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

Output

Here is a self-contained Rust program that reads a text file located at `/tmp/file.txt`, counts the occurrences of each word, and prints the result as a JSON object to stdout:

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

fn main() -> io::Result<()> {
    // Read the file content into a string
    let content = fs::read_to_string("/tmp/file.txt")?;

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

    // Split the content into words and count occurrences
    for word in content.split_whitespace() {
        let count = word_count.entry(word.to_string()).or_insert(0);
        *count += 1;
    }

    // Print the word count as a JSON object
    print!("{");
    let mut first = true;
    for (word, count) in &word_count {
        if !first {
            print!(", ");
        }
        print!("\"{}\": {}", word, count);
        first = false;
    }
    println!("}");

    Ok(())
}

### Explanation: 1. **File Reading**: The program reads the entire content of `/tmp/file.txt` into a string using `fs::read_to_string`. 2. **Word Splitting**: It splits the content into words using `split_whitespace`, which handles spaces, tabs, and newlines. 3. **Counting**: It uses a `HashMap` to count the occurrences of each word. 4. **JSON Output**: The program iterates over the `HashMap` and prints the word counts in JSON format. ### Usage: 1. Save the program to a file, e.g., `rust_word_count.rs`. 2. Compile it with `rustc rust_word_count.rs`. 3. Run the compiled program: `./rust_word_count`. ### Example: If `/tmp/file.txt` contains the text `"This is is is, an example"`, the program will output:

{"This": 1, "is": 2, "is,": 1, "an": 1, "example": 1}

This program does not require any external crates and can be compiled and run directly with `rustc`.

Extract Code

I extracted the following code from that output:

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

fn main() -> io::Result<()> {
    // Read the file content into a string
    let content = fs::read_to_string("/tmp/file.txt")?;

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

    // Split the content into words and count occurrences
    for word in content.split_whitespace() {
        let count = word_count.entry(word.to_string()).or_insert(0);
        *count += 1;
    }

    // Print the word count as a JSON object
    print!("{");
    let mut first = true;
    for (word, count) in &word_count {
        if !first {
            print!(", ");
        }
        print!("\"{}\": {}", word, count);
        first = false;
    }
    println!("}");

    Ok(())
}

Run Code Interpreter

Running the following program:

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

fn main() -> io::Result<()> {
    // Read the file content into a string
    let content = fs::read_to_string("/tmp/file.txt")?;

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

    // Split the content into words and count occurrences
    for word in content.split_whitespace() {
        let count = word_count.entry(word.to_string()).or_insert(0);
        *count += 1;
    }

    // Print the word count as a JSON object
    print!("{");
    let mut first = true;
    for (word, count) in &word_count {
        if !first {
            print!(", ");
        }
        print!("\"{}\": {}", word, count);
        first = false;
    }
    println!("}");

    Ok(())
}

And got the output:

error: invalid format string: expected `'}'` but string was terminated
  --> main.rs:20:14
   |
20 |     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:29:15
   |
29 |     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

Extract Json

I extracted the following JSON from that output:

{
  "errors": [
    {
      "type": "invalid format string",
      "message": "expected `'}'` but string was terminated",
      "location": "main.rs:20:14",
      "details": [
        {
          "line": 20,
          "code": "print!(\"{\");",
          "markers": [
            {
              "position": 14,
              "message": "expected `'}'` in format string",
              "context": "because of this opening brace"
            }
          ]
        }
      ],
      "note": "if you intended to print `{`, you can escape it using `{{`"
    },
    {
      "type": "invalid format string",
      "message": "unmatched `}` found",
      "location": "main.rs:29:15",
      "details": [
        {
          "line": 29,
          "code": "println!(\"}\");",
          "markers": [
            {
              "position": 15,
              "message": "unmatched `}` in format string"
            }
          ]
        }
      ],
      "note": "if you intended to print `}`, you can escape it using `}}`"
    }
  ],
  "abort": "due to 2 previous errors",
  "shell_error": "main.sh: line 2: ./a.out: No such file or directory"
}

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 }: False