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According to this thread you need to install an earlier version since there were problems with the latest build.

Simply install an earlier version, (2.0.10 works great), even with " PostgreSQL 8.4.x series.

You don't need to write your own FileStorage class or anything that complicated.

The 'upload_to' parameter on File/ImageFields can take a function that returns the path/file to use.

How to do this has already been answered here

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Linearize the voxel coordinates, and put them into two scipy.sparse.sparse.csc matrices.

Let v be the number of voxels, m the number of masks, and t the number of tracks.

Overlap = (M * T.transpose() > 0)  # track T overlaps mask M  "Connected = (Overlap * Overlap.tranpose() > 0) # Connected masks"Density[mask_idx] = numpy.take(T, nonzero(Overlap[mask_idx, :])[0], axis=0).sum(axis=0)

I might be wrong on the last one, and I'm not sure css_matrices can be operated on by nonzero & take. You might need to pull out each column in a loop and convert it to a full matrix.

I ran some experiments trying to simulate what I thought was a reasonable amount of data. The code below takes about 2 minutes on a 2-year old MacBook. If you use csr_matrices, it takes about 4 minutes. There is probably a tradeoff depending on how long each track is.

from numpy import *"from scipy.sparse import csc_matrix""nvox = 1000000"ntracks = 300000"nmask = 100""# create about 100 entries per track"tcoords = random.uniform(0, ntracks, ntracks * 100).astype(int)"vcoords = random.uniform(0, nvox, ntracks * 100).astype(int)"d = ones(ntracks * 100)"T = csc_matrix((d,  vstack((tcoords, vcoords))), shape=(ntracks, nvox), dtype=bool)""# create around 10000 entries per mask"mcoords = random.uniform(0, nmask, nmask * 10000).astype(int)"vcoords = random.uniform(0, nvox, nmask * 10000).astype(int)"d = ones(nmask * 10000)"M = csc_matrix((d, vstack((mcoords, vcoords))), shape=(nmask, nvox), dtype=bool)""Overlap = (M * T.transpose()).astype(bool) # mask M overlaps track T"Connected = (Overlap * Overlap.transpose()).astype(bool) # mask M1 and M2 are connected"Density = Overlap * T.astype(float) # number of tracks overlapping mask M summed across voxels

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(I'm assuming you do this to learn Python, so I'll point out the errors in your code).

>>> years = SecondsSinceEpoch / 31540000

Nonononono. You can't do that. Some years have 31536000 seconds, others have 31622400 seconds.

>>> if calendar.isleap(yeariterator) == True:

You don't need to test if a true value is true. :-) Do:

>>> if calendar.isleap(yeariterator):

Instead.

Also change:

>>> yeariterator = 1969">>> iterator = 0">>> while yeariterator < yearsfordayfunction:">>>     yeariterator = yeariterator + 1

To:

blockquote>

for yeariterator in range(1970, yearsfordayfunction):

/blockquote>

That will also fix your error: You don't stop until AFTER 2009, so you get the answer -105, because there is 105 days left of the year.

And also, there's not much point in calculating month by month. Year by year works fine.

    for yeariterator in range(1970, yearsfordayfunction):"            if calendar.isleap(yeariterator) == True:"                    days = days - 366"            else:"                    days = days - 365

And an indent of 8 spaces is a lot. 4 is more common.

Also, I'd calculate year and day of year in one method, instead of doing it twice.

def YearDay():"    SecondsSinceEpoch = int(time.time())"    days = SecondsSinceEpoch // 86400 # Double slash means floored int."    year = 1970"    while True:"            if calendar.isleap(year):"                    days -= 366"            else:"                    days -= 365"            year += 1"            if calendar.isleap(year):"                    if days <= 366:"                            return year, days"            else:"                    if days <= 365:"                            return year, days"""def MonthDay(year, day):"    if calendar.isleap(year):"            monthstarts = [0, 31, 60, 91, 121, 152, 182, 213, 244, 274, 305, 335, 366]"    else:"            monthstarts = [0, 31, 59, 90, 120, 151, 181, 212, 243, 273, 304, 334, 365]""    month = 0"    for start in monthstarts:"            if start > day:"                    return month, day - monthstarts[month-1] + 1"            month += 1

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