Path: csiph.com!usenet.pasdenom.info!nntpfeed.proxad.net!proxad.net!feeder1-2.proxad.net!news.tele.dk!news.tele.dk!small.news.tele.dk!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 0.117 X-Spam-Level: * X-Spam-Evidence: '*H*': 0.77; '*S*': 0.00; 'column': 0.07; 'rows': 0.09; 'def': 0.12; 'columns': 0.16; 'conditional': 0.16; 'reminded': 0.16; 'subscripting': 0.16; 'weird': 0.16; 'wrote:': 0.18; 'version.': 0.19; 'seems': 0.21; 'mathematical': 0.24; 'versions': 0.24; 'equivalent': 0.26; 'first,': 0.26; 'second': 0.26; 'post': 0.26; 'header:In-Reply-To:1': 0.27; 'array': 0.29; 'involving': 0.30; 'relative': 0.30; 'said,': 0.30; 'message- id:@mail.gmail.com': 0.30; 'gives': 0.31; 'code': 0.31; 'comments': 0.31; 'routine': 0.31; 'fri,': 0.33; 'third': 0.33; 'except': 0.35; 'beyond': 0.35; 'but': 0.35; 'received:google.com': 0.35; 'version': 0.36; 'false': 0.36; 'version,': 0.38; 'to:addr:python-list': 0.38; 'pm,': 0.38; 'little': 0.38; 'recent': 0.39; 'to:addr:python.org': 0.39; 'how': 0.40; 'expression': 0.60; "you're": 0.61; 'first': 0.61; 'here:': 0.62; "you've": 0.63; 'subject:Need': 0.64; 'more': 0.64; 'different': 0.65; 'url:blogspot': 0.65; 'url:co': 0.67; 'receive': 0.70; 'opinions': 0.70; 'url:v': 0.71; 'url:youtube': 0.71; 'url:watch': 0.77; '2015': 0.84 DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:from:date:message-id:subject:to :content-type:content-transfer-encoding; bh=TGgWpBHbtOtRPKZu3VqZNgHR05Ii6w9Q4JmRv48Xctc=; b=glx1Psso+oQehp9fGs3d/EtKPvVcH+EV30Y11sjjpzUW9DOXVxXM+yvHNKrXBorO7o ntKxbttURbbCWeCOoII2/+Czy71ePwipojvYOr3S7qh8IkSTs+ajnUfCN2TzuESQ5Wl2 FoTv6uCctaQFG/zBdYV80U7XLnAGb/W5jzMsvvzkrGwQr03T6jIIzO8EezMEGTXYw/D8 ruA1qLW4sUhl4n2WO+zTLzlhhmv1rM57vuRflueacFQM4xQa632Rc8K7LDDN0vqQ4x/y pbZ9pqYWSAsSdmBBl4WVX0L708EAApL4XKJCU5b3PeRO5xQmUjiEBJ8z0rRUEAOA/LlG gFCg== X-Received: by 10.43.39.1 with SMTP id tk1mr6797721icb.26.1429324452740; Fri, 17 Apr 2015 19:34:12 -0700 (PDT) MIME-Version: 1.0 In-Reply-To: References: From: Ian Kelly Date: Fri, 17 Apr 2015 20:33:32 -0600 Subject: Re: Need opinions on P vs NP To: Python Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: quoted-printable 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: 58 NNTP-Posting-Host: 2001:888:2000:d::a6 X-Trace: 1429324454 news.xs4all.nl 2915 [2001:888:2000:d::a6]:38806 X-Complaints-To: abuse@xs4all.nl Xref: csiph.com comp.lang.python:89105 On Fri, Apr 17, 2015 at 7:19 PM, Paddy wrote: > Having just seen Raymond's talk on Beyond PEP-8 here: https://www.youtube= .com/watch?v=3Dwf-BqAjZb8M, it reminded me of my own recent post where I am= soliciting opinions from non-newbies on the relative Pythonicity of differ= ent versions of a routine that has non-simple array manipulations. > > The blog post: http://paddy3118.blogspot.co.uk/2015/04/pythonic-matrix-ma= nipulation.html > > The first, (and original), code sample: > > def cholesky(A): > L =3D [[0.0] * len(A) for _ in range(len(A))] > for i in range(len(A)): > for j in range(i+1): > s =3D sum(L[i][k] * L[j][k] for k in range(j)) > L[i][j] =3D sqrt(A[i][i] - s) if (i =3D=3D j) else \ > (1.0 / L[j][j] * (A[i][j] - s)) > return L > > > The second equivalent code sample: > > def cholesky2(A): > L =3D [[0.0] * len(A) for _ in range(len(A))] > for i, (Ai, Li) in enumerate(zip(A, L)): > for j, Lj in enumerate(L[:i+1]): > s =3D sum(Li[k] * Lj[k] for k in range(j)) > Li[j] =3D sqrt(Ai[i] - s) if (i =3D=3D j) else \ > (1.0 / Lj[j] * (Ai[j] - s)) > return L > > > The third: > > def cholesky3(A): > L =3D [[0.0] * len(A) for _ in range(len(A))] > for i, (Ai, Li) in enumerate(zip(A, L)): > for j, Lj in enumerate(L[:i]): > #s =3D fsum(Li[k] * Lj[k] for k in range(j)) > s =3D fsum(Lik * Ljk for Lik, Ljk in zip(Li, Lj[:j])) > Li[j] =3D (1.0 / Lj[j] * (Ai[j] - s)) > s =3D fsum(Lik * Lik for Lik in Li[:i]) > Li[i] =3D sqrt(Ai[i] - s) > return L > > My blog post gives a little more explanation, but I have yet to receive a= ny comments on relative Pythonicity. I prefer the first version. You're dealing with mathematical formulas involving matrices here, so subscripting seems appropriate, and enumerating out rows and columns just feels weird to me. That said, I also prefer how the third version pulls the last column of each row out of the inner loop instead of using a verbose conditional expression that you already know will be false for every column except the last one. Do that in the first version, and I think you've got it.