javascript Deferred and recursion limit examples_javascript skills
Do you know about Deferred and recursion limit? There is a good example below, you can take a look
function runAsyncTTS(text,speecher,audiopath) { var def = jQuery.Deferred(); var args = {"SynthText": text, "VoiceSpeecher": speecher, "WordSpeed": "3", "UseCSSML": "0", "AudioPath": audiopath}; tts.asyncTTS(JSON.stringify(args),function(err,result) { def.resolve(result); }); return def.promise(); }
function textToSpeechBat(metaJson, speecher, audioPath) { var def = $.Deferred(); var result = {originalWords:"", resultJsonArr:[]}; var jsons=""; for(var index=0;index < metaJson.words.length;index++) { var audioName = metaJson.words[index]['audio']; audioName = audioName.replace('.mp3',''); var audioFile = audioPath +"/" + audioName + '.wav'; var args = '{"SynthText": "'+metaJson.words[index]['word']+'", "VoiceSpeecher": "'+speecher+'", "WordSpeed": "3", "UseCSSML": "0", "AudioPath": "'+audioFile+'"}'; jsons += args + "|"; } jsons = jsons.substr(0,jsons.length-1); tts.asyncTTSBat(jsons,function(err,ret) { result['resultJsonArr'] = ret.split('|'); def.resolve(result); }); return def.promise(); }
function textToSpeechWithTryTimes(metaJson, speecher, audioPath,times) { var def = $.Deferred(); var ttsRet = null; var ttsCallBack = function(index) { if(index < times) { textToSpeechBat(metaJson,speecher,audioPath).done(function (ret) { console.log("textToSpeechWithTryTimes:"+JSON.stringify(ret)); ttsRet = ret; var resultJsonArr = ret.resultJsonArr; var audioFlag = true; for(var i=0;i<resultJsonArr.length;i++) { if(resultJsonArr[i] == "") { audioFlag = false; break; } var retObj = JSON.parse(resultJsonArr[i]); console.log(retObj['audioFlag']); if(retObj['audioFlag'] == 'false' || retObj['result']=="") { audioFlag = false; break; } } console.log(audioFlag); if(audioFlag == false) { console.log("textToSpeechWithTryTimes Fail, try again!"); ttsCallBack(++index); }else { console.log("textToSpeechWithTryTimes succeed,return"); def.resolve(ret); } }); } if(index == times) { console.log("textToSpeechWithTryTimes timesover,return"); def.resolve(ttsRet); } }; ttsCallBack(0); return def.promise(); }

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The recursion depth of C++ functions is limited, and exceeding this limit will result in a stack overflow error. The limit value varies between systems and compilers, but is usually between 1,000 and 10,000. Solutions include: 1. Tail recursion optimization; 2. Tail call; 3. Iterative implementation.

Yes, C++ Lambda expressions can support recursion by using std::function: Use std::function to capture a reference to a Lambda expression. With a captured reference, a Lambda expression can call itself recursively.

Given two strings str_1 and str_2. The goal is to count the number of occurrences of substring str2 in string str1 using a recursive procedure. A recursive function is a function that calls itself within its definition. If str1 is "Iknowthatyouknowthatiknow" and str2 is "know" the number of occurrences is -3. Let us understand through examples. For example, input str1="TPisTPareTPamTP", str2="TP"; output Countofoccurrencesofasubstringrecursi

The recursive algorithm solves structured problems through function self-calling. The advantage is that it is simple and easy to understand, but the disadvantage is that it is less efficient and may cause stack overflow. The non-recursive algorithm avoids recursion by explicitly managing the stack data structure. The advantage is that it is more efficient and avoids the stack. Overflow, the disadvantage is that the code may be more complex. The choice of recursive or non-recursive depends on the problem and the specific constraints of the implementation.

Python is a programming language that is easy to learn and use. However, when using Python to write recursive functions, you may encounter errors in which the recursion depth is too large. This problem needs to be solved. This article will show you how to solve Python's maximum recursion depth error. 1. Understand recursion depth. Recursion depth refers to the number of layers of nested recursive functions. By default in Python, the limit of recursion depth is 1000. If the number of recursion levels exceeds this limit, the system will report an error. This error is often called the "maximum recursion depth error"

We take the integer array Arr[] as input. The goal is to find the largest and smallest elements in an array using a recursive method. Since we are using recursion, we will iterate through the entire array until we reach length = 1 and then return A[0], which forms the base case. Otherwise, the current element is compared to the current minimum or maximum value and its value is updated recursively for subsequent elements. Let’s look at various input and output scenarios for this −Input −Arr={12,67,99,76,32}; Output −Maximum value in the array: 99 Explanation &mi

A recursive function is a technique that calls itself repeatedly to solve a problem in string processing. It requires a termination condition to prevent infinite recursion. Recursion is widely used in operations such as string reversal and palindrome checking.

How to use Vue form processing to implement recursive nesting of forms Introduction: As the complexity of front-end data processing and form processing continues to increase, we need a flexible way to handle complex forms. As a popular JavaScript framework, Vue provides us with many powerful tools and features to handle recursive nesting of forms. This article will introduce how to use Vue to handle such complex forms, and attach code examples. 1. Recursive nesting of forms In some scenarios, we may need to deal with recursive nesting.
