mirror of
https://github.com/gsi-upm/soil
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91 lines
2.5 KiB
Python
91 lines
2.5 KiB
Python
from unittest import TestCase
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import os
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import pandas as pd
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import yaml
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from functools import partial
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from os.path import join
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from soil import simulation, analysis, agents
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ROOT = os.path.abspath(os.path.dirname(__file__))
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class Ping(agents.FSM):
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defaults = {
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'count': 0,
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}
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@agents.default_state
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@agents.state
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def even(self):
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self.debug(f'Even {self["count"]}')
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self['count'] += 1
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return self.odd
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@agents.state
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def odd(self):
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self.debug(f'Odd {self["count"]}')
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self['count'] += 1
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return self.even
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class TestAnalysis(TestCase):
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# Code to generate a simple sqlite history
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def setUp(self):
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"""
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The initial states should be applied to the agent and the
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agent should be able to update its state."""
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config = {
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'name': 'analysis',
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'seed': 'seed',
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'network_params': {
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'generator': 'complete_graph',
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'n': 2
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},
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'agent_type': Ping,
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'states': [{'interval': 1}, {'interval': 2}],
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'max_time': 30,
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'num_trials': 1,
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'environment_params': {
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}
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}
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s = simulation.from_config(config)
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self.env = s.run_simulation(dry_run=True)[0]
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def test_saved(self):
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env = self.env
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assert env.get_agent(0)['count', 0] == 1
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assert env.get_agent(0)['count', 29] == 30
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assert env.get_agent(1)['count', 0] == 1
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assert env.get_agent(1)['count', 29] == 15
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assert env['env', 29, None]['SEED'] == env['env', 29, 'SEED']
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def test_count(self):
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env = self.env
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df = analysis.read_sql(env._history.db_path)
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res = analysis.get_count(df, 'SEED', 'state_id')
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assert res['SEED'][self.env['SEED']].iloc[0] == 1
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assert res['SEED'][self.env['SEED']].iloc[-1] == 1
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assert res['state_id']['odd'].iloc[0] == 2
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assert res['state_id']['even'].iloc[0] == 0
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assert res['state_id']['odd'].iloc[-1] == 1
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assert res['state_id']['even'].iloc[-1] == 1
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def test_value(self):
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env = self.env
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df = analysis.read_sql(env._history.db_path)
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res_sum = analysis.get_value(df, 'count')
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assert res_sum['count'].iloc[0] == 2
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import numpy as np
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res_mean = analysis.get_value(df, 'count', aggfunc=np.mean)
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assert res_mean['count'].iloc[15] == (16+8)/2
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res_total = analysis.get_majority(df)
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res_total['SEED'].iloc[0] == self.env['SEED']
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