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

Certainly! You can use the following Rust program to achieve the desired output. This example reads a text file, counts occurrences of each word, and outputs the counts in JSON format. Note that it does not use external crates for JSON serialization; instead, it constructs the JSON string manually. Please save the following code to a Rust source file, for example, `rust_word_count.rs`: 

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use std::collections::HashMap;
use std::fs::File;
use std::io::{self, BufRead};
use std::path::Path;

fn main() -> io::Result<()> {
    let path = "/tmp/file.txt";
    let input = File::open(path)?;
    let buffered = io::BufReader::new(input);

    let mut word_count = HashMap::new();

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

    // Begin JSON output
    print!("{{");
    let mut first = true;
    for (word, count) in word_count {
        if !first {
            print!(",");
        }
        first = false;
        // Escape double quotes and backslashes in the word
        let escaped_word = word.replace("\\", "\\\\").replace("\"", "\\\"");
        print!("\"{}\": {}", escaped_word, count);
    }
    println!("}}");

    Ok(())
}
To compile and run the program, use the following commands in your terminal: 1. Compile the program: 
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   rustc rust_word_count.rs
2. Make sure `/tmp/file.txt` exists and contains some text, for example: 
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   echo "This is is is, an example" > /tmp/file.txt
3. Run the compiled program: 
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   ./rust_word_count
This will output the word frequency count as JSON to stdout, similar to the example you provided. Remember, this program considers punctuation as part of the word (e.g., "is," and "is" are counted separately). If you need a more sophisticated word splitting mechanism (e.g., ignoring punctuation), you might have to adjust 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::{self, BufRead};
use std::path::Path;

fn main() -> io::Result<()> {
    let path = "/tmp/file.txt";
    let input = File::open(path)?;
    let buffered = io::BufReader::new(input);

    let mut word_count = HashMap::new();

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

    // Begin JSON output
    print!("{{");
    let mut first = true;
    for (word, count) in word_count {
        if !first {
            print!(",");
        }
        first = false;
        // Escape double quotes and backslashes in the word
        let escaped_word = word.replace("\\", "\\\\").replace("\"", "\\\"");
        print!("\"{}\": {}", escaped_word, count);
    }
    println!("}}");

    Ok(())
}

Run Code Interpreter

Running the following program: 

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use std::collections::HashMap;
use std::fs::File;
use std::io::{self, BufRead};
use std::path::Path;

fn main() -> io::Result<()> {
    let path = "/tmp/file.txt";
    let input = File::open(path)?;
    let buffered = io::BufReader::new(input);

    let mut word_count = HashMap::new();

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

    // Begin JSON output
    print!("{{");
    let mut first = true;
    for (word, count) in word_count {
        if !first {
            print!(",");
        }
        first = false;
        // Escape double quotes and backslashes in the word
        let escaped_word = word.replace("\\", "\\\\").replace("\"", "\\\"");
        print!("\"{}\": {}", escaped_word, count);
    }
    println!("}}");

    Ok(())
}
And got the output: {"direct": 2,"age": 2,"incredulity,": 1,"all": 2,"nothing": 1,"despair,": 1,"other": 1,"had": 2,"before": 2,"Darkness,": 1,"hope,": 1,"best": 1,"us,": 2,"belief,": 1,"spring": 1,"we": 4,"going": 2,"to": 1,"worst": 1,"way": 1,"season": 2,"Light,": 1,"of": 10,"winter": 1,"epoch": 2,"Heaven,": 1,"the": 11,"it": 10,"foolishness,": 1,"wisdom,": 1,"everything": 1,"times,": 2,"were": 2,"was": 10} warning: unused import: `std::path::Path` --> main.rs:5:5 | 5 | use std::path::Path; | ^^^^^^^^^^^^^^^ | = note: `#[warn(unused_imports)]` on by default warning: 1 warning emitted

Extract Json

I extracted the following JSON from that output: 

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

Certainly! Below is a simple Rust program that reads a text file located at `/tmp/file.txt`, counts how many times each word appears, and prints the result as a JSON string. This example does not rely on external crates like `serde_json` for JSON serialization; it constructs the JSON string manually. 

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

fn main() -> io::Result<()> {
    // Read the content of the file
    let mut file = fs::File::open("/tmp/file.txt")?;
    let mut contents = String::new();
    file.read_to_string(&mut contents)?;

    // Split the contents into words and count their occurrences
    let mut counts: HashMap<&str, u32> = HashMap::new();
    for word in contents.split_whitespace() {
        *counts.entry(word).or_insert(0) += 1;
    }

    // Manually construct a JSON string from the HashMap
    let mut json_string = String::from("{");
    for (i, (word, count)) in counts.iter().enumerate() {
        if i > 0 {
            json_string.push(',');
        }
        json_string.push_str(&format!("\"{}\": {}", word, count));
    }
    json_string.push('}');

    // Output the JSON string
    println!("{}", json_string);

    Ok(())
}
To compile and run this program, follow these steps: 1. Save the code to a file, for example, `word_count.rs`. 2. Open a terminal and navigate to the directory where `word_count.rs` is saved. 3. Compile the program using `rustc`: 
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   rustc word_count.rs
4. Make sure there's a file at `/tmp/file.txt` with the text content you want to analyze. 5. Run the compiled program: 
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   ./word_count
This program will read the content of `/tmp/file.txt`, count the occurrences of each word (separated by whitespace), and print out a JSON string representing those counts. Note that in the provided solution, words are distinguished strictly by whitespace, meaning "word," and "word" (with and without a comma) are considered different words. Adjusting the word splitting logic to handle punctuation would require additional code not covered in this simple example.

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, Read};

fn main() -> io::Result<()> {
    // Read the content of the file
    let mut file = fs::File::open("/tmp/file.txt")?;
    let mut contents = String::new();
    file.read_to_string(&mut contents)?;

    // Split the contents into words and count their occurrences
    let mut counts: HashMap<&str, u32> = HashMap::new();
    for word in contents.split_whitespace() {
        *counts.entry(word).or_insert(0) += 1;
    }

    // Manually construct a JSON string from the HashMap
    let mut json_string = String::from("{");
    for (i, (word, count)) in counts.iter().enumerate() {
        if i > 0 {
            json_string.push(',');
        }
        json_string.push_str(&format!("\"{}\": {}", word, count));
    }
    json_string.push('}');

    // Output the JSON string
    println!("{}", json_string);

    Ok(())
}

Run Code Interpreter

Running the following program: 

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

fn main() -> io::Result<()> {
    // Read the content of the file
    let mut file = fs::File::open("/tmp/file.txt")?;
    let mut contents = String::new();
    file.read_to_string(&mut contents)?;

    // Split the contents into words and count their occurrences
    let mut counts: HashMap<&str, u32> = HashMap::new();
    for word in contents.split_whitespace() {
        *counts.entry(word).or_insert(0) += 1;
    }

    // Manually construct a JSON string from the HashMap
    let mut json_string = String::from("{");
    for (i, (word, count)) in counts.iter().enumerate() {
        if i > 0 {
            json_string.push(',');
        }
        json_string.push_str(&format!("\"{}\": {}", word, count));
    }
    json_string.push('}');

    // Output the JSON string
    println!("{}", json_string);

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

Extract Json

I extracted the following JSON from that output: 

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

JSON Subset Evaluator

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

Docker Setup

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

Initial Query

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

LLM Generation

Query

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

Output

Certainly! Below is a simple Rust program that reads a text file located at `/tmp/file.txt`, counts the occurrences of each word, and then prints the counts in a JSON-like format to stdout. This example does not use any external crates or `serde_json`, and it manually constructs the JSON string. 

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use std::collections::HashMap;
use std::fs::File;
use std::io::{self, BufRead};
use std::path::Path;

fn main() -> io::Result<()> {
    let path = Path::new("/tmp/file.txt");
    let file = File::open(&path)?;
    let reader = io::BufReader::new(file);

    let mut counts = HashMap::new();

    for line in reader.lines() {
        let line = line?;
        for word in line.split_whitespace() {
            *counts.entry(word.to_string()).or_insert(0) += 1;
        }
    }

    // Start JSON string
    let mut json_output = "{".to_string();

    // Process each word and its count into the JSON string
    for (i, (word, count)) in counts.iter().enumerate() {
        if i > 0 {
            json_output.push_str(", ");
        }
        json_output.push_str(&format!("\"{}\": {}", word, count));
    }

    // End JSON string
    json_output.push('}');

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

    Ok(())
}
This program does the following: 1. Opens the file located at `/tmp/file.txt`. 2. Reads the file line by line. 3. Splits each line into words based on whitespace. 4. Counts how often each word appears using a `HashMap`. 5. Constructs a JSON-like string manually, iterating over the `HashMap` to add each word and its count to the string. 6. Prints the resulting JSON string to stdout. Compile this program with `rustc yourfile.rs` and run it. It will read `/tmp/file.txt`, perform the word count, and output the results in JSON format, as per your requirements. Note that this program considers words to be any sequence of characters separated by whitespace and does not differentiate between words with different cases or punctuation. Adjustments might be needed based on your specific definition of a word.

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::{self, BufRead};
use std::path::Path;

fn main() -> io::Result<()> {
    let path = Path::new("/tmp/file.txt");
    let file = File::open(&path)?;
    let reader = io::BufReader::new(file);

    let mut counts = HashMap::new();

    for line in reader.lines() {
        let line = line?;
        for word in line.split_whitespace() {
            *counts.entry(word.to_string()).or_insert(0) += 1;
        }
    }

    // Start JSON string
    let mut json_output = "{".to_string();

    // Process each word and its count into the JSON string
    for (i, (word, count)) in counts.iter().enumerate() {
        if i > 0 {
            json_output.push_str(", ");
        }
        json_output.push_str(&format!("\"{}\": {}", word, count));
    }

    // End JSON string
    json_output.push('}');

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

    Ok(())
}

Run Code Interpreter

Running the following program: 

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use std::collections::HashMap;
use std::fs::File;
use std::io::{self, BufRead};
use std::path::Path;

fn main() -> io::Result<()> {
    let path = Path::new("/tmp/file.txt");
    let file = File::open(&path)?;
    let reader = io::BufReader::new(file);

    let mut counts = HashMap::new();

    for line in reader.lines() {
        let line = line?;
        for word in line.split_whitespace() {
            *counts.entry(word.to_string()).or_insert(0) += 1;
        }
    }

    // Start JSON string
    let mut json_output = "{".to_string();

    // Process each word and its count into the JSON string
    for (i, (word, count)) in counts.iter().enumerate() {
        if i > 0 {
            json_output.push_str(", ");
        }
        json_output.push_str(&format!("\"{}\": {}", word, count));
    }

    // End JSON string
    json_output.push('}');

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

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

Extract Json

I extracted the following JSON from that output: 

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{
  "was": 10,
  "had": 2,
  "it": 10,
  "direct": 2,
  "best": 1,
  "times,": 2,
  "us,": 2,
  "going": 2,
  "all": 2,
  "way": 1,
  "belief,": 1,
  "other": 1,
  "were": 2,
  "foolishness,": 1,
  "Darkness,": 1,
  "season": 2,
  "incredulity,": 1,
  "the": 11,
  "Light,": 1,
  "age": 2,
  "winter": 1,
  "despair,": 1,
  "everything": 1,
  "before": 2,
  "worst": 1,
  "spring": 1,
  "nothing": 1,
  "to": 1,
  "we": 4,
  "of": 10,
  "wisdom,": 1,
  "epoch": 2,
  "hope,": 1,
  "Heaven,": 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 simple Rust program that meets your requirements. This code reads a text file located at `/tmp/file.txt`, counts the occurrences of each word, and then prints the JSON representation of these counts to stdout. Note that this program doesn't use any external crates and writes JSON output manually. 

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

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

    // Initialize a HashMap to count occurrences of each word
    let mut counts = HashMap::new();

    // Iterate over words in the file and count them
    for word in contents.split_whitespace() {
        // Increment the word count
        *counts.entry(word).or_insert(0) += 1;
    }

    // Manually construct the JSON string
    let mut json_string = "{".to_string();
    let mut first = true;
    for (word, count) in counts {
        if !first {
            json_string.push(',');
        } else {
            first = false;
        }
        json_string.push_str(&format!("\"{}\": {}", word, count));
    }
    json_string.push('}');

    // Print the JSON string
    println!("{}", json_string);

    Ok(())
}
Compile this program using `rustc` as you described: 
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rustc yourfile.rs
Then run it: 
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/path/to/yourfile
This program does not handle punctuation gracefully, meaning words like "is," and "is" would be considered separate entries, as per your example. If you need more sophisticated word splitting that removes punctuation, you would need to include additional logic to clean up the words before counting them.

Extract Code

I extracted the following code from that output: 

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

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

    // Initialize a HashMap to count occurrences of each word
    let mut counts = HashMap::new();

    // Iterate over words in the file and count them
    for word in contents.split_whitespace() {
        // Increment the word count
        *counts.entry(word).or_insert(0) += 1;
    }

    // Manually construct the JSON string
    let mut json_string = "{".to_string();
    let mut first = true;
    for (word, count) in counts {
        if !first {
            json_string.push(',');
        } else {
            first = false;
        }
        json_string.push_str(&format!("\"{}\": {}", word, count));
    }
    json_string.push('}');

    // Print the JSON string
    println!("{}", json_string);

    Ok(())
}

Run Code Interpreter

Running the following program: 

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

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

    // Initialize a HashMap to count occurrences of each word
    let mut counts = HashMap::new();

    // Iterate over words in the file and count them
    for word in contents.split_whitespace() {
        // Increment the word count
        *counts.entry(word).or_insert(0) += 1;
    }

    // Manually construct the JSON string
    let mut json_string = "{".to_string();
    let mut first = true;
    for (word, count) in counts {
        if !first {
            json_string.push(',');
        } else {
            first = false;
        }
        json_string.push_str(&format!("\"{}\": {}", word, count));
    }
    json_string.push('}');

    // Print the JSON string
    println!("{}", json_string);

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

Extract Json

I extracted the following JSON from that output: 

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

Below is a self-contained Rust program that reads from a file located at `/tmp/file.txt`, counts the occurrences of each word, and prints the result in JSON format. This program does not use any external crates, so you can compile it with `rustc` directly and run it without any arguments. 

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use std::collections::HashMap;
use std::fs::File;
use std::io::{self, BufRead};
use std::io::prelude::*;

fn main() -> io::Result<()> {
    let path = "/tmp/file.txt";
    let file = File::open(path)?;
    let reader = io::BufReader::new(file);

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

    for line in reader.lines() {
        let line = line?;
        // Splitting the line by whitespace and iterating over each word
        for word in line.split_whitespace() {
            // Incrementing the count for each word
            *word_count.entry(word.to_string()).or_insert(0) += 1;
        }
    }

    // Start JSON output
    print!("{{");
    let mut first = true;
    for (word, count) in word_count {
        // For each key-value pair, format and print it
        if !first {
            print!(", ");
        }
        print!("\"{}\": {}", word, count);
        if first {
            first = false;
        }
    }
    println!("}}");

    Ok(())
}
When you compile and run this program, it will read the content of `/tmp/file.txt`, count how many times each word appears, and print the result in JSON format to stdout. Note that this program treats words as case-sensitive and considers punctuation as part of the word (e.g., "is," and "is" are counted separately). To compile, use: 
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rustc yourfile.rs
And then run it with: 
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./yourfile
Ensure the `/tmp/file.txt` file exists and contains text before running the program.

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::{self, BufRead};
use std::io::prelude::*;

fn main() -> io::Result<()> {
    let path = "/tmp/file.txt";
    let file = File::open(path)?;
    let reader = io::BufReader::new(file);

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

    for line in reader.lines() {
        let line = line?;
        // Splitting the line by whitespace and iterating over each word
        for word in line.split_whitespace() {
            // Incrementing the count for each word
            *word_count.entry(word.to_string()).or_insert(0) += 1;
        }
    }

    // Start JSON output
    print!("{{");
    let mut first = true;
    for (word, count) in word_count {
        // For each key-value pair, format and print it
        if !first {
            print!(", ");
        }
        print!("\"{}\": {}", word, count);
        if first {
            first = false;
        }
    }
    println!("}}");

    Ok(())
}

Run Code Interpreter

Running the following program: 

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use std::collections::HashMap;
use std::fs::File;
use std::io::{self, BufRead};
use std::io::prelude::*;

fn main() -> io::Result<()> {
    let path = "/tmp/file.txt";
    let file = File::open(path)?;
    let reader = io::BufReader::new(file);

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

    for line in reader.lines() {
        let line = line?;
        // Splitting the line by whitespace and iterating over each word
        for word in line.split_whitespace() {
            // Incrementing the count for each word
            *word_count.entry(word.to_string()).or_insert(0) += 1;
        }
    }

    // Start JSON output
    print!("{{");
    let mut first = true;
    for (word, count) in word_count {
        // For each key-value pair, format and print it
        if !first {
            print!(", ");
        }
        print!("\"{}\": {}", word, count);
        if first {
            first = false;
        }
    }
    println!("}}");

    Ok(())
}
And got the output: {"despair,": 1, "worst": 1, "nothing": 1, "the": 11, "hope,": 1, "epoch": 2, "belief,": 1, "all": 2, "other": 1, "direct": 2, "incredulity,": 1, "Darkness,": 1, "it": 10, "best": 1, "winter": 1, "wisdom,": 1, "we": 4, "had": 2, "to": 1, "before": 2, "times,": 2, "season": 2, "us,": 2, "Heaven,": 1, "everything": 1, "were": 2, "age": 2, "foolishness,": 1, "way": 1, "Light,": 1, "spring": 1, "going": 2, "of": 10, "was": 10} warning: unused import: `std::io::prelude::*` --> main.rs:5:5 | 5 | use std::io::prelude::*; | ^^^^^^^^^^^^^^^^^^^ | = note: `#[warn(unused_imports)]` on by default warning: 1 warning emitted

Extract Json

I extracted the following JSON from that output: 

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