The first thing that will be needed is the drivers, so you will need to run:
$ pip install pyserial
$ pip2 install esptool| " Don't try to be vi compatible | |
| set nocompatible | |
| " Helps force plugins to load correctly when it is turned back on below | |
| filetype off | |
| " TODO: Load plugins here (pathogen or vundle) | |
| " Turn on syntax highlighting | |
| syntax on |
| # Who is using Port | |
| lsof -nP -iTCP:$PORT | grep LISTEN |
| #!/bin/sh | |
| REPO=resuelve/$1 | |
| TOKEN=$2 | |
| labels=( | |
| '{"name": "Bug 🐛", "description": "MUCHO ROJO!!!", "color": "d73a4a"}' | |
| '{"name": "Documentación 📗", "description": "Documentación", "color": "a369ef"}' | |
| '{"name": "Epic", "description": "Épica", "color": "3E4B9E"}' | |
| '{"name": "Hackday 💡", "description": "Puntos extras por mejora muy opcional", "color": "5319e7"}' |
| " Don't try to be vi compatible | |
| set nocompatible | |
| " Helps force plugins to load correctly when it is turned back on below | |
| filetype off | |
| " TODO: Load plugins here (pathogen or vundle) | |
| " Turn on syntax highlighting | |
| syntax on |
| class Tetrahedron extends PlatonicSolid { | |
| float ang = radians(120); | |
| Tetrahedron() { | |
| super(); | |
| } | |
| public ArrayList<PVector> generateVertices () { | |
| ArrayList<PVector> verticesArray = new ArrayList<PVector>(); | |
| verticesArray.add(new PVector(0, 0, radius)); |
| DEBUG:root:PYTHON not defined in /home/maasencioh/.emscripten, using "/usr/bin/python" | |
| DEBUG:root:JAVA not defined in /home/maasencioh/.emscripten, using "java" | |
| WARNING:root:invocation: /home/maasencioh/Downloads/emsdk_portable/emscripten/master/emcc real.c -I/usr/include/ -I/usr/lib/gcc/x86_64-redhat-linux/6.2.1/include/ -o netfile.js -v (in /home/maasencioh/testNetCDF) | |
| INFO:root:(Emscripten: Running sanity checks) | |
| INFO:root:(Emscripten: Running sanity checks) | |
| DEBUG:root:compiling to bitcode | |
| DEBUG:root:emcc step "parse arguments and setup" took 0.11 seconds | |
| DEBUG:root:compiling source file: real.c | |
| DEBUG:root:running: /home/maasencioh/Downloads/emsdk_portable/clang/fastcomp/build_master_64/bin/clang -target asmjs-unknown-emscripten -D__EMSCRIPTEN_major__=1 -D__EMSCRIPTEN_minor__=36 -D__EMSCRIPTEN_tiny__=0 -Werror=implicit-function-declaration -nostdinc -Xclang -nobuiltininc -Xclang -nostdsysteminc -Xclang -isystem/home/maasencioh/Downloads/emsdk_portable/emscripten/master/system/local/include -Xclang -isyste |
| This file contains any messages produced by compilers while | |
| running configure, to aid debugging if configure makes a mistake. | |
| It was created by netCDF configure 4.4.1, which was | |
| generated by GNU Autoconf 2.69. Invocation command line was | |
| $ ./configure CFLAGS=-L /usr/lib64/lib -s USE_ZLIB=1 | |
| ## --------- ## | |
| ## Platform. ## |
| /* | |
| * levmarq.c | |
| * | |
| * This file contains an implementation of the Levenberg-Marquardt algorithm | |
| * for solving least-squares problems, together with some supporting routines | |
| * for Cholesky decomposition and inversion. No attempt has been made at | |
| * optimization. In particular, memory use in the matrix routines could be | |
| * cut in half with a little effort (and some loss of clarity). | |
| * | |
| * It is assumed that the compiler supports variable-length arrays as |
| var SLR = ML.Regression.SLR; | |
| var inputs = [10, 20, 50, 75, 80]; | |
| var outputs = [30, 50, 80, 100, 130]; | |
| var regression = new SLR(inputs, outputs); | |
| var y = regression.predict(85); | |
| var min = 1000000; | |
| var max = -100000; |