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

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.

Output

Okay, here is a Python script that accomplishes the task. It reads the file list, gets the size of each file, sorts them largest first, and then iteratively appends the content of the next largest file to the currently smallest output file. 

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import os
import sys

# --- Configuration ---
FILE_LIST_PATH = '/tmp/files'
OUTPUT_DIR = '/tmp'
OUTPUT_PREFIX = 'merged_'
NUM_OUTPUT_FILES = 16
CHUNK_SIZE = 1024 * 1024  # Read/write in 1MB chunks for efficiency with large files
# --- End Configuration ---

def get_files_with_sizes(list_path):
    """Reads the list file and returns a list of (filepath, size) tuples."""
    files_with_sizes = []
    print(f"Reading file list from: {list_path}")
    try:
        with open(list_path, 'r') as f_list:
            for line in f_list:
                filepath = line.strip()
                if not filepath:
                    continue
                if os.path.isfile(filepath):
                    try:
                        size = os.path.getsize(filepath)
                        files_with_sizes.append((filepath, size))
                    except OSError as e:
                        print(f"Warning: Could not get size for '{filepath}'. Skipping. Error: {e}", file=sys.stderr)
                else:
                    print(f"Warning: Path '{filepath}' listed in {list_path} is not a file or does not exist. Skipping.", file=sys.stderr)
    except FileNotFoundError:
        print(f"Error: File list '{list_path}' not found.", file=sys.stderr)
        sys.exit(1)
    except Exception as e:
        print(f"Error reading file list '{list_path}': {e}", file=sys.stderr)
        sys.exit(1)

    if not files_with_sizes:
        print("Error: No valid files found from the list.", file=sys.stderr)
        sys.exit(1)

    print(f"Found {len(files_with_sizes)} valid files.")
    return files_with_sizes

def merge_and_split_files(files_with_sizes, num_output, out_dir, out_prefix):
    """Merges files and splits them according to the specified strategy."""

    # Sort files by size, largest first
    files_with_sizes.sort(key=lambda item: item[1], reverse=True)
    print("Sorted files by size (largest first).")

    # Initialize output file sizes and handles
    output_file_paths = [os.path.join(out_dir, f"{out_prefix}{i}") for i in range(num_output)]
    output_file_sizes = [0] * num_output
    output_file_handles = []

    try:
        # Ensure output directory exists (though /tmp usually does)
        os.makedirs(out_dir, exist_ok=True)

        # Open all output files in append binary mode ('ab')
        # Opening them once is more efficient than open/close for each input file
        print("Opening output files...")
        for i in range(num_output):
            path = output_file_paths[i]
            # Clear the file if it exists from a previous run
            try:
                with open(path, 'wb') as f_out_init:
                    pass # Just truncate the file
                # Now open in append mode
                output_file_handles.append(open(path, 'ab'))
            except IOError as e:
                print(f"Error opening output file '{path}' for writing: {e}", file=sys.stderr)
                # Close any already opened handles before exiting
                for handle in output_file_handles:
                    handle.close()
                sys.exit(1)

        print(f"Processing {len(files_with_sizes)} input files...")
        processed_count = 0
        # Iterate through sorted files (largest first)
        for filepath, size in files_with_sizes:
            # Find the index of the currently smallest output file
            min_size = float('inf')
            min_index = -1
            for i in range(num_output):
                if output_file_sizes[i] < min_size:
                    min_size = output_file_sizes[i]
                    min_index = i

            # Select the target output file handle
            target_handle = output_file_handles[min_index]
            target_path = output_file_paths[min_index]
            # print(f"  Adding '{os.path.basename(filepath)}' ({size} bytes) to '{os.path.basename(target_path)}' (current size: {output_file_sizes[min_index]})")


            # Append the content of the input file to the target output file
            try:
                with open(filepath, 'rb') as f_in:
                    while True:
                        chunk = f_in.read(CHUNK_SIZE)
                        if not chunk:
                            break
                        target_handle.write(chunk)
                # Update the size tracker for the target output file
                output_file_sizes[min_index] += size
                processed_count += 1
                if processed_count % 100 == 0:
                     print(f"  Processed {processed_count}/{len(files_with_sizes)} files...")

            except IOError as e:
                print(f"Warning: Error reading '{filepath}' or writing to '{target_path}'. Skipping file. Error: {e}", file=sys.stderr)
            except Exception as e:
                 print(f"Warning: Unexpected error processing '{filepath}'. Skipping file. Error: {e}", file=sys.stderr)


    finally:
        # Ensure all output files are closed
        print("Closing output files...")
        for handle in output_file_handles:
            if handle and not handle.closed:
                handle.close()

    print("\n--- Processing Complete ---")
    print("Final approximate sizes of output files:")
    for i in range(num_output):
        final_size_mb = output_file_sizes[i] / (1024 * 1024)
        print(f"  {output_file_paths[i]}: {output_file_sizes[i]} bytes (~{final_size_mb:.2f} MB)")

# --- Main Execution ---
if __name__ == "__main__":
    # 1. Get the list of files and their sizes
    files_to_process = get_files_with_sizes(FILE_LIST_PATH)

    # 2. Perform the merge and split operation
    merge_and_split_files(
        files_to_process,
        NUM_OUTPUT_FILES,
        OUTPUT_DIR,
        OUTPUT_PREFIX
    )

    print("\nScript finished successfully.")
**How to use it:** 1. **Save:** Save the code above as a Python file (e.g., `merge_split.py`). 2. **Prepare Input:** Make sure you have the file `/tmp/files` containing the full paths to your input files, one path per line. Ensure the files listed actually exist and are readable. 3. **Run:** Execute the script from your terminal: 
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    python merge_split.py
4. **Check Output:** After the script finishes, you will find 16 files named `/tmp/merged_0`, `/tmp/merged_1`, ..., `/tmp/merged_15`. **Explanation:** 1. **Configuration:** Constants at the top make it easy to change the input list path, output directory, number of files, etc. 2. **`get_files_with_sizes`:** * Reads the `FILE_LIST_PATH`. * Iterates through each line (stripping whitespace). * Uses `os.path.isfile` to check if the path points to an actual file. * Uses `os.path.getsize` to get the file size. * Includes basic error handling for missing list file, non-existent files listed, or permission errors when getting size. * Returns a list of tuples: `[(filepath1, size1), (filepath2, size2), ...]`. 3. **`merge_and_split_files`:** * Takes the list of `(filepath, size)` tuples. * **Sorts** the list in descending order based on size (`key=lambda item: item[1], reverse=True`). * Initializes `output_file_sizes` to track the current total size added to each output file (starts at 0). * **Opens Output Files:** It opens all `NUM_OUTPUT_FILES` (16) in append binary mode (`'ab'`) *once* at the beginning. This is generally more efficient than opening and closing them repeatedly. It first opens in `'wb'` to truncate any existing files from previous runs, then reopens in `'ab'`. A `try...finally` block ensures these files are closed even if errors occur later. * **Iterates Through Sorted Files:** It loops through the sorted input files (largest first). * **Finds Smallest Output:** Inside the loop, it finds the index (`min_index`) of the output file that currently has the smallest total size according to `output_file_sizes`. * **Appends Content:** It opens the current input file (`filepath`) in read binary mode (`'rb'`) and reads its content in chunks (`CHUNK_SIZE`). Each chunk is written to the chosen output file handle (`target_handle`). Reading/writing in binary mode (`'rb'`, `'ab'`) is crucial to handle any type of file content correctly without encoding issues. * **Updates Size Tracker:** After successfully copying the file content, it adds the `size` of the input file to `output_file_sizes[min_index]`. * **Error Handling:** Includes `try...except` blocks for potential `IOError` during reading or writing individual files. * **Closes Files:** The `finally` block ensures all output file handles are closed. * **Prints Summary:** Shows the final calculated sizes of the output files. 4. **`if __name__ == "__main__":`:** Standard Python practice to make the script runnable directly. It calls the functions in sequence.

Extract Code

I extracted the following code from that output: 

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import os
import sys

# --- Configuration ---
FILE_LIST_PATH = '/tmp/files'
OUTPUT_DIR = '/tmp'
OUTPUT_PREFIX = 'merged_'
NUM_OUTPUT_FILES = 16
CHUNK_SIZE = 1024 * 1024  # Read/write in 1MB chunks for efficiency with large files
# --- End Configuration ---

def get_files_with_sizes(list_path):
    """Reads the list file and returns a list of (filepath, size) tuples."""
    files_with_sizes = []
    print(f"Reading file list from: {list_path}")
    try:
        with open(list_path, 'r') as f_list:
            for line in f_list:
                filepath = line.strip()
                if not filepath:
                    continue
                if os.path.isfile(filepath):
                    try:
                        size = os.path.getsize(filepath)
                        files_with_sizes.append((filepath, size))
                    except OSError as e:
                        print(f"Warning: Could not get size for '{filepath}'. Skipping. Error: {e}", file=sys.stderr)
                else:
                    print(f"Warning: Path '{filepath}' listed in {list_path} is not a file or does not exist. Skipping.", file=sys.stderr)
    except FileNotFoundError:
        print(f"Error: File list '{list_path}' not found.", file=sys.stderr)
        sys.exit(1)
    except Exception as e:
        print(f"Error reading file list '{list_path}': {e}", file=sys.stderr)
        sys.exit(1)

    if not files_with_sizes:
        print("Error: No valid files found from the list.", file=sys.stderr)
        sys.exit(1)

    print(f"Found {len(files_with_sizes)} valid files.")
    return files_with_sizes

def merge_and_split_files(files_with_sizes, num_output, out_dir, out_prefix):
    """Merges files and splits them according to the specified strategy."""

    # Sort files by size, largest first
    files_with_sizes.sort(key=lambda item: item[1], reverse=True)
    print("Sorted files by size (largest first).")

    # Initialize output file sizes and handles
    output_file_paths = [os.path.join(out_dir, f"{out_prefix}{i}") for i in range(num_output)]
    output_file_sizes = [0] * num_output
    output_file_handles = []

    try:
        # Ensure output directory exists (though /tmp usually does)
        os.makedirs(out_dir, exist_ok=True)

        # Open all output files in append binary mode ('ab')
        # Opening them once is more efficient than open/close for each input file
        print("Opening output files...")
        for i in range(num_output):
            path = output_file_paths[i]
            # Clear the file if it exists from a previous run
            try:
                with open(path, 'wb') as f_out_init:
                    pass # Just truncate the file
                # Now open in append mode
                output_file_handles.append(open(path, 'ab'))
            except IOError as e:
                print(f"Error opening output file '{path}' for writing: {e}", file=sys.stderr)
                # Close any already opened handles before exiting
                for handle in output_file_handles:
                    handle.close()
                sys.exit(1)

        print(f"Processing {len(files_with_sizes)} input files...")
        processed_count = 0
        # Iterate through sorted files (largest first)
        for filepath, size in files_with_sizes:
            # Find the index of the currently smallest output file
            min_size = float('inf')
            min_index = -1
            for i in range(num_output):
                if output_file_sizes[i] < min_size:
                    min_size = output_file_sizes[i]
                    min_index = i

            # Select the target output file handle
            target_handle = output_file_handles[min_index]
            target_path = output_file_paths[min_index]
            # print(f"  Adding '{os.path.basename(filepath)}' ({size} bytes) to '{os.path.basename(target_path)}' (current size: {output_file_sizes[min_index]})")


            # Append the content of the input file to the target output file
            try:
                with open(filepath, 'rb') as f_in:
                    while True:
                        chunk = f_in.read(CHUNK_SIZE)
                        if not chunk:
                            break
                        target_handle.write(chunk)
                # Update the size tracker for the target output file
                output_file_sizes[min_index] += size
                processed_count += 1
                if processed_count % 100 == 0:
                     print(f"  Processed {processed_count}/{len(files_with_sizes)} files...")

            except IOError as e:
                print(f"Warning: Error reading '{filepath}' or writing to '{target_path}'. Skipping file. Error: {e}", file=sys.stderr)
            except Exception as e:
                 print(f"Warning: Unexpected error processing '{filepath}'. Skipping file. Error: {e}", file=sys.stderr)


    finally:
        # Ensure all output files are closed
        print("Closing output files...")
        for handle in output_file_handles:
            if handle and not handle.closed:
                handle.close()

    print("\n--- Processing Complete ---")
    print("Final approximate sizes of output files:")
    for i in range(num_output):
        final_size_mb = output_file_sizes[i] / (1024 * 1024)
        print(f"  {output_file_paths[i]}: {output_file_sizes[i]} bytes (~{final_size_mb:.2f} MB)")

# --- Main Execution ---
if __name__ == "__main__":
    # 1. Get the list of files and their sizes
    files_to_process = get_files_with_sizes(FILE_LIST_PATH)

    # 2. Perform the merge and split operation
    merge_and_split_files(
        files_to_process,
        NUM_OUTPUT_FILES,
        OUTPUT_DIR,
        OUTPUT_PREFIX
    )

    print("\nScript finished successfully.")

Run Code Interpreter

Running the following program: 

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import os
import sys

# --- Configuration ---
FILE_LIST_PATH = '/tmp/files'
OUTPUT_DIR = '/tmp'
OUTPUT_PREFIX = 'merged_'
NUM_OUTPUT_FILES = 16
CHUNK_SIZE = 1024 * 1024  # Read/write in 1MB chunks for efficiency with large files
# --- End Configuration ---

def get_files_with_sizes(list_path):
    """Reads the list file and returns a list of (filepath, size) tuples."""
    files_with_sizes = []
    print(f"Reading file list from: {list_path}")
    try:
        with open(list_path, 'r') as f_list:
            for line in f_list:
                filepath = line.strip()
                if not filepath:
                    continue
                if os.path.isfile(filepath):
                    try:
                        size = os.path.getsize(filepath)
                        files_with_sizes.append((filepath, size))
                    except OSError as e:
                        print(f"Warning: Could not get size for '{filepath}'. Skipping. Error: {e}", file=sys.stderr)
                else:
                    print(f"Warning: Path '{filepath}' listed in {list_path} is not a file or does not exist. Skipping.", file=sys.stderr)
    except FileNotFoundError:
        print(f"Error: File list '{list_path}' not found.", file=sys.stderr)
        sys.exit(1)
    except Exception as e:
        print(f"Error reading file list '{list_path}': {e}", file=sys.stderr)
        sys.exit(1)

    if not files_with_sizes:
        print("Error: No valid files found from the list.", file=sys.stderr)
        sys.exit(1)

    print(f"Found {len(files_with_sizes)} valid files.")
    return files_with_sizes

def merge_and_split_files(files_with_sizes, num_output, out_dir, out_prefix):
    """Merges files and splits them according to the specified strategy."""

    # Sort files by size, largest first
    files_with_sizes.sort(key=lambda item: item[1], reverse=True)
    print("Sorted files by size (largest first).")

    # Initialize output file sizes and handles
    output_file_paths = [os.path.join(out_dir, f"{out_prefix}{i}") for i in range(num_output)]
    output_file_sizes = [0] * num_output
    output_file_handles = []

    try:
        # Ensure output directory exists (though /tmp usually does)
        os.makedirs(out_dir, exist_ok=True)

        # Open all output files in append binary mode ('ab')
        # Opening them once is more efficient than open/close for each input file
        print("Opening output files...")
        for i in range(num_output):
            path = output_file_paths[i]
            # Clear the file if it exists from a previous run
            try:
                with open(path, 'wb') as f_out_init:
                    pass # Just truncate the file
                # Now open in append mode
                output_file_handles.append(open(path, 'ab'))
            except IOError as e:
                print(f"Error opening output file '{path}' for writing: {e}", file=sys.stderr)
                # Close any already opened handles before exiting
                for handle in output_file_handles:
                    handle.close()
                sys.exit(1)

        print(f"Processing {len(files_with_sizes)} input files...")
        processed_count = 0
        # Iterate through sorted files (largest first)
        for filepath, size in files_with_sizes:
            # Find the index of the currently smallest output file
            min_size = float('inf')
            min_index = -1
            for i in range(num_output):
                if output_file_sizes[i] < min_size:
                    min_size = output_file_sizes[i]
                    min_index = i

            # Select the target output file handle
            target_handle = output_file_handles[min_index]
            target_path = output_file_paths[min_index]
            # print(f"  Adding '{os.path.basename(filepath)}' ({size} bytes) to '{os.path.basename(target_path)}' (current size: {output_file_sizes[min_index]})")


            # Append the content of the input file to the target output file
            try:
                with open(filepath, 'rb') as f_in:
                    while True:
                        chunk = f_in.read(CHUNK_SIZE)
                        if not chunk:
                            break
                        target_handle.write(chunk)
                # Update the size tracker for the target output file
                output_file_sizes[min_index] += size
                processed_count += 1
                if processed_count % 100 == 0:
                     print(f"  Processed {processed_count}/{len(files_with_sizes)} files...")

            except IOError as e:
                print(f"Warning: Error reading '{filepath}' or writing to '{target_path}'. Skipping file. Error: {e}", file=sys.stderr)
            except Exception as e:
                 print(f"Warning: Unexpected error processing '{filepath}'. Skipping file. Error: {e}", file=sys.stderr)


    finally:
        # Ensure all output files are closed
        print("Closing output files...")
        for handle in output_file_handles:
            if handle and not handle.closed:
                handle.close()

    print("\n--- Processing Complete ---")
    print("Final approximate sizes of output files:")
    for i in range(num_output):
        final_size_mb = output_file_sizes[i] / (1024 * 1024)
        print(f"  {output_file_paths[i]}: {output_file_sizes[i]} bytes (~{final_size_mb:.2f} MB)")

# --- Main Execution ---
if __name__ == "__main__":
    # 1. Get the list of files and their sizes
    files_to_process = get_files_with_sizes(FILE_LIST_PATH)

    # 2. Perform the merge and split operation
    merge_and_split_files(
        files_to_process,
        NUM_OUTPUT_FILES,
        OUTPUT_DIR,
        OUTPUT_PREFIX
    )

    print("\nScript finished successfully.")
And got the output: Reading file list from: /tmp/files Found 1000 valid files. Sorted files by size (largest first). Opening output files... Processing 1000 input files... Processed 100/1000 files... Processed 200/1000 files... Processed 300/1000 files... Processed 400/1000 files... Processed 500/1000 files... Processed 600/1000 files... Processed 700/1000 files... Processed 800/1000 files... Processed 900/1000 files... Processed 1000/1000 files... Closing output files... --- Processing Complete --- Final approximate sizes of output files: /tmp/merged_0: 37512 bytes (~0.04 MB) /tmp/merged_1: 37511 bytes (~0.04 MB) /tmp/merged_2: 37511 bytes (~0.04 MB) /tmp/merged_3: 37516 bytes (~0.04 MB) /tmp/merged_4: 37513 bytes (~0.04 MB) /tmp/merged_5: 37511 bytes (~0.04 MB) /tmp/merged_6: 37511 bytes (~0.04 MB) /tmp/merged_7: 37511 bytes (~0.04 MB) /tmp/merged_8: 37510 bytes (~0.04 MB) /tmp/merged_9: 37511 bytes (~0.04 MB) /tmp/merged_10: 37516 bytes (~0.04 MB) /tmp/merged_11: 37510 bytes (~0.04 MB) /tmp/merged_12: 37514 bytes (~0.04 MB) /tmp/merged_13: 37510 bytes (~0.04 MB) /tmp/merged_14: 37510 bytes (~0.04 MB) /tmp/merged_15: 37512 bytes (~0.04 MB) Script finished successfully.

PyFunc

final: True Resulting in output: True