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test_env_io.py
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46 lines (43 loc) · 1.82 KB
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# This file is part of the CoverageControl library
#
# Author: Saurav Agarwal
# Contact: [email protected], [email protected]
# Repository: https://github.com/KumarRobotics/CoverageControl
#
# Copyright (c) 2024, Saurav Agarwal
#
# The CoverageControl library is free software: you can redistribute it and/or
# modify it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or (at your
# option) any later version.
#
# The CoverageControl library 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 General
# Public License for more details.
#
# You should have received a copy of the GNU General Public License along with
# CoverageControl library. If not, see <https://www.gnu.org/licenses/>.
import tempfile
import warnings
import numpy as np
import coverage_control as cc
def test_env_io():
params = cc.Parameters()
env = cc.CoverageSystem(params)
world_idf1 = env.GetWorldIDFObject()
world_map = world_idf1.GetWorldMap()
with tempfile.TemporaryDirectory() as tmp_dir:
env.WriteEnvironment(tmp_dir + "/env.pos", tmp_dir + "/env.idf")
world_idf2 = cc.WorldIDF(params, tmp_dir + "/env.idf")
env2 = cc.CoverageSystem(params, world_idf2, tmp_dir + "/env.pos")
map2 = world_idf2.GetWorldMap()
is_close = np.allclose(world_map, map2)
if not is_close:
diff = np.abs(world_map - map2).max()
assert is_close
is_equal = np.array_equal(world_map, map2)
if not is_equal and is_close:
diff = np.abs(world_map - map2).max()
print("Max difference: ", diff)
warnings.warn("Not all elements are equal, but all elements are close")