calc: Packing and Unpacking
10.1 Packing and Unpacking
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Calc’s “pack” and “unpack” commands collect stack entries to build
composite objects such as vectors and complex numbers. They are
described in this chapter because they are most often used to build
vectors.
The ‘v p’ (‘calc-pack’) [‘pack’] command collects several elements
from the stack into a matrix, complex number, HMS form, error form, etc.
It uses a numeric prefix argument to specify the kind of object to be
built; this argument is referred to as the “packing mode.” If the
packing mode is a nonnegative integer, a vector of that length is
created. For example, ‘C-u 5 v p’ will pop the top five stack elements
and push back a single vector of those five elements. (‘C-u 0 v p’
simply creates an empty vector.)
The same effect can be had by pressing ‘[’ to push an incomplete
vector on the stack, using <TAB> (‘calc-roll-down’) to sneak the
incomplete object up past a certain number of elements, and then
pressing ‘]’ to complete the vector.
Negative packing modes create other kinds of composite objects:
‘-1’
Two values are collected to build a complex number. For example,
‘5 <RET> 7 C-u -1 v p’ creates the complex number ‘(5, 7)’. The
result is always a rectangular complex number. The two input
values must both be real numbers, i.e., integers, fractions, or
floats. If they are not, Calc will instead build a formula like ‘a
+ (0, 1) b’. (The other packing modes also create a symbolic
answer if the components are not suitable.)
‘-2’
Two values are collected to build a polar complex number. The
first is the magnitude; the second is the phase expressed in either
degrees or radians according to the current angular mode.
‘-3’
Three values are collected into an HMS form. The first two values
(hours and minutes) must be integers or integer-valued floats. The
third value may be any real number.
‘-4’
Two values are collected into an error form. The inputs may be
real numbers or formulas.
‘-5’
Two values are collected into a modulo form. The inputs must be
real numbers.
‘-6’
Two values are collected into the interval ‘[a .. b]’. The inputs
may be real numbers, HMS or date forms, or formulas.
‘-7’
Two values are collected into the interval ‘[a .. b)’.
‘-8’
Two values are collected into the interval ‘(a .. b]’.
‘-9’
Two values are collected into the interval ‘(a .. b)’.
‘-10’
Two integer values are collected into a fraction.
‘-11’
Two values are collected into a floating-point number. The first
is the mantissa; the second, which must be an integer, is the
exponent. The result is the mantissa times ten to the power of the
exponent.
‘-12’
This is treated the same as -11 by the ‘v p’ command. When
unpacking, -12 specifies that a floating-point mantissa is desired.
‘-13’
A real number is converted into a date form.
‘-14’
Three numbers (year, month, day) are packed into a pure date form.
‘-15’
Six numbers are packed into a date/time form.
With any of the two-input negative packing modes, either or both of
the inputs may be vectors. If both are vectors of the same length, the
result is another vector made by packing corresponding elements of the
input vectors. If one input is a vector and the other is a plain
number, the number is packed along with each vector element to produce a
new vector. For example, ‘C-u -4 v p’ could be used to convert a vector
of numbers and a vector of errors into a single vector of error forms;
‘C-u -5 v p’ could convert a vector of numbers and a single number M
into a vector of numbers modulo M.
If you don’t give a prefix argument to ‘v p’, it takes the packing
mode from the top of the stack. The elements to be packed then begin at
stack level 2. Thus ‘1 <RET> 2 <RET> 4 n v p’ is another way to enter
the error form ‘1 +/- 2’.
If the packing mode taken from the stack is a vector, the result is a
matrix with the dimensions specified by the elements of the vector,
which must each be integers. For example, if the packing mode is ‘[2,
3]’, then six numbers will be taken from the stack and returned in the
form ‘[[a, b, c], [d, e, f]]’.
If any elements of the vector are negative, other kinds of packing
are done at that level as described above. For example, ‘[2, 3, -4]’
takes 12 objects and creates a 2x3 matrix of error forms: ‘[[a +/- b, c
+/- d ... ]]’. Also, ‘[-4, -10]’ will convert four integers into an
error form consisting of two fractions: ‘a:b +/- c:d’.
There is an equivalent algebraic function, ‘pack(MODE, ITEMS)’ where
MODE is a packing mode (an integer or a vector of integers) and ITEMS is
a vector of objects to be packed (re-packed, really) according to that
mode. For example, ‘pack([3, -4], [a,b,c,d,e,f])’ yields ‘[a +/- b,
c +/- d, e +/- f]’. The function is left in symbolic form if the
packing mode is invalid, or if the number of data items does not match
the number of items required by the mode.
The ‘v u’ (‘calc-unpack’) command takes the vector, complex number,
HMS form, or other composite object on the top of the stack and
“unpacks” it, pushing each of its elements onto the stack as separate
objects. Thus, it is the “inverse” of ‘v p’. If the value at the top
of the stack is a formula, ‘v u’ unpacks it by pushing each of the
arguments of the top-level operator onto the stack.
You can optionally give a numeric prefix argument to ‘v u’ to specify
an explicit (un)packing mode. If the packing mode is negative and the
input is actually a vector or matrix, the result will be two or more
similar vectors or matrices of the elements. For example, given the
vector ‘[a +/- b, c^2, d +/- 7]’, the result of ‘C-u -4 v u’ will be the
two vectors ‘[a, c^2, d]’ and ‘[b, 0, 7]’.
Note that the prefix argument can have an effect even when the input
is not a vector. For example, if the input is the number -5, then ‘c-u
-1 v u’ yields -5 and 0 (the components of -5 when viewed as a
rectangular complex number); ‘C-u -2 v u’ yields 5 and 180 (assuming
Degrees mode); and ‘C-u -10 v u’ yields -5 and 1 (the numerator and
denominator of -5, viewed as a rational number). Plain ‘v u’ with this
input would complain that the input is not a composite object.
Unpacking mode -11 converts a float into an integer mantissa and an
integer exponent, where the mantissa is not divisible by 10 (except that
0.0 is represented by a mantissa and exponent of 0). Unpacking mode -12
converts a float into a floating-point mantissa and integer exponent,
where the mantissa (for non-zero numbers) is guaranteed to lie in the
range [1 .. 10). In both cases, the mantissa is shifted left or right
(and the exponent adjusted to compensate) in order to satisfy these
constraints.
Positive unpacking modes are treated differently than for ‘v p’. A
mode of 1 is much like plain ‘v u’ with no prefix argument, except that
in addition to the components of the input object, a suitable packing
mode to re-pack the object is also pushed. Thus, ‘C-u 1 v u’ followed
by ‘v p’ will re-build the original object.
A mode of 2 unpacks two levels of the object; the resulting
re-packing mode will be a vector of length 2. This might be used to
unpack a matrix, say, or a vector of error forms. Higher unpacking
modes unpack the input even more deeply.
There are two algebraic functions analogous to ‘v u’. The
‘unpack(MODE, ITEM)’ function unpacks the ITEM using the given MODE,
returning the result as a vector of components. Here the MODE must be
an integer, not a vector. For example, ‘unpack(-4, a +/- b)’ returns
‘[a, b]’, as does ‘unpack(1, a +/- b)’.
The ‘unpackt’ function is like ‘unpack’ but instead of returning a
simple vector of items, it returns a vector of two things: The mode, and
the vector of items. For example, ‘unpackt(1, 2:3 +/- 1:4)’ returns
‘[-4, [2:3, 1:4]]’, and ‘unpackt(2, 2:3 +/- 1:4)’ returns ‘[[-4, -10],
[2, 3, 1, 4]]’. The identity for re-building the original object is
‘apply(pack, unpackt(N, X)) = X’. (The ‘apply’ function builds a
function call given the function name and a vector of arguments.)
Subscript notation is a useful way to extract a particular part of an
object. For example, to get the numerator of a rational number, you can
use ‘unpack(-10, X)_1’.
Info Catalog
calc: Matrix Functions
calc: Matrix Functions
calc: Building Vectors