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

To merge the content of several thousand files into 16 files with approximately equal sizes, you can write a Python script that reads the file paths from `/tmp/files`, calculates how many files should go into each of the 16 output files, and then writes the contents accordingly. Here's a sample Python script to achieve this: 

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import os

def merge_files(file_paths, num_output_files=16):
    # Create an empty list to hold the content of each output file
    output_contents = [[] for _ in range(num_output_files)]
    
    # Initialize a variable to keep track of the current output file index
    current_file_index = 0
    total_files = len(file_paths)

    # Distribute the files among the output files
    for i, file_path in enumerate(file_paths):
        # Read the content of the current file
        try:
            with open(file_path, 'r') as f:
                content = f.read()
            output_contents[current_file_index].append(content)
        except Exception as e:
            print(f"Could not read file {file_path}: {e}")
            continue

        # Update the current file index, ensuring we cycle through 0 to num_output_files - 1
        current_file_index = (current_file_index + 1) % num_output_files

    # Write the collected contents to the output files
    for i in range(num_output_files):
        output_file_path = f'/tmp/merged_{i}'
        with open(output_file_path, 'w') as f:
            f.write('\n'.join(output_contents[i]))
        print(f"Wrote {len(output_contents[i])} files to {output_file_path}")

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

    merge_files(file_paths)

if __name__ == '__main__':
    main()
### Explanation: 1. **Reading File Paths**: The script reads the list of file paths from `/tmp/files`. Each line in the file is treated as a file path. 2. **Distributing Content**: It initializes a list of empty lists (`output_contents`) to hold the content for each of the 16 output files. It reads each file's content and appends it to one of the output lists in a round-robin fashion. 3. **Writing Output Files**: Finally, it writes the collected content into 16 output files (`/tmp/merged_0` to `/tmp/merged_15`). Each output file contains the contents of the files assigned to it. ### Note: - Ensure that the files in `/tmp/files` are accessible and that you have the necessary permissions to read them. - This script assumes that the files are text files. If the files contain binary data, you'll need to adjust the reading and writing methods accordingly.

Extract Code

I extracted the following code from that output: 

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import os

def merge_files(file_paths, num_output_files=16):
    # Create an empty list to hold the content of each output file
    output_contents = [[] for _ in range(num_output_files)]
    
    # Initialize a variable to keep track of the current output file index
    current_file_index = 0
    total_files = len(file_paths)

    # Distribute the files among the output files
    for i, file_path in enumerate(file_paths):
        # Read the content of the current file
        try:
            with open(file_path, 'r') as f:
                content = f.read()
            output_contents[current_file_index].append(content)
        except Exception as e:
            print(f"Could not read file {file_path}: {e}")
            continue

        # Update the current file index, ensuring we cycle through 0 to num_output_files - 1
        current_file_index = (current_file_index + 1) % num_output_files

    # Write the collected contents to the output files
    for i in range(num_output_files):
        output_file_path = f'/tmp/merged_{i}'
        with open(output_file_path, 'w') as f:
            f.write('\n'.join(output_contents[i]))
        print(f"Wrote {len(output_contents[i])} files to {output_file_path}")

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

    merge_files(file_paths)

if __name__ == '__main__':
    main()

Run Code Interpreter

Running the following program: 

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import os

def merge_files(file_paths, num_output_files=16):
    # Create an empty list to hold the content of each output file
    output_contents = [[] for _ in range(num_output_files)]
    
    # Initialize a variable to keep track of the current output file index
    current_file_index = 0
    total_files = len(file_paths)

    # Distribute the files among the output files
    for i, file_path in enumerate(file_paths):
        # Read the content of the current file
        try:
            with open(file_path, 'r') as f:
                content = f.read()
            output_contents[current_file_index].append(content)
        except Exception as e:
            print(f"Could not read file {file_path}: {e}")
            continue

        # Update the current file index, ensuring we cycle through 0 to num_output_files - 1
        current_file_index = (current_file_index + 1) % num_output_files

    # Write the collected contents to the output files
    for i in range(num_output_files):
        output_file_path = f'/tmp/merged_{i}'
        with open(output_file_path, 'w') as f:
            f.write('\n'.join(output_contents[i]))
        print(f"Wrote {len(output_contents[i])} files to {output_file_path}")

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

    merge_files(file_paths)

if __name__ == '__main__':
    main()
And got the output: Wrote 63 files to /tmp/merged_0 Wrote 63 files to /tmp/merged_1 Wrote 63 files to /tmp/merged_2 Wrote 63 files to /tmp/merged_3 Wrote 63 files to /tmp/merged_4 Wrote 63 files to /tmp/merged_5 Wrote 63 files to /tmp/merged_6 Wrote 63 files to /tmp/merged_7 Wrote 62 files to /tmp/merged_8 Wrote 62 files to /tmp/merged_9 Wrote 62 files to /tmp/merged_10 Wrote 62 files to /tmp/merged_11 Wrote 62 files to /tmp/merged_12 Wrote 62 files to /tmp/merged_13 Wrote 62 files to /tmp/merged_14 Wrote 62 files to /tmp/merged_15

PyFunc

final: False Resulting in output: False

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

Certainly! Below is a Python script that reads file paths from `/tmp/files`, merges their contents, and distributes them into 16 output files named `/tmp/merged_0` to `/tmp/merged_15`. Each output file will approximately have the same size. 

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import os
import math

# Constants
input_file_list = '/tmp/files'  # Path to the file that contains the list of file paths
num_output_files = 16  # Number of output files to create

def read_file_paths(file_list_path):
    """Read file paths from the given file."""
    with open(file_list_path, 'r') as f:
        return [line.strip() for line in f if line.strip()]

def get_file_sizes(file_paths):
    """Get sizes of the files in bytes."""
    sizes = []
    for path in file_paths:
        try:
            sizes.append(os.path.getsize(path))
        except OSError:
            sizes.append(0)  # If the file doesn't exist, we can treat it as size 0
    return sizes

def merge_files(file_paths, chunk_size):
    """Merge the contents of the files into chunks."""
    merged_contents = [''] * num_output_files
    current_sizes = [0] * num_output_files  # Keep track of current sizes of merged files

    for path in file_paths:
        try:
            with open(path, 'r') as f:
                content = f.read()

            # Find the index of the output file to which this content should go
            target_index = current_sizes.index(min(current_sizes))
            merged_contents[target_index] += content
            current_sizes[target_index] += len(content)

        except Exception as e:
            print(f"Error reading {path}: {e}")

    return merged_contents

def write_output_files(merged_contents):
    """Write the merged contents to output files."""
    for i in range(num_output_files):
        output_file_path = f'/tmp/merged_{i}'
        with open(output_file_path, 'w') as f:
            f.write(merged_contents[i])

def main():
    # Step 1: Read file paths
    file_paths = read_file_paths(input_file_list)

    # Step 2: Get sizes of the files (for potential balancing)
    file_sizes = get_file_sizes(file_paths)

    # Step 3: Merge files into approximately equal sizes
    merged_contents = merge_files(file_paths, file_sizes)

    # Step 4: Write the merged contents to output files
    write_output_files(merged_contents)

    print("Merging complete.")

if __name__ == '__main__':
    main()
### Explanation: 1. **Read File Paths**: The script reads the file paths from `/tmp/files`. 2. **Get File Sizes**: It retrieves the sizes of each file to help determine where to allocate content. 3. **Merge Files**: It loops through each file, reads the content, and appends it to one of the 16 output files based on the current size of each output file. 4. **Write Output Files**: Finally, it writes the merged contents to the respective output files. ### Notes: - Make sure that the file paths listed in `/tmp/files` are accessible to the script. - The script handles exceptions when reading files, so it won't stop if a file is missing or unreadable. - Adjust the error handling as necessary for your specific use case (e.g., logging errors, raising exceptions, etc.).

Extract Code

I extracted the following code from that output: 

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import os
import math

# Constants
input_file_list = '/tmp/files'  # Path to the file that contains the list of file paths
num_output_files = 16  # Number of output files to create

def read_file_paths(file_list_path):
    """Read file paths from the given file."""
    with open(file_list_path, 'r') as f:
        return [line.strip() for line in f if line.strip()]

def get_file_sizes(file_paths):
    """Get sizes of the files in bytes."""
    sizes = []
    for path in file_paths:
        try:
            sizes.append(os.path.getsize(path))
        except OSError:
            sizes.append(0)  # If the file doesn't exist, we can treat it as size 0
    return sizes

def merge_files(file_paths, chunk_size):
    """Merge the contents of the files into chunks."""
    merged_contents = [''] * num_output_files
    current_sizes = [0] * num_output_files  # Keep track of current sizes of merged files

    for path in file_paths:
        try:
            with open(path, 'r') as f:
                content = f.read()

            # Find the index of the output file to which this content should go
            target_index = current_sizes.index(min(current_sizes))
            merged_contents[target_index] += content
            current_sizes[target_index] += len(content)

        except Exception as e:
            print(f"Error reading {path}: {e}")

    return merged_contents

def write_output_files(merged_contents):
    """Write the merged contents to output files."""
    for i in range(num_output_files):
        output_file_path = f'/tmp/merged_{i}'
        with open(output_file_path, 'w') as f:
            f.write(merged_contents[i])

def main():
    # Step 1: Read file paths
    file_paths = read_file_paths(input_file_list)

    # Step 2: Get sizes of the files (for potential balancing)
    file_sizes = get_file_sizes(file_paths)

    # Step 3: Merge files into approximately equal sizes
    merged_contents = merge_files(file_paths, file_sizes)

    # Step 4: Write the merged contents to output files
    write_output_files(merged_contents)

    print("Merging complete.")

if __name__ == '__main__':
    main()

Run Code Interpreter

Running the following program: 

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import os
import math

# Constants
input_file_list = '/tmp/files'  # Path to the file that contains the list of file paths
num_output_files = 16  # Number of output files to create

def read_file_paths(file_list_path):
    """Read file paths from the given file."""
    with open(file_list_path, 'r') as f:
        return [line.strip() for line in f if line.strip()]

def get_file_sizes(file_paths):
    """Get sizes of the files in bytes."""
    sizes = []
    for path in file_paths:
        try:
            sizes.append(os.path.getsize(path))
        except OSError:
            sizes.append(0)  # If the file doesn't exist, we can treat it as size 0
    return sizes

def merge_files(file_paths, chunk_size):
    """Merge the contents of the files into chunks."""
    merged_contents = [''] * num_output_files
    current_sizes = [0] * num_output_files  # Keep track of current sizes of merged files

    for path in file_paths:
        try:
            with open(path, 'r') as f:
                content = f.read()

            # Find the index of the output file to which this content should go
            target_index = current_sizes.index(min(current_sizes))
            merged_contents[target_index] += content
            current_sizes[target_index] += len(content)

        except Exception as e:
            print(f"Error reading {path}: {e}")

    return merged_contents

def write_output_files(merged_contents):
    """Write the merged contents to output files."""
    for i in range(num_output_files):
        output_file_path = f'/tmp/merged_{i}'
        with open(output_file_path, 'w') as f:
            f.write(merged_contents[i])

def main():
    # Step 1: Read file paths
    file_paths = read_file_paths(input_file_list)

    # Step 2: Get sizes of the files (for potential balancing)
    file_sizes = get_file_sizes(file_paths)

    # Step 3: Merge files into approximately equal sizes
    merged_contents = merge_files(file_paths, file_sizes)

    # Step 4: Write the merged contents to output files
    write_output_files(merged_contents)

    print("Merging complete.")

if __name__ == '__main__':
    main()
And got the output: Merging complete.

PyFunc

final: False Resulting in output: False

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

You can achieve this by reading the list of file paths from `/tmp/files`, distributing the contents of these files evenly across 16 output files (`/tmp/merged_0` to `/tmp/merged_15`), and writing the accumulated content to these output files. Here’s a Python script that accomplishes this: 

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import os

def merge_files(input_file, num_output_files=16):
    # Read all file paths from the input file
    with open(input_file, 'r') as f:
        file_paths = [line.strip() for line in f if line.strip()]

    # Create output files
    output_files = [open(f'/tmp/merged_{i}', 'w') for i in range(num_output_files)]
    
    try:
        # Distribute file contents across output files
        for index, file_path in enumerate(file_paths):
            if os.path.isfile(file_path):  # Check if the file exists
                with open(file_path, 'r') as input_file:
                    content = input_file.read()
                    # Determine which output file to write to
                    output_index = index % num_output_files
                    output_files[output_index].write(content + '\n')  # Add a newline for separation
            else:
                print(f"Warning: {file_path} does not exist and will be skipped.")
    finally:
        # Close all output files
        for output_file in output_files:
            output_file.close()

if __name__ == "__main__":
    input_file_path = '/tmp/files'
    merge_files(input_file_path)
### Explanation: 1. **Reading Input:** The script reads all file paths from `/tmp/files`, ensuring to strip any whitespace and skip empty lines. 2. **Creating Output Files:** It creates 16 output files named `/tmp/merged_0` to `/tmp/merged_15`. 3. **Distributing Content:** It iterates over each file path: - If the file exists, it reads the content and writes it to one of the output files based on the current index modulo the number of output files. - If a file does not exist, it prints a warning and skips to the next file. 4. **Closing Files:** Finally, it ensures all output files are closed properly. ### Usage: - Ensure that the script has permission to read from `/tmp/files` and write to `/tmp/`. - Run the script in a Python environment where you have access to the necessary files. This will balance the content across the 16 output files as evenly as possible.

Extract Code

I extracted the following code from that output: 

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import os

def merge_files(input_file, num_output_files=16):
    # Read all file paths from the input file
    with open(input_file, 'r') as f:
        file_paths = [line.strip() for line in f if line.strip()]

    # Create output files
    output_files = [open(f'/tmp/merged_{i}', 'w') for i in range(num_output_files)]
    
    try:
        # Distribute file contents across output files
        for index, file_path in enumerate(file_paths):
            if os.path.isfile(file_path):  # Check if the file exists
                with open(file_path, 'r') as input_file:
                    content = input_file.read()
                    # Determine which output file to write to
                    output_index = index % num_output_files
                    output_files[output_index].write(content + '\n')  # Add a newline for separation
            else:
                print(f"Warning: {file_path} does not exist and will be skipped.")
    finally:
        # Close all output files
        for output_file in output_files:
            output_file.close()

if __name__ == "__main__":
    input_file_path = '/tmp/files'
    merge_files(input_file_path)

Run Code Interpreter

Running the following program: 

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import os

def merge_files(input_file, num_output_files=16):
    # Read all file paths from the input file
    with open(input_file, 'r') as f:
        file_paths = [line.strip() for line in f if line.strip()]

    # Create output files
    output_files = [open(f'/tmp/merged_{i}', 'w') for i in range(num_output_files)]
    
    try:
        # Distribute file contents across output files
        for index, file_path in enumerate(file_paths):
            if os.path.isfile(file_path):  # Check if the file exists
                with open(file_path, 'r') as input_file:
                    content = input_file.read()
                    # Determine which output file to write to
                    output_index = index % num_output_files
                    output_files[output_index].write(content + '\n')  # Add a newline for separation
            else:
                print(f"Warning: {file_path} does not exist and will be skipped.")
    finally:
        # Close all output files
        for output_file in output_files:
            output_file.close()

if __name__ == "__main__":
    input_file_path = '/tmp/files'
    merge_files(input_file_path)
And got the output:

PyFunc

final: False Resulting in output: False

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

To merge the content of files listed in `/tmp/files` into 16 output files named `/tmp/merged_0` through `/tmp/merged_15`, you can use the following Python script. This script reads the file paths, divides the total content into 16 approximately equal parts, and then writes each part to the corresponding output file. Here’s a sample script to achieve this: 

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import os

def merge_files(input_file_path, output_dir, num_files=16):
    # Read all file paths from the input file
    with open(input_file_path, 'r') as file:
        file_paths = [line.strip() for line in file if line.strip()]

    # Store content of each file
    contents = []
    for path in file_paths:
        if os.path.isfile(path):  # Check if the path is a file
            with open(path, 'r') as f:
                contents.append(f.read())

    # Calculate total content length and the size for each output file
    total_content = ''.join(contents)
    total_length = len(total_content)
    chunk_size = total_length // num_files
    
    # Split content into chunks and write them to output files
    for i in range(num_files):
        start_index = i * chunk_size
        # If it's the last file, take all remaining content
        if i == num_files - 1:
            chunk = total_content[start_index:]
        else:
            chunk = total_content[start_index:start_index + chunk_size]
        
        # Create output file and write the chunk
        output_file_path = os.path.join(output_dir, f'merged_{i}')
        with open(output_file_path, 'w') as output_file:
            output_file.write(chunk)

if __name__ == "__main__":
    input_file_path = '/tmp/files'
    output_dir = '/tmp'
    merge_files(input_file_path, output_dir)
### Explanation: 1. **Reading File Paths**: The script reads file paths from the file located at `/tmp/files`. Each line is stripped of whitespace. 2. **Reading File Contents**: It checks whether each path is a valid file before reading its content. 3. **Merging Logic**: All content is concatenated into a single string. The total length is calculated, and the content is divided into 16 chunks. 4. **Writing to Output Files**: Each chunk is written to a corresponding output file in `/tmp`, named `merged_0`, `merged_1`, ..., `merged_15`. ### Usage: - Make sure the script has permission to read the files listed in `/tmp/files` and to write to `/tmp`. - Run the script in a Python environment. ### Note: - If the total content length is not perfectly divisible by 16, the last file will contain the remainder of the content.

Extract Code

I extracted the following code from that output: 

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import os

def merge_files(input_file_path, output_dir, num_files=16):
    # Read all file paths from the input file
    with open(input_file_path, 'r') as file:
        file_paths = [line.strip() for line in file if line.strip()]

    # Store content of each file
    contents = []
    for path in file_paths:
        if os.path.isfile(path):  # Check if the path is a file
            with open(path, 'r') as f:
                contents.append(f.read())

    # Calculate total content length and the size for each output file
    total_content = ''.join(contents)
    total_length = len(total_content)
    chunk_size = total_length // num_files
    
    # Split content into chunks and write them to output files
    for i in range(num_files):
        start_index = i * chunk_size
        # If it's the last file, take all remaining content
        if i == num_files - 1:
            chunk = total_content[start_index:]
        else:
            chunk = total_content[start_index:start_index + chunk_size]
        
        # Create output file and write the chunk
        output_file_path = os.path.join(output_dir, f'merged_{i}')
        with open(output_file_path, 'w') as output_file:
            output_file.write(chunk)

if __name__ == "__main__":
    input_file_path = '/tmp/files'
    output_dir = '/tmp'
    merge_files(input_file_path, output_dir)

Run Code Interpreter

Running the following program: 

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import os

def merge_files(input_file_path, output_dir, num_files=16):
    # Read all file paths from the input file
    with open(input_file_path, 'r') as file:
        file_paths = [line.strip() for line in file if line.strip()]

    # Store content of each file
    contents = []
    for path in file_paths:
        if os.path.isfile(path):  # Check if the path is a file
            with open(path, 'r') as f:
                contents.append(f.read())

    # Calculate total content length and the size for each output file
    total_content = ''.join(contents)
    total_length = len(total_content)
    chunk_size = total_length // num_files
    
    # Split content into chunks and write them to output files
    for i in range(num_files):
        start_index = i * chunk_size
        # If it's the last file, take all remaining content
        if i == num_files - 1:
            chunk = total_content[start_index:]
        else:
            chunk = total_content[start_index:start_index + chunk_size]
        
        # Create output file and write the chunk
        output_file_path = os.path.join(output_dir, f'merged_{i}')
        with open(output_file_path, 'w') as output_file:
            output_file.write(chunk)

if __name__ == "__main__":
    input_file_path = '/tmp/files'
    output_dir = '/tmp'
    merge_files(input_file_path, output_dir)
And got the output:

PyFunc

final: True Resulting in output: True

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

You can use the following Python script to read the file paths from `/tmp/files`, distribute the content evenly across 16 output files, and then write the combined content into these files. Each output file will be named `/tmp/merged_0` to `/tmp/merged_15`. Here's a script that accomplishes this: 

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import os

def merge_files(input_file, num_output_files=16):
    # Read the list of file paths from the input file
    with open(input_file, 'r') as f:
        file_paths = f.read().splitlines()

    # Create a list of empty content for each output file
    merged_contents = ['' for _ in range(num_output_files)]

    # Distribute the content across the output files
    for i, file_path in enumerate(file_paths):
        if os.path.exists(file_path):
            with open(file_path, 'r') as f:
                content = f.read()
                merged_contents[i % num_output_files] += content + "\n"  # Add newline for separation
        else:
            print(f"Warning: {file_path} does not exist and will be skipped.")

    # Write the merged content to the output files
    for i in range(num_output_files):
        with open(f'/tmp/merged_{i}', 'w') as f:
            f.write(merged_contents[i])

if __name__ == '__main__':
    merge_files('/tmp/files')
### Explanation: 1. **Reading File Paths**: The script reads the file paths from `/tmp/files`, which are assumed to be listed one per line. 2. **Initializing Output**: It initializes an empty list `merged_contents` to store the content for each of the 16 output files. 3. **Distributing Content**: It iterates through each file path, checks if the file exists, and reads its content. The content is distributed to one of the 16 output files using the modulo operator (`%`). 4. **Writing Output Files**: After collecting the content, it writes the contents into `/tmp/merged_0` to `/tmp/merged_15`. ### Usage: 1. Save the script to a file, for example, `merge_files.py`. 2. Ensure that the script has the necessary permissions to read the input file and write to the output directory. 3. Run the script using Python: 
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python merge_files.py
### Note: Make sure to handle large files appropriately and monitor memory usage if the files are very large, as this method reads all content into memory. If you're dealing with a massive amount of data, consider reading and writing in chunks or using more advanced file-handling techniques.

Extract Code

I extracted the following code from that output: 

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import os

def merge_files(input_file, num_output_files=16):
    # Read the list of file paths from the input file
    with open(input_file, 'r') as f:
        file_paths = f.read().splitlines()

    # Create a list of empty content for each output file
    merged_contents = ['' for _ in range(num_output_files)]

    # Distribute the content across the output files
    for i, file_path in enumerate(file_paths):
        if os.path.exists(file_path):
            with open(file_path, 'r') as f:
                content = f.read()
                merged_contents[i % num_output_files] += content + "\n"  # Add newline for separation
        else:
            print(f"Warning: {file_path} does not exist and will be skipped.")

    # Write the merged content to the output files
    for i in range(num_output_files):
        with open(f'/tmp/merged_{i}', 'w') as f:
            f.write(merged_contents[i])

if __name__ == '__main__':
    merge_files('/tmp/files')

Run Code Interpreter

Running the following program: 

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import os

def merge_files(input_file, num_output_files=16):
    # Read the list of file paths from the input file
    with open(input_file, 'r') as f:
        file_paths = f.read().splitlines()

    # Create a list of empty content for each output file
    merged_contents = ['' for _ in range(num_output_files)]

    # Distribute the content across the output files
    for i, file_path in enumerate(file_paths):
        if os.path.exists(file_path):
            with open(file_path, 'r') as f:
                content = f.read()
                merged_contents[i % num_output_files] += content + "\n"  # Add newline for separation
        else:
            print(f"Warning: {file_path} does not exist and will be skipped.")

    # Write the merged content to the output files
    for i in range(num_output_files):
        with open(f'/tmp/merged_{i}', 'w') as f:
            f.write(merged_contents[i])

if __name__ == '__main__':
    merge_files('/tmp/files')
And got the output:

PyFunc

final: False Resulting in output: False