Data types

In this section we describe standard and derived data types that can be used in DIP code.

Standard data types

DIP uses defaultly a set of 4 basic data types. Below is an overview of possible scalar values for each of them:

Boolean (bool)

day bool = true
night bool = false

Integer (int, signed 32-bit)

year int = 2023

Float (float, 64-bit)

duration float = 10              # integer form
weight float = 23.3              # floating form
distance float = 2.3e20          # scientific form

String (str)

name str = John                  # single word
city str = 'New York'            # multiple words
country str = "United Kingdoms"  # multiple words

Derived data types

When DIP is parsing parameters for programming languages like C/C++ and Fotran, it is sometimes necessary to closely specify which precision float and integer values have. This can be done using derived data types. Such data types are internally identical to their standard counterparts, however, they carry additional information about their sign (int) and precision (both int and float). The table below gives a list of all standard and corresponding derived data types that can be used in DIP.

List of standard and derived data types

Standard	Derived
int	int16, int32, int64, uint16, uint32, uint64
float	float32, float64, float128

Information about sign and precision is stored both in DIP node and type objects.

>>> with DIP() as p:
>>>     p.add_string("""
>>>     unsignedLongInteger uint64 = 29349850209348495020394849
>>>     """)
>>>     env = p.parse()
>>> data = env.data(Format.TYPE)
>>> data['unsignedLongInteger'].unsigned
true
>>> data['unsignedLongInteger'].precision
64