Mailman 3 December 2003 - NumPy-Discussion

Convolve returning zero array
by R.Jager＠mapperlithography.com 15 Dec '03

15 Dec '03

Hi list, I already posted this on the numarray forum on freshmeat, but Jay T Miller advised me to post my problem to this list. OK, now for the problem: I try to convolve a Gaussian distribution with a binary pattern. For small values of the sigma of the Gaussian distribution the convolution returns an array of zeros. For a large value the results are OK. I did some more research and found out that the zero array is returned if the length of the Gaussian is smaller than the length of the binary pattern. In the function call the Gaussian is the kernel and the binary pattern is the data. The convolution mode is 'SAME'. I have swapped the data and kernel in the convolve function call, but this has no influence on the result, as this is swapped again in convolve.py. A quick and dirty workaround is to always make the Gaussian distribution longer than the binary pattern, but for very large binary patterns this increases the calculation time significantly. Does anyone have an idea how to solve this properly? Met vriendelijke groeten, Remco Jager MAPPER Lithography Lorentzweg 1 2628 CJ Delft, The Netherlands tel.: +31 (0)15 2789439 fax: +31 (0)15-2789473 http://www.mapperlithography.com This e-mail, attachments and (any part of) its content are (i) intended for the named addressee(s) only and (ii) strictly confidential and proprietary. All rights are reserved by MAPPER Lithography. Any unauthorized use, disclosure and/or copying are strictly prohibited, except with prior and express written permission by MAPPER Lithography. Should you have received this e-mail, attachments and its content by mistake, please bring this to our attention and destroy this e-mail and attachments in full. Thank you.

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dynamic array size
by Boštjan Jerko 15 Dec '03

15 Dec '03

Hello ! I want to create a vector using Python C/API with connection to numpy. My idea is to create vector on the fly without previously knowing what the size will be. Is this possible? B.

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Bug in max()
by Edward C. Jones 12 Dec '03

12 Dec '03

I am using a CVS copy of numarray downloaded on Dec 9, 2003. The following program raises "TypeError: Can't reshape non-contiguous numarray": #! /usr/bin/env python import numarray z = numarray.zeros((2,2,2)) z.max() The error happens because "numarray.maximum.areduce" returns a non-contiguous array.

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take() over CharArrays
by Francesc Alted 12 Dec '03

12 Dec '03

Hi, take() doesn't seems to work when applied to numarray CharArrays: >>> a=strings.array("a"*400, shape=(2,4), itemsize=3) >>> take(a, (1,2)) Traceback (most recent call last): File "<stdin>", line 1, in ? File "/usr/local/lib/python2.3/site-packages/numarray/ufunc.py", line 1766, in take return array._take((indices,), clipmode=clipmode) File "/usr/local/lib/python2.3/site-packages/numarray/generic.py", line 799, in _take impliedShape, N = _takeShape(self, indices) File "/usr/local/lib/python2.3/site-packages/numarray/generic.py", line 133, in _takeShape if scattered.isbyteswapped() or not scattered.iscontiguous(): AttributeError: 'CharArray' object has no attribute 'isbyteswapped' and, IMO, that functionality would be nice to have. Cheers, -- Francesc Alted

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BREAKING NEWS On Health Care Stock ...kenneth
by Reuben Corcoran 11 Dec '03

11 Dec '03

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RE: [Numpy-discussion] PyMatrix: Announcement
by Perry Greenfield 11 Dec '03

11 Dec '03

> -----Original Message----- > From: numpy-discussion-admin(a)lists.sourceforge.net > [mailto:numpy-discussion-admin@lists.sourceforge.net]On Behalf Of > Sebastian > Haase > Sent: Thursday, December 11, 2003 1:45 PM > To: Colin J. Williams > Cc: numpy-discussion(a)lists.sourceforge.net > Subject: Re: [Numpy-discussion] PyMatrix: Announcement > > > Thanks for the reply. > PEP 225 is from Sept-2000 and http://matpy.sourceforge.net and > dated from > Mar-2002 (Python 2.0) > > That is about the results I got from my first google-groups > search. What is > the current thinking about this ? > Looks to me like the "new operator" idea is dead. Or ?? > > I actually like (read: could live with) alternative 4 in PEP > 225: which is, > to provide operator overloading for what I call > "different views" of the same matrix / image. How difficult is this to > implement ? > (What is the real difference to alternative 3 ? They both have > m1.E * m2.E > . ) > > Regards, > Sebastian > > > None > If I recall correctly, Guido didn't dismiss it out of hand, but he wasn't going to do anything about it unless there was sufficient noise from the community that this was very important. I think it is, and I suppose if we campaign enough, it may be considered. Perry

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Re: [Numpy-discussion] PyMatrix: Announcement
by Sebastian Haase 11 Dec '03

11 Dec '03

Thanks for the reply. PEP 225 is from Sept-2000 and http://matpy.sourceforge.net and dated from Mar-2002 (Python 2.0) That is about the results I got from my first google-groups search. What is the current thinking about this ? Looks to me like the "new operator" idea is dead. Or ?? I actually like (read: could live with) alternative 4 in PEP 225: which is, to provide operator overloading for what I call "different views" of the same matrix / image. How difficult is this to implement ? (What is the real difference to alternative 3 ? They both have m1.E * m2.E . ) Regards, Sebastian ----- Original Message ----- From: Colin J. Williams To: Sebastian Haase Sent: Wednesday, December 10, 2003 5:27 AM Subject: Re: [Numpy-discussion] PyMatrix: Announcement Sebastian Haase wrote: Hi Colin, We are interested in using your PyMatrix packages (It' numarray not Numeric, right?).That is correct. Testing so far is with numarray 0.7. Please remember to also install the version 0.7 addons. When version 0.8 arrives, all will be included in one package. The package is intended for comment and review. There is at least one problem in numarray, which we hope will be resolved in version 0.8. For example, for some functions, upon the first call, the function returns an instance of the M class (matrix), on the second call, it returns an instance of the NumArray class. First though, someone in my lab had the following concern: What if I actually need the element-wise multiplication ? (In other words: The Matlab .* operator) [1] I understand that python does not allow to invent new operator symbols.Yes. This issue was discussed in PEP 225. How about multiplying a Matrix with a Numarray ?Please see [2]. Is it possible to have a 'numarray view' of a Matrix object ? (I'm thinking of two differently typed objects sharing one "value-memory space", so that essentially the type determines which multiplication is being used ...)There is a need to think through the copy/view approach in PyMatrix. Currently, most cases are copies. I'm inclined to deprecate the dual view approach, but I would appreciate comments. Let me know if you have any questions or comments. Colin W. Thanks, Sebastian Haase ----- Original Message ----- From: "Colin J. Williams" <cjw(a)sympatico.ca> Newsgroups: comp.lang.python,comp.lang.python.announce To: "numpy-discussion" <numpy-discussion(a)lists.sourceforge.net>; "SciPy Discussion List" <scipy-user(a)scipy.net> Cc: "Huaiyu Zhu" <hzhu(a)users.sourceforge.net> Sent: Monday, November 24, 2003 5:17 AM Subject: [Numpy-discussion] PyMatrix: Announcement PyMatrix is available for test and review. http://www3.sympatico.ca/cjw PyMatrix provides access to basic matrix arithmetic, using Python and numarray. Examples: A * B => the product of matrices A and B A.I => the inverse of matrix A A.EVectors => the eigenvectors of A A.var(0) => the variances of the columns of A (a.T*a).I * a.T*b => the solution (x) for a * x = b, where a is a matrix and b a column vector This package was developed on a Windows XP. I would appreciate comments, particularly with respect to usage on other systems. Colin W. ------------------------------------------------------- This SF.net email is sponsored by: SF.net Giveback Program. Does SourceForge.net help you be more productive? Does it help you create better code? SHARE THE LOVE, and help us help YOU! Click Here: http://sourceforge.net/donate/ _______________________________________________ Numpy-discussion mailing list Numpy-discussion(a)lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion Notes: [1] Elementwise Multiplication The thinking here is that, for most matrix usage, the elementwise multiplication is less frequently required. Thus, a more complex expression can be tolerated. See the example below: a= mRange(9, shape=(3, 3)) b= mRange((9, 18), shape= (3, 3)) print 'Matrixwise multiplation:' print 'a * b (prettyprinted):', pp(a * b) print 'Elementwise multiplation:' print 'a * b (prettyprinted):', pp(M(a.A * b.A))) In the last case, we use the array mechanism. The output is: Matrixwise multiplation: a * b (prettyprinted):matrix([[ 42, 45, 48], [150, 162, 174], [258, 279, 300]]) None Elementwise multiplation: a * b (prettyprinted):matrix([[ 0, 10, 22], [ 36, 52, 70], [ 90, 112, 136]]) None [2] Multiplication of a matrix by an array or nested list When an compatible array or list is juxtapositioned with a matrix, it is in effect coerced to the higher class. a= mRange(9, shape=(3, 3) c= N.arange(9, shape=(3, 3)) print 'A matrix multiplied by an array:' print 'a * c (prettyprinted):', pp(a * c) print 'A matrix multiplied by a list:' lst= [[0, 1, 2], [3, 4, 5], [6, 7, 8]] print 'a * lst (prettyprinted):', pp(a * lst) The output is: A matrix multiplied by an array: a * c (prettyprinted):matrix([[ 15, 18, 21], [ 42, 54, 66], [ 69, 90, 111]]) None A matrix multiplied by a list: a * lst (prettyprinted):matrix([[ 15, 18, 21], [ 42, 54, 66], [ 69, 90, 111]]) None

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Dimension checking on assignment
by Berthold Höllmann 10 Dec '03

10 Dec '03

Hello, For some time now I waws searching for the cause of a segmentation fault in a quite complex piece of software of ours which occured only under Windows and not under Linux nor under Solaris. Finally it seems that the case were some lines that did the following: from Numeric import * import numeric_version print numeric_version.version from numfort import arrayInfo import sys print sys.version m = ones((48,6,8), Complex) m = transpose(m,[2,0,1]) a =swapaxes(innerproduct(transpose([[1,0,0],[0,1,0],[0,0,1]]),m[:,:,:3]),0,-1) print a.typecode() print "arrayInfo(m):" arrayInfo(m) print "arrayInfo(a):" arrayInfo(a) print m[:,:,:3].shape print a.shape print m[1,1,1] m[:,:,:3]=a print m[1,1,1] m[:,:,3:]=a print m[1,1,1] the nuarray.arrayInfo just prints the dimensions and strides of a Numeric array. With this script I get >python ~/xx.py 21.0 2.2.1 (#1, Dec 13 2002, 10:37:32) [GCC 3.2] D arrayInfo(m): 3 dimensions, dimensions : 8 48 6, strides : 1 48 8 arrayInfo(a): 3 dimensions, dimensions : 48 8 3, strides : 1 48 384 (8, 48, 3) (48, 8, 3) (1+0j) Segmentation fault under Linux. The code does not segfault when I print m in whole ("print m" instead of "print m[1,1,1]") and it does not segfault in my compelex program. It does segfault in my complex program under Windows. Versions are 2.3.2 for python and 23.1 for Numeric under Windows. The main question is, why is no exception raised on the incompatible dimensions in this example? Kind regards Berthold Höllmann -- Germanischer Lloyd AG CAE Development Vorsetzen 35 20459 Hamburg Phone: +49(0)40 36149-7374 Fax: +49(0)40 36149-7320 e-mail: hoel(a)gl-group.com Internet: http://www.gl-group.com **************************************************** Please notice: We would like to inform you that the e-mail address of Germanischer Lloyd as well as our internet address had been changed to gl-group.com with effect from 1st March 2003. This means that the previous address shortmark(a)germanlloyd.org will be replaced by shortmark(a)gl-group.com. From now on the GL homepage can be accessed at the address 'http://www.gl-group.com'. The old addresses remain valid for a transitional period. **************************************************** This e-mail contains confidential information for the exclusive attention of the intended addressee. Any access of third parties to this e-mail is unauthorised. Any use of this e-mail by unintended recipients such as copying, distribution, disclosure etc. is prohibited and may be unlawful. When addressed to our clients the content of this e-mail is subject to the General Terms and Conditions of GL's Group of Companies applicable at the date of this e-mail. GL's Group of Companies does not warrant and/or guarantee that this message at the moment of receipt is authentic, correct and its communication free of errors, interruption etc.

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Re: [Numpy-discussion] PyMatrix: Announcement
by Colin J. Williams 10 Dec '03

10 Dec '03

Sebastian Haase wrote: >Hi Colin, >We are interested in using your PyMatrix packages (It' numarray not Numeric, >right?). > That is correct. Testing so far is with numarray 0.7. Please remember to also install the version 0.7 addons. When version 0.8 arrives, all will be included in one package. The package is intended for comment and review. There is at least one problem in numarray, which we hope will be resolved in version 0.8. For example, for some functions, upon the first call, the function returns an instance of the M class (matrix), on the second call, it returns an instance of the NumArray class. > First though, someone in my lab had the following concern: >What if I actually need the element-wise multiplication ? >(In other words: The Matlab .* operator) [1] <%5B1%5D> > >I understand that python does not allow to invent new operator symbols. > Yes. This issue was discussed in PEP 225 <http://www.python.org/peps/pep-0225.html>. >How about multiplying a Matrix with a Numarray ? > Please see [2] <#2>. >Is it possible to have a 'numarray view' of a Matrix object ? (I'm thinking >of two differently typed objects sharing one "value-memory space", so that >essentially the type determines which multiplication is being used ...) > There is a need to think through the copy/view approach in PyMatrix. Currently, most cases are copies. I'm inclined to deprecate the dual view approach, but I would appreciate comments. Let me know if you have any questions or comments. Colin W. >Thanks, >Sebastian Haase > > >----- Original Message ----- >From: "Colin J. Williams" <cjw(a)sympatico.ca> >Newsgroups: comp.lang.python,comp.lang.python.announce >To: "numpy-discussion" <numpy-discussion(a)lists.sourceforge.net>; "SciPy >Discussion List" <scipy-user(a)scipy.net> >Cc: "Huaiyu Zhu" <hzhu(a)users.sourceforge.net> >Sent: Monday, November 24, 2003 5:17 AM >Subject: [Numpy-discussion] PyMatrix: Announcement > > > > >>PyMatrix is available for test and review. >> http://www3.sympatico.ca/cjw >> >>PyMatrix provides access to basic matrix arithmetic, using Python and >>numarray. >> >>Examples: >> A * B => the product of >>matrices A and B >> A.I => the inverse of matrix >> >> >A > > >> A.EVectors => the eigenvectors of A >> A.var(0) => the variances of the >>columns of A >> (a.T*a).I * a.T*b => the solution (x) for a * >>x = b, >> where a is a >>matrix and b a column vector >> >>This package was developed on a Windows XP. I would appreciate >>comments, particularly with respect to usage on other systems. >> >>Colin W. >> >> >> >> >> >>------------------------------------------------------- >>This SF.net email is sponsored by: SF.net Giveback Program. >>Does SourceForge.net help you be more productive? Does it >>help you create better code? SHARE THE LOVE, and help us help >>YOU! Click Here: http://sourceforge.net/donate/ >>_______________________________________________ >>Numpy-discussion mailing list >>Numpy-discussion(a)lists.sourceforge.net >>https://lists.sourceforge.net/lists/listinfo/numpy-discussion >> >> >> Notes: [1] Elementwise Multiplication The thinking here is that, for most matrix usage, the elementwise multiplication is less frequently required. Thus, a more complex expression can be tolerated. See the example below: a= mRange(9, shape=(3, 3)) b= mRange((9, 18), shape= (3, 3)) print 'Matrixwise multiplation:' print 'a * b (prettyprinted):', pp(a * b) print 'Elementwise multiplation:' print 'a * b (prettyprinted):', pp(M(a.A * b.A))) In the last case, we use the array mechanism. The output is: Matrixwise multiplation: a * b (prettyprinted):matrix([[ 42, 45, 48], [150, 162, 174], [258, 279, 300]]) None Elementwise multiplation: a * b (prettyprinted):matrix([[ 0, 10, 22], [ 36, 52, 70], [ 90, 112, 136]]) None [2] Multiplication of a matrix by an array or nested list When an compatible array or list is juxtapositioned with a matrix, it is in effect coerced to the higher class. a= mRange(9, shape=(3, 3) c= N.arange(9, shape=(3, 3)) print 'A matrix multiplied by an array:' print 'a * c (prettyprinted):', pp(a * c) print 'A matrix multiplied by a list:' lst= [[0, 1, 2], [3, 4, 5], [6, 7, 8]] print 'a * lst (prettyprinted):', pp(a * lst) The output is: A matrix multiplied by an array: a * c (prettyprinted):matrix([[ 15, 18, 21], [ 42, 54, 66], [ 69, 90, 111]]) None A matrix multiplied by a list: a * lst (prettyprinted):matrix([[ 15, 18, 21], [ 42, 54, 66], [ 69, 90, 111]]) None

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US STOCK MARKET - MBTT Technology---MERRYL LYNCH On Sector.....iniko
by Freida Baird 09 Dec '03

09 Dec '03

US Stock Market - Stock Profile of the Week Symbol: MBTT Market: OTC.BB Sector: ELECTRONICS Before we begin our profile we have very exciting, breaking news... Renowned Satellite Industry Expert Dr. Arthur R. Tilford Joins MB Tech BREAKING NEWS - (PRIMEZONE) - MB Tech, Inc. (OTC.BB: MBTT) announces that Dr. Arthur R. Tilford, formerly with Hughes Electronics (NYSE: GMH), has been retained by the Company to provide technical consulting and advisory services. Tilford is an aerospace industry veteran responsible for a total of 11 patents and patent applications within the field, having received Hughes' Chairman's Award for DirecDuo, solo engineering efforts in 1997. He is an expert system designer and Federal Licensing and Certifying Engineer. He has authored several books, including Satellite Fieldbook Quarterly(c) -- Hughes S&C, CA, the contents of which describe all parameters of every C/Ku band geo-satellite in the world and the over 400 page Satellite Workbook(c) for use in satellite engineering classes, taught by him, at the California State University (CSUF at CSULB). Tilford worked with Netune Communications, where he was responsible for providing transponder allocations, domestic and international link-budget calculations for narrow to very-wide-band satellite system and writing, calculating and applying for FCC and RA transmit licenses. He also assigned parameters for RF sub-system design and is an expert in radiation hazard compliance. Hanwook Bae, President of MB Tech, commented, ``The importance of Dr. Tilford joining the Company cannot be underestimated. He is an industry leader with numerous patents relating to antenna design and an immense knowledge of the satellite Internet market. His incredible technical knowledge will allow us to dramatically step up our new initiatives, catapulting us to the forefront of our industry.'' He added, ``This is yet another positive step forward in the overall paradigm shift for the Company. We have moved from being a manufacturer of satellite components, to a Company that will lead the consumer satellite electronics industry.'' STOCK PROFILE OF THE WEEK MB Tech is a global manufacturer and distributor of satellite components. The primary product MB Tech produces is "LNB" (Low-Noise Blockdown) converters, which are the essential element enabling DBS satellites to receive and convert satellite transmission signals. MB Tech currently serves the satellite television market, and is expanding to serve the satellite radio and military hardware sectors. MB Tech manufactures several proprietary LNB solutions that differentiate it from competitors. MB Tech's product line includes a dual-horn LNB which allows multiple set-top boxes to be connected to a single satellite dish, enabling viewing of multiple channels simultaneously on different television monitors, and a tri-horn LNB, which provides the ability to download signals from multiple satellites over a single dish. TECHNOLOGY MB Tech has improved on conventional designs and can manufacture units more efficiently and less expensively than the competition. MB Tech specializes in LNB electronics, it is the ONLY thing we do. An LNB converter transforms the satellite transmission into a useable signal. MB Tech has developed a special new breed of LNB converter which allows the signal to feed separate televisions or other 'boxes' with different channels. The signal coming in from one dish can be distributed through MB Tech's 'dual and triple horned' LNB converter such that multiple channels can be viewed, or different channels and Internet access can be delivered.. ALL AT THE SAME TIME! Other technological objectives have been to develop LNB for G.P.S. equipment, and small type two horn technology as well as UBC DSS type LNB. These objectives have been achieved and the Company is currently speaking with larger American based technology companies about the technology. PRODUCTS MB Tech products are innovative! We rely on superior technology to be an integral part of our business. We have made a serious committment to ongoing R&D to stay ahead of the curve. MB Tech, Inc traces its roots back to 2000 with the development of 3 types of LNB (DSS type). Continuous reinvention and rapid transformation are themes throughout our history. Led by our top-notch technology, our company offered a new breed of satellite broadcasting solutions to clients?solutions that customized LNB with 3 or 4 horns. Click here to see our product milestones. Within the next two years, MB Tech will spend over 80 million dollars on continuing Research and development of our products. We will continue a process of product renewal that will assure products with features and functionality that will be attractive to the market. MDI: MERRILL LYNCH COMENTS ON AD TRENDS IN THE MEDIA SECTOR Merrill Lynch surveyed newspapers, TV stations and radio stations to try to understand the divergent trends between local and national advertising in the current recovery. They noted that U.S. ad expenditures tend to keep pace with or slightly outperform the economy over time. As such, the rise of media outlets should not necessarily lead to higher ad spending but most likely to market share shifts among the mediums. The surveys showed that local cable is becoming a more competitive force, but overall, they found no major structural issues impacting the dynamics between local and national ad spending. Merrill noted that national advertisers typically base their budgets on projected economic trends and therefore can afford to spend a bit ahead of a turn in the cycle. However, local advertisers, with more limited resources, are more likely to lag in spending coming out of a recovery as they need to see an immediate return on investment. They pointed out that a better economy should eliminate the differences. The firm believes there are many positive themes occurring with newspapers today (e.g. collaborative selling efforts, product innovation, renewed focus on readership) that are being masked by the downturn in department store spending, which appears to be secular, and the cyclical issue of help wanted, which is finally turning positive. >From a consumer perspective, they believe radio is a relatively protected medium. However, the industry remains beset with excess inventory, following unsustainable demand in the late 1990's. A reduction in spots and/or lower prices could limit near term growth, yet support long term growth, giving investors something to chase. TV is about to enter the growth phase of its two year cycle, but its low growth, single revenue stream is likely the main target for local cable TV and should also be impacted by increased DVR penetration, which gives the firm little to get excited about. IMPORTANT CORPORATE MILESTONES Oct. 2003 Receives 6.14 Million Dollar Purchase Order For 45,000 Flat Antennas Sept. 2003 Purchases Patent for Key Operating Mechanism of DBS Flat Antenna Sept. 2003 Completes Development of Flat Antenna May. 2002 Canada DBS (Star Choice) two horn LNB P/O for (USD 450,000) Feb. 2002 Canada DBS (Star Choice) two horn LNB P/O for (USD 675,000) Dec. 2001 Canada DBS (Star Choice) two horn LNB P/O for (USD 75,000) Sept. 2001 Canada DBS (Star Choice) two horn LNB P/O for (USD 1,200,000) July 2001 Patent application for LNB design and pattern May 2001 Purchase order of Canadian BS (two horn LNB) April 2001 Establishment of MB Tech, Inc. Jan. 2001 Canada DBS two horn LNB successful field test Sept. 2000 SBCA (Satellite Broadcasting & Communications Association) Membership Certificate Aug. 2000 Development of 3 types of LNB (CAN TYPE); application of patent of new device and patent of new design (app# 00-22512,22513, 22514) July 2000 SBCA (USA); DBS field test in S. Africa; DBS field test in Australia May 2000 DBS field test in Thailand; Media Cast (London); DBS field test in Russia April 2000 Application for patent of new device and patent of new design, patent app# 10-2000-0017958 March 2000 Development of 3 types of LNB (DSS type) For more information on MBTT, visit their website at www.mbtech.us Please note that MBTT had absolutley nothing to do with this report and is not a participant in any way. No more advertisements: www.precscription-service-now.com/away.html Stock Market Today is an independent research firm. This report is based on Stock Market Today's independent analysis but also relies on information supplied by sources believed to be reliable. This report may not be the opinion of MBTT management. Stock Market Today has also been retained to research and issue reports on MBTT. Stock Market Today may from time to time purchase or sell MBTT common shares in the open market without notice. The information contained in this report shall not constitute, an offer to sell or solicitation of any offer to purchase any security. It is intended for information only. Some statements may contain so-called "forward-looking statements". Many factors could cause actual results to differ. Investors should consult with their Investment Advisor concerning MBTT. Copyright 2003 © Stock Market Today Ltd. All Rights Reserved. This newsletter was distributed by SCI, Inc. SCI was paid one hundred twenty thousand shares MBTT stock to distribute this report. SCI is not affiiated with Stock Market Today and is not responsible for newsletter content. aeekzef ccdfumopqa rglt fssb hen wjnrbkarw koth sxudc t v pmmv jl djwglda ivn m

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