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Public transportation

Bus stops: https://gist.github.com/tredzko/b89eb0f45344fbd6cb6f
Bike shelters: https://gist.github.com/kevin-brown/6105cd9e2ec0b48ca8cd
Subways: https://gist.github.com/kevin-brown/82c27f157cf0fda54a66
For hire vehicles: https://gist.github.com/kevin-brown/75f5f0a11b9c90e4a8f4

Crime

Burglaries: https://gist.github.com/tredzko/34fae8671d98716e3298

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{
    init: function(elevators, floors) {
        function randomElevator(elevators) {
            return elevators[Math.floor(Math.random() * elevators.length)];
        };
        
        function bestElevator(floorNum) {
            var bestElevator = elevators[0];
            
            var emptyElevators = [];

kevin-brown

<p>Thank you for your interest in contributing to Select2 ("We" or "Us").</p>

<p>This contributor agreement ("Agreement") documents the rights granted by contributors to Us. To make this document effective, please sign it and send it to Us by electronic submission, following the instructions at . This is a legally binding document, so please read it carefully before agreeing to it. The Agreement may cover more than one software project managed by Us.</p>

<h2>1. Definitions</h2>

<p>"You" means the individual who Submits a Contribution to Us.</p>

<p>"Contribution" means any work of authorship that is Submitted by You to Us in which You own or assert ownership of the Copyright. If You do not own the Copyright in the entire work of authorship, please follow the instructions in .</p>

kevin-brown

function character (n) {
  var message = ' ' + n + ' znak';

  if (n % 10 < 5 && n % 10 > 0 && (n % 100 < 5 || n % 100 > 19)) {
    if (n % 10 > 1) {
      message += 'a';
    }
  } else {
    message += 'ova';
  }

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#0  0x00007fffe1c8230e in int cv::predictOrderedStump<cv::HaarEvaluator>(cv::CascadeClassifierImpl&, cv::Ptr<cv::FeatureEvaluator>&, double&) () from /usr/local/lib/libopencv_objdetect.so.3.0
#1  0x00007fffe1c82e67 in cv::CascadeClassifierImpl::runAt(cv::Ptr<cv::FeatureEvaluator>&, cv::Point_<int>, int, double&) () from /usr/local/lib/libopencv_objdetect.so.3.0
#2  0x00007fffe1c85639 in cv::CascadeClassifierInvoker::operator()(cv::Range const&) const () from /usr/local/lib/libopencv_objdetect.so.3.0
#3  0x00007fffe1c863d1 in cv::CascadeClassifierImpl::detectMultiScaleNoGrouping(cv::_InputArray const&, std::vector<cv::Rect_<int>, std::allocator<cv::Rect_<int> > >&, std::vector<int, std::allocator<int> >&, std::vector<double, std::allocator<double> >&, double, cv::Size_<int>, cv::Size_<int>, bool) () from /usr/local/lib/libopencv_objdetect.so.3.0
#4  0x00007fffe1c8e42d in cv::CascadeClassifierImpl::detectMultiScale(cv::_InputArray const&, std::vector<cv::Rect_<int>, std::allocator<cv::Rect_<int> > >&, std::vect

kevin-brown

1. Install Python 3 and the development packages

• sudo yum install python3 python3-devel

2. Install the package manager for Python 3

• sudo yum install python3-setuptools python3-pip

3. Modify setup.py to work for us.

• Change os.walk(LOCALE_PATH).next() to next(os.walk(LOCALE_PATH)) on line 123

4. Install MouseTrap using pip