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Python Network Programming II - Chat Server / Client Python Network Programming I - Basic Server / Client : B File Transfer Python Network Programming I - Basic Server / Client : A Basics REST API : Http Requests for Humans with Flask Web scraping with Selenium for checking domain availability Python HTTP Web Services - urllib, httplib2 MongoDB with PyMongo I - Installing MongoDB. Connecting to DB, create/drop table, and insert data into a table Priority queue and heap queue data structure Python Object Serialization - yaml and json Python Object Serialization - pickle and json Sets (union/intersection) and itertools - Jaccard coefficient and shingling to check plagiarismĬlasses and Instances (_init_, _call_, etc.)īits, bytes, bitstring, and constBitStream Strings - Escape Sequence, Raw String, and Slicingįormatting Strings - expressions and method calls Object Types - Numbers, Strings, and None Running Python Programs (os, sys, import) Using locks in the with statement - context managerĬondition objects with producer and consumer RLock (Reentrant) objects - acquire() method
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Lock objects - acquire() & release() methods Subclassing & overriding run() and _init_() methods Python Multithread Creating a thread and passing arguments to the thread
#Spanning sync notifier code#
The typical programming style using condition variables uses the lock to synchronize access to some shared state threads that are interested in a particular change of state call wait() repeatedly until they see the desired state, while threads that modify the state call notify() or notify_all() when they change the state in such a way that it could possibly be a desired state for one of the waiters.įor example, the following code is a generic producer-consumer situation with unlimited buffer capacity: Note that the notify() and notify_all() methods don't release the lock this means that the thread or threads awakened will not return from their wait() call immediately, but only when the thread that called notify() or notify_all() finally relinquishes ownership of the lock. The wait() method releases the lock, and then blocks until another thread awakens it by calling notify() or notify_all(). Instead, our threads used with to acquire the lock associated with the Condition. Note that we did not use acquire() and release() methods at all since we utilized the lock object's context manager function ( Using locks in the with statement - context manager). (consumer2) Consumer consumed the resource
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(consumer1) Consumer consumed the resource Pd = threading.Thread(name='producer', target=producer, args=( condition,)) bug('Notifying to all consumers')Ĭs1 = threading.Thread(name='consumer1', target=consumer, args=( condition,))Ĭs2 = threading.Thread(name='consumer2', target=consumer, args=( condition,))
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The producer thread is responsible for setting the condition and notifying the other threads that they can continue.įormat='(%(threadName)-9s) %(message)s',) In the following example, the consumer threads wait for the Condition to be set before continuing. So, the condition object allows threads to wait for the resource to be updated. The lock is part of the condition object: we don't have to track it separately. Passing one in is useful when several condition variables must share the same lock. A lock can be passed in or one will be created by default. Because a condition variable is always associated with some kind of lock, it can be tied to a shared resource. In this chapter, we'll learn another way of synchronizing threads: using a Condition object.