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Search found 200 results on 8 pages for 'pythonic'.

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  • Finding the definition of a bash function

    - by pythonic metaphor
    I work in an environment that has a lot of legacy shell script magic lying around. One thing used heavy from the command line are bash functions that get sourced from some file included from some file included from some file ... included in my .bash_profile. Is there a way to get the definition or even better the location of the definition of these functions without tracking them down through 5 levels of includes?

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  • What steps to take when CPAN installation fails?

    - by pythonic metaphor
    I have used CPAN to install perl modules on quite a few occasions, but I've been lucky enough to just have it work. Unfortunately, I was trying to install Thread::Pool today and one of the required dependencies, Thread::Converyor::Monitored failed the test: Test Summary Report ------------------- t/Conveyor-Monitored02.t (Wstat: 65280 Tests: 89 Failed: 0) Non-zero exit status: 255 Parse errors: Tests out of sequence. Found (2) but expected (4) Tests out of sequence. Found (4) but expected (5) Tests out of sequence. Found (5) but expected (6) Tests out of sequence. Found (3) but expected (7) Tests out of sequence. Found (6) but expected (8) Displayed the first 5 of 86 TAP syntax errors. Re-run prove with the -p option to see them all. Files=3, Tests=258, 6 wallclock secs ( 0.07 usr 0.03 sys + 4.04 cusr 1.25 csys = 5.39 CPU) Result: FAIL Failed 1/3 test programs. 0/258 subtests failed. make: *** [test_dynamic] Error 255 ELIZABETH/Thread-Conveyor-Monitored-0.12.tar.gz /usr/bin/make test -- NOT OK //hint// to see the cpan-testers results for installing this module, try: reports ELIZABETH/Thread-Conveyor-Monitored-0.12.tar.gz Running make install make test had returned bad status, won't install without force Failed during this command: ELIZABETH/Thread-Conveyor-Monitored-0.12.tar.gz: make_test NO What steps do you take to start seeing why an installation failed? I'm not even sure how to begin tracking down what's wrong.

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  • Java dev learning Python: what concepts do I need to wrap my head around?

    - by LRE
    I've run through a few tutorials and written some small projects. I'm right in the middle of a small project now infact. All is going well enough thanks in no small part to Uncle Google (who usually points me to Stackoverflow ;-) Several times in the last few days I've found myself wondering "what am I missing?" - I feel that I'm still thinking in Java as I write in Python. This question over at StackOverflow is full of tips about what resources to read up on for learning Python, but I still feel that I'm a Java dev with a dictionary (pun unintended) to translate into Python. What I really want to do is refactor my head to be able to write Pythonic Python instead of Java disguised as Python (not that I want to loose my Java skills). So, the crux of my question is: what concepts does a Java dev really need to learn to think Pythonic? This includes anything that needs to be un-learnt. ps: I consider language syntax to not be particularly relevant to this question.

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  • Removing files with strange names

    - by pythonic metaphor
    Somehow I ended up with a file named "-r". How do I remove it? rm -r doesn't work. I tried 'rm -i `ls -a`' to step through the file names, but it didn't prompt me to delete this one. Edit A very hacky approach was to use python's os.unlink function. That worked, but I'm curious to hear other ways.

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  • Java dev learning Python: what concepts do I need to wrap my head around?

    - by LRE
    I've run through a few tutorials and written some small projects. I'm right in the middle of a small project now infact. All is going well enough thanks in no small part to Uncle Google (who usually points me to Stackoverflow ;-) Several times in the last few days I've found myself wondering "what am I missing?" - I feel that I'm still thinking in Java as I write in Python. This question over at StackOverflow is full of tips about what resources to read up on for learning Python, but I still feel that I'm a Java dev with a dictionary (no pun intended) to translate into Python. What I really want to do is refactor my head to be able to write Pythonic Python instead of Java disguised as Python (not that I want to loose my Java skills). So, the crux of my question is: what concepts does a Java dev really need to learn to think Pythonic? This includes anything that needs to be un-learnt. ps: I consider language syntax to not be particularly relevant to this question.

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  • scp -q isn't quiet between different hosts

    - by pythonic metaphor
    So scp -q file host:file and scp -q host:file file are both quiet, i.e. don't give the progress meter. But when I run scp -q host1:file host2:file, I still get the progress meter as well as a Connection to host1 closed. message. The progress meter can be gotten rid of by redirected stdout to /dev/null (although I'd rather not have to), but the connection closed messages comes on stderr, which I definitely want to keep in case there's a real error. How can I make scp quiet? Do I have to run ssh host1 "scp -q file host2:file"?

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  • Why is the "file" command get confused on .py files?

    - by pythonic metaphor
    I have several python modules that I've written. Randomly, I used file on this directory, and I was really surprised by what I saw. Here's the resulting count of what it thought the files were: 1 ASCII Java program text, with very long lines 1 a /bin/env python script text executable 1 a python script text executable 2 ASCII C++ program text 4 ASCII English text 18 ASCII Java program text That's strange! Any idea what's going on or why it seems to think python modules are very often java files? I'm using CentOS 5.2.

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  • Python's Popen cleanup

    - by pythonic metaphor
    I wanted to use a python equivalent to piping some shell commands in perl. Something like the python version of open(PIPE, "command |"). I go to the subprocess module and try this: p = subprocess.Popen("zgrep thingiwant largefile", shell=True, stdout=subprocess.PIPE) This works for reading the output the same way I would in perl, but it doesn't clean itself up. When I exit the interpreter, I get grep: writing output: Broken pipe spewed all over stderr a few million times. I guess I had naively hoped all this would be taken care of for me, but that's not true. Calling terminate or kill on p doesn't seem to help. Look at the process table, I see that this kills the /bin/sh process, but leaves the child gzip in place to complain about the broken pipe. What's the right way to do this?

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  • Gzip and subprocess' stdout in python

    - by pythonic metaphor
    I'm using python 2.6.4 and discovered that I can't use gzip with subprocess the way I might hope. This illustrates the problem: May 17 18:05:36> python Python 2.6.4 (r264:75706, Mar 10 2010, 14:41:19) [GCC 4.1.2 20071124 (Red Hat 4.1.2-42)] on linux2 Type "help", "copyright", "credits" or "license" for more information. >>> import gzip >>> import subprocess >>> fh = gzip.open("tmp","wb") >>> subprocess.Popen("echo HI", shell=True, stdout=fh).wait() 0 >>> fh.close() >>> [2]+ Stopped python May 17 18:17:49> file tmp tmp: data May 17 18:17:53> less tmp "tmp" may be a binary file. See it anyway? May 17 18:17:58> zcat tmp zcat: tmp: not in gzip format Here's what it looks like inside less HI ^_<8B>^H^Hh<C0><F1>K^B<FF>tmp^@^C^@^@^@^@^@^@^@^@^@ which looks like it put in the stdout as text and then put in an empty gzip file. Indeed, if I remove the "Hi\n", then I get this: May 17 18:22:34> file tmp tmp: gzip compressed data, was "tmp", last modified: Mon May 17 18:17:12 2010, max compression What is going on here?

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  • Conditional type definitions

    - by pythonic metaphor
    I'm sure that boost has some functions for doing this, but I don't know the relevant libraries well enough. I have a template class, which is pretty basic, except for one twist where I need to define a conditional type. Here is the psuedo code for what I want struct PlaceHolder {}; template <typename T> class C{ typedef (T == PlaceHolder ? void : T) usefulType; }; How do I write that type conditional?

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  • Spawning a thread in python

    - by morpheous
    I have a series of 'tasks' that I would like to run in separate threads. The tasks are to be performed by separate modules. Each containing the business logic for processing their tasks. Given a tuple of tasks, I would like to be able to spawn a new thread for each module as follows. from foobar import alice, bob charles data = getWorkData() # these are enums (which I just found Python doesn't support natively) :( tasks = (alice, bob, charles) for task in tasks # Ok, just found out Python doesn't have a switch - @#$%! # yet another thing I'll need help with then ... switch case alice: #spawn thread here - how ? alice.spawnWorker(data) No prizes for guessing I am still thinking in C++. How can I write this in a Pythonic way using Pythonic 'enums' and 'switch'es, and be able to run a module in a new thread. Obviously, the modules will all have a class that is derived from a ABC (abstract base class) called Plugin. The spawnWorker() method will be declared on the Plugin interface and defined in the classes implemented in the various modules. Maybe, there is a better (i.e. Pythonic) way of doing all this?. I'd be interested in knowing

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  • How to Pythonically yield all values from a list?

    - by bodacydo
    Suppose I have a list that I wish not to return but to yield values from. What is the most Pythonic way to do that? Here is what I mean. Thanks to some non-lazy computation I have computed the list ['a', 'b', 'c', 'd'], but my code through the project uses lazy computation, so I'd like to yield values from my function instead of returning the whole list. I currently wrote it as following: List = ['a', 'b', 'c', 'd'] for item in List: yield item But this doesn't feel Pythonic to me. Looking forward to some suggestions, thanks. Boda Cydo.

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  • Rationale behind Python's preferred for syntax

    - by susmits
    What is the rationale behind the advocated use of the for i in xrange(...)-style looping constructs in Python? For simple integer looping, the difference in overheads is substantial. I conducted a simple test using two pieces of code: File idiomatic.py: #!/usr/bin/env python M = 10000 N = 10000 if __name__ == "__main__": x, y = 0, 0 for x in xrange(N): for y in xrange(M): pass File cstyle.py: #!/usr/bin/env python M = 10000 N = 10000 if __name__ == "__main__": x, y = 0, 0 while x < N: while y < M: y += 1 x += 1 Profiling results were as follows: bash-3.1$ time python cstyle.py real 0m0.109s user 0m0.015s sys 0m0.000s bash-3.1$ time python idiomatic.py real 0m4.492s user 0m0.000s sys 0m0.031s I can understand why the Pythonic version is slower -- I imagine it has a lot to do with calling xrange N times, perhaps this could be eliminated if there was a way to rewind a generator. However, with this deal of difference in execution time, why would one prefer to use the Pythonic version?

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  • Python comparing string against several regular expressions

    - by maerics
    I'm pretty experienced with Perl and Ruby but new to Python so I'm hoping someone can show me the Pythonic way to accomplish the following task. I want to compare several lines against multiple regular expressions and retrieve the matching group. In Ruby it would be something like this: STDIN.each_line do |line| case line when /^A:(.*?)$/ then puts "FOO: #{$1}" when /^B:(.*?)$/ then puts "BAR: #{$1}" # when ... else puts "NO MATCH: #{line}" end end My attempts in Python are turning out pretty ugly because the matching group is returned from a call to match/search on a regular expression and Python has no assignment in conditionals or switch statements. What's the Pythonic way to do (or think!) about this problem?

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  • dependency injection example project suggestion

    - by TokenMacGuy
    I'm exploring dependency injection and trying to make the exercise as pythonic as possible; existing dependency injection frameworks seem very java-like. I've made some pretty good progress building my own framework, but I could really use a model project to validate the framework against. An ideal suggestion would be something that is hard without dependency injection, but is otherwise conceptually trivial.

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  • Are there any technical obstacles for implementing `function* ()` syntax

    - by shabunc
    In Python we have yield which is very similar to that one which is proposed in ES6 (in fact, pythonic co-routines were the main source of inspiration for implementing co-routines in I wonder what are the reasons for choosing a separate function* () syntax for generators compared to just defining "regular" functions with yeilds - just like in python by the way? I'm talking strictly of technical issues and peculiarities. Why it had been decided that a separate form will be more appropriate?

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