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you have probably seen some. There are (at least) two distinguishable kinds of errors: syntax errors and exceptions. 8.1. Syntax Errors¶ Syntax errors, also known as parsing errors, are perhaps the most common kind of python error types complaint you get while you are still learning Python: >>> while True print 'Hello world'

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File "", line 1 while True print 'Hello world' ^ SyntaxError: invalid syntax The parser repeats the offending line and displays a

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little ‘arrow' pointing at the earliest point in the line where the error was detected. The error is caused by (or at least detected at) the token preceding the arrow: in the example, the error is

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detected at the keyword print, since a colon (':') is missing before it. File name and line number are printed so you know where to look in case the input came from a script. 8.2. Exceptions¶ Even if a statement or expression is syntactically correct, it may cause an error when an attempt is made to execute it. Errors detected during execution are called exceptions and are not unconditionally fatal: python throw error and exit you will soon learn how to handle them in Python programs. Most exceptions are not handled by programs, however, and result in error messages as shown here: >>> 10 * (1/0) Traceback (most recent call last): File "", line 1, in ZeroDivisionError: integer division or modulo by zero >>> 4 + spam*3 Traceback (most recent call last): File "", line 1, in NameError: name 'spam' is not defined >>> '2' + 2 Traceback (most recent call last): File "", line 1, in TypeError: cannot concatenate 'str' and 'int' objects The last line of the error message indicates what happened. Exceptions come in different types, and the type is printed as part of the message: the types in the example are ZeroDivisionError, NameError and TypeError. The string printed as the exception type is the name of the built-in exception that occurred. This is true for all built-in exceptions, but need not be true for user-defined exceptions (although it is a useful convention). Standard exception names are built-in identifiers (not reserved keywords). The rest of the line provides detail based on the type of exception and what caused it. The preceding part of the error message shows the context where the exception happened, in the form of a stack traceback. In gene

here for a quick overview of the site Help Center Detailed answers to any questions you might have Meta Discuss the workings and policies of this site About Us Learn more about Stack Overflow the company Business Learn more about hiring syntax for generic except clause in python developers or posting ads with us Stack Overflow Questions Jobs Documentation Tags Users Badges Ask Question python raise generic exception x Dismiss Join the Stack Overflow Community Stack Overflow is a community of 6.2 million programmers, just like you, helping each other. Join python raise exception with custom message them; it only takes a minute: Sign up Starting python debugger automatically on error up vote 107 down vote favorite 76 This is a question I have wondered about for quite some time, yet I have never found a suitable https://docs.python.org/2.7/tutorial/errors.html solution. If I run a script and I come across, let's say an IndexError, python prints the line, location and quick description of the error and exits. Is it possible to automatically start pdb when an error is encountered? I am not against having an extra import statement at the top of the file, nor a few extra lines of code. python debugging share|improve this question asked Oct 28 '08 at 7:37 jeremy 1,14231115 1 Have you considered http://stackoverflow.com/questions/242485/starting-python-debugger-automatically-on-error changing the answer that is accepted? –Joost Oct 18 '15 at 21:34 add a comment| 10 Answers 10 active oldest votes up vote 65 down vote accepted You can use traceback.print_exc to print the exceptions traceback. Then use sys.exc_info to extract the traceback and finally call pdb.post_mortem with that traceback import pdb, traceback, sys def bombs(): a = [] print a[0] if __name__ == '__main__': try: bombs() except: type, value, tb = sys.exc_info() traceback.print_exc() pdb.post_mortem(tb) If you want to start an interactive command line with code.interact using the locals of the frame where the exception originated you can do import traceback, sys, code def bombs(): a = [] print a[0] if __name__ == '__main__': try: bombs() except: type, value, tb = sys.exc_info() traceback.print_exc() last_frame = lambda tb=tb: last_frame(tb.tb_next) if tb.tb_next else tb frame = last_frame().tb_frame ns = dict(frame.f_globals) ns.update(frame.f_locals) code.interact(local=ns) share|improve this answer edited Jan 6 at 0:02 benr 1,6002920 answered Oct 28 '08 at 7:56 Florian Bösch 17.4k103850 the first solution is further discussed at the python cookbook –dirkjot Jun 27 '12 at 20:12 why would anyone prefer code over pdb since the latter seems to expand on the former? –K3---rnc Aug 25 '14 at 21:49 I do have the same question ? Why would you prefer code ? –ARH Feb 19 '15 at 23:06 Then use sys.exc_info to extract the traceback and finally call pdb.p

Sign in Pricing Blog Support Search GitHub This repository Watch 73 Star 1,365 Fork 124 pyinvoke/invoke Code Issues https://github.com/pyinvoke/invoke 95 Pull requests 26 Projects 0 Pulse Graphs Pythonic task management & command execution. http://pyinvoke.org 2,451 commits 9 branches 22 releases 29 contributors BSD-2-Clause Python 99.2% http://pro.arcgis.com/en/pro-app/arcpy/get-started/error-handling-with-python.htm Other 0.8% Python Other Clone or download Clone with HTTPS Use Git or checkout with SVN using the web URL. Open in Desktop Download ZIP Find file python raise Branch: master Switch branches/tags Branches Tags 330-different-approach fab-2-sudo io-thread-hang-errors-350 master oh-boy-encoding rest-of-289 sudo-and-sons-294 test-harness-reorg useful-mock-result Nothing to show before-runner-reorg 0.13.0 0.12.2 0.12.1 0.12.0 0.11.1 0.11.0 0.10.1 0.10.0 0.9.0 0.8.2 0.8.1 0.8.0 0.7.0 0.6.1 0.6.0 0.5.1 0.5.0 0.4.0 0.3.0 0.2.0 0.1.0 Nothing to show New pull request Latest commit 218feb3 Sep 23, 2016 bitprophet Clear python raise exception out old commented-out code, clean up TODO Permalink Failed to load latest commit information. appveyor Add support for CI with Appveyor Mar 5, 2015 completion Get basic --collection matching working for zsh completion Apr 29, 2015 integration Let's see if this works Sep 23, 2016 invoke Clear out old commented-out code, clean up TODO Sep 23, 2016 sites Typo fix Sep 23, 2016 tests s/UnexpectedExit{Failure,}/g Sep 19, 2016 .coveragerc Update coverage stuff to use .coveragerc, and add codecov. Dec 22, 2015 .gitignore Some tools generate coverage.xml now whee Dec 22, 2015 .travis.yml Le sigh Sep 23, 2016 LICENSE On second thought Jan 1, 2016 MANIFEST.in Tidy up MANIFEST.in so source distro includes tasks.py, etc. Feb 8, 2016 README.rst ==dev is no more Sep 15, 2016 THOUGHTS.rst Make shit moved to THOUGHTS re: parameterization actually make sense … Jun 15, 2015 appveyor.yml Add support for CI with Appveyor Mar 5, 2015 dev-requirements.txt Tighter dev-reqs pinning May 8, 2016 setu

for Developers Tools to build location-aware apps ArcGIS Solutions Free template maps and apps for your industry ArcGIS Marketplace Get apps and data for your organization Documentation Pricing Support Esri Sign In user My Profile Sign Out Go ArcGIS Pro HomeGet StartedHelpTool ReferenceArcPySDKCommunity Error handling with Python try-except statementraise statementExecuteError classtraceback Getting error messages from a result object Errors happen. Writing scripts that expect and handle errors can save time and frustration. When a tool returns an error message, ArcPy generates a system error or exception. In Python, you can provide a variety of structures and methods that can handle exceptions. Of course, a script can fail for other reasons not related to a geoprocessing tool. These also need to be caught and dealt with in an appropriate manner. The following sections offer a few techniques that introduce the basics of Python exception handling.When a tool writes an error message, ArcPy generates an arcpy.ExecuteError exception. Python allows you to write a routine that automatically runs when a system error is generated. In this error-handling routine, retrieve the error message from ArcPy and react accordingly. If a script does not have an error-handling routine, it fails immediately, which decreases its robustness. Use error-handling routines to manage errors and improve a script's usability.Geoprocessing tool error messages are accompanied by a six-digit code. These ID codes have been documented to provide additional information on their cause and how they can be dealt with.try-except statementA try-except statement can be used to wrap entire programs or just particular portions of code to trap and identify errors. If an error occurs within the try statement, an exception is raised, and the code under the except statement is executed. Using a basic except statement is the most basic form of error handling.In the following code, Buffer fails because the required

 

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