bcb-0018

1.000

5/5 tests· lib-knowledge

Proposed solution

```python
import subprocess
import csv
import glob
import random
import os

def task_func(file):
    """
    Divide a CSV file into several smaller files and shuffle the lines in each file.
    
    This function takes a CSV file path as input, divides it into smaller files using 
    the shell 'split' command, and shuffles the rows in each of the resulting files.
    The output files are named with a 'split_' prefix.

    Parameters:
    - file (str): The path to the CSV file.

    Returns:
    - list: The paths to the split files. Returns an empty list if the file does not exist, is not a CSV file, or if an error occurs during processing.
    
    Requirements:
    - subprocess
    - csv
    - glob
    - random
    - os

    Example:
    >>> task_func('/path/to/file.csv')
    ['/path/to/split_00', '/path/to/split_01', ...]
    """
    if not os.path.isfile(file) or not file.endswith('.csv'):
        return []

    try:
        # Use the shell 'split' command to divide the CSV file into smaller files
        subprocess.run(['split', '-l', '1000', file, 'split_'], check=True)

        # Get the list of split files
        split_files = glob.glob(f'split_*')

        # Shuffle the lines in each split file
        for split_file in split_files:
            with open(split_file, 'r') as f:
                lines = f.readlines()
            random.shuffle(lines)
            with open(split_file, 'w') as f:
                f.writelines(lines)

        return split_files
    except subprocess.CalledProcessError:
        return []
    except Exception:
        return []
```

Test output (stdout)

.....                                                                    [100%]
5 passed in 0.03s

System prompt

You are an expert programmer. Solve the task exactly as specified. Output your solution as fenced code blocks using the required file name(s) and the exact function/type signatures requested. Prefer correctness; do not include prose outside code unless asked.