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Path: eternal-september.org!news.eternal-september.org!fu-berlin.de!uni-berlin.de!not-for-mail From: ram@zedat.fu-berlin.de (Stefan Ram) Newsgroups: comp.lang.python Subject: Re: Collecting unassigned Expressions Date: 25 Aug 2023 23:31:06 GMT Organization: Stefan Ram Lines: 30 Expires: 1 Sep 2024 11:59:58 GMT Message-ID: <message-20230826002855@ram.dialup.fu-berlin.de> References: <mailman.251.1692876209.23016.python-list@python.org> Mime-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit X-Trace: news.uni-berlin.de aNymjt0oA7YMZ3lBwS7aWgF3IsOEPPNUybAaw1u5PHcEqu Cancel-Lock: sha1:nm45jf0GdKqIxGT7hwDXaQ/9nvo= sha256:SaHh9CcBX4B4HIGIvv50AAQTTIJIFaTdAt9oTp/azic= X-Copyright: (C) Copyright 2023 Stefan Ram. All rights reserved. Distribution through any means other than regular usenet channels is forbidden. It is forbidden to publish this article in the Web, to change URIs of this article into links, and to transfer the body without this notice, but quotations of parts in other Usenet posts are allowed. X-No-Archive: Yes Archive: no X-No-Archive-Readme: "X-No-Archive" is set, because this prevents some services to mirror the article in the web. But the article may be kept on a Usenet archive server with only NNTP access. X-No-Html: yes Content-Language: en-US Accept-Language: de-DE-1901, en-US, it, fr-FR Guenther Sohler <guenther.sohler@gmail.com> writes: >I am wondering If an embedded Python Interpreter can detect unassigned >Expressions. Cases where functions Return values but they are Not >assignwd. E.g. >Calc_square(4) >Or >3*4-myval() 1. If "Calc_square(4)" appears in the context "n=Calc_square(4)", then its value is assigned. So, it is not necessarily an example of a function call expression the value of which is not assigned. 2. In Python function call expressions always have a value. 3. If you can modify the the interpreter, you surely can make it emit an expression such as "Info: The value of the function call expression 'Calc_square(4)' was not bound to an identifier.". 4. You also can use the parser library that comes with Python to parse source code and detect such situations yourself. E.g., import ast .... parse = ast.parse( source, filename ) for entry in ast.walk( parse ): .... .