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Copy pathtest_controls.py
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899 lines (819 loc) · 33.2 KB
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"""Test the controls module."""
import contextlib
import os
import tempfile
from typing import Any, Union
import pydantic
import pytest
from ratapi.controls import Controls, fields
from ratapi.utils.enums import BoundHandling, Display, Parallel, Procedures, Strategies
@pytest.fixture
def IPC_controls():
"""A controls object with a temporary file set as the IPC file."""
IPC_controls = Controls()
IPC_obj, IPC_controls._IPCFilePath = tempfile.mkstemp()
os.close(IPC_obj)
yield IPC_controls
with contextlib.suppress(FileNotFoundError):
os.remove(IPC_controls._IPCFilePath)
def test_initialise_procedure_error() -> None:
"""Tests for a ValidationError if the procedure property of the Controls class is initialised with an invalid
value.
"""
with pytest.raises(pydantic.ValidationError, match="Input should be 'calculate', 'simplex', 'de', 'ns' or 'dream'"):
Controls(procedure="test")
def test_set_procedure_error() -> None:
"""Tests for a ValidationError if the procedure property of the Controls class is set to an invalid value."""
controls = Controls()
with pytest.raises(pydantic.ValidationError, match="Input should be 'calculate', 'simplex', 'de', 'ns' or 'dream'"):
controls.procedure = "test"
def test_extra_property_error() -> None:
"""Tests the extra property setter in the Controls class."""
controls = Controls()
with pytest.raises(pydantic.ValidationError, match="Object has no attribute 'test'"):
controls.test = 1
class TestCalculate:
"""Tests the Calculate class."""
@pytest.fixture(autouse=True)
def setup_class(self):
self.calculate = Controls()
@pytest.fixture
def table_str(self):
table_str = (
"+------------------+-----------+\n"
"| Property | Value |\n"
"+------------------+-----------+\n"
"| procedure | calculate |\n"
"| parallel | single |\n"
"| calcSldDuringFit | False |\n"
"| resampleMinAngle | 0.9 |\n"
"| resampleNPoints | 50 |\n"
"| display | iter |\n"
"+------------------+-----------+"
)
return table_str
@pytest.mark.parametrize(
"control_property, value",
[
("parallel", Parallel.Single),
("calcSldDuringFit", False),
("resampleMinAngle", 0.9),
("resampleNPoints", 50),
("display", Display.Iter),
("procedure", Procedures.Calculate),
],
)
def test_calculate_property_values(self, control_property: str, value: Any) -> None:
"""Tests the default values of Calculate class."""
assert getattr(self.calculate, control_property) == value
@pytest.mark.parametrize(
"control_property, value",
[
("parallel", Parallel.Points),
("calcSldDuringFit", True),
("resampleMinAngle", 0.2),
("resampleNPoints", 1),
("display", Display.Notify),
],
)
def test_calculate_property_setters(self, control_property: str, value: Any) -> None:
"""Tests the setters of Calculate class."""
setattr(self.calculate, control_property, value)
assert getattr(self.calculate, control_property) == value
@pytest.mark.parametrize(
"wrong_property, value",
[
("xTolerance", 4e-6),
("funcTolerance", 3e-4),
("maxFuncEvals", 100),
("maxIterations", 50),
("updateFreq", 4),
("updatePlotFreq", 3),
("populationSize", 200),
("fWeight", 0.3),
("crossoverProbability", 0.4),
("strategy", Strategies.BestWithJitter),
("targetValue", 2.0),
("numGenerations", 50),
("nLive", 1500),
("nMCMC", 1),
("propScale", 0.5),
("nsTolerance", 0.8),
("nSamples", 500),
("nChains", 1000),
("jumpProbability", 0.7),
("pUnitGamma", 0.3),
("boundHandling", BoundHandling.Fold),
("adaptPCR", False),
],
)
def test_initialise_non_calculate_properties(self, wrong_property: str, value: Any) -> None:
incorrect_procedures = [key for (key, value) in fields.items() if wrong_property in value]
with pytest.warns(
UserWarning,
match=f'\nThe current controls procedure is "calculate", but the property'
f' "{wrong_property}" applies instead to the'
f" {', '.join(incorrect_procedures)} procedure.\n\n"
f' The fields for the "calculate" controls procedure are:\n'
f" {', '.join(fields['calculate'])}\n",
):
Controls(procedure=Procedures.Calculate, **{wrong_property: value})
@pytest.mark.parametrize(
"wrong_property, value",
[
("xTolerance", 4e-6),
("funcTolerance", 3e-4),
("maxFuncEvals", 100),
("maxIterations", 50),
("updateFreq", 4),
("updatePlotFreq", 3),
("populationSize", 200),
("fWeight", 0.3),
("crossoverProbability", 0.4),
("strategy", Strategies.BestWithJitter),
("targetValue", 2.0),
("numGenerations", 50),
("nLive", 1500),
("nMCMC", 1),
("propScale", 0.5),
("nsTolerance", 0.8),
("nSamples", 500),
("nChains", 1000),
("jumpProbability", 0.7),
("pUnitGamma", 0.3),
("boundHandling", BoundHandling.Fold),
("adaptPCR", False),
],
)
def test_set_non_calculate_properties(self, wrong_property: str, value: Any) -> None:
incorrect_procedures = [key for (key, value) in fields.items() if wrong_property in value]
with pytest.warns(
UserWarning,
match=f'\nThe current controls procedure is "calculate", but the property'
f' "{wrong_property}" applies instead to the'
f" {', '.join(incorrect_procedures)} procedure.\n\n"
f' The fields for the "calculate" controls procedure are:\n'
f" {', '.join(fields['calculate'])}\n",
):
setattr(self.calculate, wrong_property, value)
@pytest.mark.parametrize("value", ["test", "ALL", "Contrast", True, 1, 3.0])
def test_calculate_parallel_validation(self, value: Any) -> None:
"""Tests the parallel setter validation in Calculate class."""
with pytest.raises(pydantic.ValidationError, match="Input should be 'single', 'points' or 'contrasts'"):
self.calculate.parallel = value
@pytest.mark.parametrize("value", [5.0, 12])
def test_calculate_calcSldDuringFit_validation(self, value: Union[int, float]) -> None:
"""Tests the calcSldDuringFit setter validation in Calculate class."""
with pytest.raises(
pydantic.ValidationError, match="Input should be a valid boolean, unable to interpret input"
):
self.calculate.calcSldDuringFit = value
@pytest.mark.parametrize("value", ["test", "iterate", True, 1, 3.0])
def test_calculate_display_validation(self, value: Any) -> None:
"""Tests the display setter validation in Calculate class."""
with pytest.raises(pydantic.ValidationError, match="Input should be 'off', 'iter', 'notify' or 'final'"):
self.calculate.display = value
def test_str(self, table_str) -> None:
"""Tests the Calculate model __str__."""
assert self.calculate.__str__() == table_str
class TestSimplex:
"""Tests the Simplex class."""
@pytest.fixture(autouse=True)
def setup_class(self):
self.simplex = Controls(procedure=Procedures.Simplex)
@pytest.fixture
def table_str(self):
table_str = (
"+------------------+---------+\n"
"| Property | Value |\n"
"+------------------+---------+\n"
"| procedure | simplex |\n"
"| parallel | single |\n"
"| calcSldDuringFit | False |\n"
"| resampleMinAngle | 0.9 |\n"
"| resampleNPoints | 50 |\n"
"| display | iter |\n"
"| xTolerance | 1e-06 |\n"
"| funcTolerance | 1e-06 |\n"
"| maxFuncEvals | 10000 |\n"
"| maxIterations | 1000 |\n"
"| updateFreq | 1 |\n"
"| updatePlotFreq | 20 |\n"
"+------------------+---------+"
)
return table_str
@pytest.mark.parametrize(
"control_property, value",
[
("parallel", Parallel.Single),
("calcSldDuringFit", False),
("resampleMinAngle", 0.9),
("resampleNPoints", 50),
("display", Display.Iter),
("procedure", Procedures.Simplex),
("xTolerance", 1e-6),
("funcTolerance", 1e-6),
("maxFuncEvals", 10000),
("maxIterations", 1000),
("updateFreq", 1),
("updatePlotFreq", 20),
],
)
def test_simplex_property_values(self, control_property: str, value: Any) -> None:
"""Tests the default values of Simplex class."""
assert getattr(self.simplex, control_property) == value
@pytest.mark.parametrize(
"control_property, value",
[
("parallel", Parallel.Points),
("calcSldDuringFit", True),
("resampleMinAngle", 0.2),
("resampleNPoints", 1),
("display", Display.Notify),
("xTolerance", 4e-6),
("funcTolerance", 3e-4),
("maxFuncEvals", 100),
("maxIterations", 50),
("updateFreq", 4),
("updatePlotFreq", 3),
],
)
def test_simplex_property_setters(self, control_property: str, value: Any) -> None:
"""Tests the setters of Simplex class."""
setattr(self.simplex, control_property, value)
assert getattr(self.simplex, control_property) == value
@pytest.mark.parametrize(
"wrong_property, value",
[
("populationSize", 200),
("fWeight", 0.3),
("crossoverProbability", 0.4),
("strategy", Strategies.BestWithJitter),
("targetValue", 2.0),
("numGenerations", 50),
("nLive", 1500),
("nMCMC", 1),
("propScale", 0.5),
("nsTolerance", 0.8),
("nSamples", 500),
("nChains", 1000),
("jumpProbability", 0.7),
("pUnitGamma", 0.3),
("boundHandling", BoundHandling.Fold),
("adaptPCR", False),
],
)
def test_initialise_non_simplex_properties(self, wrong_property: str, value: Any) -> None:
incorrect_procedures = [key for (key, value) in fields.items() if wrong_property in value]
with pytest.warns(
UserWarning,
match=f'\nThe current controls procedure is "simplex", but the property'
f' "{wrong_property}" applies instead to the'
f" {', '.join(incorrect_procedures)} procedure.\n\n"
f' The fields for the "simplex" controls procedure are:\n'
f" {', '.join(fields['simplex'])}\n",
):
Controls(procedure=Procedures.Simplex, **{wrong_property: value})
@pytest.mark.parametrize(
"wrong_property, value",
[
("populationSize", 200),
("fWeight", 0.3),
("crossoverProbability", 0.4),
("strategy", Strategies.BestWithJitter),
("targetValue", 2.0),
("numGenerations", 50),
("nLive", 1500),
("nMCMC", 1),
("propScale", 0.5),
("nsTolerance", 0.8),
("nSamples", 500),
("nChains", 1000),
("jumpProbability", 0.7),
("pUnitGamma", 0.3),
("boundHandling", BoundHandling.Fold),
("adaptPCR", False),
],
)
def test_set_non_simplex_properties(self, wrong_property: str, value: Any) -> None:
incorrect_procedures = [key for (key, value) in fields.items() if wrong_property in value]
with pytest.warns(
UserWarning,
match=f'\nThe current controls procedure is "simplex", but the property'
f' "{wrong_property}" applies instead to the'
f" {', '.join(incorrect_procedures)} procedure.\n\n"
f' The fields for the "simplex" controls procedure are:\n'
f" {', '.join(fields['simplex'])}\n",
):
setattr(self.simplex, wrong_property, value)
@pytest.mark.parametrize(
"control_property, value",
[
("xTolerance", -4e-6),
("funcTolerance", -3e-4),
("maxFuncEvals", -100),
("maxIterations", -50),
],
)
def test_simplex_property_errors(self, control_property: str, value: Union[float, int]) -> None:
"""Tests the property errors of Simplex class."""
with pytest.raises(pydantic.ValidationError, match="Input should be greater than 0"):
setattr(self.simplex, control_property, value)
def test_str(self, table_str) -> None:
"""Tests the Simplex model __str__."""
assert self.simplex.__str__() == table_str
class TestDE:
"""Tests the DE class."""
@pytest.fixture(autouse=True)
def setup_class(self):
self.de = Controls(procedure=Procedures.DE)
@pytest.fixture
def table_str(self):
table_str = (
"+----------------------+---------------+\n"
"| Property | Value |\n"
"+----------------------+---------------+\n"
"| procedure | de |\n"
"| parallel | single |\n"
"| calcSldDuringFit | False |\n"
"| resampleMinAngle | 0.9 |\n"
"| resampleNPoints | 50 |\n"
"| display | iter |\n"
"| populationSize | 20 |\n"
"| fWeight | 0.5 |\n"
"| crossoverProbability | 0.8 |\n"
"| strategy | vector dither |\n"
"| targetValue | 1.0 |\n"
"| numGenerations | 500 |\n"
"| updateFreq | 1 |\n"
"| updatePlotFreq | 20 |\n"
"+----------------------+---------------+"
)
return table_str
@pytest.mark.parametrize(
"control_property, value",
[
("parallel", Parallel.Single),
("calcSldDuringFit", False),
("resampleMinAngle", 0.9),
("resampleNPoints", 50),
("display", Display.Iter),
("procedure", Procedures.DE),
("populationSize", 20),
("fWeight", 0.5),
("crossoverProbability", 0.8),
("strategy", Strategies.RandomWithPerVectorDither),
("targetValue", 1),
("numGenerations", 500),
],
)
def test_de_property_values(self, control_property: str, value: Any) -> None:
"""Tests the default values of DE class."""
assert getattr(self.de, control_property) == value
@pytest.mark.parametrize(
"control_property, value",
[
("parallel", Parallel.Points),
("calcSldDuringFit", True),
("resampleMinAngle", 0.2),
("resampleNPoints", 1),
("display", Display.Notify),
("populationSize", 20),
("fWeight", 0.3),
("crossoverProbability", 0.4),
("strategy", Strategies.BestWithJitter),
("targetValue", 2.0),
("numGenerations", 50),
],
)
def test_de_property_setters(self, control_property: str, value: Any) -> None:
"""Tests the setters of DE class."""
setattr(self.de, control_property, value)
assert getattr(self.de, control_property) == value
@pytest.mark.parametrize(
"wrong_property, value",
[
("xTolerance", 4e-6),
("funcTolerance", 3e-4),
("maxFuncEvals", 100),
("maxIterations", 50),
("nLive", 1500),
("nMCMC", 1),
("propScale", 0.5),
("nsTolerance", 0.8),
("nSamples", 500),
("nChains", 1000),
("jumpProbability", 0.7),
("pUnitGamma", 0.3),
("boundHandling", BoundHandling.Fold),
("adaptPCR", False),
],
)
def test_initialise_non_de_properties(self, wrong_property: str, value: Any) -> None:
incorrect_procedures = [key for (key, value) in fields.items() if wrong_property in value]
with pytest.warns(
UserWarning,
match=f'\nThe current controls procedure is "de", but the property'
f' "{wrong_property}" applies instead to the'
f" {', '.join(incorrect_procedures)} procedure.\n\n"
f' The fields for the "de" controls procedure are:\n'
f" {', '.join(fields['de'])}\n",
):
Controls(procedure=Procedures.DE, **{wrong_property: value})
@pytest.mark.parametrize(
"wrong_property, value",
[
("xTolerance", 4e-6),
("funcTolerance", 3e-4),
("maxFuncEvals", 100),
("maxIterations", 50),
("nLive", 1500),
("nMCMC", 1),
("propScale", 0.5),
("nsTolerance", 0.8),
("nSamples", 500),
("nChains", 1000),
("jumpProbability", 0.7),
("pUnitGamma", 0.3),
("boundHandling", BoundHandling.Fold),
("adaptPCR", False),
],
)
def test_set_non_de_properties(self, wrong_property: str, value: Any) -> None:
incorrect_procedures = [key for (key, value) in fields.items() if wrong_property in value]
with pytest.warns(
UserWarning,
match=f'\nThe current controls procedure is "de", but the property'
f' "{wrong_property}" applies instead to the'
f" {', '.join(incorrect_procedures)} procedure.\n\n"
f' The fields for the "de" controls procedure are:\n'
f" {', '.join(fields['de'])}\n",
):
setattr(self.de, wrong_property, value)
@pytest.mark.parametrize(
"value, msg",
[
(0, "Input should be greater than 0"),
(2, "Input should be less than 1"),
],
)
def test_de_crossoverProbability_error(self, value: int, msg: str) -> None:
"""Tests the crossoverProbability setter error in DE class."""
with pytest.raises(pydantic.ValidationError, match=msg):
self.de.crossoverProbability = value
@pytest.mark.parametrize(
"control_property, value",
[
("targetValue", 0),
("targetValue", 0.999),
("numGenerations", -500),
("numGenerations", 0),
("populationSize", 0),
("populationSize", -1),
],
)
def test_de_targetValue_numGenerations_populationSize_error(
self,
control_property: str,
value: Union[int, float],
) -> None:
"""Tests the targetValue, numGenerations, populationSize setter error in DE class."""
with pytest.raises(pydantic.ValidationError, match="Input should be greater than or equal to 1"):
setattr(self.de, control_property, value)
def test_str(self, table_str) -> None:
"""Tests the DE model __str__."""
assert self.de.__str__() == table_str
class TestNS:
"""Tests the NS class."""
@pytest.fixture(autouse=True)
def setup_class(self):
self.ns = Controls(procedure=Procedures.NS)
@pytest.fixture
def table_str(self):
table_str = (
"+------------------+--------+\n"
"| Property | Value |\n"
"+------------------+--------+\n"
"| procedure | ns |\n"
"| parallel | single |\n"
"| calcSldDuringFit | False |\n"
"| resampleMinAngle | 0.9 |\n"
"| resampleNPoints | 50 |\n"
"| display | iter |\n"
"| nLive | 150 |\n"
"| nMCMC | 0 |\n"
"| propScale | 0.1 |\n"
"| nsTolerance | 0.1 |\n"
"+------------------+--------+"
)
return table_str
@pytest.mark.parametrize(
"control_property, value",
[
("parallel", Parallel.Single),
("calcSldDuringFit", False),
("resampleMinAngle", 0.9),
("resampleNPoints", 50),
("display", Display.Iter),
("procedure", Procedures.NS),
("nLive", 150),
("nMCMC", 0),
("propScale", 0.1),
("nsTolerance", 0.1),
],
)
def test_ns_property_values(self, control_property: str, value: Any) -> None:
"""Tests the default values of NS class."""
assert getattr(self.ns, control_property) == value
@pytest.mark.parametrize(
"control_property, value",
[
("parallel", Parallel.Points),
("calcSldDuringFit", True),
("resampleMinAngle", 0.2),
("resampleNPoints", 1),
("display", Display.Notify),
("nLive", 1500),
("nMCMC", 1),
("propScale", 0.5),
("nsTolerance", 0.8),
],
)
def test_ns_property_setters(self, control_property: str, value: Any) -> None:
"""Tests the setters of NS class."""
setattr(self.ns, control_property, value)
assert getattr(self.ns, control_property) == value
@pytest.mark.parametrize(
"wrong_property, value",
[
("xTolerance", 4e-6),
("funcTolerance", 3e-4),
("maxFuncEvals", 100),
("maxIterations", 50),
("updateFreq", 4),
("updatePlotFreq", 3),
("populationSize", 200),
("fWeight", 0.3),
("crossoverProbability", 0.4),
("strategy", Strategies.BestWithJitter),
("targetValue", 2.0),
("numGenerations", 50),
("nSamples", 500),
("nChains", 1000),
("jumpProbability", 0.7),
("pUnitGamma", 0.3),
("boundHandling", BoundHandling.Fold),
("adaptPCR", False),
],
)
def test_initialise_non_ns_properties(self, wrong_property: str, value: Any) -> None:
incorrect_procedures = [key for (key, value) in fields.items() if wrong_property in value]
with pytest.warns(
UserWarning,
match=f'\nThe current controls procedure is "ns", but the property'
f' "{wrong_property}" applies instead to the'
f" {', '.join(incorrect_procedures)} procedure.\n\n"
f' The fields for the "ns" controls procedure are:\n'
f" {', '.join(fields['ns'])}\n",
):
Controls(procedure=Procedures.NS, **{wrong_property: value})
@pytest.mark.parametrize(
"wrong_property, value",
[
("xTolerance", 4e-6),
("funcTolerance", 3e-4),
("maxFuncEvals", 100),
("maxIterations", 50),
("updateFreq", 4),
("updatePlotFreq", 3),
("populationSize", 200),
("fWeight", 0.3),
("crossoverProbability", 0.4),
("strategy", Strategies.BestWithJitter),
("targetValue", 2.0),
("numGenerations", 50),
("nSamples", 500),
("nChains", 1000),
("jumpProbability", 0.7),
("pUnitGamma", 0.3),
("boundHandling", BoundHandling.Fold),
("adaptPCR", False),
],
)
def test_set_non_ns_properties(self, wrong_property: str, value: Any) -> None:
incorrect_procedures = [key for (key, value) in fields.items() if wrong_property in value]
with pytest.warns(
UserWarning,
match=f'\nThe current controls procedure is "ns", but the property'
f' "{wrong_property}" applies instead to the'
f" {', '.join(incorrect_procedures)} procedure.\n\n"
f' The fields for the "ns" controls procedure are:\n'
f" {', '.join(fields['ns'])}\n",
):
setattr(self.ns, wrong_property, value)
@pytest.mark.parametrize(
"control_property, value, bound",
[
("nMCMC", -1, 0),
("nsTolerance", -500, 0),
("nLive", -500, 1),
],
)
def test_ns_setter_error(self, control_property: str, value: Union[int, float], bound: int) -> None:
"""Tests the nMCMC, nsTolerance, nLive setter error in NS class."""
with pytest.raises(pydantic.ValidationError, match=f"Input should be greater than or equal to {bound}"):
setattr(self.ns, control_property, value)
@pytest.mark.parametrize(
"value, msg",
[
(0, "Input should be greater than 0"),
(2, "Input should be less than 1"),
],
)
def test_ns_propScale_error(self, value: int, msg: str) -> None:
"""Tests the propScale error in NS class."""
with pytest.raises(pydantic.ValidationError, match=msg):
self.ns.propScale = value
def test_control_class_ns_str(self, table_str) -> None:
"""Tests the NS model __str__."""
assert self.ns.__str__() == table_str
class TestDream:
"""Tests the Dream class."""
@pytest.fixture(autouse=True)
def setup_class(self):
self.dream = Controls(procedure=Procedures.DREAM)
@pytest.fixture
def table_str(self):
table_str = (
"+------------------+---------+\n"
"| Property | Value |\n"
"+------------------+---------+\n"
"| procedure | dream |\n"
"| parallel | single |\n"
"| calcSldDuringFit | False |\n"
"| resampleMinAngle | 0.9 |\n"
"| resampleNPoints | 50 |\n"
"| display | iter |\n"
"| nSamples | 20000 |\n"
"| nChains | 10 |\n"
"| jumpProbability | 0.5 |\n"
"| pUnitGamma | 0.2 |\n"
"| boundHandling | reflect |\n"
"| adaptPCR | True |\n"
"+------------------+---------+"
)
return table_str
@pytest.mark.parametrize(
"control_property, value",
[
("parallel", Parallel.Single),
("calcSldDuringFit", False),
("resampleMinAngle", 0.9),
("resampleNPoints", 50),
("display", Display.Iter),
("procedure", Procedures.DREAM),
("nSamples", 20000),
("nChains", 10),
("jumpProbability", 0.5),
("pUnitGamma", 0.2),
("boundHandling", BoundHandling.Reflect),
("adaptPCR", True),
],
)
def test_dream_property_values(self, control_property: str, value: Any) -> None:
"""Tests the default values of Dream class."""
assert getattr(self.dream, control_property) == value
@pytest.mark.parametrize(
"control_property, value",
[
("parallel", Parallel.Points),
("calcSldDuringFit", True),
("resampleMinAngle", 0.2),
("resampleNPoints", 1),
("display", Display.Notify),
("nSamples", 500),
("nChains", 1000),
("jumpProbability", 0.7),
("pUnitGamma", 0.3),
("boundHandling", BoundHandling.Fold),
("adaptPCR", False),
],
)
def test_dream_property_setters(self, control_property: str, value: Any) -> None:
"""Tests the setters in Dream class."""
setattr(self.dream, control_property, value)
assert getattr(self.dream, control_property) == value
@pytest.mark.parametrize(
"wrong_property, value",
[
("xTolerance", 4e-6),
("funcTolerance", 3e-4),
("maxFuncEvals", 100),
("maxIterations", 50),
("updateFreq", 4),
("updatePlotFreq", 3),
("populationSize", 200),
("fWeight", 0.3),
("crossoverProbability", 0.4),
("strategy", Strategies.BestWithJitter),
("targetValue", 2.0),
("numGenerations", 50),
("nLive", 1500),
("nMCMC", 1),
("propScale", 0.5),
("nsTolerance", 0.8),
],
)
def test_initialise_non_dream_properties(self, wrong_property: str, value: Any) -> None:
incorrect_procedures = [key for (key, value) in fields.items() if wrong_property in value]
with pytest.warns(
UserWarning,
match=f'\nThe current controls procedure is "dream", but the property'
f' "{wrong_property}" applies instead to the'
f" {', '.join(incorrect_procedures)} procedure.\n\n"
f' The fields for the "dream" controls procedure are:\n'
f" {', '.join(fields['dream'])}\n",
):
Controls(procedure=Procedures.DREAM, **{wrong_property: value})
@pytest.mark.parametrize(
"wrong_property, value",
[
("xTolerance", 4e-6),
("funcTolerance", 3e-4),
("maxFuncEvals", 100),
("maxIterations", 50),
("updateFreq", 4),
("updatePlotFreq", 3),
("populationSize", 200),
("fWeight", 0.3),
("crossoverProbability", 0.4),
("strategy", Strategies.BestWithJitter),
("targetValue", 2.0),
("numGenerations", 50),
("nLive", 1500),
("nMCMC", 1),
("propScale", 0.5),
("nsTolerance", 0.8),
],
)
def test_set_non_dream_properties(self, wrong_property: str, value: Any) -> None:
incorrect_procedures = [key for (key, value) in fields.items() if wrong_property in value]
with pytest.warns(
UserWarning,
match=f'\nThe current controls procedure is "dream", but the property'
f' "{wrong_property}" applies instead to the'
f" {', '.join(incorrect_procedures)} procedure.\n\n"
f' The fields for the "dream" controls procedure are:\n'
f" {', '.join(fields['dream'])}\n",
):
setattr(self.dream, wrong_property, value)
@pytest.mark.parametrize(
"control_property, value, msg",
[
("jumpProbability", 0, "Input should be greater than 0"),
("jumpProbability", 2, "Input should be less than 1"),
("pUnitGamma", -5, "Input should be greater than 0"),
("pUnitGamma", 20, "Input should be less than 1"),
],
)
def test_dream_jumpProbability_pUnitGamma_error(self, control_property: str, value: int, msg: str) -> None:
"""Tests the jumpProbability and pUnitGamma setter errors in Dream class."""
with pytest.raises(pydantic.ValidationError, match=msg):
setattr(self.dream, control_property, value)
@pytest.mark.parametrize("value", [-80, -2])
def test_dream_nSamples_error(self, value: int) -> None:
"""Tests the nSamples setter error in Dream class."""
with pytest.raises(pydantic.ValidationError, match="Input should be greater than or equal to 0"):
self.dream.nSamples = value
@pytest.mark.parametrize("value", [-5, 0])
def test_dream_nChains_error(self, value: int) -> None:
"""Tests the nChains setter error in Dream class."""
with pytest.raises(pydantic.ValidationError, match="Input should be greater than 1"):
self.dream.nChains = value
def test_control_class_dream_str(self, table_str) -> None:
"""Tests the Dream model __str__."""
assert self.dream.__str__() == table_str
def test_initialise_IPC() -> None:
"""Tests that an Inter-Process Communication File can be set up."""
test_controls = Controls()
test_controls.initialise_IPC()
assert test_controls._IPCFilePath != ""
with open(test_controls._IPCFilePath, "rb") as f:
file_content = f.read()
assert file_content == b"0"
os.remove(test_controls._IPCFilePath)
def test_sendStopEvent(IPC_controls) -> None:
"""Tests that an Inter-Process Communication File can be modified."""
IPC_controls.sendStopEvent()
with open(IPC_controls._IPCFilePath, "rb") as f:
file_content = f.read()
assert file_content == b"1"
def test_sendStopEvent_empty_file() -> None:
"""Tests that we do not write to a non-existent Inter-Process Communication File."""
test_controls = Controls()
with pytest.warns(UserWarning, match="An IPC file was not initialised."):
test_controls.sendStopEvent()
def test_delete_IPC(IPC_controls) -> None:
"""Tests that an Inter-Process Communication File can be safely removed."""
IPC_controls.delete_IPC()
assert not os.path.isfile(IPC_controls._IPCFilePath)
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