Mercurial > pylearn
view doc/v2_planning/coding_style.txt @ 1157:9686c0d9689d
Quick implementation of the Dataset Api we propose.
author | Arnaud Bergeron <abergeron@gmail.com> |
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date | Fri, 17 Sep 2010 12:01:12 -0400 |
parents | d422f726c156 |
children | 56c5f0990869 |
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Discussion of Coding-Style ========================== Participants ------------ - Dumitru - Fred - David - Olivier D [leader] Fred: This is a refactored thing from James email of what we should put in message that we send to the user: 1) Hint where in the code this log come from. 2) Hint how to hide this message? or we should this into documentation. 3) Tell explicitly if the user can ignore it and the consequence. Existing Python coding style specifications and guidelines ---------------------------------------------------------- * http://www.python.org/dev/peps/pep-0008/ Style Guide for Python Code * http://www.python.org/dev/peps/pep-0257/ Docstring Conventions * http://google-styleguide.googlecode.com/svn/trunk/pyguide.html Google Python Style Guide * http://www.voidspace.org.uk/python/articles/python_style_guide.shtml * http://python.net/~goodger/projects/pycon/2007/idiomatic/handout.html * http://www.cs.caltech.edu/courses/cs11/material/python/misc/python_style_guide.html * http://barry.warsaw.us/software/STYLEGUIDE.txt * http://self.maluke.com/style * http://chandlerproject.org/Projects/ChandlerCodingStyleGuidelines * http://lists.osafoundation.org/pipermail/dev/2003-March/000479.html * http://learnpython.pbworks.com/PythonTricks * http://eikke.com/how-not-to-write-python-code/ * http://jaynes.colorado.edu/PythonGuidelines.html * http://docs.djangoproject.com/en/dev/internals/contributing/#coding-style * http://projects.scipy.org/numpy/wiki/CodingStyleGuidelines We will probably want to take PEP-8 as starting point, and read what other people think about it / how other coding guidelines differ from it. Dumi: we should also try to find tools that automate these processes: pylint, pyflakes, pychecker, pythontidy OD: Things about PEP 8 I don't like (but it may be just me): * If necessary, you can add an extra pair of parentheses around an expression, but sometimes using a backslash looks better. --> I rarely find that backslash looks better. In most situations you can get rid of them. Typically I prefer: if (cond_1 and cond_2 and cond_3): to if cond_1 and \ cond_2 and \ cond_3: * You should use two spaces after a sentence-ending period. --> Looks weird to me. (DWF: This is an old convention from the typewriter era. It has more or less been wiped out by HTML's convention of ignoring extra whitespace: see http://en.wikipedia.org/wiki/Sentence_spacing for more detail. I think it's okay to drop this convention in source code.) * Imports should usually be on separate lines --> Can be a lot of lines wasted for no obvious benefit. I think this is mostly useful when you import different modules from different places, but I would say that for instance for standard modules it would be better to import them all on a single line (doing multiple lines only if there are too many of them), e.g. prefer: import os, sys, time to import os import sys import time However, I agree about separating imports between standard lib / 3rd party, e.g. prefer: import os, sys, time import numpy, scipy to import numpy, os, scipy, sys, time (Personal note: preferably order imports by alphabetical order, makes it easier to quickly see if a specific module is already imported, and avoids duplicated imports) * Missing in PEP 8: - How to indent multi-line statements? E.g. do we want x = my_func(a, b, c, d, e, f) or x = my_func(a, b, c, d, e, f) or x = my_func( a, b, c, d, e, f) --> Probably depends on the specific situation, but we could have a few typical examples (and the same happens with multi-lines lists) (Fred: I would do 2 or 3, but not 1. I find it more redable when the indent is broken after a paranthesis then at any point. OD: After thinking about it, I agreee as well. My recommendation would be to go with 2 when it can fit on two lines, and 3 otherwise. Same with lists. * From PEP 257: The BDFL [3] recommends inserting a blank line between the last paragraph in a multi-line docstring and its closing quotes, placing the closing quotes on a line by themselves. This way, Emacs' fill-paragraph command can be used on it. --> I have nothing against Emacs, but this is ugly! Documentation ------------- How do we write doc? Compatibility with various Python versions ------------------------------------------ * Which Python 2.x version do we want to support? * Is it reasonable to have coding guidelines that would make the code as compatible as possible with Python 3? C coding style -------------- We also need a c-style coding style. Meeting 2010/09/09 ------------------ * Coding guidelines PEP 8 & Google should be a good basis to start with. Task: Highlight the most important points in them (OD). * Documentation Use RST with Sphinx. Task: Provide specific examples on how to document a class, method, and some specific classes like Op (DE). Modify the theano documentation to include that. * Python versions to be supported Support 2.4 (because some of the clusters are still running 2.4) and write code that can be converted to 3.x with 2to3 in a straightforward way. Task: Write to-do's and to-not-do's to avoid compatibility issues. (OD) (DWF: Pauli Virtanen and others have put together extensive documentation in the process of porting NumPy to Py3K, see his notes at http://projects.scipy.org/numpy/browser/trunk/doc/Py3K.txt -- this is the most complete resource for complicated combinations of Python and C). * C coding style How to write C code (in particular for Numpy / Cuda), and how to mix C and Python. Task: See if there would be a sensible C code style to follow (maybe look how Numpy does it), and how projects that mix C and Python deal with it (e.g. use separate files, or be able to have mixed syntax highlighting?) (FB) * Program output Use the warning and logging modules. Avoid print as much as possible. Task: Look into these modules to define general guidelines e.g. to decide when to use warning instead of logging. (DWF) * Automatized code verification Use pychecker & friends to make sure everything is fine. Task: Look into the various options available (DE) * Tests Force people to write tests. Automatic email reminder of code lines not covered by tests (see if we can get this from nosetests). Decorator to mark some classes / methods as not being tested yet, so as to be able to automatically warn the user when he is using untested stuff (and to remind ourselves we should add a test). Task: See feasibility. (OD) * VIM / Emacs plugins / config files To enforce good coding style automatically. Task: Look for existing options. (FB) (DWF: I have put some time into this for vim, I will send around my files) Suggestion by PV ---------------- Have a sample code that showcases everything one should comply to. Some coding guidlines (work-in-progress from OD) ------------------------------------------------ * Avoid using lists if all you care about is iterating on something. Using lists: - uses more memory (and possibly more CPU if the code may break out of the iteration) - can lead to ugly code when converted to Python 3 with 2to3 - can have a different behavior if evaluating elements in the list has side effects (if you want these side effects, make it explicit by assigning the list to some variable before iterating on it) Iterative version List version my_dict.iterkeys() my_dict.keys() my_dict.itervalues() my_dict.values() my_dict.iteritems() my_dict.items() itertools.imap map itertools.ifilter filter itertools.izip zip xrange range * Use `in` on container objects instead of using class-specific methods. It is easier to read and may allow you to use your code with different container types. Yes No --- -- key in my_dict my_dict.has_key(key) sub_string in my_string my_string.find(sub_string) >= 0 * (Point to debate) Avoid contractions in code comments (particularly in documentation): "We do not add blue to red because it does not look good" rather than "We don't add blue to red because it doesn't look good". I mostly find it to be cleaner (been used to it while writing scientific articles too). * (Point to debate) Imperative vs. third-person comments. I am used to the imperative form and like it better only because it typically saves one letter (the 's'): "Return the sum of elements in x" rather than "Returns the sum of elements in x". * (Point to debate) I like always doing the following when subclassing a class A: class B(A): def __init__(self, b_arg_1, b_arg_2, **kw): super(B, self).__init__(**kw) ... The point here is that the constructor always allow for extra keyword arguments (except for the class at the very top of the hierarchy), which are automatically passed to the parent class. Pros: - You do not need to repeat the parent class arguments whenever you write a new subclass. - Whenever you add an argument to the parent class, all child classes can benefit from it without modifying their code. Cons: - One needs to look at the parent classes to see what these arguments are. - You cannot use a **kw argument in your constructor for your own selfish purpose. - I have no clue whether one could do this with multiple inheritance. - More? Question: Should we encourage this in Pylearn? * Generally prefer list comprehensions to map / filter, as the former are easier to read. Yes: non_comments = [line.strip() for line in my_file.readlines() if not line.startswith('#')] No: non_comments = map(str.strip, filter(lambda line: not line.startswith('#'), my_file.readlines())) * Use the `key` argument instead of `cmp` when sorting (for Python 3 compatibility). Yes: my_list.sort(key=abs) No: my_list.sort(cmp=lambda x, y: cmp(abs(x), abs(y))) * Use // for integer division (for readability and Python 3 compatibility). Yes: n_samples_per_split = n_samples // n_splits No: n_samples_per_split = n_samples / n_splits * Only use ASCII characters in code files. * Code indent must be done with four blank characters (not with tabs). * Whenever you read / write binary files, specify it in the mode ('rb' for reading, 'wb' for writing). This is important for cross-platform and Python 3 compatibility (e.g. when pickling / unpickling objects). * Avoid tuple parameter unpacking to avoid very ugly code when converting to Python 3. Yes: def f(x, y_z): y, z = y_z No: def f(x, (y, z)) * Only use cPickle, not pickle. * Always raise exception with raise MyException(args) where MyException inherits from Exception. Mercurial commits ----------------- * How to write good commit messages? * Standardize the merge commit text (what is the message from fetch?)