chatbot generator

GeneratorWith a list generation ( [x * x for x in range(10)] for example), we can create a list directly. However, with memory limitations, the list capacity is certainly limited. Also, creating a list of 1 million elements takes up a lot of storage space, and if we just need to access the first few elements, the vast majority of the space behind it is wasted.So, if the list element can be calculated according to an algorithm, can we continue to calculate the subsequent elements in the process o

This article introduces the python iterator and generator in detail. 1. what is an iterator? Let's talk about iteration first. iteration is a process that repeats many times, for example, for loop. The for loop can iterate on all objects with iter methods. what is the iter method? Whether an object can be iterated depends on whether the object has an iter method. when the object's iter method is called, an iterator is returned. this iterator must hav

The generator function is the first available feature in python2.2. It is built in Version 2.3 to support this feature, and yield becomes a keyword, the generator is enhanced in later versions (for example, exception handling is added ). Similar features (iterators) are introduced in C #2.0, which have many similarities. This article discusses ironpython 2.0 beta3. Any function that contains the yield exp

: >>> [x * x for x in range(1, 11) if x % 2 == 0][4, 16, 36, 64, 100] 小结:The use of list generation, can be generated quickly list , can be deduced from one list another list , and the code is very concise. 2. Generator ???? With list generation, we can create a list directly. However, with memory limitations, the list capacity is certainly limited. Also, creating a list of 1 million elements takes up a lot of storage space, and

A taskstack generator stack is used in the following code to implement the synchronous writing of the asynchronous method Swoole_timer_after, and the invocation of the child generator is implemented incidentally; as long as there is an asynchronous operation with the callback method, Can be used to implement the synchronous writing of asynchronous operation; Class Taskstack {public $stack; Public $

Yield and pythonyield of python Generator For details, refer to [Python yield Usage Analysis] and [differences between Python xrange and range ]. A function with yield is a generator, which is different from a common function. Generating a generator looks like a function call, but does not execute any function code until it calls next () (next () is automaticall

This note records your understanding of Python's generator functions and yield expressions.1. Generator FunctionsThe generator functions syntax supported by Python allows us to define a function that behaves like a iterator, which can be used in situations where a loop call is required. Compared to the normal function, genera