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 using only the standard library: 

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

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

    // Open and read the file
    if let Ok(file) = File::open("/tmp/file.txt") {
        let reader = BufReader::new(file);

        // Process each line
        for line in reader.lines() {
            if let Ok(line) = line {
                // Split the line into words
                for word in line.split_whitespace() {
                    // Increment count for this word
                    *word_counts.entry(word.to_string()).or_insert(0) += 1;
                }
            }
        }

        // Create JSON-like output string
        let mut output = String::from("{");
        let mut first = true;

        // Add each word count to output
        for (word, count) in &word_counts {
            if !first {
                output.push_str(", ");
            }
            output.push_str(&format!("\"{}\": {}", word, count));
            first = false;
        }
        output.push('}');

        // Print the result
        println!("{}", output);
    } else {
        println!("Error: Could not open file /tmp/file.txt");
    }
}
This program: 1. Uses only the standard library (no external crates) 2. Reads from `/tmp/file.txt` 3. Counts word occurrences using a HashMap 4. Formats the output as JSON and prints to stdout 5. Handles basic error cases To use it: 1. Save it to a file (e.g., `word_count.rs`) 2. Compile it with: `rustc word_count.rs` 3. Run the resulting executable with no arguments The program will read `/tmp/file.txt` and output the word counts in JSON format to stdout. Note that this is a simple implementation that: - Treats words separated by whitespace as distinct tokens - Preserves punctuation (so "word" and "word," would be counted as different words) - Is case-sensitive ("Word" and "word" would be counted as different words) If you need more sophisticated word parsing (like ignoring punctuation or case-insensitive counting), the program would need to be modified accordingly.

Extract Code

I extracted the following code from that output: 

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

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

    // Open and read the file
    if let Ok(file) = File::open("/tmp/file.txt") {
        let reader = BufReader::new(file);

        // Process each line
        for line in reader.lines() {
            if let Ok(line) = line {
                // Split the line into words
                for word in line.split_whitespace() {
                    // Increment count for this word
                    *word_counts.entry(word.to_string()).or_insert(0) += 1;
                }
            }
        }

        // Create JSON-like output string
        let mut output = String::from("{");
        let mut first = true;

        // Add each word count to output
        for (word, count) in &word_counts {
            if !first {
                output.push_str(", ");
            }
            output.push_str(&format!("\"{}\": {}", word, count));
            first = false;
        }
        output.push('}');

        // Print the result
        println!("{}", output);
    } else {
        println!("Error: Could not open file /tmp/file.txt");
    }
}

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

    // Open and read the file
    if let Ok(file) = File::open("/tmp/file.txt") {
        let reader = BufReader::new(file);

        // Process each line
        for line in reader.lines() {
            if let Ok(line) = line {
                // Split the line into words
                for word in line.split_whitespace() {
                    // Increment count for this word
                    *word_counts.entry(word.to_string()).or_insert(0) += 1;
                }
            }
        }

        // Create JSON-like output string
        let mut output = String::from("{");
        let mut first = true;

        // Add each word count to output
        for (word, count) in &word_counts {
            if !first {
                output.push_str(", ");
            }
            output.push_str(&format!("\"{}\": {}", word, count));
            first = false;
        }
        output.push('}');

        // Print the result
        println!("{}", output);
    } else {
        println!("Error: Could not open file /tmp/file.txt");
    }
}
And got the output: {"it": 10, "everything": 1, "were": 2, "other": 1, "despair,": 1, "we": 4, "best": 1, "incredulity,": 1, "epoch": 2, "age": 2, "us,": 2, "to": 1, "hope,": 1, "belief,": 1, "all": 2, "Light,": 1, "foolishness,": 1, "was": 10, "way": 1, "Darkness,": 1, "worst": 1, "going": 2, "winter": 1, "times,": 2, "nothing": 1, "direct": 2, "wisdom,": 1, "season": 2, "Heaven,": 1, "before": 2, "had": 2, "of": 10, "spring": 1, "the": 11}

Extract Json

I extracted the following JSON from that output: 

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

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 counts word frequencies and outputs JSON without requiring external crates: 

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

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

    // Open and read the file
    if let Ok(file) = File::open("/tmp/file.txt") {
        let reader = BufReader::new(file);

        // Process each line
        for line in reader.lines() {
            if let Ok(line) = line {
                // Split line into words and count them
                for word in line.split_whitespace() {
                    let count = word_counts.entry(word.to_string()).or_insert(0);
                    *count += 1;
                }
            }
        }

        // Create JSON output manually
        let mut output = String::from("{");
        let mut first = true;

        // Sort keys for consistent output
        let mut keys: Vec<&String> = word_counts.keys().collect();
        keys.sort();

        for key in keys {
            if !first {
                output.push_str(", ");
            }
            first = false;
            
            // Add key-value pair in JSON format
            output.push_str(&format!("\"{}\": {}", key, word_counts[key]));
        }
        output.push('}');

        println!("{}", output);
    } else {
        eprintln!("Error: Could not open file /tmp/file.txt");
    }
}
This program: 1. Uses only standard library components (no external crates) 2. Reads from `/tmp/file.txt` 3. Counts word frequencies using a HashMap 4. Outputs JSON-formatted results to stdout 5. Handles basic error cases 6. Sorts the output alphabetically by word 7. Preserves punctuation attached to words (as in your example with "is,") You can compile it with: 
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rustc yourfile.rs
And run it with: 
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./yourfile
It will read `/tmp/file.txt` and output the word frequency counts in JSON format. For your example input "This is is is, an example", it will produce the exact output you specified: 
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{"This": 1, "is": 2, "is,": 1, "an": 1, "example": 1}
The program uses only standard library features and should work with any Rust installation. If the file can't be opened, it will print an error message to stderr.

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

    // Open and read the file
    if let Ok(file) = File::open("/tmp/file.txt") {
        let reader = BufReader::new(file);

        // Process each line
        for line in reader.lines() {
            if let Ok(line) = line {
                // Split line into words and count them
                for word in line.split_whitespace() {
                    let count = word_counts.entry(word.to_string()).or_insert(0);
                    *count += 1;
                }
            }
        }

        // Create JSON output manually
        let mut output = String::from("{");
        let mut first = true;

        // Sort keys for consistent output
        let mut keys: Vec<&String> = word_counts.keys().collect();
        keys.sort();

        for key in keys {
            if !first {
                output.push_str(", ");
            }
            first = false;
            
            // Add key-value pair in JSON format
            output.push_str(&format!("\"{}\": {}", key, word_counts[key]));
        }
        output.push('}');

        println!("{}", output);
    } else {
        eprintln!("Error: Could not open file /tmp/file.txt");
    }
}

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

    // Open and read the file
    if let Ok(file) = File::open("/tmp/file.txt") {
        let reader = BufReader::new(file);

        // Process each line
        for line in reader.lines() {
            if let Ok(line) = line {
                // Split line into words and count them
                for word in line.split_whitespace() {
                    let count = word_counts.entry(word.to_string()).or_insert(0);
                    *count += 1;
                }
            }
        }

        // Create JSON output manually
        let mut output = String::from("{");
        let mut first = true;

        // Sort keys for consistent output
        let mut keys: Vec<&String> = word_counts.keys().collect();
        keys.sort();

        for key in keys {
            if !first {
                output.push_str(", ");
            }
            first = false;
            
            // Add key-value pair in JSON format
            output.push_str(&format!("\"{}\": {}", key, word_counts[key]));
        }
        output.push('}');

        println!("{}", output);
    } else {
        eprintln!("Error: Could not open file /tmp/file.txt");
    }
}
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 counts word frequencies and outputs JSON-formatted results using only the standard library: 

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

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

    // Open and read the file
    if let Ok(file) = File::open("/tmp/file.txt") {
        let reader = BufReader::new(file);

        // Process each line
        for line in reader.lines() {
            if let Ok(line) = line {
                // Split the line into words and count them
                for word in line.split_whitespace() {
                    let count = word_counts.entry(word.to_string()).or_insert(0);
                    *count += 1;
                }
            }
        }

        // Create JSON output
        let mut json_output = String::from("{");
        let mut first = true;

        // Sort keys for consistent output
        let mut keys: Vec<&String> = word_counts.keys().collect();
        keys.sort();

        // Build JSON string
        for key in keys {
            if !first {
                json_output.push_str(", ");
            }
            json_output.push_str(&format!("\"{}\": {}", key, word_counts[key]));
            first = false;
        }
        json_output.push('}');

        // Print the result
        println!("{}", json_output);
    } else {
        eprintln!("Error: Could not open file /tmp/file.txt");
    }
}
This program: 1. Uses only the standard library 2. Reads from `/tmp/file.txt` 3. Counts word frequencies using a HashMap 4. Outputs the results in JSON format to stdout 5. Handles basic error cases 6. Sorts the output alphabetically by word You can compile it with: 
1
rustc yourfile.rs
And run it with: 
1
./yourfile
The program will read `/tmp/file.txt` and output the word count in JSON format. For example, if `/tmp/file.txt` contains: 
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This is is is, an example
The output will be: 
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{"This": 1, "an": 1, "example": 1, "is": 2, "is,": 1}
Note that this is a simple implementation that: - Treats words as space-separated strings - Is case-sensitive - Keeps punctuation attached to words - Doesn't handle Unicode in any special way - Assumes the file is UTF-8 encoded If you need more sophisticated word boundary detection or other features, you would need to add more complex logic or use external crates.

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

    // Open and read the file
    if let Ok(file) = File::open("/tmp/file.txt") {
        let reader = BufReader::new(file);

        // Process each line
        for line in reader.lines() {
            if let Ok(line) = line {
                // Split the line into words and count them
                for word in line.split_whitespace() {
                    let count = word_counts.entry(word.to_string()).or_insert(0);
                    *count += 1;
                }
            }
        }

        // Create JSON output
        let mut json_output = String::from("{");
        let mut first = true;

        // Sort keys for consistent output 
        let mut keys: Vec<&String> = word_counts.keys().collect();
        keys.sort();

        // Build JSON string
        for key in keys {
            if !first {
                json_output.push_str(", ");
            }
            json_output.push_str(&format!("\"{}\": {}", key, word_counts[key]));
            first = false;
        }
        json_output.push('}');

        // Print the result
        println!("{}", json_output);
    } else {
        eprintln!("Error: Could not open file /tmp/file.txt");
    }
}

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

    // Open and read the file
    if let Ok(file) = File::open("/tmp/file.txt") {
        let reader = BufReader::new(file);

        // Process each line
        for line in reader.lines() {
            if let Ok(line) = line {
                // Split the line into words and count them
                for word in line.split_whitespace() {
                    let count = word_counts.entry(word.to_string()).or_insert(0);
                    *count += 1;
                }
            }
        }

        // Create JSON output
        let mut json_output = String::from("{");
        let mut first = true;

        // Sort keys for consistent output 
        let mut keys: Vec<&String> = word_counts.keys().collect();
        keys.sort();

        // Build JSON string
        for key in keys {
            if !first {
                json_output.push_str(", ");
            }
            json_output.push_str(&format!("\"{}\": {}", key, word_counts[key]));
            first = false;
        }
        json_output.push('}');

        // Print the result
        println!("{}", json_output);
    } else {
        eprintln!("Error: Could not open file /tmp/file.txt");
    }
}
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 counts word frequencies and outputs JSON-formatted results using only the standard library: 

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

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

    // Open and read the file
    if let Ok(file) = File::open("/tmp/file.txt") {
        let reader = BufReader::new(file);

        // Process each line
        for line in reader.lines() {
            if let Ok(line) = line {
                // Split the line into words and count them
                for word in line.split_whitespace() {
                    let count = word_counts.entry(word.to_string()).or_insert(0);
                    *count += 1;
                }
            }
        }

        // Create JSON-style output
        let mut output = String::from("{");
        let mut first = true;

        // Sort keys for consistent output
        let mut keys: Vec<&String> = word_counts.keys().collect();
        keys.sort();

        for key in keys {
            if !first {
                output.push_str(", ");
            }
            first = false;
            output.push_str(&format!("\"{}\": {}", key, word_counts[key]));
        }
        output.push('}');

        println!("{}", output);
    } else {
        eprintln!("Error: Could not open file /tmp/file.txt");
    }
}
This program: 1. Uses only the standard library 2. Reads from `/tmp/file.txt` 3. Counts word frequencies using a HashMap 4. Outputs the results in JSON format to stdout 5. Handles basic error cases 6. Can be compiled with just `rustc` To use it: 1. Save it as `word_count.rs` 2. Compile it with: `rustc word_count.rs` 3. Run it with: `./word_count` The program assumes the input file exists at `/tmp/file.txt`. If the file doesn't exist or can't be read, it will print an error message to stderr. The output will be formatted as requested, with each word as a key and its count as the value, enclosed in curly braces. The words are sorted alphabetically for consistent output. For the example input "This is is is, an example", it will produce the output exactly as you specified. Note that this program considers words to be separated by whitespace, so punctuation attached to words (like "is,") will be considered part of the word. If you need different word separation rules, the program would need to be modified accordingly.

Extract Code

I extracted the following code from that output: 

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

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

    // Open and read the file
    if let Ok(file) = File::open("/tmp/file.txt") {
        let reader = BufReader::new(file);

        // Process each line
        for line in reader.lines() {
            if let Ok(line) = line {
                // Split the line into words and count them
                for word in line.split_whitespace() {
                    let count = word_counts.entry(word.to_string()).or_insert(0);
                    *count += 1;
                }
            }
        }

        // Create JSON-style output
        let mut output = String::from("{");
        let mut first = true;

        // Sort keys for consistent output
        let mut keys: Vec<&String> = word_counts.keys().collect();
        keys.sort();

        for key in keys {
            if !first {
                output.push_str(", ");
            }
            first = false;
            output.push_str(&format!("\"{}\": {}", key, word_counts[key]));
        }
        output.push('}');

        println!("{}", output);
    } else {
        eprintln!("Error: Could not open file /tmp/file.txt");
    }
}

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

    // Open and read the file
    if let Ok(file) = File::open("/tmp/file.txt") {
        let reader = BufReader::new(file);

        // Process each line
        for line in reader.lines() {
            if let Ok(line) = line {
                // Split the line into words and count them
                for word in line.split_whitespace() {
                    let count = word_counts.entry(word.to_string()).or_insert(0);
                    *count += 1;
                }
            }
        }

        // Create JSON-style output
        let mut output = String::from("{");
        let mut first = true;

        // Sort keys for consistent output
        let mut keys: Vec<&String> = word_counts.keys().collect();
        keys.sort();

        for key in keys {
            if !first {
                output.push_str(", ");
            }
            first = false;
            output.push_str(&format!("\"{}\": {}", key, word_counts[key]));
        }
        output.push('}');

        println!("{}", output);
    } else {
        eprintln!("Error: Could not open file /tmp/file.txt");
    }
}
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 accomplishes this using only the standard library: 

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

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

    // Open and read the file
    if let Ok(file) = File::open("/tmp/file.txt") {
        let reader = BufReader::new(file);

        // Process each line
        for line in reader.lines() {
            if let Ok(text) = line {
                // Split the line into words
                for word in text.split_whitespace() {
                    let count = word_counts.entry(word.to_string()).or_insert(0);
                    *count += 1;
                }
            }
        }

        // Create JSON-like output manually
        let mut output = String::from("{");
        let mut first = true;

        // Sort keys for consistent output
        let mut keys: Vec<&String> = word_counts.keys().collect();
        keys.sort();

        for key in keys {
            if !first {
                output.push_str(", ");
            }
            first = false;
            output.push_str(&format!("\"{}\": {}", key, word_counts[key]));
        }
        output.push('}');

        println!("{}", output);
    } else {
        eprintln!("Error: Could not open file /tmp/file.txt");
    }
}
This program: 1. Uses only the standard library 2. Reads from `/tmp/file.txt` 3. Counts word occurrences using a HashMap 4. Formats the output as JSON (manually, without using a JSON library) 5. Prints the result to stdout To use it: 1. Save it as `word_count.rs` 2. Compile it with: `rustc word_count.rs` 3. Run it with: `./word_count` The program assumes the file exists at `/tmp/file.txt`. If the file doesn't exist or can't be read, it will print an error message to stderr. The output will be formatted as requested, with each word as a key and its count as the value. The output is alphabetically sorted by word for consistency. For the example input "This is is is, an example", it will produce: 
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{"This": 1, "an": 1, "example": 1, "is": 2, "is,": 1}
Note that this is case-sensitive and preserves punctuation as part of the words. If you need case-insensitive counting or punctuation handling, the program would need to be modified accordingly.

Extract Code

I extracted the following code from that output: 

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

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

    // Open and read the file
    if let Ok(file) = File::open("/tmp/file.txt") {
        let reader = BufReader::new(file);

        // Process each line
        for line in reader.lines() {
            if let Ok(text) = line {
                // Split the line into words
                for word in text.split_whitespace() {
                    let count = word_counts.entry(word.to_string()).or_insert(0);
                    *count += 1;
                }
            }
        }

        // Create JSON-like output manually
        let mut output = String::from("{");
        let mut first = true;

        // Sort keys for consistent output
        let mut keys: Vec<&String> = word_counts.keys().collect();
        keys.sort();

        for key in keys {
            if !first {
                output.push_str(", ");
            }
            first = false;
            output.push_str(&format!("\"{}\": {}", key, word_counts[key]));
        }
        output.push('}');

        println!("{}", output);
    } else {
        eprintln!("Error: Could not open file /tmp/file.txt");
    }
}

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

    // Open and read the file
    if let Ok(file) = File::open("/tmp/file.txt") {
        let reader = BufReader::new(file);

        // Process each line
        for line in reader.lines() {
            if let Ok(text) = line {
                // Split the line into words
                for word in text.split_whitespace() {
                    let count = word_counts.entry(word.to_string()).or_insert(0);
                    *count += 1;
                }
            }
        }

        // Create JSON-like output manually
        let mut output = String::from("{");
        let mut first = true;

        // Sort keys for consistent output
        let mut keys: Vec<&String> = word_counts.keys().collect();
        keys.sort();

        for key in keys {
            if !first {
                output.push_str(", ");
            }
            first = false;
            output.push_str(&format!("\"{}\": {}", key, word_counts[key]));
        }
        output.push('}');

        println!("{}", output);
    } else {
        eprintln!("Error: Could not open file /tmp/file.txt");
    }
}
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