PureBasic – pbF64
Usage
Here I
will show you some simple steps to your first F64 Calculations.
·
Defining
F64 Numbers
let
df denote a Double Float
Defining a new double variable is as easy as
df.double
·
Assigning
values
Values can be assigned to an double by simply calling one of the following
functions.
F64_Val(df.double,
"42.2342"); Assigns a numeric string to the double
float.f = 42.2342
F64_Float(df.double,
float); Assigns a float to the double
int.l = 42
F64_Int(df.double, int);
Assigns a long to the double
·
Calculation
All Functions expecting a double as result are writing this result in the first
passed double parameter (df1 or df in the descriptions).
Example:
df1.double
df2.double
F64_Val(df1,
"23") ;df1 becomes 23
F64_Val(df2,
"19") ;df2
-"- 19
F64_Add(df1,
df2) ;df1 should now be 42 while
df2 remains 19
Since version 0.9 the result can also be stored in an optional parameter. In this case, the first parameter stays untouched.
Example:
df1.double
df2.double
result.double
F64_Val(df1,
"23") ;df1 becomes 23
F64_Val(df2,
"19") ;df2 becomes 19
F64_Add(df1, df2,
result) ;df1 should now still be
23, df2 remains 19 too. result will be the only changed variable, it's value
now 42.
·
Comparing
values
Once you have calculated some values, you sure need to compare them to each
other.
Here too you have two syntaxes.
This compares two numbers to each other and returns an integer value as result.
integer.l
= F64_Cmp(df.double, df2.double)
This one also compares the two numbers, but stores the result in another double
and returns the result in a long integer
comp.l = F64_Cmp(df.double, df2.double, result.double)
·
Output
In the end you surely will output the numbers in a suitable format. We have
several functions for this
For example:
string.s
= F64_Str(df.double
, 5, #F64_Format_Scientific)
This will return the number as a numeric string in exponential/scientific
notation (4.22342E+1).(
string.s
= F64_Str(df.double, 4,
#F64_Format_Decimal)
This will return a normal fixed point notational string (42.2342)
Or
String.s
= F64_Str(df.double, 15,
#F64_Format_Auto) will Output as one of the above, shortest wins.