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Merge branch 'ahcorde/pybind11/axisAlignedbox' of https://github.com/…
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# Copyright (C) 2021 Open Source Robotics Foundation | ||
# | ||
# Licensed under the Apache License, Version 2.0 (the "License") | ||
# you may not use this file except in compliance with the License. | ||
# You may obtain a copy of the License at | ||
# | ||
# http:#www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, software | ||
# distributed under the License is distributed on an "AS IS" BASIS, | ||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
# See the License for the specific language governing permissions and | ||
# limitations under the License. | ||
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# Modify the PYTHONPATH environment variable to include the ignition math | ||
# library install path. For example, if you install to /usr: | ||
# | ||
# $ export PYTHONPATH=/usr/lib/python:$PYTHONPATH | ||
# | ||
# You can plot the data generated by this program by following these | ||
# steps. | ||
# | ||
# 1. Run this program and save the output to a file: | ||
# python3 gauss_markov_process_example.py > plot.data | ||
# | ||
# 2. Use gnuplot to create a plot: | ||
# gnuplot -e 'set terminal jpeg; plot "plot.data" with lines' > out.jpg | ||
import datetime | ||
from ignition.math import GaussMarkovProcess | ||
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# Create the process with: | ||
# * Start value of 20.2 | ||
# * Theta (rate at which the process should approach the mean) of 0.1 | ||
# * Mu (mean value) 0. | ||
# * Sigma (volatility) of 0.5. | ||
gmp = GaussMarkovProcess(20.2, 0.1, 0, 0.5); | ||
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dt = datetime.timedelta(milliseconds=100) | ||
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# This process should decrease toward the mean value of 0. | ||
# With noise of 0.5, the process will walk a bit. | ||
for i in range(1000): | ||
value = gmp.update(dt); | ||
print(value); |
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# Copyright (C) 2021 Open Source Robotics Foundation | ||
# | ||
# Licensed under the Apache License, Version 2.0 (the "License") | ||
# you may not use this file except in compliance with the License. | ||
# You may obtain a copy of the License at | ||
# | ||
# http:#www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, software | ||
# distributed under the License is distributed on an "AS IS" BASIS, | ||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
# See the License for the specific language governing permissions and | ||
# limitations under the License. | ||
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||
# Modify the RUBYLIB environment variable to include the ignition math | ||
# library install path. For example, if you install to /user: | ||
# | ||
# $ export RUBYLIB=/usr/lib/ruby:$RUBYLIB | ||
# | ||
# You can plot the data generated by this program by following these | ||
# steps. | ||
# | ||
# 1. Run this program and save the output to a file: | ||
# ruby gauss_markov_process_example.rb > plot.data | ||
# | ||
# 2. Use gnuplot to create a plot: | ||
# gnuplot -e 'set terminal jpeg; plot "plot.data" with lines' > out.jpg | ||
require 'ignition/math' | ||
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# Create the process with: | ||
# * Start value of 20.2 | ||
# * Theta (rate at which the process should approach the mean) of 0.1 | ||
# * Mu (mean value) 0. | ||
# * Sigma (volatility) of 0.5. | ||
gmp = Ignition::Math::GaussMarkovProcess.new(20.2, 0.1, 0, 0.5); | ||
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# This process should decrease toward the mean value of 0. | ||
# With noise of 0.5, the process will walk a bit. | ||
for i in 0..1000 do | ||
value = gmp.Update(0.1); | ||
puts(value); | ||
end |
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