motiejus/stud
1
Fork 0
Code Releases Activity

add layer of direction

Browse Source 
remove layer of indirection
This commit is contained in:
Motiejus Jakštys 2020-05-26 14:00:37 +03:00
parent 8e08fe70e6
commit c4d6a764ed
2 changed files with 8 additions and 8 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

14
II/Referatas/Makefile
View File

@ -8,17 +8,17 @@ mj-referatas.pdf: mj-referatas.tex version.tex bib.bib zeimena-pretty.pdf \
latexmk -g -pdf $<
define algo2img
db/.faux_$(1)-$(2)-$(3): $(2).sql db/.faux_ready
./managedb -- --echo-all -v ON_ERROR_STOP=1 -v src=$(1) -v tolerance=$(3) -v tbl=$(1)_$(2)_$(3) -f $(2).sql
db/.faux_$(1)-$(2)-%: $(2).sql db/.faux_ready
./managedb -- --echo-all -v ON_ERROR_STOP=1 -v src=$(1) -v tolerance=$$* -v tbl=$(1)_$(2)_$$* -f $(2).sql
touch $$@
$(1)-$(2)-$(3).pdf: layer2img.py db/.faux_$(1)-$(2)-$(3)
./layer2img.py --table=$(1)_$(2)_$(3) --size=52x74 --outfile $(1)-$(2)-$(3).pdf
$(1)-$(2)-%.pdf: layer2img.py db/.faux_$(1)-$(2)-%
./layer2img.py --table=$(1)_$(2)_$$* --size=52x74 --outfile $(1)-$(2)-$$*.pdf
endef
$(eval $(call algo2img,sinewave,douglas,5))
$(foreach t,$(TOLERANCES),$(eval $(call algo2img,zeimena,douglas,$(t))))
$(foreach t,$(TOLERANCES),$(eval $(call algo2img,zeimena,visvalingam,$(t))))
$(eval $(call algo2img,sinewave,douglas))
$(eval $(call algo2img,zeimena,douglas))
$(eval $(call algo2img,zeimena,visvalingam))
sinewave.gpkg: sinewave.py
./sinewave.py

2
II/Referatas/mj-referatas.tex
View File

@ -220,7 +220,7 @@ of the least developed aspects of automatic line generalization, according to
\cite{miuller1995generalization}. {\WM} encoded this process to an algorithm.
Imagine there are two small bends close to each other, similar to
figure~\ref{pic:example-bend} on page~\pageref{pic:example-bend}, and one needs
figure~\ref{pic:sinewave} on page~\pageref{pic:sinewave}, and one needs
to generalize it. The bends are too large to ignore replace them with a
straight line, but too small to retain both and retain their complexity.