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  • How to install pip/easy_install on debian 6 for python3.2

    - by atomAltera
    I'm trying to install pip or setup tools form python 3.2 in debian 6. First case: apt-get install python3-pip...OK python3 easy_install.py webob Searching for webob Reading http://pypi.python.org/simple/webob/ Reading http://webob.org/ Reading http://pythonpaste.org/webob/ Best match: WebOb 1.2.2 Downloading http://pypi.python.org/packages/source/W/WebOb/WebOb-1.2.2.zip#md5=de0f371b46554709ce5b93c088a11cae Processing WebOb-1.2.2.zip Traceback (most recent call last): File "easy_install.py", line 5, in <module> main() File "/usr/lib/python3/dist-packages/setuptools/command/easy_install.py", line 1931, in main with_ei_usage(lambda: File "/usr/lib/python3/dist-packages/setuptools/command/easy_install.py", line 1912, in with_ei_usage return f() File "/usr/lib/python3/dist-packages/setuptools/command/easy_install.py", line 1935, in <lambda> distclass=DistributionWithoutHelpCommands, **kw File "/usr/local/lib/python3.2/distutils/core.py", line 148, in setup dist.run_commands() File "/usr/local/lib/python3.2/distutils/dist.py", line 917, in run_commands self.run_command(cmd) File "/usr/local/lib/python3.2/distutils/dist.py", line 936, in run_command cmd_obj.run() File "/usr/lib/python3/dist-packages/setuptools/command/easy_install.py", line 368, in run self.easy_install(spec, not self.no_deps) File "/usr/lib/python3/dist-packages/setuptools/command/easy_install.py", line 608, in easy_install return self.install_item(spec, dist.location, tmpdir, deps) File "/usr/lib/python3/dist-packages/setuptools/command/easy_install.py", line 638, in install_item dists = self.install_eggs(spec, download, tmpdir) File "/usr/lib/python3/dist-packages/setuptools/command/easy_install.py", line 799, in install_eggs unpack_archive(dist_filename, tmpdir, self.unpack_progress) File "/usr/lib/python3/dist-packages/setuptools/archive_util.py", line 67, in unpack_archive driver(filename, extract_dir, progress_filter) File "/usr/lib/python3/dist-packages/setuptools/archive_util.py", line 154, in unpack_zipfile data = z.read(info.filename) File "/usr/local/lib/python3.2/zipfile.py", line 891, in read with self.open(name, "r", pwd) as fp: File "/usr/local/lib/python3.2/zipfile.py", line 980, in open close_fileobj=not self._filePassed) File "/usr/local/lib/python3.2/zipfile.py", line 489, in __init__ self._decompressor = zlib.decompressobj(-15) AttributeError: 'NoneType' object has no attribute 'decompressobj' Second case: from http://pypi.python.org/pypi/distribute#installation-instructions python3 distribute_setup.py Downloading http://pypi.python.org/packages/source/d/distribute/distribute-0.6.28.tar.gz Extracting in /tmp/tmpv6iei2 Traceback (most recent call last): File "distribute_setup.py", line 515, in <module> main(sys.argv[1:]) File "distribute_setup.py", line 511, in main _install(tarball, _build_install_args(argv)) File "distribute_setup.py", line 73, in _install tar = tarfile.open(tarball) File "/usr/local/lib/python3.2/tarfile.py", line 1746, in open raise ReadError("file could not be opened successfully") tarfile.ReadError: file could not be opened successfully Third case: from http://pypi.python.org/pypi/distribute#installation-instructions tar -xzvf distribute-0.6.28.tar.gz cd distribute-0.6.28 python3 setup.py install Before install bootstrap. Scanning installed packages No setuptools distribution found running install running bdist_egg running egg_info writing distribute.egg-info/PKG-INFO writing top-level names to distribute.egg-info/top_level.txt writing dependency_links to distribute.egg-info/dependency_links.txt writing entry points to distribute.egg-info/entry_points.txt reading manifest file 'distribute.egg-info/SOURCES.txt' reading manifest template 'MANIFEST.in' writing manifest file 'distribute.egg-info/SOURCES.txt' installing library code to build/bdist.linux-x86_64/egg running install_lib running build_py copying distribute.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO copying distribute.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying distribute.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying distribute.egg-info/entry_points.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying distribute.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO creating 'dist/distribute-0.6.28-py3.2.egg' and adding 'build/bdist.linux-x86_64/egg' to it Traceback (most recent call last): File "setup.py", line 220, in <module> scripts = scripts, File "/usr/local/lib/python3.2/distutils/core.py", line 148, in setup dist.run_commands() File "/usr/local/lib/python3.2/distutils/dist.py", line 917, in run_commands self.run_command(cmd) File "/usr/local/lib/python3.2/distutils/dist.py", line 936, in run_command cmd_obj.run() File "build/src/setuptools/command/install.py", line 73, in run self.do_egg_install() File "build/src/setuptools/command/install.py", line 93, in do_egg_install self.run_command('bdist_egg') File "/usr/local/lib/python3.2/distutils/cmd.py", line 313, in run_command self.distribution.run_command(command) File "/usr/local/lib/python3.2/distutils/dist.py", line 936, in run_command cmd_obj.run() File "build/src/setuptools/command/bdist_egg.py", line 241, in run dry_run=self.dry_run, mode=self.gen_header()) File "build/src/setuptools/command/bdist_egg.py", line 542, in make_zipfile z = zipfile.ZipFile(zip_filename, mode, compression=compression) File "/usr/local/lib/python3.2/zipfile.py", line 689, in __init__ "Compression requires the (missing) zlib module") RuntimeError: Compression requires the (missing) zlib module zlib1g-dev installed Help me please

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  • Problem with urllib

    - by Eva
    I wrote this code: import urllib proxies = {'http': 'http://112.65.135.54:8080/'} opener = urllib.FancyURLopener(proxies) r = opener.open("http://www.python.org/") print r.read() and when I execute it this program works fine, and send for me source code of python.org But when i use this: import urllib proxies = {'http': 'http://80.176.245.196:1080/'} opener = urllib.FancyURLopener(proxies) r = opener.open("http://www.python.org/") print r.read() this program does not send me the source code of python.org What am I going to do?

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  • What is the fastest way to scale and display an image in Python?

    - by Knut Eldhuset
    I am required to display a two dimensional numpy.array of int16 at 20fps or so. Using Matplotlib's imshow chokes on anything above 10fps. There obviously are some issues with scaling and interpolation. I should add that the dimensions of the array are not known, but will probably be around thirty by four hundred. These are data from a sensor that are supposed to have a real-time display, so the data has to be re-sampled on the fly.

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  • A python random function acts differently when assigned to a list or called directly...

    - by Dror Hilman
    I have a python function that randomize a dictionary representing a position specific scoring matrix. for example: mat = { 'A' : [ 0.53, 0.66, 0.67, 0.05, 0.01, 0.86, 0.03, 0.97, 0.33, 0.41, 0.26 ] 'C' : [ 0.14, 0.04, 0.13, 0.92, 0.99, 0.04, 0.94, 0.00, 0.07, 0.23, 0.35 ] 'T' : [ 0.25, 0.07, 0.01, 0.01, 0.00, 0.04, 0.00, 0.03, 0.06, 0.12, 0.14 ] 'G' : [ 0.08, 0.23, 0.20, 0.02, 0.00, 0.06, 0.04, 0.00, 0.54, 0.24, 0.25 ] } The scambling function: def scramble_matrix(matrix, iterations): mat_len = len(matrix["A"]) pos1 = pos2 = 0 for count in range(iterations): pos1,pos2 = random.sample(range(mat_len), 2) #suffle the matrix: for nuc in matrix.keys(): matrix[nuc][pos1],matrix[nuc][pos2] = matrix[nuc][pos2],matrix[nuc][pos1] return matrix def print_matrix(matrix): for nuc in matrix.keys(): print nuc+"[", for count in matrix[nuc]: print "%.2f"%count, print "]" now to the problem... When I try to scramble a matrix directly, It's works fine: print_matrix(mat) print "" print_matrix(scramble_matrix(mat,10)) gives: A[ 0.53 0.66 0.67 0.05 0.01 0.86 0.03 0.97 0.33 0.41 0.26 ] C[ 0.14 0.04 0.13 0.92 0.99 0.04 0.94 0.00 0.07 0.23 0.35 ] T[ 0.25 0.07 0.01 0.01 0.00 0.04 0.00 0.03 0.06 0.12 0.14 ] G[ 0.08 0.23 0.20 0.02 0.00 0.06 0.04 0.00 0.54 0.24 0.25 ] A[ 0.41 0.97 0.03 0.86 0.53 0.66 0.33.05 0.67 0.26 0.01 ] C[ 0.23 0.00 0.94 0.04 0.14 0.04 0.07 0.92 0.13 0.35 0.99 ] T[ 0.12 0.03 0.00 0.04 0.25 0.07 0.06 0.01 0.01 0.14 0.00 ] G[ 0.24 0.00 0.04 0.06 0.08 0.23 0.54 0.02 0.20 0.25 0.00 ] but when I try to assign this scrambling to a list , it does not work!!! ... print_matrix(mat) s=[] for x in range(3): s.append(scramble_matrix(mat,10)) for matrix in s: print "" print_matrix(matrix) result: A[ 0.53 0.66 0.67 0.05 0.01 0.86 0.03 0.97 0.33 0.41 0.26 ] C[ 0.14 0.04 0.13 0.92 0.99 0.04 0.94 0.00 0.07 0.23 0.35 ] T[ 0.25 0.07 0.01 0.01 0.00 0.04 0.00 0.03 0.06 0.12 0.14 ] G[ 0.08 0.23 0.20 0.02 0.00 0.06 0.04 0.00 0.54 0.24 0.25 ] A[ 0.01 0.66 0.97 0.67 0.03 0.05 0.33 0.53 0.26 0.41 0.86 ] C[ 0.99 0.04 0.00 0.13 0.94 0.92 0.07 0.14 0.35 0.23 0.04 ] T[ 0.00 0.07 0.03 0.01 0.00 0.01 0.06 0.25 0.14 0.12 0.04 ] G[ 0.00 0.23 0.00 0.20 0.04 0.02 0.54 0.08 0.25 0.24 0.06 ] A[ 0.01 0.66 0.97 0.67 0.03 0.05 0.33 0.53 0.26 0.41 0.86 ] C[ 0.99 0.04 0.00 0.13 0.94 0.92 0.07 0.14 0.35 0.23 0.04 ] T[ 0.00 0.07 0.03 0.01 0.00 0.01 0.06 0.25 0.14 0.12 0.04 ] G[ 0.00 0.23 0.00 0.20 0.04 0.02 0.54 0.08 0.25 0.24 0.06 ] A[ 0.01 0.66 0.97 0.67 0.03 0.05 0.33 0.53 0.26 0.41 0.86 ] C[ 0.99 0.04 0.00 0.13 0.94 0.92 0.07 0.14 0.35 0.23 0.04 ] T[ 0.00 0.07 0.03 0.01 0.00 0.01 0.06 0.25 0.14 0.12 0.04 ] G[ 0.00 0.23 0.00 0.20 0.04 0.02 0.54 0.08 0.25 0.24 0.06 ] What is the problem??? Why the scrambling do not work after the first time, and all the list filled with the same matrix?!

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  • How do I create a list or set object in a class in Python?

    - by Az
    For my project, the role of the Lecturer (defined as a class) is to offer projects to students. Project itself is also a class. I have some global dictionaries, keyed by the unique numeric id's for lecturers and projects that map to objects. Thus for the "lecturers" dictionary (currently): lecturer[id] = Lecturer(lec_name, lec_id, max_students) I'm currently reading in a white-space delimited text file that has been generated from a database. I have no direct access to the database so I haven't much say on how the file is formatted. Here's a fictionalised snippet that shows how the text file is structured. Please pardon the cheesiness. 0001 001 "Miyamoto, S." "Even Newer Super Mario Bros" 0002 001 "Miyamoto, S." "Legend of Zelda: Skies of Hyrule" 0003 002 "Molyneux, P." "Project Milo" 0004 002 "Molyneux, P." "Fable III" 0005 003 "Blow, J." "Ponytail" The structure of each line is basically proj_id, lec_id, lec_name, proj_name. Now, I'm currently reading the relevant data into the relevant objects. Thus, proj_id is stored in class Project whereas lec_name is a class Lecturer object, et al. The Lecturer and Project classes are not currently related. However, as I read in each line from the text file, for that line, I wish to read in the project offered by the lecturer into the Lecturer class; I'm already reading the proj_id into the Project class. I'd like to create an object in Lecturer called offered_proj which should be a set or list of the projects offered by that lecturer. Thus whenever, for a line, I read in a new project under the same lec_id, offered_proj will be updated with that project. If I wanted to get display a list of projects offered by a lecturer I'd ideally just want to use print lecturers[lec_id].offered_proj. My Python isn't great and I'd appreciate it if someone could show me a way to do that. I'm not sure if it's better as a set or a list, as well. Update After the advice from Alex Martelli and Oddthinking I went back and made some changes and tried to print the results. Here's the code snippet: for line in csv_file: proj_id = int(line[0]) lec_id = int(line[1]) lec_name = line[2] proj_name = line[3] projects[proj_id] = Project(proj_id, proj_name) lecturers[lec_id] = Lecturer(lec_id, lec_name) if lec_id in lecturers.keys(): lecturers[lec_id].offered_proj.add(proj_id) print lec_id, lecturers[lec_id].offered_proj The print lecturers[lec_id].offered_proj line prints the following output: 001 set([0001]) 001 set([0002]) 002 set([0003]) 002 set([0004]) 003 set([0005]) It basically feels like the set is being over-written or somesuch. So if I try to print for a specific lecturer print lec_id, lecturers[001].offered_proj all I get is the last the proj_id that has been read in.

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  • How to get the list of price offers on an item from Amazon with python-amazon-product-api item_looku

    - by miernik
    I am trying to write a function to get a list of offers (their prices) for an item based on the ASIN: def price_offers(asin): from amazonproduct import API, ResultPaginator, AWSError from config import AWS_KEY, SECRET_KEY api = API(AWS_KEY, SECRET_KEY, 'de') str_asin = str(asin) node = api.item_lookup(id=str_asin, ResponseGroup='Offers', Condition='All', MerchantId='All') for a in node: print a.Offer.OfferListing.Price.FormattedPrice I am reading http://docs.amazonwebservices.com/AWSECommerceService/latest/DG/index.html?ItemLookup.html and trying to make this work, but all the time it just says: Failure instance: Traceback: <type 'exceptions.AttributeError'>: no such child: {http://webservices.amazon.com/AWSECommerceService/2009-10-01}Offer

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  • How do you determine an acceptable response time for DB requests?

    - by qiq
    According to this discussion of Google App Engine on Hacker News, A DB (read) request takes over 100ms on the datastore. That's insane and unusable for about 90% of applications. How do you determine what is an acceptable response time for a DB read request? I have been using App Engine without noticing any issues with DB responsiveness. But, on the other hand, I'm not sure I would even know what to look for in that regard :)

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  • Subroutine to apply Daylight Bias to display time in local DST?

    - by vfclists
    UK is currently 1 hour ahead of UTC due to Daylight Savings Time. When I check the Daylight Bias value from GetTimeZoneInformation it is currently -60. Does that mean that translating UTC to DST means DST = UTC + -1 * DaylightBias, ie negate and add? I thought in this case for instance adding Daylight Bias to UTC is the correct operation, hence requiring DaylightBias to be 60 rather than -60.

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  • MySQL - Calculate the net time difference between two date-times while excluding breaks?

    - by John M
    In a MySQL query I am using the timediff/time_to_sec functions to calculate the total minutes between two date-times. For example: 2010-03-23 10:00:00 - 2010-03-23 08:00:00 = 120 minutes What I would like to do is exclude any breaks that occur during the selected time range. For example: 2010-03-23 10:00:00 - 2010-03-23 08:00:00 - (break 08:55:00 to 09:10:00) = 105 minutes Is there a good method to do this without resorting to a long list of nested IF statements?

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  • Python: (sampling with replacement): efficient algorithm to extract the set of UNIQUE N-tuples from a set

    - by Homunculus Reticulli
    I have a set of items, from which I want to select DISSIMILAR tuples (more on the definition of dissimilar touples later). The set could contain potentially several thousand items, although typically, it would contain only a few hundreds. I am trying to write a generic algorithm that will allow me to select N items to form an N-tuple, from the original set. The new set of selected N-tuples should be DISSIMILAR. A N-tuple A is said to be DISSIMILAR to another N-tuple B if and only if: Every pair (2-tuple) that occurs in A DOES NOT appear in B Note: For this algorithm, A 2-tuple (pair) is considered SIMILAR/IDENTICAL if it contains the same elements, i.e. (x,y) is considered the same as (y,x). This is a (possible variation on the) classic Urn Problem. A trivial (pseudocode) implementation of this algorithm would be something along the lines of def fetch_unique_tuples(original_set, tuple_size): while True: # randomly select [tuple_size] items from the set to create first set # create a key or hash from the N elements and store in a set # store selected N-tuple in a container if end_condition_met: break I don't think this is the most efficient way of doing this - and though I am no algorithm theorist, I suspect that the time for this algorithm to run is NOT O(n) - in fact, its probably more likely to be O(n!). I am wondering if there is a more efficient way of implementing such an algo, and preferably, reducing the time to O(n). Actually, as Mark Byers pointed out there is a second variable m, which is the size of the number of elements being selected. This (i.e. m) will typically be between 2 and 5. Regarding examples, here would be a typical (albeit shortened) example: original_list = ['CAGG', 'CTTC', 'ACCT', 'TGCA', 'CCTG', 'CAAA', 'TGCC', 'ACTT', 'TAAT', 'CTTG', 'CGGC', 'GGCC', 'TCCT', 'ATCC', 'ACAG', 'TGAA', 'TTTG', 'ACAA', 'TGTC', 'TGGA', 'CTGC', 'GCTC', 'AGGA', 'TGCT', 'GCGC', 'GCGG', 'AAAG', 'GCTG', 'GCCG', 'ACCA', 'CTCC', 'CACG', 'CATA', 'GGGA', 'CGAG', 'CCCC', 'GGTG', 'AAGT', 'CCAC', 'AACA', 'AATA', 'CGAC', 'GGAA', 'TACC', 'AGTT', 'GTGG', 'CGCA', 'GGGG', 'GAGA', 'AGCC', 'ACCG', 'CCAT', 'AGAC', 'GGGT', 'CAGC', 'GATG', 'TTCG'] Select 3-tuples from the original list should produce a list (or set) similar to: [('CAGG', 'CTTC', 'ACCT') ('CAGG', 'TGCA', 'CCTG') ('CAGG', 'CAAA', 'TGCC') ('CAGG', 'ACTT', 'ACCT') ('CAGG', 'CTTG', 'CGGC') .... ('CTTC', 'TGCA', 'CAAA') ] [[Edit]] Actually, in constructing the example output, I have realized that the earlier definition I gave for UNIQUENESS was incorrect. I have updated my definition and have introduced a new metric of DISSIMILARITY instead, as a result of this finding.

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  • How to add a constructor to a subclassed numeric type?

    - by abbot
    I want to subclass a numeric type (say, int) in python and give it a shiny complex constructor. Something like this: class NamedInteger(int): def __init__(self, value): super(NamedInteger, self).__init__(value) self.name = 'pony' def __str__(self): return self.name x = NamedInteger(5) print x + 3 print str(x) This works fine under Python 2.4, but Python 2.6 gives a deprecation warning. What is the best way to subclass a numeric type and to redefine constructors for builtin types in newer Python versions?

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  • easy hex/float conversion

    - by yeus
    I am doing some input/output between a c++ and a python program (only floating point values) python has a nice feature of converting floating point values to hex-numbers and back as you can see in this link: http://docs.python.org/library/stdtypes.html#additional-methods-on-float Is there an easy way in C++ to to something similar? and convert the python output back to C++ double/float? This way I would not have the problem of rounding errors when exchanging data between the two processes... thx for the answers!

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  • Python: (sampling with replacement): efficient algorithm to extract the set of DISSIMILAR N-tuples from a set

    - by Homunculus Reticulli
    I have a set of items, from which I want to select DISSIMILAR tuples (more on the definition of dissimilar touples later). The set could contain potentially several thousand items, although typically, it would contain only a few hundreds. I am trying to write a generic algorithm that will allow me to select N items to form an N-tuple, from the original set. The new set of selected N-tuples should be DISSIMILAR. A N-tuple A is said to be DISSIMILAR to another N-tuple B if and only if: Every pair (2-tuple) that occurs in A DOES NOT appear in B Note: For this algorithm, A 2-tuple (pair) is considered SIMILAR/IDENTICAL if it contains the same elements, i.e. (x,y) is considered the same as (y,x). This is a (possible variation on the) classic Urn Problem. A trivial (pseudocode) implementation of this algorithm would be something along the lines of def fetch_unique_tuples(original_set, tuple_size): while True: # randomly select [tuple_size] items from the set to create first set # create a key or hash from the N elements and store in a set # store selected N-tuple in a container if end_condition_met: break I don't think this is the most efficient way of doing this - and though I am no algorithm theorist, I suspect that the time for this algorithm to run is NOT O(n) - in fact, its probably more likely to be O(n!). I am wondering if there is a more efficient way of implementing such an algo, and preferably, reducing the time to O(n). Actually, as Mark Byers pointed out there is a second variable m, which is the size of the number of elements being selected. This (i.e. m) will typically be between 2 and 5. Regarding examples, here would be a typical (albeit shortened) example: original_list = ['CAGG', 'CTTC', 'ACCT', 'TGCA', 'CCTG', 'CAAA', 'TGCC', 'ACTT', 'TAAT', 'CTTG', 'CGGC', 'GGCC', 'TCCT', 'ATCC', 'ACAG', 'TGAA', 'TTTG', 'ACAA', 'TGTC', 'TGGA', 'CTGC', 'GCTC', 'AGGA', 'TGCT', 'GCGC', 'GCGG', 'AAAG', 'GCTG', 'GCCG', 'ACCA', 'CTCC', 'CACG', 'CATA', 'GGGA', 'CGAG', 'CCCC', 'GGTG', 'AAGT', 'CCAC', 'AACA', 'AATA', 'CGAC', 'GGAA', 'TACC', 'AGTT', 'GTGG', 'CGCA', 'GGGG', 'GAGA', 'AGCC', 'ACCG', 'CCAT', 'AGAC', 'GGGT', 'CAGC', 'GATG', 'TTCG'] # Select 3-tuples from the original list should produce a list (or set) similar to: [('CAGG', 'CTTC', 'ACCT') ('CAGG', 'TGCA', 'CCTG') ('CAGG', 'CAAA', 'TGCC') ('CAGG', 'ACTT', 'ACCT') ('CAGG', 'CTTG', 'CGGC') .... ('CTTC', 'TGCA', 'CAAA') ] [[Edit]] Actually, in constructing the example output, I have realized that the earlier definition I gave for UNIQUENESS was incorrect. I have updated my definition and have introduced a new metric of DISSIMILARITY instead, as a result of this finding.

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  • Using pydev with Eclipse on OSX

    - by Sunit
    I setup PyDev with this path for the python interpreter /System/Library/Frameworks/Python.framework/Versions/2.5/Python since the one under /usr/bin were alias and Eclipse won't select it. I can run my python script now but cannot run the shell as an external tool. The message I get is variable references empty selection ${resource_loc} Same if I use {container_loc} Any thoughts ? Sunit

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  • speed of map() vs. list comprehension vs. numpy vectorized function in python

    - by mcstrother
    I have a function foo(i) that takes an integer and takes a significant amount of time to execute. Will there be a significant performance difference between any of the following ways of initializing 'a': a = [foo(i) for i in xrange(100)] , a = map(foo, range(100)) , and vfoo = numpy.vectorize(foo) vfoo(range(100)) ? (I don't care whether the output is a list or a numpy array). Is there some other better way of doing this? Thanks.

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