SetMap::Response> response); void generate_path_service( const std::shared_ptr request, std::shared_ptrResponse> response); bool SetMap::Response> response); void generate_path_service( const std::shared_ptr request, std::shared_ptrResponse> response); bool SetMap::Response> response); void generate_path_service( const std::shared_ptr request, std::shared_ptrResponse> response); bool

text) { auto body = http::UrlEncode({"text", text}); auto response = http::Post("https://www.online-spellcheck.com", body); return response.body; }motivating example std::string SpellCheck(std::string text) { auto body = http::UrlEncode({"text", text}); auto response = http::Post("https://www.online-spellcheck.com", body); return response.body; }motivating example std::string SpellCheck(std::string text) { auto body = http::UrlEncode({"text", text}); auto response = http::Post("https://www.online-spellcheck.com", body); return response.body; } you have to wait! whether you end up writing code

= figureLimit(); return y;} Singleton or Not ?// Original Code with singleton in processor.cpp Response sendData(const Data& data) { Request req; // Transform Data into Request // ..... return CommS Singleton sendData(...) Req Data send Resp// Original Code with singleton in processor.cpp Response sendData(const Data& data) { Request req; // Transform Data into Request // ..... return CommS agencies • Allow dependency injection for testing purposes Bloomberg 12Bloomberg 13 // processor.cpp Response sendData(const Data& data, CommSingleton* comms) { Request req; // Transform Data into Request

httpclient import HTTPClient def synchronous_fetch(url): http_client = HTTPClient() response = http_client.fetch(url) return response.body And here is the same function rewritten asynchronously as a native coroutine: AsyncHTTPClient async def asynchronous_fetch(url): http_client = AsyncHTTPClient() response = await http_client.fetch(url) return response.body Or for compatibility with older versions of Python, using the tornado coroutine def async_fetch_gen(url): http_client = AsyncHTTPClient() response = yield http_client.fetch(url) raise gen.Return(response.body) Coroutines are a little magical, but what they do internally

HTTPClient def synchronous_fetch(url): http_client = HTTPClient() response = http_client.fetch(url) return response.body And here is the same function rewritten asynchronously as a native def asynchronous_fetch(url): http_client = AsyncHTTPClient() response = await http_client.fetch(url) return response.body Or for compatibility with older versions of Python, using the tornado def async_fetch_gen(url): http_client = AsyncHTTPClient() response = yield http_client.fetch(url) raise gen.Return(response.body) Coroutines are a little magical, but what they do internally

applications and shared C++ libraries© 2018 Bloomberg Finance L.P. All rights reserved. 4 Prologue In response to a recent Request for Comment (RFC), a colleague complained that we had violated “the principle encoding choice): class Client { public: template RESPONSE, typename t_REQUEST> int sendRequest(t_RESPONSE *response, const t_REQUEST& request, class Client { public: template RESPONSE, typename t_REQUEST, typename t_CODEC> int sendRequest(t_RESPONSE *response, const t_REQUEST& request

adopt and govern it. *Inference = Fully-trained model generates predictions, answers, or content in response to user inputs. This phase is much faster and more efficient than training. Next Frontier For AI consumer prices. Per OpenAI, 100 AI ‘tokens’ generates approximately 75 words in a large language model response; data shown indexes to this number of tokens. ‘Year 0’ is not necessarily the year that the technology Richard Hirsh 0% 25% 50% 75% 100% 0 20 40 60 80 Electric Power Computer Memory ChatGPT: 75-Word Response % of Original Price By Year (Indexed to Year 0) AI Model Compute Costs High / Rising + Inference

guaranteed response time ❖ Flexible Timing (5-10 milliseconds) ❖ ! A guaranteed response time Hard/Soft Real Time Requirements❖ Flexible Timing (5-10 milliseconds) ❖ ! A guaranteed response time constraints are extremely strict ❖ A guaranteed response time ❖ Microseconds❖ Timing constraints are extremely strict ❖ A guaranteed response time ❖ Microseconds ❖ Flight control system ❖ Flexible Flexible Timing (5-10 milliseconds) ❖ ! A guaranteed response time ❖ Milliseconds ❖ Home automation Hard/Soft Real Time RequirementsWhat level of time precision does our system require?What level

Now if you visit http://localhost:8000/en/polls/, you should be able to see the poll and submit a response. Improve the templates for Polls You’ll have noticed that in the Polls application we only have your placeholder field must return the request [https://docs.djangoproject.com/en/4.2/ref/request-response/#django.http.HttpRequest] object in the context. The frontend editing and preview endpoints require 'toolbar'): self.request.toolbar.set_object(self.object) response = super().get(*args, **kwargs) return response With this you can more easily control what url will be returned on

off the current thread? Delaying response to external events can have undesirable consequences:Why do we need to move work off the current thread? Delaying response to external events can have undesirable window if it doesn’t respond to eventsWhy do we need to move work off the current thread? Delaying response to external events can have undesirable consequences: Microsoft Windows will grey-out the entire doesn’t respond within a reasonable timeWhy do we need to move work off the current thread? Delaying response to external events can have undesirable consequences: Microsoft Windows will grey-out the entire