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 achieve this task, you can follow these steps: 1. Read the list of file paths from "/tmp/files". 2. Determine the size of each file to get an idea of how to distribute them evenly. 3. Merge the files into 16 approximately equal-sized output files. Here's a Python script to accomplish this: 

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import os

# Function to get file sizes
def get_file_sizes(file_paths):
    file_sizes = {}
    for file_path in file_paths:
        file_sizes[file_path] = os.path.getsize(file_path)
    return file_sizes

# Function to distribute files into approximately equal-sized groups
def distribute_files(file_sizes, num_groups):
    total_size = sum(file_sizes.values())
    target_size = total_size / num_groups
    groups = [[] for _ in range(num_groups)]
    group_sizes = [0] * num_groups

    for file_path, size in sorted(file_sizes.items(), key=lambda item: item[1], reverse=True):
        min_group_index = group_sizes.index(min(group_sizes))
        groups[min_group_index].append(file_path)
        group_sizes[min_group_index] += size

    return groups

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

# Get file sizes
file_sizes = get_file_sizes(file_paths)

# Distribute files into 16 groups
num_groups = 16
file_groups = distribute_files(file_sizes, num_groups)

# Merge files in each group
for i, group in enumerate(file_groups):
    output_file_path = f"/tmp/merged_{i}"
    with open(output_file_path, "wb") as output_file:
        for file_path in group:
            with open(file_path, "rb") as input_file:
                output_file.write(input_file.read())

print("Merging complete.")
### Explanation 1. **Reading File Paths**: The script reads the file paths from `/tmp/files`. 2. **Getting File Sizes**: It calculates the size of each file using `os.path.getsize()`. 3. **Distributing Files**: The files are distributed into 16 groups based on their sizes to ensure each group has approximately the same total size. 4. **Merging Files**: The content of the files in each group is merged and written to the respective output file. This script ensures that the merged files are approximately equal in size by distributing larger files first and balancing the total sizes of each group.

Extract Code

I extracted the following code from that output: 

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import os

# Function to get file sizes
def get_file_sizes(file_paths):
    file_sizes = {}
    for file_path in file_paths:
        file_sizes[file_path] = os.path.getsize(file_path)
    return file_sizes

# Function to distribute files into approximately equal-sized groups
def distribute_files(file_sizes, num_groups):
    total_size = sum(file_sizes.values())
    target_size = total_size / num_groups
    groups = [[] for _ in range(num_groups)]
    group_sizes = [0] * num_groups

    for file_path, size in sorted(file_sizes.items(), key=lambda item: item[1], reverse=True):
        min_group_index = group_sizes.index(min(group_sizes))
        groups[min_group_index].append(file_path)
        group_sizes[min_group_index] += size

    return groups

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

# Get file sizes
file_sizes = get_file_sizes(file_paths)

# Distribute files into 16 groups
num_groups = 16
file_groups = distribute_files(file_sizes, num_groups)

# Merge files in each group
for i, group in enumerate(file_groups):
    output_file_path = f"/tmp/merged_{i}"
    with open(output_file_path, "wb") as output_file:
        for file_path in group:
            with open(file_path, "rb") as input_file:
                output_file.write(input_file.read())

print("Merging complete.")

Run Code Interpreter

Running the following program: 

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import os

# Function to get file sizes
def get_file_sizes(file_paths):
    file_sizes = {}
    for file_path in file_paths:
        file_sizes[file_path] = os.path.getsize(file_path)
    return file_sizes

# Function to distribute files into approximately equal-sized groups
def distribute_files(file_sizes, num_groups):
    total_size = sum(file_sizes.values())
    target_size = total_size / num_groups
    groups = [[] for _ in range(num_groups)]
    group_sizes = [0] * num_groups

    for file_path, size in sorted(file_sizes.items(), key=lambda item: item[1], reverse=True):
        min_group_index = group_sizes.index(min(group_sizes))
        groups[min_group_index].append(file_path)
        group_sizes[min_group_index] += size

    return groups

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

# Get file sizes
file_sizes = get_file_sizes(file_paths)

# Distribute files into 16 groups
num_groups = 16
file_groups = distribute_files(file_sizes, num_groups)

# Merge files in each group
for i, group in enumerate(file_groups):
    output_file_path = f"/tmp/merged_{i}"
    with open(output_file_path, "wb") as output_file:
        for file_path in group:
            with open(file_path, "rb") as input_file:
                output_file.write(input_file.read())

print("Merging complete.")
And got the output: Merging complete.

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

To achieve this task, you can follow these steps with the given Python script: 1. Read the file paths from `/tmp/files`. 2. Calculate the total size of all files. 3. Determine the approximate size for each of the 16 merged files. 4. Distribute the file content into 16 merged files while keeping the sizes approximately equal. Here is a Python script that does this: 

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import os

def get_file_paths(file_list_path):
    with open(file_list_path, 'r') as f:
        file_paths = [line.strip() for line in f]
    return file_paths

def get_file_size(file_path):
    return os.path.getsize(file_path)

def merge_files(file_paths, output_path):
    with open(output_path, 'wb') as outfile:
        for file_path in file_paths:
            with open(file_path, 'rb') as infile:
                outfile.write(infile.read())

def main():
    file_list_path = '/tmp/files'
    merged_base_path = '/tmp/merged_'
    num_merged_files = 16
    
    # Get all file paths
    file_paths = get_file_paths(file_list_path)
    
    # Calculate total size of all files
    total_size = sum(get_file_size(fp) for fp in file_paths)
    
    # Calculate the approximate size for each merged file
    target_size_per_file = total_size // num_merged_files
    
    # Distribute files into 16 merged files
    current_size = 0
    current_file_list = []
    merged_file_index = 0
    
    for file_path in file_paths:
        file_size = get_file_size(file_path)
        
        if current_size + file_size > target_size_per_file and merged_file_index < num_merged_files - 1:
            # Merge the current list of files into one merged file
            merge_files(current_file_list, f'{merged_base_path}{merged_file_index}')
            
            # Reset for the next merged file
            current_size = 0
            current_file_list = []
            merged_file_index += 1
        
        current_file_list.append(file_path)
        current_size += file_size
    
    # Merge any remaining files into the last merged file
    if current_file_list:
        merge_files(current_file_list, f'{merged_base_path}{merged_file_index}')

if __name__ == '__main__':
    main()
### Explanation: 1. **get_file_paths**: Reads the list of file paths from `/tmp/files`. 2. **get_file_size**: Returns the size of a given file. 3. **merge_files**: Merges a list of files into a single output file. 4. **main**: The main function coordinates the merging process: - Reads all file paths. - Computes the total size of all files. - Determines the target size per merged file. - Iterates through the list of files, accumulating them into groups that are close to the target size. - When the accumulated size reaches the target, it writes out a merged file and starts a new group. - Handles the last group of files by writing them to the final merged file. ### Note: - Depending on the available memory and system constraints, you might need to adjust the script to handle large files more efficiently, such as reading and writing in chunks rather than loading entire files into memory. This script provides a balanced approach to merging a large number of files into a specified number of merged files with approximately equal sizes.

Extract Code

I extracted the following code from that output: 

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import os

def get_file_paths(file_list_path):
    with open(file_list_path, 'r') as f:
        file_paths = [line.strip() for line in f]
    return file_paths

def get_file_size(file_path):
    return os.path.getsize(file_path)

def merge_files(file_paths, output_path):
    with open(output_path, 'wb') as outfile:
        for file_path in file_paths:
            with open(file_path, 'rb') as infile:
                outfile.write(infile.read())

def main():
    file_list_path = '/tmp/files'
    merged_base_path = '/tmp/merged_'
    num_merged_files = 16
    
    # Get all file paths
    file_paths = get_file_paths(file_list_path)
    
    # Calculate total size of all files
    total_size = sum(get_file_size(fp) for fp in file_paths)
    
    # Calculate the approximate size for each merged file
    target_size_per_file = total_size // num_merged_files
    
    # Distribute files into 16 merged files
    current_size = 0
    current_file_list = []
    merged_file_index = 0
    
    for file_path in file_paths:
        file_size = get_file_size(file_path)
        
        if current_size + file_size > target_size_per_file and merged_file_index < num_merged_files - 1:
            # Merge the current list of files into one merged file
            merge_files(current_file_list, f'{merged_base_path}{merged_file_index}')
            
            # Reset for the next merged file
            current_size = 0
            current_file_list = []
            merged_file_index += 1
        
        current_file_list.append(file_path)
        current_size += file_size
    
    # Merge any remaining files into the last merged file
    if current_file_list:
        merge_files(current_file_list, f'{merged_base_path}{merged_file_index}')

if __name__ == '__main__':
    main()

Run Code Interpreter

Running the following program: 

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import os

def get_file_paths(file_list_path):
    with open(file_list_path, 'r') as f:
        file_paths = [line.strip() for line in f]
    return file_paths

def get_file_size(file_path):
    return os.path.getsize(file_path)

def merge_files(file_paths, output_path):
    with open(output_path, 'wb') as outfile:
        for file_path in file_paths:
            with open(file_path, 'rb') as infile:
                outfile.write(infile.read())

def main():
    file_list_path = '/tmp/files'
    merged_base_path = '/tmp/merged_'
    num_merged_files = 16
    
    # Get all file paths
    file_paths = get_file_paths(file_list_path)
    
    # Calculate total size of all files
    total_size = sum(get_file_size(fp) for fp in file_paths)
    
    # Calculate the approximate size for each merged file
    target_size_per_file = total_size // num_merged_files
    
    # Distribute files into 16 merged files
    current_size = 0
    current_file_list = []
    merged_file_index = 0
    
    for file_path in file_paths:
        file_size = get_file_size(file_path)
        
        if current_size + file_size > target_size_per_file and merged_file_index < num_merged_files - 1:
            # Merge the current list of files into one merged file
            merge_files(current_file_list, f'{merged_base_path}{merged_file_index}')
            
            # Reset for the next merged file
            current_size = 0
            current_file_list = []
            merged_file_index += 1
        
        current_file_list.append(file_path)
        current_size += file_size
    
    # Merge any remaining files into the last merged file
    if current_file_list:
        merge_files(current_file_list, f'{merged_base_path}{merged_file_index}')

if __name__ == '__main__':
    main()
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 achieve this task, we need to perform the following steps in the Python script: 1. Read the file paths from `/tmp/files`. 2. Determine the total size of all files. 3. Calculate the approximate target size for each of the 16 merged files. 4. Distribute the file contents into the 16 merged files such that each merged file is approximately the target size. Here is a Python script that accomplishes this: 

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import os

def get_file_paths(file_list_path):
    """Read the list of file paths from the given file and return them as a list."""
    with open(file_list_path, 'r') as f:
        file_paths = f.read().splitlines()
    return file_paths

def get_total_size(file_paths):
    """Calculate the total size of all the files in the list."""
    total_size = 0
    for file_path in file_paths:
        total_size += os.path.getsize(file_path)
    return total_size

def merge_files(file_paths, num_merge_files, output_prefix):
    """Merge the files into the specified number of output files."""
    total_size = get_total_size(file_paths)
    target_size = total_size // num_merge_files
    current_size = 0
    current_file_index = 0
    current_output_file = open(f"{output_prefix}_{current_file_index}", 'wb')
    
    for file_path in file_paths:
        file_size = os.path.getsize(file_path)
        
        if current_size + file_size > target_size and current_file_index < num_merge_files - 1:
            current_output_file.close()
            current_file_index += 1
            current_output_file = open(f"{output_prefix}_{current_file_index}", 'wb')
            current_size = 0
        
        with open(file_path, 'rb') as f:
            while chunk := f.read(1024):  # Read in chunks to handle large files
                current_output_file.write(chunk)
        
        current_size += file_size

    current_output_file.close()

def main():
    file_list_path = '/tmp/files'
    num_merge_files = 16
    output_prefix = '/tmp/merged'
    
    file_paths = get_file_paths(file_list_path)
    merge_files(file_paths, num_merge_files, output_prefix)

if __name__ == '__main__':
    main()
### Explanation: 1. **Reading File Paths:** - `get_file_paths(file_list_path)`: This function reads the paths from `/tmp/files` and returns them as a list. 2. **Calculating Total Size:** - `get_total_size(file_paths)`: This function calculates the total size of all the files listed in the file paths. 3. **Merging Files:** - `merge_files(file_paths, num_merge_files, output_prefix)`: This function merges the files. It calculates the target size for each merged file and iterates through the file paths, writing their contents to the current output file until the target size is exceeded. When the target size is exceeded, it switches to the next merged file. 4. **Main Function:** - The `main()` function sets the paths and calls the necessary functions to perform the merging. ### Notes: - The script reads and writes files in binary mode (`rb` and `wb`) to handle all types of files including binary files. - It reads in chunks to handle large files efficiently. - The final merged files will be named `/tmp/merged_0`, `/tmp/merged_1`, ..., `/tmp/merged_15`. This script ensures that the merged files are approximately equal in size and handles the file merging process efficiently.

Extract Code

I extracted the following code from that output: 

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import os

def get_file_paths(file_list_path):
    """Read the list of file paths from the given file and return them as a list."""
    with open(file_list_path, 'r') as f:
        file_paths = f.read().splitlines()
    return file_paths

def get_total_size(file_paths):
    """Calculate the total size of all the files in the list."""
    total_size = 0
    for file_path in file_paths:
        total_size += os.path.getsize(file_path)
    return total_size

def merge_files(file_paths, num_merge_files, output_prefix):
    """Merge the files into the specified number of output files."""
    total_size = get_total_size(file_paths)
    target_size = total_size // num_merge_files
    current_size = 0
    current_file_index = 0
    current_output_file = open(f"{output_prefix}_{current_file_index}", 'wb')
    
    for file_path in file_paths:
        file_size = os.path.getsize(file_path)
        
        if current_size + file_size > target_size and current_file_index < num_merge_files - 1:
            current_output_file.close()
            current_file_index += 1
            current_output_file = open(f"{output_prefix}_{current_file_index}", 'wb')
            current_size = 0
        
        with open(file_path, 'rb') as f:
            while chunk := f.read(1024):  # Read in chunks to handle large files
                current_output_file.write(chunk)
        
        current_size += file_size

    current_output_file.close()

def main():
    file_list_path = '/tmp/files'
    num_merge_files = 16
    output_prefix = '/tmp/merged'
    
    file_paths = get_file_paths(file_list_path)
    merge_files(file_paths, num_merge_files, output_prefix)

if __name__ == '__main__':
    main()

Run Code Interpreter

Running the following program: 

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import os

def get_file_paths(file_list_path):
    """Read the list of file paths from the given file and return them as a list."""
    with open(file_list_path, 'r') as f:
        file_paths = f.read().splitlines()
    return file_paths

def get_total_size(file_paths):
    """Calculate the total size of all the files in the list."""
    total_size = 0
    for file_path in file_paths:
        total_size += os.path.getsize(file_path)
    return total_size

def merge_files(file_paths, num_merge_files, output_prefix):
    """Merge the files into the specified number of output files."""
    total_size = get_total_size(file_paths)
    target_size = total_size // num_merge_files
    current_size = 0
    current_file_index = 0
    current_output_file = open(f"{output_prefix}_{current_file_index}", 'wb')
    
    for file_path in file_paths:
        file_size = os.path.getsize(file_path)
        
        if current_size + file_size > target_size and current_file_index < num_merge_files - 1:
            current_output_file.close()
            current_file_index += 1
            current_output_file = open(f"{output_prefix}_{current_file_index}", 'wb')
            current_size = 0
        
        with open(file_path, 'rb') as f:
            while chunk := f.read(1024):  # Read in chunks to handle large files
                current_output_file.write(chunk)
        
        current_size += file_size

    current_output_file.close()

def main():
    file_list_path = '/tmp/files'
    num_merge_files = 16
    output_prefix = '/tmp/merged'
    
    file_paths = get_file_paths(file_list_path)
    merge_files(file_paths, num_merge_files, output_prefix)

if __name__ == '__main__':
    main()
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 achieve the goal of merging the contents of several thousand files into 16 approximately equal-sized merged files, you can follow these steps in Python: 1. Read the list of file paths from "/tmp/files". 2. Calculate the total size of all the files combined. 3. Determine the target size for each of the 16 merged files. 4. Merge the contents of the files into 16 output files, keeping track of the cumulative size to ensure each merged file is approximately the target size. Here's a Python script to accomplish this: 

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import os

# Path to the file containing the list of file paths
file_list_path = "/tmp/files"

# Number of merged files to create
num_merged_files = 16

def get_file_paths(file_list_path):
    with open(file_list_path, 'r') as f:
        return [line.strip() for line in f.readlines()]

def calculate_target_size(file_paths):
    total_size = sum(os.path.getsize(file_path) for file_path in file_paths)
    return total_size // num_merged_files

def merge_files(file_paths, target_size):
    merged_files = [open(f"/tmp/merged_{i}", 'wb') for i in range(num_merged_files)]
    current_file_index = 0
    current_size = 0

    for file_path in file_paths:
        file_size = os.path.getsize(file_path)
        with open(file_path, 'rb') as f:
            while file_size > 0:
                chunk_size = min(target_size - current_size, file_size)
                chunk = f.read(chunk_size)
                merged_files[current_file_index].write(chunk)
                current_size += chunk_size
                file_size -= chunk_size

                if current_size >= target_size:
                    merged_files[current_file_index].close()
                    current_file_index += 1
                    current_size = 0
                    if current_file_index < num_merged_files:
                        merged_files[current_file_index] = open(f"/tmp/merged_{current_file_index}", 'wb')
                    
    for mf in merged_files:
        mf.close()

if __name__ == "__main__":
    file_paths = get_file_paths(file_list_path)
    target_size = calculate_target_size(file_paths)
    merge_files(file_paths, target_size)
### Explanation: 1. **get_file_paths(file_list_path)**: Reads the list of file paths from "/tmp/files". 2. **calculate_target_size(file_paths)**: Calculates the target size for each of the 16 merged files by dividing the total size of all input files by 16. 3. **merge_files(file_paths, target_size)**: Merges the files into 16 output files, each approximately target_size bytes in size. The script ensures that the current merged file does not exceed the target size before starting a new one. This script should be run in an environment where you have read access to the input files and write access to the output directory. It ensures that the merged files are approximately equal in size.

Extract Code

I extracted the following code from that output: 

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import os

# Path to the file containing the list of file paths
file_list_path = "/tmp/files"

# Number of merged files to create
num_merged_files = 16

def get_file_paths(file_list_path):
    with open(file_list_path, 'r') as f:
        return [line.strip() for line in f.readlines()]

def calculate_target_size(file_paths):
    total_size = sum(os.path.getsize(file_path) for file_path in file_paths)
    return total_size // num_merged_files

def merge_files(file_paths, target_size):
    merged_files = [open(f"/tmp/merged_{i}", 'wb') for i in range(num_merged_files)]
    current_file_index = 0
    current_size = 0

    for file_path in file_paths:
        file_size = os.path.getsize(file_path)
        with open(file_path, 'rb') as f:
            while file_size > 0:
                chunk_size = min(target_size - current_size, file_size)
                chunk = f.read(chunk_size)
                merged_files[current_file_index].write(chunk)
                current_size += chunk_size
                file_size -= chunk_size

                if current_size >= target_size:
                    merged_files[current_file_index].close()
                    current_file_index += 1
                    current_size = 0
                    if current_file_index < num_merged_files:
                        merged_files[current_file_index] = open(f"/tmp/merged_{current_file_index}", 'wb')
                    
    for mf in merged_files:
        mf.close()

if __name__ == "__main__":
    file_paths = get_file_paths(file_list_path)
    target_size = calculate_target_size(file_paths)
    merge_files(file_paths, target_size)

Run Code Interpreter

Running the following program: 

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import os

# Path to the file containing the list of file paths
file_list_path = "/tmp/files"

# Number of merged files to create
num_merged_files = 16

def get_file_paths(file_list_path):
    with open(file_list_path, 'r') as f:
        return [line.strip() for line in f.readlines()]

def calculate_target_size(file_paths):
    total_size = sum(os.path.getsize(file_path) for file_path in file_paths)
    return total_size // num_merged_files

def merge_files(file_paths, target_size):
    merged_files = [open(f"/tmp/merged_{i}", 'wb') for i in range(num_merged_files)]
    current_file_index = 0
    current_size = 0

    for file_path in file_paths:
        file_size = os.path.getsize(file_path)
        with open(file_path, 'rb') as f:
            while file_size > 0:
                chunk_size = min(target_size - current_size, file_size)
                chunk = f.read(chunk_size)
                merged_files[current_file_index].write(chunk)
                current_size += chunk_size
                file_size -= chunk_size

                if current_size >= target_size:
                    merged_files[current_file_index].close()
                    current_file_index += 1
                    current_size = 0
                    if current_file_index < num_merged_files:
                        merged_files[current_file_index] = open(f"/tmp/merged_{current_file_index}", 'wb')
                    
    for mf in merged_files:
        mf.close()

if __name__ == "__main__":
    file_paths = get_file_paths(file_list_path)
    target_size = calculate_target_size(file_paths)
    merge_files(file_paths, target_size)
And got the output: Traceback (most recent call last): File "/usr/src/app/main.py", line 46, in <module> merge_files(file_paths, target_size) File "/usr/src/app/main.py", line 29, in merge_files merged_files[current_file_index].write(chunk) IndexError: list index out of range

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

To accomplish this task, you can create a Python script that reads the list of file paths, calculates the total size of all files, and then merges the files into 16 approximately equal-sized merged files. Here's an example script that performs these steps: 

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import os
import math

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

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

def merge_files(file_paths, output_file_path):
    """Merges the content of the given file paths into the output file."""
    with open(output_file_path, 'wb') as merged_file:
        for file_path in file_paths:
            with open(file_path, 'rb') as file:
                merged_file.write(file.read())

def main():
    file_list_path = '/tmp/files'
    output_dir = '/tmp'
    num_merged_files = 16

    # Read the list of file paths
    file_paths = read_file_paths(file_list_path)

    # Calculate the total size of all files
    total_size = sum(get_file_size(file_path) for file_path in file_paths)

    # Determine the approximate size for each merged file
    target_size = total_size / num_merged_files

    # Group files such that each group is approximately the target size
    current_group = []
    current_group_size = 0
    groups = []

    for file_path in file_paths:
        file_size = get_file_size(file_path)

        if current_group_size + file_size > target_size and current_group:
            groups.append(current_group)
            current_group = []
            current_group_size = 0

        current_group.append(file_path)
        current_group_size += file_size

    if current_group:
        groups.append(current_group)

    # Merge each group of files into a merged file
    for i, group in enumerate(groups):
        output_file_path = os.path.join(output_dir, f'merged_{i}')
        merge_files(group, output_file_path)

    print(f"Successfully merged files into {len(groups)} output files.")

if __name__ == '__main__':
    main()
This script does the following: 1. Defines a function to get the size of a file. 2. Defines a function to read the list of file paths from a specified file. 3. Defines a function to merge a list of files into a single output file. 4. In the `main` function, it reads the list of file paths, calculates the total size of all files, and determines the target size for each merged file. 5. It then groups the files into approximately equal-sized groups and merges each group into an output file. You can run this script by saving it to a file (e.g., `merge_files.py`) and executing it with Python: 
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python merge_files.py
Ensure that `/tmp/files` contains the list of file paths, one per line. The script will create merged files named `/tmp/merged_0`, `/tmp/merged_1`, ..., `/tmp/merged_15`.

Extract Code

I extracted the following code from that output: 

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import os
import math

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

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

def merge_files(file_paths, output_file_path):
    """Merges the content of the given file paths into the output file."""
    with open(output_file_path, 'wb') as merged_file:
        for file_path in file_paths:
            with open(file_path, 'rb') as file:
                merged_file.write(file.read())

def main():
    file_list_path = '/tmp/files'
    output_dir = '/tmp'
    num_merged_files = 16

    # Read the list of file paths
    file_paths = read_file_paths(file_list_path)

    # Calculate the total size of all files
    total_size = sum(get_file_size(file_path) for file_path in file_paths)

    # Determine the approximate size for each merged file
    target_size = total_size / num_merged_files

    # Group files such that each group is approximately the target size
    current_group = []
    current_group_size = 0
    groups = []

    for file_path in file_paths:
        file_size = get_file_size(file_path)

        if current_group_size + file_size > target_size and current_group:
            groups.append(current_group)
            current_group = []
            current_group_size = 0

        current_group.append(file_path)
        current_group_size += file_size

    if current_group:
        groups.append(current_group)

    # Merge each group of files into a merged file
    for i, group in enumerate(groups):
        output_file_path = os.path.join(output_dir, f'merged_{i}')
        merge_files(group, output_file_path)

    print(f"Successfully merged files into {len(groups)} output files.")

if __name__ == '__main__':
    main()

Run Code Interpreter

Running the following program: 

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import os
import math

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

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

def merge_files(file_paths, output_file_path):
    """Merges the content of the given file paths into the output file."""
    with open(output_file_path, 'wb') as merged_file:
        for file_path in file_paths:
            with open(file_path, 'rb') as file:
                merged_file.write(file.read())

def main():
    file_list_path = '/tmp/files'
    output_dir = '/tmp'
    num_merged_files = 16

    # Read the list of file paths
    file_paths = read_file_paths(file_list_path)

    # Calculate the total size of all files
    total_size = sum(get_file_size(file_path) for file_path in file_paths)

    # Determine the approximate size for each merged file
    target_size = total_size / num_merged_files

    # Group files such that each group is approximately the target size
    current_group = []
    current_group_size = 0
    groups = []

    for file_path in file_paths:
        file_size = get_file_size(file_path)

        if current_group_size + file_size > target_size and current_group:
            groups.append(current_group)
            current_group = []
            current_group_size = 0

        current_group.append(file_path)
        current_group_size += file_size

    if current_group:
        groups.append(current_group)

    # Merge each group of files into a merged file
    for i, group in enumerate(groups):
        output_file_path = os.path.join(output_dir, f'merged_{i}')
        merge_files(group, output_file_path)

    print(f"Successfully merged files into {len(groups)} output files.")

if __name__ == '__main__':
    main()
And got the output: Successfully merged files into 17 output files.

PyFunc

final: False Resulting in output: False