The idea is a simple one. You can use a module as a container.
Most introductions to Python tell you all about how to get stuff — that is, how to import stuff — *from* imported modules. They talk very little about writing stuff *to* imported modules. But it can be done.
Here is a simple example.
Let’s start with the intended container module, mem.py. I’d show you the contents of mem.py, except for the fact that there aren’t any. mem.py is empty.
Next let’s look at two modules that import and use mem.py.
The caller module is leader.py. Note that it imports mem and also imports the subordinate module, minion. (Note the use of the print() function; we’re running Python 3 here.)
"leader.py" import mem import minion mem.x = "foo" print("leader says:",mem.x) minion.main() print("leader says:",mem.x) print() mem.x = "bar" print("leader says:",mem.x) minion.main() print("leader says:",mem.x)
The subordinate module is minion.py.
"minion.py" import mem def main(): print("minion says:",mem.x) mem.x = "value reset by minion from " + mem.x
If you run leader.py it imports minion and mem, and uses mem as a container for variable x. It assigns a value to x in mem and calls minion, which reads mem.x and resets mem.x’s value, which leader then reads.
When you run leader.py, you see this output:
leader says: foo minion says: foo leader says: value reset by minion from foo leader says: bar minion says: bar leader says: value reset by minion from bar
Note that leader.py passes no arguments to minion.main() and minion.main() doesn’t return anything (other than None, of course). Leader and minion communicate solely by means of the variables set in mem. And the communication is clearly two-way. Leader sets values that minion reads, and minion sets values that leader reads.
So what we have here, in mem, is a truly global container. It is not “module global” as in the Globals Class pattern. It is “application global” — it is global across the multiple modules that make up an application. In order to gain access to this container, modules simply import it.
In keeping with the earlier posts’ grandiosity, I will call this use of an imported module the Globals Module pattern.
Every Python programmer is familiar with one special case of the Globals Module pattern. Just rename mem.py to config.py, stuff it with a bunch of constants or configuration variables, and you have a typical Python file for defining constants or setting configuration values. These values are “application global”, available to all module in an application. All they have to do is to import config.py.
Doing a bit of arm-waving, and christening a Globals Module pattern, does one thing. It reminds us that modules — used as containers for “application global” values — aren’t limited to supplying constants and pre-set values. Modules can also be written to. The communication between “normal” modules and Globals Modules is a two-way street.