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A decorator is passed the original object being defined and returns a modified object, which is then bound to the name in the definition. Python decorators were inspired in part by Java annotations, and have a similar syntax; the decorator syntax is pure syntactic sugar, using @ as the keyword:
The post-increment and post-decrement operators increase (or decrease) the value of their operand by 1, but the value of the expression is the operand's value prior to the increment (or decrement) operation. In languages where increment/decrement is not an expression (e.g., Go), only one version is needed (in the case of Go, post operators only).
Python's built-in dict class can be subclassed to implement autovivificious dictionaries simply by overriding the __missing__() method that was added to the class in Python v2.5. [5] There are other ways of implementing the behavior, [ 6 ] [ 7 ] but the following is one of the simplest and instances of the class print just like normal Python ...
A loop can increment a variable and stop when a limit is reached. do index = start [to limit] [by increment] [for count] [instructions] end. The increment value is 1 if the by clause is omitted. The loop continues forever if the limit to clause is omitted, unless terminated earlier by another clause or by a leave statement.
The assignment statement (=) binds a name as a reference to a separate, dynamically allocated object. Variables may subsequently be rebound at any time to any object. In Python, a variable name is a generic reference holder without a fixed data type; however, it always refers to some object with a type.
The end-loop marker specifies the name of the index variable, which must correspond to the name of the index variable at the start of the for-loop. Some languages (PL/I, Fortran 95, and later) allow a statement label at the start of a for-loop that can be matched by the compiler against the same text on the corresponding end-loop statement.
Statements are labeled using the following conventions: , where i is an integer in [,] ; and n is the number of statements in the basic block; Variables are identified in italic (e.g., v,u and t) Every variable is assumed to have a definition in the context or scope.
In the above, increment_counter can be called by different threads without any problem since a mutex is used to synchronize all access to the shared counter variable. But if the function is used in a reentrant interrupt handler and a second interrupt arises while the mutex is locked, the second routine will hang forever.