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tamaas/tests/test_dumper.py
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test_dumper.py
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# -*- coding: utf-8 -*-
# @file
# LICENSE
#
# Copyright (©) 2016-2021 EPFL (École Polytechnique Fédérale de Lausanne),
# Laboratory (LSMS - Laboratoire de Simulation en Mécanique des Solides)
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published
# by the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
from __future__ import division
import os
from pathlib import Path
import tamaas as tm
import numpy as np
import pytest
from tamaas.dumpers import NumpyDumper, JSONDumper, FieldDumper
from tamaas.dumpers._helper import directory_dump, step_dump
@pytest.fixture(scope="module",
params=[tm.model_type.basic_1d,
tm.model_type.basic_2d,
tm.model_type.surface_1d,
tm.model_type.surface_2d,
tm.model_type.volume_1d,
tm.model_type.volume_2d])
def model_fixture(tamaas_fixture, request):
dim = tm.type_traits[request.param].dimension
model = tm.ModelFactory.createModel(request.param, dim * [1.], dim * [4])
model.displacement[:] = 3
model.traction[:] = 1
model['additional'] = 2 * np.ones(model.shape
+ [tm.type_traits[model.type].components])
return model
class Dumper(tm.ModelDumper):
"""Simple numpy dumper"""
def __init__(self):
tm.ModelDumper.__init__(self)
def dump(self, model):
np.savetxt('tractions.txt', np.ravel(model.traction))
np.savetxt('displacement.txt', np.ravel(model.displacement))
dumper_types = [NumpyDumper, JSONDumper]
try:
from tamaas.dumpers import H5Dumper
dumper_types.append(H5Dumper)
except ImportError:
pass
try:
from tamaas.dumpers import NetCDFDumper
dumper_types.append(NetCDFDumper)
except ImportError:
pass
@pytest.mark.parametrize('dumper_class', dumper_types)
def test_dumper(model_fixture, tmp_path, dumper_class):
os.chdir(tmp_path)
filename = 'test_{}'.format(dumper_class.__name__)
if not issubclass(dumper_class, FieldDumper):
dumper = dumper_class(filename)
else:
dumper = dumper_class(filename, all_fields=True)
filename = dumper.file_path
dumper << model_fixture
rmodel = dumper.read(filename)
assert rmodel.type == model_fixture.type
assert rmodel.shape == model_fixture.shape
for field in model_fixture:
# assert field in rmodel
assert np.all(np.abs(rmodel[field] - model_fixture[field]) < 1e-15)
def test_custom_dumper(tamaas_fixture, tmp_path):
os.chdir(tmp_path)
model = tm.ModelFactory.createModel(tm.model_type.volume_2d, [1., 1., 1.],
[16, 4, 8])
dumper = Dumper()
dumper << model
tractions = np.loadtxt('tractions.txt')
displacements = np.loadtxt('displacement.txt')
assert np.all(tractions.reshape(model.traction.shape) == model.traction)
assert np.all(displacements.reshape(model.displacement.shape)
== model.displacement)
@pytest.fixture
def simple_model(tamaas_fixture):
return tm.ModelFactory.createModel(tm.model_type.basic_2d, [1, 1], [1, 1])
def test_directory_dump(simple_model, tmp_path):
os.chdir(tmp_path)
@directory_dump("dummy")
class Dummy(tm.ModelDumper):
def __init__(self):
super(Dummy, self).__init__()
def dump(self, model):
pass
@property
def file_path(self):
return 'dummy'
dumper = Dummy()
dumper << simple_model
assert Path('dummy').is_dir()
def test_step_dump(simple_model, tmp_path):
os.chdir(tmp_path)
@step_dump
class Dummy(FieldDumper):
extension = 'dummy'
def dump_to_file(self, file_descriptor, model):
with open(file_descriptor, 'w'):
pass
files = []
dumper = Dummy('dummy')
def dump():
files.append(dumper.file_path)
dumper << simple_model
dump()
dump()
for file in files:
assert Path(file).is_file()
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