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  • How to save bytes to an image and access it from Bottle

    - by Graham Smith
    I'm working on an API wrapper for Snapchat using Python and Bottle, but in order to return the file (retrieved by the Python script) I have to save the bytes (returned by Snapchat) to a .jpg file. I'm not quite sure how I will do this and still be able to access the file so that it can be returned. Here's what I have so far, but it returns a 404. @route('/image') def image(): username = request.query.username token = request.query.auth_token img_id = request.query.id return get_blob(username, token, img_id) def get_blob(usr, token, img_id): # Form URL and download encrypted "blob" blob_url = "https://feelinsonice.appspot.com/ph/blob?id={}".format(img_id) blob_url += "&username=" + usr + "&timestamp=" + str(timestamp()) + "&req_token=" + req_token(token) enc_blob = requests.get(blob_url).content # Save decrypted image FileUpload.save('/images/' + img_id + '.jpg') img = open('images/' + img_id + '.jpg', 'wb') img.write(decrypt(enc_blob)) img.close() return static_file(img_id + '.jpg', root='/images/')

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  • virtualenv on Windows: not over-riding installed package

    - by Tom
    My current setup is Python 2.5/ Django 1.1.1 on Windows. I want to start using Django 1.2 on some projects, but can't use it for everything. Which is just the sort of thing I've got virtualenv for. However, I'm running into a problem I've never encountered and it's hard to Google for: installing Django 1.2 into a virtualenv has no effect for me. If I then activate the environment and do python import django django.VERSION I get "1.1.1 Final". Django is installed in the site-packages directory of my environment and the init file in the root shows that it is 1.2. But the environment falls back to 1.1.1, even if I create the environment with the --no-site-packages flag. What am I screwing up?

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  • 'int' object is not callable

    - by Oscar Reyes
    I'm trying to define a simply Fraction class And I'm getting this error: python fraction.py Traceback (most recent call last): File "fraction.py", line 20, in <module> f.numerator(2) TypeError: 'int' object is not callable The code follows: class Fraction(object): def __init__( self, n=0, d=0 ): self.numerator = n self.denominator = d def get_numerator(self): return self.numerator def get_denominator(self): return self.denominator def numerator(self, n): self.numerator = n def denominator( self, d ): self.denominator = d def prints( self ): print "%d/%d" %(self.numerator, self.denominator) if __name__ == "__main__": f = Fraction() f.numerator(2) f.denominator(5) f.prints() I thought it was because I had numerator(self) and numerator(self, n) but now I know Python doesn't have method overloading ( function overloading ) so I renamed to get_numerator but that's not the problems. What could it be?

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  • SciPy interp1d results are different than MatLab interp1

    - by LMO
    I'm converting a MatLab program to Python, and I'm having problems understanding why scipy.interpolate.interp1d is giving different results than MatLab interp1. In MatLab the usage is slightly different: yi = interp1(x,Y,xi,'cubic') SciPy: f = interp1d(x,Y,kind='cubic') yi = f(xi) For a trivial example the results are the same: MatLab: interp1([0 1 2 3 4], [0 1 2 3 4],[1.5 2.5 3.5],'cubic') 1.5000 2.5000 3.5000 Python: interp1d([1,2,3,4],[1,2,3,4],kind='cubic')([1.5,2.5,3.5]) array([ 1.5, 2.5, 3.5]) But for a real-world example they are not the same: x = 0.0000e+000 2.1333e+001 3.2000e+001 1.6000e+004 2.1333e+004 2.3994e+004 Y = -6 -6 20 20 -6 -6 xi = 0.00000 11.72161 23.44322 35.16484... (2048 data points) Matlab: -6.0000e+000 -1.2330e+001 -3.7384e+000 ... 7.0235e+000 7.0028e+000 6.9821e+000 SciPy: array([[ -6.00000000e+00], [ -1.56304101e+01], [ -2.04908267e+00], ..., [ 1.64475576e+05], [ 8.28360759e+04], [ -5.99999999e+00]]) Any thoughts as to how to can get results that are consistent with MatLab?

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  • how to copy a sqlite3 table to another file in python

    - by james
    hey i was wondering how i could make a copy of a sqlite3 table and save it to a seperate file in python. im confused as in python your sqlite3 object can only be connected to one database so how would i make it save to a seperate database? the reason i want to do this is in sqlite3 the database file size can never get smaller, and ive made alot of changes so i want just copy this table to another file which wont have all the extra empty space and then delete the origonal database thanks guys

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  • Using jep.invoke() method

    - by hofsoc
    Hi, I need to call a function from a python script and pass in parameters into it. I have a test python script which I can call and run from java using Jepp - this then adds the person. Eg Test.py import Finding from Finding import * f = Finding() f.addFinding("John", "Doe", 27) Within my Finding class I have addFinding(firstname, lastName, age) However, I wish to be able to do this from within java. Should I be using the jep.invoke() method. Does anyone have a hello world example of such a thing being done or forward me to some good examples? Does anyone have any suggestions please? Thanks in advance

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  • Importing BitTorrent bencode module

    - by bocco
    Hi, I'm on Mac OS X 10.6. Python is 2.6.1. I've installed bencode module as sudo easy_install BitTorrent-bencode It appeared in site-packages /Library/Python/2.6/site-packages/BitTorrent_bencode-5.0.8-py2.6.egg But, how to import and use this module? >>> import bencode doesn't work... Traceback (most recent call last): File "<stdin>", line 1, in <module> ImportError: No module named bencode How to import modules from site-packages? How to recognize module name BitTorrent_bencode-5.0.8-py2.6.egg contains? Thanks

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  • Is there a recommended command for "hg bisect --command"?

    - by blokeley
    I have an emergent bug that I've got to track down tomorrow. I know a previous hg revision which was good so I'm thinking about using hg bisect. However, I'm on Windows and don't want to get into DOS scripting. Ideally, I'd be able to write a Python unit test and have hg bisect use that. This is my first attempt. bisector.py #!/usr/bin/env python import sys import unittest class TestCase(unittest.TestCase): def test(self): #raise Exception('Exception for testing.') #self.fail("Failure for testing.") pass def main(): suite = unittest.defaultTestLoader.loadTestsFromTestCase(TestCase) result = unittest.TestResult() suite.run(result) if result.errors: # Skip the revision return 125 if result.wasSuccessful(): return 0 else: return 1 if '__main__' == __name__: sys.exit(main()) Perhaps I could then run: hg bisect --reset hg bisect --bad hg bisect --good -r 1 hg bisect --command=bisector.py Is there a better way of doing it? Thanks for any advice.

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  • Application with both console and gui mode

    - by mridang
    Hi, I have a python console app. Like most python console apps it uses the OptionParser module to take arguments. I've now developed a GUI for my app using wxPython and i'd like to integrate the two. I'd like my app to be run both from the console and from the OS's UI. When it is invoked from the console it runs as a console app and when it is double clicked in the OS's UI, it runs as a GUI app. How could I do something like this? Could someone show me a a snippet of what the __main__ block should be like? Thanks a ton.

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  • Measuring CPU time per-thread on Windows

    - by Eli Courtwright
    I'm developing a long-running multi-threaded Python application for Windows, and I want the process to know the CPU time that each of its threads has taken. I can get the overall times for the entire process with os.times() but I need to know the per-thread times. I know that there are external tools such as the Sysinternals Process Explorer, but my program itself needs to have this information. If I were on Linux, I look in the /proc filesystem, as described here. If I were writing C code, I'd use the GetThreadTimes call, as described here. So how can I accomplish this on Windows using Python?

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  • Generic documentation guide-lines for implementation details

    - by mgj
    Hi..:) For documentation and presentation purposes, we often find professionals/students creating SRS, coding guidelines etc. for these things there is some kind of a checklist which one could use to appropriately match what could relate to a specific case and accordingly one does a documentation for each. On those grounds could you please give me some sort of a checklist( any points/guidelines) one could use for going about Implementation( in the form of Implementation Details) in Python and C++ . Although this might sound specific as the query is "Implementation Details" and is different for different cases as one goes about the REAL implementation, I just want a SET of guidelines one should follow ( Preferably In Python, C++ specific, even for any other language is Welcome) if this( Implementation Details ) has to also be documented or presented. Hope the question is clear, I am sorry if it still sounds ambiguous, I guess this is the best I could do to frame my query. Thank you for your time...:)

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  • How can I get my setup.py to use a relative path to my files?

    - by Chris B.
    I'm trying to build a Python distribution with distutils. Unfortunately, my directory structure looks like this: /code /mypackage __init__.py file1.py file2.py /subpackage __init__.py /build setup.py Here's my setup.py file: from distutils.core import setup setup( name = 'MyPackage', description = 'This is my package', packages = ['mypackage', 'mypackage.subpackage'], package_dir = { 'mypackage' : '../mypackage' }, version = '1', url = 'http://www.mypackage.org/', author = 'Me', author_email = '[email protected]', ) When I run python setup.py sdist it correctly generates the manifest file, but doesn't include my source files in the distribution. Apparently, it creates a directory to contain the source files (i.e. mypackage1) then copies each of the source files to mypackage1/../mypackage which puts them outside of the distribution. How can I correct this, without forcing my directory structure to conform to what distutils expects?

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  • Cross-platform SOA framework

    - by ByteMR
    I'm looking for a good cross-platform SOA framework that preferably works with several programming languages like C++, Python, and C#. I recently learned about Thrift, but that doesn't seem to work with MSVC from the documentation I've read and requires the use of Cygwin or MinGW to even compile the Thrift compiler. Does Thrift work with MSVC and if not, are there any alternatives that would meet my needs? Such as being able to generate C# and Python bindings and work on Linux, Mac, and Windows. Any suggestions would be greatly appreciated!

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  • How do I make PyScripter work? Says it cant find python26.dll

    - by Alex
    I installed PyScript to try it out but it just wont start. It only gives me the error: "Error126: Could not open Dll "python26.dll" followed by: "Python could not be properly initialized. We must quit." I think this may have something to do with the PYTHONPATH but since I'm a newbie and dont know what it is or exactly what to put in the PYTHONPATH, after some googling, I ask here. Also, when I tried to install wxPython it was impossible becouse the PYTHONPATH could not be found.(Just a side note) I have installed ActivePython 2.6 and the PATH is set so I can access python in cmd.

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  • M2Crypto: Is PKey a reference to a Public or a Private key?

    - by Andrea Zilio
    In the PKey class documentation of the M2Crypto python package (an OpenSSL wrapper for Python) it is said that PKey is a reference to a Public key. My opinion is instead that it's a reference to a Private Key because the init method of the PKey class calls the evp_pkey_new openssl function that, from this link: http://linux.die.net/man/3/evp_pkey_new , should allocate a new reference to a private key structure! There are two only possible explaination: The M2Crypto documentation is wrong or the link I've reported has wrong informations. Can someone help me to find the truth?

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  • numpy array C api

    - by wiso
    I have a C++ function returning a std::vector and I want to use it in python, so I'm using the C numpy api: static PyObject * py_integrate(PyObject *self, PyObject *args){ ... std::vector<double> integral; cpp_function(integral); // this change integral npy_intp size = {integral.size()}; PyObject *out = PyArray_SimpleNewFromData(1, &size, NPY_DOUBLE, &(integral[0])); return out; } when I call it from python, if I do import matplotlib.pyplot as plt a = py_integrate(parameters) print a fig = plt.figure() ax = fig.add_subplot(111) ax.plot(a) print a the first print is ok, the values are correct, but when I plot a they are not, and in particular in the second print I see very strange values like 1E-308 1E-308 ... or 0 0 0 ... as an unitialized memory. I don't understand why the first print is ok.

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  • dynamic module creation

    - by intuited
    I'd like to dynamically create a module from a dictionary, and I'm wondering if adding an element to sys.modules is really the best way to do this. EG context = { a: 1, b: 2 } import types test_context_module = types.ModuleType('TestContext', 'Module created to provide a context for tests') test_context_module.__dict__.update(context) import sys sys.modules['TestContext'] = test_context_module My immediate goal in this regard is to be able to provide a context for timing test execution: import timeit timeit.Timer('a + b', 'from TestContext import *') It seems that there are other ways to do this, since the Timer constructor takes objects as well as strings. I'm still interested in learning how to do this though, since a) it has other potential applications; and b) I'm not sure exactly how to use objects with the Timer constructor; doing so may prove to be less appropriate than this approach in some circumstances. EDITS/REVELATIONS/PHOOEYS/EUREKAE: I've realized that the example code relating to running timing tests won't actually work, because import * only works at the module level, and the context in which that statement is executed is that of a function in the testit module. In other words, the globals dictionary used when executing that code is that of main, since that's where I was when I wrote the code in the interactive shell. So that rationale for figuring this out is a bit botched, but it's still a valid question. I've discovered that the code run in the first set of examples has the undesirable effect that the namespace in which the newly created module's code executes is that of the module in which it was declared, not its own module. This is like way weird, and could lead to all sorts of unexpected rattlesnakeic sketchiness. So I'm pretty sure that this is not how this sort of thing is meant to be done, if it is in fact something that the Guido doth shine upon. The similar-but-subtly-different case of dynamically loading a module from a file that is not in python's include path is quite easily accomplished using imp.load_source('NewModuleName', 'path/to/module/module_to_load.py'). This does load the module into sys.modules. However this doesn't really answer my question, because really, what if you're running python on an embedded platform with no filesystem? I'm battling a considerable case of information overload at the moment, so I could be mistaken, but there doesn't seem to be anything in the imp module that's capable of this. But the question, essentially, at this point is how to set the global (ie module) context for an object. Maybe I should ask that more specifically? And at a larger scope, how to get Python to do this while shoehorning objects into a given module?

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  • Split string with zsh as in Python

    - by Olivier
    In python: s = '1::3' a = s.split(':') print a[0] # '1' good print a[1] # '' good print a[2] # '3' good How can I achieve the same effect with zsh? The following attempt fails: s="1::3" a=(${(s/:/)s}) echo $a[1] # 1 echo $a[2] # 3 ?? I want an empty string, as in Python

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  • Using cProfile results with KCacheGrind

    - by Adam Luchjenbroers
    I'm using cProfile to profile my Python program. Based upon this talk I was under the impression that KCacheGrind could parse and display the output from cProfile. However, when I go to import the file, KCacheGrind just displays an 'Unknown File Format' error in the status bar and sits there displaying nothing. Is there something special I need to do before my profiling stats are compatible with KCacheGrind? ... if profile: import cProfile profileFileName = 'Profiles/pythonray_' + time.strftime('%Y%m%d_%H%M%S') + '.profile' profile = cProfile.Profile() profile.run('pilImage = camera.render(scene, samplePattern)') profile.dump_stats(profileFileName) profile.print_stats() else: pilImage = camera.render(scene, samplePattern) ... Package Versions KCacheGrind 4.3.1 Python 2.6.2

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  • GVim highlighting with matchadd eventually slows down?

    - by Kyle MacFarlane
    I have the following in ~/.vim/ftplugin/python.vim to highlight long lines, accidental tabs and extra whitespace in Python files: hi CustomPythonErrors ctermbg=red ctermfg=white guibg=#592929 au BufWinEnter *.py call matchadd('CustomPythonErrors', '\%>80v.\+', -1) au BufWinEnter *.py call matchadd('CustomPythonErrors', '/^\t\+/', -1) au BufWinEnter *.py call matchadd('CustomPythonErrors', '\s\+$', -1) au BufWinLeave *.py call clearmatches() The BufWinLeave is so that the matches are cleared when I switch to another file in case that file isn't a .py file. It's an essential feature for me when working with something like Django. It all works fine for random amounts of time; from ten minutes to hours (my guess is it depends on how many files I open/close). But eventually when any line over 80 characters is displayed GVim slows to a halt and requires a restart. Does anyone have any ideas why this would eventually slow down?

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