Docker Setup

I have setup the docker container to run the model evaluation.

Initial Query

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

LLM Generation

Query

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

Output

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_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<String, u32> = 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 Vec of tuples for JSON serialization
    let mut word_count_vec: Vec<(String, u32)> = word_count.into_iter().collect();
    word_count_vec.sort_by(|a, b| a.0.cmp(&b.0));

    // Manually construct JSON string
    let mut json_output = String::from("{");
    for (i, (word, count)) in word_count_vec.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 and splits each line into words. 3. It counts the occurrences of each word using a `HashMap`. 4. It sorts the words alphabetically. 5. It constructs a JSON string manually from the sorted word count data. 6. 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 with `./word_count`. This program doesn't use any external crates, so it can be compiled directly with `rustc` without needing a `Cargo.toml` file. Note that this program treats words case-sensitively and includes punctuation as part of words. If you need case-insensitive counting or punctuation removal, you'll need to modify the word processing part of the code.

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<String, u32> = 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 Vec of tuples for JSON serialization
    let mut word_count_vec: Vec<(String, u32)> = word_count.into_iter().collect();
    word_count_vec.sort_by(|a, b| a.0.cmp(&b.0));

    // Manually construct JSON string
    let mut json_output = String::from("{");
    for (i, (word, count)) in word_count_vec.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_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<String, u32> = 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 Vec of tuples for JSON serialization
    let mut word_count_vec: Vec<(String, u32)> = word_count.into_iter().collect();
    word_count_vec.sort_by(|a, b| a.0.cmp(&b.0));

    // Manually construct JSON string
    let mut json_output = String::from("{");
    for (i, (word, count)) in word_count_vec.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: {"Darkness,": 1, "Heaven,": 1, "Light,": 1, "age": 2, "all": 2, "before": 2, "belief,": 1, "best": 1, "despair,": 1, "direct": 2, "epoch": 2, "everything": 1, "foolishness,": 1, "going": 2, "had": 2, "hope,": 1, "incredulity,": 1, "it": 10, "nothing": 1, "of": 10, "other": 1, "season": 2, "spring": 1, "the": 11, "times,": 2, "to": 1, "us,": 2, "was": 10, "way": 1, "we": 4, "were": 2, "winter": 1, "wisdom,": 1, "worst": 1}

Extract Json

I extracted the following JSON from that output: 

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

LLM Generation

Query

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

Output

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_path = "/tmp/file.txt";
    let mut word_count = HashMap::new();

    // Read the file
    let file = match File::open(file_path) {
        Ok(file) => file,
        Err(e) => {
            eprintln!("Error opening file: {}", e);
            return;
        }
    };

    let reader = BufReader::new(file);

    // Count words
    for line in reader.lines() {
        let line = match line {
            Ok(line) => line,
            Err(e) => {
                eprintln!("Error reading line: {}", e);
                continue;
            }
        };

        for word in line.split_whitespace() {
            *word_count.entry(word.to_string()).or_insert(0) += 1;
        }
    }

    // Create JSON output
    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_str("}");

    // Print JSON output
    println!("{}", json_output);
}
This program does the following: 1. It uses the standard library's `HashMap` to store word counts, and `File` and `BufReader` for file I/O. 2. The file path is hardcoded as "/tmp/file.txt". 3. It opens the file and reads it line by line. 4. For each line, it splits the line into words and counts their occurrences in the `HashMap`. 5. After counting all words, it constructs a JSON-formatted string manually. 6. Finally, it prints the JSON output 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 with `./word_count`. This program will work with the standard Rust installation and doesn't require any external crates or a Cargo.toml file. It will read the file at "/tmp/file.txt" and output the word count in JSON format to stdout. Note that this simple JSON formatting doesn't escape special characters in the words, so if your input contains words with quotation marks or other JSON special characters, you might need a more robust JSON serialization method.

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 mut word_count = HashMap::new();

    // Read the file
    let file = match File::open(file_path) {
        Ok(file) => file,
        Err(e) => {
            eprintln!("Error opening file: {}", e);
            return;
        }
    };

    let reader = BufReader::new(file);

    // Count words
    for line in reader.lines() {
        let line = match line {
            Ok(line) => line,
            Err(e) => {
                eprintln!("Error reading line: {}", e);
                continue;
            }
        };

        for word in line.split_whitespace() {
            *word_count.entry(word.to_string()).or_insert(0) += 1;
        }
    }

    // Create JSON output
    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_str("}");

    // Print JSON output
    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_path = "/tmp/file.txt";
    let mut word_count = HashMap::new();

    // Read the file
    let file = match File::open(file_path) {
        Ok(file) => file,
        Err(e) => {
            eprintln!("Error opening file: {}", e);
            return;
        }
    };

    let reader = BufReader::new(file);

    // Count words
    for line in reader.lines() {
        let line = match line {
            Ok(line) => line,
            Err(e) => {
                eprintln!("Error reading line: {}", e);
                continue;
            }
        };

        for word in line.split_whitespace() {
            *word_count.entry(word.to_string()).or_insert(0) += 1;
        }
    }

    // Create JSON output
    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_str("}");

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

Extract Json

I extracted the following JSON from that output: 

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

LLM Generation

Query

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

Output

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

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

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

    // Create a HashMap to store word counts
    let mut word_counts: HashMap<String, u32> = HashMap::new();

    // Read the file line by line
    for line in reader.lines() {
        if let Ok(line) = line {
            // Split the line into words
            for word in line.split_whitespace() {
                // Remove any punctuation from the end of the word
                let clean_word = word.trim_end_matches(|c: char| !c.is_alphanumeric());
                
                // Increment the count for this word
                *word_counts.entry(clean_word.to_string()).or_insert(0) += 1;
            }
        }
    }

    // Prepare the 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!("\"{}\": {}", word, count));
    }
    json_output.push('}');

    // Print the JSON output
    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. 4. It cleans each word by removing any punctuation at the end. 5. It counts the occurrences of each word using a `HashMap`. 6. Finally, it constructs a JSON-like string representation of the word counts and prints it 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 will work with the standard Rust library and doesn't require any external crates. It should compile with just `rustc` and doesn't need a `Cargo.toml` file. Note that this program produces a JSON-like output. It's not using a JSON library for serialization, so it might not handle all edge cases perfectly (like escaping special characters in words). For a more robust JSON output, you'd typically use a crate like `serde_json`, but that would require a `Cargo.toml` file.

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

    // Create a HashMap to store word counts
    let mut word_counts: HashMap<String, u32> = HashMap::new();

    // Read the file line by line
    for line in reader.lines() {
        if let Ok(line) = line {
            // Split the line into words
            for word in line.split_whitespace() {
                // Remove any punctuation from the end of the word
                let clean_word = word.trim_end_matches(|c: char| !c.is_alphanumeric());
                
                // Increment the count for this word
                *word_counts.entry(clean_word.to_string()).or_insert(0) += 1;
            }
        }
    }

    // Prepare the 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!("\"{}\": {}", word, count));
    }
    json_output.push('}');

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

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

    // Create a HashMap to store word counts
    let mut word_counts: HashMap<String, u32> = HashMap::new();

    // Read the file line by line
    for line in reader.lines() {
        if let Ok(line) = line {
            // Split the line into words
            for word in line.split_whitespace() {
                // Remove any punctuation from the end of the word
                let clean_word = word.trim_end_matches(|c: char| !c.is_alphanumeric());
                
                // Increment the count for this word
                *word_counts.entry(clean_word.to_string()).or_insert(0) += 1;
            }
        }
    }

    // Prepare the 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!("\"{}\": {}", word, count));
    }
    json_output.push('}');

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

Extract Json

I extracted the following JSON from that output: 

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

Docker Setup

I have setup the docker container to run the model evaluation.

Initial Query

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

LLM Generation

Query

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

Output

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_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<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;
        }
    }

    let json_output = format_json(&word_count);
    println!("{}", json_output);
}

fn format_json(word_count: &HashMap<String, usize>) -> String {
    let mut json = String::from("{");
    let mut first = true;

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

    json.push('}');
    json
}
This program does the following: 1. It uses the standard library modules `std::collections::HashMap`, `std::fs::File`, and `std::io::{BufRead, BufReader}`. 2. The `main` function opens the file at `/tmp/file.txt`, reads it line by line, and counts the occurrences of each word using a `HashMap`. 3. The `format_json` function takes the `HashMap` of word counts and formats it as a JSON string. 4. Finally, the program prints the JSON output 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 with `./word_count`. This program will read the content of `/tmp/file.txt`, count the occurrences of each word, and print the result as a JSON string to stdout. It doesn't require any external crates or a Cargo.toml file, and can be compiled directly with `rustc`. Note that this simple implementation considers words separated by whitespace and doesn't handle punctuation or case sensitivity. If you need more advanced text processing, you might want to consider using regular expressions or more sophisticated tokenization methods.

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<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;
        }
    }

    let json_output = format_json(&word_count);
    println!("{}", json_output);
}

fn format_json(word_count: &HashMap<String, usize>) -> String {
    let mut json = String::from("{");
    let mut first = true;

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

    json.push('}');
    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_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;
        }
    }

    let json_output = format_json(&word_count);
    println!("{}", json_output);
}

fn format_json(word_count: &HashMap<String, usize>) -> String {
    let mut json = String::from("{");
    let mut first = true;

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

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

Extract Json

I extracted the following JSON from that output: 

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

LLM Generation

Query

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

Output

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_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<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;
        }
    }

    let json_output = format_json(&word_count);
    println!("{}", json_output);
}

fn format_json(word_count: &HashMap<String, usize>) -> String {
    let mut json = String::from("{");
    let mut first = true;

    for (word, count) in word_count.iter() {
        if !first {
            json.push_str(", ");
        }
        json.push_str(&format!("\"{}\": {}", escape_json(word), count));
        first = false;
    }

    json.push('}');
    json
}

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 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 formats the word count data into a JSON-like string. 5. Finally, it prints the JSON output to stdout. The program uses only standard library components and doesn't require any external crates. You can compile it with `rustc yourfile.rs` and run it without any arguments. Note that this implementation: - Treats words separated by whitespace as distinct words. - Is case-sensitive (e.g., "The" and "the" are treated as different words). - Includes punctuation as part of words (e.g., "is" and "is," are treated as different words). - Provides basic JSON escaping for special characters in words. If you need more sophisticated word parsing or JSON handling, you might need to use external crates or implement more complex 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_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<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;
        }
    }

    let json_output = format_json(&word_count);
    println!("{}", json_output);
}

fn format_json(word_count: &HashMap<String, usize>) -> String {
    let mut json = String::from("{");
    let mut first = true;

    for (word, count) in word_count.iter() {
        if !first {
            json.push_str(", ");
        }
        json.push_str(&format!("\"{}\": {}", escape_json(word), count));
        first = false;
    }

    json.push('}');
    json
}

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_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<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;
        }
    }

    let json_output = format_json(&word_count);
    println!("{}", json_output);
}

fn format_json(word_count: &HashMap<String, usize>) -> String {
    let mut json = String::from("{");
    let mut first = true;

    for (word, count) in word_count.iter() {
        if !first {
            json.push_str(", ");
        }
        json.push_str(&format!("\"{}\": {}", escape_json(word), count));
        first = false;
    }

    json.push('}');
    json
}

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

Extract Json

I extracted the following JSON from that output: 

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