Multiple explicit constructors and implicit conversion

I have a class like this: class Foo { private: std::string m_data; public: Foo() = default; explicit Foo(double value); explicit Foo(float value); explicit Foo(int64_t value); explicit Foo(bool value); explicit Foo(const std::string& value); explicit Foo(const char* value); }; … because I’d like to be able to construct Foo instances from integers, booleans, floats, doubles, and so… Read More Multiple explicit constructors and implicit conversion

Why adding `explicit` to a defaulted copy constructor prevents returning an object?

Considering this MRE (the real case involves some class with some inheritance and some member variables) class A { public: A() = default; explicit A(const A&) = default; // explicit A(A&) = default; ///Adding this serves no purpose explicit A(A&&) = default; A& operator=(const A&) = default; A& operator=(A&&) = default; }; auto dummy_a() {… Read More Why adding `explicit` to a defaulted copy constructor prevents returning an object?

Why python want us this : Non-default argument follows default argument

class Node(): def __init__(self,value,parrent=None,neigh) -> None: self.val=value self.parrent=parrent self.neigh=neigh Here I want to define a class. There is an error about neigh that non-default argument follows default argument. I saw the solution of this question but my main question is I want to know why python want us to do this? >Solution : Because Python… Read More Why python want us this : Non-default argument follows default argument

Getting 404 Bad Request when using [FromBody] annotation in API method

I’m trying to send some basic POST data between an MVC and a .NET Core API. When I post the data, I get this error: The remote server returned an error: (400) Bad Request My Controller: [HttpPost] [Route ("simple")] public int PostSimple([FromBody] string value) { return 0; } My POST code to this Controller: string… Read More Getting 404 Bad Request when using [FromBody] annotation in API method

Split pandas dataframe column based on the pipeline symbol

I have a pandas data frame which has a single column named Category. I want to split this Category column into 4 separate columns named A, B, C, D based on the pipeline symbol "||" Sample input: df[‘Category’] = Operations||Modification||Bank||Bank Process Sample output: df[‘A’] = Operations df[‘B’] = Modification df[‘C’] = Bank df[‘D’] = Bank… Read More Split pandas dataframe column based on the pipeline symbol