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 the content int 16 files called /tmp/merged_%d for i in 0..15 where each is approximately the same size. "/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 the content int 16 files called /tmp/merged_%d for i in 0..15 where each is approximately the same size. "/tmp/files" is a list of file paths, one per line.

Output

Okay, here's a Python script that accomplishes this. It reads the list of file paths, determines the target output file for each input file based on which output file is currently the smallest, and copies the content chunk by chunk to manage memory usage. 

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#!/usr/bin/env python3

import os
import sys
import math

# --- Configuration ---
INPUT_LIST_FILE = "/tmp/files"
OUTPUT_DIR = "/tmp"
OUTPUT_PREFIX = "merged_"
NUM_OUTPUT_FILES = 16
CHUNK_SIZE = 1024 * 1024  # Read/write in 1MB chunks

# --- Helper Function ---
def get_file_size(filepath):
    """Safely gets the size of a file."""
    try:
        return os.path.getsize(filepath)
    except OSError as e:
        print(f"Warning: Could not get size for {filepath}: {e}", file=sys.stderr)
        return None

# --- Main Logic ---
def merge_files():
    # 1. Read the list of input file paths
    try:
        with open(INPUT_LIST_FILE, 'r') as f:
            # Read lines, strip whitespace, filter out empty lines
            input_file_paths = [line.strip() for line in f if line.strip()]
    except FileNotFoundError:
        print(f"Error: Input list file not found: {INPUT_LIST_FILE}", file=sys.stderr)
        sys.exit(1)
    except OSError as e:
        print(f"Error: Could not read input list file {INPUT_LIST_FILE}: {e}", file=sys.stderr)
        sys.exit(1)

    if not input_file_paths:
        print("Warning: Input list file is empty. No files to merge.", file=sys.stderr)
        # Create empty output files anyway? Or exit? Let's create empty ones.
        # Fall through to the output file opening logic.

    print(f"Found {len(input_file_paths)} file paths to process.")

    # 2. Prepare output files and size tracking
    output_file_handles = []
    output_file_paths = []
    # Track the current size of each output file
    output_file_sizes = [0] * NUM_OUTPUT_FILES

    try:
        os.makedirs(OUTPUT_DIR, exist_ok=True) # Ensure output directory exists
        for i in range(NUM_OUTPUT_FILES):
            path = os.path.join(OUTPUT_DIR, f"{OUTPUT_PREFIX}{i}")
            output_file_paths.append(path)
            # Open in binary append mode ('ab') or binary write ('wb')
            # 'wb' is safer if rerunning, ensuring clean slate.
            # If you need to append across runs, use 'ab'. Let's use 'wb'.
            handle = open(path, 'wb')
            output_file_handles.append(handle)
    except OSError as e:
        print(f"Error: Could not open output files in {OUTPUT_DIR}: {e}", file=sys.stderr)
        # Clean up any already opened files
        for handle in output_file_handles:
            handle.close()
        sys.exit(1)

    # 3. Process each input file and distribute content
    files_processed = 0
    bytes_processed = 0
    skipped_files = 0

    print("Starting merge process...")
    for input_path in input_file_paths:
        input_size = get_file_size(input_path)

        if input_size is None:
            print(f"Skipping file due to size error: {input_path}", file=sys.stderr)
            skipped_files += 1
            continue # Skip this file

        # Find the index of the output file that is currently smallest
        target_index = output_file_sizes.index(min(output_file_sizes))
        target_handle = output_file_handles[target_index]
        target_path = output_file_paths[target_index]

        # print(f"Adding {input_path} ({input_size} bytes) to {target_path} (current size: {output_file_sizes[target_index]})") # Verbose

        try:
            with open(input_path, 'rb') as infile:
                while True:
                    chunk = infile.read(CHUNK_SIZE)
                    if not chunk:
                        break
                    target_handle.write(chunk)
            # Update the size tracker for the target file
            output_file_sizes[target_index] += input_size
            files_processed += 1
            bytes_processed += input_size

        except FileNotFoundError:
            print(f"Warning: Input file disappeared or is not accessible: {input_path}", file=sys.stderr)
            skipped_files += 1
        except OSError as e:
            print(f"Warning: Error reading {input_path} or writing to {target_path}: {e}", file=sys.stderr)
            skipped_files += 1
        except Exception as e:
             print(f"Warning: Unexpected error processing {input_path}: {e}", file=sys.stderr)
             skipped_files += 1


    # 4. Clean up: Close all output files
    print("Closing output files...")
    for handle in output_file_handles:
        try:
            handle.close()
        except OSError as e:
            print(f"Warning: Error closing file {handle.name}: {e}", file=sys.stderr)

    # 5. Final Report
    print("\n--- Merge Complete ---")
    print(f"Successfully processed {files_processed} input files.")
    print(f"Skipped {skipped_files} input files due to errors.")
    print(f"Total bytes written: {bytes_processed}")
    print("Final approximate sizes of output files:")
    for i in range(NUM_OUTPUT_FILES):
        # Get actual final size for more accuracy than our tracker
        final_size = get_file_size(output_file_paths[i])
        size_str = f"{final_size} bytes" if final_size is not None else "Error getting size"
        print(f"  {output_file_paths[i]}: {size_str}")

if __name__ == "__main__":
    merge_files()
**How it works:** 1. **Configuration:** Sets up constants for file paths, number of output files, and chunk size for reading/writing. 2. **Read Input List:** Opens `/tmp/files`, reads each line, strips whitespace, and stores the non-empty paths in `input_file_paths`. Includes error handling if the file doesn't exist or can't be read. 3. **Prepare Output:** * Creates the `/tmp` directory if it doesn't exist. * Opens `NUM_OUTPUT_FILES` (16) output files (`/tmp/merged_0` to `/tmp/merged_15`) in binary write mode (`'wb'`). Using `'wb'` ensures that if you run the script again, it overwrites the previous output files. Binary mode is crucial to handle any kind of file content without encoding issues. * Keeps track of the file handles in `output_file_handles`. * Initializes `output_file_sizes`, a list containing the current estimated size of each output file (starts at 0). 4. **Distribute Content:** * Iterates through each `input_path` from the list. * **Get Size:** It first tries to get the size of the input file using `os.path.getsize()`. This size is used *only* for deciding which output file is currently the smallest. If the size can't be determined, the file is skipped. * **Find Target:** It finds the index (`target_index`) corresponding to the smallest value in the `output_file_sizes` list. This determines which output file will receive the content of the current input file. * **Copy Content:** * Opens the `input_path` in binary read mode (`'rb'`). * Reads the input file in chunks (`CHUNK_SIZE`) to avoid loading potentially huge files entirely into memory. * Writes each chunk to the selected `target_handle`. * **Update Size Tracker:** After successfully copying the *entire* input file, it adds the `input_size` (obtained earlier) to the corresponding element in `output_file_sizes`. This updates the estimate for the next iteration. * **Error Handling:** Includes `try...except` blocks to catch errors during file reading/writing (e.g., file not found, permissions issues) and prints warnings without stopping the entire script if possible. 5. **Cleanup:** After processing all input files, it iterates through `output_file_handles` and closes each output file. 6. **Report:** Prints a summary of processed/skipped files and the final approximate sizes of the generated output files. **To use the script:** 1. Save the code above as a Python file (e.g., `merge_script.py`). 2. Make sure your list of file paths exists at `/tmp/files`. 3. Make the script executable: `chmod +x merge_script.py` 4. Run the script: `./merge_script.py` or `python3 merge_script.py` The script will then create the 16 `merged_*.` files in `/tmp`, distributing the content from the files listed in `/tmp/files` among them.

Extract Code

I extracted the following code from that output: 

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#!/usr/bin/env python3

import os
import sys
import math

# --- Configuration ---
INPUT_LIST_FILE = "/tmp/files"
OUTPUT_DIR = "/tmp"
OUTPUT_PREFIX = "merged_"
NUM_OUTPUT_FILES = 16
CHUNK_SIZE = 1024 * 1024  # Read/write in 1MB chunks

# --- Helper Function ---
def get_file_size(filepath):
    """Safely gets the size of a file."""
    try:
        return os.path.getsize(filepath)
    except OSError as e:
        print(f"Warning: Could not get size for {filepath}: {e}", file=sys.stderr)
        return None

# --- Main Logic ---
def merge_files():
    # 1. Read the list of input file paths
    try:
        with open(INPUT_LIST_FILE, 'r') as f:
            # Read lines, strip whitespace, filter out empty lines
            input_file_paths = [line.strip() for line in f if line.strip()]
    except FileNotFoundError:
        print(f"Error: Input list file not found: {INPUT_LIST_FILE}", file=sys.stderr)
        sys.exit(1)
    except OSError as e:
        print(f"Error: Could not read input list file {INPUT_LIST_FILE}: {e}", file=sys.stderr)
        sys.exit(1)

    if not input_file_paths:
        print("Warning: Input list file is empty. No files to merge.", file=sys.stderr)
        # Create empty output files anyway? Or exit? Let's create empty ones.
        # Fall through to the output file opening logic.

    print(f"Found {len(input_file_paths)} file paths to process.")

    # 2. Prepare output files and size tracking
    output_file_handles = []
    output_file_paths = []
    # Track the current size of each output file
    output_file_sizes = [0] * NUM_OUTPUT_FILES

    try:
        os.makedirs(OUTPUT_DIR, exist_ok=True) # Ensure output directory exists
        for i in range(NUM_OUTPUT_FILES):
            path = os.path.join(OUTPUT_DIR, f"{OUTPUT_PREFIX}{i}")
            output_file_paths.append(path)
            # Open in binary append mode ('ab') or binary write ('wb')
            # 'wb' is safer if rerunning, ensuring clean slate.
            # If you need to append across runs, use 'ab'. Let's use 'wb'.
            handle = open(path, 'wb')
            output_file_handles.append(handle)
    except OSError as e:
        print(f"Error: Could not open output files in {OUTPUT_DIR}: {e}", file=sys.stderr)
        # Clean up any already opened files
        for handle in output_file_handles:
            handle.close()
        sys.exit(1)

    # 3. Process each input file and distribute content
    files_processed = 0
    bytes_processed = 0
    skipped_files = 0

    print("Starting merge process...")
    for input_path in input_file_paths:
        input_size = get_file_size(input_path)

        if input_size is None:
            print(f"Skipping file due to size error: {input_path}", file=sys.stderr)
            skipped_files += 1
            continue # Skip this file

        # Find the index of the output file that is currently smallest
        target_index = output_file_sizes.index(min(output_file_sizes))
        target_handle = output_file_handles[target_index]
        target_path = output_file_paths[target_index]

        # print(f"Adding {input_path} ({input_size} bytes) to {target_path} (current size: {output_file_sizes[target_index]})") # Verbose

        try:
            with open(input_path, 'rb') as infile:
                while True:
                    chunk = infile.read(CHUNK_SIZE)
                    if not chunk:
                        break
                    target_handle.write(chunk)
            # Update the size tracker for the target file
            output_file_sizes[target_index] += input_size
            files_processed += 1
            bytes_processed += input_size

        except FileNotFoundError:
            print(f"Warning: Input file disappeared or is not accessible: {input_path}", file=sys.stderr)
            skipped_files += 1
        except OSError as e:
            print(f"Warning: Error reading {input_path} or writing to {target_path}: {e}", file=sys.stderr)
            skipped_files += 1
        except Exception as e:
             print(f"Warning: Unexpected error processing {input_path}: {e}", file=sys.stderr)
             skipped_files += 1


    # 4. Clean up: Close all output files
    print("Closing output files...")
    for handle in output_file_handles:
        try:
            handle.close()
        except OSError as e:
            print(f"Warning: Error closing file {handle.name}: {e}", file=sys.stderr)

    # 5. Final Report
    print("\n--- Merge Complete ---")
    print(f"Successfully processed {files_processed} input files.")
    print(f"Skipped {skipped_files} input files due to errors.")
    print(f"Total bytes written: {bytes_processed}")
    print("Final approximate sizes of output files:")
    for i in range(NUM_OUTPUT_FILES):
        # Get actual final size for more accuracy than our tracker
        final_size = get_file_size(output_file_paths[i])
        size_str = f"{final_size} bytes" if final_size is not None else "Error getting size"
        print(f"  {output_file_paths[i]}: {size_str}")

if __name__ == "__main__":
    merge_files()

Run Code Interpreter

Running the following program: 

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#!/usr/bin/env python3

import os
import sys
import math

# --- Configuration ---
INPUT_LIST_FILE = "/tmp/files"
OUTPUT_DIR = "/tmp"
OUTPUT_PREFIX = "merged_"
NUM_OUTPUT_FILES = 16
CHUNK_SIZE = 1024 * 1024  # Read/write in 1MB chunks

# --- Helper Function ---
def get_file_size(filepath):
    """Safely gets the size of a file."""
    try:
        return os.path.getsize(filepath)
    except OSError as e:
        print(f"Warning: Could not get size for {filepath}: {e}", file=sys.stderr)
        return None

# --- Main Logic ---
def merge_files():
    # 1. Read the list of input file paths
    try:
        with open(INPUT_LIST_FILE, 'r') as f:
            # Read lines, strip whitespace, filter out empty lines
            input_file_paths = [line.strip() for line in f if line.strip()]
    except FileNotFoundError:
        print(f"Error: Input list file not found: {INPUT_LIST_FILE}", file=sys.stderr)
        sys.exit(1)
    except OSError as e:
        print(f"Error: Could not read input list file {INPUT_LIST_FILE}: {e}", file=sys.stderr)
        sys.exit(1)

    if not input_file_paths:
        print("Warning: Input list file is empty. No files to merge.", file=sys.stderr)
        # Create empty output files anyway? Or exit? Let's create empty ones.
        # Fall through to the output file opening logic.

    print(f"Found {len(input_file_paths)} file paths to process.")

    # 2. Prepare output files and size tracking
    output_file_handles = []
    output_file_paths = []
    # Track the current size of each output file
    output_file_sizes = [0] * NUM_OUTPUT_FILES

    try:
        os.makedirs(OUTPUT_DIR, exist_ok=True) # Ensure output directory exists
        for i in range(NUM_OUTPUT_FILES):
            path = os.path.join(OUTPUT_DIR, f"{OUTPUT_PREFIX}{i}")
            output_file_paths.append(path)
            # Open in binary append mode ('ab') or binary write ('wb')
            # 'wb' is safer if rerunning, ensuring clean slate.
            # If you need to append across runs, use 'ab'. Let's use 'wb'.
            handle = open(path, 'wb')
            output_file_handles.append(handle)
    except OSError as e:
        print(f"Error: Could not open output files in {OUTPUT_DIR}: {e}", file=sys.stderr)
        # Clean up any already opened files
        for handle in output_file_handles:
            handle.close()
        sys.exit(1)

    # 3. Process each input file and distribute content
    files_processed = 0
    bytes_processed = 0
    skipped_files = 0

    print("Starting merge process...")
    for input_path in input_file_paths:
        input_size = get_file_size(input_path)

        if input_size is None:
            print(f"Skipping file due to size error: {input_path}", file=sys.stderr)
            skipped_files += 1
            continue # Skip this file

        # Find the index of the output file that is currently smallest
        target_index = output_file_sizes.index(min(output_file_sizes))
        target_handle = output_file_handles[target_index]
        target_path = output_file_paths[target_index]

        # print(f"Adding {input_path} ({input_size} bytes) to {target_path} (current size: {output_file_sizes[target_index]})") # Verbose

        try:
            with open(input_path, 'rb') as infile:
                while True:
                    chunk = infile.read(CHUNK_SIZE)
                    if not chunk:
                        break
                    target_handle.write(chunk)
            # Update the size tracker for the target file
            output_file_sizes[target_index] += input_size
            files_processed += 1
            bytes_processed += input_size

        except FileNotFoundError:
            print(f"Warning: Input file disappeared or is not accessible: {input_path}", file=sys.stderr)
            skipped_files += 1
        except OSError as e:
            print(f"Warning: Error reading {input_path} or writing to {target_path}: {e}", file=sys.stderr)
            skipped_files += 1
        except Exception as e:
             print(f"Warning: Unexpected error processing {input_path}: {e}", file=sys.stderr)
             skipped_files += 1


    # 4. Clean up: Close all output files
    print("Closing output files...")
    for handle in output_file_handles:
        try:
            handle.close()
        except OSError as e:
            print(f"Warning: Error closing file {handle.name}: {e}", file=sys.stderr)

    # 5. Final Report
    print("\n--- Merge Complete ---")
    print(f"Successfully processed {files_processed} input files.")
    print(f"Skipped {skipped_files} input files due to errors.")
    print(f"Total bytes written: {bytes_processed}")
    print("Final approximate sizes of output files:")
    for i in range(NUM_OUTPUT_FILES):
        # Get actual final size for more accuracy than our tracker
        final_size = get_file_size(output_file_paths[i])
        size_str = f"{final_size} bytes" if final_size is not None else "Error getting size"
        print(f"  {output_file_paths[i]}: {size_str}")

if __name__ == "__main__":
    merge_files()
And got the output: Found 1000 file paths to process. Starting merge process... Closing output files... --- Merge Complete --- Successfully processed 1000 input files. Skipped 0 input files due to errors. Total bytes written: 581964 Final approximate sizes of output files: /tmp/merged_0: 36070 bytes /tmp/merged_1: 36056 bytes /tmp/merged_2: 36477 bytes /tmp/merged_3: 36281 bytes /tmp/merged_4: 36502 bytes /tmp/merged_5: 36354 bytes /tmp/merged_6: 36612 bytes /tmp/merged_7: 36175 bytes /tmp/merged_8: 36461 bytes /tmp/merged_9: 36373 bytes /tmp/merged_10: 36943 bytes /tmp/merged_11: 36387 bytes /tmp/merged_12: 36457 bytes /tmp/merged_13: 36104 bytes /tmp/merged_14: 36453 bytes /tmp/merged_15: 36259 bytes

PyFunc

final: False Resulting in output: False