.chars().nth(split).unwrap().is_whitespace() {
            split += 1;
        }
        split_indices.push(split);
    }
    split_indices.push(total_bytes); // End of last chunk

    // Create a channel to collect results from threads
    let (tx, rx) = mpsc::channel();

    // Spawn 4 threads
    for i in 0..4 {
        let tx_clone = tx.clone();
        let start = split_indices[i];
        let end = split_indices[i + 1];
        let chunk = contents[start..end].to_string();

        thread::spawn(move || {
            let word_count = count_words(&chunk);
            let json = hashmap_to_json(&word_count);
            tx_clone.send(json).expect("Failed to send data to main thread");
        });
    }

    // Drop the original sender to avoid hanging
    drop(tx);

    // Collect and print the JSON results
    for received in rx {
        println!("{}", received);
    }

    Ok(())
}

/// Counts the occurrences of each word in the given text.
fn count_words(text: &str) -> HashMap<String, usize> {
    let mut map = HashMap::new();
    for word in text.split_whitespace() {
        *map.entry(word.to_string()).or_insert(0) += 1;
    }
    map
}

/// Converts a HashMap of word counts to a JSON-formatted string.
fn hashmap_to_json(map: &HashMap<String, usize>) -> String {
    let mut json = String::from("{");
    let mut first = true;
    for (key, value) in map {
        if !first {
            json.push_str(", ");
        }
        first = false;
        // Escape double quotes in keys
        let escaped_key = key.replace('"', "\\\"");
        json.push_str(&format!("\"{}\": {}", escaped_key, value));
    }
    json.push('}');
    json
}
And got the output: {"the": 4, "was": 4, "of": 4, "times,": 2, "best": 1, "age": 2, "foolishness,": 1, "it": 4, "wisdom,": 1, "worst": 1} {"the": 4, "it": 4, "epoch": 2, "season": 1, "Light,": 1, "incredulity,": 1, "was": 4, "of": 3, "belief,": 1} {"had": 1, "nothing": 1, "we": 3, "us,": 1, "all": 2, "direct": 2, "to": 1, "Heaven,": 1, "the": 1, "before": 1, "were": 2, "going": 2, "way": 1, "other": 1} {"was": 2, "us,": 1, "despair,": 1, "hope,": 1, "had": 1, "everything": 1, "of": 3, "the": 2, "spring": 1, "season": 1, "winter": 1, "we": 1, "it": 2, "before": 1, "Darkness,": 1}

PyFunc

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

Equal Evaluation

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

Final Answer: True

Docker Setup

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

Initial Query

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

LLM Generation

Query

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

Output

Here's a self-contained Rust program that reads `/tmp/file.txt`, counts the frequency of each word using four parallel threads, and prints four separate JSON dictionaries (one per thread) to `stdout`. Each thread processes approximately one-fourth of the words in the file.

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use std::collections::HashMap;
use std::fs::File;
use std::io::Read;
use std::thread;

fn main() {
    // Path to the input file
    let file_path = "/tmp/file.txt";

    // Read the entire file into a string
    let mut file = match File::open(file_path) {
        Ok(f) => f,
        Err(e) => {
            eprintln!("Error opening file {}: {}", file_path, e);
            return;
        }
    };

    let mut contents = String::new();
    if let Err(e) = file.read_to_string(&mut contents) {
        eprintln!("Error reading file {}: {}", file_path, e);
        return;
    }

    // Split the contents into words based on whitespace
    let words: Vec<&str> = contents.split_whitespace().collect();
    let total_words = words.len();
    if total_words == 0 {
        println!("{{}}");
        println!("{{}}");
        println!("{{}}");
        println!("{{}}");
        return;
    }

    // Determine the number of words per thread
    let chunk_size = (total_words + 3) / 4; // Ceiling division

    // Prepare to hold thread handles
    let mut handles = Vec::with_capacity(4);

    for i in 0..4 {
        // Calculate the start and end indices for the current chunk
        let start = i * chunk_size;
        let end = if start + chunk_size > total_words {
            total_words
        } else {
            start + chunk_size
        };

        // Clone the slice of words for the thread
        let chunk = words[start..end].to_vec();

        // Spawn a thread to process the chunk
        let handle = thread::spawn(move || {
            let mut map: HashMap<String, usize> = HashMap::new();
            for word in chunk {
                *map.entry(word.to_string()).or_insert(0) += 1;
            }
            map
        });

        handles.push(handle);
    }

    // Collect the results from the threads
    for handle in handles {
        match handle.join() {
            Ok(map) => {
                // Convert the HashMap to a JSON string
                let json = hashmap_to_json(&map);
                println!("{}", json);
            }
            Err(_) => {
                eprintln!("A thread panicked.");
                println!("{{}}"); // Print empty JSON object in case of panic
            }
        }
    }
}

// Helper function to convert a HashMap<String, usize> to a JSON string
fn hashmap_to_json(map: &HashMap<String, usize>) -> String {
    let mut json = String::from("{");
    let mut first = true;
    for (key, value) in map {
        if !first {
            json.push_str(", ");
        }
        first = false;
        // Escape backslashes and double quotes in the key
        let escaped_key = key
            .replace("\\", "\\\\")
            .replace("\"", "\\\"");
        json.push_str(&format!("\"{}\": {}", escaped_key, value));
    }
    json.push('}');
    json
}
### Explanation: 1. **Reading the File:** - The program opens `/tmp/file.txt` and reads its entire content into a `String`. It handles any potential errors during file opening or reading by printing an error message and exiting. 2. **Splitting into Words:** - The content is split into words based on whitespace using `split_whitespace()`. This results in a vector of word slices (`&str`). 3. **Dividing Work Among Threads:** - The total number of words is divided by four to determine the chunk size for each thread. Ceiling division ensures that all words are covered. - Four threads are spawned, each processing a distinct chunk of the words. Each thread counts the frequency of each word in its chunk using a `HashMap<String, usize>`. 4. **Collecting and Printing Results:** - The main thread waits for all child threads to finish and collects their `HashMap` results. - Each `HashMap` is converted to a JSON-formatted `String` using the `hashmap_to_json` helper function. - Each JSON string is printed on a separate line to `stdout`. 5. **JSON Serialization:** - Since external crates like `serde` are not used, JSON serialization is done manually. - The `hashmap_to_json` function iterates over each key-value pair in the hashmap, properly escaping any backslashes or double quotes in the keys to ensure valid JSON. ### Compilation and Execution: Save the above code to a file, for example, `rust_word_count.rs`. You can compile and run it using the following commands:
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rustc rust_word_count.rs -o rust_word_count
/path/to/rust_word_count
Ensure that `/tmp/file.txt` exists and contains the text you want to process. The program will output four JSON dictionaries, each on a separate line, corresponding to the word counts from each of the four threads. You can then merge these dictionaries as needed. ### Example: Given `/tmp/file.txt` contains:
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This is is is, an example
Running the program might output:
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{"This": 1, "is": 2}
{"is,": 1, "an": 1}
{"example": 1}
{}
Each line represents the word counts from a different thread. Empty JSON objects (`{}`) may appear if there are fewer words than threads.

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::Read;
use std::thread;

fn main() {
    // Path to the input file
    let file_path = "/tmp/file.txt";

    // Read the entire file into a string
    let mut file = match File::open(file_path) {
        Ok(f) => f,
        Err(e) => {
            eprintln!("Error opening file {}: {}", file_path, e);
            return;
        }
    };

    let mut contents = String::new();
    if let Err(e) = file.read_to_string(&mut contents) {
        eprintln!("Error reading file {}: {}", file_path, e);
        return;
    }

    // Split the contents into words based on whitespace
    let words: Vec<&str> = contents.split_whitespace().collect();
    let total_words = words.len();
    if total_words == 0 {
        println!("{{}}");
        println!("{{}}");
        println!("{{}}");
        println!("{{}}");
        return;
    }

    // Determine the number of words per thread
    let chunk_size = (total_words + 3) / 4; // Ceiling division

    // Prepare to hold thread handles
    let mut handles = Vec::with_capacity(4);

    for i in 0..4 {
        // Calculate the start and end indices for the current chunk
        let start = i * chunk_size;
        let end = if start + chunk_size > total_words {
            total_words
        } else {
            start + chunk_size
        };

        // Clone the slice of words for the thread
        let chunk = words[start..end].to_vec();

        // Spawn a thread to process the chunk
        let handle = thread::spawn(move || {
            let mut map: HashMap<String, usize> = HashMap::new();
            for word in chunk {
                *map.entry(word.to_string()).or_insert(0) += 1;
            }
            map
        });

        handles.push(handle);
    }

    // Collect the results from the threads
    for handle in handles {
        match handle.join() {
            Ok(map) => {
                // Convert the HashMap to a JSON string
                let json = hashmap_to_json(&map);
                println!("{}", json);
            }
            Err(_) => {
                eprintln!("A thread panicked.");
                println!("{{}}"); // Print empty JSON object in case of panic
            }
        }
    }
}

// Helper function to convert a HashMap<String, usize> to a JSON string
fn hashmap_to_json(map: &HashMap<String, usize>) -> String {
    let mut json = String::from("{");
    let mut first = true;
    for (key, value) in map {
        if !first {
            json.push_str(", ");
        }
        first = false;
        // Escape backslashes and double quotes in the key
        let escaped_key = key
            .replace("\\", "\\\\")
            .replace("\"", "\\\"");
        json.push_str(&format!("\"{}\": {}", escaped_key, value));
    }
    json.push('}');
    json
}

Check if all of the following conditions are true:

LLM Generation

Query

Below is some student's code. I asked them to parallelize some code. Do not judge if it is correct, I have test cases for that. Logic errors are okay. So are synatx errors. Just tell me if they tried to parallelize it. use std::collections::HashMap; use std::fs::File; use std::io::Read; use std::thread; fn main() { // Path to the input file let file_path = "/tmp/file.txt"; // Read the entire file into a string let mut file = match File::open(file_path) { Ok(f) => f, Err(e) => { eprintln!("Error opening file {}: {}", file_path, e); return; } }; let mut contents = String::new(); if let Err(e) = file.read_to_string(&mut contents) { eprintln!("Error reading file {}: {}", file_path, e); return; } // Split the contents into words based on whitespace let words: Vec<&str> = contents.split_whitespace().collect(); let total_words = words.len(); if total_words == 0 { println!("{{}}"); println!("{{}}"); println!("{{}}"); println!("{{}}"); return; } // Determine the number of words per thread let chunk_size = (total_words + 3) / 4; // Ceiling division // Prepare to hold thread handles let mut handles = Vec::with_capacity(4); for i in 0..4 { // Calculate the start and end indices for the current chunk let start = i * chunk_size; let end = if start + chunk_size > total_words { total_words } else { start + chunk_size }; // Clone the slice of words for the thread let chunk = words[start..end].to_vec(); // Spawn a thread to process the chunk let handle = thread::spawn(move || { let mut map: HashMap<String, usize> = HashMap::new(); for word in chunk { *map.entry(word.to_string()).or_insert(0) += 1; } map }); handles.push(handle); } // Collect the results from the threads for handle in handles { match handle.join() { Ok(map) => { // Convert the HashMap to a JSON string let json = hashmap_to_json(&map); println!("{}", json); } Err(_) => { eprintln!("A thread panicked."); println!("{{}}"); // Print empty JSON object in case of panic } } } } // Helper function to convert a HashMap<String, usize> to a JSON string fn hashmap_to_json(map: &HashMap<String, usize>) -> String { let mut json = String::from("{"); let mut first = true; for (key, value) in map { if !first { json.push_str(", "); } first = false; // Escape backslashes and double quotes in the key let escaped_key = key .replace("\\", "\\\\") .replace("\"", "\\\""); json.push_str(&format!("\"{}\": {}", escaped_key, value)); } json.push('}'); json } Answer either 'The student passes' or 'The student fails'.

Output

The student passes.

Substring Evaluation

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

Run Code Interpreter

Running the following program:

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use std::collections::HashMap;
use std::fs::File;
use std::io::Read;
use std::thread;

fn main() {
    // Path to the input file
    let file_path = "/tmp/file.txt";

    // Read the entire file into a string
    let mut file = match File::open(file_path) {
        Ok(f) => f,
        Err(e) => {
            eprintln!("Error opening file {}: {}", file_path, e);
            return;
        }
    };

    let mut contents = String::new();
    if let Err(e) = file.read_to_string(&mut contents) {
        eprintln!("Error reading file {}: {}", file_path, e);
        return;
    }

    // Split the contents into words based on whitespace
    let words: Vec<&str> = contents.split_whitespace().collect();
    let total_words = words.len();
    if total_words == 0 {
        println!("{{}}");
        println!("{{}}");
        println!("{{}}");
        println!("{{}}");
        return;
    }

    // Determine the number of words per thread
    let chunk_size = (total_words + 3) / 4; // Ceiling division

    // Prepare to hold thread handles
    let mut handles = Vec::with_capacity(4);

    for i in 0..4 {
        // Calculate the start and end indices for the current chunk
        let start = i * chunk_size;
        let end = if start + chunk_size > total_words {
            total_words
        } else {
            start + chunk_size
        };

        // Clone the slice of words for the thread
        let chunk = words[start..end].to_vec();

        // Spawn a thread to process the chunk
        let handle = thread::spawn(move || {
            let mut map: HashMap<String, usize> = HashMap::new();
            for word in chunk {
                *map.entry(word.to_string()).or_insert(0) += 1;
            }
            map
        });

        handles.push(handle);
    }

    // Collect the results from the threads
    for handle in handles {
        match handle.join() {
            Ok(map) => {
                // Convert the HashMap to a JSON string
                let json = hashmap_to_json(&map);
                println!("{}", json);
            }
            Err(_) => {
                eprintln!("A thread panicked.");
                println!("{{}}"); // Print empty JSON object in case of panic
            }
        }
    }
}

// Helper function to convert a HashMap<String, usize> to a JSON string
fn hashmap_to_json(map: &HashMap<String, usize>) -> String {
    let mut json = String::from("{");
    let mut first = true;
    for (key, value) in map {
        if !first {
            json.push_str(", ");
        }
        first = false;
        // Escape backslashes and double quotes in the key
        let escaped_key = key
            .replace("\\", "\\\\")
            .replace("\"", "\\\"");
        json.push_str(&format!("\"{}\": {}", escaped_key, value));
    }
    json.push('}');
    json
}
And got the output: error[E0597]: `contents` does not live long enough --> main.rs:27:28 | 20 | let mut contents = String::new(); | ------------ binding `contents` declared here ... 27 | let words: Vec<&str> = contents.split_whitespace().collect(); | ^^^^^^^^ borrowed value does not live long enough ... 56 | let handle = thread::spawn(move || { | ______________________- 57 | | let mut map: HashMap<String, usize> = HashMap::new(); 58 | | for word in chunk { 59 | | *map.entry(word.to_string()).or_insert(0) += 1; 60 | | } 61 | | map 62 | | }); | |__________- argument requires that `contents` is borrowed for `'static` ... 81 | } | - `contents` dropped here while still borrowed error: aborting due to 1 previous error For more information about this error, try `rustc --explain E0597`. main.sh: line 2: ./a.out: No such file or directory

PyFunc

Resulting in output: []

Equal Evaluation

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

Final Answer: False