typename DynamicBufferV2, typename CompletionToken> decltype(auto) async_read(AsyncReadStream& stream, DynamicBufferV2 buffer, CompletionToken&& token); 9 Dynamic Buffer Requirements struct /* . typename ConstBufferSequence, typename CompletionToken> decltype(auto) async_write(AsyncWriteStream& stream, message_type type, async_write_state& state, ConstBufferSequence payload, CompletionToken&& WaitableTimer, typename Events, typename CompletionToken> decltype(auto) async_heartbeat(AsyncWriteStream& stream, async_write_state& state, WaitableTimer& timer, Events events, CompletionToken&& token); 16

enum Key to Compressed String Hu�man Coding for compression Output struct: Mapping of Key -> bit stream location/length Compressed bitstream Hu�man tree encoded into array Lookup -> iterator over compressed char -> bitstream cache Build encoded bit stream Build index -> bit position / string length lookup Package Hu�man tree to array Combine Hu�man tree, bit stream and index lookup into result 10 . 7/ Constrain tree = BuildHuffmanTree(makeStringsLambda); ResultType stream; // fill output stream... return stream } 10 . 11/ constexpr auto charLookup = MakeCharacterLookupTable();

has some representation • A large number of possible representations • There are many kinds of processing (algorithms) • A very large number of algorithms • In any given problem space, the choices are Back to Basics: Classic STL Copyright © 2021 Bob Steagall Reading Elements (Bytes) From a FILE Stream 31 Action Operation Read element and advance b = fgetc(p) Compare for end-of-file equality b == EOF, feof(p) Make a copy (assign) q = p O(1) - constant time • Consider a pointer to a FILE stream opened for input • What can you do with it? bn-1 bn-2 bn-4 bn-5 bn-6 … … … … … bn-3 bn FILE* p

unpacked. So far there is no simple way to process the parameter package, but there are two classic processing methods: 1. Recursive template function Recursion is a very easy way to think of and the most 35 Conclusion CHAPTER 02: LANGUAGE USABILITY ENHANCEMENTS std::ostream>::type& stream, const T& e) { return stream << static_cast::type>(e); } At this point, the solution is to use the regular expression library of boost. C++11 officially incorporates the processing of regular expressions into the standard library, providing standard support from the language

packages and dependencies across platforms and␣ ˓→build systems."}; char buffer_out [256] = {0}; z_stream defstream; defstream.zalloc = Z_NULL; defstream.zfree = Z_NULL; defstream.opaque = Z_NULL; defstream libraries, binaries) from the build and source folder to a predetermined place and maybe do some post-processing of those artifacts. This will work without changes in your CMakeLists.txt because Conan will set packages and dependencies across platforms and␣ ˓→build systems."}; char buffer_out [256] = {0}; z_stream defstream; defstream.zalloc = Z_NULL; defstream.zfree = Z_NULL; defstream.opaque = Z_NULL; defstream

packages and dependencies across platforms and␣ ˓→build systems."}; char buffer_out [256] = {0}; z_stream defstream; defstream.zalloc = Z_NULL; defstream.zfree = Z_NULL; defstream.opaque = Z_NULL; defstream libraries, binaries) from the build and source folder to a predetermined place and maybe do some post-processing of those artifacts. This will work without changes in your CMakeLists.txt because Conan will set packages and dependencies across platforms and␣ ˓→build systems."}; char buffer_out [256] = {0}; z_stream defstream; defstream.zalloc = Z_NULL; defstream.zfree = Z_NULL; defstream.opaque = Z_NULL; defstream

learning on embedded devices ◮ Alternative to cloud-based machine learning ◮ Advantages: ◮ Real-time processing ◮ Low latency ◮ Reduced bandwidth usage ◮ Offline operation ◮ Improved privacy ◮ Disadvantages: consumption with 4 threads: 118MB 38 / 50Capture camera stream ◮ libcamera backend ◮ gstreamer middleware ◮ OpenCV frontend 39 / 50Capture camera stream 1 static constexpr const char *GstreamerPipeline{R"(

packages and dependencies across platforms and␣ ˓→build systems."}; char buffer_out [256] = {0}; z_stream defstream; defstream.zalloc = Z_NULL; defstream.zfree = Z_NULL; defstream.opaque = Z_NULL; defstream libraries, binaries) from the build and source folder to a predetermined place and maybe do some post-processing of those artifacts. This will work without changes in your CMakeLists.txt because Conan will set packages and dependencies across platforms and␣ ˓→build systems."}; char buffer_out [256] = {0}; z_stream defstream; defstream.zalloc = Z_NULL; defstream.zfree = Z_NULL; defstream.opaque = Z_NULL; defstream

packages and dependencies across platforms and␣ ˓→build systems."}; char buffer_out [256] = {0}; z_stream defstream; defstream.zalloc = Z_NULL; defstream.zfree = Z_NULL; defstream.opaque = Z_NULL; defstream libraries, binaries) from the build and source folder to a predetermined place and maybe do some post-processing of those artifacts. This will work without changes in your CMakeLists.txt because Conan will set packages and dependencies across platforms and␣ ˓→build systems."}; char buffer_out [256] = {0}; z_stream defstream; defstream.zalloc = Z_NULL; defstream.zfree = Z_NULL; defstream.opaque = Z_NULL; defstream

packages and dependencies across platforms and␣ ˓→build systems."}; char buffer_out [256] = {0}; z_stream defstream; defstream.zalloc = Z_NULL; defstream.zfree = Z_NULL; defstream.opaque = Z_NULL; defstream libraries, binaries) from the build and source folder to a predetermined place and maybe do some post-processing of those artifacts. This will work without changes in your CMakeLists.txt because Conan will set packages and dependencies across platforms and␣ ˓→build systems."}; char buffer_out [256] = {0}; z_stream defstream; defstream.zalloc = Z_NULL; defstream.zfree = Z_NULL; defstream.opaque = Z_NULL; defstream