Python Memory Validator is a memory leak detection software tool for use by software developers, software quality assurance testers and customer support staff using Python 2.2.
Use Python Memory Validator to:
Find memory leaks quickly and easily with Python Memory Validator.
To use Python Memory Validator all you need is your python program. You do not need to modify your software to use Python Memory Validator.
Drill down to the data in the displays by expanding an entry in the display to display information about the memory leak: What type of object was allocated, what size, where (address, filename, line number<), thread id, allocation timestamp, lifetime and sequence id. Also displayed is a comprehensive callstack showing each class and method name, filename and line number. Each entry can be expanded to display the source code for that line.
Python Memory Validator can be configured to collect all data or just the data you need. Powerful filters for collecting data and for displaying collected data give you maximum flexibility and control over how much CPU time is spent and how much memory is used collecting data allowing you to choose how much effort is put into a given task.
Python Memory Validator provides powerful HTML and XML reporting capabilities, allowing you to produce overnight leak reports as part of your regression testing strategy.
Python Memory Validator works with 32-bit Python versions from 2.2 to 2.7.
As well as the traditional interactive memory leak debugging role, Python Memory Validator can be used to compare two recorded sessions to show the difference between the sessions. This allows you to determine if changes to your code have resulted in improvements (fewer memory leaks) or regressions (more memory leaks).
Python Memory Validator also allows you to automate memory leak testing by launching from the command line.
A full range of command line options allows you to perform unattended runs of Python Memory Validator, complete with HTML export and XML export, to facilitate regression testing as part of your overnight builds.
Example 1 Launch a program with a specific startup directory, using two arguments, and save the session without showing the Python Memory Validator interface.
pMemoryValidator.exe -hideUI -program c:\myProgram.py -directory c:\testbed -arg " -macro c:\macros\testMacro1.vba" -arg "secondArg" -saveSession c:\results\testMacro1.pmvm
Example 2 Launch a program with a specific startup directory, using two arguments, save the session, compare the recorded session with a known baseline and export the comparison results to HTML and XML. The Python Memory Validator interface is not shown.
pMemoryValidator.exe -hideUI -program c:\myProgram.py -directory c:\testbed -arg " -macro c:\macros\testMacro1.vba" -arg "secondArg" -saveSession c:\results\testMacro1.pmvm -baseline c:\baselines\testMacroBaseline.pmvm -sessionCompareHTML c:\regression\testMacro1.html -sessionCompareXML c:\regression\testMacro1.xml
Sorry, there are no software updates for Python Memory Validator.
This is the last version of Python Memory Validator we released in 2014.