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 these all together and splits the content into 16 files called /tmp/merged_%d for i in 0..15 where each is approximately the same size. To do this, sort files by size (largest first) and add files in order always to the smallest one. "/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 these all together and splits the content into 16 files called /tmp/merged_%d for i in 0..15 where each is approximately the same size. To do this, sort files by size (largest first) and add files in order always to the smallest one. "/tmp/files" is a list of file paths, one per line.

Output

Certainly! Below is a Python script that reads a list of file paths from a file located at `/tmp/files`, sorts them by size (largest first), and merges them into 16 output files named `/tmp/merged_0`, `/tmp/merged_1`, ..., `/tmp/merged_15`. The script will distribute the content of the files into the 16 output files in a way that keeps their sizes approximately equal. 

 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
import os

def get_file_sizes(file_path):
    """Returns a list of tuples with (file_path, file_size)"""
    with open(file_path, 'r') as f:
        paths = f.read().splitlines()
    
    return [(path, os.path.getsize(path)) for path in paths]

def merge_files(file_sizes):
    """Merges files into 16 output files, distributing by size"""
    # Sort files by size (largest first)
    sorted_files = sorted(file_sizes, key=lambda x: x[1], reverse=True)

    # Create a list of file handles for the output files
    output_files = [open(f'/tmp/merged_{i}', 'wb') for i in range(16)]
    output_sizes = [0] * 16  # Keep track of the sizes of output files

    # Distribute files into the output files
    for file_path, file_size in sorted_files:
        # Find the index of the smallest output file
        min_index = output_sizes.index(min(output_sizes))
        
        # Read the content of the current file
        with open(file_path, 'rb') as f:
            content = f.read()
            output_files[min_index].write(content)
        
        # Update the size of the chosen output file
        output_sizes[min_index] += file_size

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

def main():
    # Path to the file containing the list of file paths
    input_file = '/tmp/files'
    
    # Get the file sizes
    file_sizes = get_file_sizes(input_file)
    
    # Merge the files
    merge_files(file_sizes)

if __name__ == '__main__':
    main()
### How to Use This Script: 1. Save the script to a file, e.g., `merge_files.py`. 2. Make sure you have Python installed on your system. 3. Create a text file at `/tmp/files` that contains the list of file paths, one per line. 4. Run the script using a command like `python merge_files.py`. ### Important Notes: - Ensure that the script has permission to read the files listed in `/tmp/files` and to write to the `/tmp` directory. - The output files will be binary files (`wb` mode). If the input files are text files and you want the output in text format, you might consider changing the mode to `'w'` and handling text encoding. - Adjust the paths as necessary if you're running this on a different operating system or file structure.

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
import os

def get_file_sizes(file_path):
    """Returns a list of tuples with (file_path, file_size)"""
    with open(file_path, 'r') as f:
        paths = f.read().splitlines()
    
    return [(path, os.path.getsize(path)) for path in paths]

def merge_files(file_sizes):
    """Merges files into 16 output files, distributing by size"""
    # Sort files by size (largest first)
    sorted_files = sorted(file_sizes, key=lambda x: x[1], reverse=True)

    # Create a list of file handles for the output files
    output_files = [open(f'/tmp/merged_{i}', 'wb') for i in range(16)]
    output_sizes = [0] * 16  # Keep track of the sizes of output files

    # Distribute files into the output files
    for file_path, file_size in sorted_files:
        # Find the index of the smallest output file
        min_index = output_sizes.index(min(output_sizes))
        
        # Read the content of the current file
        with open(file_path, 'rb') as f:
            content = f.read()
            output_files[min_index].write(content)
        
        # Update the size of the chosen output file
        output_sizes[min_index] += file_size

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

def main():
    # Path to the file containing the list of file paths
    input_file = '/tmp/files'
    
    # Get the file sizes
    file_sizes = get_file_sizes(input_file)
    
    # Merge the files
    merge_files(file_sizes)

if __name__ == '__main__':
    main()

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
import os

def get_file_sizes(file_path):
    """Returns a list of tuples with (file_path, file_size)"""
    with open(file_path, 'r') as f:
        paths = f.read().splitlines()
    
    return [(path, os.path.getsize(path)) for path in paths]

def merge_files(file_sizes):
    """Merges files into 16 output files, distributing by size"""
    # Sort files by size (largest first)
    sorted_files = sorted(file_sizes, key=lambda x: x[1], reverse=True)

    # Create a list of file handles for the output files
    output_files = [open(f'/tmp/merged_{i}', 'wb') for i in range(16)]
    output_sizes = [0] * 16  # Keep track of the sizes of output files

    # Distribute files into the output files
    for file_path, file_size in sorted_files:
        # Find the index of the smallest output file
        min_index = output_sizes.index(min(output_sizes))
        
        # Read the content of the current file
        with open(file_path, 'rb') as f:
            content = f.read()
            output_files[min_index].write(content)
        
        # Update the size of the chosen output file
        output_sizes[min_index] += file_size

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

def main():
    # Path to the file containing the list of file paths
    input_file = '/tmp/files'
    
    # Get the file sizes
    file_sizes = get_file_sizes(input_file)
    
    # Merge the files
    merge_files(file_sizes)

if __name__ == '__main__':
    main()
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 these all together and splits the content into 16 files called /tmp/merged_%d for i in 0..15 where each is approximately the same size. To do this, sort files by size (largest first) and add files in order always to the smallest one. "/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 these all together and splits the content into 16 files called /tmp/merged_%d for i in 0..15 where each is approximately the same size. To do this, sort files by size (largest first) and add files in order always to the smallest one. "/tmp/files" is a list of file paths, one per line.

Output

You can achieve this by writing a Python script that reads the file paths from `/tmp/files`, sorts them by size, and distributes the file contents into 16 output files named `/tmp/merged_0` to `/tmp/merged_15`. Below is a sample script that implements this logic: 

 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
import os

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

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

def merge_files(file_paths, num_output_files=16):
    """Merge files into approximately equal size output files."""
    # Sort files by size (largest to smallest)
    file_paths.sort(key=get_file_size, reverse=True)

    # Create a list to hold the content and size of each output file
    output_files = [[] for _ in range(num_output_files)]
    output_sizes = [0] * num_output_files

    # Distribute each file to the output file with the smallest current size
    for file_path in file_paths:
        file_size = get_file_size(file_path)
        # Find the index of the output file with the smallest size
        min_index = output_sizes.index(min(output_sizes))
        
        # Add the content to the chosen output file
        with open(file_path, 'r') as f:
            output_files[min_index].append(f.read())
        
        # Update the size of the output file
        output_sizes[min_index] += file_size

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

def main():
    file_list_path = '/tmp/files'
    file_paths = read_file_paths(file_list_path)
    merge_files(file_paths)

if __name__ == '__main__':
    main()
### Explanation: 1. **get_file_size**: This function returns the size of a file given its path. 2. **read_file_paths**: This function reads file paths from a specified file, eliminating any empty lines. 3. **merge_files**: - This function sorts the file paths by size in descending order. - It initializes a list to hold the contents for each of the 16 output files and a list to track their sizes. - For each file, it finds the index of the output file with the smallest size and appends the file's content to that output file's list. - After distributing the contents, it writes the combined content of each output file to the corresponding file on the filesystem. 4. **main**: The entry point of the script that reads the file paths and calls the merging function. ### How to Run: - Save this script to a file, for example `merge_files.py`. - Ensure you have a list of file paths in `/tmp/files`. - Run the script using Python: 
1
python3 merge_files.py
This will create the merged files `/tmp/merged_0` to `/tmp/merged_15` in the desired format.

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
import os

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

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

def merge_files(file_paths, num_output_files=16):
    """Merge files into approximately equal size output files."""
    # Sort files by size (largest to smallest)
    file_paths.sort(key=get_file_size, reverse=True)

    # Create a list to hold the content and size of each output file
    output_files = [[] for _ in range(num_output_files)]
    output_sizes = [0] * num_output_files

    # Distribute each file to the output file with the smallest current size
    for file_path in file_paths:
        file_size = get_file_size(file_path)
        # Find the index of the output file with the smallest size
        min_index = output_sizes.index(min(output_sizes))
        
        # Add the content to the chosen output file
        with open(file_path, 'r') as f:
            output_files[min_index].append(f.read())
        
        # Update the size of the output file
        output_sizes[min_index] += file_size

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

def main():
    file_list_path = '/tmp/files'
    file_paths = read_file_paths(file_list_path)
    merge_files(file_paths)

if __name__ == '__main__':
    main()

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
import os

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

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

def merge_files(file_paths, num_output_files=16):
    """Merge files into approximately equal size output files."""
    # Sort files by size (largest to smallest)
    file_paths.sort(key=get_file_size, reverse=True)

    # Create a list to hold the content and size of each output file
    output_files = [[] for _ in range(num_output_files)]
    output_sizes = [0] * num_output_files

    # Distribute each file to the output file with the smallest current size
    for file_path in file_paths:
        file_size = get_file_size(file_path)
        # Find the index of the output file with the smallest size
        min_index = output_sizes.index(min(output_sizes))
        
        # Add the content to the chosen output file
        with open(file_path, 'r') as f:
            output_files[min_index].append(f.read())
        
        # Update the size of the output file
        output_sizes[min_index] += file_size

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

def main():
    file_list_path = '/tmp/files'
    file_paths = read_file_paths(file_list_path)
    merge_files(file_paths)

if __name__ == '__main__':
    main()
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 these all together and splits the content into 16 files called /tmp/merged_%d for i in 0..15 where each is approximately the same size. To do this, sort files by size (largest first) and add files in order always to the smallest one. "/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 these all together and splits the content into 16 files called /tmp/merged_%d for i in 0..15 where each is approximately the same size. To do this, sort files by size (largest first) and add files in order always to the smallest one. "/tmp/files" is a list of file paths, one per line.

Output

You can achieve this by first reading the file paths from the `/tmp/files` file, sorting them by size, and then distributing the content into 16 output files based on their current sizes. Below is a Python script that implements this logic: 

 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
import os

def get_file_sizes(file_paths):
    """Returns a list of tuples (file_path, file_size) sorted by file size in descending order."""
    file_sizes = [(file_path, os.path.getsize(file_path)) for file_path in file_paths]
    return sorted(file_sizes, key=lambda x: x[1], reverse=True)

def merge_files(input_paths, output_paths):
    """Merges files into the output paths, distributing them based on current sizes."""
    output_sizes = [0] * len(output_paths)  # Initialize sizes for each output file

    for file_path, _ in input_paths:
        # Find the index of the smallest output file
        smallest_index = output_sizes.index(min(output_sizes))
        
        # Append the content of the current file to the smallest output file
        with open(file_path, 'rb') as f:
            content = f.read()
        
        with open(output_paths[smallest_index], 'ab') as out_f:
            out_f.write(content)
        
        # Update the size of the smallest output file
        output_sizes[smallest_index] += os.path.getsize(file_path)

def main():
    input_file = '/tmp/files'
    output_files = [f'/tmp/merged_{i}' for i in range(16)]

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

    # Get sorted file sizes
    sorted_file_sizes = get_file_sizes(file_paths)

    # Merge files into output files
    merge_files(sorted_file_sizes, output_files)

if __name__ == "__main__":
    main()
### Explanation of the Script: 1. **Get File Sizes**: The function `get_file_sizes` retrieves the sizes of the files and sorts them in descending order. 2. **Merge Files**: The `merge_files` function distributes the content of each file into the output files. It always adds the content to the smallest output file by checking the sizes of the output files after each addition. 3. **Main Function**: The `main` function orchestrates reading the list of file paths, sorting them by size, and calling the merging function. 4. **Output Files**: The output files are created in the `/tmp` directory with names `merged_0` to `merged_15`. ### How to Run: 1. Save the script to a file, for example, `merge_files.py`. 2. Make sure you have a list of file paths in `/tmp/files`. 3. Run the script using Python 3: 
1
python3 merge_files.py
### Note: - This script opens each file in binary mode (`'rb'` and `'ab'`) to handle any type of file content. Adjust the file opening mode if you are sure about the file types you are working with (e.g., text files). - Ensure you have permission to read the files and write to the specified output directory.

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
import os

def get_file_sizes(file_paths):
    """Returns a list of tuples (file_path, file_size) sorted by file size in descending order."""
    file_sizes = [(file_path, os.path.getsize(file_path)) for file_path in file_paths]
    return sorted(file_sizes, key=lambda x: x[1], reverse=True)

def merge_files(input_paths, output_paths):
    """Merges files into the output paths, distributing them based on current sizes."""
    output_sizes = [0] * len(output_paths)  # Initialize sizes for each output file

    for file_path, _ in input_paths:
        # Find the index of the smallest output file
        smallest_index = output_sizes.index(min(output_sizes))
        
        # Append the content of the current file to the smallest output file
        with open(file_path, 'rb') as f:
            content = f.read()
        
        with open(output_paths[smallest_index], 'ab') as out_f:
            out_f.write(content)
        
        # Update the size of the smallest output file
        output_sizes[smallest_index] += os.path.getsize(file_path)

def main():
    input_file = '/tmp/files'
    output_files = [f'/tmp/merged_{i}' for i in range(16)]

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

    # Get sorted file sizes
    sorted_file_sizes = get_file_sizes(file_paths)

    # Merge files into output files
    merge_files(sorted_file_sizes, output_files)

if __name__ == "__main__":
    main()

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
import os

def get_file_sizes(file_paths):
    """Returns a list of tuples (file_path, file_size) sorted by file size in descending order."""
    file_sizes = [(file_path, os.path.getsize(file_path)) for file_path in file_paths]
    return sorted(file_sizes, key=lambda x: x[1], reverse=True)

def merge_files(input_paths, output_paths):
    """Merges files into the output paths, distributing them based on current sizes."""
    output_sizes = [0] * len(output_paths)  # Initialize sizes for each output file

    for file_path, _ in input_paths:
        # Find the index of the smallest output file
        smallest_index = output_sizes.index(min(output_sizes))
        
        # Append the content of the current file to the smallest output file
        with open(file_path, 'rb') as f:
            content = f.read()
        
        with open(output_paths[smallest_index], 'ab') as out_f:
            out_f.write(content)
        
        # Update the size of the smallest output file
        output_sizes[smallest_index] += os.path.getsize(file_path)

def main():
    input_file = '/tmp/files'
    output_files = [f'/tmp/merged_{i}' for i in range(16)]

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

    # Get sorted file sizes
    sorted_file_sizes = get_file_sizes(file_paths)

    # Merge files into output files
    merge_files(sorted_file_sizes, output_files)

if __name__ == "__main__":
    main()
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 these all together and splits the content into 16 files called /tmp/merged_%d for i in 0..15 where each is approximately the same size. To do this, sort files by size (largest first) and add files in order always to the smallest one. "/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 these all together and splits the content into 16 files called /tmp/merged_%d for i in 0..15 where each is approximately the same size. To do this, sort files by size (largest first) and add files in order always to the smallest one. "/tmp/files" is a list of file paths, one per line.

Output

You can achieve this by writing a Python script that reads the list of file paths, sorts them by size, and then distributes the contents into 16 output files. Here's a step-by-step implementation: 

 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
import os

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

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

def merge_files(file_paths):
    """Merge files into 16 output files based on size."""
    # Create a list to hold content for each of the 16 files
    output_contents = [''] * 16
    output_sizes = [0] * 16  # Tracks the size of each output file
    
    # Sort the file paths by size (largest first)
    sorted_file_paths = sorted(file_paths, key=get_file_size, reverse=True)
    
    # Distribute files to the output files
    for file_path in sorted_file_paths:
        # Find the index of the output file with the smallest size
        min_index = output_sizes.index(min(output_sizes))
        
        # Read the content of the current file
        with open(file_path, 'r') as f:
            content = f.read()
        
        # Append the content to the selected output
        output_contents[min_index] += content
        output_sizes[min_index] += get_file_size(file_path)

    # Write the output files
    for i in range(16):
        output_file_path = f'/tmp/merged_{i}'
        with open(output_file_path, 'w') as f:
            f.write(output_contents[i])
        print(f'Written {output_file_path} with size {output_sizes[i]} bytes.')

if __name__ == "__main__":
    input_file = '/tmp/files'  # Path to the file containing the list of file paths
    file_paths = read_file_paths(input_file)
    merge_files(file_paths)
### Explanation of the Script: 1. **Function Definitions**: - `get_file_size`: Returns the size of a file in bytes. - `read_file_paths`: Reads file paths from the specified input file (`/tmp/files`), ensuring to strip any whitespace. - `merge_files`: Handles the merging of all specified files. It sorts the files by size and distributes their contents into 16 output files. 2. **Sorting and Merging**: - The list of file paths is sorted based on file size in descending order. - The script keeps track of the sizes of the 16 output files and selects the one with the smallest size to append the next file's content. 3. **Output**: - Each output file is written to `/tmp/merged_0` through `/tmp/merged_15`, and the sizes of the output files are printed after writing. ### How to Run the Script: 1. Save the script to a file, e.g., `merge_files.py`. 2. Make sure you have a text file at `/tmp/files` with the file paths listed. 3. Run the script with Python 3: 
1
2
   python3 merge_files.py
Make sure you have the necessary permissions to read the files and write to the `/tmp` directory.

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
import os

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

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

def merge_files(file_paths):
    """Merge files into 16 output files based on size."""
    # Create a list to hold content for each of the 16 files
    output_contents = [''] * 16
    output_sizes = [0] * 16  # Tracks the size of each output file
    
    # Sort the file paths by size (largest first)
    sorted_file_paths = sorted(file_paths, key=get_file_size, reverse=True)
    
    # Distribute files to the output files
    for file_path in sorted_file_paths:
        # Find the index of the output file with the smallest size
        min_index = output_sizes.index(min(output_sizes))
        
        # Read the content of the current file
        with open(file_path, 'r') as f:
            content = f.read()
        
        # Append the content to the selected output
        output_contents[min_index] += content
        output_sizes[min_index] += get_file_size(file_path)

    # Write the output files
    for i in range(16):
        output_file_path = f'/tmp/merged_{i}'
        with open(output_file_path, 'w') as f:
            f.write(output_contents[i])
        print(f'Written {output_file_path} with size {output_sizes[i]} bytes.')

if __name__ == "__main__":
    input_file = '/tmp/files'  # Path to the file containing the list of file paths
    file_paths = read_file_paths(input_file)
    merge_files(file_paths)

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
import os

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

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

def merge_files(file_paths):
    """Merge files into 16 output files based on size."""
    # Create a list to hold content for each of the 16 files
    output_contents = [''] * 16
    output_sizes = [0] * 16  # Tracks the size of each output file
    
    # Sort the file paths by size (largest first)
    sorted_file_paths = sorted(file_paths, key=get_file_size, reverse=True)
    
    # Distribute files to the output files
    for file_path in sorted_file_paths:
        # Find the index of the output file with the smallest size
        min_index = output_sizes.index(min(output_sizes))
        
        # Read the content of the current file
        with open(file_path, 'r') as f:
            content = f.read()
        
        # Append the content to the selected output
        output_contents[min_index] += content
        output_sizes[min_index] += get_file_size(file_path)

    # Write the output files
    for i in range(16):
        output_file_path = f'/tmp/merged_{i}'
        with open(output_file_path, 'w') as f:
            f.write(output_contents[i])
        print(f'Written {output_file_path} with size {output_sizes[i]} bytes.')

if __name__ == "__main__":
    input_file = '/tmp/files'  # Path to the file containing the list of file paths
    file_paths = read_file_paths(input_file)
    merge_files(file_paths)
And got the output: Written /tmp/merged_0 with size 37028 bytes. Written /tmp/merged_1 with size 37031 bytes. Written /tmp/merged_2 with size 37032 bytes. Written /tmp/merged_3 with size 37030 bytes. Written /tmp/merged_4 with size 37024 bytes. Written /tmp/merged_5 with size 37028 bytes. Written /tmp/merged_6 with size 37027 bytes. Written /tmp/merged_7 with size 37027 bytes. Written /tmp/merged_8 with size 37026 bytes. Written /tmp/merged_9 with size 37031 bytes. Written /tmp/merged_10 with size 37031 bytes. Written /tmp/merged_11 with size 37029 bytes. Written /tmp/merged_12 with size 37031 bytes. Written /tmp/merged_13 with size 37022 bytes. Written /tmp/merged_14 with size 37027 bytes. Written /tmp/merged_15 with size 37029 bytes.

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 these all together and splits the content into 16 files called /tmp/merged_%d for i in 0..15 where each is approximately the same size. To do this, sort files by size (largest first) and add files in order always to the smallest one. "/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 these all together and splits the content into 16 files called /tmp/merged_%d for i in 0..15 where each is approximately the same size. To do this, sort files by size (largest first) and add files in order always to the smallest one. "/tmp/files" is a list of file paths, one per line.

Output

You can achieve this by reading the file paths from `/tmp/files`, sorting them by size, and then distributing them into 16 output files based on their sizes. Below is a Python script that implements this logic: 

 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 get_file_sizes(file_paths):
    """Returns a list of tuples (file_path, file_size)."""
    sizes = []
    for path in file_paths:
        try:
            size = os.path.getsize(path)
            sizes.append((path, size))
        except OSError:
            print(f"Error accessing file: {path}")
    return sizes

def merge_files(file_sizes, num_files=16):
    """Merges files into approximately equal sized output files."""
    output_files = [[] for _ in range(num_files)]
    output_sizes = [0] * num_files

    # Sort files by size (largest first)
    sorted_files = sorted(file_sizes, key=lambda x: x[1], reverse=True)

    # Distribute files to minimize size differences
    for file_path, size in sorted_files:
        # Find the index of the output file with the smallest total size
        min_index = output_sizes.index(min(output_sizes))
        output_files[min_index].append(file_path)
        output_sizes[min_index] += size

    return output_files

def write_merged_files(output_files):
    """Writes the merged contents to output files."""
    for i, files in enumerate(output_files):
        output_path = f"/tmp/merged_{i}"
        with open(output_path, 'wb') as outfile:
            for file_path in files:
                try:
                    with open(file_path, 'rb') as infile:
                        outfile.write(infile.read())
                except OSError:
                    print(f"Error reading file: {file_path}")

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

    # Get file sizes
    file_sizes = get_file_sizes(file_paths)

    # Merge files
    output_files = merge_files(file_sizes)

    # Write merged files
    write_merged_files(output_files)

if __name__ == "__main__":
    main()
### Explanation: 1. **get_file_sizes**: This function retrieves the sizes of the files and returns a list of tuples containing the file path and its size. 2. **merge_files**: This function sorts the files by size in descending order. It then distributes the files into 16 buckets (output files) based on their sizes, always adding the next largest file to the bucket with the smallest total size. 3. **write_merged_files**: This function writes the contents of the files in each bucket to the corresponding output file. 4. **main**: The main function reads the file paths from `/tmp/files`, processes them, and merges them into the respective output files. ### Notes: - Ensure you have the necessary permissions to read the files and to write to `/tmp`. - If any file cannot be accessed (due to permission issues or if it doesn't exist), the script prints an error message but continues processing other files. - The output files will be created in binary mode (`'wb'`) to handle all file types correctly. Adjust if necessary based on your specific use case.

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 get_file_sizes(file_paths):
    """Returns a list of tuples (file_path, file_size)."""
    sizes = []
    for path in file_paths:
        try:
            size = os.path.getsize(path)
            sizes.append((path, size))
        except OSError:
            print(f"Error accessing file: {path}")
    return sizes

def merge_files(file_sizes, num_files=16):
    """Merges files into approximately equal sized output files."""
    output_files = [[] for _ in range(num_files)]
    output_sizes = [0] * num_files

    # Sort files by size (largest first)
    sorted_files = sorted(file_sizes, key=lambda x: x[1], reverse=True)

    # Distribute files to minimize size differences
    for file_path, size in sorted_files:
        # Find the index of the output file with the smallest total size
        min_index = output_sizes.index(min(output_sizes))
        output_files[min_index].append(file_path)
        output_sizes[min_index] += size

    return output_files

def write_merged_files(output_files):
    """Writes the merged contents to output files."""
    for i, files in enumerate(output_files):
        output_path = f"/tmp/merged_{i}"
        with open(output_path, 'wb') as outfile:
            for file_path in files:
                try:
                    with open(file_path, 'rb') as infile:
                        outfile.write(infile.read())
                except OSError:
                    print(f"Error reading file: {file_path}")

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

    # Get file sizes
    file_sizes = get_file_sizes(file_paths)

    # Merge files
    output_files = merge_files(file_sizes)

    # Write merged files
    write_merged_files(output_files)

if __name__ == "__main__":
    main()

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 get_file_sizes(file_paths):
    """Returns a list of tuples (file_path, file_size)."""
    sizes = []
    for path in file_paths:
        try:
            size = os.path.getsize(path)
            sizes.append((path, size))
        except OSError:
            print(f"Error accessing file: {path}")
    return sizes

def merge_files(file_sizes, num_files=16):
    """Merges files into approximately equal sized output files."""
    output_files = [[] for _ in range(num_files)]
    output_sizes = [0] * num_files

    # Sort files by size (largest first)
    sorted_files = sorted(file_sizes, key=lambda x: x[1], reverse=True)

    # Distribute files to minimize size differences
    for file_path, size in sorted_files:
        # Find the index of the output file with the smallest total size
        min_index = output_sizes.index(min(output_sizes))
        output_files[min_index].append(file_path)
        output_sizes[min_index] += size

    return output_files

def write_merged_files(output_files):
    """Writes the merged contents to output files."""
    for i, files in enumerate(output_files):
        output_path = f"/tmp/merged_{i}"
        with open(output_path, 'wb') as outfile:
            for file_path in files:
                try:
                    with open(file_path, 'rb') as infile:
                        outfile.write(infile.read())
                except OSError:
                    print(f"Error reading file: {file_path}")

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

    # Get file sizes
    file_sizes = get_file_sizes(file_paths)

    # Merge files
    output_files = merge_files(file_sizes)

    # Write merged files
    write_merged_files(output_files)

if __name__ == "__main__":
    main()
And got the output:

PyFunc

final: True Resulting in output: True