mirror of https://github.com/nocturn9x/giambio.git
123 lines
3.4 KiB
Python
123 lines
3.4 KiB
Python
"""
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Copyright (C) 2020 nocturn9x
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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import types
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from ._traps import join, cancel, event_set, event_wait
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from heapq import heappop, heappush
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class Task:
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"""A simple wrapper around a coroutine object"""
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def __init__(self, coroutine: types.coroutine):
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self.coroutine = coroutine
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self.cancelled = False # True if the task gets cancelled
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self.exc = None
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self.result = None
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self.finished = False
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self.status = "init" # This is useful for cancellation
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self._last_io = None
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self._notify = None
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def run(self, what=None):
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"""Simple abstraction layer over the coroutines ``send`` method"""
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return self.coroutine.send(what)
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def throw(self, err: Exception):
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"""Simple abstraction layer over the coroutines ``throw`` method"""
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return self.coroutine.throw(err)
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async def join(self):
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"""Joins the task"""
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return await join(self)
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async def cancel(self):
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"""Cancels the task"""
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await cancel(self)
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def __repr__(self):
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"""Implements repr(self)"""
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return f"Task({self.coroutine}, cancelled={self.cancelled}, exc={repr(self.exc)}, result={self.result}, finished={self.finished}, status={self.status})"
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class Event:
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"""A class designed similarly to threading.Event, but with more features"""
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def __init__(self, loop):
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"""Object constructor"""
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self._set = False
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self._notify = None
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self.notifier = loop.current_task
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self._timeout_expired = False
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self.event_caught = False
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self.timeout = None
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async def set(self, value=None):
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"""Sets the event, optionally taking a value. This can be used
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to control tasks' flow by 'sending' commands back and fort"""
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self._set = True
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self._notify = value
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await event_set(self, value)
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async def pause(self, timeout=0):
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"""Waits until the event is set and returns a value"""
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msg = await event_wait(self, timeout)
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if not self._timeout_expired:
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self.event_caught = True
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return msg
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class TimeQueue:
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"""An abstraction layer over a heap queue based on time. This is where
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sleeping tasks will be put when they are asleep"""
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def __init__(self, clock):
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self.clock = clock
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self.sequence = 0
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self.container = []
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def __contains__(self, item):
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return item in self.container
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def __iter__(self):
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return iter(self.container)
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def __getitem__(self, item):
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return self.container.__getitem__(item)
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def __bool__(self):
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return bool(self.container)
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def __repr__(self):
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return f"TimeQueue({self.container}, clock={self.clock})"
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def put(self, item, amount):
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heappush(self.container, (self.clock() + amount, self.sequence, item))
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self.sequence += 1
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def get(self):
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return heappop(self.container)[2]
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