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Using Python 3's function annotations, it is possible to specify the type of items contained within a homogeneous list (or other collection) for the purpose of type hinting in PyCharm and other IDEs?
A pseudo-python code example for a list of int:
def my_func(l:list<int>): pass I know it's possible using Docstring...
def my_func(l): """ :type l: list[int] """ pass ... but I prefer the annotation style if it's possible.
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Here's how you can add type hints to our function: Add a colon and a data type after each function parameter. Add an arrow ( -> ) and a data type after the function to specify the return data type.
Type hints help you build and maintain a cleaner architecture. The act of writing type hints forces you to think about the types in your program. While the dynamic nature of Python is one of its great assets, being conscious about relying on duck typing, overloaded methods, or multiple return types is a good thing.
Syntax of the Python type() function The type() function is used to get the type of an object. When a single argument is passed to the type() function, it returns the type of the object. Its value is the same as the object.
Python introduced type hint (also known as type annotation) in version 3.5. The goal is to provide an easier way to perform a static analysis, potential runtime type checking, and code generation utilizing type information. It is important to note that Python doesn't perform any kind of type checking at runtime.
Answering my own question; the TLDR answer is No Yes.
Update 2
In September 2015, Python 3.5 was released with support for Type Hints and includes a new typing module. This allows for the specification of types contained within collections. As of November 2015, JetBrains PyCharm 5.0 fully supports Python 3.5 to include Type Hints as illustrated below.
Update 1
As of May 2015, PEP0484 (Type Hints) has been formally accepted. The draft implementation is also available at github under ambv/typehinting.
Original Answer
As of Aug 2014, I have confirmed that it is not possible to use Python 3 type annotations to specify types within collections (ex: a list of strings).
The use of formatted docstrings such as reStructuredText or Sphinx are viable alternatives and supported by various IDEs.
It also appears that Guido is mulling over the idea of extending type annotations in the spirit of mypy: http://mail.python.org/pipermail/python-ideas/2014-August/028618.html
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