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 Do not import serde_json, write json output from scratch.

LLM Generation

Query

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

Output

Below is a complete Rust program (in one file) that reads the text file at /tmp/file.txt, splits it by whitespace (so punctuation isn’t removed), keeps track of each word’s frequency (preserving the order of first appearance), and then prints a JSON‐formatted output to stdout. You can compile it with:   rustc yourfile.rs Here’s the code: ---------------------------------------------------- use std::collections::HashMap; use std::fs; fn main() { // Read the file /tmp/file.txt. let contents = match fs::read_to_string("/tmp/file.txt") { Ok(text) => text, Err(e) => { eprintln!("Error reading file: {}", e); return; } }; // Use a HashMap for frequency count and a Vec to preserve order // of first appearance of each word. let mut freq: HashMap<String, usize> = HashMap::new(); let mut order: Vec<String> = Vec::new(); // Split the contents into words by whitespace. for word in contents.split_whitespace() { if !freq.contains_key(word) { order.push(word.to_string()); } *freq.entry(word.to_string()).or_insert(0) += 1; } // Start outputting JSON. // We output a "{" then each "key": value separated by commas, // then close with "}". print!("{{"); let mut first = true; for key in order { if !first { print!(", "); } first = false; // Print the key inside double quotes, then colon and the count. // We assume the word itself does not contain quotes or special characters. print!("\"{}\": {}", key, freq.get(&key).unwrap()); } println!("}}"); } ---------------------------------------------------- Explanation: 1. The program reads the file "/tmp/file.txt". If the file can’t be read, it prints an error and exits. 2. It splits the file’s contents on whitespace (so punctuation stays attached to words, e.g. "is," remains different than "is"). 3. It uses a HashMap to count word frequencies and a Vec to preserve the order of first occurrence. 4. Finally, it prints the results in JSON format to stdout. For example, if /tmp/file.txt contains:   This is is is, an example The program’s output will be:   {"This": 1, "is": 2, "is,": 1, "an": 1, "example": 1}

Extract Code

I extracted the following code from that output: 

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use std::collections::HashMap;
use std::fs;

fn main() {
    // Read the file /tmp/file.txt.
    let contents = match fs::read_to_string("/tmp/file.txt") {
        Ok(text) => text,
        Err(e) => {
            eprintln!("Error reading file: {}", e);
            return;
        }
    };

    // Use a HashMap for frequency count and a Vec to preserve order
    // of first appearance of each word.
    let mut freq: HashMap<String, usize> = HashMap::new();
    let mut order: Vec<String> = Vec::new();

    // Split the contents into words by whitespace.
    for word in contents.split_whitespace() {
        if !freq.contains_key(word) {
            order.push(word.to_string());
        }
        *freq.entry(word.to_string()).or_insert(0) += 1;
    }

    // Start outputting JSON.
    // We output a "{" then each "key": value separated by commas,
    // then close with "}".
    print!("{{");

    let mut first = true;
    for key in order {
        if !first {
            print!(", ");
        }
        first = false;
        // Print the key inside double quotes, then colon and the count.
        // We assume the word itself does not contain quotes or special characters.
        print!("\"{}\": {}", key, freq.get(&key).unwrap());
    }
    println!("}}");
}

Run Code Interpreter

Running the following program: 

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use std::collections::HashMap;
use std::fs;

fn main() {
    // Read the file /tmp/file.txt.
    let contents = match fs::read_to_string("/tmp/file.txt") {
        Ok(text) => text,
        Err(e) => {
            eprintln!("Error reading file: {}", e);
            return;
        }
    };

    // Use a HashMap for frequency count and a Vec to preserve order
    // of first appearance of each word.
    let mut freq: HashMap<String, usize> = HashMap::new();
    let mut order: Vec<String> = Vec::new();

    // Split the contents into words by whitespace.
    for word in contents.split_whitespace() {
        if !freq.contains_key(word) {
            order.push(word.to_string());
        }
        *freq.entry(word.to_string()).or_insert(0) += 1;
    }

    // Start outputting JSON.
    // We output a "{" then each "key": value separated by commas,
    // then close with "}".
    print!("{{");

    let mut first = true;
    for key in order {
        if !first {
            print!(", ");
        }
        first = false;
        // Print the key inside double quotes, then colon and the count.
        // We assume the word itself does not contain quotes or special characters.
        print!("\"{}\": {}", key, freq.get(&key).unwrap());
    }
    println!("}}");
}
And got the output: {"it": 10, "was": 10, "the": 11, "best": 1, "of": 10, "times,": 2, "worst": 1, "age": 2, "wisdom,": 1, "foolishness,": 1, "epoch": 2, "belief,": 1, "incredulity,": 1, "season": 2, "Light,": 1, "Darkness,": 1, "spring": 1, "hope,": 1, "winter": 1, "despair,": 1, "we": 4, "had": 2, "everything": 1, "before": 2, "us,": 2, "nothing": 1, "were": 2, "all": 2, "going": 2, "direct": 2, "to": 1, "Heaven,": 1, "other": 1, "way": 1}

Extract Json

I extracted the following JSON from that output: 

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

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 Do not import serde_json, write json output from scratch.

LLM Generation

Query

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

Output

Below is a complete Rust program that does what you requested. It reads the file at /tmp/file.txt, splits the text on whitespace (so punctuation stays attached to words), counts the frequency while preserving the order of first appearance, and finally prints a JSON string to stdout without using any external crates. ------------------------------------------------------------ /* Save this as rust_word_count.rs and compile with: rustc rust_word_count.rs Then run it with no arguments: ./rust_word_count */ use std::collections::HashMap; use std::fs; use std::process; fn main() { // Attempt to read the file /tmp/file.txt. Exit on error. let text = match fs::read_to_string("/tmp/file.txt") { Ok(content) => content, Err(err) => { eprintln!("Error reading file: {}", err); process::exit(1); } }; // We'll use a HashMap to count words, and a Vec to store the order let mut counts = HashMap::new(); let mut order: Vec<&str> = Vec::new(); // Split the text by whitespace (so punctuation remains attached) for word in text.split_whitespace() { // Register the word if it's the first time we see it. if !counts.contains_key(word) { order.push(word); } // Increment the word count. *counts.entry(word).or_insert(0) += 1; } // Build the JSON string manually. // Start with an opening brace. let mut json_output = String::from("{"); // Loop through the words in their order of appearance. let mut first = true; for word in order { if !first { json_output.push_str(", "); } // For JSON, we need to wrap keys in quotes. Here we assume the words // do not need further escaping. json_output.push('"'); json_output.push_str(word); json_output.push('"'); json_output.push_str(": "); json_output.push_str(&counts[word].to_string()); first = false; } // End the JSON object. json_output.push('}'); // Print the final JSON output. println!("{}", json_output); } ------------------------------------------------------------ For example, if /tmp/file.txt contains: This is is is, an example the output will be: {"This": 1, "is": 2, "is,": 1, "an": 1, "example": 1} This solution uses only the Rust standard library so that you can compile it directly with rustc without needing a Cargo.toml file.

Extract Code

I extracted the following code from that output: 

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/* Save this as rust_word_count.rs and compile with:
     rustc rust_word_count.rs
   Then run it with no arguments:
     ./rust_word_count
*/

use std::collections::HashMap;
use std::fs;
use std::process;

fn main() {
    // Attempt to read the file /tmp/file.txt. Exit on error.
    let text = match fs::read_to_string("/tmp/file.txt") {
        Ok(content) => content,
        Err(err) => {
            eprintln!("Error reading file: {}", err);
            process::exit(1);
        }
    };

    // We'll use a HashMap to count words, and a Vec to store the order
    let mut counts = HashMap::new();
    let mut order: Vec<&str> = Vec::new();

    // Split the text by whitespace (so punctuation remains attached)
    for word in text.split_whitespace() {
        // Register the word if it's the first time we see it.
        if !counts.contains_key(word) {
            order.push(word);
        }
        // Increment the word count.
        *counts.entry(word).or_insert(0) += 1;
    }

    // Build the JSON string manually.
    // Start with an opening brace.
    let mut json_output = String::from("{");

    // Loop through the words in their order of appearance.
    let mut first = true;
    for word in order {
        if !first {
            json_output.push_str(", ");
        }
        // For JSON, we need to wrap keys in quotes. Here we assume the words
        // do not need further escaping.
        json_output.push('"');
        json_output.push_str(word);
        json_output.push('"');
        json_output.push_str(": ");
        json_output.push_str(&counts[word].to_string());
        first = false;
    }

    // End the JSON object.
    json_output.push('}');

    // Print the final JSON output.
    println!("{}", json_output);
}

Run Code Interpreter

Running the following program: 

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/* Save this as rust_word_count.rs and compile with:
     rustc rust_word_count.rs
   Then run it with no arguments:
     ./rust_word_count
*/

use std::collections::HashMap;
use std::fs;
use std::process;

fn main() {
    // Attempt to read the file /tmp/file.txt. Exit on error.
    let text = match fs::read_to_string("/tmp/file.txt") {
        Ok(content) => content,
        Err(err) => {
            eprintln!("Error reading file: {}", err);
            process::exit(1);
        }
    };

    // We'll use a HashMap to count words, and a Vec to store the order
    let mut counts = HashMap::new();
    let mut order: Vec<&str> = Vec::new();

    // Split the text by whitespace (so punctuation remains attached)
    for word in text.split_whitespace() {
        // Register the word if it's the first time we see it.
        if !counts.contains_key(word) {
            order.push(word);
        }
        // Increment the word count.
        *counts.entry(word).or_insert(0) += 1;
    }

    // Build the JSON string manually.
    // Start with an opening brace.
    let mut json_output = String::from("{");

    // Loop through the words in their order of appearance.
    let mut first = true;
    for word in order {
        if !first {
            json_output.push_str(", ");
        }
        // For JSON, we need to wrap keys in quotes. Here we assume the words
        // do not need further escaping.
        json_output.push('"');
        json_output.push_str(word);
        json_output.push('"');
        json_output.push_str(": ");
        json_output.push_str(&counts[word].to_string());
        first = false;
    }

    // End the JSON object.
    json_output.push('}');

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

Extract Json

I extracted the following JSON from that output: 

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