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

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
import os

def merge_files(input_list_path, output_prefix, num_output_files):
    """Merges files listed in a file into multiple output files.

    Args:
        input_list_path: Path to the file containing the list of file paths.
        output_prefix: Prefix for the output file names.
        num_output_files: Number of output files to create.
    """

    try:
        with open(input_list_path, 'r') as f:
            file_paths = [line.strip() for line in f]
    except FileNotFoundError:
        print(f"Error: Input file '{input_list_path}' not found.")
        return

    total_size = sum(os.path.getsize(path) for path in file_paths if os.path.exists(path))
    chunk_size = total_size // num_output_files  # Approximate size of each output file

    output_files = [open(f"{output_prefix}_{i}", 'wb') for i in range(num_output_files)]
    current_output_file_index = 0
    current_output_file_size = 0


    for file_path in file_paths:
         if not os.path.exists(file_path):
            print(f"Warning: File '{file_path}' not found. Skipping.")
            continue

         try:
            with open(file_path, 'rb') as input_file:  # Open in binary mode
                while True:
                    chunk = input_file.read(4096)  # Read in chunks to handle large files efficiently
                    if not chunk:
                        break

                    output_files[current_output_file_index].write(chunk)
                    current_output_file_size += len(chunk)

                    if current_output_file_size >= chunk_size and current_output_file_index < num_output_files - 1:  # Avoid going beyond last output file
                        output_files[current_output_file_index].close()
                        current_output_file_index += 1
                        current_output_file_size = 0
         except Exception as e:
             print(f"Error processing file '{file_path}': {e}")
             # Handle the error as needed, e.g., skip the file or log the error



    # Close all output files
    for output_file in output_files:
        output_file.close()




if __name__ == "__main__":
    input_list_path = "/tmp/files"
    output_prefix = "/tmp/merged"
    num_output_files = 16

    merge_files(input_list_path, output_prefix, num_output_files)
    print("File merging complete.")
Key improvements: * **Error Handling:** Includes error handling for file not found and other potential exceptions during file processing. This makes the script more robust. * **Binary Mode:** Opens files in binary mode (`'rb'` and `'wb'`) to handle various file types correctly. * **Chunking:** Reads and writes files in chunks (using `file.read(4096)`) to efficiently process large files without excessive memory usage. * **Clearer Output:** Provides more informative output messages about the process and any errors encountered. * **Simplified Logic:** Streamlines the file merging logic and avoids redundant checks. * **Handles missing files:** Skips files listed in the input list that don't exist, preventing the script from crashing. Before running: 1. **Create `/tmp/files`:** Make sure the file `/tmp/files` exists and contains the list of file paths you want to merge, one path per line. 2. **Create `/tmp` if necessary:** If the `/tmp` directory doesn't exist, create it. This improved script addresses the potential issues and provides a more reliable solution for merging large numbers of files.

Extract Code

I extracted the following code from that output: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
import os

def merge_files(input_list_path, output_prefix, num_output_files):
    """Merges files listed in a file into multiple output files.

    Args:
        input_list_path: Path to the file containing the list of file paths.
        output_prefix: Prefix for the output file names.
        num_output_files: Number of output files to create.
    """

    try:
        with open(input_list_path, 'r') as f:
            file_paths = [line.strip() for line in f]
    except FileNotFoundError:
        print(f"Error: Input file '{input_list_path}' not found.")
        return

    total_size = sum(os.path.getsize(path) for path in file_paths if os.path.exists(path))
    chunk_size = total_size // num_output_files  # Approximate size of each output file

    output_files = [open(f"{output_prefix}_{i}", 'wb') for i in range(num_output_files)]
    current_output_file_index = 0
    current_output_file_size = 0


    for file_path in file_paths:
         if not os.path.exists(file_path):
            print(f"Warning: File '{file_path}' not found. Skipping.")
            continue

         try:
            with open(file_path, 'rb') as input_file:  # Open in binary mode
                while True:
                    chunk = input_file.read(4096)  # Read in chunks to handle large files efficiently
                    if not chunk:
                        break

                    output_files[current_output_file_index].write(chunk)
                    current_output_file_size += len(chunk)

                    if current_output_file_size >= chunk_size and current_output_file_index < num_output_files - 1:  # Avoid going beyond last output file
                        output_files[current_output_file_index].close()
                        current_output_file_index += 1
                        current_output_file_size = 0
         except Exception as e:
             print(f"Error processing file '{file_path}': {e}")
             # Handle the error as needed, e.g., skip the file or log the error



    # Close all output files
    for output_file in output_files:
        output_file.close()




if __name__ == "__main__":
    input_list_path = "/tmp/files"
    output_prefix = "/tmp/merged"
    num_output_files = 16

    merge_files(input_list_path, output_prefix, num_output_files)
    print("File merging complete.")

Run Code Interpreter

Running the following program: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
import os

def merge_files(input_list_path, output_prefix, num_output_files):
    """Merges files listed in a file into multiple output files.

    Args:
        input_list_path: Path to the file containing the list of file paths.
        output_prefix: Prefix for the output file names.
        num_output_files: Number of output files to create.
    """

    try:
        with open(input_list_path, 'r') as f:
            file_paths = [line.strip() for line in f]
    except FileNotFoundError:
        print(f"Error: Input file '{input_list_path}' not found.")
        return

    total_size = sum(os.path.getsize(path) for path in file_paths if os.path.exists(path))
    chunk_size = total_size // num_output_files  # Approximate size of each output file

    output_files = [open(f"{output_prefix}_{i}", 'wb') for i in range(num_output_files)]
    current_output_file_index = 0
    current_output_file_size = 0


    for file_path in file_paths:
         if not os.path.exists(file_path):
            print(f"Warning: File '{file_path}' not found. Skipping.")
            continue

         try:
            with open(file_path, 'rb') as input_file:  # Open in binary mode
                while True:
                    chunk = input_file.read(4096)  # Read in chunks to handle large files efficiently
                    if not chunk:
                        break

                    output_files[current_output_file_index].write(chunk)
                    current_output_file_size += len(chunk)

                    if current_output_file_size >= chunk_size and current_output_file_index < num_output_files - 1:  # Avoid going beyond last output file
                        output_files[current_output_file_index].close()
                        current_output_file_index += 1
                        current_output_file_size = 0
         except Exception as e:
             print(f"Error processing file '{file_path}': {e}")
             # Handle the error as needed, e.g., skip the file or log the error



    # Close all output files
    for output_file in output_files:
        output_file.close()




if __name__ == "__main__":
    input_list_path = "/tmp/files"
    output_prefix = "/tmp/merged"
    num_output_files = 16

    merge_files(input_list_path, output_prefix, num_output_files)
    print("File merging complete.")
And got the output: File 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

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
import os

def merge_files(input_filepath, output_prefix, num_output_files):
    """Merges files listed in an input file into multiple output files.

    Args:
        input_filepath: Path to the file containing a list of file paths.
        output_prefix: Prefix for the output file names.
        num_output_files: Number of output files to create.
    """

    try:
        with open(input_filepath, 'r') as f:
            file_paths = [line.strip() for line in f]
    except FileNotFoundError:
        print(f"Error: Input file '{input_filepath}' not found.")
        return

    total_size = 0
    for file_path in file_paths:
        try:
            total_size += os.path.getsize(file_path)
        except FileNotFoundError:
            print(f"Warning: File '{file_path}' not found. Skipping.")

    chunk_size = total_size // num_output_files  # Approximate size of each output file

    output_files = [open(f"{output_prefix}_{i}", 'w') for i in range(num_output_files)]
    current_output_file_index = 0
    current_output_file_size = 0

    for file_path in file_paths:
        try:
            with open(file_path, 'r') as infile:
                for line in infile:
                    output_files[current_output_file_index].write(line)
                    current_output_file_size += len(line.encode()) # Account for encoding

                    if current_output_file_size >= chunk_size:
                        current_output_file_index = (current_output_file_index + 1) % num_output_files  # Cycle through output files
                        current_output_file_size = 0

        except FileNotFoundError:
             print(f"Warning: File '{file_path}' not found. Skipping.")  # Handle missing files gracefully



    for file in output_files:
        file.close()


if __name__ == "__main__":
    input_filepath = "/tmp/files"
    output_prefix = "/tmp/merged"
    num_output_files = 16
    merge_files(input_filepath, output_prefix, num_output_files)
    print("Files merged successfully.")
Key improvements: * **Error Handling:** Includes error handling for missing input files and individual files listed within the input file list. This makes the script more robust. * **File Size Calculation:** Calculates the approximate chunk size based on the total size of the input files, ensuring more even distribution across output files. * **Encoding Awareness:** Uses `len(line.encode())` to account for the size of the line in bytes, rather than characters. This is essential for accurate size calculations, especially with non-ASCII characters. * **Clearer Output:** Prints a success message after merging is complete. * **Modulus Operator for File Cycling:** Uses the modulus operator `%` to efficiently cycle through output files when the `chunk_size` is reached. * **Main Block:** The script uses a `if __name__ == "__main__":` block for better code organization and allows for easier importing and testing. This revised script is more robust, handles potential errors gracefully, and distributes data more evenly across the output files. It also addresses the potential issues with character encoding and provides clearer user feedback.

Extract Code

I extracted the following code from that output: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
import os

def merge_files(input_filepath, output_prefix, num_output_files):
    """Merges files listed in an input file into multiple output files.

    Args:
        input_filepath: Path to the file containing a list of file paths.
        output_prefix: Prefix for the output file names.
        num_output_files: Number of output files to create.
    """

    try:
        with open(input_filepath, 'r') as f:
            file_paths = [line.strip() for line in f]
    except FileNotFoundError:
        print(f"Error: Input file '{input_filepath}' not found.")
        return

    total_size = 0
    for file_path in file_paths:
        try:
            total_size += os.path.getsize(file_path)
        except FileNotFoundError:
            print(f"Warning: File '{file_path}' not found. Skipping.")

    chunk_size = total_size // num_output_files  # Approximate size of each output file

    output_files = [open(f"{output_prefix}_{i}", 'w') for i in range(num_output_files)]
    current_output_file_index = 0
    current_output_file_size = 0

    for file_path in file_paths:
        try:
            with open(file_path, 'r') as infile:
                for line in infile:
                    output_files[current_output_file_index].write(line)
                    current_output_file_size += len(line.encode()) # Account for encoding

                    if current_output_file_size >= chunk_size:
                        current_output_file_index = (current_output_file_index + 1) % num_output_files  # Cycle through output files
                        current_output_file_size = 0

        except FileNotFoundError:
             print(f"Warning: File '{file_path}' not found. Skipping.")  # Handle missing files gracefully



    for file in output_files:
        file.close()


if __name__ == "__main__":
    input_filepath = "/tmp/files"
    output_prefix = "/tmp/merged"
    num_output_files = 16
    merge_files(input_filepath, output_prefix, num_output_files)
    print("Files merged successfully.")

Run Code Interpreter

Running the following program: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
import os

def merge_files(input_filepath, output_prefix, num_output_files):
    """Merges files listed in an input file into multiple output files.

    Args:
        input_filepath: Path to the file containing a list of file paths.
        output_prefix: Prefix for the output file names.
        num_output_files: Number of output files to create.
    """

    try:
        with open(input_filepath, 'r') as f:
            file_paths = [line.strip() for line in f]
    except FileNotFoundError:
        print(f"Error: Input file '{input_filepath}' not found.")
        return

    total_size = 0
    for file_path in file_paths:
        try:
            total_size += os.path.getsize(file_path)
        except FileNotFoundError:
            print(f"Warning: File '{file_path}' not found. Skipping.")

    chunk_size = total_size // num_output_files  # Approximate size of each output file

    output_files = [open(f"{output_prefix}_{i}", 'w') for i in range(num_output_files)]
    current_output_file_index = 0
    current_output_file_size = 0

    for file_path in file_paths:
        try:
            with open(file_path, 'r') as infile:
                for line in infile:
                    output_files[current_output_file_index].write(line)
                    current_output_file_size += len(line.encode()) # Account for encoding

                    if current_output_file_size >= chunk_size:
                        current_output_file_index = (current_output_file_index + 1) % num_output_files  # Cycle through output files
                        current_output_file_size = 0

        except FileNotFoundError:
             print(f"Warning: File '{file_path}' not found. Skipping.")  # Handle missing files gracefully



    for file in output_files:
        file.close()


if __name__ == "__main__":
    input_filepath = "/tmp/files"
    output_prefix = "/tmp/merged"
    num_output_files = 16
    merge_files(input_filepath, output_prefix, num_output_files)
    print("Files merged successfully.")
And got the output: Files merged successfully.

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

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
import os

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

    Args:
        input_filepath: Path to the file containing a list of file paths.
        output_prefix: Prefix for the output file names.
        num_output_files: Number of output files to create.
    """

    try:
        with open(input_filepath, 'r') as f:
            file_paths = [line.strip() for line in f]
    except FileNotFoundError:
        print(f"Error: Input file '{input_filepath}' not found.")
        return

    total_size = 0
    for file_path in file_paths:
        try:
            total_size += os.path.getsize(file_path)
        except FileNotFoundError:
            print(f"Warning: File '{file_path}' not found. Skipping.")

    chunk_size = total_size // num_output_files  # Integer division for approximate size

    output_files = []
    for i in range(num_output_files):
        output_path = f"{output_prefix}_{i}"
        try:
            output_files.append(open(output_path, 'wb'))  # Open in binary mode
        except OSError as e:
            print(f"Error opening output file {output_path}: {e}")
            # Close any already opened files
            for of in output_files:
                of.close()
            return

    current_output_file_index = 0
    current_output_file_size = 0

    for file_path in file_paths:
        try:
            with open(file_path, 'rb') as infile:  # Open in binary mode
                while True:
                    chunk = infile.read(4096) # Read in chunks to handle large files efficiently
                    if not chunk:
                        break
                    output_files[current_output_file_index].write(chunk)
                    current_output_file_size += len(chunk)

                    if current_output_file_size >= chunk_size and current_output_file_index < num_output_files - 1:
                        output_files[current_output_file_index].close()
                        current_output_file_index += 1
                        current_output_file_size = 0


        except FileNotFoundError:
            print(f"Warning: File '{file_path}' not found. Skipping.")
        except Exception as e:  # Catch other potential errors during file processing
            print(f"Error processing file '{file_path}': {e}")

    # Close all output files
    for of in output_files:
        of.close()



if __name__ == "__main__":
    input_file = "/tmp/files"
    output_prefix = "/tmp/merged"
    num_output_files = 16

    merge_files(input_file, output_prefix, num_output_files)
    print("File merging complete.")
Key improvements: * **Error Handling:** Includes `try...except` blocks to handle `FileNotFoundError` and `OSError` for both input and output files. This makes the script more robust. * **Binary Mode:** Opens files in binary mode (`'rb'` and `'wb'`) to correctly handle various file types (not just text). * **Chunking:** Reads and writes data in chunks (using `infile.read(4096)`) to efficiently handle large files without excessive memory usage. * **Clearer Output:** Provides more informative output messages about errors and warnings. * **Closing Files:** Ensures all output files are closed, even in case of errors during processing. * **Simplified Logic:** Improved the logic for switching between output files to make it more straightforward and efficient. This revised version addresses potential issues and is more suitable for handling a large number of files and various file types. Remember to create a dummy `/tmp/files` with your file paths for testing.

Extract Code

I extracted the following code from that output: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
import os

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

    Args:
        input_filepath: Path to the file containing a list of file paths.
        output_prefix: Prefix for the output file names.
        num_output_files: Number of output files to create.
    """

    try:
        with open(input_filepath, 'r') as f:
            file_paths = [line.strip() for line in f]
    except FileNotFoundError:
        print(f"Error: Input file '{input_filepath}' not found.")
        return

    total_size = 0
    for file_path in file_paths:
        try:
            total_size += os.path.getsize(file_path)
        except FileNotFoundError:
            print(f"Warning: File '{file_path}' not found. Skipping.")

    chunk_size = total_size // num_output_files  # Integer division for approximate size

    output_files = []
    for i in range(num_output_files):
        output_path = f"{output_prefix}_{i}"
        try:
            output_files.append(open(output_path, 'wb'))  # Open in binary mode
        except OSError as e:
            print(f"Error opening output file {output_path}: {e}")
            # Close any already opened files
            for of in output_files:
                of.close()
            return

    current_output_file_index = 0
    current_output_file_size = 0

    for file_path in file_paths:
        try:
            with open(file_path, 'rb') as infile:  # Open in binary mode
                while True:
                    chunk = infile.read(4096) # Read in chunks to handle large files efficiently
                    if not chunk:
                        break
                    output_files[current_output_file_index].write(chunk)
                    current_output_file_size += len(chunk)

                    if current_output_file_size >= chunk_size and current_output_file_index < num_output_files - 1:
                        output_files[current_output_file_index].close()
                        current_output_file_index += 1
                        current_output_file_size = 0


        except FileNotFoundError:
            print(f"Warning: File '{file_path}' not found. Skipping.")
        except Exception as e:  # Catch other potential errors during file processing
            print(f"Error processing file '{file_path}': {e}")

    # Close all output files
    for of in output_files:
        of.close()



if __name__ == "__main__":
    input_file = "/tmp/files"
    output_prefix = "/tmp/merged"
    num_output_files = 16

    merge_files(input_file, output_prefix, num_output_files)
    print("File merging complete.")

Run Code Interpreter

Running the following program: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
import os

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

    Args:
        input_filepath: Path to the file containing a list of file paths.
        output_prefix: Prefix for the output file names.
        num_output_files: Number of output files to create.
    """

    try:
        with open(input_filepath, 'r') as f:
            file_paths = [line.strip() for line in f]
    except FileNotFoundError:
        print(f"Error: Input file '{input_filepath}' not found.")
        return

    total_size = 0
    for file_path in file_paths:
        try:
            total_size += os.path.getsize(file_path)
        except FileNotFoundError:
            print(f"Warning: File '{file_path}' not found. Skipping.")

    chunk_size = total_size // num_output_files  # Integer division for approximate size

    output_files = []
    for i in range(num_output_files):
        output_path = f"{output_prefix}_{i}"
        try:
            output_files.append(open(output_path, 'wb'))  # Open in binary mode
        except OSError as e:
            print(f"Error opening output file {output_path}: {e}")
            # Close any already opened files
            for of in output_files:
                of.close()
            return

    current_output_file_index = 0
    current_output_file_size = 0

    for file_path in file_paths:
        try:
            with open(file_path, 'rb') as infile:  # Open in binary mode
                while True:
                    chunk = infile.read(4096) # Read in chunks to handle large files efficiently
                    if not chunk:
                        break
                    output_files[current_output_file_index].write(chunk)
                    current_output_file_size += len(chunk)

                    if current_output_file_size >= chunk_size and current_output_file_index < num_output_files - 1:
                        output_files[current_output_file_index].close()
                        current_output_file_index += 1
                        current_output_file_size = 0


        except FileNotFoundError:
            print(f"Warning: File '{file_path}' not found. Skipping.")
        except Exception as e:  # Catch other potential errors during file processing
            print(f"Error processing file '{file_path}': {e}")

    # Close all output files
    for of in output_files:
        of.close()



if __name__ == "__main__":
    input_file = "/tmp/files"
    output_prefix = "/tmp/merged"
    num_output_files = 16

    merge_files(input_file, output_prefix, num_output_files)
    print("File merging complete.")
And got the output: File 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

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
import os

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

    Args:
        input_filepath: Path to the file containing a list of filepaths.
        output_prefix: Prefix for the output filenames.
        num_output_files: Number of output files to create.
    """

    try:
        with open(input_filepath, 'r') as f:
            filepaths = [line.strip() for line in f]
    except FileNotFoundError:
        print(f"Error: Input file '{input_filepath}' not found.")
        return

    total_size = sum(os.path.getsize(fp) for fp in filepaths if os.path.exists(fp))
    chunk_size = total_size // num_output_files + (1 if total_size % num_output_files else 0)

    output_files = [open(f"{output_prefix}_{i}", "wb") for i in range(num_output_files)]
    current_output_file_index = 0
    current_output_file_size = 0

    for fp in filepaths:
        try:
            with open(fp, 'rb') as infile:  # Open in binary mode
                while True:
                    data = infile.read(4096) # Read in chunks to handle large files efficiently
                    if not data:
                        break

                    remaining_space = chunk_size - current_output_file_size
                    if len(data) <= remaining_space:
                        output_files[current_output_file_index].write(data)
                        current_output_file_size += len(data)

                    else: # Split data if it exceeds the remaining space
                        output_files[current_output_file_index].write(data[:remaining_space])
                        current_output_file_size = 0
                        current_output_file_index = (current_output_file_index + 1) % num_output_files
                        output_files[current_output_file_index].write(data[remaining_space:])
                        current_output_file_size += len(data) - remaining_space
                        
        except FileNotFoundError:
            print(f"Warning: File '{fp}' not found. Skipping.")


    for outfile in output_files:
        outfile.close()


if __name__ == "__main__":
    input_file = "/tmp/files"
    output_prefix = "/tmp/merged"
    num_output = 16
    merge_files(input_file, output_prefix, num_output)
Key improvements: * **Error Handling:** Includes `try-except` blocks to handle `FileNotFoundError` for both the input file listing file paths and the individual files themselves. This makes the script more robust. * **Binary Mode:** Opens files in binary mode (`'rb'` and `'wb'`) which is essential for handling any type of file, not just text files. * **Chunking:** Reads and writes in chunks (using `infile.read(4096)`) to handle potentially very large individual files efficiently. This prevents memory issues if a single file is larger than available RAM. * **Clearer Logic:** Improved the logic for distributing data across output files, making it easier to understand and maintain. Specifically, it handles the case where a single input file might need to be split across multiple output files more gracefully. * **Main Block:** Uses `if __name__ == "__main__":` to encapsulate the main execution logic, which is best practice. This revised version addresses potential errors, handles large files effectively, and is overall more robust and efficient.

Extract Code

I extracted the following code from that output: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
import os

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

    Args:
        input_filepath: Path to the file containing a list of filepaths.
        output_prefix: Prefix for the output filenames.
        num_output_files: Number of output files to create.
    """

    try:
        with open(input_filepath, 'r') as f:
            filepaths = [line.strip() for line in f]
    except FileNotFoundError:
        print(f"Error: Input file '{input_filepath}' not found.")
        return

    total_size = sum(os.path.getsize(fp) for fp in filepaths if os.path.exists(fp))
    chunk_size = total_size // num_output_files + (1 if total_size % num_output_files else 0)

    output_files = [open(f"{output_prefix}_{i}", "wb") for i in range(num_output_files)]
    current_output_file_index = 0
    current_output_file_size = 0

    for fp in filepaths:
        try:
            with open(fp, 'rb') as infile:  # Open in binary mode
                while True:
                    data = infile.read(4096) # Read in chunks to handle large files efficiently
                    if not data:
                        break

                    remaining_space = chunk_size - current_output_file_size
                    if len(data) <= remaining_space:
                        output_files[current_output_file_index].write(data)
                        current_output_file_size += len(data)

                    else: # Split data if it exceeds the remaining space
                        output_files[current_output_file_index].write(data[:remaining_space])
                        current_output_file_size = 0
                        current_output_file_index = (current_output_file_index + 1) % num_output_files
                        output_files[current_output_file_index].write(data[remaining_space:])
                        current_output_file_size += len(data) - remaining_space
                        
        except FileNotFoundError:
            print(f"Warning: File '{fp}' not found. Skipping.")


    for outfile in output_files:
        outfile.close()


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

Run Code Interpreter

Running the following program: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
import os

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

    Args:
        input_filepath: Path to the file containing a list of filepaths.
        output_prefix: Prefix for the output filenames.
        num_output_files: Number of output files to create.
    """

    try:
        with open(input_filepath, 'r') as f:
            filepaths = [line.strip() for line in f]
    except FileNotFoundError:
        print(f"Error: Input file '{input_filepath}' not found.")
        return

    total_size = sum(os.path.getsize(fp) for fp in filepaths if os.path.exists(fp))
    chunk_size = total_size // num_output_files + (1 if total_size % num_output_files else 0)

    output_files = [open(f"{output_prefix}_{i}", "wb") for i in range(num_output_files)]
    current_output_file_index = 0
    current_output_file_size = 0

    for fp in filepaths:
        try:
            with open(fp, 'rb') as infile:  # Open in binary mode
                while True:
                    data = infile.read(4096) # Read in chunks to handle large files efficiently
                    if not data:
                        break

                    remaining_space = chunk_size - current_output_file_size
                    if len(data) <= remaining_space:
                        output_files[current_output_file_index].write(data)
                        current_output_file_size += len(data)

                    else: # Split data if it exceeds the remaining space
                        output_files[current_output_file_index].write(data[:remaining_space])
                        current_output_file_size = 0
                        current_output_file_index = (current_output_file_index + 1) % num_output_files
                        output_files[current_output_file_index].write(data[remaining_space:])
                        current_output_file_size += len(data) - remaining_space
                        
        except FileNotFoundError:
            print(f"Warning: File '{fp}' not found. Skipping.")


    for outfile in output_files:
        outfile.close()


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

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
import os

def merge_files(input_list_file, output_prefix, num_output_files):
    """Merges files listed in an input file into multiple output files.

    Args:
        input_list_file: Path to the file containing the list of file paths.
        output_prefix: Prefix for the output file names.
        num_output_files: Number of output files to create.
    """

    try:
        with open(input_list_file, 'r') as f:
            file_paths = [line.strip() for line in f]
    except FileNotFoundError:
        print(f"Error: Input file '{input_list_file}' not found.")
        return

    total_size = 0
    for file_path in file_paths:
        try:
            total_size += os.path.getsize(file_path)
        except FileNotFoundError:
            print(f"Warning: File '{file_path}' not found, skipping.")
            continue  # Skip files that don't exist

    chunk_size = total_size // num_output_files  # Approximate size of each output file

    output_files = [open(f"{output_prefix}_{i}", 'wb') for i in range(num_output_files)]
    current_output_file_index = 0
    current_output_file_size = 0


    for file_path in file_paths:
        try:
             with open(file_path, 'rb') as infile:
                while True:
                    data = infile.read(4096)  # Read in chunks (adjust as needed)
                    if not data:
                        break
                    output_files[current_output_file_index].write(data)
                    current_output_file_size += len(data)
                    if current_output_file_size >= chunk_size and current_output_file_index < num_output_files - 1:  # Prevent index out of range
                        output_files[current_output_file_index].close()
                        current_output_file_index += 1
                        current_output_file_size = 0


        except FileNotFoundError:
            print(f"Warning: File '{file_path}' not found, skipping.")
            continue

    # Close all output files
    for outfile in output_files:
        outfile.close()


if __name__ == "__main__":
    input_list_file = "/tmp/files"
    output_prefix = "/tmp/merged"
    num_output_files = 16
    merge_files(input_list_file, output_prefix, num_output_files)
    print("File merging complete.")
Key improvements: * **Error Handling:** Handles `FileNotFoundError` for both the input list file and the individual files to be merged. It prints warnings for missing files but continues processing the rest. * **Binary Mode:** Opens files in binary mode (`'rb'` and `'wb'`) which is essential for handling various file types correctly. * **Chunking:** Reads and writes data in chunks (4096 bytes in this example) to handle potentially large files efficiently. * **Output File Management:** Closes all output files properly to ensure data is written to disk. * **Clearer Logic:** Simplified the logic for distributing data among output files. * **Index out of range protection:** Added check to prevent `IndexError` when closing files. **Before running:** 1. **Create `/tmp/files`:** Make sure you have a file named `/tmp/files` in your `/tmp` directory. Each line in this file should contain the full path to a file you want to merge. 2. **File Permissions:** Ensure you have write permissions in the `/tmp` directory. Example `/tmp/files` content: 
1
2
3
4
/path/to/file1.txt
/path/to/file2.bin
/path/to/file3.pdf
...

Extract Code

I extracted the following code from that output: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
import os

def merge_files(input_list_file, output_prefix, num_output_files):
    """Merges files listed in an input file into multiple output files.

    Args:
        input_list_file: Path to the file containing the list of file paths.
        output_prefix: Prefix for the output file names.
        num_output_files: Number of output files to create.
    """

    try:
        with open(input_list_file, 'r') as f:
            file_paths = [line.strip() for line in f]
    except FileNotFoundError:
        print(f"Error: Input file '{input_list_file}' not found.")
        return

    total_size = 0
    for file_path in file_paths:
        try:
            total_size += os.path.getsize(file_path)
        except FileNotFoundError:
            print(f"Warning: File '{file_path}' not found, skipping.")
            continue  # Skip files that don't exist

    chunk_size = total_size // num_output_files  # Approximate size of each output file

    output_files = [open(f"{output_prefix}_{i}", 'wb') for i in range(num_output_files)]
    current_output_file_index = 0
    current_output_file_size = 0


    for file_path in file_paths:
        try:
             with open(file_path, 'rb') as infile:
                while True:
                    data = infile.read(4096)  # Read in chunks (adjust as needed)
                    if not data:
                        break
                    output_files[current_output_file_index].write(data)
                    current_output_file_size += len(data)
                    if current_output_file_size >= chunk_size and current_output_file_index < num_output_files - 1:  # Prevent index out of range
                        output_files[current_output_file_index].close()
                        current_output_file_index += 1
                        current_output_file_size = 0


        except FileNotFoundError:
            print(f"Warning: File '{file_path}' not found, skipping.")
            continue

    # Close all output files
    for outfile in output_files:
        outfile.close()


if __name__ == "__main__":
    input_list_file = "/tmp/files"
    output_prefix = "/tmp/merged"
    num_output_files = 16
    merge_files(input_list_file, output_prefix, num_output_files)
    print("File merging complete.")

Run Code Interpreter

Running the following program: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
import os

def merge_files(input_list_file, output_prefix, num_output_files):
    """Merges files listed in an input file into multiple output files.

    Args:
        input_list_file: Path to the file containing the list of file paths.
        output_prefix: Prefix for the output file names.
        num_output_files: Number of output files to create.
    """

    try:
        with open(input_list_file, 'r') as f:
            file_paths = [line.strip() for line in f]
    except FileNotFoundError:
        print(f"Error: Input file '{input_list_file}' not found.")
        return

    total_size = 0
    for file_path in file_paths:
        try:
            total_size += os.path.getsize(file_path)
        except FileNotFoundError:
            print(f"Warning: File '{file_path}' not found, skipping.")
            continue  # Skip files that don't exist

    chunk_size = total_size // num_output_files  # Approximate size of each output file

    output_files = [open(f"{output_prefix}_{i}", 'wb') for i in range(num_output_files)]
    current_output_file_index = 0
    current_output_file_size = 0


    for file_path in file_paths:
        try:
             with open(file_path, 'rb') as infile:
                while True:
                    data = infile.read(4096)  # Read in chunks (adjust as needed)
                    if not data:
                        break
                    output_files[current_output_file_index].write(data)
                    current_output_file_size += len(data)
                    if current_output_file_size >= chunk_size and current_output_file_index < num_output_files - 1:  # Prevent index out of range
                        output_files[current_output_file_index].close()
                        current_output_file_index += 1
                        current_output_file_size = 0


        except FileNotFoundError:
            print(f"Warning: File '{file_path}' not found, skipping.")
            continue

    # Close all output files
    for outfile in output_files:
        outfile.close()


if __name__ == "__main__":
    input_list_file = "/tmp/files"
    output_prefix = "/tmp/merged"
    num_output_files = 16
    merge_files(input_list_file, output_prefix, num_output_files)
    print("File merging complete.")
And got the output: File merging complete.

PyFunc

final: False Resulting in output: False