1, the generator function contains the yield from expression.
2. Suspend the delegate generator at the yield from expression, and the caller can send the data directly to the child generator.
3. The sub-generator sends the output value to the caller.
4. The interpreter throws Stopiteration and attaches the return value to the exception object.
an actual example
# Collaborative code case 1
def simple_coroutine():
print('-> start')
x = yield
print('-> recived', x)
# Main thread
sc = simple_coroutine()
print(1111)
# You can use (None), which has the same effect.
next(sc) # Pre-excitation
print(2222)
('zhuxiao')Content Expansion
generator
In Python, a function that uses yield is called a generator; unlike a normal function, a generator is a function that returns an iterator, which can only be used for iterative operations, or, more simply, an iterator; during a call to a generator, each time it encounters a yield, the function pauses and saves all of the current runtime information, returns the value of the yield, and The next time the next() method is executed, it continues from the current position; calling a generator function returns an iterator object.
Generating Fibonacci series using generators
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