Search results
Results from the WOW.Com Content Network
In computer science, a semaphore is a variable or abstract data type used to control access to a common resource by multiple threads and avoid critical section problems in a concurrent system such as a multitasking operating system. Semaphores are a type of synchronization primitive. A trivial semaphore is a plain variable that is changed (for ...
Pages in category "Articles with example Python (programming language) code" The following 200 pages are in this category, out of approximately 201 total. This list may not reflect recent changes. (previous page)
In computer science, an event (also called event semaphore) is a type of synchronization mechanism that is used to indicate to waiting processes when a particular condition has become true. An event is an abstract data type with a boolean state and the following operations:
# The first two are mutexes (only 0 or 1 possible) Semaphore barberReady = 0 Semaphore accessWRSeats = 1 # if 1, the number of seats in the waiting room can be incremented or decremented Semaphore custReady = 0 # the number of customers currently in the waiting room, ready to be served int numberOfFreeWRSeats = N # total number of seats in the ...
The original semaphore bounded buffer solution was written in ALGOL style. The buffer can store N portions or elements. The "number of queueing portions" semaphore counts the filled locations in the buffer, the "number of empty positions" semaphore counts the empty locations in the buffer and the semaphore "buffer manipulation" works as mutex for the buffer put and get operations.
The Zen of Python is a collection of 19 "guiding principles" for writing computer programs that influence the design of the Python programming language. [1] Python code that aligns with these principles is often referred to as "Pythonic". [2] Software engineer Tim Peters wrote this set of principles and posted it on the Python mailing list in ...
The code book was revised and simplified in 1795 to speed up transmission. The code was in two divisions, the first division was 94 alphabetic and numeric characters plus some commonly used letter combinations. The second division was a code book of 94 pages with 94 entries on each page. A code point was assigned for each number up to 94.
Introduced in Python 2.2 as an optional feature and finalized in version 2.3, generators are Python's mechanism for lazy evaluation of a function that would otherwise return a space-prohibitive or computationally intensive list. This is an example to lazily generate the prime numbers: