SCF aims to create a very simple format which is ideal for config usage. It is separated into "Sections", "Keys" and "Values".

Each SCF file must have at least one section and all extra key->values must be within a section.

# Comment

<test.scf>

{section1}
    database = "hello"
    hello = true
    list = [
        [10, 10],
        "test", "test", "test"
    ]
    test = {"test": 10}
    x = 10

• # Comment
• {x} Section
• <file.scf> Import
• key = value

• true/false or True/False -> Bool
• 10 -> Integer
• 10.3 -> Float
• "string" or 'string' -> String
• [1, 2] -> List
• {"a": 10} -> Dictionary
• (1, 2) -> Tuple

The config will be returned as a Python dictionary.

SCF can be parsed from a file or from a string.

test.scf

{section1}
    database = "hello"
    hello = true
    list = [
        [10, 10],
        "test", "test", "test"
    ]
    test = {"test": 10}
    x = 10

Python

>>> config = SCF.read("test.scf")
>>> config
{'section1': {'database': 'hello', 'hello': True, 'list': [[10, 10], 'test', 'test', 'test'], 'test': {'test': 10}, 'x': 10}}

Python

>>> config_string = """
{section1}
    database = "hello"
    hello = true
    list = [
        [10, 10],
        "test", "test", "test"
    ]
    test = {"test": 10}
    x = 10
"""
>>> config = SCF.parse(config_string)
>>> config
{'section1': {'database': 'hello', 'hello': True, 'list': [[10, 10], 'test', 'test', 'test'], 'test': {'test': 10}, 'x': 10}}

Both read and parse have two keyword arguments error_report and strict. error_report will print warnings on duplicate keys whereas strict will raise an exception.