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

Here's a self-contained Rust program that meets your requirements. It reads a text file from `/tmp/file.txt`, counts word occurrences, and prints a JSON-like output without using any external crates: 

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

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

    for line in reader.lines() {
        if let Ok(line) = line {
            for word in line.split_whitespace() {
                let count = word_count.entry(word.to_string()).or_insert(0);
                *count += 1;
            }
        }
    }

    // Print JSON-like output
    print!("{{");
    let mut first = true;
    for (word, count) in word_count.iter() {
        if !first {
            print!(", ");
        }
        print!("\"{}\": {}", escape_json(word), count);
        first = false;
    }
    println!("}}");
}

fn escape_json(s: &str) -> String {
    s.replace('\\', "\\\\")
     .replace('\"', "\\\"")
     .replace('\n', "\\n")
     .replace('\r', "\\r")
     .replace('\t', "\\t")
}
This program does the following: 1. It opens the file `/tmp/file.txt` and creates a buffered reader. 2. It uses a `HashMap` to count word occurrences. 3. It reads the file line by line, splits each line into words, and updates the word count in the `HashMap`. 4. After processing the file, it prints a JSON-like output. 5. The `escape_json` function is used to properly escape special characters in the words when outputting JSON. To compile and run this program: 1. Save it as `rust_word_count.rs` 2. Compile it with: `rustc rust_word_count.rs` 3. Run it with: `./rust_word_count` The program will read from `/tmp/file.txt` and print the word count in JSON format to stdout. Note that this implementation treats words separated by whitespace as distinct, so "is" and "is," would be counted as separate words. If you need more sophisticated word splitting or punctuation handling, you'd need to modify the word splitting logic.

Extract Code

I extracted the following code from that output: 

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

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

    for line in reader.lines() {
        if let Ok(line) = line {
            for word in line.split_whitespace() {
                let count = word_count.entry(word.to_string()).or_insert(0);
                *count += 1;
            }
        }
    }

    // Print JSON-like output
    print!("{{");
    let mut first = true;
    for (word, count) in word_count.iter() {
        if !first {
            print!(", ");
        }
        print!("\"{}\": {}", escape_json(word), count);
        first = false;
    }
    println!("}}");
}

fn escape_json(s: &str) -> String {
    s.replace('\\', "\\\\")
     .replace('\"', "\\\"")
     .replace('\n', "\\n")
     .replace('\r', "\\r")
     .replace('\t', "\\t")
}

Run Code Interpreter

Running the following program: 

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

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

    for line in reader.lines() {
        if let Ok(line) = line {
            for word in line.split_whitespace() {
                let count = word_count.entry(word.to_string()).or_insert(0);
                *count += 1;
            }
        }
    }

    // Print JSON-like output
    print!("{{");
    let mut first = true;
    for (word, count) in word_count.iter() {
        if !first {
            print!(", ");
        }
        print!("\"{}\": {}", escape_json(word), count);
        first = false;
    }
    println!("}}");
}

fn escape_json(s: &str) -> String {
    s.replace('\\', "\\\\")
     .replace('\"', "\\\"")
     .replace('\n', "\\n")
     .replace('\r', "\\r")
     .replace('\t', "\\t")
}
And got the output: {"despair,": 1, "incredulity,": 1, "everything": 1, "we": 4, "times,": 2, "other": 1, "nothing": 1, "worst": 1, "Darkness,": 1, "it": 10, "Heaven,": 1, "us,": 2, "all": 2, "to": 1, "had": 2, "spring": 1, "season": 2, "going": 2, "before": 2, "way": 1, "was": 10, "foolishness,": 1, "belief,": 1, "Light,": 1, "winter": 1, "age": 2, "of": 10, "best": 1, "the": 11, "epoch": 2, "were": 2, "wisdom,": 1, "hope,": 1, "direct": 2}

Extract Json

I extracted the following JSON from that output: 

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

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

Here's a self-contained Rust program that meets your requirements. It reads a text file from `/tmp/file.txt`, counts word occurrences, and prints the result as JSON to stdout without using any external crates: 

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

fn main() {
    // Open the file
    let file = File::open("/tmp/file.txt").expect("Failed to open file");
    let reader = BufReader::new(file);

    // Count word occurrences
    let mut word_counts: HashMap<String, usize> = HashMap::new();
    for line in reader.lines() {
        let line = line.expect("Failed to read line");
        for word in line.split_whitespace() {
            *word_counts.entry(word.to_string()).or_insert(0) += 1;
        }
    }

    // Construct JSON output
    let mut json_output = String::from("{");
    for (i, (word, count)) in word_counts.iter().enumerate() {
        if i > 0 {
            json_output.push_str(", ");
        }
        json_output.push_str(&format!("\"{}\": {}", escape_json(word), count));
    }
    json_output.push('}');

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

// Function to escape special characters in JSON strings
fn escape_json(s: &str) -> String {
    s.chars().flat_map(|c| match c {
        '"' => "\\\"".chars().collect(),
        '\\' => "\\\\".chars().collect(),
        '\n' => "\\n".chars().collect(),
        '\r' => "\\r".chars().collect(),
        '\t' => "\\t".chars().collect(),
        _ => vec![c],
    }).collect()
}
This program does the following: 1. It opens the file `/tmp/file.txt` and reads it line by line. 2. It splits each line into words and counts their occurrences using a `HashMap`. 3. It then constructs a JSON string representation of the word counts. 4. Finally, it prints the JSON string to stdout. The `escape_json` function is included to properly escape special characters in the JSON output, ensuring valid JSON is produced. To compile and run this program: 1. Save the code to a file, e.g., `word_count.rs`. 2. Compile it with: `rustc word_count.rs` 3. Run the resulting executable: `./word_count` This program will work with the `rustc` compiler without needing any external crates or a Cargo.toml file. It reads from `/tmp/file.txt` and prints the JSON output to stdout as requested.

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 = File::open("/tmp/file.txt").expect("Failed to open file");
    let reader = BufReader::new(file);

    // Count word occurrences
    let mut word_counts: HashMap<String, usize> = HashMap::new();
    for line in reader.lines() {
        let line = line.expect("Failed to read line");
        for word in line.split_whitespace() {
            *word_counts.entry(word.to_string()).or_insert(0) += 1;
        }
    }

    // Construct JSON output
    let mut json_output = String::from("{");
    for (i, (word, count)) in word_counts.iter().enumerate() {
        if i > 0 {
            json_output.push_str(", ");
        }
        json_output.push_str(&format!("\"{}\": {}", escape_json(word), count));
    }
    json_output.push('}');

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

// Function to escape special characters in JSON strings
fn escape_json(s: &str) -> String {
    s.chars().flat_map(|c| match c {
        '"' => "\\\"".chars().collect(),
        '\\' => "\\\\".chars().collect(),
        '\n' => "\\n".chars().collect(),
        '\r' => "\\r".chars().collect(),
        '\t' => "\\t".chars().collect(),
        _ => vec![c],
    }).collect()
}

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 = File::open("/tmp/file.txt").expect("Failed to open file");
    let reader = BufReader::new(file);

    // Count word occurrences
    let mut word_counts: HashMap<String, usize> = HashMap::new();
    for line in reader.lines() {
        let line = line.expect("Failed to read line");
        for word in line.split_whitespace() {
            *word_counts.entry(word.to_string()).or_insert(0) += 1;
        }
    }

    // Construct JSON output
    let mut json_output = String::from("{");
    for (i, (word, count)) in word_counts.iter().enumerate() {
        if i > 0 {
            json_output.push_str(", ");
        }
        json_output.push_str(&format!("\"{}\": {}", escape_json(word), count));
    }
    json_output.push('}');

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

// Function to escape special characters in JSON strings
fn escape_json(s: &str) -> String {
    s.chars().flat_map(|c| match c {
        '"' => "\\\"".chars().collect(),
        '\\' => "\\\\".chars().collect(),
        '\n' => "\\n".chars().collect(),
        '\r' => "\\r".chars().collect(),
        '\t' => "\\t".chars().collect(),
        _ => vec![c],
    }).collect()
}
And got the output: {"had": 2, "the": 11, "way": 1, "direct": 2, "to": 1, "were": 2, "spring": 1, "we": 4, "us,": 2, "season": 2, "Darkness,": 1, "age": 2, "foolishness,": 1, "it": 10, "belief,": 1, "going": 2, "of": 10, "winter": 1, "best": 1, "everything": 1, "all": 2, "incredulity,": 1, "before": 2, "wisdom,": 1, "worst": 1, "Heaven,": 1, "hope,": 1, "nothing": 1, "times,": 2, "Light,": 1, "was": 10, "despair,": 1, "epoch": 2, "other": 1}

Extract Json

I extracted the following JSON from that output: 

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

Here's a self-contained Rust program that meets your requirements. It reads a text file from `/tmp/file.txt`, counts word occurrences, and prints the result as JSON to stdout without using any external crates: 

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

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

    let mut word_counts = HashMap::new();

    for line in reader.lines() {
        let line = line.expect("Failed to read line");
        for word in line.split_whitespace() {
            *word_counts.entry(word.to_string()).or_insert(0) += 1;
        }
    }

    print_json(&word_counts);
}

fn print_json(map: &HashMap<String, i32>) {
    print!("{{");
    let mut first = true;
    for (key, value) in map {
        if !first {
            print!(", ");
        }
        first = false;
        print!("\"{}\": {}", escape_json(key), value);
    }
    println!("}}");
}

fn escape_json(s: &str) -> String {
    s.replace('\\', "\\\\")
     .replace('"', "\\\"")
     .replace('\n', "\\n")
     .replace('\r', "\\r")
     .replace('\t', "\\t")
}
This program does the following: 1. It opens the file `/tmp/file.txt` and creates a `BufReader` to read it line by line. 2. It uses a `HashMap` to count word occurrences. Each word is used as a key, and its count as the value. 3. It iterates through each line of the file, splits it into words, and updates the count for each word in the `HashMap`. 4. After counting all words, it calls `print_json` to output the result in JSON format. 5. The `print_json` function manually constructs a JSON object string from the `HashMap`. 6. The `escape_json` function handles escaping special characters in JSON strings. To compile and run this program: 1. Save it to a file, e.g., `word_count.rs`. 2. Compile it with `rustc word_count.rs`. 3. Run the resulting executable with `./word_count`. This program will read from `/tmp/file.txt` and print the word count as JSON to stdout. It doesn't require any external crates or a Cargo.toml file, and can be compiled directly with `rustc`.

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() {
    let file = File::open("/tmp/file.txt").expect("Failed to open file");
    let reader = BufReader::new(file);

    let mut word_counts = HashMap::new();

    for line in reader.lines() {
        let line = line.expect("Failed to read line");
        for word in line.split_whitespace() {
            *word_counts.entry(word.to_string()).or_insert(0) += 1;
        }
    }

    print_json(&word_counts);
}

fn print_json(map: &HashMap<String, i32>) {
    print!("{{");
    let mut first = true;
    for (key, value) in map {
        if !first {
            print!(", ");
        }
        first = false;
        print!("\"{}\": {}", escape_json(key), value);
    }
    println!("}}");
}

fn escape_json(s: &str) -> String {
    s.replace('\\', "\\\\")
     .replace('"', "\\\"")
     .replace('\n', "\\n")
     .replace('\r', "\\r")
     .replace('\t', "\\t")
}

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() {
    let file = File::open("/tmp/file.txt").expect("Failed to open file");
    let reader = BufReader::new(file);

    let mut word_counts = HashMap::new();

    for line in reader.lines() {
        let line = line.expect("Failed to read line");
        for word in line.split_whitespace() {
            *word_counts.entry(word.to_string()).or_insert(0) += 1;
        }
    }

    print_json(&word_counts);
}

fn print_json(map: &HashMap<String, i32>) {
    print!("{{");
    let mut first = true;
    for (key, value) in map {
        if !first {
            print!(", ");
        }
        first = false;
        print!("\"{}\": {}", escape_json(key), value);
    }
    println!("}}");
}

fn escape_json(s: &str) -> String {
    s.replace('\\', "\\\\")
     .replace('"', "\\\"")
     .replace('\n', "\\n")
     .replace('\r', "\\r")
     .replace('\t', "\\t")
}
And got the output: {"worst": 1, "foolishness,": 1, "hope,": 1, "belief,": 1, "nothing": 1, "were": 2, "going": 2, "epoch": 2, "times,": 2, "was": 10, "Heaven,": 1, "winter": 1, "age": 2, "other": 1, "way": 1, "season": 2, "best": 1, "Darkness,": 1, "to": 1, "the": 11, "incredulity,": 1, "it": 10, "Light,": 1, "all": 2, "us,": 2, "spring": 1, "wisdom,": 1, "had": 2, "everything": 1, "before": 2, "of": 10, "we": 4, "direct": 2, "despair,": 1}

Extract Json

I extracted the following JSON from that output: 

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

Here's a self-contained Rust program that meets your requirements: 

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

fn main() {
    // Read the file
    let file = File::open("/tmp/file.txt").expect("Failed to open file");
    let reader = BufReader::new(file);

    // Count word occurrences
    let mut word_counts: HashMap<String, usize> = HashMap::new();

    for line in reader.lines() {
        let line = line.expect("Failed to read line");
        for word in line.split_whitespace() {
            *word_counts.entry(word.to_string()).or_insert(0) += 1;
        }
    }

    // Create JSON output
    let mut json_output = String::from("{");
    for (i, (word, count)) in word_counts.iter().enumerate() {
        if i > 0 {
            json_output.push_str(", ");
        }
        json_output.push_str(&format!("\"{}\": {}", escape_json(word), count));
    }
    json_output.push('}');

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

fn escape_json(s: &str) -> String {
    s.replace('\\', "\\\\")
        .replace('"', "\\\"")
        .replace('\n', "\\n")
        .replace('\r', "\\r")
        .replace('\t', "\\t")
}
This program does the following: 1. It reads the file `/tmp/file.txt` line by line. 2. It splits each line into words and counts their occurrences using a `HashMap`. 3. It then constructs a JSON string manually, ensuring proper escaping of special characters in the words. 4. Finally, it prints the JSON string to stdout. To compile and run this program: 1. Save the code to a file, e.g., `word_count.rs` 2. Compile it with: `rustc word_count.rs` 3. Run the resulting executable: `./word_count` This program doesn't use any external crates and can be compiled directly with `rustc`. It will read the file at `/tmp/file.txt`, count the words, and output the JSON representation of the word counts to stdout. Note that this simple implementation considers words separated by whitespace and includes punctuation as part of words. For example, "is" and "is," would be considered different words. If you need more sophisticated word splitting or punctuation handling, you might need to adjust the word splitting logic.

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() {
    // Read the file
    let file = File::open("/tmp/file.txt").expect("Failed to open file");
    let reader = BufReader::new(file);

    // Count word occurrences
    let mut word_counts: HashMap<String, usize> = HashMap::new();

    for line in reader.lines() {
        let line = line.expect("Failed to read line");
        for word in line.split_whitespace() {
            *word_counts.entry(word.to_string()).or_insert(0) += 1;
        }
    }

    // Create JSON output
    let mut json_output = String::from("{");
    for (i, (word, count)) in word_counts.iter().enumerate() {
        if i > 0 {
            json_output.push_str(", ");
        }
        json_output.push_str(&format!("\"{}\": {}", escape_json(word), count));
    }
    json_output.push('}');

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

fn escape_json(s: &str) -> String {
    s.replace('\\', "\\\\")
        .replace('"', "\\\"")
        .replace('\n', "\\n")
        .replace('\r', "\\r")
        .replace('\t', "\\t")
}

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() {
    // Read the file
    let file = File::open("/tmp/file.txt").expect("Failed to open file");
    let reader = BufReader::new(file);

    // Count word occurrences
    let mut word_counts: HashMap<String, usize> = HashMap::new();

    for line in reader.lines() {
        let line = line.expect("Failed to read line");
        for word in line.split_whitespace() {
            *word_counts.entry(word.to_string()).or_insert(0) += 1;
        }
    }

    // Create JSON output
    let mut json_output = String::from("{");
    for (i, (word, count)) in word_counts.iter().enumerate() {
        if i > 0 {
            json_output.push_str(", ");
        }
        json_output.push_str(&format!("\"{}\": {}", escape_json(word), count));
    }
    json_output.push('}');

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

fn escape_json(s: &str) -> String {
    s.replace('\\', "\\\\")
        .replace('"', "\\\"")
        .replace('\n', "\\n")
        .replace('\r', "\\r")
        .replace('\t', "\\t")
}
And got the output: {"season": 2, "incredulity,": 1, "times,": 2, "best": 1, "of": 10, "age": 2, "despair,": 1, "going": 2, "worst": 1, "to": 1, "Heaven,": 1, "Light,": 1, "before": 2, "us,": 2, "Darkness,": 1, "it": 10, "other": 1, "the": 11, "epoch": 2, "we": 4, "spring": 1, "had": 2, "wisdom,": 1, "were": 2, "direct": 2, "was": 10, "winter": 1, "everything": 1, "nothing": 1, "way": 1, "hope,": 1, "all": 2, "foolishness,": 1, "belief,": 1}

Extract Json

I extracted the following JSON from that output: 

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

Here's a self-contained Rust program that meets your requirements: 

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

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

    let mut word_count: HashMap<String, usize> = HashMap::new();

    for line in reader.lines() {
        let line = line.expect("Failed to read line");
        for word in line.split_whitespace() {
            *word_count.entry(word.to_string()).or_insert(0) += 1;
        }
    }

    // Convert HashMap to a JSON-like string
    let mut json_output = String::from("{");
    for (i, (word, count)) in word_count.iter().enumerate() {
        if i > 0 {
            json_output.push_str(", ");
        }
        json_output.push_str(&format!("\"{}\": {}", word, count));
    }
    json_output.push('}');

    println!("{}", json_output);
}
This program does the following: 1. It opens the file at `/tmp/file.txt`. 2. It reads the file line by line. 3. For each line, it splits the line into words and counts their occurrences using a `HashMap`. 4. After processing all lines, it constructs a JSON-like string manually from the `HashMap`. 5. Finally, it prints the JSON-like string to stdout. To compile and run this program: 1. Save this code to a file, e.g., `word_count.rs`. 2. Compile it with: `rustc word_count.rs` 3. This will create an executable named `word_count`. 4. Run it with: `./word_count` The program will read from `/tmp/file.txt` and print the word count in JSON format to stdout. Note that this program treats words case-sensitively and includes punctuation as part of words. If you need more sophisticated word splitting or case-insensitive counting, you'd need to modify the word splitting logic.

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() {
    let file = File::open("/tmp/file.txt").expect("Failed to open file");
    let reader = BufReader::new(file);

    let mut word_count: HashMap<String, usize> = HashMap::new();

    for line in reader.lines() {
        let line = line.expect("Failed to read line");
        for word in line.split_whitespace() {
            *word_count.entry(word.to_string()).or_insert(0) += 1;
        }
    }

    // Convert HashMap to a JSON-like string
    let mut json_output = String::from("{");
    for (i, (word, count)) in word_count.iter().enumerate() {
        if i > 0 {
            json_output.push_str(", ");
        }
        json_output.push_str(&format!("\"{}\": {}", word, count));
    }
    json_output.push('}');

    println!("{}", json_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() {
    let file = File::open("/tmp/file.txt").expect("Failed to open file");
    let reader = BufReader::new(file);

    let mut word_count: HashMap<String, usize> = HashMap::new();

    for line in reader.lines() {
        let line = line.expect("Failed to read line");
        for word in line.split_whitespace() {
            *word_count.entry(word.to_string()).or_insert(0) += 1;
        }
    }

    // Convert HashMap to a JSON-like string
    let mut json_output = String::from("{");
    for (i, (word, count)) in word_count.iter().enumerate() {
        if i > 0 {
            json_output.push_str(", ");
        }
        json_output.push_str(&format!("\"{}\": {}", word, count));
    }
    json_output.push('}');

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

Extract Json

I extracted the following JSON from that output: 

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

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