renumbering chapters >= 19
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Sample code for Chapter 16 - "Coroutines"
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From the book "Fluent Python" by Luciano Ramalho (O'Reilly, 2015)
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http://shop.oreilly.com/product/0636920032519.do
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"""
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Coroutine closing demonstration::
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# tag::DEMO_CORO_EXC_1[]
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>>> exc_coro = demo_exc_handling()
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>>> next(exc_coro)
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-> coroutine started
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>>> exc_coro.send(11)
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-> coroutine received: 11
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>>> exc_coro.send(22)
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-> coroutine received: 22
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>>> exc_coro.close()
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>>> from inspect import getgeneratorstate
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>>> getgeneratorstate(exc_coro)
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'GEN_CLOSED'
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# end::DEMO_CORO_EXC_1[]
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Coroutine handling exception::
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# tag::DEMO_CORO_EXC_2[]
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>>> exc_coro = demo_exc_handling()
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>>> next(exc_coro)
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-> coroutine started
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>>> exc_coro.send(11)
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-> coroutine received: 11
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>>> exc_coro.throw(DemoException)
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*** DemoException handled. Continuing...
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>>> getgeneratorstate(exc_coro)
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'GEN_SUSPENDED'
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# end::DEMO_CORO_EXC_2[]
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Coroutine not handling exception::
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# tag::DEMO_CORO_EXC_3[]
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>>> exc_coro = demo_exc_handling()
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>>> next(exc_coro)
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-> coroutine started
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>>> exc_coro.send(11)
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-> coroutine received: 11
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>>> exc_coro.throw(ZeroDivisionError)
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Traceback (most recent call last):
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...
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ZeroDivisionError
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>>> getgeneratorstate(exc_coro)
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'GEN_CLOSED'
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# end::DEMO_CORO_EXC_3[]
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"""
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# tag::EX_CORO_EXC[]
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class DemoException(Exception):
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"""An exception type for the demonstration."""
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def demo_exc_handling():
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print('-> coroutine started')
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while True:
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try:
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x = yield
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except DemoException: # <1>
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print('*** DemoException handled. Continuing...')
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else: # <2>
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print(f'-> coroutine received: {x!r}')
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raise RuntimeError('This line should never run.') # <3>
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# end::EX_CORO_EXC[]
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"""
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Second coroutine closing demonstration::
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>>> fin_coro = demo_finally()
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>>> next(fin_coro)
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-> coroutine started
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>>> fin_coro.send(11)
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-> coroutine received: 11
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>>> fin_coro.send(22)
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-> coroutine received: 22
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>>> fin_coro.close()
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-> coroutine ending
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Second coroutine not handling exception::
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>>> fin_coro = demo_finally()
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>>> next(fin_coro)
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-> coroutine started
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>>> fin_coro.send(11)
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-> coroutine received: 11
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>>> fin_coro.throw(ZeroDivisionError) # doctest: +SKIP
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-> coroutine ending
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Traceback (most recent call last):
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File "<stdin>", line 1, in <module>
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File "coro_exception_demos.py", line 109, in demo_finally
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print(f'-> coroutine received: {x!r}')
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ZeroDivisionError
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The last test above must be skipped because the output '-> coroutine ending'
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is not detected by doctest, which raises a false error. However, if you
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run this file as shown below, you'll see that output "leak" into standard
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output::
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$ python3 -m doctest coro_exception_demo.py
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-> coroutine ending
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"""
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# tag::EX_CORO_FINALLY[]
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class DemoException(Exception):
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"""An exception type for the demonstration."""
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def demo_finally():
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print('-> coroutine started')
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try:
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while True:
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try:
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x = yield
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except DemoException:
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print('*** DemoException handled. Continuing...')
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else:
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print(f'-> coroutine received: {x!r}')
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finally:
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print('-> coroutine ending')
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# end::EX_CORO_FINALLY[]
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"""
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A coroutine to compute a running average
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# tag::CORO_AVERAGER_TEST[]
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>>> coro_avg = averager() # <1>
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>>> next(coro_avg) # <2>
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>>> coro_avg.send(10) # <3>
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10.0
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>>> coro_avg.send(30)
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20.0
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>>> coro_avg.send(5)
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15.0
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# end::CORO_AVERAGER_TEST[]
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"""
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# tag::CORO_AVERAGER[]
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def averager():
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total = 0.0
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count = 0
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average = None
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while True: # <1>
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term = yield average # <2>
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total += term
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count += 1
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average = total/count
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# end::CORO_AVERAGER[]
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# tag::DECORATED_AVERAGER[]
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"""
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A coroutine to compute a running average
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>>> coro_avg = averager() # <1>
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>>> from inspect import getgeneratorstate
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>>> getgeneratorstate(coro_avg) # <2>
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'GEN_SUSPENDED'
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>>> coro_avg.send(10) # <3>
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10.0
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>>> coro_avg.send(30)
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20.0
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>>> coro_avg.send(5)
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15.0
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"""
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from coroutil import coroutine # <4>
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@coroutine # <5>
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def averager(): # <6>
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total = 0.0
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count = 0
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average = None
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while True:
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term = yield average
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total += term
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count += 1
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average = total/count
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# end::DECORATED_AVERAGER[]
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"""
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A coroutine to compute a running average.
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Testing ``averager`` by itself::
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# tag::RETURNING_AVERAGER_DEMO1[]
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>>> coro_avg = averager()
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>>> next(coro_avg)
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>>> coro_avg.send(10) # <1>
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>>> coro_avg.send(30)
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>>> coro_avg.send(6.5)
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>>> coro_avg.send(None) # <2>
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Traceback (most recent call last):
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...
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StopIteration: Result(count=3, average=15.5)
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# end::RETURNING_AVERAGER_DEMO1[]
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Catching `StopIteration` to extract the value returned by
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the coroutine::
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# tag::RETURNING_AVERAGER_DEMO2[]
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>>> coro_avg = averager()
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>>> next(coro_avg)
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>>> coro_avg.send(10)
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>>> coro_avg.send(30)
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>>> coro_avg.send(6.5)
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>>> try:
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... coro_avg.send(None)
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... except StopIteration as exc:
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... result = exc.value
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...
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>>> result
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Result(count=3, average=15.5)
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# end::RETURNING_AVERAGER_DEMO2[]
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"""
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# tag::RETURNING_AVERAGER[]
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from collections import namedtuple
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Result = namedtuple('Result', 'count average')
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def averager():
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total = 0.0
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count = 0
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average = None
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while True:
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term = yield
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if term is None:
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break # <1>
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total += term
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count += 1
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average = total/count
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return Result(count, average) # <2>
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# end::RETURNING_AVERAGER[]
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"""
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A coroutine to compute a running average.
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Testing ``averager`` by itself::
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>>> coro_avg = averager()
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>>> next(coro_avg)
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>>> coro_avg.send(10)
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>>> coro_avg.send(30)
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>>> coro_avg.send(6.5)
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>>> coro_avg.send(None)
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Traceback (most recent call last):
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...
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StopIteration: Result(count=3, average=15.5)
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Driving it with ``yield from``::
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>>> def summarize(results):
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... while True:
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... result = yield from averager()
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... results.append(result)
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...
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>>> results = []
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>>> summary = summarize(results)
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>>> next(summary)
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>>> for height in data['girls;m']:
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... summary.send(height)
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...
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>>> summary.send(None)
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>>> for height in data['boys;m']:
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... summary.send(height)
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...
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>>> summary.send(None)
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>>> results == [
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... Result(count=10, average=1.4279999999999997),
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... Result(count=9, average=1.3888888888888888)
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... ]
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True
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"""
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# tag::YIELD_FROM_AVERAGER[]
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from collections import namedtuple
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Result = namedtuple('Result', 'count average')
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# the subgenerator
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def averager(): # <1>
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total = 0.0
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count = 0
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average = None
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while True:
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term = yield # <2>
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if term is None: # <3>
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break
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total += term
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count += 1
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average = total/count
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return Result(count, average) # <4>
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# the delegating generator
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def grouper(results, key): # <5>
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while True: # <6>
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results[key] = yield from averager() # <7>
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# the client code, a.k.a. the caller
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def main(data): # <8>
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results = {}
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for key, values in data.items():
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group = grouper(results, key) # <9>
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next(group) # <10>
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for value in values:
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group.send(value) # <11>
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group.send(None) # important! <12>
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# print(results) # uncomment to debug
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report(results)
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# output report
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def report(results):
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for key, result in sorted(results.items()):
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group, unit = key.split(';')
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print(f'{result.count:2} {group:5}',
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f'averaging {result.average:.2f}{unit}')
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data = {
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'girls;kg':
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[40.9, 38.5, 44.3, 42.2, 45.2, 41.7, 44.5, 38.0, 40.6, 44.5],
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'girls;m':
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[1.6, 1.51, 1.4, 1.3, 1.41, 1.39, 1.33, 1.46, 1.45, 1.43],
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'boys;kg':
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[39.0, 40.8, 43.2, 40.8, 43.1, 38.6, 41.4, 40.6, 36.3],
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'boys;m':
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[1.38, 1.5, 1.32, 1.25, 1.37, 1.48, 1.25, 1.49, 1.46],
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}
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if __name__ == '__main__':
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main(data)
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# end::YIELD_FROM_AVERAGER[]
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# tag::CORO_DECO[]
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from functools import wraps
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def coroutine(func):
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"""Decorator: primes `func` by advancing to first `yield`"""
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@wraps(func)
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def primer(*args, **kwargs): # <1>
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gen = func(*args, **kwargs) # <2>
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next(gen) # <3>
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return gen # <4>
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return primer
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# end::CORO_DECO[]
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"""
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Taxi simulator
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==============
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Driving a taxi from the console::
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>>> from taxi_sim import taxi_process
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>>> taxi = taxi_process(ident=13, trips=2, start_time=0)
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>>> next(taxi)
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Event(time=0, proc=13, action='leave garage')
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>>> taxi.send(_.time + 7)
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Event(time=7, proc=13, action='pick up passenger')
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>>> taxi.send(_.time + 23)
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Event(time=30, proc=13, action='drop off passenger')
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>>> taxi.send(_.time + 5)
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Event(time=35, proc=13, action='pick up passenger')
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>>> taxi.send(_.time + 48)
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Event(time=83, proc=13, action='drop off passenger')
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>>> taxi.send(_.time + 1)
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Event(time=84, proc=13, action='going home')
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>>> taxi.send(_.time + 10)
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Traceback (most recent call last):
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File "<stdin>", line 1, in <module>
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StopIteration
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Sample run with two cars, random seed 10. This is a valid doctest::
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>>> main(num_taxis=2, seed=10)
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taxi: 0 Event(time=0, proc=0, action='leave garage')
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taxi: 0 Event(time=5, proc=0, action='pick up passenger')
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taxi: 1 Event(time=5, proc=1, action='leave garage')
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taxi: 1 Event(time=10, proc=1, action='pick up passenger')
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taxi: 1 Event(time=15, proc=1, action='drop off passenger')
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taxi: 0 Event(time=17, proc=0, action='drop off passenger')
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taxi: 1 Event(time=24, proc=1, action='pick up passenger')
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taxi: 0 Event(time=26, proc=0, action='pick up passenger')
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taxi: 0 Event(time=30, proc=0, action='drop off passenger')
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taxi: 0 Event(time=34, proc=0, action='going home')
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taxi: 1 Event(time=46, proc=1, action='drop off passenger')
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taxi: 1 Event(time=48, proc=1, action='pick up passenger')
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taxi: 1 Event(time=110, proc=1, action='drop off passenger')
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taxi: 1 Event(time=139, proc=1, action='pick up passenger')
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taxi: 1 Event(time=140, proc=1, action='drop off passenger')
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taxi: 1 Event(time=150, proc=1, action='going home')
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*** end of events ***
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See longer sample run at the end of this module.
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"""
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import argparse
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import collections
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import random
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import queue
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DEFAULT_NUMBER_OF_TAXIS = 3
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DEFAULT_END_TIME = 180
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SEARCH_DURATION = 5
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TRIP_DURATION = 20
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DEPARTURE_INTERVAL = 5
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Event = collections.namedtuple('Event', 'time proc action')
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# tag::TAXI_PROCESS[]
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def taxi_process(ident, trips, start_time=0): # <1>
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"""Yield to simulator issuing event at each state change"""
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time = yield Event(start_time, ident, 'leave garage') # <2>
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for i in range(trips): # <3>
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time = yield Event(time, ident, 'pick up passenger') # <4>
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time = yield Event(time, ident, 'drop off passenger') # <5>
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yield Event(time, ident, 'going home') # <6>
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# end of taxi process # <7>
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# end::TAXI_PROCESS[]
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# tag::TAXI_SIMULATOR[]
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class Simulator:
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def __init__(self, procs_map):
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self.events = queue.PriorityQueue()
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self.procs = dict(procs_map)
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def run(self, end_time): # <1>
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"""Schedule and display events until time is up"""
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# schedule the first event for each cab
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for _, proc in sorted(self.procs.items()): # <2>
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first_event = next(proc) # <3>
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self.events.put(first_event) # <4>
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# main loop of the simulation
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sim_time = 0 # <5>
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while sim_time < end_time: # <6>
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if self.events.empty(): # <7>
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print('*** end of events ***')
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break
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current_event = self.events.get() # <8>
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sim_time, proc_id, previous_action = current_event # <9>
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print('taxi:', proc_id, proc_id * ' ', current_event) # <10>
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active_proc = self.procs[proc_id] # <11>
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next_time = sim_time + compute_duration(previous_action) # <12>
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try:
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next_event = active_proc.send(next_time) # <13>
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except StopIteration:
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del self.procs[proc_id] # <14>
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else:
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self.events.put(next_event) # <15>
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else: # <16>
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msg = '*** end of simulation time: {} events pending ***'
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print(msg.format(self.events.qsize()))
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# end::TAXI_SIMULATOR[]
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def compute_duration(previous_action):
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"""Compute action duration using exponential distribution"""
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if previous_action in ['leave garage', 'drop off passenger']:
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# new state is prowling
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interval = SEARCH_DURATION
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elif previous_action == 'pick up passenger':
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# new state is trip
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interval = TRIP_DURATION
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elif previous_action == 'going home':
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interval = 1
|
||||
else:
|
||||
raise ValueError(f'Unknown previous_action: {previous_action}')
|
||||
return int(random.expovariate(1 / interval)) + 1
|
||||
|
||||
|
||||
def main(end_time=DEFAULT_END_TIME, num_taxis=DEFAULT_NUMBER_OF_TAXIS,
|
||||
seed=None):
|
||||
"""Initialize random generator, build procs and run simulation"""
|
||||
if seed is not None:
|
||||
random.seed(seed) # get reproducible results
|
||||
|
||||
taxis = {i: taxi_process(i, (i + 1) * 2, i * DEPARTURE_INTERVAL)
|
||||
for i in range(num_taxis)}
|
||||
sim = Simulator(taxis)
|
||||
sim.run(end_time)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
|
||||
parser = argparse.ArgumentParser(
|
||||
description='Taxi fleet simulator.')
|
||||
parser.add_argument('-e', '--end-time', type=int,
|
||||
default=DEFAULT_END_TIME,
|
||||
help='simulation end time; default = %s'
|
||||
% DEFAULT_END_TIME)
|
||||
parser.add_argument('-t', '--taxis', type=int,
|
||||
default=DEFAULT_NUMBER_OF_TAXIS,
|
||||
help='number of taxis running; default = %s'
|
||||
% DEFAULT_NUMBER_OF_TAXIS)
|
||||
parser.add_argument('-s', '--seed', type=int, default=None,
|
||||
help='random generator seed (for testing)')
|
||||
|
||||
args = parser.parse_args()
|
||||
main(args.end_time, args.taxis, args.seed)
|
||||
|
||||
|
||||
"""
|
||||
|
||||
Sample run from the command line, seed=3, maximum elapsed time=120::
|
||||
|
||||
# tag::TAXI_SAMPLE_RUN[]
|
||||
$ python3 taxi_sim.py -s 3 -e 120
|
||||
taxi: 0 Event(time=0, proc=0, action='leave garage')
|
||||
taxi: 0 Event(time=2, proc=0, action='pick up passenger')
|
||||
taxi: 1 Event(time=5, proc=1, action='leave garage')
|
||||
taxi: 1 Event(time=8, proc=1, action='pick up passenger')
|
||||
taxi: 2 Event(time=10, proc=2, action='leave garage')
|
||||
taxi: 2 Event(time=15, proc=2, action='pick up passenger')
|
||||
taxi: 2 Event(time=17, proc=2, action='drop off passenger')
|
||||
taxi: 0 Event(time=18, proc=0, action='drop off passenger')
|
||||
taxi: 2 Event(time=18, proc=2, action='pick up passenger')
|
||||
taxi: 2 Event(time=25, proc=2, action='drop off passenger')
|
||||
taxi: 1 Event(time=27, proc=1, action='drop off passenger')
|
||||
taxi: 2 Event(time=27, proc=2, action='pick up passenger')
|
||||
taxi: 0 Event(time=28, proc=0, action='pick up passenger')
|
||||
taxi: 2 Event(time=40, proc=2, action='drop off passenger')
|
||||
taxi: 2 Event(time=44, proc=2, action='pick up passenger')
|
||||
taxi: 1 Event(time=55, proc=1, action='pick up passenger')
|
||||
taxi: 1 Event(time=59, proc=1, action='drop off passenger')
|
||||
taxi: 0 Event(time=65, proc=0, action='drop off passenger')
|
||||
taxi: 1 Event(time=65, proc=1, action='pick up passenger')
|
||||
taxi: 2 Event(time=65, proc=2, action='drop off passenger')
|
||||
taxi: 2 Event(time=72, proc=2, action='pick up passenger')
|
||||
taxi: 0 Event(time=76, proc=0, action='going home')
|
||||
taxi: 1 Event(time=80, proc=1, action='drop off passenger')
|
||||
taxi: 1 Event(time=88, proc=1, action='pick up passenger')
|
||||
taxi: 2 Event(time=95, proc=2, action='drop off passenger')
|
||||
taxi: 2 Event(time=97, proc=2, action='pick up passenger')
|
||||
taxi: 2 Event(time=98, proc=2, action='drop off passenger')
|
||||
taxi: 1 Event(time=106, proc=1, action='drop off passenger')
|
||||
taxi: 2 Event(time=109, proc=2, action='going home')
|
||||
taxi: 1 Event(time=110, proc=1, action='going home')
|
||||
*** end of events ***
|
||||
# end::TAXI_SAMPLE_RUN[]
|
||||
|
||||
"""
|
@ -1,255 +0,0 @@
|
||||
|
||||
"""
|
||||
Taxi simulator
|
||||
|
||||
Sample run with two cars, random seed 10. This is a valid doctest.
|
||||
|
||||
>>> main(num_taxis=2, seed=10)
|
||||
taxi: 0 Event(time=0, proc=0, action='leave garage')
|
||||
taxi: 0 Event(time=4, proc=0, action='pick up passenger')
|
||||
taxi: 1 Event(time=5, proc=1, action='leave garage')
|
||||
taxi: 1 Event(time=9, proc=1, action='pick up passenger')
|
||||
taxi: 0 Event(time=10, proc=0, action='drop off passenger')
|
||||
taxi: 1 Event(time=12, proc=1, action='drop off passenger')
|
||||
taxi: 0 Event(time=17, proc=0, action='pick up passenger')
|
||||
taxi: 1 Event(time=19, proc=1, action='pick up passenger')
|
||||
taxi: 1 Event(time=21, proc=1, action='drop off passenger')
|
||||
taxi: 1 Event(time=24, proc=1, action='pick up passenger')
|
||||
taxi: 0 Event(time=28, proc=0, action='drop off passenger')
|
||||
taxi: 1 Event(time=28, proc=1, action='drop off passenger')
|
||||
taxi: 0 Event(time=29, proc=0, action='going home')
|
||||
taxi: 1 Event(time=30, proc=1, action='pick up passenger')
|
||||
taxi: 1 Event(time=61, proc=1, action='drop off passenger')
|
||||
taxi: 1 Event(time=62, proc=1, action='going home')
|
||||
*** end of events ***
|
||||
|
||||
See explanation and longer sample run at the end of this module.
|
||||
|
||||
"""
|
||||
|
||||
import argparse
|
||||
import collections
|
||||
import queue
|
||||
import random
|
||||
|
||||
DEFAULT_NUMBER_OF_TAXIS = 3
|
||||
DEFAULT_END_TIME = 80
|
||||
SEARCH_DURATION = 4
|
||||
TRIP_DURATION = 10
|
||||
DEPARTURE_INTERVAL = 5
|
||||
|
||||
Event = collections.namedtuple('Event', 'time proc action')
|
||||
|
||||
|
||||
def compute_delay(interval):
|
||||
"""Compute action delay using exponential distribution"""
|
||||
return int(random.expovariate(1 / interval)) + 1
|
||||
|
||||
# BEGIN TAXI_PROCESS
|
||||
def taxi_process(ident, trips, start_time=0): # <1>
|
||||
"""Yield to simulator issuing event at each state change"""
|
||||
time = yield Event(start_time, ident, 'leave garage') # <2>
|
||||
for i in range(trips): # <3>
|
||||
prowling_ends = time + compute_delay(SEARCH_DURATION) # <4>
|
||||
time = yield Event(prowling_ends, ident, 'pick up passenger') # <5>
|
||||
|
||||
trip_ends = time + compute_delay(TRIP_DURATION) # <6>
|
||||
time = yield Event(trip_ends, ident, 'drop off passenger') # <7>
|
||||
|
||||
yield Event(time + 1, ident, 'going home') # <8>
|
||||
# end of taxi process # <9>
|
||||
# END TAXI_PROCESS
|
||||
|
||||
# BEGIN TAXI_SIMULATOR
|
||||
class Simulator:
|
||||
|
||||
def __init__(self, procs_map):
|
||||
self.events = queue.PriorityQueue()
|
||||
self.procs = dict(procs_map)
|
||||
|
||||
def run(self, end_time): # <1>
|
||||
"""Schedule and display events until time is up"""
|
||||
# schedule the first event for each cab
|
||||
for _, proc in sorted(self.procs.items()): # <2>
|
||||
first_event = next(proc) # <3>
|
||||
self.events.put(first_event) # <4>
|
||||
|
||||
# main loop of the simulation
|
||||
time = 0
|
||||
while time < end_time: # <5>
|
||||
if self.events.empty(): # <6>
|
||||
print('*** end of events ***')
|
||||
break
|
||||
|
||||
# get and display current event
|
||||
current_event = self.events.get() # <7>
|
||||
print('taxi:', current_event.proc, # <8>
|
||||
current_event.proc * ' ', current_event)
|
||||
|
||||
# schedule next action for current proc
|
||||
time = current_event.time # <9>
|
||||
proc = self.procs[current_event.proc] # <10>
|
||||
try:
|
||||
next_event = proc.send(time) # <11>
|
||||
except StopIteration:
|
||||
del self.procs[current_event.proc] # <12>
|
||||
else:
|
||||
self.events.put(next_event) # <13>
|
||||
else: # <14>
|
||||
msg = '*** end of simulation time: {} events pending ***'
|
||||
print(msg.format(self.events.qsize()))
|
||||
# END TAXI_SIMULATOR
|
||||
|
||||
def main(end_time=DEFAULT_END_TIME, num_taxis=DEFAULT_NUMBER_OF_TAXIS,
|
||||
seed=None):
|
||||
"""Initialize random generator, build procs and run simulation"""
|
||||
if seed is not None:
|
||||
random.seed(seed) # get reproducible results
|
||||
|
||||
taxis = {i: taxi_process(i, (i + 1) * 2, i * DEPARTURE_INTERVAL)
|
||||
for i in range(num_taxis)}
|
||||
sim = Simulator(taxis)
|
||||
sim.run(end_time)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
|
||||
parser = argparse.ArgumentParser(
|
||||
description='Taxi fleet simulator.')
|
||||
parser.add_argument('-e', '--end-time', type=int,
|
||||
default=DEFAULT_END_TIME,
|
||||
help='simulation end time; default = %s'
|
||||
% DEFAULT_END_TIME)
|
||||
parser.add_argument('-t', '--taxis', type=int,
|
||||
default=DEFAULT_NUMBER_OF_TAXIS,
|
||||
help='number of taxis running; default = %s'
|
||||
% DEFAULT_NUMBER_OF_TAXIS)
|
||||
parser.add_argument('-s', '--seed', type=int, default=None,
|
||||
help='random generator seed (for testing)')
|
||||
|
||||
args = parser.parse_args()
|
||||
main(args.end_time, args.taxis, args.seed)
|
||||
|
||||
|
||||
"""
|
||||
Notes for the ``taxi_process`` coroutine::
|
||||
|
||||
<1> `taxi_process` will be called once per taxi, creating a generator
|
||||
object to represent its operations. `ident` is the number of the taxi
|
||||
(eg. 0, 1, 2 in the sample run); `trips` is the number of trips this
|
||||
taxi will make before going home; `start_time` is when the taxi
|
||||
leaves the garage.
|
||||
|
||||
<2> The first `Event` yielded is `'leave garage'`. This suspends the
|
||||
coroutine, and lets the simulation main loop proceed to the next
|
||||
scheduled event. When it's time to reactivate this process, the main
|
||||
loop will `send` the current simulation time, which is assigned to
|
||||
`time`.
|
||||
|
||||
<3> This block will be repeated once for each trip.
|
||||
|
||||
<4> The ending time of the search for a passenger is computed.
|
||||
|
||||
<5> An `Event` signaling passenger pick up is yielded. The coroutine
|
||||
pauses here. When the time comes to reactivate this coroutine,
|
||||
the main loop will again `send` the current time.
|
||||
|
||||
<6> The ending time of the trip is computed, taking into account the
|
||||
current `time`.
|
||||
|
||||
<7> An `Event` signaling passenger drop off is yielded. Coroutine
|
||||
suspended again, waiting for the main loop to send the time of when
|
||||
it's time to continue.
|
||||
|
||||
<8> The `for` loop ends after the given number of trips, and a final
|
||||
`'going home'` event is yielded, to happen 1 minute after the current
|
||||
time. The coroutine will suspend for the last time. When reactivated,
|
||||
it will be sent the time from the simulation main loop, but here I
|
||||
don't assign it to any variable because it will not be useful.
|
||||
|
||||
<9> When the coroutine falls off the end, the coroutine object raises
|
||||
`StopIteration`.
|
||||
|
||||
|
||||
Notes for the ``Simulator.run`` method::
|
||||
|
||||
<1> The simulation `end_time` is the only required argument for `run`.
|
||||
|
||||
<2> Use `sorted` to retrieve the `self.procs` items ordered by the
|
||||
integer key; we don't care about the key, so assign it to `_`.
|
||||
|
||||
<3> `next(proc)` primes each coroutine by advancing it to the first
|
||||
yield, so it's ready to be sent data. An `Event` is yielded.
|
||||
|
||||
<4> Add each event to the `self.events` `PriorityQueue`. The first
|
||||
event for each taxi is `'leave garage'`, as seen in the sample run
|
||||
(ex_taxi_process>>).
|
||||
|
||||
<5> Main loop of the simulation: run until the current `time` equals
|
||||
or exceeds the `end_time`.
|
||||
|
||||
<6> The main loop may also exit if there are no pending events in the
|
||||
queue.
|
||||
|
||||
<7> Get `Event` with the smallest `time` in the queue; this is the
|
||||
`current_event`.
|
||||
|
||||
<8> Display the `Event`, identifying the taxi and adding indentation
|
||||
according to the taxi id.
|
||||
|
||||
<9> Update the simulation time with the time of the `current_event`.
|
||||
|
||||
<10> Retrieve the coroutine for this taxi from the `self.procs`
|
||||
dictionary.
|
||||
|
||||
<11> Send the `time` to the coroutine. The coroutine will yield the
|
||||
`next_event` or raise `StopIteration` it's finished.
|
||||
|
||||
<12> If `StopIteration` was raised, delete the coroutine from the
|
||||
`self.procs` dictionary.
|
||||
|
||||
<13> Otherwise, put the `next_event` in the queue.
|
||||
|
||||
<14> If the loop exits because the simulation time passed, display the
|
||||
number of events pending (which may be zero by coincidence,
|
||||
sometimes).
|
||||
|
||||
|
||||
Sample run from the command line, seed=24, total elapsed time=160::
|
||||
|
||||
# BEGIN TAXI_SAMPLE_RUN
|
||||
$ python3 taxi_sim.py -s 24 -e 160
|
||||
taxi: 0 Event(time=0, proc=0, action='leave garage')
|
||||
taxi: 0 Event(time=5, proc=0, action='pick up passenger')
|
||||
taxi: 1 Event(time=5, proc=1, action='leave garage')
|
||||
taxi: 1 Event(time=6, proc=1, action='pick up passenger')
|
||||
taxi: 2 Event(time=10, proc=2, action='leave garage')
|
||||
taxi: 2 Event(time=11, proc=2, action='pick up passenger')
|
||||
taxi: 2 Event(time=23, proc=2, action='drop off passenger')
|
||||
taxi: 0 Event(time=24, proc=0, action='drop off passenger')
|
||||
taxi: 2 Event(time=24, proc=2, action='pick up passenger')
|
||||
taxi: 2 Event(time=26, proc=2, action='drop off passenger')
|
||||
taxi: 0 Event(time=30, proc=0, action='pick up passenger')
|
||||
taxi: 2 Event(time=31, proc=2, action='pick up passenger')
|
||||
taxi: 0 Event(time=43, proc=0, action='drop off passenger')
|
||||
taxi: 0 Event(time=44, proc=0, action='going home')
|
||||
taxi: 2 Event(time=46, proc=2, action='drop off passenger')
|
||||
taxi: 2 Event(time=49, proc=2, action='pick up passenger')
|
||||
taxi: 1 Event(time=70, proc=1, action='drop off passenger')
|
||||
taxi: 2 Event(time=70, proc=2, action='drop off passenger')
|
||||
taxi: 2 Event(time=71, proc=2, action='pick up passenger')
|
||||
taxi: 2 Event(time=79, proc=2, action='drop off passenger')
|
||||
taxi: 1 Event(time=88, proc=1, action='pick up passenger')
|
||||
taxi: 2 Event(time=92, proc=2, action='pick up passenger')
|
||||
taxi: 2 Event(time=98, proc=2, action='drop off passenger')
|
||||
taxi: 2 Event(time=99, proc=2, action='going home')
|
||||
taxi: 1 Event(time=102, proc=1, action='drop off passenger')
|
||||
taxi: 1 Event(time=104, proc=1, action='pick up passenger')
|
||||
taxi: 1 Event(time=135, proc=1, action='drop off passenger')
|
||||
taxi: 1 Event(time=136, proc=1, action='pick up passenger')
|
||||
taxi: 1 Event(time=151, proc=1, action='drop off passenger')
|
||||
taxi: 1 Event(time=152, proc=1, action='going home')
|
||||
*** end of events ***
|
||||
# END TAXI_SAMPLE_RUN
|
||||
|
||||
"""
|
@ -1,215 +0,0 @@
|
||||
|
||||
"""
|
||||
Taxi simulator with delay on output
|
||||
===================================
|
||||
|
||||
This is a variation of ``taxi_sim.py`` which adds a ``-d`` comand-line
|
||||
option. When given, that option adds a delay in the main loop, pausing
|
||||
the simulation for .5s for each "minute" of simulation time.
|
||||
|
||||
|
||||
Driving a taxi from the console::
|
||||
|
||||
>>> from taxi_sim import taxi_process
|
||||
>>> taxi = taxi_process(ident=13, trips=2, start_time=0)
|
||||
>>> next(taxi)
|
||||
Event(time=0, proc=13, action='leave garage')
|
||||
>>> taxi.send(_.time + 7)
|
||||
Event(time=7, proc=13, action='pick up passenger')
|
||||
>>> taxi.send(_.time + 23)
|
||||
Event(time=30, proc=13, action='drop off passenger')
|
||||
>>> taxi.send(_.time + 5)
|
||||
Event(time=35, proc=13, action='pick up passenger')
|
||||
>>> taxi.send(_.time + 48)
|
||||
Event(time=83, proc=13, action='drop off passenger')
|
||||
>>> taxi.send(_.time + 1)
|
||||
Event(time=84, proc=13, action='going home')
|
||||
>>> taxi.send(_.time + 10)
|
||||
Traceback (most recent call last):
|
||||
File "<stdin>", line 1, in <module>
|
||||
StopIteration
|
||||
|
||||
Sample run with two cars, random seed 10. This is a valid doctest::
|
||||
|
||||
>>> main(num_taxis=2, seed=10)
|
||||
taxi: 0 Event(time=0, proc=0, action='leave garage')
|
||||
taxi: 0 Event(time=5, proc=0, action='pick up passenger')
|
||||
taxi: 1 Event(time=5, proc=1, action='leave garage')
|
||||
taxi: 1 Event(time=10, proc=1, action='pick up passenger')
|
||||
taxi: 1 Event(time=15, proc=1, action='drop off passenger')
|
||||
taxi: 0 Event(time=17, proc=0, action='drop off passenger')
|
||||
taxi: 1 Event(time=24, proc=1, action='pick up passenger')
|
||||
taxi: 0 Event(time=26, proc=0, action='pick up passenger')
|
||||
taxi: 0 Event(time=30, proc=0, action='drop off passenger')
|
||||
taxi: 0 Event(time=34, proc=0, action='going home')
|
||||
taxi: 1 Event(time=46, proc=1, action='drop off passenger')
|
||||
taxi: 1 Event(time=48, proc=1, action='pick up passenger')
|
||||
taxi: 1 Event(time=110, proc=1, action='drop off passenger')
|
||||
taxi: 1 Event(time=139, proc=1, action='pick up passenger')
|
||||
taxi: 1 Event(time=140, proc=1, action='drop off passenger')
|
||||
taxi: 1 Event(time=150, proc=1, action='going home')
|
||||
*** end of events ***
|
||||
|
||||
See longer sample run at the end of this module.
|
||||
|
||||
"""
|
||||
|
||||
import random
|
||||
import collections
|
||||
import queue
|
||||
import argparse
|
||||
import time
|
||||
|
||||
DEFAULT_NUMBER_OF_TAXIS = 3
|
||||
DEFAULT_END_TIME = 180
|
||||
SEARCH_DURATION = 5
|
||||
TRIP_DURATION = 20
|
||||
DEPARTURE_INTERVAL = 5
|
||||
|
||||
Event = collections.namedtuple('Event', 'time proc action')
|
||||
|
||||
|
||||
# BEGIN TAXI_PROCESS
|
||||
def taxi_process(ident, trips, start_time=0): # <1>
|
||||
"""Yield to simulator issuing event at each state change"""
|
||||
time = yield Event(start_time, ident, 'leave garage') # <2>
|
||||
for i in range(trips): # <3>
|
||||
time = yield Event(time, ident, 'pick up passenger') # <4>
|
||||
time = yield Event(time, ident, 'drop off passenger') # <5>
|
||||
|
||||
yield Event(time, ident, 'going home') # <6>
|
||||
# end of taxi process # <7>
|
||||
# END TAXI_PROCESS
|
||||
|
||||
|
||||
# BEGIN TAXI_SIMULATOR
|
||||
class Simulator:
|
||||
|
||||
def __init__(self, procs_map):
|
||||
self.events = queue.PriorityQueue()
|
||||
self.procs = dict(procs_map)
|
||||
|
||||
def run(self, end_time, delay=False): # <1>
|
||||
"""Schedule and display events until time is up"""
|
||||
# schedule the first event for each cab
|
||||
for _, proc in sorted(self.procs.items()): # <2>
|
||||
first_event = next(proc) # <3>
|
||||
self.events.put(first_event) # <4>
|
||||
|
||||
# main loop of the simulation
|
||||
sim_time = 0 # <5>
|
||||
while sim_time < end_time: # <6>
|
||||
if self.events.empty(): # <7>
|
||||
print('*** end of events ***')
|
||||
break
|
||||
|
||||
# get and display current event
|
||||
current_event = self.events.get() # <8>
|
||||
if delay:
|
||||
time.sleep((current_event.time - sim_time) / 2)
|
||||
# update the simulation time
|
||||
sim_time, proc_id, previous_action = current_event
|
||||
print('taxi:', proc_id, proc_id * ' ', current_event)
|
||||
active_proc = self.procs[proc_id]
|
||||
# schedule next action for current proc
|
||||
next_time = sim_time + compute_duration(previous_action)
|
||||
try:
|
||||
next_event = active_proc.send(next_time) # <12>
|
||||
except StopIteration:
|
||||
del self.procs[proc_id] # <13>
|
||||
else:
|
||||
self.events.put(next_event) # <14>
|
||||
else: # <15>
|
||||
msg = '*** end of simulation time: {} events pending ***'
|
||||
print(msg.format(self.events.qsize()))
|
||||
# END TAXI_SIMULATOR
|
||||
|
||||
|
||||
def compute_duration(previous_action):
|
||||
"""Compute action duration using exponential distribution"""
|
||||
if previous_action in ['leave garage', 'drop off passenger']:
|
||||
# new state is prowling
|
||||
interval = SEARCH_DURATION
|
||||
elif previous_action == 'pick up passenger':
|
||||
# new state is trip
|
||||
interval = TRIP_DURATION
|
||||
elif previous_action == 'going home':
|
||||
interval = 1
|
||||
else:
|
||||
raise ValueError('Unknown previous_action: %s' % previous_action)
|
||||
return int(random.expovariate(1/interval)) + 1
|
||||
|
||||
|
||||
def main(end_time=DEFAULT_END_TIME, num_taxis=DEFAULT_NUMBER_OF_TAXIS,
|
||||
seed=None, delay=False):
|
||||
"""Initialize random generator, build procs and run simulation"""
|
||||
if seed is not None:
|
||||
random.seed(seed) # get reproducible results
|
||||
|
||||
taxis = {i: taxi_process(i, (i+1)*2, i*DEPARTURE_INTERVAL)
|
||||
for i in range(num_taxis)}
|
||||
sim = Simulator(taxis)
|
||||
sim.run(end_time, delay)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
|
||||
parser = argparse.ArgumentParser(
|
||||
description='Taxi fleet simulator.')
|
||||
parser.add_argument('-e', '--end-time', type=int,
|
||||
default=DEFAULT_END_TIME,
|
||||
help='simulation end time; default = %s'
|
||||
% DEFAULT_END_TIME)
|
||||
parser.add_argument('-t', '--taxis', type=int,
|
||||
default=DEFAULT_NUMBER_OF_TAXIS,
|
||||
help='number of taxis running; default = %s'
|
||||
% DEFAULT_NUMBER_OF_TAXIS)
|
||||
parser.add_argument('-s', '--seed', type=int, default=None,
|
||||
help='random generator seed (for testing)')
|
||||
parser.add_argument('-d', '--delay', action='store_true',
|
||||
help='introduce delay proportional to simulation time')
|
||||
|
||||
args = parser.parse_args()
|
||||
main(args.end_time, args.taxis, args.seed, args.delay)
|
||||
|
||||
|
||||
"""
|
||||
|
||||
Sample run from the command line, seed=3, maximum elapsed time=120::
|
||||
|
||||
# BEGIN TAXI_SAMPLE_RUN
|
||||
$ python3 taxi_sim.py -s 3 -e 120
|
||||
taxi: 0 Event(time=0, proc=0, action='leave garage')
|
||||
taxi: 0 Event(time=2, proc=0, action='pick up passenger')
|
||||
taxi: 1 Event(time=5, proc=1, action='leave garage')
|
||||
taxi: 1 Event(time=8, proc=1, action='pick up passenger')
|
||||
taxi: 2 Event(time=10, proc=2, action='leave garage')
|
||||
taxi: 2 Event(time=15, proc=2, action='pick up passenger')
|
||||
taxi: 2 Event(time=17, proc=2, action='drop off passenger')
|
||||
taxi: 0 Event(time=18, proc=0, action='drop off passenger')
|
||||
taxi: 2 Event(time=18, proc=2, action='pick up passenger')
|
||||
taxi: 2 Event(time=25, proc=2, action='drop off passenger')
|
||||
taxi: 1 Event(time=27, proc=1, action='drop off passenger')
|
||||
taxi: 2 Event(time=27, proc=2, action='pick up passenger')
|
||||
taxi: 0 Event(time=28, proc=0, action='pick up passenger')
|
||||
taxi: 2 Event(time=40, proc=2, action='drop off passenger')
|
||||
taxi: 2 Event(time=44, proc=2, action='pick up passenger')
|
||||
taxi: 1 Event(time=55, proc=1, action='pick up passenger')
|
||||
taxi: 1 Event(time=59, proc=1, action='drop off passenger')
|
||||
taxi: 0 Event(time=65, proc=0, action='drop off passenger')
|
||||
taxi: 1 Event(time=65, proc=1, action='pick up passenger')
|
||||
taxi: 2 Event(time=65, proc=2, action='drop off passenger')
|
||||
taxi: 2 Event(time=72, proc=2, action='pick up passenger')
|
||||
taxi: 0 Event(time=76, proc=0, action='going home')
|
||||
taxi: 1 Event(time=80, proc=1, action='drop off passenger')
|
||||
taxi: 1 Event(time=88, proc=1, action='pick up passenger')
|
||||
taxi: 2 Event(time=95, proc=2, action='drop off passenger')
|
||||
taxi: 2 Event(time=97, proc=2, action='pick up passenger')
|
||||
taxi: 2 Event(time=98, proc=2, action='drop off passenger')
|
||||
taxi: 1 Event(time=106, proc=1, action='drop off passenger')
|
||||
taxi: 2 Event(time=109, proc=2, action='going home')
|
||||
taxi: 1 Event(time=110, proc=1, action='going home')
|
||||
*** end of events ***
|
||||
# END TAXI_SAMPLE_RUN
|
||||
|
||||
"""
|
@ -1,52 +0,0 @@
|
||||
# Code below is the expansion of the statement:
|
||||
#
|
||||
# RESULT = yield from EXPR
|
||||
#
|
||||
# Copied verbatim from the Formal Semantics section of
|
||||
# PEP 380 -- Syntax for Delegating to a Subgenerator
|
||||
#
|
||||
# https://www.python.org/dev/peps/pep-0380/#formal-semantics
|
||||
|
||||
|
||||
# tag::YIELD_FROM_EXPANSION[]
|
||||
_i = iter(EXPR) # <1>
|
||||
try:
|
||||
_y = next(_i) # <2>
|
||||
except StopIteration as _e:
|
||||
_r = _e.value # <3>
|
||||
else:
|
||||
while 1: # <4>
|
||||
try:
|
||||
_s = yield _y # <5>
|
||||
except GeneratorExit as _e: # <6>
|
||||
try:
|
||||
_m = _i.close
|
||||
except AttributeError:
|
||||
pass
|
||||
else:
|
||||
_m()
|
||||
raise _e
|
||||
except BaseException as _e: # <7>
|
||||
_x = sys.exc_info()
|
||||
try:
|
||||
_m = _i.throw
|
||||
except AttributeError:
|
||||
raise _e
|
||||
else: # <8>
|
||||
try:
|
||||
_y = _m(*_x)
|
||||
except StopIteration as _e:
|
||||
_r = _e.value
|
||||
break
|
||||
else: # <9>
|
||||
try: # <10>
|
||||
if _s is None: # <11>
|
||||
_y = next(_i)
|
||||
else:
|
||||
_y = _i.send(_s)
|
||||
except StopIteration as _e: # <12>
|
||||
_r = _e.value
|
||||
break
|
||||
|
||||
RESULT = _r # <13>
|
||||
# end::YIELD_FROM_EXPANSION[]
|
@ -1,32 +0,0 @@
|
||||
# Code below is a very simplified expansion of the statement:
|
||||
#
|
||||
# RESULT = yield from EXPR
|
||||
#
|
||||
# This code assumes that the subgenerator will run to completion,
|
||||
# without the client ever calling ``.throw()`` or ``.close()``.
|
||||
# Also, this code makes no distinction between the client
|
||||
# calling ``next(subgen)`` or ``subgen.send(...)``
|
||||
#
|
||||
# The full expansion is in:
|
||||
# PEP 380 -- Syntax for Delegating to a Subgenerator
|
||||
#
|
||||
# https://www.python.org/dev/peps/pep-0380/#formal-semantics
|
||||
|
||||
|
||||
# tag::YIELD_FROM_EXPANSION_SIMPLIFIED[]
|
||||
_i = iter(EXPR) # <1>
|
||||
try:
|
||||
_y = next(_i) # <2>
|
||||
except StopIteration as _e:
|
||||
_r = _e.value # <3>
|
||||
else:
|
||||
while 1: # <4>
|
||||
_s = yield _y # <5>
|
||||
try:
|
||||
_y = _i.send(_s) # <6>
|
||||
except StopIteration as _e: # <7>
|
||||
_r = _e.value
|
||||
break
|
||||
|
||||
RESULT = _r # <8>
|
||||
# end::YIELD_FROM_EXPANSION_SIMPLIFIED[]
|
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Reference in New Issue
Block a user