Calc standard resource files
----------------------------

To load a resource file, try:

    read filename

You do not need to add the .cal extension to the filename.  Calc
will search along the $CALCPATH (see ``help environment'').

Normally a resource file will simply define some functions.  By default,
most resource files will print out a short message when they are read.
For example:

    ; read lucas
    lucas(h,n) defined
    gen_u0(h,n,v1) defined
    gen_v1(h,n) defined
    ldebug(funct,str) defined

will cause calc to load and execute the 'lucas.cal' resource file.
Executing the resource file will cause several functions to be defined.
Executing the lucas function:

    ; lucas(149,60)
	    1
    ; lucas(146,61)
	    0

shows that 149*2^60-1 is prime whereas 146*2^61-1 is not.

=-=

Calc resource file files are provided because they serve as examples of
how use the calc language, and/or because the authors thought them to
be useful!

If you write something that you think is useful, please send it to:

    calc-contrib at asthe dot com

    [[ NOTE: Replace 'at' with @, 'dot' is with . and remove the spaces ]]
    [[ NOTE: The EMail address uses 'asthe' and the web site URL uses 'isthe' ]]

By convention, a resource file only defines and/or initializes functions,
objects and variables.	(The regress.cal and testxxx.cal regression test
suite is an exception.)	 Also by convention, an additional usage message
regarding important object and functions is printed.

If a resource file needs to load another resource file, it should use
the -once version of read:

    /* pull in needed resource files */
    read -once "surd"
    read -once "lucas"

This will cause the needed resource files to be read once.  If these
files have already been read, the read -once will act as a noop.

The "resource_debug" parameter is intended for controlling the possible
display of special information relating to functions, objects, and
other structures created by instructions in calc resource files.
Zero value of config("resource_debug") means that no such information
is displayed.  For other values, the non-zero bits which currently
have meanings are as follows:

    n		Meaning of bit n of config("resource_debug")

    0	When a function is defined, redefined or undefined at
	interactive level, a message saying what has been done
	is displayed.

    1	When a function is defined, redefined or undefined during
	the reading of a file, a message saying what has been done
	is displayed.

    2	Show func will display more information about a functions
	arguments as well as more argument summary information.

    3	During execution, allow calc standard resource files
	to output additional debugging information.

The value for config("resource_debug") in both oldstd and newstd is 3,
but if calc is invoked with the -d flag, its initial value is zero.
Thus, if calc is started without the -d flag, until config("resource_debug")
is changed, a message will be output when a function is defined
either interactively or during the reading of a file.

Sometimes the information printed is not enough.  In addition to the
standard information, one might want to print:

	* useful obj definitions
	* functions with optional args
	* functions with optional args where the param() interface is used

For these cases we suggest that you place at the bottom of your code
something that prints extra information if config("resource_debug") has
either of the bottom 2 bits set:

	if (config("resource_debug") & 3) {
		print "obj xyz defined";
		print "funcA([val1 [, val2]]) defined";
		print "funcB(size, mass, ...) defined";
	}

If your the resource file needs to output special debugging information,
we recommend that you check for bit 3 of the config("resource_debug")
before printing the debug statement:

	if (config("resource_debug") & 8) {
		print "DEBUG: This a sample debug statement";
	}

=-=

The following is a brief description of some of the calc resource files
that are shipped with calc.  See above for example of how to read in
and execute these files.

alg_config.cal

    global test_time
    mul_loop(repeat,x) defined
    mul_ratio(len) defined
    best_mul2() defined
    sq_loop(repeat,x) defined
    sq_ratio(len) defined
    best_sq2() defined
    pow_loop(repeat,x,ex) defined
    pow_ratio(len) defined
    best_pow2() defined

    These functions search for an optimal value of config("mul2"),
    config("sq2"), and config("pow2").  The calc default values of these
    configuration values were set by running this resource file on a
    1.8GHz AMD 32-bit CPU of ~3406 BogoMIPS.

    The best_mul2() function returns the optimal value of config("mul2").
    The best_sq2() function returns the optimal value of config("sq2").
    The best_pow2() function returns the optimal value of config("pow2").
    The other functions are just support functions.

    By design, best_mul2(), best_sq2(), and best_pow2() take a few
    minutes to run.  These functions increase the number of times a
    given computational loop is executed until a minimum amount of CPU
    time is consumed.  To watch these functions progress, one can set
    the config("user_debug") value.

    Here is a suggested way to use this resource file:

	; read alg_config
	; config("user_debug",2),;
	; best_mul2(); best_sq2(); best_pow2();
	; best_mul2(); best_sq2(); best_pow2();
	; best_mul2(); best_sq2(); best_pow2();

    NOTE: It is perfectly normal for the optimal value returned to differ
    slightly from run to run.  Slight variations due to inaccuracy in
    CPU timings will cause the best value returned to differ slightly
    from run to run.

    One can use a calc startup file to change the initial values of
    config("mul2"), config("sq2"), and config("pow2").  For example one
    can place into ~/.calcrc these lines:

	config("mul2", 1780),;
	config("sq2", 3388),;
	config("pow2", 176),;

    to automatically and silently change these config values.
    See help/config and CALCRC in help/environment for more information.


beer.cal

    Calc's contribution to the 99 Bottles of Beer web page:

	http://www.ionet.net/~timtroyr/funhouse/beer.html#calc

     NOTE: This resource produces a lot of output.  :-)


bernoulli.cal

    B(n)

    Calculate the nth Bernoulli number.

    NOTE: There is now a bernoulli() builtin function.  This file is
    	  left here for backward compatibility and now simply returns
	  the builtin function.


bigprime.cal

    bigprime(a, m, p)

    A prime test, base a, on p*2^x+1 for even x>m.


chi.cal

    Z(x[, eps])
    P(x[, eps])
    chi_prob(chi_sq, v[, eps])

    Computes the Probability, given the Null Hypothesis, that a given
    Chi squared values >= chi_sq with v degrees of freedom.

    The chi_prob() function does not work well with odd degrees of freedom.
    It is reasonable with even degrees of freedom, although one must give
    a sufficiently small error term as the degrees gets large (>100).

    The Z(x) and P(x) are internal statistical functions.

    eps is an optional epsilon() like error term.


chrem.cal

    chrem(r1,m1 [,r2,m2, ...])
    chrem(rlist, mlist)

    Chinese remainder theorem/problem solver.


deg.cal

    dms(deg, min, sec)
    dms_add(a, b)
    dms_neg(a)
    dms_sub(a, b)
    dms_mul(a, b)
    dms_print(a)

    Calculate in degrees, minutes, and seconds.


dotest.cal

    dotest(dotest_file [,dotest_code [,dotest_maxcond]])

    dotest_file

	Search along CALCPATH for dotest_file, which contains lines that
	should evaluate to 1.  Comment lines and empty lines are ignored.
	Comment lines should use ## instead of the multi like /* ... */
	because lines are evaluated one line at a time.

    dotest_code

	Assign the code number that is to be printed at the start of
	each non-error line and after **** in each error line.
	The default code number is 999.

    dotest_maxcond

	The maximum number of error conditions that may be detected.
	An error condition is not a sign of a problem, in some cases
	a line deliberately forces an error condition.	A value of -1,
	the default, implies a maximum of 2147483647.

    Global variables and functions must be declared ahead of time because
    the dotest scope of evaluation is a line at a time.  For example:

	read dotest.cal
	read set8700.cal
	dotest("set8700.line");


ellip.cal

    efactor(iN, ia, B, force)

    Attempt to factor using the elliptic functions: y^2 = x^3 + a*x + b.


hello.cal

    Calc's contribution to the Hello World! page:

	http://www.latech.edu/~acm/HelloWorld.shtml
	http://www.latech.edu/~acm/helloworld/calc.html

     NOTE: This resource produces a lot of output.  :-)


intfile.cal

    file2be(filename)

	Read filename and return an integer that is built from the
	octets in that file in Big Endian order.  The first octets
	of the file become the most significant bits of the integer.

    file2le(filename)

	Read filename and return an integer that is built from the
	octets in that file in Little Endian order.  The first octets
	of the file become the most significant bits of the integer.

    be2file(v, filename)

	Write the absolute value of v into filename in Big Endian order.
	The v argument must be on integer.  The most significant bits
	of the integer become the first octets of the file.

    le2file(v, filename)

	Write the absolute value of v into filename in Little Endian order.
	The v argument must be on integer.  The least significant bits
	of the integer become the last octets of the file.


linear.cal

    linear(x0, y0, x1, y1, x)

    Returns the value y such that (x,y) in on the line (x0,y0), (x1,y1).
    Requires x0 != y0.


lucas.cal

    lucas(h, n)

    Perform a primality test of h*2^n-1, with 1<=h<2*n.


lucas_chk.cal

    lucas_chk(high_n)

    Test all primes of the form h*2^n-1, with 1<=h<200 and n <= high_n.
    Requires lucas.cal to be loaded.  The highest useful high_n is 1000.

    Used by regress.cal during the 2100 test set.


lucas_tbl.cal

    Lucasian criteria for primality tables.


mersenne.cal

    mersenne(p)

    Perform a primality test of 2^p-1, for prime p>1.


mfactor.cal

    mfactor(n [, start_k=1 [, rept_loop=10000 [, p_elim=17]]])

    Return the lowest factor of 2^n-1, for n > 0.  Starts looking for factors
    at 2*start_k*n+1.  Skips values that are multiples of primes <= p_elim.
    By default, start_k == 1, rept_loop = 10000 and p_elim = 17.

    The p_elim == 17 overhead takes ~3 minutes on an 200 Mhz r4k CPU and
    requires about ~13 Megs of memory.	The p_elim == 13 overhead
    takes about 3 seconds and requires ~1.5 Megs of memory.

    The value p_elim == 17 is best for long factorizations.  It is the
    fastest even thought the initial startup overhead is larger than
    for p_elim == 13.

mod.cal

    lmod(a)
    mod_print(a)
    mod_one()
    mod_cmp(a, b)
    mod_rel(a, b)
    mod_add(a, b)
    mod_sub(a, b)
    mod_neg(a)
    mod_mul(a, b)
    mod_square(a)
    mod_inc(a)
    mod_dec(a)
    mod_inv(a)
    mod_div(a, b)
    mod_pow(a, b)

    Routines to handle numbers modulo a specified number.


natnumset.cal

    isset(a)
    setbound(n)
    empty()
    full()
    isin(a, b)
    addmember(a, n)
    rmmember(a, n)
    set()
    mkset(s)
    primes(a, b)
    set_max(a)
    set_min(a)
    set_not(a)
    set_cmp(a, b)
    set_rel(a, b)
    set_or(a, b)
    set_and(a, b)
    set_comp(a)
    set_setminus(a, b)
    set_diff(a,b)
    set_content(a)
    set_add(a, b)
    set_sub(a, b)
    set_mul(a, b)
    set_square(a)
    set_pow(a, n)
    set_sum(a)
    set_plus(a)
    interval(a, b)
    isinterval(a)
    set_mod(a, b)
    randset(n, a, b)
    polyvals(L, A)
    polyvals2(L, A, B)
    set_print(a)

    Demonstration of how the string operators and functions may be used
    for defining and working with sets of natural numbers not exceeding a
    user-specified bound.


pell.cal

    pellx(D)
    pell(D)

    Solve Pell's equation; Returns the solution X to: X^2 - D * Y^2 = 1.
    Type the solution to Pell's equation for a particular D.


pi.cal

    qpi(epsilon)
    piforever()

    The qpi() calculate pi within the specified epsilon using the quartic
    convergence iteration.

    The piforever() prints digits of pi, nicely formatted, for as long
    as your free memory space and system up time allows.

    The piforever() function (written by Klaus Alexander Seistrup
    <klaus@seistrup.dk>) was inspired by an algorithm conceived by
    Lambert Meertens.  See also the ABC Programmer's Handbook, by Geurts,
    Meertens & Pemberton, published by Prentice-Hall (UK) Ltd., 1990.

pix.cal

    pi_of_x(x)

    Calculate the number of primes < x using A(n+1)=A(n-1)+A(n-2).  This
    is a SLOW painful method ... the builtin pix(x) is much faster.
    Still, this method is interesting.


pollard.cal

    pfactor(N, N, ai, af)

    Factor using Pollard's p-1 method.


poly.cal

    Calculate with polynomials of one variable.	 There are many functions.
    Read the documentation in the resource file.


prompt.cal

    adder()
    showvalues(str)

    Demonstration of some uses of prompt() and eval().


psqrt.cal

    psqrt(u, p)

    Calculate square roots modulo a prime


qtime.cal

    qtime(utc_hr_offset)

    Print the time as English sentence given the hours offset from UTC.


quat.cal

    quat(a, b, c, d)
    quat_print(a)
    quat_norm(a)
    quat_abs(a, e)
    quat_conj(a)
    quat_add(a, b)
    quat_sub(a, b)
    quat_inc(a)
    quat_dec(a)
    quat_neg(a)
    quat_mul(a, b)
    quat_div(a, b)
    quat_inv(a)
    quat_scale(a, b)
    quat_shift(a, b)

    Calculate using quaternions of the form: a + bi + cj + dk.	In these
    functions, quaternions are manipulated in the form: s + v, where
    s is a scalar and v is a vector of size 3.


randbitrun.cal

    randbitrun([run_cnt])

    Using randbit(1) to generate a sequence of random bits, determine if
    the number and length of identical bits runs match what is expected.
    By default, run_cnt is to test the next 65536 random values.

    This tests the a55 generator.


randmprime.cal

    randmprime(bits, seed [,dbg])

    Find a prime of the form h*2^n-1 >= 2^bits for some given x.  The initial
    search points for 'h' and 'n' are selected by a cryptographic pseudo-random
    number generator.  The optional argument, dbg, if set to 1, 2 or 3
    turn on various debugging print statements.


randombitrun.cal

    randombitrun([run_cnt])

    Using randombit(1) to generate a sequence of random bits, determine if
    the number and length of identical bits runs match what is expected.
    By default, run_cnt is to test the next 65536 random values.

    This tests the Blum-Blum-Shub generator.


randomrun.cal

    randomrun([run_cnt])

    Perform the "G. Run test" (pp. 65-68) as found in Knuth's "Art of
    Computer Programming - 2nd edition", Volume 2, Section 3.3.2 on
    the builtin rand() function.  This function will generate run_cnt
    64 bit values.  By default, run_cnt is to test the next 65536
    random values.

    This tests the Blum-Blum-Shub generator.


randrun.cal

    randrun([run_cnt])

    Perform the "G. Run test" (pp. 65-68) as found in Knuth's "Art of
    Computer Programming - 2nd edition", Volume 2, Section 3.3.2 on
    the builtin rand() function.  This function will generate run_cnt
    64 bit values.  By default, run_cnt is to test the next 65536
    random values.

    This tests the a55 generator.

repeat.cal

    repeat(digit_set, repeat_count)

    Return the value of the digit_set repeated repeat_count times.
    Both digit_set and repeat_count must be integers > 0.

    For example repeat(423,5) returns the value 423423423423423,
    which is the digit_set 423 repeated 5 times.


regress.cal

    Test the correct execution of the calculator by reading this resource file.
    Errors are reported with '****' messages, or worse. :-)


screen.cal

    up
    CUU	/* same as up */
    down = CUD
    CUD	/* same as down */
    forward
    CUF	/* same as forward */
    back = CUB
    CUB	/* same as back */
    save
    SCP	/* same as save */
    restore
    RCP	/* same as restore */
    cls
    home
    eraseline
    off
    bold
    faint
    italic
    blink
    rapidblink
    reverse
    concealed
    /* Lowercase indicates foreground, uppercase background */
    black
    red
    green
    yellow
    blue
    magenta
    cyan
    white
    Black
    Red
    Green
    Yellow
    Blue
    Magenta
    Cyan
    White

    Define ANSI control sequences providing (i.e., cursor movement, changing
    foreground or background color, etc.) for VT100 terminals and terminal
    window emulators (i.e., xterm, Apple OS/X Terminal, etc.) that support them.

    For example:

	read screen
	print green:"This is green. ":red:"This is red.":black

seedrandom.cal

    seedrandom(seed1, seed2, bitsize [,trials])

    Given:
	seed1 - a large random value (at least 10^20 and perhaps < 10^93)
	seed2 - a large random value (at least 10^20 and perhaps < 10^93)
	size - min Blum modulus as a power of 2 (at least 100, perhaps > 1024)
	trials - number of ptest() trials (default 25) (optional arg)

    Returns:
	the previous random state

    Seed the cryptographically strong Blum generator.  This functions allows
    one to use the raw srandom() without the burden of finding appropriate
    Blum primes for the modulus.


set8700.cal

    set8700_getA1() defined
    set8700_getA2() defined
    set8700_getvar() defined
    set8700_f(set8700_x) defined
    set8700_g(set8700_x) defined

    Declare globals and define functions needed by dotest() (see
    dotest.cal) to evaluate set8700.line a line at a time.


set8700.line

    A line-by-line evaluation file for dotest() (see dotest.cal).
    The set8700.cal file (and dotest.cal) should be read first.


solve.cal

    solve(low, high, epsilon)

    Solve the equation f(x) = 0 to within the desired error value for x.
    The function 'f' must be defined outside of this routine, and the low
    and high values are guesses which must produce values with opposite signs.


sumsq.cal

    ss(p)

    Determine the unique two positive integers whose squares sum to the
    specified prime.  This is always possible for all primes of the form
    4N+1, and always impossible for primes of the form 4N-1.


sumtimes.cal

    timematsum(N)
    timelistsum(N)
    timematsort(N)
    timelistsort(N)
    timematreverse(N)
    timelistreverse(N)
    timematssq(N)
    timelistssq(N)
    timehmean(N,M)
    doalltimes(N)

    Give the user CPU time for various ways of evaluating sums, sums of
    squares, etc, for large lists and matrices.  N is the size of
    the list or matrix to use.  The doalltimes() function will run
    all fo the sumtimes tests.  For example:

    	doalltimes(1e6);


surd.cal

    surd(a, b)
    surd_print(a)
    surd_conj(a)
    surd_norm(a)
    surd_value(a, xepsilon)
    surd_add(a, b)
    surd_sub(a, b)
    surd_inc(a)
    surd_dec(a)
    surd_neg(a)
    surd_mul(a, b)
    surd_square(a)
    surd_scale(a, b)
    surd_shift(a, b)
    surd_div(a, b)
    surd_inv(a)
    surd_sgn(a)
    surd_cmp(a, b)
    surd_rel(a, b)

    Calculate using quadratic surds of the form: a + b * sqrt(D).


test1700.cal

    value

    This resource files is used by regress.cal to test the read and use keywords.


test2600.cal

    global defaultverbose
    global err
    testismult(str, n, verbose)
    testsqrt(str, n, eps, verbose)
    testexp(str, n, eps, verbose)
    testln(str, n, eps, verbose)
    testpower(str, n, b, eps, verbose)
    testgcd(str, n, verbose)
    cpow(x, n, eps)
    cexp(x, eps)
    cln(x, eps)
    mkreal()
    mkcomplex()
    mkbigreal()
    mksmallreal()
    testappr(str, n, verbose)
    checkappr(x, y, z, verbose)
    checkresult(x, y, z, a)
    test2600(verbose, tnum)

    This resource files is used by regress.cal to test some of builtin functions
    in terms of accuracy and roundoff.


test2700.cal

    global defaultverbose
    mknonnegreal()
    mkposreal()
    mkreal_2700()
    mknonzeroreal()
    mkposfrac()
    mkfrac()
    mksquarereal()
    mknonsquarereal()
    mkcomplex_2700()
    testcsqrt(str, n, verbose)
    checksqrt(x, y, z, v)
    checkavrem(A, B, X, eps)
    checkrounding(s, n, t, u, z)
    iscomsq(x)
    test2700(verbose, tnum)

    This resource files is used by regress.cal to test sqrt() for real and
    complex values.


test3100.cal

    obj res
    global md
    res_test(a)
    res_sub(a, b)
    res_mul(a, b)
    res_neg(a)
    res_inv(a)
    res(x)

    This resource file is used by regress.cal to test determinants of a matrix


test3300.cal

    global defaultverbose
    global err
    testi(str, n, N, verbose)
    testr(str, n, N, verbose)
    test3300(verbose, tnum)

    This resource file is used by regress.cal to provide for more determinant
    tests.

test3400.cal

    global defaultverbose
    global err
    test1(str, n, eps, verbose)
    test2(str, n, eps, verbose)
    test3(str, n, eps, verbose)
    test4(str, n, eps, verbose)
    test5(str, n, eps, verbose)
    test6(str, n, eps, verbose)
    test3400(verbose, tnum)

    This resource file is used by regress.cal to test trig functions.
    containing objects.

test3500.cal

    global defaultverbose
    global err
    testfrem(x, y, verbose)
    testgcdrem(x, y, verbose)
    testf(str, n, verbose)
    testg(str, n, verbose)
    testh(str, n, N, verbose)
    test3500(verbose, n, N)

    This resource file is used by regress.cal to test the functions frem,
    fcnt, gcdrem.

test4000.cal

    global defaultverbose
    global err
    global BASEB
    global BASE
    global COUNT
    global SKIP
    global RESIDUE
    global MODULUS
    global K1
    global H1
    global K2
    global H2
    global K3
    global H3
    plen(N) defined
    rlen(N) defined
    clen(N) defined
    ptimes(str, N, n, count, skip, verbose) defined
    ctimes(str, N, n, count, skip, verbose) defined
    crtimes(str, a, b, n, count, skip, verbose) defined
    ntimes(str, N, n, count, skip, residue, mod, verbose) defined
    testnextcand(str, N, n, cnt, skip, res, mod, verbose) defined
    testnext1(x, y, count, skip, residue, modulus) defined
    testprevcand(str, N, n, cnt, skip, res, mod, verbose) defined
    testprev1(x, y, count, skip, residue, modulus) defined
    test4000(verbose, tnum) defined

    This resource file is used by regress.cal to test ptest, nextcand and
    prevcand builtins.

test4100.cal

    global defaultverbose
    global err
    global K1
    global K2
    global BASEB
    global BASE
    rlen_4100(N) defined
    olen(N) defined
    test1(x, y, m, k, z1, z2) defined
    testall(str, n, N, M, verbose) defined
    times(str, N, n, verbose) defined
    powtimes(str, N1, N2, n, verbose) defined
    inittimes(str, N, n, verbose) defined
    test4100(verbose, tnum) defined

    This resource file is used by regress.cal to test REDC operations.

test4600.cal

    stest(str [, verbose]) defined
    ttest([m, [n [,verbose]]]) defined
    sprint(x) defined
    findline(f,s) defined
    findlineold(f,s) defined
    test4600(verbose, tnum) defined

    This resource file is used by regress.cal to test searching in files.

test5100.cal

    global a5100
    global b5100
    test5100(x) defined

    This resource file is used by regress.cal to test the new code generator
    declaration scope and order.

test5200.cal

    global a5200
    static a5200
    f5200(x) defined
    g5200(x) defined
    h5200(x) defined

    This resource file is used by regress.cal to test the fix of a
    global/static bug.

test8400.cal

    test8400() defined

    This resource file is used by regress.cal to check for quit-based
    memory leaks.

test8500.cal

    global err_8500
    global L_8500
    global ver_8500
    global old_seed_8500
    global cfg_8500
    onetest_8500(a,b,rnd) defined
    divmod_8500(N, M1, M2, testnum) defined

    This resource file is used by regress.cal to the // and % operators.

test8600.cal

    global min_8600
    global max_8600
    global hash_8600
    global hmean_8600

    This resource file is used by regress.cal to test a change of
    allowing up to 1024 args to be passed to a builtin function.

unitfrac.cal

    unitfrac(x)

    Represent a fraction as sum of distinct unit fractions.


varargs.cal

    sc(a, b, ...)

    Example program to use 'varargs'.  Program to sum the cubes of all
    the specified numbers.

xx_print.cal

    is_octet(a) defined
    list_print(a) defined
    mat_print (a) defined
    octet_print(a) defined
    blk_print(a) defined
    nblk_print (a) defined
    strchar(a) defined
    file_print(a) defined
    error_print(a) defined

    Demo for the xx_print object routines.

## Copyright (C) 2000  David I. Bell and Landon Curt Noll
##
## Primary author: Landon Curt Noll
##
## Calc is open software; you can redistribute it and/or modify it under
## the terms of the version 2.1 of the GNU Lesser General Public License
## as published by the Free Software Foundation.
##
## Calc is distributed in the hope that it will be useful, but WITHOUT
## ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
## or FITNESS FOR A PARTICULAR PURPOSE.	 See the GNU Lesser General
## Public License for more details.
##
## A copy of version 2.1 of the GNU Lesser General Public License is
## distributed with calc under the filename COPYING-LGPL.  You should have
## received a copy with calc; if not, write to Free Software Foundation, Inc.
## 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301, USA.
##
## @(#) $Revision: 30.1 $
## @(#) $Id: README,v 30.1 2007/03/16 11:09:54 chongo Exp $
## @(#) $Source: /usr/local/src/cmd/calc/cal/RCS/README,v $
##
## Under source code control:	1990/02/15 01:50:32
## File existed as early as:	before 1990
##
## chongo <was here> /\oo/\	http://www.isthe.com/chongo/
## Share and enjoy!  :-)	http://www.isthe.com/chongo/tech/comp/calc/
