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# Dummy Makefile to create a random dataset for plotting.
#
# Copyright (C) 2018-2022 Mohammad Akhlaghi <mohammad@akhlaghi.org>
#
# This Makefile 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.
#
# This Makefile 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 this Makefile. If not, see <http://www.gnu.org/licenses/>.
# Dummy dataset
# -------------
#
# Just as a demonstration(!): we will use AWK to generate a table showing X
# and X^2 and draw its plot.
#
# Note that this dataset is directly read by LaTeX to generate a plot, so
# we need to put it in the $(tex-publish-dir) directory.
dm-squared = $(tex-publish-dir)/squared.txt
$(dm-squared): $(pconfdir)/delete-me-squared-num.conf | $(tex-publish-dir)
# When the plotted values are re-made, it is necessary to also delete
# the TiKZ externalized files so the plot is also re-made by
# PGFPlots.
rm -f $(tikzdir)/delete-me-squared.pdf
# Write the column metadata in a temporary file name (appending
# '.tmp' to the actual target name). Once all steps are done, it is
# renamed to the final target. We do this because if there is an
# error in the middle, Make will not consider the job to be complete
# and will stop here.
echo "# Data for demonstration plot of default Maneage (MANaging data linEAGE)." > $@.tmp
echo "# It is a simple plot, showing the power of two: y=x^2! " >> $@.tmp
echo "# " >> $@.tmp
echo "# Column 1: X [arbitrary, f32] The horizontal axis numbers." \
>> $@.tmp
echo "# Column 2: X_POW2 [arbitrary, f32] The horizontal axis to the power of two." \
>> $@.tmp
echo "# " >> $@.tmp
$(call print-general-metadata, $@.tmp)
# Generate the table of random values.
awk 'BEGIN {for(i=1;i<=$(delete-me-squared-num);i+=0.5) \
printf("%-8.1f%.2f\n", i, i*i); }' >> $@.tmp
# Write it into the final target
mv $@.tmp $@
# Demo image PDF
# --------------
#
# For an example image, we'll make a PDF copy of the WFPC II image to
# display in the paper.
dm-histdir = $(texdir)/image-histogram
$(dm-histdir): | $(texdir); mkdir $@
dm-img-pdf = $(dm-histdir)/wfpc2.pdf
$(dm-img-pdf): $(dm-histdir)/%.pdf: $(indir)/%.fits | $(dm-histdir)
# When the plotted values are re-made, it is necessary to also
# delete the TiKZ externalized files so the plot is also re-made.
rm -f $(tikzdir)/delete-me-image-histogram.pdf
# Convert the dataset to a PDF.
astconvertt --colormap=gray --fluxhigh=4 $< -h0 -o$@
# Histogram of demo image
# -----------------------
#
# For an example plot, we'll show the pixel value histogram also. IMPORTANT
# NOTE: because this histogram contains data that is included in a plot, we
# should publish it, so it will go into the $(tex-publish-dir).
dm-img-histogram = $(tex-publish-dir)/wfpc2-histogram.txt
$(dm-img-histogram): $(tex-publish-dir)/%-histogram.txt: $(indir)/%.fits \
| $(tex-publish-dir)
# When the plotted values are re-made, it is necessary to also delete
# the TiKZ externalized files so the plot is also re-made.
rm -f $(tikzdir)/delete-me-image-histogram.pdf
# Generate the pixel value histogram.
aststatistics --lessthan=5 $< -h0 --histogram -o$@.data
# Put a two-line description of the dataset, copy the column metadata
# from '$@.data', and add copyright.
echo "# Histogram of example image to demonstrate Maneage (MANaging data linEAGE)." \
> $@.tmp
echo "# Example image URL: $(DEMO-URL)" >> $@.tmp
echo "# " >> $@.tmp
awk '/^# Column .:/' $@.data >> $@.tmp
echo "# " >> $@.tmp
$(call print-general-metadata, $@.tmp)
# Add the column numbers in a formatted manner, rename it to the
# output and clean up.
awk '!/^#/{printf("%-15.4f%d\n", $$1, $$2)}' $@.data >> $@.tmp
mv $@.tmp $@
rm $@.data
# Basic statistics
# ----------------
#
# This is just as a demonstration on how to get analysic configuration
# parameters from variables defined in 'reproduce/analysis/config/'.
dm-img-stats = $(dm-histdir)/wfpc2-stats.txt
$(dm-img-stats): $(dm-histdir)/%-stats.txt: $(indir)/%.fits \
| $(dm-histdir)
aststatistics $< -h0 --mean --median > $@
# TeX macros
# ----------
#
# This is how we write the necessary parameters in the final PDF.
#
# NOTE: In LaTeX you cannot use any non-alphabetic character in a variable
# name.
$(mtexdir)/delete-me.tex: $(dm-squared) $(dm-img-pdf) $(dm-img-histogram) \
$(dm-img-stats)
# Write the number of random values used.
echo "\newcommand{\deletemenum}{$(delete-me-squared-num)}" > $@
# Note that since Make variables start with a '$(', if you want to
# use '$' within the shell (not Make), you have to quote any
# occurance of '$' with another '$'. That is why there are '$$' in
# the AWK command below.
#
# Here, we are first using AWK to find the minimum and maximum
# values, then using it again to read each separately to use in the
# macro definition.
mm=$$(awk 'BEGIN{min=99999; max=-min}
!/^#/{if($$2>max) max=$$2; if($$2<min) min=$$2;}
END{print min, max}' $(dm-squared));
v=$$(echo "$$mm" | awk '{printf "%.3f", $$1}');
echo "\newcommand{\deletememin}{$$v}" >> $@
v=$$(echo "$$mm" | awk '{printf "%.3f", $$2}');
echo "\newcommand{\deletememax}{$$v}" >> $@
# Write the statistics of the demo image as a macro.
mean=$$(awk '{printf("%.2f", $$1)}' $(dm-img-stats))
echo "\newcommand{\deletemewfpctwomean}{$$mean}" >> $@
median=$$(awk '{printf("%.2f", $$2)}' $(dm-img-stats))
echo "\newcommand{\deletemewfpctwomedian}{$$median}" >> $@
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