We tend not to protect against TypeErrors
in Python. To do so runs against the grain of dynamic typing in Python and limits the re-use potential of code we write.
For example, we could test whether the argument was an str
using the built-in isinstance()
function and raise a TypeError
exception if it was not:
def convert(s): """Convert a string to an integer.""" if not isinstance(s, str): raise TypeError("Argument must be a string".) try: return int(s) except (ValueError, TypeError) as e: print("Conversion error: {}".format(str(e)), file=sys.stderr) raise
But then we'd also want to allow arguments that are instances of float
as well. It soon gets complicated if we want to check whether our function will work with types such as rational, complex, or any other kind of number, and in any case, who is to say that it does?!
Alternatively we could intercept TypeError
inside our sqrt()
function and re-raise it,...