Docker Setup

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

Initial Query

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

LLM Generation

Query

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

Output

Here's a self-contained Rust program that counts words and outputs JSON without external dependencies:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
use std::collections::HashMap;
use std::fs::File;
use std::io::{BufRead, BufReader};

fn main() {
    // Read the file
    let file = File::open("/tmp/file.txt").expect("Could not open file");
    let reader = BufReader::new(file);
    
    // Create a HashMap to store word counts
    let mut word_counts: HashMap<String, usize> = HashMap::new();
    
    // 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() {
                *word_counts.entry(word.to_string()).or_insert(0) += 1;
            }
        }
    }
    
    // Create JSON output manually
    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();
    
    for key in keys {
        if !first {
            json_output.push_str(", ");
        }
        first = false;
        
        // Escape quotes in the key if they exist
        let escaped_key = key.replace("\"", "\\\"");
        
        json_output.push_str(&format!("\"{}\": {}", escaped_key, word_counts[key]));
    }
    
    json_output.push('}');
    
    // Print the result
    println!("{}", json_output);
}
This program: 1. Opens the file at `/tmp/file.txt` 2. Reads it line by line 3. Splits each line into words 4. Counts the occurrences of each word in a HashMap 5. Creates a JSON-formatted string manually 6. Prints the result to stdout To compile and run:
1
2
rustc word_count.rs
./word_count
The program will read `/tmp/file.txt` and output the word counts in JSON format. If the file contains "This is is is, an example", it will output:
1
{"This": 1, "an": 1, "example": 1, "is": 2, "is,": 1}
Note that: - The output will be alphabetically sorted by key - It handles basic JSON escaping for quotes in words - It doesn't require any external crates - It uses only standard library features - It expects the file to be at `/tmp/file.txt` If there are any errors (like the file not existing), it will panic with an error message.

Extract Code

I extracted the following code from that output:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
use std::collections::HashMap;
use std::fs::File;
use std::io::{BufRead, BufReader};

fn main() {
    // Read the file
    let file = File::open("/tmp/file.txt").expect("Could not open file");
    let reader = BufReader::new(file);
    
    // Create a HashMap to store word counts
    let mut word_counts: HashMap<String, usize> = HashMap::new();
    
    // 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() {
                *word_counts.entry(word.to_string()).or_insert(0) += 1;
            }
        }
    }
    
    // Create JSON output manually
    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();
    
    for key in keys {
        if !first {
            json_output.push_str(", ");
        }
        first = false;
        
        // Escape quotes in the key if they exist
        let escaped_key = key.replace("\"", "\\\"");
        
        json_output.push_str(&format!("\"{}\": {}", escaped_key, word_counts[key]));
    }
    
    json_output.push('}');
    
    // Print the result
    println!("{}", json_output);
}

Run Code Interpreter

Running the following program:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
use std::collections::HashMap;
use std::fs::File;
use std::io::{BufRead, BufReader};

fn main() {
    // Read the file
    let file = File::open("/tmp/file.txt").expect("Could not open file");
    let reader = BufReader::new(file);
    
    // Create a HashMap to store word counts
    let mut word_counts: HashMap<String, usize> = HashMap::new();
    
    // 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() {
                *word_counts.entry(word.to_string()).or_insert(0) += 1;
            }
        }
    }
    
    // Create JSON output manually
    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();
    
    for key in keys {
        if !first {
            json_output.push_str(", ");
        }
        first = false;
        
        // Escape quotes in the key if they exist
        let escaped_key = key.replace("\"", "\\\"");
        
        json_output.push_str(&format!("\"{}\": {}", escaped_key, word_counts[key]));
    }
    
    json_output.push('}');
    
    // Print the result
    println!("{}", json_output);
}
And got the output: {"Darkness,": 1, "Heaven,": 1, "Light,": 1, "age": 2, "all": 2, "before": 2, "belief,": 1, "best": 1, "despair,": 1, "direct": 2, "epoch": 2, "everything": 1, "foolishness,": 1, "going": 2, "had": 2, "hope,": 1, "incredulity,": 1, "it": 10, "nothing": 1, "of": 10, "other": 1, "season": 2, "spring": 1, "the": 11, "times,": 2, "to": 1, "us,": 2, "was": 10, "way": 1, "we": 4, "were": 2, "winter": 1, "wisdom,": 1, "worst": 1}

Extract Json

I extracted the following JSON from that output:

1
{"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 Do not import serde_json, write json output from scratch.

LLM Generation

Query

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

Output

Here's a self-contained Rust program that counts words and outputs JSON without any external dependencies:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
use std::collections::HashMap;
use std::fs::File;
use std::io::{BufRead, BufReader};

fn main() {
    // Read the file
    let file = File::open("/tmp/file.txt").expect("Could not open file");
    let reader = BufReader::new(file);
    
    // Create a HashMap to store word counts
    let mut word_counts: HashMap<String, u32> = HashMap::new();
    
    // 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() {
                *word_counts.entry(word.to_string()).or_insert(0) += 1;
            }
        }
    }
    
    // Create JSON output manually
    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();
    
    for key in keys {
        if !first {
            json_output.push_str(", ");
        }
        first = false;
        
        // Escape quotes in key if present
        let escaped_key = key.replace("\"", "\\\"");
        
        json_output.push_str(&format!("\"{}\": {}", escaped_key, word_counts[key]));
    }
    
    json_output.push_str("}");
    
    // Print the result
    println!("{}", json_output);
}
This program: 1. Opens the file at `/tmp/file.txt` 2. Reads it line by line 3. Splits each line into words and counts their occurrences in a HashMap 4. Manually constructs a JSON string with proper formatting 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 will read `/tmp/file.txt` and output the word counts in JSON format. For your example input "This is is is, an example", it will produce:
1
{"This": 1, "an": 1, "example": 1, "is": 2, "is,": 1}
Note that this simple implementation: - Treats words as space-separated strings - Preserves punctuation as part of words - Is case-sensitive - Properly escapes quotes in words if they exist - Sorts the output alphabetically by word for consistent output The program doesn't require any external crates and can be compiled directly with `rustc`.

Extract Code

I extracted the following code from that output:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
use std::collections::HashMap;
use std::fs::File;
use std::io::{BufRead, BufReader};

fn main() {
    // Read the file
    let file = File::open("/tmp/file.txt").expect("Could not open file");
    let reader = BufReader::new(file);
    
    // Create a HashMap to store word counts
    let mut word_counts: HashMap<String, u32> = HashMap::new();
    
    // 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() {
                *word_counts.entry(word.to_string()).or_insert(0) += 1;
            }
        }
    }
    
    // Create JSON output manually
    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();
    
    for key in keys {
        if !first {
            json_output.push_str(", ");
        }
        first = false;
        
        // Escape quotes in key if present
        let escaped_key = key.replace("\"", "\\\"");
        
        json_output.push_str(&format!("\"{}\": {}", escaped_key, word_counts[key]));
    }
    
    json_output.push_str("}");
    
    // Print the result
    println!("{}", json_output);
}

Run Code Interpreter

Running the following program:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
use std::collections::HashMap;
use std::fs::File;
use std::io::{BufRead, BufReader};

fn main() {
    // Read the file
    let file = File::open("/tmp/file.txt").expect("Could not open file");
    let reader = BufReader::new(file);
    
    // Create a HashMap to store word counts
    let mut word_counts: HashMap<String, u32> = HashMap::new();
    
    // 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() {
                *word_counts.entry(word.to_string()).or_insert(0) += 1;
            }
        }
    }
    
    // Create JSON output manually
    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();
    
    for key in keys {
        if !first {
            json_output.push_str(", ");
        }
        first = false;
        
        // Escape quotes in key if present
        let escaped_key = key.replace("\"", "\\\"");
        
        json_output.push_str(&format!("\"{}\": {}", escaped_key, word_counts[key]));
    }
    
    json_output.push_str("}");
    
    // Print the result
    println!("{}", json_output);
}
And got the output: {"Darkness,": 1, "Heaven,": 1, "Light,": 1, "age": 2, "all": 2, "before": 2, "belief,": 1, "best": 1, "despair,": 1, "direct": 2, "epoch": 2, "everything": 1, "foolishness,": 1, "going": 2, "had": 2, "hope,": 1, "incredulity,": 1, "it": 10, "nothing": 1, "of": 10, "other": 1, "season": 2, "spring": 1, "the": 11, "times,": 2, "to": 1, "us,": 2, "was": 10, "way": 1, "we": 4, "were": 2, "winter": 1, "wisdom,": 1, "worst": 1}

Extract Json

I extracted the following JSON from that output:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
{
"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 Do not import serde_json, write json output from scratch.

LLM Generation

Query

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

Output

Here's a self-contained Rust program that counts words and outputs JSON without external dependencies:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
use std::collections::HashMap;
use std::fs::File;
use std::io::{BufRead, BufReader};

fn main() {
    // Read the file
    let file = File::open("/tmp/file.txt").expect("Failed to open file");
    let reader = BufReader::new(file);
    
    // Create a HashMap to store word counts
    let mut word_counts: HashMap<String, u32> = HashMap::new();
    
    // Process each line
    for line in reader.lines() {
        if let Ok(line) = line {
            // Split the line into words
            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 json_output = String::from("{");
    let mut first = true;
    
    // Sort the keys for consistent output
    let mut keys: Vec<&String> = word_counts.keys().collect();
    keys.sort();
    
    for key in keys {
        if !first {
            json_output.push_str(", ");
        }
        first = false;
        
        // Escape quotes in the key if they exist
        let escaped_key = key.replace("\"", "\\\"");
        
        json_output.push_str(&format!("\"{}\"", escaped_key));
        json_output.push_str(": ");
        json_output.push_str(&word_counts[key].to_string());
    }
    
    json_output.push_str("}");
    
    // Print the JSON output
    println!("{}", json_output);
}
This program: 1. Opens and reads `/tmp/file.txt` 2. Uses a HashMap to count word occurrences 3. Generates JSON output manually as a string 4. Handles basic string escaping for JSON compatibility 5. Sorts the keys alphabetically for consistent output 6. Prints the resulting JSON to stdout You can compile it with:
1
rustc word_count.rs
And run it with:
1
./word_count
The program expects `/tmp/file.txt` to exist and be readable. It will output JSON in the format you specified, with each word as a key and its count as the value. For your example input "This is is is, an example", it will produce:
1
{"This": 1, "is": 2, "is,": 1, "an": 1, "example": 1}
Note that this simple implementation: - Treats words as space-separated strings - Preserves punctuation as part of words - Is case-sensitive - Doesn't handle all possible JSON escaping scenarios (but covers the basics) If you need more sophisticated word parsing or JSON escaping, the code would need to be expanded, but this meets the basic requirements you specified.

Extract Code

I extracted the following code from that output:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
use std::collections::HashMap;
use std::fs::File;
use std::io::{BufRead, BufReader};

fn main() {
    // Read the file
    let file = File::open("/tmp/file.txt").expect("Failed to open file");
    let reader = BufReader::new(file);
    
    // Create a HashMap to store word counts
    let mut word_counts: HashMap<String, u32> = HashMap::new();
    
    // Process each line
    for line in reader.lines() {
        if let Ok(line) = line {
            // Split the line into words
            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 json_output = String::from("{");
    let mut first = true;
    
    // Sort the keys for consistent output
    let mut keys: Vec<&String> = word_counts.keys().collect();
    keys.sort();
    
    for key in keys {
        if !first {
            json_output.push_str(", ");
        }
        first = false;
        
        // Escape quotes in the key if they exist
        let escaped_key = key.replace("\"", "\\\"");
        
        json_output.push_str(&format!("\"{}\"", escaped_key));
        json_output.push_str(": ");
        json_output.push_str(&word_counts[key].to_string());
    }
    
    json_output.push_str("}");
    
    // Print the JSON output
    println!("{}", json_output);
}

Run Code Interpreter

Running the following program:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
use std::collections::HashMap;
use std::fs::File;
use std::io::{BufRead, BufReader};

fn main() {
    // Read the file
    let file = File::open("/tmp/file.txt").expect("Failed to open file");
    let reader = BufReader::new(file);
    
    // Create a HashMap to store word counts
    let mut word_counts: HashMap<String, u32> = HashMap::new();
    
    // Process each line
    for line in reader.lines() {
        if let Ok(line) = line {
            // Split the line into words
            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 json_output = String::from("{");
    let mut first = true;
    
    // Sort the keys for consistent output
    let mut keys: Vec<&String> = word_counts.keys().collect();
    keys.sort();
    
    for key in keys {
        if !first {
            json_output.push_str(", ");
        }
        first = false;
        
        // Escape quotes in the key if they exist
        let escaped_key = key.replace("\"", "\\\"");
        
        json_output.push_str(&format!("\"{}\"", escaped_key));
        json_output.push_str(": ");
        json_output.push_str(&word_counts[key].to_string());
    }
    
    json_output.push_str("}");
    
    // Print the JSON output
    println!("{}", json_output);
}
And got the output: {"Darkness,": 1, "Heaven,": 1, "Light,": 1, "age": 2, "all": 2, "before": 2, "belief,": 1, "best": 1, "despair,": 1, "direct": 2, "epoch": 2, "everything": 1, "foolishness,": 1, "going": 2, "had": 2, "hope,": 1, "incredulity,": 1, "it": 10, "nothing": 1, "of": 10, "other": 1, "season": 2, "spring": 1, "the": 11, "times,": 2, "to": 1, "us,": 2, "was": 10, "way": 1, "we": 4, "were": 2, "winter": 1, "wisdom,": 1, "worst": 1}

Extract Json

I extracted the following JSON from that output:

1
{"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 Do not import serde_json, write json output from scratch.

LLM Generation

Query

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

Output

Here's a self-contained Rust program that counts word frequencies and outputs JSON without any external dependencies:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
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();

    // 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 and count them
                for word in text.split_whitespace() {
                    let count = word_counts.entry(word.to_string()).or_insert(0);
                    *count += 1;
                }
            }
        }

        // Create JSON output manually
        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();

        for key in keys {
            if !first {
                json_output.push_str(", ");
            }
            first = false;
            
            // Escape quotes in keys if they exist
            let escaped_key = key.replace("\"", "\\\"");
            
            json_output.push_str(&format!("\"{}\": {}", escaped_key, word_counts[key]));
        }
        
        json_output.push('}');

        // Print the JSON output
        println!("{}", json_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. Manually constructs a JSON string with proper formatting 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 the resulting executable For your example input "This is is is, an example", it will produce:
1
{"This": 1, "is": 2, "is,": 1, "an": 1, "example": 1}
The program handles: - Basic word counting - Proper JSON formatting with quotes around keys - Comma separation between entries - Error handling for file operations - Sorted output for consistent results Note that it treats words with attached punctuation as separate words (e.g., "is," is treated as a different word than "is"). If you need different word separation behavior, you would need to modify the word splitting logic.

Extract Code

I extracted the following code from that output:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
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();

    // 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 and count them
                for word in text.split_whitespace() {
                    let count = word_counts.entry(word.to_string()).or_insert(0);
                    *count += 1;
                }
            }
        }

        // Create JSON output manually
        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();

        for key in keys {
            if !first {
                json_output.push_str(", ");
            }
            first = false;
            
            // Escape quotes in keys if they exist
            let escaped_key = key.replace("\"", "\\\"");
            
            json_output.push_str(&format!("\"{}\": {}", escaped_key, word_counts[key]));
        }
        
        json_output.push('}');

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

Run Code Interpreter

Running the following program:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
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();

    // 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 and count them
                for word in text.split_whitespace() {
                    let count = word_counts.entry(word.to_string()).or_insert(0);
                    *count += 1;
                }
            }
        }

        // Create JSON output manually
        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();

        for key in keys {
            if !first {
                json_output.push_str(", ");
            }
            first = false;
            
            // Escape quotes in keys if they exist
            let escaped_key = key.replace("\"", "\\\"");
            
            json_output.push_str(&format!("\"{}\": {}", escaped_key, word_counts[key]));
        }
        
        json_output.push('}');

        // Print the JSON output
        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:

1
{"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 Do not import serde_json, write json output from scratch.

LLM Generation

Query

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

Output

Here's a self-contained Rust program that counts word frequencies and outputs JSON without any external dependencies:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
use std::collections::HashMap;
use std::fs::File;
use std::io::{BufRead, BufReader};

fn main() {
    // Read the file
    let file = File::open("/tmp/file.txt").expect("Failed to open file");
    let reader = BufReader::new(file);
    
    // Create a HashMap to store word counts
    let mut word_counts: HashMap<String, usize> = HashMap::new();

    // 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 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(", ");
        }
        first = false;
        
        // Add quotes around key and format count
        json_output.push('"');
        json_output.push_str(key);
        json_output.push_str("\": ");
        json_output.push_str(&word_counts[key].to_string());
    }
    
    json_output.push('}');
    
    // Print the result
    println!("{}", json_output);
}
This program: 1. Opens and reads the file at `/tmp/file.txt` 2. Uses a HashMap to count word frequencies 3. Manually constructs a JSON string with proper formatting 4. Sorts the keys alphabetically for consistent output 5. Prints the JSON to stdout To compile and run:
1
2
rustc word_count.rs
./word_count
The program will read `/tmp/file.txt` and output the word frequencies in JSON format. For example, if the file contains "This is is is, an example", it will output:
1
{"This": 1, "is": 2, "is,": 1, "an": 1, "example": 1}
Note that this simple implementation: - Treats words as space-separated strings (including punctuation) - Is case-sensitive - Doesn't handle escape characters in JSON strings - Assumes the input file exists and is readable If you need more sophisticated word parsing or JSON escaping, the program would need to be extended accordingly.

Extract Code

I extracted the following code from that output:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
use std::collections::HashMap;
use std::fs::File;
use std::io::{BufRead, BufReader};

fn main() {
    // Read the file
    let file = File::open("/tmp/file.txt").expect("Failed to open file");
    let reader = BufReader::new(file);
    
    // Create a HashMap to store word counts
    let mut word_counts: HashMap<String, usize> = HashMap::new();

    // 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 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(", ");
        }
        first = false;
        
        // Add quotes around key and format count
        json_output.push('"');
        json_output.push_str(key);
        json_output.push_str("\": ");
        json_output.push_str(&word_counts[key].to_string());
    }
    
    json_output.push('}');
    
    // Print the result
    println!("{}", json_output);
}

Run Code Interpreter

Running the following program:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
use std::collections::HashMap;
use std::fs::File;
use std::io::{BufRead, BufReader};

fn main() {
    // Read the file
    let file = File::open("/tmp/file.txt").expect("Failed to open file");
    let reader = BufReader::new(file);
    
    // Create a HashMap to store word counts
    let mut word_counts: HashMap<String, usize> = HashMap::new();

    // 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 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(", ");
        }
        first = false;
        
        // Add quotes around key and format count
        json_output.push('"');
        json_output.push_str(key);
        json_output.push_str("\": ");
        json_output.push_str(&word_counts[key].to_string());
    }
    
    json_output.push('}');
    
    // Print the result
    println!("{}", json_output);
}
And got the output: {"Darkness,": 1, "Heaven,": 1, "Light,": 1, "age": 2, "all": 2, "before": 2, "belief,": 1, "best": 1, "despair,": 1, "direct": 2, "epoch": 2, "everything": 1, "foolishness,": 1, "going": 2, "had": 2, "hope,": 1, "incredulity,": 1, "it": 10, "nothing": 1, "of": 10, "other": 1, "season": 2, "spring": 1, "the": 11, "times,": 2, "to": 1, "us,": 2, "was": 10, "way": 1, "we": 4, "were": 2, "winter": 1, "wisdom,": 1, "worst": 1}

Extract Json

I extracted the following JSON from that output:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
{
"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