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Original file line number | Diff line number | Diff line change |
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Generators and Coroutines | ||
========================= | ||
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Generators | ||
========== | ||
---------- | ||
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Generators in CPython are implemented with the struct `PyGenObject`. | ||
They consist of a [`frame`](frames.md) and metadata about the generator's | ||
execution state. | ||
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A generator object resumes execution in its frame when its `send()` | ||
method is called. This is analogous to a function executing in its own | ||
fram when it is called, but a function returns to the calling frame only once, | ||
while a generator "returns" execution to the caller's frame every time | ||
it emits a new item with a | ||
[`yield` expression](https://docs.python.org/dev/reference/expressions.html#yield-expressions). | ||
This is implemented by the | ||
[`YIELD_VALUE`](https://docs.python.org/dev/library/dis.html#opcode-YIELD_VALUE) | ||
bytecode, which is similar to | ||
[`RETURN_VALUE`](https://docs.python.org/dev/library/dis.html#opcode-RETURN_VALUE) | ||
in the sense that it puts a value on the stack and returns execution to the | ||
calling frame, but it also needs to perform additional work to leave the generator | ||
frame in a state that allows it to be resumed. In particular, it updates the frame's | ||
instruction pointer and stores the interpreter's exception state on the generator | ||
object. When the generator is resumed, this exception state is copied back to the | ||
interpreter state. | ||
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The `frame` of a generator is embedded in the generator object struct as a | ||
[`_PyInterpreterFrame`](frames.md) (see `_PyGenObject_HEAD` in | ||
[`pycore_genobject.h`](../Include/internal/pycore_genobject.h)). | ||
This means that we can get the frame from the generator or the generator | ||
from the frame (see `_PyGen_GetGeneratorFromFrame` in the same file). | ||
Other fields of the generator struct include metadata (such as the name of | ||
the generator function) and runtime state information (such as whether its | ||
frame is executing, suspended, cleared, etc.). | ||
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Generator Object Creation and Destruction | ||
----------------------------------------- | ||
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The bytecode of a generator function begins with a | ||
[`RETURN_GENERATOR`](https://docs.python.org/dev/library/dis.html#opcode-RETURN_GENERATOR) | ||
instruction, which creates a generator object, including its embedded frame. | ||
The generator's frame is initialized as a copy of the frame in which | ||
`RETURN_GENERATOR` is executing, but its `owner` field is overwritten to indicate | ||
that it is owned by a generator. Finally, `RETURN_GENERATOR` pushes the new generator | ||
object to the stack and returns to the caller of the generator function (at | ||
which time its frame is destroyed). When the generator is next resumed by | ||
[`gen_send_ex2()`](../Objects/genobject.c), `_PyEval_EvalFrame()` is called | ||
to continue executing the generator function, in the frame that is embedded in | ||
the generator object. | ||
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When a generator object is destroyed in [`gen_dealloc`](../Objects/genobject.c), | ||
its embedded `_PyInterpreterFrame` field may need to be preserved, if it is exposed | ||
to Python as part of a [`PyFrameObject`](frames.md#frame-objects). This is detected | ||
in [`_PyFrame_ClearExceptCode`](../Python/frame.c) by the fact that the interpreter | ||
frame's `frame_obj` field is set, and the frame object it points to has refcount | ||
greater than 1. If so, the `take_ownership()` function is called to create a new | ||
copy of the interpreter frame and transfer ownership of it from the generator to | ||
the frame object. | ||
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Iteration | ||
--------- | ||
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The [`FOR_ITER`](https://docs.python.org/dev/library/dis.html#opcode-FOR_ITER) | ||
instruction calls `__next__` on the iterator which is on the top of the stack, | ||
and pushes the result to the stack. It has [`specializations`](adaptive.md) | ||
for a few common iterator types, including `FOR_ITER_GEN`, for iterating over | ||
a generator. `FOR_ITER_GEN` bypasses the call to `__next__`, and instead | ||
directly pushes the generator stack and resumes its execution from the | ||
instruction that follows the last yield. | ||
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Chained Generators | ||
------------------ | ||
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A `yield from` expression creates a generator that efficiently yields the | ||
sequence created by another generator. This is implemented with the | ||
[`SEND` instruction](https://docs.python.org/dev/library/dis.html#opcode-SEND), | ||
which pushes the value of its arg to the stack of the generator's frame, sets | ||
the exception state on this frame, and resumes execution of the chained generator. | ||
On return from `SEND`, the value at the top of the stack is sent back up | ||
the generator chain with a `YIELD_VALUE`. This sequence of `SEND` followed by | ||
`YIELD_VALUE` is repeated in a loop, until a `StopIteration` exception is | ||
raised to indicate that the generator has no more values to emit. | ||
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The [`CLEANUP_THROW`](https://docs.python.org/dev/library/dis.html#opcode-CLEANUP_THROW) | ||
instruction is used to handle exceptions raised from the send-yield loop. | ||
Exceptions of type `StopIteration` is handled, their `value` field hold the | ||
value to be returned by the generator's `close()` function. Any other | ||
exception is re-raised by `CLEANUP_THROW`. | ||
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Coroutines | ||
---------- | ||
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Coming soon. | ||
Coroutines are generators that use the value returned from a `yield` expression, | ||
i.e., the argument that was passed to the `.send()` call that resumed it after | ||
it yielded. This makes it possible for data to flow in both directions: from | ||
the generator to the caller via the argument of the `yield` expression, and | ||
from the caller to the generator via the send argument to the `send()` call. | ||
A `yield from` expression passes the `send` argument to the chained generator, | ||
so this data flow works along the chain (see `gen_send_ex2()` in | ||
[`genobject.c`](../Objects/genobject.c)). | ||
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<!-- | ||
- Generators, async functions, async generators, and ``yield from`` (next, send, throw, close; and await; and how this code breaks the interpreter abstraction) | ||
--> | ||
Recall that a generator's `__next__` function simply calls `self.send(None)`, | ||
so all this works the same in generators and coroutines, but only coroutines | ||
use the value of the argument to `send`. |
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