8 Commits

Author	SHA1	Message	Date
J. Fernando Sánchez	2869b1e1e6	Clean-up ... * Removed old/unnecessary models * Added a `simulation.{iter_}from_py` method to load simulations from python files * Changed tests of examples to run programmatic simulations * Fixed programmatic examples	2022-11-13 20:31:05 +01:00
J. Fernando Sánchez	a1262edd2a	Refactored time ... Treating time and conditions as the same entity was getting confusing, and it added a lot of unnecessary abstraction in a critical part (the scheduler). The scheduling queue now has the time as a floating number (faster), the agent id (for ties) and the condition, as well as the agent. The first three elements (time, id, condition) can be considered as the "key" for the event. To allow for agent execution to be "randomized" within every step, a new parameter has been added to the scheduler, which makes it add a random number to the key in order to change the ordering. `EventedAgent.received` now checks the messages before returning control to the user by default.	2022-10-20 12:15:25 +02:00
J. Fernando Sánchez	880a9f2a1c	black formatting	2022-10-17 20:23:57 +02:00
J. Fernando Sánchez	227fdf050e	Fix conditionals	2022-10-17 19:29:39 +02:00
J. Fernando Sánchez	77d08fc592	Agent step can be a generator	2022-10-17 08:58:51 +02:00
J. Fernando Sánchez	0efcd24d90	Improve exporters	2022-10-16 21:57:30 +02:00
J. Fernando Sánchez	d9947c2c52	WIP: all tests pass ... Documentation needs some improvement The API has been simplified to only allow for ONE topology per NetworkEnvironment. This covers the main use case, and simplifies the code.	2022-10-16 17:56:23 +02:00
J. Fernando Sánchez	cd62c23cb9	WIP: all tests pass	2022-10-13 22:43:16 +02:00