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  • How to test a project with multiple python versions in a sequential way?

    - by ecolell
    I am developing a python adapter to interact with a 3rd party website, without any json or xml api (http://www.class.noaa.gov/). I have a problem when Travis CI run multiple python tests (of the The Travis CI Build Matrix) concurrently. The project is on GitHub at ecolell/noaaclass and the .travis.yml file is: language: python python: - "2.6" - "2.7" - "3.2" - "3.3" install: - "make deploy" script: "make test-coverage-travis-ci" #nosetests after_success: - "make test-coveralls" Specifically, I have a problem when at least 2 python versions were running their unit tests at the same time, because they use the same account of a website. Is there any option to specify to The Build Matrix the execution of each python version in a secuential way? Or maybe, Is there a better way to do this?

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  • Connect to Mongodb in python

    - by SpawnCxy
    I'm a little confused by the document when I tried to connect to the Mongodb.And I find it's different from mysql.I want to create a new database named "mydb" and insert some posts into it.The follows is what I'm trying. from pymongo.connection import Connection import datetime host = 'localhost' port = 27017 user = 'ucenter' passwd = '123' connection = Connection(host,port) db = connection['mydb'] post = {'author':'mike', 'text':'my first blog post!', 'tags':['mongodb','python','pymongo'], 'date':datetime.datetime.utcnow()} posts = db.posts posts.insert(post) #print str(db.collection_names()) And I got an error as pymongo.errors.OperationFailure: database error: unauthorized.How can I do the authorizing part?Thanks.

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  • Export list as .txt (Python)

    - by Nimbuz
    My Python module has a list that contains all the data I want to save as a .txt file somewhere. The list contains several tuples like so: list = [ ('one', 'two', 'three'), ('four', 'five', 'six')] How do I print the list so each tuple item is separated by a tab and each tuple is separated by a newline? Thanks

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  • best way to find similar items in python

    - by user230911
    I have 1M numbers:N[], and 1 single number n, now I want to find in those 1M numbers that are similar to that single number, say an area of [n-10, n+10]. what's the best way in python to do this? Do I have to sort the 1M number and do an iteration? Thanks

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  • Removing non-breaking spaces from strings using Python

    - by dontsaythekidsname
    Hello: I am having some trouble with a very basic string issue in Python (that I can't figure out). Basically, I am trying to do the following: '# read file into a string myString = file.read() '# Attempt to remove non breaking spaces myString = myString.replace("\u00A0"," ") '# however, when I print my string to output to console, I get: Foo **<C2><A0>** Bar I thought that the "\u00A0" was the escape code for unicode non breaking spaces, but apparently I am not doing this properly. Any ideas on what I am doing wrong?

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  • why python find not working

    - by user283405
    i am using python 2.5.2. The following code not working. def (self, text, findText): index = text.find(findText) print index Although the findText is present in text, but it still returns None. I have printed the values of text and findText and they are present.

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  • MUD in python......

    - by matt
    how do you make a MUD in python can anyone help or start me of i dont have a clue on how to do if anyone knows any other source that i could use then plz let me know?

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  • How do I retrieve program output in Python?

    - by Geoff
    I'm not a Perl user, but from this question deduced that it's exceedingly easy to retrieve the standard output of a program executed through a Perl script using something akin to: $version = `java -version`; How would I go about getting the same end result in Python? Does the above line retrieve standard error (equivalent to C++ std::cerr) and standard log (std::clog) output as well? If not, how can I retrieve those output streams as well? Thanks, Geoff

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  • architecture python question

    - by tom smith
    hi. creating a distributed crawling python app. it consists of a master server, and associated client apps that will run on client servers. the purpose of the client app is to run across a targeted site, to extract specific data. the clients need to go "deep" within the site, behind multiple levels of forms, so each client is specifically geared towards a given site. each client app looks something like main: parse initial url call function level1 (data1) function level1 (data) parse the url, for data1 use the required xpath to get the dom elements call the next function call level2 (data) function level2 (data2) parse the url, for data2 use the required xpath to get the dom elements call the next function call level3 function level3 (dat3) parse the url, for data3 use the required xpath to get the dom elements call the next function call level4 function level4 (data) parse the url, for data4 use the required xpath to get the dom elements at the final function.. --all the data output, and eventually returned to the server --at this point the data has elements from each function... my question: given that the number of calls that is made to the child function by the current function varies, i'm trying to figure out the best approach. each function essentialy fetches a page of content, and then parses the page using a number of different XPath expressions, combined with different regex expressions depending on the site/page. if i run a client on a single box, as a sequential process, it'll take awhile, but the load on the box is rather small. i've thought of attempting to implement the child functions as threads from the current function, but that could be a nightmare, as well as quickly bring the "box" to its knees! i've thought of breaking the app up in a manner that would allow the master to essentially pass packets to the client boxes, in a way to allow each client/function to be run directly from the master. this process requires a bit of rewrite, but it has a number of advantages. a bunch of redundancy, and speed. it would detect if a section of the process was crashing and restart from that point. but not sure if it would be any faster... i'm writing the parsing scripts in python.. so... any thoughts/comments would be appreciated... i can get into a great deal more detail, but didn't want to bore anyone!! thanks! tom

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  • get_or_create generic relations in Django & python debugging in general

    - by rabidpebble
    I ran the code to create the generically related objects from this demo: http://www.djangoproject.com/documentation/models/generic_relations/ Everything is good intially: >>> bacon.tags.create(tag="fatty") <TaggedItem: fatty> >>> tag, newtag = bacon.tags.get_or_create(tag="fatty") >>> tag <TaggedItem: fatty> >>> newtag False But then the use case that I'm interested in for my app: >>> tag, newtag = bacon.tags.get_or_create(tag="wholesome") Traceback (most recent call last): File "<console>", line 1, in <module> File "/usr/local/lib/python2.6/dist-packages/django/db/models/manager.py", line 123, in get_or_create return self.get_query_set().get_or_create(**kwargs) File "/usr/local/lib/python2.6/dist-packages/django/db/models/query.py", line 343, in get_or_create raise e IntegrityError: app_taggeditem.content_type_id may not be NULL I tried a bunch of random things after looking at other code: >>> tag, newtag = bacon.tags.get_or_create(tag="wholesome", content_type=TaggedItem) ValueError: Cannot assign "<class 'generics.app.models.TaggedItem'>": "TaggedItem.content_type" must be a "ContentType" instance. or: >>> tag, newtag = bacon.tags.get_or_create(tag="wholesome", content_type=TaggedItem.content_type) InterfaceError: Error binding parameter 3 - probably unsupported type. etc. I'm sure somebody can give me the correct syntax, but the real problem here is that I have no idea what is going on. I have developed in strongly typed languages for over ten years (x86 assembly, C++ and C#) but am new to Python. I find it really difficult to follow what is going on in Python when things like this break. In the languages I mentioned previously it's fairly straightforward to figure things like this out -- check the method signature and check your parameters. Looking at the Django documentation for half an hour left me just as lost. Looking at the source for get_or_create(self, **kwargs) didn't help either since there is no method signature and the code appears very generic. A next step would be to debug the method and try to figure out what is happening, but this seems a bit extreme... I seem to be missing some fundamental operating principle here... what is it? How do I resolve issues like this on my own in the future?

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  • complex if statement in python

    - by Neverland
    I need to realize a complex if-elif-else statement in Python but I don't get it working. The elif line I need has to check a variable for this conditions: 80, 443 or 1024-65535 inclusive I tried if ... # several checks ... elif (var1 > 65535) or ((var1 < 1024) and (var1 != 80) and (var1 != 443)): # fail else ...

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  • running code if try statements were successful in python

    - by None
    I was wondering if in python there was a simple way to run code if a try statement was successful that wasn't in the try statement itself. Is that what the else or finally commands do (I didn't understand their documentation)? I know I could use code like this: successful = False try: #code that might fail successful = True except: #error handling if code failed if successful: #code to run if try was successful that isn't part of try but I was wondering if there was a shorter way .

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  • Which python mpi library to use?

    - by Dana the Sane
    I'm starting work on some simulations using MPI and want to do the programming in Python/scipy. The scipy site lists a number of mpi libraries, but I was hoping to get feedback on quality, ease of use, etc from anyone who has used one.

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  • Project Euler #290 in python, hint please

    - by debragail
    This solution is grossly inefficient. What am I missing? #!/usr/bin/env python #coding: utf-8 import time from timestrings import * start = time.clock() maxpower = 18 count = 0 for i in range(0, 10 ** maxpower - 1): if i % 9 == 0: result1 = list(str(i)) result2 = list(str(137 * i)) sum1 = 0 for j in result1: sum1 += int(j) sum2 = 0 for j in result2: sum2 += int(j) if sum1 == sum2: print (i, sum1) count += 1 finish = time.clock() print ("Project Euler, Project 290") print () print ("Answer:", count) print ("Time:", stringifytime(finish - start))

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