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张小农 / 某扫描器核心反编译

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queue.py 8.55 KB
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张小农 提交于 2019-03-21 13:47 . first code
# uncompyle6 version 3.2.3
# Python bytecode 3.6 (3379)
# Decompiled from: Python 3.6.8 |Anaconda custom (64-bit)| (default, Feb 21 2019, 18:30:04) [MSC v.1916 64 bit (AMD64)]
# Embedded file name: queue.py
"""A multi-producer, multi-consumer queue."""
try:
import threading
except ImportError:
import dummy_threading as threading
from collections import deque
from heapq import heappush, heappop
from time import monotonic as time
__all__ = ["Empty", "Full", "Queue", "PriorityQueue", "LifoQueue"]
class Empty(Exception):
"""Exception raised by Queue.get(block=0)/get_nowait()."""
pass
class Full(Exception):
"""Exception raised by Queue.put(block=0)/put_nowait()."""
pass
class Queue:
"""Create a queue object with a given maximum size.
If maxsize is <= 0, the queue size is infinite.
"""
def __init__(self, maxsize=0):
self.maxsize = maxsize
self._init(maxsize)
self.mutex = threading.Lock()
self.not_empty = threading.Condition(self.mutex)
self.not_full = threading.Condition(self.mutex)
self.all_tasks_done = threading.Condition(self.mutex)
self.unfinished_tasks = 0
def task_done(self):
"""Indicate that a formerly enqueued task is complete.
Used by Queue consumer threads. For each get() used to fetch a task,
a subsequent call to task_done() tells the queue that the processing
on the task is complete.
If a join() is currently blocking, it will resume when all items
have been processed (meaning that a task_done() call was received
for every item that had been put() into the queue).
Raises a ValueError if called more times than there were items
placed in the queue.
"""
with self.all_tasks_done:
unfinished = self.unfinished_tasks - 1
if unfinished <= 0:
if unfinished < 0:
raise ValueError("task_done() called too many times")
self.all_tasks_done.notify_all()
self.unfinished_tasks = unfinished
def join(self):
"""Blocks until all items in the Queue have been gotten and processed.
The count of unfinished tasks goes up whenever an item is added to the
queue. The count goes down whenever a consumer thread calls task_done()
to indicate the item was retrieved and all work on it is complete.
When the count of unfinished tasks drops to zero, join() unblocks.
"""
with self.all_tasks_done:
while self.unfinished_tasks:
self.all_tasks_done.wait()
def qsize(self):
"""Return the approximate size of the queue (not reliable!)."""
with self.mutex:
return self._qsize()
def empty(self):
"""Return True if the queue is empty, False otherwise (not reliable!).
This method is likely to be removed at some point. Use qsize() == 0
as a direct substitute, but be aware that either approach risks a race
condition where a queue can grow before the result of empty() or
qsize() can be used.
To create code that needs to wait for all queued tasks to be
completed, the preferred technique is to use the join() method.
"""
with self.mutex:
return not self._qsize()
def full(self):
"""Return True if the queue is full, False otherwise (not reliable!).
This method is likely to be removed at some point. Use qsize() >= n
as a direct substitute, but be aware that either approach risks a race
condition where a queue can shrink before the result of full() or
qsize() can be used.
"""
with self.mutex:
return 0 < self.maxsize <= self._qsize()
def put(self, item, block=True, timeout=None):
"""Put an item into the queue.
If optional args 'block' is true and 'timeout' is None (the default),
block if necessary until a free slot is available. If 'timeout' is
a non-negative number, it blocks at most 'timeout' seconds and raises
the Full exception if no free slot was available within that time.
Otherwise ('block' is false), put an item on the queue if a free slot
is immediately available, else raise the Full exception ('timeout'
is ignored in that case).
"""
with self.not_full:
if not (self.maxsize > 0 and block):
if self._qsize() >= self.maxsize:
raise Full
else:
if timeout is None:
while self._qsize() >= self.maxsize:
self.not_full.wait()
else:
if timeout < 0:
raise ValueError("'timeout' must be a non-negative number")
else:
endtime = time() + timeout
while self._qsize() >= self.maxsize:
remaining = endtime - time()
if remaining <= 0.0:
raise Full
self.not_full.wait(remaining)
self._put(item)
self.unfinished_tasks += 1
self.not_empty.notify()
def get(self, block=True, timeout=None):
"""Remove and return an item from the queue.
If optional args 'block' is true and 'timeout' is None (the default),
block if necessary until an item is available. If 'timeout' is
a non-negative number, it blocks at most 'timeout' seconds and raises
the Empty exception if no item was available within that time.
Otherwise ('block' is false), return an item if one is immediately
available, else raise the Empty exception ('timeout' is ignored
in that case).
"""
with self.not_empty:
if not block:
if not self._qsize():
raise Empty
else:
if timeout is None:
while not self._qsize():
self.not_empty.wait()
else:
if timeout < 0:
raise ValueError("'timeout' must be a non-negative number")
else:
endtime = time() + timeout
while not self._qsize():
remaining = endtime - time()
if remaining <= 0.0:
raise Empty
self.not_empty.wait(remaining)
item = self._get()
self.not_full.notify()
return item
def put_nowait(self, item):
"""Put an item into the queue without blocking.
Only enqueue the item if a free slot is immediately available.
Otherwise raise the Full exception.
"""
return self.put(item, block=False)
def get_nowait(self):
"""Remove and return an item from the queue without blocking.
Only get an item if one is immediately available. Otherwise
raise the Empty exception.
"""
return self.get(block=False)
def _init(self, maxsize):
self.queue = deque()
def _qsize(self):
return len(self.queue)
def _put(self, item):
self.queue.append(item)
def _get(self):
return self.queue.popleft()
class PriorityQueue(Queue):
"""Variant of Queue that retrieves open entries in priority order (lowest first).
Entries are typically tuples of the form: (priority number, data).
"""
def _init(self, maxsize):
self.queue = []
def _qsize(self):
return len(self.queue)
def _put(self, item):
heappush(self.queue, item)
def _get(self):
return heappop(self.queue)
class LifoQueue(Queue):
"""Variant of Queue that retrieves most recently added entries first."""
def _init(self, maxsize):
self.queue = []
def _qsize(self):
return len(self.queue)
def _put(self, item):
self.queue.append(item)
def _get(self):
return self.queue.pop()
Python
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某扫描器核心反编译
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