Source code for torax.sources.tests.test_lib

# Copyright 2024 DeepMind Technologies Limited
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# Licensed under the Apache License, Version 2.0 (the "License");
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"""Utilities to help with testing sources."""

from typing import Type

from absl.testing import parameterized
import chex
import jax
import jax.numpy as jnp
from torax.config import build_runtime_params
from torax.core_profiles import initialization
from torax.sources import base
from torax.sources import runtime_params as runtime_params_lib
from torax.sources import source as source_lib
from torax.sources import source_models as source_models_lib
from torax.sources import source_profiles
from torax.torax_pydantic import model_config
from torax.torax_pydantic import torax_pydantic


# Most of the checks and computations in TORAX require float64.
jax.config.update('jax_enable_x64', True)


[docs] class SourceTestCase(parameterized.TestCase): """Base test class for sources. Extend this class for source-specific tests. """
[docs] def setUp( self, source_name: str, source_config_class: Type[base.SourceModelBase], needs_source_models: bool = False, model_function_name: str | None = None, ): self._source_name = source_name self._model_function_name = model_function_name self._source_config_class = source_config_class self._needs_source_models = needs_source_models super().setUp()
def test_build_dynamic_params(self): source = self._source_config_class.from_dict({}) self.assertIsInstance(source, self._source_config_class) torax_pydantic.set_grid( source, torax_pydantic.Grid1D(nx=4, dx=0.25), ) dynamic_params = source.build_dynamic_params(t=0.0) self.assertIsInstance( dynamic_params, runtime_params_lib.DynamicRuntimeParams ) @parameterized.product( mode=( runtime_params_lib.Mode.ZERO, runtime_params_lib.Mode.MODEL_BASED, runtime_params_lib.Mode.PRESCRIBED, ), is_explicit=(True, False), ) def test_runtime_params_builds_static_params( self, mode: runtime_params_lib.Mode, is_explicit: bool ): """Tests that the static params are built correctly.""" source_config = self._source_config_class.from_dict( {'mode': mode, 'is_explicit': is_explicit} ) static_params = source_config.build_static_params() self.assertIsInstance(static_params, runtime_params_lib.StaticRuntimeParams) self.assertEqual(static_params.mode, mode.value) self.assertEqual(static_params.is_explicit, is_explicit)
[docs] class SingleProfileSourceTestCase(SourceTestCase): """Base test class for SingleProfileSource subclasses."""
[docs] def test_source_value_on_the_cell_grid(self): """Tests that the source can provide a value by default on the cell grid.""" if self._model_function_name is not None: sources_dict = { self._source_name: { 'model_function_name': self._model_function_name, } } else: sources_dict = {self._source_name: {}} torax_config = model_config.ToraxConfig.from_dict({ 'runtime_params': {}, 'geometry': {'geometry_type': 'circular', 'n_rho': 4}, 'sources': sources_dict, 'stepper': {}, 'transport': {}, 'pedestal': {}, }) geo = torax_config.geometry.build_provider(torax_config.numerics.t_initial) dynamic_runtime_params_slice = ( build_runtime_params.DynamicRuntimeParamsSliceProvider.from_config( torax_config )( t=torax_config.numerics.t_initial, ) ) static_slice = build_runtime_params.build_static_params_from_config( torax_config ) source_models = source_models_lib.SourceModels( sources=torax_config.sources.source_model_config ) core_profiles = initialization.initial_core_profiles( dynamic_runtime_params_slice=dynamic_runtime_params_slice, static_runtime_params_slice=static_slice, geo=geo, source_models=source_models, ) if self._needs_source_models: calculated_source_profiles = source_profiles.SourceProfiles( j_bootstrap=source_profiles.BootstrapCurrentProfile.zero_profile(geo), psi={'foo': jnp.full(geo.rho.shape, 13.0)}, temp_el={'foo_source': jnp.full(geo.rho.shape, 17.0)}, temp_ion={'foo_sink': jnp.full(geo.rho.shape, 19.0)}, ne={}, qei=source_profiles.QeiInfo.zeros(geo), ) else: calculated_source_profiles = None source = source_models.sources[self._source_name] value = source.get_value( dynamic_runtime_params_slice=dynamic_runtime_params_slice, static_runtime_params_slice=static_slice, geo=geo, core_profiles=core_profiles, calculated_source_profiles=calculated_source_profiles, )[0] chex.assert_rank(value, 1) self.assertEqual(value.shape, geo.rho.shape)
[docs] class MultipleProfileSourceTestCase(SourceTestCase): """Base test class for IonElSource subclasses."""
[docs] def test_source_values_on_the_cell_grid(self): """Tests that the source can provide values on the cell grid.""" if self._model_function_name is not None: sources_dict = { self._source_name: { 'model_function_name': self._model_function_name, } } else: sources_dict = {self._source_name: {}} torax_config = model_config.ToraxConfig.from_dict( { 'runtime_params': {}, 'geometry': {'geometry_type': 'circular', 'n_rho': 4}, 'sources': sources_dict, 'stepper': {}, 'transport': {}, 'pedestal': {}, } ) source_models = source_models_lib.SourceModels( sources=torax_config.sources.source_model_config ) source = source_models.sources[self._source_name] self.assertIsInstance(source, source_lib.Source) dynamic_runtime_params_slice = ( build_runtime_params.DynamicRuntimeParamsSliceProvider.from_config( torax_config )( t=torax_config.numerics.t_initial, ) ) geo = torax_config.geometry.build_provider(torax_config.numerics.t_initial) static_slice = build_runtime_params.build_static_params_from_config( torax_config ) core_profiles = initialization.initial_core_profiles( dynamic_runtime_params_slice=dynamic_runtime_params_slice, static_runtime_params_slice=static_slice, geo=geo, source_models=source_models, ) value = source.get_value( dynamic_runtime_params_slice=dynamic_runtime_params_slice, static_runtime_params_slice=static_slice, geo=geo, core_profiles=core_profiles, calculated_source_profiles=None, ) self.assertLen(value, 2) self.assertEqual(value[0].shape, geo.rho.shape) self.assertEqual(value[1].shape, geo.rho.shape) self.assertFalse(jnp.any(jnp.isnan(value[0]))) self.assertFalse(jnp.any(jnp.isnan(value[1])))