##python vs ruby
###Выборка элементов из массива
ruby
arr[n..m]| // 3 -> 1 CC | |
| //Найти последний символ | |
| 2q1->2q1R | |
| 1q1->1q1R | |
| 0q1->0q1R | |
| Bq1->Bq2L // Нашли последний символ, встали на него и начинаем вычитание | |
| //Вычесть 1 из троичного числа | |
| 2q2->1q3R // Прибавление 1 к единичному числу |
| void CCorpus::loadWithMystem(const std::string& fname) | |
| { | |
| std::system(("./mystem -e UTF-8 -n -l -i -w " + fname + " > " + fname + ".m").c_str()); | |
| std::ifstream from_mystem((fname + ".m").c_str()); | |
| std::string line; | |
| std::string temp; | |
| while (std::getline(from_mystem, line)) | |
| { |
| # загружаем дефолтный профиль оболочки | |
| source /etc/profile | |
| # | |
| # тут немного всякой хери, смысл которой я сам не особо понимаю | |
| # | |
| # Use hard limits, except for a smaller stack and no core dumps | |
| unlimit | |
| limit stack 8192 |
| # You want latexmk to *always* run, because make does not have all the info. | |
| # Also, include non-file targets in .PHONY so they are run regardless of any | |
| # file of the given name existing. | |
| FNAME = ref | |
| .PHONY: $(FNAME).pdf all no_bible clean | |
| # The first rule in a Makefile is the one executed by default ("make"). It |
##python vs ruby
###Выборка элементов из массива
ruby
arr[n..m]| set nocompatible " be iMproved, required | |
| filetype off " required | |
| " set the runtime path to include Vundle and initialize | |
| set rtp+=~/.vim/bundle/Vundle.vim | |
| call vundle#begin() | |
| " alternatively, pass a path where Vundle should install plugins | |
| "call vundle#begin('~/some/path/here') | |
| " let Vundle manage Vundle, required |
I hereby claim:
To claim this, I am signing this object:
| #!/bin/bash | |
| PROJECT_NAME="$1" | |
| SCALA_VERSION="2.11.8" | |
| SCALATEST_VERSION="3.0.0" | |
| mkdir $PROJECT_NAME | |
| cd $PROJECT_NAME | |
| cat > build.sbt << EOF |
| # Common analizer interface | |
| class TSemanticAnaliser | |
| def analise_text(text) | |
| # returns double | |
| end | |
| def learn(array_of_texts) |
| Twitter bot for automated detection and re-twitting influential thematic posts. | |
| === | |
| Assume that thematic = `programming` | |
| ##Stage 1 | |
| * Prepare examples of programmer's twitter accounts and other ones for representativity | |
| * Create graph of twitter accounts which seems to contain programmers thematic | |
| * Starting from small amount of truly programmer's accounts collect all of it's followers and following accounts | |
| * Add in queue post perspective ones based on |