jmbr/incf-cl

A collection of convenience functions and macros for Common Lisp. Moved to https://git.sr.ht/~jmbr/incf-cl

(INCF CL)

Overview

The library (INCF CL) is a collection of convenience functions and macros for Common Lisp. The features it provides are:

• List comprehensions.
• Doctest suite for automatic verification of examples in docstrings.
• List manipulation functions similar to those in Haskell’s prelude.
• Nesting functions akin to those available in Mathematica.

This library is released under the X11 license and it has been tested with the following Common Lisp implementations:

• Armed Bear Common Lisp 1.6.0-dev
• Clozure Common Lisp 1.12-dev
• Embeddable Common Lisp 16.1.3
• Steel Bank Common Lisp 1.5.1.398

Usage

Installation

The easiest way to install (INCF CL) is to use Quicklisp:

(ql:quickload "incf-cl")

You may alternatively clone the source code repository by issuing the following command:

$ git clone https://github.com/jmbr/incf-cl.git

and then follow the ASDF installation procedure for your CL implementation.

Loading the library

To begin using the library, write:

(use-package :incf-cl)

Features

Ranges

The function RANGE is similar to MATLAB’s vector notation. Some use cases are:

CL-USER> (range 1 10)
(1 2 3 4 5 6 7 8 9 10)

CL-USER> (range 0 1/4 1)
(0 1/4 1/2 3/4 1)

List comprehensions

List comprehensions are a programming language construct that closely mimics the way you declare a set in mathematics and are sometimes more succinct and readable than a composition of MAPCAR and DELETE-IF or a loop.

Here are two examples of how to use the LC (short for List Comprehension) macro:

CL-USER> (lc (sin x) (<- x (range 0 .25 (/ pi 2))))
(0.0 0.24740396 0.47942555 0.6816388 0.84147096 0.9489846 0.997495)
CL-USER> (lc (cons x y) (<- x (range 0 2)) (<- y (range 0 2))
             (= (+ x y) 2))
((0 . 2) (1 . 1) (2 . 0))

Doctests

DOCTEST checks documentation strings for correctness. For every exported function in the package name passed to DOCTEST,

1. each docstring is scanned for pieces of text resembling interactive sessions,
2. then those snippets are evaluated,
3. and the resulting values are checked against the expected ones.

For example, consider the package TEST:

(defpackage :test
  (:use :common-lisp :incf-cl)
  (:export :factorial))

(in-package :test)

(defun factorial (n &optional (acc 1))
  "Returns the factorial of N, where N is an integer >= 0.

  Examples:

  TEST> (lc (factorial n) (<- n (range 1 5)))
  (1 2 6 24 120)

  TEST> (factorial 450/15)
  265252859812191058636308480000000

  TEST> (signals-p arithmetic-error (factorial -1))
  T

  TEST> (signals-p type-error (factorial 30.1))
  T

  TEST> (factorial 0)
  1"
  (declare (type integer n))

  (cond
    ((minusp n) (error 'arithmetic-error))
    ((/= n (floor n)) (error 'type-error)))

  (if (= n 0)
      acc
      (factorial (1- n) (* n acc))))

You can use DOCTEST to make sure the examples given in FACTORIAL’s documentation string work as expected by writing

CL-USER> (doctest :test)
.....
T

Or, equivalently,

CL-USER> (doctest 'test::factorial)
.....
T

Prelude

Some list manipulation functions patterned after Haskell’s prelude are available. Namely,

• BREAK*
• CYCLE (and its destructive version NCYCLE).
• DROP
• DROP-WHILE
• FLIP
• GROUP
• INSERT
• INTERSPERSE (and its destructive version NINTERSPERSE).
• PARTITION
• REPLICATE
• SCAN* (using the key parameters :INITIAL-VALUE and :FROM-END it works as scanl, scanl1, scanr, or scanr1)
• SPAN
• SPLIT-AT
• TAKE
• TAKE-WHILE
• UNZIP

The on-line documentation for each of them can be read using DESCRIBE (or M-x slime-describe-symbol in SLIME). See also A Tour of the Haskell Prelude by Bernie Pope for more information.

Since Common Lisp doesn’t guarantee tail call elimination, these functions are written iteratively to avoid stack overflows.

Nesting

The function NEST-LIST applies a function to an initial value, then applies the same function to the previous result, and so on. This stops after a specified number of evaluations or when a given predicate is true and a list containing all the results is returned.

NEST works as NEST-LIST but it only returns the last result, not the whole list.

Some examples:

CL-USER> (setf *print-circle* nil)
NIL
CL-USER> (nest-list (lambda (x) `(sin ,x)) 'z :max 3)
(Z (SIN Z) (SIN (SIN Z)) (SIN (SIN (SIN Z))))

CL-USER> (nest-list #'+ '(1 1) :max 10)
(1 1 2 3 5 8 13 21 34 55 89 144)

CL-USER> (nest #'+ '(1 1) :max 10)
144

CL-USER> (nest-list (lambda (x) (mod (* 2 x) 19))
                    2
                    :test (lambda (x) (/= x 1)))
(2 4 8 16 13 7 14 9 18 17 15 11 3 6 12 5 10 1)

The closely related function FIXED-POINT returns the fixed point of a function starting from an initial value. Whether a fixed point has been reached or not is determined by a test function (EQL by default).

For example, the square root of 2 using Newton’s method can be computed as:

CL-USER> (fixed-point (lambda (x)
                        (float (- x (/ (- (expt x 2) 2) (* 2 x)))))
                      1)
1.4142135

Unfolds

There’s an implementation of UNFOLD and UNFOLD-RIGHT as specified in SRFI 1: List library. Here’s an example of UNFOLD:

(defun euler (f x0 y0 interval h)
  "Computes an approximate solution of the initial value problem:

    y'(x) = f(x, y), x in interval;  y(x0) = y0

  using Euler's explicit method.  Interval is a list of two elements
  representing a closed interval.  The function returns a list of
  points and the values of the approximate solution at those points.

  For example,

  EULER> (euler (lambda (x y)
                  (declare (ignore y))
                  (- (sin x)))
                0 1 (list 0 (/ pi 2)) 0.5)
  ((0 1) (0.5 1.0) (1.0 0.7602872) (1.5 0.33955175))"
  (assert (<= (first interval) (second interval)))
  (unfold (lambda (x) (> (first x) (second interval)))
          #'identity
          (lambda (pair)
            (destructuring-bind (x y) pair
              (list (+ x h) (+ y (* h (funcall f x y))))))
          (list x0 y0)))

Functions

The function $ returns the composition of several functions. The following example illustrates its use:

CL-USER> (funcall ($ (lambda (x) (* x x))
                     (lambda (x) (+ x 2)))
                  2)
16

Hash table utilities

DOHASH iterates over a hash table with semantics similar to those of DOLIST:

CL-USER> (defparameter *hash-table* (make-hash-table))
*HASH-TABLE*
CL-USER> (setf (gethash "one" *hash-table*) 1)
1
CL-USER> (setf (gethash "two" *hash-table*) 2)
2
CL-USER> (setf (gethash "three" *hash-table*) 3)
3
CL-USER> (dohash (key value *hash-table*)
           (format t "~a => ~d~%" key value))
three => 3
two => 2
one => 1
NIL
CL-USER> (let ((product 1))
           (dohash (key value *hash-table* product)
             (setf product (* product value))))
6

Strings

STRING-JOIN glues together a list of strings placing a given separator between each string. By default, the separator is a space.

CL-USER> (string-join '("Hello" "world"))
"Hello world"
CL-USER> (string-join '("Hello" "world") ", ")
"Hello, world"

Feedback

Please use Github to send patches and bug reports.

incf-cl's Issues

Metadata for Quicklisp

Please consider adding :description, :author and :license information to your ASDF system(s). This will greatly help Quicklisp users and make it easier for them to report bugs.

More information:

http://blog.quicklisp.org/2015/05/looking-for-more-metadata.html
https://www.quicklisp.org