giacpy 0.6.8

A Cython frontend to the c++ library giac. (Computer Algebra System)

Name:

giacpy

Summary:

A Cython frontend to the c++ library giac. (Computer Algebra System)

Author:

Frederic Han

Author-email:

[e-mail]

Copyright:

2012 Frederic Han

License:

GPL v2 or above

Home-page:

https://www.imj-prg.fr/~frederic.han/xcas/giacpy/

Access from python to the Computer Algebra System giac via libgiac

Introduction

This is an interface to be able to use from Python the Giac features.

• Giac is a general purpose Computer algebra system by Bernard Parisse released under GPLv3.

  • http://www-fourier.ujf-grenoble.fr/~parisse/giac.html

  • It is build on C and C++ libraries: PARI, NTL (arithmetic), CoCoA (Groebner basis), GSL (numerics), GMP (big integers), MPFR (bigfloats)

  • It provides (fast) algorithms for multivariate polynomial operations (product, GCD, factorisation) and

  • symbolic computations: solver, simplifications, limits/series, integration, sommation…

  • Linear Algebra with numerical or symbolic coefficients.

• giacpy is an interface to this library. It is built with cython. Graphic output is obtained with qcas by Loic Lecoq: http://git.tuxfamily.org/qcas/qcas.git

Short Usage

Example:

>>> import giacpy  # outputs various messages
Help file ... aide_cas not found
Added 0 synonyms
>>> giacpy.ifactor(2**128+1)
59649589127497217*5704689200685129054721
>>> from giacpy import giac
>>> x,y,z=giac('x,y,z')
>>> f=(x+y+z+1)**15+1
>>> g=(f*(f+1)).normal()
>>> print g.nops()
>>> print g.factor().nops()
>>> f.diff()

Help:

>>> help("giacpy")
>>> from giacpy import normal
>>> print(normal.__doc__) ; # to have help on some giac keyword
>>> solve.htmlhelp('fr') ; # (may be not avaible on your system) to have detailled help on some giac keyword
>>> htmlhelp()  ; # to have help the global help pages.


* Graphics 2D Output: (cf. help('giacpy') for examples)
 If your version of giacpy has qt support, you can send graphics to qcas with the .qcas() method. For experimental interactive geometry see: help(qcas)

Install

• To build the extension from sources (unix):

  • You need the giac library, gmp and python headers. Ex: giac, libgmp-dev python-dev

  • Then execute the command: python setup.py build_ext (or try the: make or make local)

  • If you need some options see: python setup.py build_ext –help

  • To install giacpy on unix (needs libgiac): python setup.py install

• For binaries of giacpy: http://webusers.imj-prg.fr/~frederic.han/xcas/giacpy/

• To run tests you can try: make test or run: python -m doctest giacpy.pyx -v (in the directory of giapy.so if it is not installed)

Short Tutorial on the giac function

This function evaluate a python object with the giac library.

• It creates in python a Pygen element and evaluate it with giac:

>>> from giacpy import giac,pi
>>> x,y=giac('x,y');type(x)
<type 'giacpy.Pygen'>
>>> (x+2*y).cos().texpand()
cos(x)*(2*cos(y)**2-1)-sin(x)*2*cos(y)*sin(y)

Coercion, Pygen and internal giac variables:

• The most usefull objects will be the Python object of type Pygen.

>>> from giacpy import *
>>> x,y,z=giac('x,y,z')
>>> f=sum([x[i] for i in range(5)])**15/(y+z);f.coeff(x[0],12)
(455*(x[1])**3+1365*(x[1])**2*x[2]+1365*(x[1])**2*x[3]+1365*(x[1])**2*x[4]+1365*x[1]*(x[2])**2+2730*x[1]*x[2]*x[3]+2730*x[1]*x[2]*x[4]+1365*x[1]*(x[3])**2+2730*x[1]*x[3]*x[4]+1365*x[1]*(x[4])**2+455*(x[2])**3+1365*(x[2])**2*x[3]+1365*(x[2])**2*x[4]+1365*x[2]*(x[3])**2+2730*x[2]*x[3]*x[4]+1365*x[2]*(x[4])**2+455*(x[3])**3+1365*(x[3])**2*x[4]+1365*x[3]*(x[4])**2+455*(x[4])**3)/(y+z)

• The Python object y of type Pygen is not an internal giac variable. (Most of the time you won’t need to use internal giac variables).

>>> type(y);giac('y:=1');y
<type 'giacpy.Pygen'>
1
y

• There are some natural coercion to Pygen elements:

>>> pi>3.14 ; pi >3.15 ; giac(3)==3
True
False
True

Lists of Pygen and Giac lists:

• Here l1 is a giac list and l2 a python list of Pygen type objects.

>>> l1=giac(range(10)); l2=[1/(i**2+1) for i in l1]
>>> sum(l2)
33054527/16762850

So l1+l1 is done in giac and means a vector addition. But l2+l2 is done in Python so it is the list concatenation.

>>> l1+l1
[0,2,4,6,8,10,12,14,16,18]
>>> l2+l2
[1, 1/2, 1/5, 1/10, 1/17, 1/26, 1/37, 1/50, 1/65, 1/82, 1, 1/2, 1/5, 1/10, 1/17, 1/26, 1/37, 1/50, 1/65, 1/82]

• Here V is not a Pygen element. We need to push it to giac to use a giac method like dim, or we need to use an imported function.

>>> V=[ [x[i]**j for i in range(9)] for j in range(9)]
>>> giac(V).dim()
[9,9]
>>> det_minor(V).factor()
(x[7]-(x[8]))*(x[6]-(x[8]))*(x[6]-(x[7]))*(x[5]-(x[8]))*(x[5]-(x[7]))*(x[5]-(x[6]))*(x[4]-(x[8]))*(x[4]-(x[7]))*(x[4]-(x[6]))*(x[4]-(x[5]))*(x[3]-(x[8]))*(x[3]-(x[7]))*(x[3]-(x[6]))*(x[3]-(x[5]))*(x[3]-(x[4]))*(x[2]-(x[8]))*(x[2]-(x[7]))*(x[2]-(x[6]))*(x[2]-(x[5]))*(x[2]-(x[4]))*(x[2]-(x[3]))*(x[1]-(x[8]))*(x[1]-(x[7]))*(x[1]-(x[6]))*(x[1]-(x[5]))*(x[1]-(x[4]))*(x[1]-(x[3]))*(x[1]-(x[2]))*(x[0]-(x[8]))*(x[0]-(x[7]))*(x[0]-(x[6]))*(x[0]-(x[5]))*(x[0]-(x[4]))*(x[0]-(x[3]))*(x[0]-(x[2]))*(x[0]-(x[1]))

• Modular objects with %

>>> V=ranm(5,5) % 2;
>>> ker(V).rowdim()+V.rank()
5
>>> a=giac(7)%3;a;a%0;7%3
1 % 3
1
1

Do not confuse with the full python integers:

>>> type(7%3);type(a)
<type 'int'>
<type 'giacpy.Pygen'>

Syntaxes with reserved or unknown Python symbols:

• In general equations needs symbols such as = < > or that have another meaning in Python. So those objects must be quoted.

>>> from giacpy import *
>>> x=giac('x')
>>> (1+2*sin(3*x)).solve(x)
list[-pi/3/6,7*pi/18]

>>> solve('sin(3*x)>2*sin(x)',x)
Traceback (most recent call last):
...
RuntimeError: Unable to find numeric values solving equation. For trigonometric equations this may be solved using assumptions, e.g. assume(x>-pi && x<pi) Error: Bad Argument Value

• You can also add some hypothesis to a giac symbol:

>>> assume('x>-pi && x<pi')
x
>>> solve('sin(3*x)>2*sin(x)',x)
list[((x>((-5*pi)/6)) and (x<((-pi)/6))),((x>0) and (x<(pi/6))),((x>(5*pi/6)) and (x<pi))]

• To remove those hypothesis use the giac function: purge

>>> purge('x')
assume[[],[line[-pi,pi]],[-pi,pi]]
>>> solve('x>0')
list[x>0]

• Same problems with the ..

>>> from giacpy import *
>>> x=giac('x')
>>> f=1/(5+cos(4*x));f.int(x)
1/2/(2*sqrt(6))*(atan(2*tan(4*x/2)/sqrt(6))+pi*floor(4*x/2/pi+1/2))
>>> fMax(f,'x=-0..pi').simplify()
pi/4,3*pi/4
>>> fMax.help()
"Returns the abscissa of the maximum of the expression.
Expr,[Var]
fMax(-x^2+2*x+1,x)
fMin"
>>> sum(1/(1+x**2),'x=0..infinity').simplify()
(pi*exp(pi)**2+pi+exp(pi)**2-1)/(2*exp(pi)**2-2)

Changelog

• Version 0.2:

  • Add a comparison function to Pygen. (with coersion)

  • Add a basic definition for most giac functions.

  • Add some help.

• Version 0.2.1:

  • Add __neg__ and __pos__ support for Pygen. (Ex: -pi)

  • Change __repr__ to hide too long outputs.

  • Make ** be the default printing for powers in giac.

• Version 0.2.2:

  • Change Pygen() to Pygen(‘NULL’). (Ex: rand())

  • Add direct acces to the python double value of a Pygen: a._double

  • Add conversion to giac modulars via the operator %

  • Add ctrl-c support during list initialisation and iteration

  • Modification of __getitem__ to allow formal variables with indexes.

  • Add htmlhelp method for Pygen objects.

  • Improve the giac initialisation of Python long integers. (basic Horner method instead of strings)

  • Improve help(giac) and doctests

  • Add support for the slice notation with giac lists

• Version 0.2.3:

  • Fix Pygen() None initialisation. Add crash test and improve speed in _wrap_gen

  • Add a small Makefile

  • Add a GiacSettings class with some frontends to the cas settings.

  • Add French keywords

• Version 0.2.4:

  • Update giac 1.1 keywords.

• Version 0.3:

  • Add a qt output for 2d graphics via qcas.

  • Fixes for giac 1.1

• Version 0.4:

  • Fixes for Python 3 compatibility

  • Qt/qcas can be disabled at compilation. (cf setup.py)

  • 0.4.1:

    • add some giac keywords.

    • add proba_epsilon in GiacSetting.

    • test if the html doc is present locally, otherwise open the web doc.

  • 0.4.2:

    • add digits and epsilon in GiacSetting.

    • Fix for interruptions of giac operators.

    • Put all the GiacKeywords in a new class: GiacFunction to enable docstrings from giac.

  • 0.4.3:

    • Update qcas to current version. (svg export added)

    • New evaluation with threads to have better interruptions.

  • 0.4.4:

    • Add sqrt and complex flags in giac settings.

    • Add support for multi indexes. Ex A[1,2].

• Version 0.5:

  • 0.5.0:

    • Put all the Qt/Graphics functions in an independant submodule

    • Add a save method for Pygen and a loadgiacgen function.

  • 0.5.2:

    • Update keywords and clean __init__.py docstring

  • 0.5.3:

    • improve setup.py for mingw built

  • 0.5.4:

    • update giac.dll windows binary to giac 1.2.3-57 with subsop patch and rowreduction-R55929 patch

    • post1: update win64 giac.dll to fix: interface with pari; matrix mul for integers

• Version 0.6:

  • 0.6.0:

    • add a __setitem__ for Pygen elements. Ex: A[1,2]=3

    • add Linear algebra tutorial in the giac docstring.

  • 0.6.1:

    • update giac keywords.

  • 0.6.2:

    • add _repr_html_ and _repr_latex_ for jupyter output

    • rebuild giac.dll without ntl.

  • 0.6.3:

    • fix for randseed, srand

    • update keywords

    • remove qcas from tree; libqcas

  • 0.6.4:

    • try to guess qt install from qmake

    • upgrade giac.dll to 1.4.9.43

    • fix keywords update

  • 0.6.5:

    • Add GPL-2 in MANIFEST.in

  • 0.6.6:

    • disable include_package_data in setup.py to not install .cpp files and remove from install directory other source files that are not needed by python nor by cython users.

    • windows rebuilt with giac-1.4.9-45 with NTL enabled

  • 0.6.7:

    • udapte keywords for giac 1.5.0

    • update windows built with giac-1.5.0-3 with NTL+glpk+nauty enabled

  • 0.6.8:

    • udapte keywords for giac 1.5.0.53

    • update windows built with giac-1.5.0-49