Metadata-Version: 2.1
Name: supyr-struct
Version: 1.5.3
Summary: A versatile and extensible binary data parsing/serializing library for Python 3
Home-page: https://github.com/Sigmmma/supyr_struct
Author: Devin Bobadilla, Michelle van der Graaf
Author-email: MosesBobadilla@gmail.com
License: MIT
Project-URL: Source, https://github.com/Sigmmma/supyr_struct
Project-URL: Funding, https://liberapay.com/MEK/
Description: # Supyr Struct
        
        [![](https://img.shields.io/pypi/dm/supyr_struct)](https://pypistats.org/packages/supyr_struct)
        ![](https://ci.appveyor.com/api/projects/status/github/Sigmmma/supyr_struct?svg=true)
        [![PyPI version](https://badge.fury.io/py/supyr-struct.svg)](https://pypi.org/project/supyr_struct/)
        [![GitHub version](https://badge.fury.io/gh/Sigmmma%2Fsupyr_struct.svg)](https://github.com/Sigmmma/supyr_struct)
        
        Supyr Struct is an extensible and powerful binary data parsing, editing, and serializing library for Python 3.
        
        Supyr's parsing and serializing is declarative, meaning that rather than write code to handle parsing and serializing data, you instead create a description of the structure using various FieldTypes. These descriptions are used by BlockDef objects to build Blocks, which represent/contain the parsed data. A BlockDef is simply a constructor object that scans its description for errors on initialization and uses it for creating Blocks.
        
        
        Supyr provides a large collection of FieldTypes, ranging from atomic data types(floats and ints of various sizes) to hierarchical structures(structs, containers, and arrays) and logical structures and wrappers(switches and unions).
        
        
        For a detailed overview of the more abstract concepts and features of Supyr, read the text files in the 'docs' folder.
        
        ## Changelog
        Check out the changelog [here](https://github.com/Sigmmma/supyr_struct/blob/master/CHANGELOG.MD).
        
        ## License
        This project is licensed under the MIT License, check out the details and author info [here](https://github.com/Sigmmma/supyr_struct/blob/master/LICENSE.TXT).
        
        ## Installing
        
        You'll need Python 3.5 or higher.
        
        In your terminal execute:
        ```sh
        python3 -m pip install supyr_struct
        ```
        or, you can clone/download this repo and run the setup.py:
        ```sh
        git clone git@github.com:Sigmmma/supyr_struct.git
        cd supyr_struct
        python3 -m pip install .
        ```
        
        
        ## Examples
        
        Heres a small example of defining a structure using a BlockDef and FieldTypes and using it to create a Block.
        
        ```py
        
        >>> from supyr_struct import *
        >>>
        >>>
        >>> asdf = BlockDef('some_block',
        ... UInt32('some_int'),
        ... BytesRaw('some_bytes', SIZE=16),
        ... ENDIAN='>')
        >>>
        >>>
        >>> test_block = asdf.build()
        >>> test_block.some_int = 1337
        >>> test_block['some_bytes'] = b'here\'s a cstring\x00'
        >>>
        >>> print('test_block:', test_block)
        test_block: [ Container, entries:2, some_block
            [ UInt32, size:4, some_int, 1337 ]
            [ BytesRaw, size:16, some_bytes, <RAWDATA> ]
            ]
        >>>
        >>>
        >>> test_block.serialize()
        BytearrayBuffer(b"\x00\x00\x059here\'s a cstring\x00")
        ```
        
        Supyr allows forcing endianness to be either big, little, or back to normal on a library scale and/or on individual FieldTypes.
        ```py
        >>> field_types.FieldType.force_little()
        >>> test_block.serialize()
        BytearrayBuffer(b"9\x05\x00\x00here\'s a cstring\x00")
        >>>
        >>> field_types.FieldType.force_normal()
        >>> test_block.serialize()
        BytearrayBuffer(b"\x00\x00\x059here\'s a cstring\x00")
        >>>
        >>> field_types.FieldType.force_big()
        >>> test_block.serialize()
        BytearrayBuffer(b"\x00\x00\x059here\'s a cstring\x00")
        >>>
        >>> field_types.FieldType.force_little()
        >>> test_block.serialize()
        BytearrayBuffer(b"9\x05\x00\x00here\'s a cstring\x00")
        ```
        
        
        Take a look at the examples module for some ready-to-run example programs that utilize Supyr in different ways.
        
        
        ## Who do I talk to?
        
        If you're having any issues with the library you can report them on our [GitHub Issues page](https://github.com/Sigmmma/supyr_struct/issues).
        
        If the issue requires some more direct attention we'll drop a contact link.
        
Keywords: supyr_struct,binary,data structure,parser,serializer,serialize
Platform: POSIX
Platform: Windows
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3 :: Only
Provides: supyr_struct
Requires-Python: >=3.5
Description-Content-Type: text/markdown
