6.2.2.1 Numerical Data Types

LUX offers the following numerical data types:

BYTE

A byte number requires 8 bits of storage, and can have any integer value between 0 and 255 (#max_byte – #max_byte – inclusive). inclusive.

WORD

A word number requires 16 bits of storage, and can have any integer value between -32768 (#min_word – #min_word) and +32767 (#max_word – #max_word) inclusive.

LONG

A long number requires 32 bits of storage, and can have any integer value between -2147483648 (#min_long – #min_long) and +2147483647 (#max_long – #max_long) inclusive.

INT64

An int64 number requires 64 bits of storage, and can have any integer value between -9223372036854775808 (#min_int64 – #min_int64) and +9223372036854775807 (#max_int64 – #max_int64) inclusive.

FLOAT

A float number requires four bytes of storage, and has a single-precision floating-point value. The meaning of "single precision" depends on the way that floating-point numbers are represented inside your computer. On all computers, these values have at least 6 significant digits, and may have a magnitude at least as large as and at least as small as (when larger than zero) The largest absolute value representable on your machine as a float is equal to #max_float (#max_float). The smallest representable non-zero absolute value is equal to #min_float (#min_float).

On machines that comply with the IEEE 754-1985 standard for binary floating-point arithmetic, values of type float may have the value zero and also values between about and as well as the special values Inf (too large for this data type) and NaN (Not-A-Number, for undefined results such as the square root of a negative number; see isnan).

DOUBLE

A double number requires eight bytes of storage, and has a double-precision floating-point value. As for float values, the precision reached depends on your computer. These values have at least 10 significant digits, and have a range of magnitudes at least as large as that of a float value. The largest and smallest representable absolute non-zero values of type double are #max_double (#max_double) and #min_double (#min_double).

On computers that comply with the IEEE 754-1985 standard for binary floating-point arithmetic, values of type double may have the value zero and also values between about and as well as the special values Inf (too large for this data type) and NaN (Not-A-Number, for undefined results such as the square root of a negative number).

On computers that comply with the IEEE 754-1985 standard, the ratio 1.0/0.0 yields the value Inf (infinity), and that value is available in the global variable #infty. On computers that do not allow division by (floating-point) zero, #infty is equal to #max_float.

See also: #infty