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  • Android下各语言加callStack打印信息的示例 包括C语言, C++,Java和Kernel Space。
  • callstack.h

    2020-11-05 19:01:33
    android开发,打印调用栈
  • android callstack.cpp

    2020-11-05 19:00:50
    android开发,打印调用栈 ,callstack.cpp,android开发,打印调用栈,android开发,打印调用栈
  • Android中添加CallStack

    千次阅读 2021-11-15 16:28:59
    Java中添加callstack常见以下几种方式。 import android.util.Log; //(1) Exception e = new Exception("this is a log"); e.printStackTrace(); //(2) Thread.currentThread().getStackTrace(); //(3) Log...

    (1)Java中添加

    Java中添加callstack常见以下几种方式。

    import android.util.Log;
    
    //(1)
    Exception e = new Exception("this is a log");
    e.printStackTrace();
    
    //(2)
    Thread.currentThread().getStackTrace();
    
    //(3)
    Log.e("dump_test" , Log.getStackTraceString(new Throwable()));
    

    (2)C++中添加

    (A)Mtk Camera Hal中有自定义的stack

    //vendor/mediatek/proprietary/hardware/mtkcam/include/mtkcam/utils/std
    //Misc.h
    
    namespace NSCam {
    	namespace Utils {
    
    		void dumpCallStack(char const* prefix = 0);
    
    		bool	saveBufToFile(char const*const    fname, unsigned char*const buf, unsigned int const  size);
    	
    		unsigned int loadFileToBuf(char const*const    fname, unsigned char*const buf, unsigned int const  capacity);
    	}
    }
    
    //vendor/mediatek/proprietary/hardware/mtkcam/utils/std
    //Misc.cpp
    
    //可使用如下方式进行使用
    NSCam::Utils::dumpCallStack(__FUNCTION__);
    
    NSCam::Utils::saveBufToFile(filename,
                            (unsigned char*)jpg.mOutputJpegBuffer->getBufVA(0),
                            jpg.mOutputJpegBuffer->getBufSizeInBytes(0));
    
    //使用示例
    #include <mtkcam/utils/std/Misc.h>
    using namespace NSCam;
    using namespace android;
    using namespace std;
    
    NSCam::Utils::dumpCallStack(__FUNCTION__);
    

    打印示例

    11-15 15:37:23.082   748  6053 I MtkCam/Utils/encodeMainJpeg:  pid(748) tid(6053) Cam@Jpeg
    11-15 15:37:23.082   748  6053 I MtkCam/Utils/encodeMainJpeg:   #00 pc 0000000000003040  /vendor/lib64/libladder.so (UnwindCurThreadBT+120)
    11-15 15:37:23.082   748  6053 I MtkCam/Utils/encodeMainJpeg:   #01 pc 000000000000e4c4  /vendor/lib64/libmtkcam_stdutils.so (NSCam::Utils::dumpCallStack(char const*)+52)
    11-15 15:37:23.082   748  6053 I MtkCam/Utils/encodeMainJpeg:   #02 pc 00000000001702ec  /vendor/lib64/libmtkcam_hwnode.so (JpegNodeImp::encodeMainJpeg(android::sp<encode_frame>&)+44)
    11-15 15:37:23.082   748  6053 I MtkCam/Utils/encodeMainJpeg:   #03 pc 000000000016ceb4  /vendor/lib64/libmtkcam_hwnode.so (onProcessRequest(JpegNodeImp&, Request&)+788)
    11-15 15:37:23.082   748  6053 I MtkCam/Utils/encodeMainJpeg:   #04 pc 000000000017f064  /vendor/lib64/libmtkcam_hwnode.so (void* std::__1::__thread_proxy<std::__1::tuple<std::__1::unique_ptr<std::__1::__thread_struct, std::__1::default_delete<std::__1::__thread_struct> >, void (*)(JpegNodeImp&, Request&), std::__1::reference_wrapper<JpegNodeImp>, std::__1::reference_wrapper<Request> > >(void*)+44)
    11-15 15:37:23.082   748  6053 I MtkCam/Utils/encodeMainJpeg:   #05 pc 00000000000b0bd8  /apex/com.android.runtime/lib64/bionic/libc.so (__pthread_start(void*)+64)
    11-15 15:37:23.082   748  6053 I MtkCam/Utils/encodeMainJpeg:   #06 pc 00000000000505d0  /apex/com.android.runtime/lib64/bionic/libc.so (__start_thread+64)
    

    (B)C++中通用添加

    (a)在Android.bp / Android.mk 中添加 libutilscallstack

    //Android.bp
    shared_libs: [
            "libutilscallstack",
            ]
    
    //Android.mk
    LOCAL_SHARED_LIBRARIES:= libutilscallstack
    //或
    LOCAL_JNI_SHARED_LIBRARIES := libutilscallstack
    

    (b)在C++源码文件预编译 include 中添加

    #include <utils/CallStack.h>
    

    (c)添加代码实现

    #include <utils/CallStack.h>  
    using android::CallStack;
    
    CallStack stack; 
    stack.update(); 
    stack.log(__FUNCTION__);
    

    (d)系统库的源码位置

    //system/core/libutils/include/utils/CallStack.h
    
    class CallStack {
    public:
        CallStack();
        ~CallStack();
    
        void clear() { mFrameLines.clear(); }
        
        void update(int32_t ignoreDepth = 1, pid_t tid = BACKTRACE_CURRENT_THREAD);
    
        void log(const char* logtag,
                 android_LogPriority priority = ANDROID_LOG_DEBUG,
                 const char* prefix = nullptr) const;
    
        void dump(int fd, int indent = 0, const char* prefix = nullptr) const;
    
        String8 toString(const char* prefix = nullptr) const;
    
        void print(Printer& printer) const;
    
    }
    
    //system/core/libutils/CallStack.cpp
    

    (e)打印示例

    11-15 15:37:23.394   748  6053 D encodeMainJpeg: #00 pc 00000000001703d4  /vendor/lib64/libmtkcam_hwnode.so (JpegNodeImp::encodeMainJpeg(android::sp<encode_frame>&)+276)
    11-15 15:37:23.394   748  6053 D encodeMainJpeg: #01 pc 000000000016ceb4  /vendor/lib64/libmtkcam_hwnode.so (onProcessRequest(JpegNodeImp&, Request&)+788)
    11-15 15:37:23.394   748  6053 D encodeMainJpeg: #02 pc 000000000017f064  /vendor/lib64/libmtkcam_hwnode.so (void* std::__1::__thread_proxy<std::__1::tuple<std::__1::unique_ptr<std::__1::__thread_struct, std::__1::default_delete<std::__1::__thread_struct> >, void (*)(JpegNodeImp&, Request&), std::__1::reference_wrapper<JpegNodeImp>, std::__1::reference_wrapper<Request> > >(void*)+44)
    11-15 15:37:23.394   748  6053 D encodeMainJpeg: #03 pc 00000000000b0bd8  /apex/com.android.runtime/lib64/bionic/libc.so (__pthread_start(void*)+64)
    11-15 15:37:23.394   748  6053 D encodeMainJpeg: #04 pc 00000000000505d0  /apex/com.android.runtime/lib64/bionic/libc.so (__start_thread+64)
    

    (3)Kernel中添加

    Kernel中较简单,直接有现成的函数可以使用

    dump_stack()  //这个函数打出当前堆栈和函数调用backtrace后接着运行
    
    WARN_ON(x)  //这个函数跟dump_stack很像,如果条件满足了就把stack打出来
    //WARN_ON(1);
    
    展开全文
  • 主要介绍了Java反射之Call stack introspection详解,具有一定参考价值,需要的朋友可以了解下。
  • CallStack获取函数堆栈

    2021-07-28 11:36:53
    之前总看Android的源码感觉CallStack做的很不错,现在终于用户三方库libunwind做出了自己的CallStack,虽然代码不多,但也是自己写的 上代码 /*******************************************************************...

    之前总看Android的源码感觉CallStack做的很不错,现在终于用户三方库libunwind做出了自己的CallStack,虽然代码不多,但也是自己写的

    上代码

    /*************************************************************************
        > File Name: callstack.h
        > Author: hsz
        > Mail:
        > Created Time: Tue 27 Jul 2021 06:02:23 PM CST
     ************************************************************************/
    
    #ifndef __ALIAS_CALLSTACK_H__
    #define __ALIAS_CALLSTACK_H__
    #include <log/log.h>			// 自己写的log
    #include <stdio.h>
    #include <vector>
    #include <utils/string8.h>		// 仿照Android String8,添加了移动构造和移动赋值
    
    namespace Alias {
    
    class CallStack {
    public:
        CallStack();
        CallStack(const char* logtag, int32_t ignoreDepth = 1);
        ~CallStack();
    
        void clear() { mStackFrame.clear(); }
    
        // Immediately collect the stack traces for the specified thread.
        // The default is to dump the stack of the current call.
        void update(int32_t ignoreDepth = 2);
    
        void log(const char* logtag,
                 LogLeval::Leval leval = LogLeval::DEBUG) const;
    
        // Return a string (possibly very long) containing the complete stack trace.
        String8 toString() const;
    
        // Get the count of stack frames that are in this call stack.
        size_t size() const { return mStackFrame.size(); }
    
    private:
        std::vector<String8>    mStackFrame;
        uint32_t                mSkip;
    };
    } // namespace Alias
    
    #endif // __ALIAS_CALLSTACK_H__
    
    /*************************************************************************
        > File Name: callstack.cpp
        > Author: hsz
        > Mail:
        > Created Time: Tue 27 Jul 2021 06:02:27 PM CST
     ************************************************************************/
    
    #define UNW_LOCAL_ONLY
    #include "callstack.h"
    #include <cxxabi.h>
    #include <libunwind.h>
    #include <stdlib.h>
    
    namespace Alias {
    CallStack::CallStack()
    {
    
    }
    
    CallStack::CallStack(const char* logtag, int32_t ignoreDepth)
    {
        this->update(ignoreDepth + 1);
        this->log(logtag);
    }
    
    CallStack::~CallStack()
    {
        
    }
    
    void CallStack::update(int32_t ignoreDepth)
    {
        mSkip = ignoreDepth;
        unw_cursor_t cursor;
        unw_context_t context;
    
        unw_getcontext(&context);
        unw_init_local(&cursor, &context);
    
        while (unw_step(&cursor) > 0)
        {
            unw_word_t offset, funcPointer;
            unw_get_reg(&cursor, UNW_REG_IP, &funcPointer);
            if (funcPointer == 0) {
                break;
            }
    
            char sym[256];
            if (unw_get_proc_name(&cursor, sym, sizeof(sym), &offset) == 0) {
                char *nameptr = sym;
                int status = -1;
                char *demangled = abi::__cxa_demangle(sym, nullptr, nullptr, &status);
                if (status == 0) {
                    nameptr = demangled;
                }
                mStackFrame.push_back(std::move(String8::format("-0x%012x: (%s + %p)", funcPointer, nameptr, offset)));
                std::free(demangled);
            } else {
                mStackFrame.push_back(std::move(String8::format("(unable to obtain symbol name for this frame)")));
            }
        }
    }
    
    void CallStack::log(const char* logtag, LogLeval::Leval leval) const
    {
        for (size_t i = 0; i < mStackFrame.size() - mSkip; ++i) {
            log_write(leval, logtag, "%s\n", mStackFrame[i].c_str());
        }
    }
    
    String8 CallStack::toString() const
    {
        String8 str;
        for (size_t i = 0; i < mStackFrame.size(); ++i) {
            str += mStackFrame[i];
            str += "\n";
        }
        return std::move(str);
    }
    
    } // namespace Alias
    

    ·测试代码

    #include <utils/callstack.h>
    #include <utils/thread.h>
    
    namespace ns
    {
        template <typename T, typename U>
        void func(T t, U u)
        {
            Alias::CallStack cs;
            cs.update();
            Alias::String8 str = cs.toString();
            printf("%s\n\n\n", str.c_str());
    
            cs.log("DEBUG");
        }
    }
    
    template <typename T>
    struct Len
    {
    public:
        void len()
        {
            Alias::String8 s;
            ns::func(t, s);
        }
    private:
        T t;
    };
    
    int thread(void *arg)
    {
        Len<int> l;
        l.len();
        return 0;
    }
    
    int main()
    {
        Len<int> l;
        l.len();
    
        Alias::Thread th("Thread", thread);
        th.run();
        sleep(2);
        return 0;
    }
    

    编译

    在这里插入图片描述

    在这里插入图片描述

    运行

    在这里插入图片描述

    展开全文
  • utils/CallStack.h> #include<utils/Log.h> android::CallStack stack; stack.update(); stack.dump(1); //输出到printf stack.log("dsfdsfds"); //输出到logcat : undefined reference to...

     

     


    #include <utils/CallStack.h>
         #include<utils/Log.h>

     

    android::CallStack stack;
          stack.update();
          stack.dump(1); 
          //输出到printf
          stack.log("dsfdsfds"); 
          //输出到logcat

     

     

     

    : undefined reference to 'android::CallStack::CallStack()'
    hardware/interfaces/light/2.0/default/Light.cpp:155: error: undefined reference to 'android::CallStack::update(int, int)'
    hardware/interfaces/light/2.0/default/Light.cpp:156: error: undefined reference to 'android::CallStack::dump(int, int, char const*) const'
    hardware/interfaces/light/2.0/default/Light.cpp:158: error: undefined reference to 'android::CallStack::log(char const*, android_LogPriority, char const*) const'
    hardware/interfaces/light/2.0/default/Light.cpp:180: error: undefined reference to 'android::CallStack::~CallStack()'

     

     

    https://stackoverflow.com/questions/55844214/trouble-with-undefined-reference-to-callstack-library

    老外还是牛逼的

    libutilscallstack

     

    "libutils","libcutils",

    以前的不好使了

    得加libutilscallstack  

    确实看makefile就明白了

     

    展开全文
  • 调用栈(call stack

    千次阅读 2019-07-26 02:17:38
    调用栈的英文叫做call stack,从其英文书名来看,知道它本身就是一个栈,故而它满足栈的先入后出的特性。 wiki上有篇文章讲述call stack:http://en.wikipedia.org/wiki/Call_stack 关于栈的溢出(stack overflow)...

    调用栈的英文叫做call stack,从其英文书名来看,知道它本身就是一个栈,故而它满足栈的先入后出的特性。

    wiki上有篇文章讲述call stack:http://en.wikipedia.org/wiki/Call_stack

    关于栈的溢出(stack overflow),有下面的定义:

    Since the call stack is organized as a stack, the caller pushes the return address onto the stack, and the called subroutine, when it finishes, pops the return address off the call stack and transfers control to that address. If a called subroutine calls on to yet another subroutine, it will push another return address onto the call stack, and so on, with the information stacking up and unstacking as the program dictates. If the pushing consumes all of the space allocated for the call stack, an error called a stack overflow occurs, generally causing the program to crash.

    关于call stack的作用,它也谈到了:

    Storing the return address When a subroutine is called, the location (address) of the instruction at which it can later resume needs to be saved somewhere. Using a stack to save the return address has important advantages over alternatives. One is that each task has its own stack, and thus the subroutine can be reentrant, that is, can be active simultaneously for different tasks doing different things. Another benefit is that recursion is automatically supported. When a function calls itself recursively, a return address needs to be stored for each activation of the function so that it can later be used to return from the function activation. This capability is automatic with a stack.

    存储指令的返回地址,是call stack最重要的作用,简单,而且会带来很多其它的好处,譬如每个线程维护自己的调用栈,还有递归调用。

    Local data storage A subroutine frequently needs memory space for storing the values of local variables, the variables that are known only within the active subroutine and do not retain values after it returns. It is often convenient to allocate space for this use by simply moving the top of the stack by enough to provide the space. This is very fast compared to heap allocation. Note that each separate activation of a subroutine gets its own separate space in the stack for locals.

    局部数据存储在栈这样的存储空间中,比堆存储要快得多,原因在于,只需要简单的移动栈顶的位置就可以了,当需要分配栈空间时。

    Parameter passing Subroutines often require that values for parameters be supplied to them by the code which calls them, and it is not uncommon that space for these parameters may be laid out in the call stack. Generally if there are only a few small parameters, processor registers will be used to pass the values, but if there are more parameters than can be handled this way, memory space will be needed. The call stack works well as a place for these parameters, especially since each call to a subroutine, which will have differing values for parameters, will be given separate space on the call stack for those values.

    调用栈还可以用来传递调用函数的参数,通常是在参数较多的时候。

    Pointer to current instance Some object-oriented languages (e.g., C++), store the this pointer along with function arguments in the call stack when invoking methods. The this pointer points to the object instance associated with the method to be invoked.

    它还可以用来传递C++中的this指针。

    Enclosing subroutine context Some programming languages (e.g., Pascal and Ada) support nested subroutines, allowing an inner routine to access the context of its outer enclosing routine, i.e., the parameters and local variables within the scope of the outer routine. Such static nesting can repeat - a function declared within a function declared within a function... The implementation must provide a means by which a called function at any given static nesting level can reference the enclosing frame at each enclosing nesting level. Commonly this reference is implemented by a pointer to the encompassing frame, called a "downstack link" or "static link", to distinguish it from the "dynamic link" that refers to the immediate caller (which need not be the static parent function). For example, languages often allow inner routines to call themselves recursively, resulting in multiple call frames for the inner routine's invocations, all of whose static links point to the same outer routine context. Instead of a static link, the references to the enclosing static frames may be collected into an array of pointers known as adisplay which is indexed to locate a desired frame. The Burroughs B6500 had such a display in hardware that supported up to 32 levels of static nesting.

    用来解决一些语言支持的闭包特性。

    处理以上的作用外,文章还谈到了其它一些作用。

     

    关于call stack的具体结构布局,不同的平台系统有不同的实现:

    一个call stack通常由一个或多个栈帧(stack frames)组成,假如一个函数DrawLine正在被另外一个函数DrawSquare调用,这时候的call stack可以表示如下:

                       call stack layout

    这里栈顶向上(高地址)增长,不同的硬件平台有不同的实现。

    The stack frame at the top of the stack is for the currently executing routine. The stack frame usually includes at least the following items (in push order):

    • the arguments (parameter values) passed to the routine (if any);
    • the return address back to the routine's caller (e.g. in the DrawLine stack frame, an address into DrawSquare's code); and
    • space for the local variables of the routine (if any).

    The stack and frame pointers

    The data stored in the stack frame may sometimes be accessed directly via the stack pointer register (SP, which indicates the current top of the stack). However, as the stack pointer is variable during the activation of the routine, memory locations within the stack frame are more typically accessed via a separate register which makes relative addressing simpler and also enables dynamic allocation mechanisms (see below). This register is often termed the frame pointer or stack base pointer (BP) and is set up at procedure entry to point to a fixed location in the frame structure (such as the return address).

    Stack frame sizes

    As different routines have different parameters and local data, stack frames have varying sizes. Although they may often be fixed across all activations of a particular routine, many modern languages also support dynamicallocations on the stack, which means that the local data area will vary from activation to activation with a size that may be unspecified when the program is compiled. In this case, access via a frame pointer, rather than via the stack pointer, is usually necessary since the offsets from the stack top to values such as the return address would not be known at compile time. If the subroutine does not use dynamic stack allocation and does not call any further subroutines, the frame pointer is not needed, and the register may be used for other purposes.

    Storing the address to the caller's frame

    In most systems a stack frame has a field to contain the previous value of the frame pointer register, the value it had while the caller was executing. For example, the stack frame of DrawLine would have a memory location holding the frame pointer value that DrawSquare uses (not shown in the diagram above). The value is saved upon entry to the subroutine and restored upon return. Having such a field in a known location in the stack frame enables code to access each frame successively underneath the currently executing routine's frame, and also allows the routine to easily restore the frame pointer to the caller's frame, just before it returns.

    Lexically nested routines

    Programming languages that support nested subroutines also have a field in the call frame that points to the stack frame of the latest activation of the procedure that most closely encapsulates the callee, i.e. the immediatescope of the callee. This is called an access link or static link (as it keeps track of static nesting during dynamic and recursive calls) and provides the routine (as well as any other routines it may invoke) access to the local data of its encapsulating routines at every nesting level. Some architectures, compilers, or optimization cases store one link for each enclosing level (not just the immediately enclosing), so that deeply nested routines that access shallow data do not have to traverse several links; this strategy is often called a display.[1] Access link(s) can be optimized away in cases where an inner function does not access any (non constant) local data in the encapsulation—pure functions, i.e. routines communicating via argument(s) and return value(s) only would be an example of this. Some historical computers, such as the Burroughs large systems, had special "display registers" to support nested functions while compilers for most modern machines (such as the ubiquitous x86) simply reserve a few words on the stack for the pointers, as needed.

    Overlap

    For some purposes, the stack frame of a subroutine and that of its caller can be considered to overlap, the overlap consisting of the area where the parameters are passed from the caller to the callee. In some environments, the caller pushes each argument onto the stack, thus extending its stack frame, then invokes the callee. In other environments, the caller has a preallocated area at the top of its stack frame to hold the arguments it supplies to other subroutines it calls. This area is sometimes termed the outgoing arguments area or callout area. Under this approach, the size of the area is calculated by the compiler to be the largest needed by any called subroutine.

     

     

    转载于:https://www.cnblogs.com/zerolee/archive/2012/06/17/2552760.html

    展开全文
  • It seems like if I did something like that, the call stack would just keep growing and growing, which would not be good. Does what I'm saying make any sense? If so, what makes more sense, passing the...
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  • VC++ Call Stack调试

    2019-03-28 11:02:19
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  • 运行Resnet50 出现类似错误,提示Function call stack 一开始没搞懂,以为网络层出现了问题。尝试很多无果。 最后发现是batchsize太大了,导致内存不足。把batchsize调小成功解决问题。
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  • <template> <div>{{_timeFormat(date)}}</div> </template> 报错原因在html中使用了_
  • 今天在做小程序 setData 的时候报了个这个错误 这个的意思就是你【超出最大调用堆栈大小】 是以为在给属性赋值的时候会改变起始对象(也就是对象自身)也就是浅拷贝,栈内存中假设我们a复制了b,b里面的数据对应的...
  • 解决 Maximum call stack size exceeded

    千次阅读 2020-11-11 20:15:53
    超出最大调用堆栈大小 深拷贝 递归复制 遇到循环引用时堆栈会一直增长,直到达到限制
  • vue 项目运行报错:RangeError: Maximum call stack size exceeded ; 意思是 堆栈溢出(内存溢出) 造成这种情况的原因有多个: 代码形成死循环,造成堆栈溢出 (递归) 如果不确定,可以做个输出,也有可能是...
  • ls_callstack like line of lt_callstack, lv_fname type rs38l_fnam. call function 'SYSTEM_CALLSTACK' importing et_callstack = lt_callstack. loop at lt_callstack into ls_callstack. check ls_...
  • 但一直报错:Maximum call stack size exceeded 经过我反复思考原来是 在点击行时去触发行内的复选框,复选框的点击事件冒泡再次触发行点击事件,这样无数次循环就出现异常啦。 解决方法就是阻止复选框冒泡 $('
  • npm install报错Maximum call stack size exceeded解决办法

    万次阅读 多人点赞 2019-11-21 16:41:05
    项目里面执行npm install 时候报错,Maximum call stack size exceeded 2、解决办法 1、给npm升级 查看npm版本 //查看版本 npm -v //更新到最新版本 npm install -g npm 删除nodel module,重新执行...
  • 在Linux中运行的C++程序,如果抛出的异常(exception)未被捕获,则可以用一些方法强行打印出调用栈(callstack),以下仅为示例: #include <exception> #include <iostream> #include <string> ...
  • Maximum call stack size exceeded 百度一圈有人说是路由问题,也有人说是404问题,所以着手试了一下,最终发现是因为npm的问题 解决方法 1.给npm升级 //查看版本 npm -v //更新到最新版本 npm install -g ...
  • 关于 ‘Maximum call stack size exceeded’

    千次阅读 2019-09-12 10:51:59
    一下子一脸懵,就是简单的一个新增用户也能超出最大调用堆栈? 百度了好多, 也问了大佬, 都是说前端递归的问题。 我再好好瞅瞅,我整个页面也没有递归啊 各种看,结果是有某一个的参数忘记赋值了!...
  • 赋值报错Maximum call stack size exceeded 先定义一个变量,通过JSON.stringify序列化返回数据。 然后在JSON.parse转回去进行赋值就可以了 a.then(res => { var data =[] data = JSON.stringify(res) that...
  • [JS] Call stack 调用栈

    2020-04-22 14:57:24
    调用栈: 调用栈与数据结构中的栈类似,它遵循后进先出的规则。调用栈是解释器追踪函数执行流的一种机制,通过这种机制我们能追踪函数的执行情况。 当函数A被调用,将函数A地址放入调用栈 如果A函数里面还调用了B...
  • Maximum call stack size exceeded报错的原因及解决办法背景解决办法Maximum call stack size exceeded报错原因如何解决 背景 在使用ElementUI的Select选择器,其中有一个可搜索的选择器,意思就是用户输入文字,...
  • }) 安卓能正常生成,ios 报错了,错误信息是: column: 46 line: 150 message: "Maximum call stack size exceeded." stack: "fromCodePoint consumeStringSlice consumeStringToken consumeUrlToken read parse ...

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