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

Output

Sure, here's a Rust program that reads a text file located at `/tmp/file.txt`, processes it in parallel using 4 threads, and prints out the word count as JSON dictionaries for each chunk of the file:

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

fn main() {
    let file_path = "/tmp/file.txt";
    let file = File::open(file_path).expect("Cannot open file");
    let metadata = file.metadata().expect("Cannot read metadata");
    let file_size = metadata.len() as usize;

    let chunk_size = file_size / 4;
    let mut handles = vec![];

    let reader = BufReader::new(file);
    let buffer = Arc::new(Mutex::new(reader));

    for i in 0..4 {
        let buffer = Arc::clone(&buffer);
        let handle = thread::spawn(move || {
            let mut local_buffer = vec![0; chunk_size];
            let start_index = i * chunk_size;
            let mut word_count = HashMap::new();

            {
                let mut reader = buffer.lock().unwrap();
                reader.seek_relative(start_index as i64).expect("Seek failed");
                reader.read_exact(&mut local_buffer).expect("Read failed");
            }

            let text = String::from_utf8_lossy(&local_buffer);
            for word in text.split_whitespace() {
                *word_count.entry(word.to_string()).or_insert(0) += 1;
            }

            let mut json_output = String::from("{");
            for (word, count) in word_count {
                json_output.push_str(&format!("\"{}\": {}, ", word, count));
            }
            if json_output.len() > 1 {
                json_output.pop();
                json_output.pop();
            }
            json_output.push('}');
            println!("{}", json_output);
        });
        handles.push(handle);
    }

    for handle in handles {
        handle.join().expect("Thread failed");
    }
}

This program does the following: 1. Opens the file located at `/tmp/file.txt`. 2. Determines the size of the file and divides it into 4 equal chunks. 3. Creates 4 threads, each processing one chunk of the file. 4. Each thread reads its respective chunk into a local buffer, counts the occurrence of each word, and formats the counts as a JSON dictionary. 5. Prints the JSON output for each chunk. Note: - This implementation uses `split_whitespace()` to split the text into words, which handles basic whitespace splitting. - This doesn't handle punctuation removal or more complex word-splitting rules. - The JSON formatting is done manually without using `serde_json` or any other external crates. - The use of `BufReader` and `seek_relative` ensures that each thread reads its respective chunk of the file. To compile and run:

rustc rust_word_count.rs
./rust_word_count

Make sure the text file exists at `/tmp/file.txt` before running the program.

Extract Code

I extracted the following code from that output:

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

fn main() {
    let file_path = "/tmp/file.txt";
    let file = File::open(file_path).expect("Cannot open file");
    let metadata = file.metadata().expect("Cannot read metadata");
    let file_size = metadata.len() as usize;

    let chunk_size = file_size / 4;
    let mut handles = vec![];

    let reader = BufReader::new(file);
    let buffer = Arc::new(Mutex::new(reader));

    for i in 0..4 {
        let buffer = Arc::clone(&buffer);
        let handle = thread::spawn(move || {
            let mut local_buffer = vec![0; chunk_size];
            let start_index = i * chunk_size;
            let mut word_count = HashMap::new();

            {
                let mut reader = buffer.lock().unwrap();
                reader.seek_relative(start_index as i64).expect("Seek failed");
                reader.read_exact(&mut local_buffer).expect("Read failed");
            }

            let text = String::from_utf8_lossy(&local_buffer);
            for word in text.split_whitespace() {
                *word_count.entry(word.to_string()).or_insert(0) += 1;
            }

            let mut json_output = String::from("{");
            for (word, count) in word_count {
                json_output.push_str(&format!("\"{}\": {}, ", word, count));
            }
            if json_output.len() > 1 {
                json_output.pop();
                json_output.pop();
            }
            json_output.push('}');
            println!("{}", json_output);
        });
        handles.push(handle);
    }

    for handle in handles {
        handle.join().expect("Thread failed");
    }
}

Check if all of the following conditions are true:

LLM Generation

Query

Below is some student's code. I asked them to parallelize some code. Do not judge if it is correct, I have test cases for that. Logic errors are okay. So are synatx errors. Just tell me if they tried to parallelize it. use std::fs::File; use std::io::{BufReader, Read}; use std::collections::HashMap; use std::sync::{Arc, Mutex}; use std::thread; fn main() { let file_path = "/tmp/file.txt"; let file = File::open(file_path).expect("Cannot open file"); let metadata = file.metadata().expect("Cannot read metadata"); let file_size = metadata.len() as usize; let chunk_size = file_size / 4; let mut handles = vec![]; let reader = BufReader::new(file); let buffer = Arc::new(Mutex::new(reader)); for i in 0..4 { let buffer = Arc::clone(&buffer); let handle = thread::spawn(move || { let mut local_buffer = vec![0; chunk_size]; let start_index = i * chunk_size; let mut word_count = HashMap::new(); { let mut reader = buffer.lock().unwrap(); reader.seek_relative(start_index as i64).expect("Seek failed"); reader.read_exact(&mut local_buffer).expect("Read failed"); } let text = String::from_utf8_lossy(&local_buffer); for word in text.split_whitespace() { *word_count.entry(word.to_string()).or_insert(0) += 1; } let mut json_output = String::from("{"); for (word, count) in word_count { json_output.push_str(&format!("\"{}\": {}, ", word, count)); } if json_output.len() > 1 { json_output.pop(); json_output.pop(); } json_output.push('}'); println!("{}", json_output); }); handles.push(handle); } for handle in handles { handle.join().expect("Thread failed"); } } 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:

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

fn main() {
    let file_path = "/tmp/file.txt";
    let file = File::open(file_path).expect("Cannot open file");
    let metadata = file.metadata().expect("Cannot read metadata");
    let file_size = metadata.len() as usize;

    let chunk_size = file_size / 4;
    let mut handles = vec![];

    let reader = BufReader::new(file);
    let buffer = Arc::new(Mutex::new(reader));

    for i in 0..4 {
        let buffer = Arc::clone(&buffer);
        let handle = thread::spawn(move || {
            let mut local_buffer = vec![0; chunk_size];
            let start_index = i * chunk_size;
            let mut word_count = HashMap::new();

            {
                let mut reader = buffer.lock().unwrap();
                reader.seek_relative(start_index as i64).expect("Seek failed");
                reader.read_exact(&mut local_buffer).expect("Read failed");
            }

            let text = String::from_utf8_lossy(&local_buffer);
            for word in text.split_whitespace() {
                *word_count.entry(word.to_string()).or_insert(0) += 1;
            }

            let mut json_output = String::from("{");
            for (word, count) in word_count {
                json_output.push_str(&format!("\"{}\": {}, ", word, count));
            }
            if json_output.len() > 1 {
                json_output.pop();
                json_output.pop();
            }
            json_output.push('}');
            println!("{}", json_output);
        });
        handles.push(handle);
    }

    for handle in handles {
        handle.join().expect("Thread failed");
    }
}

And got the output:

{"the": 4, "times,": 2, "age": 2, "best": 1, "foolish": 1, "was": 4, "wisdom,": 1, "worst": 1, "of": 4, "it": 4}
{"way": 1, "had": 1, "before": 1, "the": 1, "us,": 2, "nothing": 1, "direct": 2, "were": 2, "we": 3, "all": 2, "to": 1, "Heaven,": 1, "going": 2, "other": 1}
thread '<unnamed>' panicked at main.rs:30:54:
Read failed: Error { kind: UnexpectedEof, message: "failed to fill whole buffer" }
note: run with `RUST_BACKTRACE=1` environment variable to display a backtrace
thread '<unnamed>' panicked at main.rs:28:48:
called `Result::unwrap()` on an `Err` value: PoisonError { .. }
thread 'main' panicked at main.rs:53:23:
Thread failed: Any { .. }

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

LLM Generation

Query

Output

Sure, here's a Rust program that reads a text file located at `/tmp/file.txt`, counts the occurrences of each word, and outputs the results as JSON. The program uses multi-threading to divide the work among four threads, each processing approximately one-fourth of the file. Note that we won't use any external crates like `serde_json` for JSON serialization. Here's the complete program:

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

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

fn to_json(counts: &HashMap<String, usize>) -> String {
    let mut json_str = String::from("{");
    for (word, count) in counts {
        json_str.push_str(&format!("\"{}\": {}, ", word, count));
    }
    if json_str.len() > 1 {
        json_str.pop(); // Remove the last space
        json_str.pop(); // Remove the last comma
    }
    json_str.push('}');
    json_str
}

fn main() -> io::Result<()> {
    let file_path = "/tmp/file.txt";
    let file = File::open(file_path)?;
    let metadata = file.metadata()?;
    let file_size = metadata.len();
    let chunk_size = file_size / 4;

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

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

            let mut lines = vec![];
            for line in reader.lines() {
                if let Ok(line) = line {
                    lines.push(line);
                }
                if lines.len() > chunk_size as usize / 100 {
                    break;
                }
            }
            let counts = word_count(lines);
            let json_output = to_json(&counts);
            println!("{}", json_output);
        });

        handles.push(handle);
    }

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

    Ok(())
}

### Explanation: 1. **Reading the File**: The program opens the file at `/tmp/file.txt` and gets its size to divide it into four approximately equal parts. 2. **Multi-threading**: The program spawns four threads, each processing a quarter of the file. - Each thread seeks to its respective starting position in the file. - It then reads lines until it has read approximately a quarter of the file's content. 3. **Word Counting**: Each thread counts the occurrences of each word in its chunk of the file using a `HashMap`. 4. **JSON Serialization**: The `to_json` function manually constructs a JSON string from the `HashMap`. 5. **Output**: Each thread prints its JSON output to `stdout`. 6. **Thread Synchronization**: The program waits for all threads to finish using `join`. ### Note: - This implementation assumes that the file is large enough to be meaningfully divided into four parts. - If the file is small or the division results in imbalanced work, the performance benefits of multi-threading might not be significant. - The `chunk_size` calculation and reading logic might need adjustments for different file sizes and content situations.

Extract Code

I extracted the following code from that output:

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

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

fn to_json(counts: &HashMap<String, usize>) -> String {
    let mut json_str = String::from("{");
    for (word, count) in counts {
        json_str.push_str(&format!("\"{}\": {}, ", word, count));
    }
    if json_str.len() > 1 {
        json_str.pop(); // Remove the last space
        json_str.pop(); // Remove the last comma
    }
    json_str.push('}');
    json_str
}

fn main() -> io::Result<()> {
    let file_path = "/tmp/file.txt";
    let file = File::open(file_path)?;
    let metadata = file.metadata()?;
    let file_size = metadata.len();
    let chunk_size = file_size / 4;

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

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

            let mut lines = vec![];
            for line in reader.lines() {
                if let Ok(line) = line {
                    lines.push(line);
                }
                if lines.len() > chunk_size as usize / 100 {
                    break;
                }
            }
            let counts = word_count(lines);
            let json_output = to_json(&counts);
            println!("{}", json_output);
        });

        handles.push(handle);
    }

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

    Ok(())
}

Check if all of the following conditions are true:

LLM Generation

Query

Below is some student's code. I asked them to parallelize some code. Do not judge if it is correct, I have test cases for that. Logic errors are okay. So are synatx errors. Just tell me if they tried to parallelize it. use std::collections::HashMap; use std::fs::File; use std::io::{self, BufRead, BufReader, Seek, SeekFrom}; use std::sync::{Arc, Mutex}; use std::thread; fn word_count(lines: Vec<String>) -> HashMap<String, usize> { let mut counts = HashMap::new(); for line in lines { for word in line.split_whitespace() { *counts.entry(word.to_string()).or_insert(0) += 1; } } counts } fn to_json(counts: &HashMap<String, usize>) -> String { let mut json_str = String::from("{"); for (word, count) in counts { json_str.push_str(&format!("\"{}\": {}, ", word, count)); } if json_str.len() > 1 { json_str.pop(); // Remove the last space json_str.pop(); // Remove the last comma } json_str.push('}'); json_str } fn main() -> io::Result<()> { let file_path = "/tmp/file.txt"; let file = File::open(file_path)?; let metadata = file.metadata()?; let file_size = metadata.len(); let chunk_size = file_size / 4; let file = Arc::new(Mutex::new(file)); let mut handles = vec![]; for i in 0..4 { let file = Arc::clone(&file); let handle = thread::spawn(move || { let mut file = file.lock().unwrap(); file.seek(SeekFrom::Start(i * chunk_size)).unwrap(); let reader = BufReader::new(file.try_clone().unwrap()); let mut lines = vec![]; for line in reader.lines() { if let Ok(line) = line { lines.push(line); } if lines.len() > chunk_size as usize / 100 { break; } } let counts = word_count(lines); let json_output = to_json(&counts); println!("{}", json_output); }); handles.push(handle); } for handle in handles { handle.join().unwrap(); } Ok(()) } Answer either 'The student passes' or 'The student fails'.

Output

The student passes.

Substring Evaluation

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

Run Code Interpreter

Running the following program:

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

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

fn to_json(counts: &HashMap<String, usize>) -> String {
    let mut json_str = String::from("{");
    for (word, count) in counts {
        json_str.push_str(&format!("\"{}\": {}, ", word, count));
    }
    if json_str.len() > 1 {
        json_str.pop(); // Remove the last space
        json_str.pop(); // Remove the last comma
    }
    json_str.push('}');
    json_str
}

fn main() -> io::Result<()> {
    let file_path = "/tmp/file.txt";
    let file = File::open(file_path)?;
    let metadata = file.metadata()?;
    let file_size = metadata.len();
    let chunk_size = file_size / 4;

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

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

            let mut lines = vec![];
            for line in reader.lines() {
                if let Ok(line) = line {
                    lines.push(line);
                }
                if lines.len() > chunk_size as usize / 100 {
                    break;
                }
            }
            let counts = word_count(lines);
            let json_output = to_json(&counts);
            println!("{}", json_output);
        });

        handles.push(handle);
    }

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

    Ok(())
}

And got the output:

{"was": 10, "times,": 2, "everything": 1, "epoch": 2, "it": 10, "the": 11, "worst": 1, "all": 2, "were": 2, "we": 4, "foolishness,": 1, "best": 1, "despair,": 1, "age": 2, "season": 2, "us,": 2, "Light,": 1, "going": 2, "Heaven,": 1, "belief,": 1, "nothing": 1, "other": 1, "incredulity,": 1, "of": 10, "Darkness,": 1, "wisdom,": 1, "direct": 2, "winter": 1, "had": 2, "spring": 1, "to": 1, "before": 2, "hope,": 1, "way": 1}
{"Darkness,": 1, "everything": 1, "incredulity,": 1, "all": 2, "direct": 2, "epoch": 2, "hope,": 1, "were": 2, "before": 2, "us,": 2, "ness,": 1, "Light,": 1, "of": 6, "was": 6, "winter": 1, "had": 2, "Heaven,": 1, "other": 1, "belief,": 1, "season": 2, "nothing": 1, "to": 1, "it": 6, "the": 7, "spring": 1, "way": 1, "despair,": 1, "going": 2, "we": 4}
{"us,": 2, "to": 1, "Heaven,": 1, "season": 1, "e": 1, "was": 2, "everything": 1, "hope,": 1, "other": 1, "we": 4, "had": 2, "it": 2, "of": 3, "nothing": 1, "spring": 1, "all": 2, "direct": 2, "the": 3, "despair,": 1, "before": 2, "way": 1, "going": 2, "were": 2, "winter": 1, "Darkness,": 1}
{"before": 1, "the": 1, "were": 2, "nothing": 1, "us,": 2, "going": 2, "to": 1, "Heaven,": 1, "all": 2, "direct": 2, "other": 1, "had": 1, "way": 1, "we": 3}

PyFunc

Resulting in output: [('Darkness,', 3), ('Heaven,', 4), ('Light,', 2), ('age', 2), ('all', 8), ('before', 7), ('belief,', 2), ('best', 1), ('despair,', 3), ('direct', 8), ('e', 1), ('epoch', 4), ('everything', 3), ('foolishness,', 1), ('going', 8), ('had', 7), ('hope,', 3), ('incredulity,', 2), ('it', 18), ('ness,', 1), ('nothing', 4), ('of', 19), ('other', 4), ('season', 5), ('spring', 3), ('the', 22), ('times,', 2), ('to', 4), ('us,', 8), ('was', 18), ('way', 4), ('we', 15), ('were', 8), ('winter', 3), ('wisdom,', 1), ('worst', 1)]

Equal Evaluation

Final Answer: False

Docker Setup

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

Initial Query

LLM Generation

Query

Output

Certainly! Below is a self-contained Rust program that reads a text file from `/tmp/file.txt`, counts the occurrences of each word, and prints out the result in JSON format. The program uses Rust's standard library and runs in parallel on 4 cores, with each core processing approximately 1/4 of the file. It prints 4 different JSON dictionaries, one per line.

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

fn main() -> io::Result<()> {
    let path = "/tmp/file.txt";
    let file = File::open(path)?;
    let metadata = file.metadata()?;
    let file_size = metadata.len() as usize;
    let chunk_size = file_size / 4;

    let mut handles = vec![];
    let results = Arc::new(Mutex::new(vec![HashMap::new(), HashMap::new(), HashMap::new(), HashMap::new()]));

    for i in 0..4 {
        let path = path.to_string();
        let results = Arc::clone(&results);

        let handle = thread::spawn(move || {
            let mut file = File::open(path).unwrap();
            file.seek(SeekFrom::Start((i * chunk_size) as u64)).unwrap();

            let mut reader = io::BufReader::new(file);
            let mut buffer = String::new();

            if i > 0 {
                // Skip partial word at the start of the chunk
                reader.read_line(&mut buffer).unwrap();
            }

            buffer.clear();
            while buffer.len() < chunk_size && reader.read_line(&mut buffer).unwrap() > 0 {}

            let words = buffer.split_whitespace().map(String::from);
            let mut local_count = HashMap::new();

            for word in words {
                *local_count.entry(word).or_insert(0) += 1;
            }

            let mut results = results.lock().unwrap();
            results[i] = local_count;
        });

        handles.push(handle);
    }

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

    let results = Arc::try_unwrap(results).unwrap().into_inner().unwrap();

    for result in results {
        print!("{");
        let mut first = true;
        for (word, count) in result {
            if !first {
                print!(", ");
            }
            first = false;
            print!("\"{}\": {}", word, count);
        }
        println!("}");
    }

    Ok(())
}

### Explanation 1. **Reading the File**: The file is opened and its size is determined. 2. **Splitting Work**: The file size is divided by 4 to determine the chunk size. 3. **Parallel Processing**: Four threads are spawned, each processing approximately 1/4 of the file. - Each thread opens the file, seeks to the appropriate starting point, and reads a chunk of the file. - If not the first chunk, the thread skips the first line to avoid partial words. - The words are split, counted, and stored in a local `HashMap`. 4. **Collecting Results**: The results are stored in a shared `Arc<Mutex<Vec<HashMap<String, usize>>>>`. 5. **Printing JSON**: After all threads finish, the results are printed in JSON format. ### Notes - This program avoids external crates and uses Rust's standard library. - The JSON output is constructed manually to avoid importing `serde_json`. You can compile this program using `rustc yourfile.rs` and run it by calling the resulting binary. Note that the program assumes the file is reasonably sized for this approach and that the file format is plain text.

Extract Code

I extracted the following code from that output:

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

fn main() -> io::Result<()> {
    let path = "/tmp/file.txt";
    let file = File::open(path)?;
    let metadata = file.metadata()?;
    let file_size = metadata.len() as usize;
    let chunk_size = file_size / 4;

    let mut handles = vec![];
    let results = Arc::new(Mutex::new(vec![HashMap::new(), HashMap::new(), HashMap::new(), HashMap::new()]));

    for i in 0..4 {
        let path = path.to_string();
        let results = Arc::clone(&results);

        let handle = thread::spawn(move || {
            let mut file = File::open(path).unwrap();
            file.seek(SeekFrom::Start((i * chunk_size) as u64)).unwrap();

            let mut reader = io::BufReader::new(file);
            let mut buffer = String::new();

            if i > 0 {
                // Skip partial word at the start of the chunk
                reader.read_line(&mut buffer).unwrap();
            }

            buffer.clear();
            while buffer.len() < chunk_size && reader.read_line(&mut buffer).unwrap() > 0 {}

            let words = buffer.split_whitespace().map(String::from);
            let mut local_count = HashMap::new();

            for word in words {
                *local_count.entry(word).or_insert(0) += 1;
            }

            let mut results = results.lock().unwrap();
            results[i] = local_count;
        });

        handles.push(handle);
    }

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

    let results = Arc::try_unwrap(results).unwrap().into_inner().unwrap();

    for result in results {
        print!("{");
        let mut first = true;
        for (word, count) in result {
            if !first {
                print!(", ");
            }
            first = false;
            print!("\"{}\": {}", word, count);
        }
        println!("}");
    }

    Ok(())
}

Check if all of the following conditions are true:

LLM Generation

Query

Below is some student's code. I asked them to parallelize some code. Do not judge if it is correct, I have test cases for that. Logic errors are okay. So are synatx errors. Just tell me if they tried to parallelize it. use std::collections::HashMap; use std::fs::File; use std::io::{self, BufRead, Seek, SeekFrom}; use std::sync::{Arc, Mutex}; use std::thread; fn main() -> io::Result<()> { let path = "/tmp/file.txt"; let file = File::open(path)?; let metadata = file.metadata()?; let file_size = metadata.len() as usize; let chunk_size = file_size / 4; let mut handles = vec![]; let results = Arc::new(Mutex::new(vec![HashMap::new(), HashMap::new(), HashMap::new(), HashMap::new()])); for i in 0..4 { let path = path.to_string(); let results = Arc::clone(&results); let handle = thread::spawn(move || { let mut file = File::open(path).unwrap(); file.seek(SeekFrom::Start((i * chunk_size) as u64)).unwrap(); let mut reader = io::BufReader::new(file); let mut buffer = String::new(); if i > 0 { // Skip partial word at the start of the chunk reader.read_line(&mut buffer).unwrap(); } buffer.clear(); while buffer.len() < chunk_size && reader.read_line(&mut buffer).unwrap() > 0 {} let words = buffer.split_whitespace().map(String::from); let mut local_count = HashMap::new(); for word in words { *local_count.entry(word).or_insert(0) += 1; } let mut results = results.lock().unwrap(); results[i] = local_count; }); handles.push(handle); } for handle in handles { handle.join().unwrap(); } let results = Arc::try_unwrap(results).unwrap().into_inner().unwrap(); for result in results { print!("{"); let mut first = true; for (word, count) in result { if !first { print!(", "); } first = false; print!("\"{}\": {}", word, count); } println!("}"); } Ok(()) } Answer either 'The student passes' or 'The student fails'.

Output

The student passes.

Substring Evaluation

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

Run Code Interpreter

Running the following program:

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

fn main() -> io::Result<()> {
    let path = "/tmp/file.txt";
    let file = File::open(path)?;
    let metadata = file.metadata()?;
    let file_size = metadata.len() as usize;
    let chunk_size = file_size / 4;

    let mut handles = vec![];
    let results = Arc::new(Mutex::new(vec![HashMap::new(), HashMap::new(), HashMap::new(), HashMap::new()]));

    for i in 0..4 {
        let path = path.to_string();
        let results = Arc::clone(&results);

        let handle = thread::spawn(move || {
            let mut file = File::open(path).unwrap();
            file.seek(SeekFrom::Start((i * chunk_size) as u64)).unwrap();

            let mut reader = io::BufReader::new(file);
            let mut buffer = String::new();

            if i > 0 {
                // Skip partial word at the start of the chunk
                reader.read_line(&mut buffer).unwrap();
            }

            buffer.clear();
            while buffer.len() < chunk_size && reader.read_line(&mut buffer).unwrap() > 0 {}

            let words = buffer.split_whitespace().map(String::from);
            let mut local_count = HashMap::new();

            for word in words {
                *local_count.entry(word).or_insert(0) += 1;
            }

            let mut results = results.lock().unwrap();
            results[i] = local_count;
        });

        handles.push(handle);
    }

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

    let results = Arc::try_unwrap(results).unwrap().into_inner().unwrap();

    for result in results {
        print!("{");
        let mut first = true;
        for (word, count) in result {
            if !first {
                print!(", ");
            }
            first = false;
            print!("\"{}\": {}", word, count);
        }
        println!("}");
    }

    Ok(())
}

And got the output:

error: invalid format string: expected `'}'` but string was terminated
  --> main.rs:58:18
   |
58 |         print!("{");
   |                 -^ expected `'}'` in format string
   |                 |
   |                 because of this opening brace
   |
   = note: if you intended to print `{`, you can escape it using `{{`
error: invalid format string: unmatched `}` found
  --> main.rs:67:19
   |
67 |         println!("}");
   |                   ^ unmatched `}` in format string
   |
   = note: if you intended to print `}`, you can escape it using `}}`
error: aborting due to 2 previous errors
main.sh: line 2: ./a.out: No such file or directory

PyFunc

Resulting in output: []

Equal Evaluation

Final Answer: False

Docker Setup

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

Initial Query

LLM Generation

Query

Output

Sure, here's a self-contained Rust program that reads from `/tmp/file.txt`, splits the work into four threads for parallel processing, and prints out four separate JSON dictionaries representing word counts. Make sure you have Rust installed on your system and compile the program using `rustc`.

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

/// Function to count words in a slice of lines
fn count_words(lines: &[String]) -> HashMap<String, usize> {
    let mut word_count = HashMap::new();
    for line in lines {
        for word in line.split_whitespace() {
            *word_count.entry(word.to_string()).or_insert(0) += 1;
        }
    }
    word_count
}

/// Function to convert a HashMap to a JSON string
fn hashmap_to_json(map: &HashMap<String, usize>) -> String {
    let mut json = String::from("{");
    for (key, value) in map {
        json.push_str(&format!(r#""{}": {},"#, key, value));
    }
    json.pop(); // Remove the last comma
    json.push('}');
    json
}

fn main() {
    // Read the file into a Vec of lines
    let file = File::open("/tmp/file.txt").expect("Cannot open file");
    let reader = BufReader::new(file);
    let lines: Vec<String> = reader.lines().map(|line| line.unwrap()).collect();

    // Split the lines into four chunks for parallel processing
    let chunk_size = (lines.len() + 3) / 4; // Ensure we don't miss any lines
    let chunks: Vec<Vec<String>> = lines.chunks(chunk_size).map(|chunk| chunk.to_vec()).collect();

    // Shared vector to store results
    let results = Arc::new(Mutex::new(Vec::new()));
    let mut handles = vec![];

    for chunk in chunks {
        let results = Arc::clone(&results);
        let handle = thread::spawn(move || {
            let word_count = count_words(&chunk);
            let json = hashmap_to_json(&word_count);
            let mut results = results.lock().unwrap();
            results.push(json);
        });
        handles.push(handle);
    }

    // Wait for all threads to finish
    for handle in handles {
        handle.join().unwrap();
    }

    // Print results
    let results = results.lock().unwrap();
    for result in results.iter() {
        println!("{}", result);
    }
}

To compile and run the program: 1. Save the code to a file, e.g., `rust_word_count.rs`. 2. Compile the program using `rustc rust_word_count.rs`. 3. Run the compiled program using `./rust_word_count`. This program will read the file, split the lines into four chunks, process each chunk in a separate thread, and print four separate JSON dictionaries representing the word counts for each chunk. Each dictionary will be printed on a new line.

Extract Code

I extracted the following code from that output:

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

/// Function to count words in a slice of lines
fn count_words(lines: &[String]) -> HashMap<String, usize> {
    let mut word_count = HashMap::new();
    for line in lines {
        for word in line.split_whitespace() {
            *word_count.entry(word.to_string()).or_insert(0) += 1;
        }
    }
    word_count
}

/// Function to convert a HashMap to a JSON string
fn hashmap_to_json(map: &HashMap<String, usize>) -> String {
    let mut json = String::from("{");
    for (key, value) in map {
        json.push_str(&format!(r#""{}": {},"#, key, value));
    }
    json.pop(); // Remove the last comma
    json.push('}');
    json
}

fn main() {
    // Read the file into a Vec of lines
    let file = File::open("/tmp/file.txt").expect("Cannot open file");
    let reader = BufReader::new(file);
    let lines: Vec<String> = reader.lines().map(|line| line.unwrap()).collect();

    // Split the lines into four chunks for parallel processing
    let chunk_size = (lines.len() + 3) / 4; // Ensure we don't miss any lines
    let chunks: Vec<Vec<String>> = lines.chunks(chunk_size).map(|chunk| chunk.to_vec()).collect();

    // Shared vector to store results
    let results = Arc::new(Mutex::new(Vec::new()));
    let mut handles = vec![];

    for chunk in chunks {
        let results = Arc::clone(&results);
        let handle = thread::spawn(move || {
            let word_count = count_words(&chunk);
            let json = hashmap_to_json(&word_count);
            let mut results = results.lock().unwrap();
            results.push(json);
        });
        handles.push(handle);
    }

    // Wait for all threads to finish
    for handle in handles {
        handle.join().unwrap();
    }

    // Print results
    let results = results.lock().unwrap();
    for result in results.iter() {
        println!("{}", 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}; use std::sync::{Arc, Mutex}; use std::thread; /// Function to count words in a slice of lines fn count_words(lines: &[String]) -> HashMap<String, usize> { let mut word_count = HashMap::new(); for line in lines { for word in line.split_whitespace() { *word_count.entry(word.to_string()).or_insert(0) += 1; } } word_count } /// Function to convert a HashMap to a JSON string fn hashmap_to_json(map: &HashMap<String, usize>) -> String { let mut json = String::from("{"); for (key, value) in map { json.push_str(&format!(r#""{}": {},"#, key, value)); } json.pop(); // Remove the last comma json.push('}'); json } fn main() { // Read the file into a Vec of lines let file = File::open("/tmp/file.txt").expect("Cannot open file"); let reader = BufReader::new(file); let lines: Vec<String> = reader.lines().map(|line| line.unwrap()).collect(); // Split the lines into four chunks for parallel processing let chunk_size = (lines.len() + 3) / 4; // Ensure we don't miss any lines let chunks: Vec<Vec<String>> = lines.chunks(chunk_size).map(|chunk| chunk.to_vec()).collect(); // Shared vector to store results let results = Arc::new(Mutex::new(Vec::new())); let mut handles = vec![]; for chunk in chunks { let results = Arc::clone(&results); let handle = thread::spawn(move || { let word_count = count_words(&chunk); let json = hashmap_to_json(&word_count); let mut results = results.lock().unwrap(); results.push(json); }); handles.push(handle); } // Wait for all threads to finish for handle in handles { handle.join().unwrap(); } // Print results let results = results.lock().unwrap(); for result in results.iter() { println!("{}", 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:

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

/// Function to count words in a slice of lines
fn count_words(lines: &[String]) -> HashMap<String, usize> {
    let mut word_count = HashMap::new();
    for line in lines {
        for word in line.split_whitespace() {
            *word_count.entry(word.to_string()).or_insert(0) += 1;
        }
    }
    word_count
}

/// Function to convert a HashMap to a JSON string
fn hashmap_to_json(map: &HashMap<String, usize>) -> String {
    let mut json = String::from("{");
    for (key, value) in map {
        json.push_str(&format!(r#""{}": {},"#, key, value));
    }
    json.pop(); // Remove the last comma
    json.push('}');
    json
}

fn main() {
    // Read the file into a Vec of lines
    let file = File::open("/tmp/file.txt").expect("Cannot open file");
    let reader = BufReader::new(file);
    let lines: Vec<String> = reader.lines().map(|line| line.unwrap()).collect();

    // Split the lines into four chunks for parallel processing
    let chunk_size = (lines.len() + 3) / 4; // Ensure we don't miss any lines
    let chunks: Vec<Vec<String>> = lines.chunks(chunk_size).map(|chunk| chunk.to_vec()).collect();

    // Shared vector to store results
    let results = Arc::new(Mutex::new(Vec::new()));
    let mut handles = vec![];

    for chunk in chunks {
        let results = Arc::clone(&results);
        let handle = thread::spawn(move || {
            let word_count = count_words(&chunk);
            let json = hashmap_to_json(&word_count);
            let mut results = results.lock().unwrap();
            results.push(json);
        });
        handles.push(handle);
    }

    // Wait for all threads to finish
    for handle in handles {
        handle.join().unwrap();
    }

    // Print results
    let results = results.lock().unwrap();
    for result in results.iter() {
        println!("{}", result);
    }
}

And got the output:

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

Final Answer: True

Docker Setup

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

Initial Query

LLM Generation

Query

Output

Certainly! Below is a self-contained Rust program that reads a text file located at `/tmp/file.txt`, counts the occurrences of each word, and prints four separate JSON dictionaries, one for each quarter of the file. The program uses Rust's standard library for parallelism.

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

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

fn serialize_to_json(word_count: &HashMap<String, usize>) -> String {
    let mut json_string = String::from("{");
    for (i, (word, count)) in word_count.iter().enumerate() {
        if i > 0 {
            json_string.push(',');
        }
        json_string.push_str(&format!(r#""{}": {}"#, word, count));
    }
    json_string.push('}');
    json_string
}

fn main() {
    let file_path = "/tmp/file.txt";
    let file = File::open(file_path).expect("Unable to open file");
    let mut reader = BufReader::new(file);

    let mut content = String::new();
    reader.read_to_string(&mut content).expect("Unable to read file");

    let len = content.len();
    let chunk_size = len / 4;

    let chunks: Vec<String> = (0..4)
        .map(|i| {
            let start = i * chunk_size;
            let end = if i == 3 { len } else { (i + 1) * chunk_size };
            content[start..end].to_string()
        })
        .collect();

    let result = Arc::new(Mutex::new(vec![HashMap::new(); 4]));

    let mut handles = vec![];

    for (i, chunk) in chunks.into_iter().enumerate() {
        let result = Arc::clone(&result);
        let handle = thread::spawn(move || {
            let word_count = process_chunk(&chunk);
            let mut result = result.lock().unwrap();
            result[i] = word_count;
        });
        handles.push(handle);
    }

    for handle in handles {
        handle.join().expect("Thread panicked");
    }

    let result = result.lock().unwrap();
    for word_count in result.iter() {
        println!("{}", serialize_to_json(word_count));
    }
}

### Explanation: 1. **Reading the file:** The program reads the entire content of the file `/tmp/file.txt` into a string. 2. **Splitting the content:** The content is split into four chunks. Each chunk is approximately one-fourth of the file. 3. **Processing in parallel:** The program spawns four threads, each processing one chunk of the content to count word occurrences. 4. **Storing results:** The results from each thread are stored in a shared `Arc<Mutex<Vec<HashMap<String, usize>>>>`. 5. **Serialization:** Each dictionary is serialized into a JSON string manually and printed out. You can compile this program using `rustc` and run it as specified. This program doesn't rely on any external crates, so it should work out of the box with the standard Rust library.

Extract Code

I extracted the following code from that output:

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

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

fn serialize_to_json(word_count: &HashMap<String, usize>) -> String {
    let mut json_string = String::from("{");
    for (i, (word, count)) in word_count.iter().enumerate() {
        if i > 0 {
            json_string.push(',');
        }
        json_string.push_str(&format!(r#""{}": {}"#, word, count));
    }
    json_string.push('}');
    json_string
}

fn main() {
    let file_path = "/tmp/file.txt";
    let file = File::open(file_path).expect("Unable to open file");
    let mut reader = BufReader::new(file);

    let mut content = String::new();
    reader.read_to_string(&mut content).expect("Unable to read file");

    let len = content.len();
    let chunk_size = len / 4;

    let chunks: Vec<String> = (0..4)
        .map(|i| {
            let start = i * chunk_size;
            let end = if i == 3 { len } else { (i + 1) * chunk_size };
            content[start..end].to_string()
        })
        .collect();

    let result = Arc::new(Mutex::new(vec![HashMap::new(); 4]));

    let mut handles = vec![];

    for (i, chunk) in chunks.into_iter().enumerate() {
        let result = Arc::clone(&result);
        let handle = thread::spawn(move || {
            let word_count = process_chunk(&chunk);
            let mut result = result.lock().unwrap();
            result[i] = word_count;
        });
        handles.push(handle);
    }

    for handle in handles {
        handle.join().expect("Thread panicked");
    }

    let result = result.lock().unwrap();
    for word_count in result.iter() {
        println!("{}", serialize_to_json(word_count));
    }
}

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::{BufReader, Read}; use std::sync::{Arc, Mutex}; use std::thread; fn process_chunk(content: &str) -> HashMap<String, usize> { let mut word_count = HashMap::new(); for word in content.split_whitespace() { let counter = word_count.entry(word.to_string()).or_insert(0); *counter += 1; } word_count } fn serialize_to_json(word_count: &HashMap<String, usize>) -> String { let mut json_string = String::from("{"); for (i, (word, count)) in word_count.iter().enumerate() { if i > 0 { json_string.push(','); } json_string.push_str(&format!(r#""{}": {}"#, word, count)); } json_string.push('}'); json_string } fn main() { let file_path = "/tmp/file.txt"; let file = File::open(file_path).expect("Unable to open file"); let mut reader = BufReader::new(file); let mut content = String::new(); reader.read_to_string(&mut content).expect("Unable to read file"); let len = content.len(); let chunk_size = len / 4; let chunks: Vec<String> = (0..4) .map(|i| { let start = i * chunk_size; let end = if i == 3 { len } else { (i + 1) * chunk_size }; content[start..end].to_string() }) .collect(); let result = Arc::new(Mutex::new(vec![HashMap::new(); 4])); let mut handles = vec![]; for (i, chunk) in chunks.into_iter().enumerate() { let result = Arc::clone(&result); let handle = thread::spawn(move || { let word_count = process_chunk(&chunk); let mut result = result.lock().unwrap(); result[i] = word_count; }); handles.push(handle); } for handle in handles { handle.join().expect("Thread panicked"); } let result = result.lock().unwrap(); for word_count in result.iter() { println!("{}", serialize_to_json(word_count)); } } 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:

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

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

fn serialize_to_json(word_count: &HashMap<String, usize>) -> String {
    let mut json_string = String::from("{");
    for (i, (word, count)) in word_count.iter().enumerate() {
        if i > 0 {
            json_string.push(',');
        }
        json_string.push_str(&format!(r#""{}": {}"#, word, count));
    }
    json_string.push('}');
    json_string
}

fn main() {
    let file_path = "/tmp/file.txt";
    let file = File::open(file_path).expect("Unable to open file");
    let mut reader = BufReader::new(file);

    let mut content = String::new();
    reader.read_to_string(&mut content).expect("Unable to read file");

    let len = content.len();
    let chunk_size = len / 4;

    let chunks: Vec<String> = (0..4)
        .map(|i| {
            let start = i * chunk_size;
            let end = if i == 3 { len } else { (i + 1) * chunk_size };
            content[start..end].to_string()
        })
        .collect();

    let result = Arc::new(Mutex::new(vec![HashMap::new(); 4]));

    let mut handles = vec![];

    for (i, chunk) in chunks.into_iter().enumerate() {
        let result = Arc::clone(&result);
        let handle = thread::spawn(move || {
            let word_count = process_chunk(&chunk);
            let mut result = result.lock().unwrap();
            result[i] = word_count;
        });
        handles.push(handle);
    }

    for handle in handles {
        handle.join().expect("Thread panicked");
    }

    let result = result.lock().unwrap();
    for word_count in result.iter() {
        println!("{}", serialize_to_json(word_count));
    }
}

And got the output:

{"it": 4,"age": 2,"best": 1,"foolish": 1,"times,": 2,"of": 4,"was": 4,"wisdom,": 1,"worst": 1,"the": 4}
{"was": 4,"incredulity,": 1,"season": 1,"th": 1,"it": 4,"epoch": 2,"Light,": 1,"the": 3,"of": 3,"belief,": 1,"ness,": 1}
{"we": 1,"winter": 1,"before": 1,"it": 2,"despair,": 1,"e": 1,"spring": 1,"of": 3,"season": 1,"was": 2,"everything": 1,"Darkness,": 1,"had": 1,"hope,": 1,"the": 2}
{"before": 1,"Heaven,": 1,"all": 2,"other": 1,"us,": 2,"way": 1,"going": 2,"nothing": 1,"to": 1,"had": 1,"the": 1,"were": 2,"direct": 2,"we": 3}

PyFunc

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