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#!/usr/bin/env python3
from dfatool.dfatool import AnalyticModel, TimingData, pta_trace_to_aggregate
from dfatool.parameters import prune_dependent_parameters
import unittest
class TestModels(unittest.TestCase):
def test_model_singlefile_rf24(self):
raw_data = TimingData(["test-data/20190815_111745_nRF24_no-rx.json"])
preprocessed_data = raw_data.get_preprocessed_data()
by_name, parameters, arg_count = pta_trace_to_aggregate(preprocessed_data)
model = AnalyticModel(by_name, parameters, arg_count)
self.assertEqual(model.names, "setPALevel setRetries setup write".split(" "))
static_model = model.get_static()
self.assertAlmostEqual(static_model("setPALevel", "duration"), 146, places=0)
self.assertAlmostEqual(static_model("setRetries", "duration"), 73, places=0)
self.assertAlmostEqual(static_model("setup", "duration"), 6533, places=0)
self.assertAlmostEqual(static_model("write", "duration"), 12634, places=0)
for transition in "setPALevel setRetries setup write".split(" "):
self.assertAlmostEqual(
model.stats.param_dependence_ratio(transition, "duration", "channel"),
0,
places=2,
)
param_model, param_info = model.get_fitted()
self.assertEqual(param_info("setPALevel", "duration"), None)
self.assertEqual(param_info("setRetries", "duration"), None)
self.assertEqual(param_info("setup", "duration"), None)
self.assertEqual(
param_info("write", "duration")["function"].model_function,
"0 + regression_arg(0) + regression_arg(1) * parameter(max_retry_count) + regression_arg(2) * parameter(retry_delay) + regression_arg(3) * parameter(max_retry_count) * parameter(retry_delay)",
)
self.assertAlmostEqual(
param_info("write", "duration")["function"].model_args[0],
1163,
places=0,
)
self.assertAlmostEqual(
param_info("write", "duration")["function"].model_args[1],
464,
places=0,
)
self.assertAlmostEqual(
param_info("write", "duration")["function"].model_args[2], 1, places=0
)
self.assertAlmostEqual(
param_info("write", "duration")["function"].model_args[3], 1, places=0
)
def test_dependent_parameter_pruning(self):
raw_data = TimingData(["test-data/20190815_103347_nRF24_no-rx.json"])
preprocessed_data = raw_data.get_preprocessed_data()
by_name, parameters, arg_count = pta_trace_to_aggregate(preprocessed_data)
prune_dependent_parameters(by_name, parameters)
model = AnalyticModel(by_name, parameters, arg_count)
self.assertEqual(
model.names, "getObserveTx setPALevel setRetries setup write".split(" ")
)
static_model = model.get_static()
self.assertAlmostEqual(static_model("getObserveTx", "duration"), 75, places=0)
self.assertAlmostEqual(static_model("setPALevel", "duration"), 146, places=0)
self.assertAlmostEqual(static_model("setRetries", "duration"), 73, places=0)
self.assertAlmostEqual(static_model("setup", "duration"), 6533, places=0)
self.assertAlmostEqual(static_model("write", "duration"), 12634, places=0)
for transition in "getObserveTx setPALevel setRetries setup write".split(" "):
self.assertAlmostEqual(
model.stats.param_dependence_ratio(transition, "duration", "channel"),
0,
places=2,
)
param_model, param_info = model.get_fitted()
self.assertEqual(param_info("getObserveTx", "duration"), None)
self.assertEqual(param_info("setPALevel", "duration"), None)
self.assertEqual(param_info("setRetries", "duration"), None)
self.assertEqual(param_info("setup", "duration"), None)
self.assertEqual(
param_info("write", "duration")["function"].model_function,
"0 + regression_arg(0) + regression_arg(1) * parameter(max_retry_count) + regression_arg(2) * parameter(retry_delay) + regression_arg(3) * parameter(max_retry_count) * parameter(retry_delay)",
)
self.assertAlmostEqual(
param_info("write", "duration")["function"].model_args[0],
1163,
places=0,
)
self.assertAlmostEqual(
param_info("write", "duration")["function"].model_args[1],
464,
places=0,
)
self.assertAlmostEqual(
param_info("write", "duration")["function"].model_args[2], 1, places=0
)
self.assertAlmostEqual(
param_info("write", "duration")["function"].model_args[3], 1, places=0
)
def test_function_override(self):
raw_data = TimingData(["test-data/20190815_122531_nRF24_no-rx.json"])
preprocessed_data = raw_data.get_preprocessed_data()
by_name, parameters, arg_count = pta_trace_to_aggregate(preprocessed_data)
model = AnalyticModel(
by_name,
parameters,
arg_count,
function_override={
(
"write",
"duration",
): "(parameter(auto_ack!) * (regression_arg(0) + regression_arg(1) * parameter(max_retry_count) + regression_arg(2) * parameter(retry_delay) + regression_arg(3) * parameter(max_retry_count) * parameter(retry_delay))) + ((1 - parameter(auto_ack!)) * regression_arg(4))"
},
)
self.assertEqual(
model.names, "setAutoAck setPALevel setRetries setup write".split(" ")
)
static_model = model.get_static()
self.assertAlmostEqual(static_model("setAutoAck", "duration"), 72, places=0)
self.assertAlmostEqual(static_model("setPALevel", "duration"), 146, places=0)
self.assertAlmostEqual(static_model("setRetries", "duration"), 73, places=0)
self.assertAlmostEqual(static_model("setup", "duration"), 6533, places=0)
self.assertAlmostEqual(static_model("write", "duration"), 1181, places=0)
for transition in "setAutoAck setPALevel setRetries setup write".split(" "):
self.assertAlmostEqual(
model.stats.param_dependence_ratio(transition, "duration", "channel"),
0,
places=2,
)
param_model, param_info = model.get_fitted()
self.assertEqual(param_info("setAutoAck", "duration"), None)
self.assertEqual(param_info("setPALevel", "duration"), None)
self.assertEqual(param_info("setRetries", "duration"), None)
self.assertEqual(param_info("setup", "duration"), None)
self.assertEqual(
param_info("write", "duration")["function"].model_function,
"(parameter(auto_ack!) * (regression_arg(0) + regression_arg(1) * parameter(max_retry_count) + regression_arg(2) * parameter(retry_delay) + regression_arg(3) * parameter(max_retry_count) * parameter(retry_delay))) + ((1 - parameter(auto_ack!)) * regression_arg(4))",
)
self.assertAlmostEqual(
param_info("write", "duration")["function"].model_args[0],
1162,
places=0,
)
self.assertAlmostEqual(
param_info("write", "duration")["function"].model_args[1],
464,
places=0,
)
self.assertAlmostEqual(
param_info("write", "duration")["function"].model_args[2], 1, places=0
)
self.assertAlmostEqual(
param_info("write", "duration")["function"].model_args[3], 1, places=0
)
self.assertAlmostEqual(
param_info("write", "duration")["function"].model_args[4],
1086,
places=0,
)
if __name__ == "__main__":
unittest.main()
|
