We will have duplicate symbol for architecture x86_64
when we compile the programs as follows:
$ g++ -c -Wall bye.cpp # Generate bye.o
$ g++ -c -Wall hello.cpp # Generate hello.o
$ g++ -Wall main.cpp bye.o hello.o -o run
duplicate symbol __Z3LOGNSt3__112basic_stringIcNS_11char_traitsIcEENS_9allocatorIcEEEE in:
bye.o
| # data from http://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/population-distribution-demography/geostat | |
| # Originally seen at http://spatial.ly/2014/08/population-lines/ | |
| # So, this blew up on both Reddit and Twitter. Two bugs fixed (southern Spain was a mess, | |
| # and some countries where missing -- measure twice, submit once, damnit), and two silly superflous lines removed after | |
| # @hadleywickham pointed that out. Also, switched from geom_segment to geom_line. | |
| # The result of the code below can be seen at http://imgur.com/ob8c8ph | |
| library(tidyverse) |
For a brief user-level introduction to CMake, watch C++ Weekly, Episode 78, Intro to CMake by Jason Turner. LLVM’s CMake Primer provides a good high-level introduction to the CMake syntax. Go read it now.
After that, watch Mathieu Ropert’s CppCon 2017 talk Using Modern CMake Patterns to Enforce a Good Modular Design (slides). It provides a thorough explanation of what modern CMake is and why it is so much better than “old school” CMake. The modular design ideas in this talk are based on the book [Large-Scale C++ Software Design](https://www.amazon.de/Large-Scale-Soft
| library(rstan) | |
| ## options(mc.cores = parallel::detectCores()) | |
| ## Data should be here: <https://drive.google.com/open?id=1BUV8mChrZ0UkyW2G4EHB5wc1taUpMZUM> | |
| load('mwe.Rdata') | |
| ## dataf: The data; response is `w_use` | |
| ## W_3nn: row-normalized spatial weights matrix, based on 3 nearest neighbors, in triplet sparse form | |
| ## W_dnn: row-normalized spatial weights matrix, distance-based, in triplet sparse form | |
| parsed = stanc(file = 'sdm.stan', verbose = TRUE) |
