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

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import os

def merge_files(input_file, output_prefix, num_output_files):
    """Merges content of files listed in input_file into multiple output files.

    Args:
        input_file: Path to file containing a list of file paths, one per line.
        output_prefix: Prefix for the output file names.
        num_output_files: Number of output files to create.
    """

    with open(input_file, 'r') as f:
        file_paths = f.read().splitlines()

    total_size = sum(os.path.getsize(file_path) for file_path in file_paths)
    chunk_size = total_size // num_output_files

    current_chunk = 0
    current_size = 0
    output_file = None

    for file_path in file_paths:
        if output_file is None or current_size >= chunk_size:
            if output_file:
                output_file.close()
            current_chunk += 1
            current_size = 0
            output_file = open(f"{output_prefix}_{current_chunk-1}", 'wb')

        with open(file_path, 'rb') as input_f:
            while True:
                chunk = input_f.read(4096)
                if not chunk:
                    break
                output_file.write(chunk)
                current_size += len(chunk)

    if output_file:
        output_file.close()

if __name__ == "__main__":
    merge_files("/tmp/files", "/tmp/merged", 16)
**Explanation:** 1. **Function Definition:** - Defines a function `merge_files` that takes the input file path, output file prefix, and the number of output files as arguments. 2. **Reading Input File:** - Opens the `input_file` in read mode. - Reads all lines (file paths) from the input file and stores them in a list called `file_paths`. 3. **Calculating Chunk Size:** - Calculates the total size of all files listed in `file_paths`. - Determines the desired `chunk_size` for each output file by dividing the `total_size` by the `num_output_files`. 4. **Iterating and Writing to Output Files:** - Initializes variables to keep track of the current chunk, its size, and the output file being written to. - Iterates through each `file_path` in the `file_paths` list. - For each file: - Checks if a new output file needs to be created (if the current chunk size exceeds the `chunk_size` or if it's the first file). - If a new file is needed, closes the previous output file (if any) and opens a new one with the appropriate name based on the `output_prefix` and current chunk number. - Reads the content of the input file in chunks (4096 bytes at a time) and writes it to the current output file. - Updates the `current_size` to keep track of the current chunk's size. 5. **Closing the Last Output File:** - After processing all input files, ensures that the last output file is closed properly. 6. **Main Execution Block:** - Calls the `merge_files` function with the specific input file path ("/tmp/files"), output file prefix ("/tmp/merged"), and the desired number of output files (16). This script efficiently splits the content of the files listed in "/tmp/files" into 16 output files ("/tmp/merged_0" to "/tmp/merged_15") with approximately equal sizes.

Extract Code

I extracted the following code from that output: 

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import os

def merge_files(input_file, output_prefix, num_output_files):
    """Merges content of files listed in input_file into multiple output files.

    Args:
        input_file: Path to file containing a list of file paths, one per line.
        output_prefix: Prefix for the output file names.
        num_output_files: Number of output files to create.
    """

    with open(input_file, 'r') as f:
        file_paths = f.read().splitlines()

    total_size = sum(os.path.getsize(file_path) for file_path in file_paths)
    chunk_size = total_size // num_output_files

    current_chunk = 0
    current_size = 0
    output_file = None

    for file_path in file_paths:
        if output_file is None or current_size >= chunk_size:
            if output_file:
                output_file.close()
            current_chunk += 1
            current_size = 0
            output_file = open(f"{output_prefix}_{current_chunk-1}", 'wb')

        with open(file_path, 'rb') as input_f:
            while True:
                chunk = input_f.read(4096)
                if not chunk:
                    break
                output_file.write(chunk)
                current_size += len(chunk)

    if output_file:
        output_file.close()

if __name__ == "__main__":
    merge_files("/tmp/files", "/tmp/merged", 16)

Run Code Interpreter

Running the following program: 

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import os

def merge_files(input_file, output_prefix, num_output_files):
    """Merges content of files listed in input_file into multiple output files.

    Args:
        input_file: Path to file containing a list of file paths, one per line.
        output_prefix: Prefix for the output file names.
        num_output_files: Number of output files to create.
    """

    with open(input_file, 'r') as f:
        file_paths = f.read().splitlines()

    total_size = sum(os.path.getsize(file_path) for file_path in file_paths)
    chunk_size = total_size // num_output_files

    current_chunk = 0
    current_size = 0
    output_file = None

    for file_path in file_paths:
        if output_file is None or current_size >= chunk_size:
            if output_file:
                output_file.close()
            current_chunk += 1
            current_size = 0
            output_file = open(f"{output_prefix}_{current_chunk-1}", 'wb')

        with open(file_path, 'rb') as input_f:
            while True:
                chunk = input_f.read(4096)
                if not chunk:
                    break
                output_file.write(chunk)
                current_size += len(chunk)

    if output_file:
        output_file.close()

if __name__ == "__main__":
    merge_files("/tmp/files", "/tmp/merged", 16)
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

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import os

input_file = "/tmp/files"
output_prefix = "/tmp/merged_"
num_output_files = 16

# Get the total size of all files
total_size = 0
with open(input_file, "r") as f:
    for line in f:
        file_path = line.strip()
        total_size += os.path.getsize(file_path)

# Calculate the target size for each output file
target_size = total_size // num_output_files

# Merge the files
current_size = 0
current_file_index = 0
output_file = None

with open(input_file, "r") as f:
    for line in f:
        file_path = line.strip()

        # Open a new output file if needed
        if output_file is None:
            output_file = open(f"{output_prefix}{current_file_index}", "wb")

        # Copy the content of the current file
        with open(file_path, "rb") as infile:
            for chunk in iter(lambda: infile.read(4096), b""):
                output_file.write(chunk)
                current_size += len(chunk)

        # Check if we need to switch to the next output file
        if current_size >= target_size and current_file_index < num_output_files - 1:
            output_file.close()
            current_file_index += 1
            current_size = 0
            output_file = None

# Close the last output file
if output_file is not None:
    output_file.close()
**Explanation:** 1. **Get input and output parameters:** - Define the path to the file containing the list of file paths. - Define the prefix for the output merged files. - Set the desired number of output files. 2. **Calculate total size:** - Read the file paths from the input file line by line. - Calculate the total size of all files to be merged. 3. **Determine target size:** - Divide the total size by the number of output files to get the approximate target size for each merged file. 4. **Merge files:** - Iterate through the file paths again. - Open a new output file with the appropriate index if it's the first file or if the target size has been reached. - Read the content of the current input file in chunks and write it to the current output file. - Keep track of the current size of the output file. - If the target size is reached, close the current output file, increment the file index, and reset the current size. 5. **Close the last file:** - Ensure that the last output file is closed after processing all input files. This script reads the file paths, calculates the desired size for each output file, and then merges the content accordingly. It ensures that each output file is approximately the same size, distributing the content evenly.

Extract Code

I extracted the following code from that output: 

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import os

input_file = "/tmp/files"
output_prefix = "/tmp/merged_"
num_output_files = 16

# Get the total size of all files
total_size = 0
with open(input_file, "r") as f:
    for line in f:
        file_path = line.strip()
        total_size += os.path.getsize(file_path)

# Calculate the target size for each output file
target_size = total_size // num_output_files

# Merge the files
current_size = 0
current_file_index = 0
output_file = None

with open(input_file, "r") as f:
    for line in f:
        file_path = line.strip()

        # Open a new output file if needed
        if output_file is None:
            output_file = open(f"{output_prefix}{current_file_index}", "wb")

        # Copy the content of the current file
        with open(file_path, "rb") as infile:
            for chunk in iter(lambda: infile.read(4096), b""):
                output_file.write(chunk)
                current_size += len(chunk)

        # Check if we need to switch to the next output file
        if current_size >= target_size and current_file_index < num_output_files - 1:
            output_file.close()
            current_file_index += 1
            current_size = 0
            output_file = None

# Close the last output file
if output_file is not None:
    output_file.close()

Run Code Interpreter

Running the following program: 

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import os

input_file = "/tmp/files"
output_prefix = "/tmp/merged_"
num_output_files = 16

# Get the total size of all files
total_size = 0
with open(input_file, "r") as f:
    for line in f:
        file_path = line.strip()
        total_size += os.path.getsize(file_path)

# Calculate the target size for each output file
target_size = total_size // num_output_files

# Merge the files
current_size = 0
current_file_index = 0
output_file = None

with open(input_file, "r") as f:
    for line in f:
        file_path = line.strip()

        # Open a new output file if needed
        if output_file is None:
            output_file = open(f"{output_prefix}{current_file_index}", "wb")

        # Copy the content of the current file
        with open(file_path, "rb") as infile:
            for chunk in iter(lambda: infile.read(4096), b""):
                output_file.write(chunk)
                current_size += len(chunk)

        # Check if we need to switch to the next output file
        if current_size >= target_size and current_file_index < num_output_files - 1:
            output_file.close()
            current_file_index += 1
            current_size = 0
            output_file = None

# Close the last output file
if output_file is not None:
    output_file.close()
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

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import os

def split_files(file_list, output_dir, num_splits=16):
  """Splits the content of multiple files into multiple output files.

  Args:
    file_list: Path to a file containing a list of file paths, one per line.
    output_dir: Directory to write the output files.
    num_splits: Number of output files to create.
  """

  with open(file_list, 'r') as f:
    files = f.read().splitlines()

  total_size = sum(os.path.getsize(file) for file in files)
  split_size = total_size // num_splits

  current_split = 0
  current_size = 0
  output_file = None

  for i, file in enumerate(files):
    with open(file, 'rb') as infile:
      for chunk in iter(lambda: infile.read(4096), b''):  # Read in chunks
        if current_size >= split_size or output_file is None:
          if output_file:
            output_file.close()
          current_split += 1
          current_size = 0
          output_file = open(os.path.join(output_dir, f"merged_{current_split}"), 'wb')
        output_file.write(chunk)
        current_size += len(chunk)

  if output_file:
    output_file.close()

if __name__ == "__main__":
  file_list_path = "/tmp/files"
  output_directory = "/tmp"  # Change if needed
  split_files(file_list_path, output_directory)
**Explanation:** 1. **Function Definition:** - The code defines a function `split_files` that takes the file list path, output directory, and the number of splits as arguments. 2. **Reading File List:** - It reads the file paths from the provided `file_list` file. 3. **Calculating Split Size:** - Calculates the total size of all files and determines the target size for each output file. 4. **Iterating and Splitting:** - Iterates through each file in the list. - Reads the content of each file in chunks to handle potentially large files efficiently. - Writes the chunks to the currently active output file. - When the current output file reaches the target `split_size`, it closes the current file, increments the split counter, and opens a new output file. 5. **Closing Files:** - Ensures that the last output file is closed properly after processing all input files. 6. **Main Execution Block:** - Defines the `file_list_path` and `output_directory`. - Calls the `split_files` function to perform the splitting operation. **How to Use:** 1. **Save:** Save the Python code as a `.py` file (e.g., `merge_files.py`). 2. **Create File List:** Create a file named `files` in the `/tmp` directory (or modify the `file_list_path` variable in the script) and list the paths to your files, one per line. 3. **Run:** Execute the script from your terminal: 
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   python merge_files.py
This will create 16 files (`merged_1`, `merged_2`, ..., `merged_16`) in the `/tmp` directory, each containing approximately the same amount of data from the original files.

Extract Code

I extracted the following code from that output: 

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import os

def split_files(file_list, output_dir, num_splits=16):
  """Splits the content of multiple files into multiple output files.

  Args:
    file_list: Path to a file containing a list of file paths, one per line.
    output_dir: Directory to write the output files.
    num_splits: Number of output files to create.
  """

  with open(file_list, 'r') as f:
    files = f.read().splitlines()

  total_size = sum(os.path.getsize(file) for file in files)
  split_size = total_size // num_splits

  current_split = 0
  current_size = 0
  output_file = None

  for i, file in enumerate(files):
    with open(file, 'rb') as infile:
      for chunk in iter(lambda: infile.read(4096), b''):  # Read in chunks
        if current_size >= split_size or output_file is None:
          if output_file:
            output_file.close()
          current_split += 1
          current_size = 0
          output_file = open(os.path.join(output_dir, f"merged_{current_split}"), 'wb')
        output_file.write(chunk)
        current_size += len(chunk)

  if output_file:
    output_file.close()

if __name__ == "__main__":
  file_list_path = "/tmp/files"
  output_directory = "/tmp"  # Change if needed
  split_files(file_list_path, output_directory)

Run Code Interpreter

Running the following program: 

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import os

def split_files(file_list, output_dir, num_splits=16):
  """Splits the content of multiple files into multiple output files.

  Args:
    file_list: Path to a file containing a list of file paths, one per line.
    output_dir: Directory to write the output files.
    num_splits: Number of output files to create.
  """

  with open(file_list, 'r') as f:
    files = f.read().splitlines()

  total_size = sum(os.path.getsize(file) for file in files)
  split_size = total_size // num_splits

  current_split = 0
  current_size = 0
  output_file = None

  for i, file in enumerate(files):
    with open(file, 'rb') as infile:
      for chunk in iter(lambda: infile.read(4096), b''):  # Read in chunks
        if current_size >= split_size or output_file is None:
          if output_file:
            output_file.close()
          current_split += 1
          current_size = 0
          output_file = open(os.path.join(output_dir, f"merged_{current_split}"), 'wb')
        output_file.write(chunk)
        current_size += len(chunk)

  if output_file:
    output_file.close()

if __name__ == "__main__":
  file_list_path = "/tmp/files"
  output_directory = "/tmp"  # Change if needed
  split_files(file_list_path, output_directory)
And got the output:

PyFunc

Traceback (most recent call last): File "/usr/src/app/check.py", line 20, in <module> print('final: ' + str(test())) File "/usr/src/app/check.py", line 6, in test sz.append(len(open("/tmp/merged_%d" % i).read())) FileNotFoundError: [Errno 2] No such file or directory: '/tmp/merged_0' 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

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import os

def split_files(file_list, output_prefix, num_splits):
  """Splits files into multiple output files.

  Args:
    file_list: Path to a file containing a list of file paths, one per line.
    output_prefix: Prefix for output file names (e.g., '/tmp/merged_').
    num_splits: Number of output files to create.
  """

  with open(file_list, 'r') as f:
    files = f.read().splitlines()

  total_size = sum(os.path.getsize(file) for file in files)
  split_size = total_size // num_splits

  current_split = 0
  current_size = 0
  output_file = None

  for i, file in enumerate(files):
    with open(file, 'rb') as infile:
      # Create a new output file if needed
      if output_file is None:
        output_file = open(f"{output_prefix}{current_split}", 'wb')

      # Copy data to the current output file
      for chunk in iter(lambda: infile.read(4096), b''):
        output_file.write(chunk)
        current_size += len(chunk)

        # Switch to the next output file if size limit is reached
        if current_size >= split_size and i < len(files) - 1:
          output_file.close()
          current_split += 1
          current_size = 0
          output_file = open(f"{output_prefix}{current_split}", 'wb')

  if output_file:
    output_file.close()

if __name__ == "__main__":
  split_files("/tmp/files", "/tmp/merged_", 16)
**Explanation:** 1. **Function Definition:** - Defines a function `split_files` that takes the file list path, output file prefix, and the number of splits as arguments. 2. **Reading File List:** - Opens the file list in read mode (`'r'`). - Reads all lines (file paths) and stores them in the `files` list. 3. **Calculating Split Size:** - Calculates the total size of all files using `os.path.getsize()` and `sum()`. - Determines the target size for each output file (`split_size`). 4. **Iterating Through Files:** - Initializes variables to track the current split index, current split size, and the output file handle. - Iterates through each file path in the `files` list. 5. **Creating Output Files:** - Checks if an output file is already open. If not, it opens a new output file using the provided prefix and current split index. 6. **Copying Data:** - Opens the input file in binary read mode (`'rb'`). - Reads data in chunks of 4KB using a loop with `iter()` and `infile.read(4096)`. - Writes each chunk to the current output file. - Updates the `current_size` to keep track of the written data. 7. **Switching Output Files:** - Checks if the `current_size` exceeds the `split_size` and if there are more files to process. - If both conditions are true: - Closes the current output file. - Increments the `current_split` index. - Resets `current_size` to 0. - Opens a new output file for the next split. 8. **Closing the Last Output File:** - After processing all files, closes the last output file if it's still open. 9. **Main Execution Block:** - Calls the `split_files` function with the provided file list path, output prefix, and the desired number of splits (16 in this case).

Extract Code

I extracted the following code from that output: 

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import os

def split_files(file_list, output_prefix, num_splits):
  """Splits files into multiple output files.

  Args:
    file_list: Path to a file containing a list of file paths, one per line.
    output_prefix: Prefix for output file names (e.g., '/tmp/merged_').
    num_splits: Number of output files to create.
  """

  with open(file_list, 'r') as f:
    files = f.read().splitlines()

  total_size = sum(os.path.getsize(file) for file in files)
  split_size = total_size // num_splits

  current_split = 0
  current_size = 0
  output_file = None

  for i, file in enumerate(files):
    with open(file, 'rb') as infile:
      # Create a new output file if needed
      if output_file is None:
        output_file = open(f"{output_prefix}{current_split}", 'wb')

      # Copy data to the current output file
      for chunk in iter(lambda: infile.read(4096), b''):
        output_file.write(chunk)
        current_size += len(chunk)

        # Switch to the next output file if size limit is reached
        if current_size >= split_size and i < len(files) - 1:
          output_file.close()
          current_split += 1
          current_size = 0
          output_file = open(f"{output_prefix}{current_split}", 'wb')

  if output_file:
    output_file.close()

if __name__ == "__main__":
  split_files("/tmp/files", "/tmp/merged_", 16)

Run Code Interpreter

Running the following program: 

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import os

def split_files(file_list, output_prefix, num_splits):
  """Splits files into multiple output files.

  Args:
    file_list: Path to a file containing a list of file paths, one per line.
    output_prefix: Prefix for output file names (e.g., '/tmp/merged_').
    num_splits: Number of output files to create.
  """

  with open(file_list, 'r') as f:
    files = f.read().splitlines()

  total_size = sum(os.path.getsize(file) for file in files)
  split_size = total_size // num_splits

  current_split = 0
  current_size = 0
  output_file = None

  for i, file in enumerate(files):
    with open(file, 'rb') as infile:
      # Create a new output file if needed
      if output_file is None:
        output_file = open(f"{output_prefix}{current_split}", 'wb')

      # Copy data to the current output file
      for chunk in iter(lambda: infile.read(4096), b''):
        output_file.write(chunk)
        current_size += len(chunk)

        # Switch to the next output file if size limit is reached
        if current_size >= split_size and i < len(files) - 1:
          output_file.close()
          current_split += 1
          current_size = 0
          output_file = open(f"{output_prefix}{current_split}", 'wb')

  if output_file:
    output_file.close()

if __name__ == "__main__":
  split_files("/tmp/files", "/tmp/merged_", 16)
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

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import os

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

# Path to the directory where merged files will be saved
output_dir = "/tmp"

# Number of output files
num_output_files = 16

# Read the list of file paths from the file
with open(file_list_path, "r") as f:
    file_paths = f.read().splitlines()

# Calculate the approximate number of files per output file
files_per_output = len(file_paths) // num_output_files

# Iterate over the file paths and write to the appropriate output file
for i in range(num_output_files):
    # Calculate the start and end indices for the current output file
    start_index = i * files_per_output
    end_index = (i + 1) * files_per_output if i < num_output_files - 1 else len(file_paths)

    # Open the output file for writing
    output_file_path = os.path.join(output_dir, f"merged_{i}")
    with open(output_file_path, "w") as outfile:
        # Iterate over the file paths for the current output file
        for file_path in file_paths[start_index:end_index]:
            # Open the input file for reading
            with open(file_path, "r") as infile:
                # Read the contents of the input file and write them to the output file
                outfile.write(infile.read())
**Explanation:** 1. **Initialization:** - Sets the paths to the input file list and output directory. - Defines the number of output files. - Reads the list of file paths from the input file. - Calculates the approximate number of files to be merged into each output file. 2. **File Merging:** - Iterates over the desired number of output files. - For each output file: - Calculates the start and end indices of the file paths to be merged. - Opens the output file in write mode. - Iterates over the corresponding file paths: - Opens each input file in read mode. - Reads the entire content of the input file. - Writes the read content to the output file. 3. **Output:** - Creates 16 files (merged_0 to merged_15) in the specified output directory. - Each output file contains the merged content of an approximately equal number of input files. **Note:** - This script assumes that all input files are text files. If you are working with binary files, you should open them in binary mode (`"rb"` and `"wb"`). - The script distributes the files evenly across the output files. If the number of input files is not perfectly divisible by the number of output files, the last output file may contain slightly more or fewer files than the others.

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"

# Path to the directory where merged files will be saved
output_dir = "/tmp"

# Number of output files
num_output_files = 16

# Read the list of file paths from the file
with open(file_list_path, "r") as f:
    file_paths = f.read().splitlines()

# Calculate the approximate number of files per output file
files_per_output = len(file_paths) // num_output_files

# Iterate over the file paths and write to the appropriate output file
for i in range(num_output_files):
    # Calculate the start and end indices for the current output file
    start_index = i * files_per_output
    end_index = (i + 1) * files_per_output if i < num_output_files - 1 else len(file_paths)

    # Open the output file for writing
    output_file_path = os.path.join(output_dir, f"merged_{i}")
    with open(output_file_path, "w") as outfile:
        # Iterate over the file paths for the current output file
        for file_path in file_paths[start_index:end_index]:
            # Open the input file for reading
            with open(file_path, "r") as infile:
                # Read the contents of the input file and write them to the output file
                outfile.write(infile.read())

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"

# Path to the directory where merged files will be saved
output_dir = "/tmp"

# Number of output files
num_output_files = 16

# Read the list of file paths from the file
with open(file_list_path, "r") as f:
    file_paths = f.read().splitlines()

# Calculate the approximate number of files per output file
files_per_output = len(file_paths) // num_output_files

# Iterate over the file paths and write to the appropriate output file
for i in range(num_output_files):
    # Calculate the start and end indices for the current output file
    start_index = i * files_per_output
    end_index = (i + 1) * files_per_output if i < num_output_files - 1 else len(file_paths)

    # Open the output file for writing
    output_file_path = os.path.join(output_dir, f"merged_{i}")
    with open(output_file_path, "w") as outfile:
        # Iterate over the file paths for the current output file
        for file_path in file_paths[start_index:end_index]:
            # Open the input file for reading
            with open(file_path, "r") as infile:
                # Read the contents of the input file and write them to the output file
                outfile.write(infile.read())
And got the output:

PyFunc

final: False Resulting in output: False