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

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

Output

# Rust Word Count Program Here's a self-contained Rust program that counts word frequency and outputs JSON: 

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

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

    // Count word frequencies
    let mut word_counts = HashMap::new();
    for word in content.split_whitespace() {
        *word_counts.entry(word.to_string()).or_insert(0) += 1;
    }

    // Create JSON output
    let mut json_output = String::from("{");
    let mut first = true;
    
    for (word, count) in word_counts.iter() {
        if !first {
            json_output.push_str(", ");
        }
        first = false;
        json_output.push_str(&format!("\"{}\": {}", word, count));
    }
    
    json_output.push_str("}");
    println!("{}", json_output);

    Ok(())
}
## How it works 1. The program opens and reads the file at `/tmp/file.txt` 2. It splits the content by whitespace to extract words 3. It counts the frequency of each word using a HashMap 4. It constructs a JSON string with the word counts 5. It prints the JSON to stdout ## Compilation and execution To compile: 
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rustc word_count.rs -o rust_word_count
To run: 
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./rust_word_count
The program requires no arguments and will read from `/tmp/file.txt` by default.

Extract Code

I extracted the following code from that output: 

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

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

    // Count word frequencies
    let mut word_counts = HashMap::new();
    for word in content.split_whitespace() {
        *word_counts.entry(word.to_string()).or_insert(0) += 1;
    }

    // Create JSON output
    let mut json_output = String::from("{");
    let mut first = true;
    
    for (word, count) in word_counts.iter() {
        if !first {
            json_output.push_str(", ");
        }
        first = false;
        json_output.push_str(&format!("\"{}\": {}", word, count));
    }
    
    json_output.push_str("}");
    println!("{}", json_output);

    Ok(())
}

Run Code Interpreter

Running the following program: 

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

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

    // Count word frequencies
    let mut word_counts = HashMap::new();
    for word in content.split_whitespace() {
        *word_counts.entry(word.to_string()).or_insert(0) += 1;
    }

    // Create JSON output
    let mut json_output = String::from("{");
    let mut first = true;
    
    for (word, count) in word_counts.iter() {
        if !first {
            json_output.push_str(", ");
        }
        first = false;
        json_output.push_str(&format!("\"{}\": {}", word, count));
    }
    
    json_output.push_str("}");
    println!("{}", json_output);

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

Extract Json

I extracted the following JSON from that output: 

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

JSON Subset Evaluator

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

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

Output

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

fn main() {
    // Open the file
    let file = match File::open("/tmp/file.txt") {
        Ok(file) => file,
        Err(e) => {
            eprintln!("Error opening file: {}", e);
            return;
        }
    };

    // Create a reader
    let reader = BufReader::new(file);

    // Create a HashMap to store word counts
    let mut word_counts = HashMap::new();

    // Process each line in the file
    for line in reader.lines() {
        match line {
            Ok(line) => {
                // Split the line into words
                for word in line.split_whitespace() {
                    *word_counts.entry(word.to_string()).or_insert(0) += 1;
                }
            }
            Err(e) => {
                eprintln!("Error reading line: {}", e);
                return;
            }
        }
    }

    // Build JSON output
    let mut output = String::from("{");
    let mut first = true;

    for (word, count) in word_counts {
        if !first {
            output.push_str(", ");
        } else {
            first = false;
        }
        output.push_str(&format!("\"{}\": {}", word, count));
    }

    output.push('}');

    // Print the output
    println!("{}", output);
}
This program: 1. Opens the file at `/tmp/file.txt` 2. Reads the file line by line 3. Splits each line into words using whitespace as the delimiter 4. Counts occurrences of each word in a HashMap 5. Formats the results as a JSON string 6. Prints the JSON to stdout It handles words with attached punctuation (like "is,") as separate from their unpunctuated versions, which matches the expected output in your example.

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};

fn main() {
    // Open the file
    let file = match File::open("/tmp/file.txt") {
        Ok(file) => file,
        Err(e) => {
            eprintln!("Error opening file: {}", e);
            return;
        }
    };

    // Create a reader
    let reader = BufReader::new(file);

    // Create a HashMap to store word counts
    let mut word_counts = HashMap::new();

    // Process each line in the file
    for line in reader.lines() {
        match line {
            Ok(line) => {
                // Split the line into words
                for word in line.split_whitespace() {
                    *word_counts.entry(word.to_string()).or_insert(0) += 1;
                }
            }
            Err(e) => {
                eprintln!("Error reading line: {}", e);
                return;
            }
        }
    }

    // Build JSON output
    let mut output = String::from("{");
    let mut first = true;

    for (word, count) in word_counts {
        if !first {
            output.push_str(", ");
        } else {
            first = false;
        }
        output.push_str(&format!("\"{}\": {}", word, count));
    }

    output.push('}');

    // Print the output
    println!("{}", output);
}

Run Code Interpreter

Running the following program: 

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

fn main() {
    // Open the file
    let file = match File::open("/tmp/file.txt") {
        Ok(file) => file,
        Err(e) => {
            eprintln!("Error opening file: {}", e);
            return;
        }
    };

    // Create a reader
    let reader = BufReader::new(file);

    // Create a HashMap to store word counts
    let mut word_counts = HashMap::new();

    // Process each line in the file
    for line in reader.lines() {
        match line {
            Ok(line) => {
                // Split the line into words
                for word in line.split_whitespace() {
                    *word_counts.entry(word.to_string()).or_insert(0) += 1;
                }
            }
            Err(e) => {
                eprintln!("Error reading line: {}", e);
                return;
            }
        }
    }

    // Build JSON output
    let mut output = String::from("{");
    let mut first = true;

    for (word, count) in word_counts {
        if !first {
            output.push_str(", ");
        } else {
            first = false;
        }
        output.push_str(&format!("\"{}\": {}", word, count));
    }

    output.push('}');

    // Print the output
    println!("{}", output);
}
And got the output: {"of": 10, "were": 2, "Light,": 1, "despair,": 1, "times,": 2, "direct": 2, "was": 10, "spring": 1, "hope,": 1, "epoch": 2, "other": 1, "before": 2, "nothing": 1, "all": 2, "us,": 2, "Heaven,": 1, "the": 11, "incredulity,": 1, "going": 2, "foolishness,": 1, "to": 1, "everything": 1, "it": 10, "best": 1, "age": 2, "belief,": 1, "season": 2, "winter": 1, "we": 4, "way": 1, "had": 2, "worst": 1, "Darkness,": 1, "wisdom,": 1}

Extract Json

I extracted the following JSON from that output: 

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

JSON Subset Evaluator

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