Mailman 3 May 2000 - NumPy-Discussion

RE: [Numpy-discussion] HTML/SGML docs
by Hassan Aurag 09 May '00

09 May '00

Ok, I am looking at suggestions. I have already looked at another NumPy doc that looks like Python online docs. What I really would like to do is have: -A way of retrieving from a stable web page the TOC of documentation that I'd then put in a custom gnome-tree-like widget and when the user clicks on one item it'd open a link to online corresponding page. -An entry widget that'd have a search item that look in index of docs (online) and return all possible choices then when user chooses one show the corresponding page. -A bookmarking facility so that users can go back quickly to places they have seen. -The choice to download the whole .tar.gz thing to browse off-line. All of the above is easy to implement, and I have already started doing so with GMatH (http://gmath.sourceforge.net), provided there is a known stable place where to look for these docs. I already have a place to look for, but I forgot the address. All I need is some nifty .py thing that'd fetch the TOC, and index (from web site) and search through that index. I am not very good with urllib or httpblib, so any help is welcome. Thanks > From: "Paul F. Dubois" <pauldubois(a)home.com> > To: "Hassan Aurag" <aurag(a)CRM.UMontreal.CA>, <numpy-discussion(a)lists.sourceforge.net> > Subject: RE: [Numpy-discussion] HTML/SGML docs > Date: Tue, 9 May 2000 07:33:04 -0700 > MIME-Version: 1.0 > Content-Transfer-Encoding: 7bit > X-Priority: 3 (Normal) > X-MSMail-Priority: Normal > Importance: Normal > X-MimeOLE: Produced By Microsoft MimeOLE V5.00.2615.200 > > The document source is Framemaker, which can produce HTML and PDF. > > It would be best to have an collaborative framework such as the Zope one > recently announced, if it works well; I haven't tried that yet. > > > > > -----Original Message----- > > From: numpy-discussion-admin(a)lists.sourceforge.net > > [mailto:numpy-discussion-admin@lists.sourceforge.net]On Behalf Of Hassan > > Aurag > > Sent: Monday, May 08, 2000 7:58 PM > > To: numpy-discussion(a)lists.sourceforge.net > > Subject: [Numpy-discussion] HTML/SGML docs > > > > > > Hi, > > > > I think I have asked this question a couple of thousand times, but are > > there plans to have HTML/SGML docs, or in other words, can we expect > > to have the source form of this beast. > > I have reached the point where I know how to integrate a nice gtkhtml > > (gnome html in fact) widget ad browse html docs (HURRAY!). Now I'd > > like to us it for something. The nifty thing would be for me to have > > some kind of docbook thinggy. Which means a huge collection of html > > pages with automagic links to prev, next, up, home..... Then I'd show > > the contents in one window using a tree-like thing and the rest in > > another (a real html widget). > > Thanks again > > > > > > > > > > > > > > _______________________________________________ > > Numpy-discussion mailing list > > Numpy-discussion(a)lists.sourceforge.net > > http://lists.sourceforge.net/mailman/listinfo/numpy-discussion > ------------- End Forwarded Message -------------

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HTML/SGML docs
by Hassan Aurag 09 May '00

09 May '00

Hi, I think I have asked this question a couple of thousand times, but are there plans to have HTML/SGML docs, or in other words, can we expect to have the source form of this beast. I have reached the point where I know how to integrate a nice gtkhtml (gnome html in fact) widget ad browse html docs (HURRAY!). Now I'd like to us it for something. The nifty thing would be for me to have some kind of docbook thinggy. Which means a huge collection of html pages with automagic links to prev, next, up, home..... Then I'd show the contents in one window using a tree-like thing and the rest in another (a real html widget). Thanks again

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Re: [Numpy-discussion] LLNL distribution?
by busby＠icf.llnl.gov 08 May '00

08 May '00

[ Johann Hibschman <johann(a)physics.berkeley.edu> asks ] >Is there still a publically available LLNL distribution of NumPy? > >Or, more precisely, now that NumPy has been spun off as a separate >project, where should I look for updates to the Gist module? Is >it still available? > >xfiles.llnl.gov doesn't seem to be there anymore... The older versions of the LLNL distribution, including the Gist module, continue to be available at ftp-icf.llnl.gov:/pub/python. There haven't been any updates to Gist in well over a year. We (Zane Motteler and I) have zero local customers for it, and a multitude of other programmatic responsibilities. We realize that it would be nice simply to dis-entangle Gist from the old distribution and make it available as a separate Python package, perhaps using Distutils, or not, or as an RPM, or as an SRPM, or as a Debian package. There is no time and no support for this activity. If you the reader would like to undertake the project, you have our blessing.

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ZWiki for NumPy
by Janko Hauser 08 May '00

08 May '00

Sorry some hours after the announcement of the documentation the machine went down. It's now up again, and I have added the ZWiki space for NumPy. A WikiWiki is a HTML page wich can be changed by everyone and with a good culture it is a good way to collect ideas and discuss a project. Everyone can also add new pages about new topics. There is documentation how to use a wiki linked from the pages. This is an experiment, I can not promise to keep this service over the long run. With regards, __Janko

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Documentation?
by Morten Kjeldgaard 08 May '00

08 May '00

Hi, What's up with the NumPy documentation? It seems not to be in the CVS tree. The old documentation is still pretty incomplete IMHO. For example, one of the most important routines "matrixmultiply" is not documented. And the description of "indices" makes your head explode... :-) Also lacking is a description (examples) of how to add Ufuncs in an extension module. Are there any plans of distributing the manual in an editable format (TeX, DocBook...) instead of PDF?? That would make it easier for people to contribute. Cheers, /Morten -- Morten Kjeldgaard <mok(a)imsb.au.dk> | Phone : +45 89 42 50 26 Institute of Molecular and Structural Biology | Fax : +45 86 12 31 78 Aarhus University | Home : +45 86 18 81 80 Gustav Wieds Vej 10 C, DK-8000 Aarhus C, Denmark | icq : 27224900

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LLNL distribution?
by Johann Hibschman 05 May '00

05 May '00

Hi folks, Is there still a publically available LLNL distribution of NumPy? Or, more precisely, now that NumPy has been spun off as a separate project, where should I look for updates to the Gist module? Is it still available? xfiles.llnl.gov doesn't seem to be there anymore... Cheers, --Johann -- Johann Hibschman johann(a)physics.berkeley.edu

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Bitten
by rob＠hooft.net 05 May '00

05 May '00

I have to admit that today I have been bitten by NumPy's copy/pointer and 0-order array inconsistency a bit. Easy enough to fix, but a nice catch for somebody new to NumPy: try: a=Numeric.array([1,2,3]) a[0],a[1]=a[1],a[0] print a vs: a=Numeric.array([[1,2,3],[4,5,6],[7,8,9]]) a[0],a[1]=a[1],a[0] print a Regards, Rob Hooft. -- ===== rob(a)hooft.net http://www.xs4all.nl/~hooft/rob/ ===== ===== R&D, Nonius BV, Delft http://www.nonius.nl/ ===== ===== PGPid 0xFA19277D ========================== Use Linux! =========

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Re: Numpy-discussion digest, Vol 1 #50 - 2 msgs
by Travis Oliphant 04 May '00

04 May '00

> Dear Numerical Python users, > > I am new to the numerical python and extending python in C. > I am making a module that involves the construction of complex > matrices. But first, I really want to understand how these matrices are > constructed. > Here is an example function that constructs a matrix of size M and > puts on each position a complex number "x+I y". x and y are arguments > when you call the function in python. > > My question: Is this the right way of organising the > construction of a complex matrix. Are there easier ways? > Can I construct the matrix directly in "result->data"?? > Yes, you can create the array, point a pointer to "result->data" and fill it in. Internally, when the array is created an equivalent malloc is performed. I've changed your code below to eliminate the unecessary copying. > > > static PyObject* matrix(PyObject *self, PyObject *args){ > double x,y; > int size; > int M,n,m; > PyArrayObject *result; > int dimensions[2]; > Py_complex *data; > Py_complex p; > if(!PyArg_ParseTuple(args,"idd",&M,&x,&y)) > return NULL; > dimensions[0] = M; > dimensions[1] = M; > result = (PyArrayObject > *)PyArray_FromDims(2,dimensions,PyArray_CDOUBLE); > data = result->data; > for(n=0;n < M;n++){ > for(m=0; m<M; m++){ > p.real=x; > p.imag=y; > data[n*M+m] = p; > } > } > return PyArray_Return(result);return > PyComplex_FromDoubles(data[1].real,data[1].imag); > free(data); > } > Welcome to the wonderful world of NumPy. -Travis

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complex matrix in a C module? Program
by Vanroose Wim 03 May '00

03 May '00

Dear Numerical Python users, A small mistake when I cut and pasted the program: Here is the program again static PyObject* matrix(PyObject *self, PyObject *args){ double x,y; int size; int M,n,m; PyArrayObject *result; int dimensions[2]; Py_complex *data; Py_complex p; if(!PyArg_ParseTuple(args,"idd",&M,&x,&y)) return NULL; dimensions[0] = M; dimensions[1] = M; data = calloc(M*M+1,sizeof(Py_complex)); for(n=0;n < M;n++){ for(m=0; m<M; m++){ p.real=x; p.imag=y; data[n*M+m] = p; } } result = (PyArrayObject*)PyArray_FromDims(2,dimensions,PyArray_CDOUBLE); memcpy(result->data,data,M*M*sizeof(Py_complex)); return PyArray_Return(result); free(data); }

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How to construct a complex matrix in a C module?
by Vanroose 03 May '00

03 May '00

Dear Numerical Python users, I am new to the numerical python and extending python in C. I am making a module that involves the construction of complex matrices. But first, I really want to understand how these matrices are constructed. Here is an example function that constructs a matrix of size M and puts on each position a complex number "x+I y". x and y are arguments when you call the function in python. My question: Is this the right way of organising the construction of a complex matrix. Are there easier ways? Can I construct the matrix directly in "result->data"?? Wim Vanroose static PyObject* matrix(PyObject *self, PyObject *args){ double x,y; int size; int M,n,m; PyArrayObject *result; int dimensions[2]; Py_complex *data; Py_complex p; if(!PyArg_ParseTuple(args,"idd",&M,&x,&y)) return NULL; dimensions[0] = M; dimensions[1] = M; data = calloc(M*M+1,sizeof(Py_complex)); for(n=0;n < M;n++){ for(m=0; m<M; m++){ p.real=x; p.imag=y; data[n*M+m] = p; } } result = (PyArrayObject *)PyArray_FromDims(2,dimensions,PyArray_CDOUBLE); memcpy(result->data,data,M*M*sizeof(Py_complex)); return PyArray_Return(result);return PyComplex_FromDoubles(data[1].real,data[1].imag); free(data); } Wim Vanroose

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