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  • How to create a non-persistent Elixir/SQLAlchemy object?

    - by siebert
    Hi, because of legacy data which is not available in the database but some external files, I want to create a SQLAlchemy object which contains data read from the external files, but isn't written to the database if I execute session.flush() My code looks like this: try: return session.query(Phone).populate_existing().filter(Phone.mac == ident).one() except: return self.createMockPhoneFromLicenseFile(ident) def createMockPhoneFromLicenseFile(self, ident): # Some code to read necessary data from file deleted.... phone = Phone() phone.mac = foo phone.data = bar phone.state = "Read from legacy file" phone.purchaseOrderPosition = self.getLegacyOrder(ident) # SQLAlchemy magic doesn't seem to work here, probably because we don't insert the created # phone object into the database. So we set the id fields manually. phone.order_id = phone.purchaseOrderPosition.order_id phone.order_position_id = phone.purchaseOrderPosition.order_position_id return phone Everything works fine except that on a session.flush() executed later in the application SQLAlchemy tries to write the created Phone object to the database (which fortunatly doesn't succeed, because phone.state is longer than the data type allows), which breaks the function which issues the flush. Is there any way to prevent SQLAlchemy from trying to write such an object? Ciao, Steffen

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  • more efficient way to pickle a string

    - by gatoatigrado
    The pickle module seems to use string escape characters when pickling; this becomes inefficient e.g. on numpy arrays. Consider the following z = numpy.zeros(1000, numpy.uint8) len(z.dumps()) len(cPickle.dumps(z.dumps())) The lengths are 1133 characters and 4249 characters respectively. z.dumps() reveals something like "\x00\x00" (actual zeros in string), but pickle seems to be using the string's repr() function, yielding "'\x00\x00'" (zeros being ascii zeros). i.e. ("0" in z.dumps() == False) and ("0" in cPickle.dumps(z.dumps()) == True)

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  • gae error:AttributeError: 'NoneType' object has no attribute 'user_is_member'

    - by zjm1126
    class Thread(db.Model): members = db.StringListProperty() def user_is_member(self, user): return str(user) in self.members and thread = Thread.get(db.Key.from_path('Thread', int(id))) is_member = thread.user_is_member(user) but the error is : Traceback (most recent call last): File "D:\Program Files\Google\google_appengine\google\appengine\ext\webapp\__init__.py", line 511, in __call__ handler.get(*groups) File "D:\Program Files\Google\google_appengine\google\appengine\ext\webapp\util.py", line 62, in check_login handler_method(self, *args) File "D:\zjm_code\forum_blog_gae\main.py", line 222, in get is_member = thread.user_is_member(user) AttributeError: 'NoneType' object has no attribute 'user_is_member' why ? thanks

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  • Modify passed, nested dict/list

    - by Gerenuk
    I was thinking of writing a function to normalize some data. A simple approach is def normalize(l, aggregate=sum, norm_by=operator.truediv): aggregated=aggregate(l) for i in range(len(l)): l[i]=norm_by(l[i], aggregated) l=[1,2,3,4] normalize(l) l -> [0.1, 0.2, 0.3, 0.4] However for nested lists and dicts where I want to normalize over an inner index this doesnt work. I mean I'd like to get l=[[1,100],[2,100],[3,100],[4,100]] normalize(l, ?? ) l -> [[0.1,100],[0.2,100],[0.3,100],[0.4,100]] Any ideas how I could implement such a normalize function? Maybe it would be crazy cool to write normalize(l[...][0]) Is it possible to make this work?? Or any other ideas? Also not only lists but also dict could be nested. Hmm... EDIT: I just found out that numpy offers such a syntax (for lists however). Anyone know how I would implement the ellipsis trick myself?

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  • Interesting task using random numbers only

    - by psihodelia
    Given any number of the random real numbers from the interval [0,1] is there exist any method to construct a floating point number with zero decimal part? Your algorithm can use only random() function calls and no variables or constants. No constants and variables are allowed, no type casting is allowed. You can use for/while, if/else or any other programming language operands.

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  • How to skip interstitial in a django view if a user hits the back button?

    - by Jose Boveda
    I have an application with an interstitial page to hold the user while an intensive operation runs in the background (takes anywhere from 30 secs to 1 minute). Once the operation is done, the user is redirected to the results page. Once on the result page, typical user behavior is to hit the 'back' button to perform the operation on a different input set. However, the back button takes them to the interstitial, not the original form. The desired behavior is to go back to the original form, skipping the interstitial entirely. I'd like this to be default behavior if the user goes to the interstitial page from anywhere but the original form. I thought I could create this by using the @never_cache function decorator in my view for the interstitial, and logic based on request.META['HTTP_REFERER'], however the page doesn't respect these. The browser's back button still trumps this behavior. Any ideas on how to solve this issue?

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  • error in fetching url data

    - by Rahul s
    from google.appengine.ext import webapp from google.appengine.ext.webapp import util from google.appengine.ext import db from google.appengine.api import urlfetch class TrakHtml(db.Model): hawb = db.StringProperty(required=False) htmlData = db.TextProperty() class MainHandler(webapp.RequestHandler): def get(self): Traks = list() Traks.append('93332134') #Traks.append('91779831') #Traks.append('92782244') #Traks.append('38476214') for st in Traks : trak = TrakHtml() trak.hawb = st url = 'http://etracking.cevalogistics.com/eTrackResultsMulti.aspx?sv='+st result = urlfetch.fetch(url) self.response.out.write(result.read()) trak.htmlData = result.read() trak.put() result.read() is not giving whole file , it giving some portion. trak.htmlData is a textproparty() so it have to store whole file and i want that only

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  • Django-admin.py not being recognized suddenly

    - by Jen Camara
    I tried starting a new Django project yesterday but when I did "django-admin.py startproject projectname" I got an error stating: "django-admin.py is not recognized as an internal or external command." The strange thing is, when I first installed Django, I made a few projects and everything worked fine. But now after going back a few months later it has suddenly stopped working. I've tried looking around for an answer and all I could find is that this typically has to do with the system path settings, however, I know that I have the proper paths set up so I don't understand what's happening. Does anybody have any idea what's going on?

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  • Interrupting `while loop` with keyboard in Cython

    - by linello
    I want to be able to interrupt a long function with cython, using the usual CTRL+C interrupt command. My C++ long function is repeatedly called inside a while loop from Cython code, but I want to be able, during the loop, to send an "interrupt" and block the while loop. The interrupt also should wait the longFunction() to finish, so that no data are lost or kept in unknown status. This is one of my first implementation, which obviously doesn't work: computed=0; print "Computing long function..." while ( computed==0 ): try: computed = self.thisptr.aLongFunction() except (KeyboardInterrupt, SystemExit): computed=1 print '\n! Received keyboard interrupt.\n' break; (p.s. self.thisptr is the pointer to the current class which implements aLongFunction() )

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  • Adding a child node to a JSON node dynamically

    - by Sai
    I have to create a nested multi level json depending on the resultset that I get from MYSQL. I created a json object initially. Now I want to add child nodes to the already child nodes in the object. d = collections.OrderedDict() jsonobj = {"test": dict(updated_at="today", ID="ID", ads=[])} for rows1 in rs: jsonobj['list']["ads"].append(dict(unit = "1", type ="ad_type", id ="123", updated_at="today", x_id="111", x_name="test")) cur.execute("SELECT * from f_test") rs1 = cur.fetchall() for rows2 in rs1: propertiesObj = [] d["name"]="propName" d["type"]="TypeName" d["value"]="Value1" propertiesObj.append(d) jsonobj['play_list']["ads"].append() Here in the above line I want to add another child node to [play_list].[ads] which is a array list again. the output should look like the following [list].[ads].[preferences].

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  • Problem with SQLite executemany

    - by Strider1066
    I can't find my error in the following code. When it is run a type error is given for line: cur.executemany(sql % itr.next()) = 'function takes exactly 2 arguments (1 given), import sqlite3 con = sqlite3.connect('test.sqlite') cur = con.cursor() cur.execute("create table IF NOT EXISTS fred (dat)") def newSave(className, fields, objData): sets = [] itr = iter(objData) if len(fields) == 1: sets.append( ':' + fields[0]) else: for name in fields: sets.append( ':' + name) if len(sets)== 1: colNames = sets[0] else: colNames = ', '.join(sets) sql = " '''insert into %s (%s) values(%%s)'''," % (className, colNames) print itr.next() cur.executemany(sql % itr.next()) con.commit() if __name__=='__main__': newSave('fred', ['dat'], [{'dat':1}, {'dat':2}, { 'dat':3}, {'dat':4}]) I would appreciate your thoughts.

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  • problem on strings, tuple strings

    - by suresh
    Write a function, called constrainedMatchPair which takes three arguments: a tuple representing starting points for the first substring, a tuple representing starting points for the second substring, and the length of the first substring. The function should return a tuple of all members (call it n) of the first tuple for which there is an element in the second tuple (call it k) such that n+m+1 = k, where m is the length of the first substring. Complete the definition def constrainedMatchPair(firstMatch,secondMatch,length):

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  • Changing printer preferences in Windows programmatically

    - by Andrew Alexander
    I've written a script that installs several printers for a new user. I want to change the settings on some of these so that they can print on both sides of the page. I BELIEVE this involves modifying an attribute with printui, however it might need VB script or possibly another .NET language (I'd either use VB, C# or IronPython). I can add a comment to a given printer, but how do I select preferences and modify them? Pseudocode would look like this: printui.exe /n printername /??? [how to change quality desired] OR calls to the relevant Windows API.

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  • How to sort a Pandas DataFrame according to multiple criteria?

    - by user1715271
    I have the following DataFrame containing song names, their peak chart positions and the number of weeks they spent at position no 1: Song Peak Weeks 76 Paperback Writer 1 16 117 Lady Madonna 1 9 118 Hey Jude 1 27 22 Can't Buy Me Love 1 17 29 A Hard Day's Night 1 14 48 Ticket To Ride 1 14 56 Help! 1 17 109 All You Need Is Love 1 16 173 The Ballad Of John And Yoko 1 13 85 Eleanor Rigby 1 14 87 Yellow Submarine 1 14 20 I Want To Hold Your Hand 1 24 45 I Feel Fine 1 15 60 Day Tripper 1 12 61 We Can Work It Out 1 12 10 She Loves You 1 36 155 Get Back 1 6 8 From Me To You 1 7 115 Hello Goodbye 1 7 2 Please Please Me 2 20 92 Strawberry Fields Forever 2 12 93 Penny Lane 2 13 107 Magical Mystery Tour 2 16 176 Let It Be 2 14 0 Love Me Do 4 26 157 Something 4 9 166 Come Together 4 10 58 Yesterday 8 21 135 Back In The U.S.S.R. 19 3 164 Here Comes The Sun 58 19 96 Sgt. Pepper's Lonely Hearts Club Band 63 12 105 With A Little Help From My Friends 63 7 I'd like to rank these songs in order of popularity, so I'd like to sort them according to the following criteria: songs that reached the highest position come first, but if there is a tie, the songs that remained in the charts for the longest come first. I can't seem to figure out how to do this in Pandas.

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  • Divide numpy array

    - by BandGap
    Hi all I have some data represented in a 1300x1341 matrix. I would like to split this matrix in several pieces (e.g. 9) so that I can loop over and process them. The data needs to stay ordered in the sense that x[0,1] stays below (or above if you like) x[0,0] and besides x[1,1]. Just like if you had imaged the data, you could draw 2 vertical and 2 horizontal lines over the image to illustrate the 9 parts. If I use numpys reshape (eg. matrix.reshape(9,260,745) or any other combination of 9,260,745) it doesn't yield the required structure since the above mentioned ordering is lost... Did I misunderstand the reshape method or can it be done this way? What other pythonic/numpy way is there to do this?

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  • What is the difference between .get() and .fetch(1)

    - by AutomatedTester
    I have written an app and part of it is uses a URL parser to get certain data in a ReST type manner. So if you put /foo/bar as the path it will find all the bar items and if you put /foo it will return all items below foo So my app has a query like data = Paths.all().filter('path =', self.request.path).get() Which works brilliantly. Now I want to send this to the UI using templates {% for datum in data %} <div class="content"> <h2>{{ datum.title }}</h2> {{ datum.content }} </div> {% endfor %} When I do this I get data is not iterable error. So I updated the Django to {% for datum in data.all %} which now appears to pull more data than I was giving it somehow. It shows all data in the datastore which is not ideal. So I removed the .all from the Django and changed the datastore query to data = Paths.all().filter('path =', self.request.path).fetch(1) which now works as I intended. In the documentation it says The db.get() function fetches an entity from the datastore for a Key (or list of Keys). So my question is why can I iterate over a query when it returns with fetch() but can't with get(). Where has my understanding gone wrong?

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  • How do I make BeautifulSoup parse the contents of textarea tags as HTML?

    - by brofield
    Before 3.0.5, BeautifulSoup used to treat the contents of <textarea as HTML. It now treats it as text. The document I am parsing has HTML inside the textarea tags, and I am trying to process it. I've tried: for textarea in soup.findAll('textarea'): contents = BeautifulSoup.BeautifulSoup(textarea.contents) textarea.replaceWith(contents.html(text=True)) But I'm getting errors. I can't find this in the documentation, and the alternative parsers aren't helping. Anyone know how I can parse the textareas as HTML?

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  • Serving large generated files using Google App Engine?

    - by John Carter
    Hiya, Presently I have a GAE app that does some offline processing (backs up a user's data), and generates a file that's somewhere in the neighbourhood of 10 - 100 MB. I'm not sure of the best way to serve this file to the user. The two options I'm considering are: Adding some code to the offline processing code that 'spoofs' it as a form upload to the blob store, and going thru the normal blobstore process to serve the file. Having the offline processing code store the file somewhere off of GAE, and serving it from there. Is there a much better approach I'm overlooking? I'm guessing this is functionality that isn't well suited to GAE. I had thought of storing in the datastore as db.Text or Dd.Blob but there I encounter the 1 MB limit. Any input would be appreciated,

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  • list comprehension example

    - by self
    can we use elif in list comprehension? example : l = [1, 2, 3, 4, 5] for values in l: if values==1: print 'yes' elif values==2: print 'no' else: print 'idle' can we use list comprehension for such 2 if conditions and one else condition? foe example answer like : ['yes', 'no', 'idle', 'idle', 'idle'] I have done till now only if else in list comprehension.

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