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258 lines
9.5 KiB
Markdown
258 lines
9.5 KiB
Markdown
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# Nod
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[![Build Status](https://travis-ci.org/fr00b0/nod.svg?branch=master)](https://travis-ci.org/fr00b0/nod)
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[![GitHub tag](https://img.shields.io/github/tag/fr00b0/nod.svg?label=version)](https://github.com/fr00b0/nod/releases)
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Dependency free, header only signals and slot library implemented with C++11.
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## Usage
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### Simple usage
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The following example creates a signal and then connects a lambda as a slot.
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```cpp
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// Create a signal which accepts slots with no arguments and void return value.
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nod::signal<void()> signal;
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// Connect a lambda slot that writes "Hello, World!" to stdout
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signal.connect([](){
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std::cout << "Hello, World!" << std::endl;
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});
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// Call the slots
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signal();
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```
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### Connecting multiple slots
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If multiple slots are connected to the same signal, all of the slots will be
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called when the signal is invoked. The slots will be called in the same order
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as they where connected.
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```cpp
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void endline() {
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std::cout << std::endl;
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}
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// Create a signal
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nod::signal<void()> signal;
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// Connect a lambda that prints a message
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signal.connect([](){
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std::cout << "Message without endline!";
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});
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// Connect a function that prints a endline
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signal.connect(endline);
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// Call the slots
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signal();
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```
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#### Slot type
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The signal types in the library support connection of the same types that is
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supported by `std::function<T>`.
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### Slot arguments
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When a signal calls it's connected slots, any arguments passed to the signal
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are propagated to the slots. To make this work, we do need to specify the
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signature of the signal to accept the arguments.
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```cpp
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void print_sum( int x, int y ) {
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std::cout << x << "+" << y << "=" << (x+y) << std::endl;
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}
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void print_product( int x, int y ) {
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std::cout << x << "*" << y << "=" << (x*y) << std::endl;
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}
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// We create a signal with two integer arguments.
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nod::signal<void(int,int)> signal;
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// Let's connect our slot
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signal.connect( print_sum );
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signal.connect( print_product );
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// Call the slots
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signal(10, 15);
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signal(-5, 7);
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```
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### Disconnecting slots
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There are many circumstances where the programmer needs to diconnect a slot that
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no longer want to recieve events from the signal. This can be really important
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if the lifetime of the slots are shorter than the lifetime of the signal. That
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could cause the signal to call slots that have been destroyed but not
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disconnected, leading to undefined behaviour and probably segmentation faults.
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When a slot is connected, the return value from the `connect` method returns
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an instance of the class `nod::connection`, that can be used to disconnect
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that slot.
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```cpp
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// Let's create a signal
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nod::signal<void()> signal;
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// Connect a slot, and save the connection
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nod::connection connection = signal.connect([](){
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std::cout << "I'm connected!" << std::endl;
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});
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// Triggering the signal will call the slot
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signal();
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// Now we disconnect the slot
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connection.disconnect();
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// Triggering the signal will no longer call the slot
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signal();
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```
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### Scoped connections
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To assist in disconnecting slots, one can use the class `nod::scoped_connection`
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to capture a slot connection. A scoped connection will automatically disconnect
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the slot when the connection object goes out of scope.
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```cpp
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// We create a signal
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nod::signal<void()> signal;
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// Let's use a scope to control lifetime
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{
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// Let's save the connection in a scoped_connection
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nod::scoped_connection connection =
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signal.connect([](){
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std::cout << "This message should only be emitted once!" << std::endl;
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});
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// If we trigger the signal, the slot will be called
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signal();
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} // Our scoped connection is destructed, and disconnects the slot
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// Triggering the signal now will not call the slot
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signal();
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```
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### Slot return values
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#### Accumulation of return values
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It is possible for slots to have a return value. The return values can be
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returned from the signal using a *accumulator*, which is a function object that
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acts as a proxy object that processes the slot return values. When triggering a
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signal through a accumulator, the accumulator gets called for each slot return
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value, does the desired accumulation and then return the result to the code
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triggering the signal. The accumulator is designed to work in a similar way as
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the STL numerical algorithm `std::accumulate`.
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```cpp
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// We create a singal with slots that return a value
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nod::signal<int(int, int)> signal;
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// Then we connect some signals
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signal.connect( std::plus<int>{} );
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signal.connect( std::multiplies<int>{} );
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signal.connect( std::minus<int>{} );
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// Let's say we want to calculate the sum of all the slot return values
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// when triggering the singal with the parameters 10 and 100.
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// We do this by accumulating the return values with the initial value 0
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// and a plus function object, like so:
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std::cout << "Sum: " << signal.accumulate(0, std::plus<int>{})(10,100) << std::endl;
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// Or accumulate by multiplying (this needs 1 as initial value):
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std::cout << "Product: " << signal.accumulate(1, std::multiplies<int>{})(10,100) << std::endl;
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// If we instead want to build a vector with all the return values
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// we can accumulate them this way (start with a empty vector and add each value):
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auto vec = signal.accumulate( std::vector<int>{}, []( std::vector<int> result, int value ) {
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result.push_back( value );
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return result;
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})(10,100);
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std::cout << "Vector: ";
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for( auto const& element : vec ) {
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std::cout << element << " ";
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}
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std::cout << std::endl;
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```
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#### Aggregation
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As we can see from the previous example, we can use the `accumulate` method if
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we want to aggregate all the return values of the slots. Doing the aggregation
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that way is not very optimal. It is both a inefficient algorithm for doing
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aggreagtion to a container, and it obscures the call site as the caller needs to
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express the aggregation using the verb *accumulate*. To remedy these
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shortcomings we can turn to the method `aggregate` instead. This is a template
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method, taking the type of container to aggregate to as a template parameter.
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```cpp
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// We create a singal
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nod::signal<int(int, int)> signal;
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// Let's connect some slots
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signal.connect( std::plus<int>{} );
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signal.connect( std::multiplies<int>{} );
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signal.connect( std::minus<int>{} );
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// We can now trigger the signal and aggregate the slot return values
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auto vec = signal.aggregate<std::vector<int>>(10,100);
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std::cout << "Result: ";
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for( auto const& element : vec ) {
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std::cout << element << " ";
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}
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std::cout << std::endl;
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```
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## Thread safety
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There are two types of signals in the library. The first is `nod::signal<T>`
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which is safe to use in a multi threaded environment. Multiple threads can read,
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write, connect slots and disconnect slots simultaneously, and the signal will
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provide the nessesary synchronization. When triggering a slignal, all the
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registered slots will be called and executed by the thread that triggered the
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signal.
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The second type of signal is `nod::unsafe_signal<T>` which is **not** safe to
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use in a multi threaded environment. No syncronization will be performed on the
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internal state of the signal. Instances of the signal should theoretically be
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safe to read from multiple thread simultaneously, as long as no thread is
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writing to the same object at the same time. There can be a performance gain
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involved in using the unsafe version of a signal, since no syncronization
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primitives will be used.
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`nod::connection` and `nod::scoped_connection` are thread safe for reading from
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multiple threads, as long as no thread is writing to the same object. Writing in
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this context means calling any non const member function, including destructing
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the object. If an object is being written by one thread, then all reads and
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writes to that object from the same or other threads needs to be prevented.
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This basically means that a connection is only allowed to be disconnected from
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one thread, and you should not check connection status or reassign the
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connection while it is being disconnected.
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## Building the tests
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The test project uses [premake5](https://premake.github.io/download.html) to
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generate make files or similiar.
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### Linux
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To build and run the tests using gcc and gmake on linux, execute the following
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from the test directory:
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```bash
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premake5 gmake
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make -C build/gmake
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bin/gmake/debug/nod_tests
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```
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### Visual Studio 2013
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To build and run the tests, execute the following from the test directory:
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```batchfile
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REM Adjust paths to suite your environment
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c:\path\to\premake\premake5.exe vs2013
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"c:\Program Files (x86)\Microsoft Visual Studio 12.0\Common7\Tools\vsvars32.bat"
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msbuild /m build\vs2013\nod_tests.sln
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bin\vs2013\debug\nod_tests.exe
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```
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## The MIT License (MIT)
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Copyright (c) 2015 Fredrik Berggren
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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