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In computer programming, thread-local storage (TLS) is a memory management method that uses static or global memory local to a thread. The concept allows storage of data that appears to be global in a system with separate threads. Many systems impose restrictions on the size of the thread-local memory block, in fact often rather tight limits.
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For example, a local shared object from "www.example.com" cannot be read by the domain "www.example.net". [1] However, the first-party website can always pass data to a third-party via some settings found in the dedicated XML file and passing the data in the request to the third party.
The messages that flow between computers to request services in a client-server environment can be designed as the linearizations of objects defined by class objects known to both the client and the server. For example, a simple linearized object would consist of a length field, a code point identifying the class, and a data value.
Upon leaving the using-block, the compiler guarantees that the stm object is released, effectively binding the variable to the file stream while abstracting from the side effects of initializing and releasing the file. Python's with statement and Ruby's block argument to File.open are used to similar effect.
default: native session factory. pluggable: Redis, PyNaCl, Beaker (memory, memcached, file, databases), more: deform, formencode, WTForms, more: Yes TACTIC Python Yes Yes Pull No Yes Yes Yes Yes Mako No Yes No Tornado: Python See Advanced Async Example implements AJAX - - - - - - - - - - Yes TurboGears: Python
A few examples: In Python, the term "marshal" is used for a specific type of "serialization" in the Python standard library [2] – storing internal python objects: The marshal module exists mainly to support reading and writing the “pseudo-compiled” code for Python modules of .pyc files. …
In software, a data access object (DAO) is a pattern that provides an abstract interface to some type of database or other persistence mechanism. By mapping application calls to the persistence layer, the DAO provides data operations without exposing database details.