search for: 500x500

It is my User.rb model, My images are not stored in my assets directory.. has_attached_file :photo, :styles => { :small => "100x100#", :large => "500x500>", :thumb => "60x60>" }, :url => "/assets/users/:id/:style/:basename.:extension", :path => ":rails_root/public/assets/users/:id/:style/:basename.:extension" validates_attachment_presence :photo validates...

...0,000 random values______________________ (sec): 1.53666666666667 Eigenvalues of a 220x220 random matrix______________ (sec): 0.466666666666669 Determinant of a 750x750 random matrix______________ (sec): 1.65 Cholesky decomposition of a 1000x1000 matrix________ (sec): 1.30333333333334 Inverse of a 500x500 random matrix__________________ (sec): 1.76000000000000 -------------------------------------------- Trimmed geom. mean (2 extremes eliminated): 1.48949725041955 III. Programmation ------------------ 225,000 Fibonacci numbers calculation (vector calc)_ (...

...core line (Charter 24) -crgbftext Char in 80-char rgb core line (Courier 12) -magpixwin10 Scale 5x5 from pixmap to 10x10 window -magpixwin100 Scale 50x50 from pixmap to 100x100 window -magpixwin500 Scale 250x250 from pixmap to 500x500 window -minpixwin10 Scale 10x10 from pixmap to 5x5 window -minpixwin100 Scale 100x100 from pixmap to 5x5 window -minpixwin500 Scale 500x500 from pixmap to 250x250 window Alan Coopersmith (9): Add const attributes to fix gcc -Wwrite-strings...

...n in interval [0,1] which can be assumed to come from a scalar-valued stationary Gaussian process. There are about 500 observation points in the interval. I need an effective and fast way to simulate from the Gaussian process conditioned on the available data. I can of course estimate the mean and 500x500 covariance matrix from data. I have searched both the Rsite and Internet in general but have not found any function or program which could work directly for this type of data. There are some packages in R to simulate from Gaussian processes(e.g. geoR, waveslim and spectralGP) but I couldn't fig...

...t this in the log file: "bar_image"=>{"file_temp"=>"", "file"=>#<StringIO:0xb4b08268>} and the picture is not saved. the pictures i upload are 60x60 and there is no file_column validations or limitations at all. when uploading larger images (500x500 for ex.) it works. anyone? --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "Ruby on Rails: Talk" group. To post to this group, send email to rubyonrails-talk-/JYPxA39Uh5TLH3MbocFFw@public.gmane.org To unsu...

Hi all, I''ve installed paperclips but paperclip is not saving the files my model has has_attached_file :attachment,:styles => { :medium => "300x300>", :thumb => "100x100>" } and i have db migration as class AddAttachmentToPolicies < ActiveRecord::Migration def self.up add_column :policies,

...time R-1.4.0-opt: 2.90 sec user CPU time S-6.0 : 3.78 sec user CPU time For data with 12960 rows: R-1.4.0-def: 28.34 sec user CPU time R-1.4.0-opt: 14.97 sec user CPU time S-6.0 : 13.70 sec user CPU time 4) The result of system.time(B <- A %*% A) where A is 500x500 matrix. R-1.4.0-def: 18.83 sec user CPU time R-1.4.0-opt: 0.37 sec user CPU time I hope this will be of use to somebody... cheers, Gardar _________________________________________________________ Gardar Johannesson Department of Statistics Ohio State University 304E Cockins Hall, 19...

Hi. I''m uploading images using a standard form. A thumbnail is made using minimagick, when I upload files larger than 2 MB I get this error: ImageMagick command (mogrify -resize 500x500 /tmp/minimagic15697.0) failed: Error Given 256 Images smaller than 2 MB works fine. Is there some configuration I need to do? regards Claus

How can i create variable sizes with paperclip. That the user can set the size he want and paperclip makes the picture. I only can create fixed sizes. -- Posted via http://www.ruby-forum.com/.

http://bugs.freedesktop.org/show_bug.cgi?id=25966 Summary: nv25 : rxvt scrolling is very slow Product: xorg Version: 7.5 Platform: x86 (IA32) OS/Version: Linux (All) Status: NEW Severity: normal Priority: medium Component: Driver/nouveau AssignedTo: nouveau at lists.freedesktop.org

...inated): 4.62477425061321 III. Programmation ------------------ 3,500,000 Fibonacci numbers calculation (vector calc)(sec): 1.25633333333335 Creation of a 3000x3000 Hilbert matrix (matrix calc) (sec): 0.894999999999982 Grand common divisors of 400,000 pairs (recursion)__ (sec): 1.714 Creation of a 500x500 Toeplitz matrix (loops)_______ (sec): 1.4013333333333 Escoufier's method on a 45x45 matrix (mixed)________ (sec): 2.041 -------------------------------------------- Trimmed geom. mean (2 extremes eliminated): 1.44505946077978 Total time for all 15 tests_________________________ (sec): 88.6306...

...inated): 4.62477425061321 III. Programmation ------------------ 3,500,000 Fibonacci numbers calculation (vector calc)(sec): 1.25633333333335 Creation of a 3000x3000 Hilbert matrix (matrix calc) (sec): 0.894999999999982 Grand common divisors of 400,000 pairs (recursion)__ (sec): 1.714 Creation of a 500x500 Toeplitz matrix (loops)_______ (sec): 1.4013333333333 Escoufier's method on a 45x45 matrix (mixed)________ (sec): 2.041 -------------------------------------------- Trimmed geom. mean (2 extremes eliminated): 1.44505946077978 Total time for all 15 tests_________________________ (sec): 88.6306...

...a), 5 = Linear regression over a 700x700 matrix (b = a \ b') Serie II: Preprogrammed matrix functions 6 = FFT over 900,000 random values, 7 = Eigenvalues of a 220x220 random matrix, 8 = Determinant of a 750x750 random matrix, 9 = Cholesky decomposition of a 1000x1000 matrix, 10 = Inverse of a 500x500 random matrix Serie II: programmation 11 = 225.000 Fibonacci numbers calculation (vector calc.), 12 = Creation of a 1500x1500 Hilbert matrix (matrix calc.), 13 = Grand common divisors of 35,000 pairs (recursion), 14 = Creation of a 220x220 Toeplitz matrix (loops), 15 = Escoufier's method on a...

...a), 5 = Linear regression over a 700x700 matrix (b = a \ b') Serie II: Preprogrammed matrix functions 6 = FFT over 900,000 random values, 7 = Eigenvalues of a 220x220 random matrix, 8 = Determinant of a 750x750 random matrix, 9 = Cholesky decomposition of a 1000x1000 matrix, 10 = Inverse of a 500x500 random matrix Serie II: programmation 11 = 225.000 Fibonacci numbers calculation (vector calc.), 12 = Creation of a 1500x1500 Hilbert matrix (matrix calc.), 13 = Grand common divisors of 35,000 pairs (recursion), 14 = Creation of a 220x220 Toeplitz matrix (loops), 15 = Escoufier's method on a...

...with BLAS calls. However, I get a memory corruption error when running it -- the full output is attached at the end. I've been trying to pinpoint and solve the problem, and two things seem odd to me: First, if I run the same code with a much smaller data set, so that the arrays are about 500x500 each, there are no problems (this seems to indicate that I'm not writing outside array bounds). Second, using the gdb debugger (with ddd frontend), I noticed that the error only occurs on the second pass through the main Fortran code loop, which should not be very different from the f...

...a), 5 = Linear regression over a 700x700 matrix (b = a \ b') Serie II: Preprogrammed matrix functions 6 = FFT over 900,000 random values, 7 = Eigenvalues of a 220x220 random matrix, 8 = Determinant of a 750x750 random matrix, 9 = Cholesky decomposition of a 1000x1000 matrix, 10 = Inverse of a 500x500 random matrix Serie II: programmation 11 = 225.000 Fibonacci numbers calculation (vector calc.), 12 = Creation of a 1500x1500 Hilbert matrix (matrix calc.), 13 = Grand common divisors of 35,000 pairs (recursion), 14 = Creation of a 220x220 Toeplitz matrix (loops), 15 = Escoufier's method on a...

...0.0025 msec (394000.0/sec): Char in 80-char aa line (Charter 10) 3200000 trep @ 0.0119 msec ( 84300.0/sec): Char in 30-char aa line (Charter 24) 8000000 trep @ 0.0036 msec (280000.0/sec): Composite 10x10 from pixmap to window 60000 trep @ 0.4813 msec ( 2080.0/sec): Composite 500x500 from pixmap to window * After, ARGB glyphs: 20000000 trep @ 0.0015 msec (649000.0/sec): Char in 80-char aa line (Charter 10) 4800000 trep @ 0.0057 msec (175000.0/sec): Char in 30-char aa line (Charter 24) 8000000 trep @ 0.0036 msec (280000.0/sec): Composite 10x10 from pixmap to wi...