Python atomic for shared data types

The module can be used for atomic operations under multiple processs, multiple threads and multiple coroutines conditions.

Included datatypes:

• • atomic_int

• • atomic_uint

• • atomic_float

• • atomic_bool

• • atomic_bytearray

• • atomic_string

• • atomic_set, package bitarray>=2.4.0 is needed.

• • atomic_list, package bitarray>=2.4.0 is needed

• • atomic_shared_memory

  • procedure oriented APIs

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For installation guide, please refer to shared atomic enterprise.
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Shared Atomic Enterprise Requirement:

• Supported Python,

• • CPython 3.6 - 3.11

• Supported platforms,

• • MacOSX x86_64, centos7/rhel7 x86_64, Ubuntu Linux 18/20/22 x86_64 and Suse Linux Enterprise Server 12/15 x86_64, Microsoft Windows 10 x64, Windows Server 2019 x64

• • The package requires libatomic/libatomic1 installed on Linux platform.

• • urwid == 2.1.2 for activation.

• • bitarray if you need to use atomic_set or atomic_list.

• • Microsoft Visual C++ 2019 Redistributable(X64) on Windows.

• • windows-curses==2.3.1 on windows.

For example usage of the module, please visit this atomic_api_example

• Code of conduct
• atomic api Example with multiprocessing and multiple threads::
• Int API:
• Unsigned int API:
• Bool and Float API:
• Bytearray API:
• List API:
• Set API:
• String API:
• Shared memory API:
• procedure oriented APIs:
• Buy enterprise version
• Enterprise activation/Proxy modification
• shared atomic enterprise service
• Jira