I'm trying to copy from one directory to another, and rename them at the same time by calling 'cp' like so:
directories = ['/Users/Me/Folder1/File1.txt', '/Users/Me/Folder/File2.txt']output = ['/Users/Me/Folder2/Hello.txt', 'Users/Me/Folder2/World.txt'] for in, out, in zip(directories, output):subprocess.call('cp', in, out)But it returns:
File "./test.py", line 33, in <module>subprocess.call('cp', in, out)File "/usr/local/Cellar/python/2.7.10_2/Frameworks/Python.framework/Versions/2.7/lib/python2.7/subprocess.py", line 522, in callreturn Popen(*popenargs, **kwargs).wait()File "/usr/local/Cellar/python/2.7.10_2/Frameworks/Python.framework/Versions/2.7/lib/python2.7/subprocess.py", line 659, in __init__raise TypeError("bufsize must be an integer")TypeError: bufsize must be an integerWhat am I doing wrong?
Best Answer
You've got two problems:
1 - subprocess.call() expects a list of arguments, not multiple arguments:
#wrongsubprocess.call('cp', in, out)#rightsubprocess.call(['cp', in, out])2 - in is a python reserved keyword, change it to something like inp:
#wrongsubprocess.call(['cp', in, out])#rightsubprocess.call(['cp', inp, out])The bufsize parameter is an important aspect in programming, as it determines the size of the buffer used for input/output operations. It is crucial to understand that this parameter must always be an integer value to ensure optimal performance for your code.
When bufsize is set to a non-integer value, it can lead to unexpected behavior and errors in your program. Therefore, it is highly recommended to double-check and validate that the bufsize value is an integer before using it in your code.
By using bufsize as an integer, you can ensure that the buffer size is set appropriately, which can significantly improve the efficiency and speed of your code execution. It allows your program to allocate the right amount of memory for buffering operations, resulting in smoother data transfers and reduced latency.
Always remember to validate and sanitize user input when dealing with the bufsize parameter to prevent any potential security vulnerabilities or runtime errors. Keeping these best practices in mind will contribute to the overall stability and reliability of your code.