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

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use std::collections::HashMap;
use std::fs::File;
use std::io::prelude::*;

fn main() {
    let mut contents = String::new();
    File::open("/tmp/file.txt")
        .expect("Error opening file")
        .read_to_string(&mut contents)
        .expect("Error reading file");

    let mut word_counts: HashMap<String, u32> = HashMap::new();
    for word in contents.split_whitespace() {
        let word = word.trim_matches(|c: char| !c.is_ascii_alphabetic() || c == ',');
        if word.is_empty() {
            continue;
        }
        let count = word_counts.entry(word).or_insert(0);
        *count += 1;
    }

    println!("{{");
    for (word, count) in word_counts.iter() {
        println!("\t\"{}\": {},", word, count);
    }
    println!("}}");
}

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::prelude::*;

fn main() {
    let mut contents = String::new();
    File::open("/tmp/file.txt")
        .expect("Error opening file")
        .read_to_string(&mut contents)
        .expect("Error reading file");

    let mut word_counts: HashMap<String, u32> = HashMap::new();
    for word in contents.split_whitespace() {
        let word = word.trim_matches(|c: char| !c.is_ascii_alphabetic() || c == ',');
        if word.is_empty() {
            continue;
        }
        let count = word_counts.entry(word).or_insert(0);
        *count += 1;
    }

    println!("{{");
    for (word, count) in word_counts.iter() {
        println!("\t\"{}\": {},", word, count);
    }
    println!("}}");
}

Run Code Interpreter

Running the following program:

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use std::collections::HashMap;
use std::fs::File;
use std::io::prelude::*;

fn main() {
    let mut contents = String::new();
    File::open("/tmp/file.txt")
        .expect("Error opening file")
        .read_to_string(&mut contents)
        .expect("Error reading file");

    let mut word_counts: HashMap<String, u32> = HashMap::new();
    for word in contents.split_whitespace() {
        let word = word.trim_matches(|c: char| !c.is_ascii_alphabetic() || c == ',');
        if word.is_empty() {
            continue;
        }
        let count = word_counts.entry(word).or_insert(0);
        *count += 1;
    }

    println!("{{");
    for (word, count) in word_counts.iter() {
        println!("\t\"{}\": {},", word, count);
    }
    println!("}}");
}
And got the output: error[E0308]: mismatched types --> main.rs:19:39 | 19 | let count = word_counts.entry(word).or_insert(0); | ----- ^^^^- help: try using a conversion method: `.to_string()` | | | | | expected `String`, found `&str` | arguments to this method are incorrect | help: the return type of this call is `&str` due to the type of the argument passed --> main.rs:19:21 | 19 | let count = word_counts.entry(word).or_insert(0); | ^^^^^^^^^^^^^^^^^^----^ | | | this argument influences the return type of `entry` note: method defined here --> /rustc/07dca489ac2d933c78d3c5158e3f43beefeb02ce/library/std/src/collections/hash/map.rs:852:12 error: aborting due to 1 previous error For more information about this error, try `rustc --explain E0308`. main.sh: line 2: ./a.out: No such file or directory

Extract Json

I extracted the following JSON from that output:

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{
  "Rust": {
    "count": 1
  },
  "Python": {
    "count": 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 }: 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 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

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use std::collections::HashMap;
use std::fs;
use std::io::{self, Write};

fn main() {
    let path = "/tmp/file.txt";
    let contents = fs::read_to_string(path).unwrap();

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

    for word in contents.split_whitespace() {
        let word = word.to_lowercase();
        *word_counts.entry(word).or_insert(0) += 1;
    }

    let mut json = String::new();
    json.push('{');
    for (word, count) in word_counts {
        json.push_str(&format!("\"{}\": {},", word, count));
    }
    json.pop(); // Remove the trailing comma
    json.push('}');

    io::stdout().write(json.as_bytes()).unwrap();
}

Extract Code

I extracted the following code from that output:

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use std::collections::HashMap;
use std::fs;
use std::io::{self, Write};

fn main() {
    let path = "/tmp/file.txt";
    let contents = fs::read_to_string(path).unwrap();

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

    for word in contents.split_whitespace() {
        let word = word.to_lowercase();
        *word_counts.entry(word).or_insert(0) += 1;
    }

    let mut json = String::new();
    json.push('{');
    for (word, count) in word_counts {
        json.push_str(&format!("\"{}\": {},", word, count));
    }
    json.pop(); // Remove the trailing comma
    json.push('}');

    io::stdout().write(json.as_bytes()).unwrap();
}

Run Code Interpreter

Running the following program:

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use std::collections::HashMap;
use std::fs;
use std::io::{self, Write};

fn main() {
    let path = "/tmp/file.txt";
    let contents = fs::read_to_string(path).unwrap();

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

    for word in contents.split_whitespace() {
        let word = word.to_lowercase();
        *word_counts.entry(word).or_insert(0) += 1;
    }

    let mut json = String::new();
    json.push('{');
    for (word, count) in word_counts {
        json.push_str(&format!("\"{}\": {},", word, count));
    }
    json.pop(); // Remove the trailing comma
    json.push('}');

    io::stdout().write(json.as_bytes()).unwrap();
}
And got the output: {"incredulity,": 1,"winter": 1,"despair,": 1,"wisdom,": 1,"hope,": 1,"way": 1,"before": 2,"spring": 1,"age": 2,"belief,": 1,"we": 4,"direct": 2,"all": 2,"to": 1,"other": 1,"had": 2,"nothing": 1,"going": 2,"was": 10,"of": 10,"it": 10,"worst": 1,"epoch": 2,"heaven,": 1,"times,": 2,"darkness,": 1,"were": 2,"the": 11,"foolishness,": 1,"best": 1,"season": 2,"light,": 1,"everything": 1,"us,": 2}

Extract Json

I extracted the following JSON from that output:

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

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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").unwrap();
    let reader = BufReader::new(file);
    let mut words: HashMap<String, i32> = HashMap::new();
    for line in reader.lines() {
        for word in line.unwrap().split_whitespace() {
            *words.entry(word.to_string()).or_insert(0) += 1;
        }
    }
    // print json output
    print!("{{");
    for (word, count) in words {
        print!("\"{}\":{},", word, count);
    }
    println!("}}");
}

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").unwrap();
    let reader = BufReader::new(file);
    let mut words: HashMap<String, i32> = HashMap::new();
    for line in reader.lines() {
        for word in line.unwrap().split_whitespace() {
            *words.entry(word.to_string()).or_insert(0) += 1;
        }
    }
    // print json output
    print!("{{");
    for (word, count) in words {
        print!("\"{}\":{},", word, count);
    }
    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 = File::open("/tmp/file.txt").unwrap();
    let reader = BufReader::new(file);
    let mut words: HashMap<String, i32> = HashMap::new();
    for line in reader.lines() {
        for word in line.unwrap().split_whitespace() {
            *words.entry(word.to_string()).or_insert(0) += 1;
        }
    }
    // print json output
    print!("{{");
    for (word, count) in words {
        print!("\"{}\":{},", word, count);
    }
    println!("}}");
}
And got the output: {"us,":2,"nothing":1,"best":1,"incredulity,":1,"of":10,"the":11,"season":2,"it":10,"despair,":1,"winter":1,"age":2,"Light,":1,"were":2,"going":2,"other":1,"everything":1,"Heaven,":1,"wisdom,":1,"direct":2,"all":2,"epoch":2,"was":10,"spring":1,"Darkness,":1,"times,":2,"belief,":1,"hope,":1,"before":2,"had":2,"to":1,"worst":1,"we":4,"way":1,"foolishness,":1,}

Extract Json

I extracted the following JSON from that output:

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

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use std::collections::HashMap;
use std::fs;
use std::io::{self, Write};

fn main() {
    // Read the text file
    let text = fs::read_to_string("/tmp/file.txt").expect("Could not read file");

    // Split the text into words
    let words: Vec<&str> = text.split_whitespace().collect();

    // Count the occurrences of each word
    let mut word_counts: HashMap<&str, usize> = HashMap::new();
    for word in words {
        let count = word_counts.entry(word).or_insert(0);
        *count += 1;
    }

    // Print the JSON output
    let mut output = String::new();
    output.push('{');
    for (word, count) in word_counts {
        output.push_str(format!("\"{}\": {},", word, count).as_str());
    }
    output.pop(); // Remove the trailing comma
    output.push('}');

    io::stdout().write_all(output.as_bytes()).expect("Could not write to stdout");
}

Extract Code

I extracted the following code from that output:

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use std::collections::HashMap;
use std::fs;
use std::io::{self, Write};

fn main() {
    // Read the text file
    let text = fs::read_to_string("/tmp/file.txt").expect("Could not read file");

    // Split the text into words
    let words: Vec<&str> = text.split_whitespace().collect();

    // Count the occurrences of each word
    let mut word_counts: HashMap<&str, usize> = HashMap::new();
    for word in words {
        let count = word_counts.entry(word).or_insert(0);
        *count += 1;
    }

    // Print the JSON output
    let mut output = String::new();
    output.push('{');
    for (word, count) in word_counts {
        output.push_str(format!("\"{}\": {},", word, count).as_str());
    }
    output.pop(); // Remove the trailing comma
    output.push('}');

    io::stdout().write_all(output.as_bytes()).expect("Could not write to stdout");
}

Run Code Interpreter

Running the following program:

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use std::collections::HashMap;
use std::fs;
use std::io::{self, Write};

fn main() {
    // Read the text file
    let text = fs::read_to_string("/tmp/file.txt").expect("Could not read file");

    // Split the text into words
    let words: Vec<&str> = text.split_whitespace().collect();

    // Count the occurrences of each word
    let mut word_counts: HashMap<&str, usize> = HashMap::new();
    for word in words {
        let count = word_counts.entry(word).or_insert(0);
        *count += 1;
    }

    // Print the JSON output
    let mut output = String::new();
    output.push('{');
    for (word, count) in word_counts {
        output.push_str(format!("\"{}\": {},", word, count).as_str());
    }
    output.pop(); // Remove the trailing comma
    output.push('}');

    io::stdout().write_all(output.as_bytes()).expect("Could not write to stdout");
}
And got the output: {"foolishness,": 1,"winter": 1,"Light,": 1,"epoch": 2,"the": 11,"Heaven,": 1,"worst": 1,"times,": 2,"Darkness,": 1,"we": 4,"wisdom,": 1,"had": 2,"spring": 1,"belief,": 1,"season": 2,"best": 1,"despair,": 1,"it": 10,"nothing": 1,"were": 2,"us,": 2,"way": 1,"incredulity,": 1,"everything": 1,"was": 10,"hope,": 1,"direct": 2,"age": 2,"to": 1,"going": 2,"all": 2,"other": 1,"before": 2,"of": 10}

Extract Json

I extracted the following JSON from that output:

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 }: 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 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

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

fn main() {
    let contents = fs::read_to_string("/tmp/file.txt").unwrap();
    let words: Vec<&str> = contents.split_whitespace().collect();

    let mut word_counts: HashMap<&str, usize> = HashMap::new();
    for word in words {
        *word_counts.entry(word).or_insert(0) += 1;
    }

    println!("{{");
    for (word, count) in word_counts {
        println!(r#"    "{word}": {count},"#);
    }
    println!("}}");
}

Extract Code

I extracted the following code from that output:

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

fn main() {
    let contents = fs::read_to_string("/tmp/file.txt").unwrap();
    let words: Vec<&str> = contents.split_whitespace().collect();

    let mut word_counts: HashMap<&str, usize> = HashMap::new();
    for word in words {
        *word_counts.entry(word).or_insert(0) += 1;
    }

    println!("{{");
    for (word, count) in word_counts {
        println!(r#"    "{word}": {count},"#);
    }
    println!("}}");
}

Run Code Interpreter

Running the following program:

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

fn main() {
    let contents = fs::read_to_string("/tmp/file.txt").unwrap();
    let words: Vec<&str> = contents.split_whitespace().collect();

    let mut word_counts: HashMap<&str, usize> = HashMap::new();
    for word in words {
        *word_counts.entry(word).or_insert(0) += 1;
    }

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

Extract Json

I extracted the following JSON from that output:

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

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