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https://github.com/gsi-upm/soil
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Add random activation example
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@ -3,10 +3,10 @@ All notable changes to this project will be documented in this file.
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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## [Unreleased]
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## [0.20.0]
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### Added
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* Integration with MESA
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* `not_agent_ids` paramter to get sql in history
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* `not_agent_ids` parameter to get sql in history
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### Changed
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* `soil.Environment` now also inherits from `mesa.Model`
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* `soil.Agent` now also inherits from `mesa.Agent`
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@ -16,11 +16,8 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
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### Removed
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* `simpy` dependency and compatibility. Each agent used to be a simpy generator, but that made debugging and error handling more complex. That has been replaced by a scheduler within the `soil.Environment` class, similar to how `mesa` does it.
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* `soil.history` is now a separate package named `tsih`. The keys namedtuple uses `dict_id` instead of `agent_id`.
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### Added
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* An option to choose whether a database should be used for history
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## [0.15.2]
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### Fixed
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* Pass the right known_modules and parameters to stats discovery in simulation
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31
examples/random_delays/random_delays.py
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31
examples/random_delays/random_delays.py
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'''
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Example of setting a
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Example of a fully programmatic simulation, without definition files.
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'''
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from soil import Simulation, agents
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from soil.time import Delta
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from networkx import Graph
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from random import expovariate
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import logging
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class MyAgent(agents.FSM):
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@agents.default_state
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@agents.state
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def neutral(self):
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self.info('I am running')
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return None, Delta(expovariate(1/16))
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s = Simulation(name='Programmatic',
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network_agents=[{'agent_type': MyAgent, 'id': 0}],
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topology={'nodes': [{'id': 0}], 'links': []},
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num_trials=1,
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max_time=100,
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agent_type=MyAgent,
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dry_run=True)
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logging.basicConfig(level=logging.INFO)
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envs = s.run()
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