Path: csiph.com!eternal-september.org!feeder.eternal-september.org!feeds.phibee-telecom.net!newsfeed.xs4all.nl!newsfeed8.news.xs4all.nl!newsgate.cistron.nl!newsgate.news.xs4all.nl!post.news.xs4all.nl!not-for-mail Return-Path: X-Original-To: python-list@python.org Delivered-To: python-list@mail.python.org X-Spam-Status: OK 0.001 X-Spam-Evidence: '*H*': 1.00; '*S*': 0.00; 'url:pypi': 0.03; '(self,': 0.07; 'pypi': 0.07; 'cc:addr:python-list': 0.09; '(instead': 0.09; '__init__': 0.09; 'immutable': 0.09; 'kwargs': 0.09; 'type:': 0.09; 'python': 0.10; 'syntax': 0.13; 'def': 0.13; 'instead.': 0.15; 'producing': 0.15; 'cc:name:python': 0.16; 'drag': 0.16; 'libraries?': 0.16; 'subject:object': 0.16; 'wrote:': 0.16; 'attribute': 0.18; '2015': 0.20; 'cc:2**0': 0.20; 'cc:addr:python.org': 0.20; 'aug': 0.20; 'class,': 0.22; 'cheers,': 0.22; 'passing': 0.23; 'import': 0.24; 'plain': 0.24; 'header:In-Reply-To:1': 0.24; 'mon,': 0.24; 'module': 0.25; 'chris': 0.26; 'message-id:@mail.gmail.com': 0.27; '**kwargs):': 0.29; 'dictionary': 0.29; 'subject:/': 0.30; 'code': 0.30; "i'd": 0.31; 'fixed': 0.31; 'knows': 0.32; 'anybody': 0.32; 'class': 0.33; 'url:python': 0.33; 'curious': 0.33; 'subject:like': 0.33; 'similar': 0.33; 'except': 0.34; 'received:google.com': 0.35; 'could': 0.35; 'functions.': 0.35; 'something': 0.35; 'but': 0.36; 'located': 0.36; 'there': 0.36; 'url:org': 0.36; 'data.': 0.36; 'url:library': 0.36; 'pm,': 0.36; 'subject:: ': 0.37; 'client': 0.37; 'version': 0.38; 'names': 0.38; 'hi,': 0.38; 'data': 0.39; 'subject:-': 0.39; 'url:3': 0.60; 'side': 0.62; 'between': 0.65; 'believe': 0.66; 'overall': 0.72; 'sender:addr:chris': 0.84; 'glad': 0.87; 'subject:looking': 0.91 DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=rebertia.com; s=google; h=mime-version:sender:in-reply-to:references:date:message-id:subject :from:to:cc:content-type; bh=cTGZ3yLHwYri4lUcRiqIECFjPCCd6kkj/oGwz8AwZvk=; b=RAbE3wMNMEXNQ0Yjv3WKCP8md0iVnEt+hoe9E5OJPqF0PJDqICnEcVkgmfKL2oNAaE RDPrEWqR5uaDlChPO4AzEd/fTFGUFIQCMEnJFqw7m82Qj1xVl6U9o66ehfpmaAX38fQa fG4cpTSyN8GTMlfXWeHXfF/gyqb40PrvopmX0= X-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=1e100.net; s=20130820; h=x-gm-message-state:mime-version:sender:in-reply-to:references:date :message-id:subject:from:to:cc:content-type; bh=cTGZ3yLHwYri4lUcRiqIECFjPCCd6kkj/oGwz8AwZvk=; b=hddUZ4PZnAIsB4ADMwLpX/OkK9Hpr+2MBLul7Im4nqQZVnsDSc67nJB6iAnSlir6Yn efuq50ub3HBJ5YykLbOD4E2dkMuBVz/oPjdkd0Rnmv8RYoIi1+A+crKr0LzIkaqSll8B ZZskXXtiCHzcthN992GsnyWhkUm67IZ/0Ga0HOqsecnMhyi5+vVuSAfnZ5GE4+n7wUgw QuPNNFqTKJaIJmOVwm/2ezSg1AhSshkQaBSg/hCF9Vynju/R7gSsHYCcJ705OEojycrH hwPyHz8UcmWF/eGma+lV41Ln6ZxODDZolatedx8oAqKrvU6kh5ByhDqCwTvgj2xdw8XI HZmw== X-Gm-Message-State: ALoCoQmkxjNHi+KLoaRm8bsIdU33QqQJE2WRUL3L0BmDkH+B9dW/zhpeuv3Jayz4cW0HwbvXerPz MIME-Version: 1.0 X-Received: by 10.50.27.39 with SMTP id q7mr14520965igg.73.1439264160284; Mon, 10 Aug 2015 20:36:00 -0700 (PDT) Sender: chris@rebertia.com In-Reply-To: References: Date: Mon, 10 Aug 2015 20:36:00 -0700 X-Google-Sender-Auth: _LhL8kCir5-dxT15POFuftmLYjw Subject: Re: looking for standard/builtin dict-like data object From: Chris Rebert To: Vladimir Ignatov Cc: Python Content-Type: text/plain; charset=UTF-8 X-BeenThere: python-list@python.org X-Mailman-Version: 2.1.20+ Precedence: list List-Id: General discussion list for the Python programming language List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , Newsgroups: comp.lang.python Message-ID: Lines: 35 NNTP-Posting-Host: 2001:888:2000:d::a6 X-Trace: 1439264168 news.xs4all.nl 2825 [2001:888:2000:d::a6]:52204 X-Complaints-To: abuse@xs4all.nl Xref: csiph.com comp.lang.python:95241 On Mon, Aug 10, 2015 at 8:22 PM, Vladimir Ignatov wrote: > Hi, > > In my code I often use my own home-brewed object for passing bunch of > data between functions. Something like: > > class Data(object): > def __init__ (self, **kwargs): > self.__dict__ = kwargs > > .... > > return Data(attr1=..., attr2=..., attr3=...) > > Logically it works like plain dictionary but with nice result.attrX > syntax on client side (instead of resut['attrX']). Overall I am > pretty happy with this approach except that I need to drag Data class > around my projects and import its module in every code producing data. > > I am curious if anybody knows similar "dummy" class located in > standard libraries? I'd be glad to use it instead. This is commonly known as a "Bunch" class, after the Python Cookbook recipe. I don't believe there's any public version of it in the std lib, but there is a PyPI package for it: https://pypi.python.org/pypi/bunch However, if the set of attribute names is fixed and an immutable datatype is acceptable, you could use the std lib's "namedtuple" type: https://docs.python.org/3/library/collections.html#collections.namedtuple Cheers, Chris -- http://chrisrebert.com