Data Types Example (data_types.py)

Purpose

Showcases the breadth of built-in and helper data types:

• Explicit vs implicit (auto-detected) types
• Numeric formatting (Hex, Octal, Binary)
• Custom base integers (encoded as <base>c<value> in the file)
• Bytes → integer conversion via Binary

Running

uv run python examples/data_types.py

Generated config.ini (Excerpt)

Values may accumulate across runs; representative first-run section:

[DataTypeConfig]
string_value = default string
int_value = 42
float_value = 3.14159
bool_value = True
auto_string = auto-detected string
auto_int = 100
auto_float = 2.71828
auto_bool = False
hex_value = 0xff
octal_value = 0o755
binary_value = 0b10101010
binary_from_bytes = 0b0110100001100101011011000110110001101111
base7_value = 7c42
base5_value = 5c13

After updates inside the script, the file reflects the new values (hex, octal, binary adjustments).

Notes

• Changing base persists a prefixed representation so it can be reliably parsed later.
• Binary will store integers; when constructed from bytes, those bytes are interpreted as a big-endian integer.

Try Variations

• Manually edit hex_value to 0x1a2b and re-run.
• Remove binary_from_bytes line; script re-creates it.

Custom Type Extension

See the separate custom data type example examples/custom_data_type.py for how to implement and register your own converter (e.g. an UpperString normalizer) by subclassing BaseDataType.