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Diffstat (limited to 'exercise04/helpers/ex_4_3.py')
| -rw-r--r-- | exercise04/helpers/ex_4_3.py | 52 |
1 files changed, 52 insertions, 0 deletions
diff --git a/exercise04/helpers/ex_4_3.py b/exercise04/helpers/ex_4_3.py new file mode 100644 index 0000000..1079ce9 --- /dev/null +++ b/exercise04/helpers/ex_4_3.py @@ -0,0 +1,52 @@ +#!/usr/bin/env python3 + +# SPDX-License-Identifier: BSD-3-Clause +# +# Copyright 2020 Philipp Le +# +# Redistribution and use in source and binary forms, with or without +# modification, are permitted provided that the following conditions +# are met: +# +# 1. Redistributions of source code must retain the above copyright +# notice, this list of conditions and the following disclaimer. +# +# 2. Redistributions in binary form must reproduce the above copyright +# notice, this list of conditions and the following disclaimer in the +# documentation and/or other materials provided with the distribution. +# +# 3. Neither the name of the copyright holder nor the names of its +# contributors may be used to endorse or promote products derived from +# this software without specific prior written permission. +# +# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" +# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE +# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE +# ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE +# LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR +# CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF +# SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS +# INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN +# CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) +# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF +# THE POSSIBILITY OF SUCH DAMAGE. + + +import numpy + +def latex_table(ar): + return " & ".join(["$"+str(it)+"$" for it in ar]) + +U_L = -2 +U_H = 2 +K = 8 + +dU = (U_H - U_L)/(K-1) + +for step in range(K): + mean = numpy.round((U_L + (step * dU))*100)/100 + lower = numpy.round((mean - (dU/2))*100)/100 + upper = numpy.round((mean + (dU/2))*100)/100 + print("$\\SI{"+str(lower)+"}{V}$ & $\\SI{"+str(upper)+"}{V}$ & $\\SI{"+str(mean)+"}{V}$") + + |
