Metadata-Version: 2.1
Name: binaryfile
Version: 1.0.0
Summary: A library for defining the structure of a binary file and then reading or writing it.
Home-page: https://github.com/Faxmachinen/pybinaryfile
Author: Faxmachinen
Author-email: binaryfile@faxmachinen.com
License: UNKNOWN
Description: # binaryfile
        
        A library for defining the structure of a binary file and then reading or writing it.
        
        ## Getting Started
        
        ### Requirements
        
        You will need Python 3.6 or later.
        
        ### Installing
        
        Windows with Python launcher:
        
        ```bat
        py -3 -m pip install binaryfile
        ```
        
        Linux with python3-pip:
        ```bash
        pip3 install binaryfile
        ```
        
        ### How to use
        
        If you want to read or write to a binary file, first you will need to define the file structure. You do this by writing a function that takes a single argument, which is a subclass of binaryfile.fileformat.BinarySectionBase. The file structure is then defined by calling methods on said argument:
        
        ```python
        import io
        import binaryfile
        
        # Define the file structure
        def file_spec(binary_section):
        	binary_section.bytes('identifier', 4)  # Four bytes
        	size = binary_section.uint('size', 2)  # A two-byte unsigned integer
        	binary_section.bytes('text', size)  # A variable number of bytes
        
        if __name__ == '__main__':
        	# Read the file and print the text field
        	with open('myfile.dat', 'rb') as file_handle:
        		data = binaryfile.read(file_handle, file_spec)
        	print(data['text'].decode('utf-8'))
        
        	# Modify the text field
        	data['text'] += ' More Text!'.encode('utf-8')
        	data['size'] = len(data['text'])  # Update the size
        
        	# Errors will throw exceptions and
        	# cause the written file to be truncated,
        	# so write to a memory buffer first
        	modified_buffer = io.BytesIO()
        	binaryfile.write(modified_buffer, data, file_spec)
        
        	# Then write back to file
        	with open('myfile.dat', 'wb') as file_handle:
        		file_handle.write(modified_buffer.getvalue())
        		
        ```
        
        You can break the definition into reusable sections and sub-sections:
        
        ```python
        def subsection_spec(binary_section):
        	binary_section.struct('position', 'fff')  # Three floats, using a format string from Python's built-in struct module.
        
        def section_spec(binary_section):
        	binary_section.int('type', 1)  # A one-byte signed integer.
        	binary_section.section('subsection1', subsection_spec)  # Three floats, as specified in subsection_spec.
        	binary_section.section('subsection2', subsection_spec)  # Section can be reused.
        
        def file_spec(binary_section):
        	binary_section.section(f'section1', section_spec)
        	binary_section.section(f'section2', section_spec)
        	binary_section.section(f'section3', section_spec)
        
        if __name__ == '__main__':
        	# You can use a custom dictionary-like result class for convenience
        	# SimpleDict allows us to access entries by attribute notation
        	with open('myfile2.dat', 'rb') as file_handle:
        		data = binaryfile.read(file_handle, file_spec, result_type=binaryfile.utils.SimpleDict)
        	print(data.section2.subsection1.position)
        ```
        
        And you can declare fields to be arrays and use loops:
        
        ```python
        def file_spec(binary_section):
        	count = binary_section.uint('count', 4)
        	binary_section.array('positions')  # Declare "positions" to be an array
        	for i in range(count):
        		binary_section.struct('positions', 'fff')  # Now each time "positions" is used, it's the next element of the array
        ```
        
        ### Running the tests
        
        To run the tests, CD into the "tests" folder and run the scripts there.
        
        ### License
        
        This project is licensed under MIT License, see [LICENSE](LICENSE) for details.
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
