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 counts the occurrences of each word in a text file located at "/tmp/file.txt" and prints the result as JSON output to stdout: 

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

fn main() {
    let file_path = "/tmp/file.txt";
    let file = File::open(file_path).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 {
            let words = line.split_whitespace();
            for word in words {
                *word_count.entry(word.to_string()).or_insert(0) += 1;
            }
        }
    }

    print_json(&word_count);
}

fn print_json(word_count: &HashMap<String, u32>) {
    print!("{{");
    let mut is_first = true;
    for (word, count) in word_count {
        if !is_first {
            print!(", ");
        }
        print!("\"{}\": {}", word, count);
        is_first = false;
    }
    println!("}}");
}
To compile and run the program: 1. Save the code in a file named `rust_word_count.rs`. 2. Open a terminal and navigate to the directory containing the `rust_word_count.rs` file. 3. Compile the program using the following command: 
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   rustc rust_word_count.rs
4. Make sure the text file you want to analyze is located at "/tmp/file.txt". 5. Run the compiled program with the following command: 
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   ./rust_word_count
The program will read the text file, count the occurrences of each word, and print the result as JSON output to stdout. Note: This program assumes that the text file is located at "/tmp/file.txt". If the file is located elsewhere or has a different name, you need to modify the `file_path` variable accordingly. The program uses a `HashMap` to store the word counts, where the keys are the words and the values are the counts. It reads the file line by line, splits each line into words, and updates the count for each word in the `HashMap`. Finally, the `print_json` function is used to print the `HashMap` as JSON output to stdout. It iterates over the key-value pairs in the `HashMap` and prints them in the JSON format.

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_path = "/tmp/file.txt";
    let file = File::open(file_path).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 {
            let words = line.split_whitespace();
            for word in words {
                *word_count.entry(word.to_string()).or_insert(0) += 1;
            }
        }
    }

    print_json(&word_count);
}

fn print_json(word_count: &HashMap<String, u32>) {
    print!("{{");
    let mut is_first = true;
    for (word, count) in word_count {
        if !is_first {
            print!(", ");
        }
        print!("\"{}\": {}", word, count);
        is_first = false;
    }
    println!("}}");
}

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_path = "/tmp/file.txt";
    let file = File::open(file_path).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 {
            let words = line.split_whitespace();
            for word in words {
                *word_count.entry(word.to_string()).or_insert(0) += 1;
            }
        }
    }

    print_json(&word_count);
}

fn print_json(word_count: &HashMap<String, u32>) {
    print!("{{");
    let mut is_first = true;
    for (word, count) in word_count {
        if !is_first {
            print!(", ");
        }
        print!("\"{}\": {}", word, count);
        is_first = false;
    }
    println!("}}");
}
And got the output: {"had": 2, "us,": 2, "were": 2, "everything": 1, "age": 2, "hope,": 1, "times,": 2, "winter": 1, "despair,": 1, "was": 10, "foolishness,": 1, "season": 2, "all": 2, "best": 1, "wisdom,": 1, "before": 2, "incredulity,": 1, "epoch": 2, "nothing": 1, "Heaven,": 1, "to": 1, "Light,": 1, "way": 1, "worst": 1, "other": 1, "the": 11, "it": 10, "of": 10, "Darkness,": 1, "spring": 1, "we": 4, "going": 2, "direct": 2, "belief,": 1}

Extract Json

I extracted the following JSON from that output: 

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{"had": 2, "us,": 2, "were": 2, "everything": 1, "age": 2, "hope,": 1, "times,": 2, "winter": 1, "despair,": 1, "was": 10, "foolishness,": 1, "season": 2, "all": 2, "best": 1, "wisdom,": 1, "before": 2, "incredulity,": 1, "epoch": 2, "nothing": 1, "Heaven,": 1, "to": 1, "Light,": 1, "way": 1, "worst": 1, "other": 1, "the": 11, "it": 10, "of": 10, "Darkness,": 1, "spring": 1, "we": 4, "going": 2, "direct": 2, "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 prints a JSON output of word frequencies from a text file located at `/tmp/file.txt`: 

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

fn main() {
    let file_path = "/tmp/file.txt";
    let file = File::open(file_path).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");
        let words = line.split_whitespace();

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

    print_json_output(&word_counts);
}

fn print_json_output(word_counts: &HashMap<String, u32>) {
    println!("{{");

    let mut iter = word_counts.iter();

    if let Some((word, count)) = iter.next() {
        print!("  \"{}\": {}", escape_string(word), count);
    }

    for (word, count) in iter {
        print!(",\n  \"{}\": {}", escape_string(word), count);
    }

    println!("\n}}");
}

fn escape_string(s: &str) -> String {
    s.replace('\\', "\\\\").replace('"', "\\\"")
}
Here's how the program works: 1. We use `std::fs::File` and `std::io::BufReader` to open and read the file at `/tmp/file.txt`. 2. We create a `HashMap` called `word_counts` to store the word frequencies. 3. We iterate over each line in the file using `reader.lines()`. 4. For each line, we split it into words using `split_whitespace()` and iterate over each word. 5. We update the count for each word in the `word_counts` HashMap using the `entry` and `or_insert` methods. 6. After processing all the words, we call the `print_json_output` function to print the JSON output. 7. In the `print_json_output` function, we iterate over the `word_counts` HashMap and print each word and its count in JSON format. 8. We handle escaping special characters (backslash and double quote) in the `escape_string` function to ensure valid JSON output. 9. Finally, we print the closing curly brace to complete the JSON object. To compile and run the program, save the code in a file named `rust_word_count.rs` and use the following commands: 
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rustc rust_word_count.rs
./rust_word_count
Make sure the text file `/tmp/file.txt` exists with the desired content before running the program. Note: This program assumes that the words in the file are separated by whitespace. If you need to handle more complex word separators or punctuation, you may need to modify the word splitting logic accordingly.

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_path = "/tmp/file.txt";
    let file = File::open(file_path).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");
        let words = line.split_whitespace();

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

    print_json_output(&word_counts);
}

fn print_json_output(word_counts: &HashMap<String, u32>) {
    println!("{{");

    let mut iter = word_counts.iter();

    if let Some((word, count)) = iter.next() {
        print!("  \"{}\": {}", escape_string(word), count);
    }

    for (word, count) in iter {
        print!(",\n  \"{}\": {}", escape_string(word), count);
    }

    println!("\n}}");
}

fn escape_string(s: &str) -> String {
    s.replace('\\', "\\\\").replace('"', "\\\"")
}

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_path = "/tmp/file.txt";
    let file = File::open(file_path).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");
        let words = line.split_whitespace();

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

    print_json_output(&word_counts);
}

fn print_json_output(word_counts: &HashMap<String, u32>) {
    println!("{{");

    let mut iter = word_counts.iter();

    if let Some((word, count)) = iter.next() {
        print!("  \"{}\": {}", escape_string(word), count);
    }

    for (word, count) in iter {
        print!(",\n  \"{}\": {}", escape_string(word), count);
    }

    println!("\n}}");
}

fn escape_string(s: &str) -> String {
    s.replace('\\', "\\\\").replace('"', "\\\"")
}
And got the output: { "going": 2, "the": 11, "Darkness,": 1, "was": 10, "spring": 1, "times,": 2, "everything": 1, "despair,": 1, "direct": 2, "nothing": 1, "other": 1, "of": 10, "had": 2, "Light,": 1, "foolishness,": 1, "worst": 1, "hope,": 1, "way": 1, "belief,": 1, "all": 2, "us,": 2, "before": 2, "incredulity,": 1, "best": 1, "epoch": 2, "were": 2, "winter": 1, "season": 2, "we": 4, "it": 10, "to": 1, "Heaven,": 1, "age": 2, "wisdom,": 1 }

Extract Json

I extracted the following JSON from that output: 

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

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 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: 

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

fn main() {
    let file_path = "/tmp/file.txt";
    let file = File::open(file_path).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");
        let words = line.split_whitespace();

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

    print_json(&word_counts);
}

fn print_json(word_counts: &HashMap<String, u32>) {
    print!("{{");
    let mut iter = word_counts.iter();
    if let Some((word, count)) = iter.next() {
        print!("\"{}\": {}", word, count);
    }
    for (word, count) in iter {
        print!(", \"{}\": {}", word, count);
    }
    println!("}}");
}
To compile and run the program, save the code in a file with a ".rs" extension (e.g., "rust_word_count.rs"), and then use the following commands: 
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rustc rust_word_count.rs
./rust_word_count
The program does the following: 1. It opens the file located at "/tmp/file.txt" using `File::open()` and creates a `BufReader` to read the file line by line. 2. It initializes an empty `HashMap` called `word_counts` to store the word frequencies. 3. It reads the file line by line using the `lines()` method on the `BufReader`. For each line, it splits the line into words using `split_whitespace()`. 4. For each word, it updates the count in the `word_counts` HashMap using the `entry()` method. If the word doesn't exist in the HashMap, it inserts a new entry with a count of 1. If the word already exists, it increments the count by 1. 5. After processing all the lines, it calls the `print_json()` function to print the word frequencies as a JSON object to stdout. 6. The `print_json()` function takes the `word_counts` HashMap as input and prints the JSON object manually. It iterates over the key-value pairs in the HashMap, printing each word and its count in the JSON format. Note: This program assumes that the words in the file are separated by whitespace characters (space, tab, newline). It treats each word as a separate entry in the HashMap, so punctuation marks attached to words (e.g., "is,") will be considered as part of the word.

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_path = "/tmp/file.txt";
    let file = File::open(file_path).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");
        let words = line.split_whitespace();

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

    print_json(&word_counts);
}

fn print_json(word_counts: &HashMap<String, u32>) {
    print!("{{");
    let mut iter = word_counts.iter();
    if let Some((word, count)) = iter.next() {
        print!("\"{}\": {}", word, count);
    }
    for (word, count) in iter {
        print!(", \"{}\": {}", word, count);
    }
    println!("}}");
}

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_path = "/tmp/file.txt";
    let file = File::open(file_path).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");
        let words = line.split_whitespace();

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

    print_json(&word_counts);
}

fn print_json(word_counts: &HashMap<String, u32>) {
    print!("{{");
    let mut iter = word_counts.iter();
    if let Some((word, count)) = iter.next() {
        print!("\"{}\": {}", word, count);
    }
    for (word, count) in iter {
        print!(", \"{}\": {}", word, count);
    }
    println!("}}");
}
And got the output: {"spring": 1, "epoch": 2, "season": 2, "had": 2, "hope,": 1, "us,": 2, "going": 2, "age": 2, "direct": 2, "Heaven,": 1, "times,": 2, "all": 2, "foolishness,": 1, "Light,": 1, "were": 2, "the": 11, "other": 1, "best": 1, "way": 1, "belief,": 1, "winter": 1, "incredulity,": 1, "everything": 1, "we": 4, "was": 10, "it": 10, "Darkness,": 1, "worst": 1, "before": 2, "nothing": 1, "of": 10, "to": 1, "wisdom,": 1, "despair,": 1}

Extract Json

I extracted the following JSON from that output: 

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

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

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

    let mut word_counts: HashMap<String, u32> = HashMap::new();

    for line in reader.lines() {
        if let Ok(line) = line {
            let words: Vec<&str> = line.split_whitespace().collect();
            for word in words {
                *word_counts.entry(word.to_string()).or_insert(0) += 1;
            }
        }
    }

    print_json(&word_counts);
}

fn print_json(word_counts: &HashMap<String, u32>) {
    let mut json = String::from("{");

    let mut iter = word_counts.iter();
    if let Some((word, count)) = iter.next() {
        json.push_str(&format!("\"{}\": {}", word, count));
    }

    for (word, count) in iter {
        json.push_str(&format!(", \"{}\": {}", word, count));
    }

    json.push('}');

    println!("{}", json);
}
To compile and run the program, save the code in a file named `rust_word_count.rs` and use the following commands: 
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rustc rust_word_count.rs
./rust_word_count
Explanation: 1. The program starts by opening the file at `/tmp/file.txt` using `File::open()` and creates a `BufReader` to read the file line by line. 2. It initializes an empty `HashMap` called `word_counts` to store the word counts. 3. The program iterates over each line in the file using `reader.lines()`. For each line, it splits the line into words using `split_whitespace()` and collects them into a vector. 4. For each word in the vector, the program updates the count in the `word_counts` HashMap. It uses the `entry()` method to either get the existing count or insert a new entry with a count of 0, and then increments the count using `+=`. 5. After processing all the words, the program calls the `print_json()` function to generate the JSON output. 6. The `print_json()` function takes the `word_counts` HashMap as input and constructs the JSON string manually. 7. It starts with an opening curly brace `{` and uses an iterator to handle the first word-count pair separately to avoid adding a trailing comma. 8. For the remaining word-count pairs, it iterates over them and appends them to the JSON string with a leading comma. 9. Finally, it adds the closing curly brace `}` and prints the JSON string to stdout using `println!()`. Note: This program assumes that the file at `/tmp/file.txt` exists and is readable. If the file doesn't exist or cannot be read, the program will panic with an error message.

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

    let mut word_counts: HashMap<String, u32> = HashMap::new();

    for line in reader.lines() {
        if let Ok(line) = line {
            let words: Vec<&str> = line.split_whitespace().collect();
            for word in words {
                *word_counts.entry(word.to_string()).or_insert(0) += 1;
            }
        }
    }

    print_json(&word_counts);
}

fn print_json(word_counts: &HashMap<String, u32>) {
    let mut json = String::from("{");

    let mut iter = word_counts.iter();
    if let Some((word, count)) = iter.next() {
        json.push_str(&format!("\"{}\": {}", word, count));
    }

    for (word, count) in iter {
        json.push_str(&format!(", \"{}\": {}", word, count));
    }

    json.push('}');

    println!("{}", json);
}

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

    let mut word_counts: HashMap<String, u32> = HashMap::new();

    for line in reader.lines() {
        if let Ok(line) = line {
            let words: Vec<&str> = line.split_whitespace().collect();
            for word in words {
                *word_counts.entry(word.to_string()).or_insert(0) += 1;
            }
        }
    }

    print_json(&word_counts);
}

fn print_json(word_counts: &HashMap<String, u32>) {
    let mut json = String::from("{");

    let mut iter = word_counts.iter();
    if let Some((word, count)) = iter.next() {
        json.push_str(&format!("\"{}\": {}", word, count));
    }

    for (word, count) in iter {
        json.push_str(&format!(", \"{}\": {}", word, count));
    }

    json.push('}');

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

Extract Json

I extracted the following JSON from that output: 

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

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 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: 

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

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

    let mut word_counts = HashMap::new();

    for line in reader.lines() {
        let line = line.expect("Unable to read line");
        let words = line.split_whitespace();

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

    print_json(&word_counts);
}

fn print_json(word_counts: &HashMap<String, i32>) {
    print!("{{");
    let mut first = true;
    for (word, count) in word_counts {
        if !first {
            print!(",");
        }
        print!("\"{}\":{}", word, count);
        first = false;
    }
    println!("}}");
}
To compile and run the program: 1. Save the code to a file named `rust_word_count.rs`. 2. Open a terminal and navigate to the directory where you saved the file. 3. Compile the program using the following command: 
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   rustc rust_word_count.rs
4. Run the program using the following command: 
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   ./rust_word_count
The program will read the text file located at `/tmp/file.txt`, count the occurrences of each word, and print the result as a JSON object to stdout. Note: Make sure the file `/tmp/file.txt` exists and contains the text you want to process before running the program. The program uses a `HashMap` to store the word counts. It reads the file line by line, splits each line into words using `split_whitespace()`, and increments the count for each word in the `HashMap`. Finally, it calls the `print_json()` function to print the word counts as a JSON object to stdout. The `print_json()` function manually constructs the JSON object by iterating over the `HashMap` entries and printing the key-value pairs in the required format.

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

    let mut word_counts = HashMap::new();

    for line in reader.lines() {
        let line = line.expect("Unable to read line");
        let words = line.split_whitespace();

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

    print_json(&word_counts);
}

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

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

    let mut word_counts = HashMap::new();

    for line in reader.lines() {
        let line = line.expect("Unable to read line");
        let words = line.split_whitespace();

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

    print_json(&word_counts);
}

fn print_json(word_counts: &HashMap<String, i32>) {
    print!("{{");
    let mut first = true;
    for (word, count) in word_counts {
        if !first {
            print!(",");
        }
        print!("\"{}\":{}", word, count);
        first = false;
    }
    println!("}}");
}
And got the output: {"despair,":1,"best":1,"we":4,"worst":1,"spring":1,"winter":1,"were":2,"incredulity,":1,"Light,":1,"before":2,"epoch":2,"age":2,"direct":2,"foolishness,":1,"Darkness,":1,"to":1,"of":10,"the":11,"times,":2,"all":2,"Heaven,":1,"had":2,"wisdom,":1,"it":10,"nothing":1,"going":2,"was":10,"everything":1,"way":1,"us,":2,"other":1,"belief,":1,"season":2,"hope,":1}

Extract Json

I extracted the following JSON from that output: 

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