Docker Setup

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

Initial Query

I have a list of several thousand file paths in /tmp/files. Write a python script that merges these all together and splits the content into 16 files called /tmp/merged_%d for i in 0..15 where each is approximately the same size. To do this, sort files by size (largest first) and add files in order always to the smallest one. "/tmp/files" is a list of file paths, one per line.

LLM Generation

Query

Output

**File Merger and Splitter Script** ===================================== This Python script merges a list of files into 16 output files, ensuring each output file is approximately the same size. The script sorts the input files by size in descending order and adds them to the smallest output file. **Code** ------

import os

def get_file_size(file_path):
    """Returns the size of a file in bytes."""
    return os.path.getsize(file_path)

def main():
    # Read the list of file paths
    with open("/tmp/files", "r") as f:
        file_paths = [line.strip() for line in f.readlines()]

    # Sort the file paths by size in descending order
    file_paths.sort(key=get_file_size, reverse=True)

    # Initialize the output files
    output_files = [open(f"/tmp/merged_{i}", "wb") for i in range(16)]
    output_file_sizes = [0] * 16

    # Merge the files into the output files
    for file_path in file_paths:
        # Find the smallest output file
        smallest_file_index = output_file_sizes.index(min(output_file_sizes))

        # Open the file and read its contents
        with open(file_path, "rb") as f:
            file_contents = f.read()

        # Write the file contents to the smallest output file
        output_files[smallest_file_index].write(file_contents)

        # Update the size of the smallest output file
        output_file_sizes[smallest_file_index] += len(file_contents)

    # Close the output files
    for f in output_files:
        f.close()

if __name__ == "__main__":
    main()

**Explanation** --------------- 1. The script reads the list of file paths from the `/tmp/files` file. 2. It sorts the file paths by size in descending order using the `get_file_size` function. 3. It initializes 16 output files and keeps track of their sizes. 4. It iterates over the sorted file paths, finds the smallest output file, and writes the file contents to it. 5. It updates the size of the smallest output file. 6. Finally, it closes the output files. **Example Use Case** -------------------- Assuming you have a list of file paths in `/tmp/files`, you can run the script to merge and split the files:

1	python merge_and_split.py

This will create 16 output files in `/tmp` named `merged_0` to `merged_15`, each containing a portion of the merged files. The files will be approximately the same size.

Extract Code

I extracted the following code from that output:

import os

def get_file_size(file_path):
    """Returns the size of a file in bytes."""
    return os.path.getsize(file_path)

def main():
    # Read the list of file paths
    with open("/tmp/files", "r") as f:
        file_paths = [line.strip() for line in f.readlines()]

    # Sort the file paths by size in descending order
    file_paths.sort(key=get_file_size, reverse=True)

    # Initialize the output files
    output_files = [open(f"/tmp/merged_{i}", "wb") for i in range(16)]
    output_file_sizes = [0] * 16

    # Merge the files into the output files
    for file_path in file_paths:
        # Find the smallest output file
        smallest_file_index = output_file_sizes.index(min(output_file_sizes))

        # Open the file and read its contents
        with open(file_path, "rb") as f:
            file_contents = f.read()

        # Write the file contents to the smallest output file
        output_files[smallest_file_index].write(file_contents)

        # Update the size of the smallest output file
        output_file_sizes[smallest_file_index] += len(file_contents)

    # Close the output files
    for f in output_files:
        f.close()

if __name__ == "__main__":
    main()

Run Code Interpreter

Running the following program:

import os

def get_file_size(file_path):
    """Returns the size of a file in bytes."""
    return os.path.getsize(file_path)

def main():
    # Read the list of file paths
    with open("/tmp/files", "r") as f:
        file_paths = [line.strip() for line in f.readlines()]

    # Sort the file paths by size in descending order
    file_paths.sort(key=get_file_size, reverse=True)

    # Initialize the output files
    output_files = [open(f"/tmp/merged_{i}", "wb") for i in range(16)]
    output_file_sizes = [0] * 16

    # Merge the files into the output files
    for file_path in file_paths:
        # Find the smallest output file
        smallest_file_index = output_file_sizes.index(min(output_file_sizes))

        # Open the file and read its contents
        with open(file_path, "rb") as f:
            file_contents = f.read()

        # Write the file contents to the smallest output file
        output_files[smallest_file_index].write(file_contents)

        # Update the size of the smallest output file
        output_file_sizes[smallest_file_index] += len(file_contents)

    # Close the output files
    for f in output_files:
        f.close()

if __name__ == "__main__":
    main()

And got the output:

PyFunc

final: True Resulting in output: True