Python hardware testing

If you are already familiar with the basic concepts of testing, you might want to skip to the list of assert methods. The unittest unit testing framework was originally inspired by JUnit and has a similar flavor as major unit testing frameworks in other languages. It supports test automation, sharing of setup and shutdown code for tests, aggregation of tests into collections, and independence of the tests from the reporting framework.

To achieve this, unittest supports some important concepts in an object-oriented way:. A test fixture represents the preparation needed to perform one or more tests, and any associated cleanup actions.

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This may involve, for example, creating temporary or proxy databases, directories, or starting a server process. A test case is the individual unit of testing. It checks for a specific response to a particular set of inputs. A test suite is a collection of test cases, test suites, or both. It is used to aggregate tests that should be executed together.

A test runner is a component which orchestrates the execution of tests and provides the outcome to the user. The runner may use a graphical interface, a textual interface, or return a special value to indicate the results of executing the tests.

Third-party unittest framework with a lighter-weight syntax for writing tests. An extensive list of Python testing tools including functional testing frameworks and mock object libraries.

This is intended largely for ease of use for those new to unit testing. For production environments it is recommended that tests be driven by a continuous integration system such as BuildbotJenkins or Hudson. The unittest module provides a rich set of tools for constructing and running tests. This section demonstrates that a small subset of the tools suffice to meet the needs of most users.

python hardware testing

A testcase is created by subclassing unittest. The three individual tests are defined with methods whose names start with the letters test. This naming convention informs the test runner about which methods represent tests.

The crux of each test is a call to assertEqual to check for an expected result; assertTrue or assertFalse to verify a condition; or assertRaises to verify that a specific exception gets raised. These methods are used instead of the assert statement so the test runner can accumulate all test results and produce a report.

python hardware testing

The setUp and tearDown methods allow you to define instructions that will be executed before and after each test method. They are covered in more detail in the section Organizing test code.

The final block shows a simple way to run the tests.Download PDF. Python is typically associated with web and internet development but is an invaluable tool for any test engineer. This course gives the test engineer the ability to use Python comfortably and interact with an embedded platform to show the ease with which Python can make the complicated, trivial.

Delegates will gain an understanding of essential programming techniques. This course introduces the Python 3 language for use by test engineers working with embedded systems and external hardware.

The focus is on using Python to automate the testing process, analysis test results, and interact with hardware and external test software. Emphasis is placed on best practices for developing and maintaining Python scripts as well as efficient use of Python data types and OO techniques. Course objectives:. The course is designed for test engineers with experience in at least one programming or scripting language sufficient to work with if statements and for loops.

This course should be attended by engineers required to use Python in a testing role, or those seeking an introduction to Python programming. This course is suitable for those with limited experience of programming and as a refresher to bring Python skills up to date. Python for Test Engineers. Course category.

Training area. Programming Languages. Course code. Additional information. Book now. Course objectives: To provide a solid understanding of the essentials of the Python programming language.

To give you practical experience of writing Python scripts to automate testing. To help you work with test result data and undertake basic numeric data analysis. Who should attend? Duration: 4 days.The unittest module is actually a testing framework that was originally inspired by JUnit. It currently supports test automation, the sharing of setup and shutdown code, aggregating tests into collections and the independence of tests from the reporting framework.

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I always find a code example or two to be the quickest way to learn how something new works. Then put the following code into it:. This module defines four mathematical functions: add, subtract, multiply and divide.

For example, if you were to call the add function with two strings, it would happily concatenate them together and return them. But for the purposes of illustration, this module will do for creating a test case. Then we subclass TestCase and add three tests, which translates into three methods. The first function tests the addition of two integers; the second function tests the addition of two floating point numbers; and the last function concatenates two strings together. This is actually important!

It tells the test runner which methods are tests that it should run. Each test should have at least one assert which will verify that the result is as we expected. The unittest module supports many different types of asserts. You can test for exceptions, for Boolean conditions, and for many other conditions.

Open up a terminal and navigate to the folder that contains your mymath module and your test module:. You will note that there are three periods.

Each period represents a test that has passed. Then it tells us that it ran 3 tests, the time it took and the result: OK. That tells us that all the tests passed successfully. As you can see, this shows us exactly what tests were run and the results of each test.

python hardware testing

This also leads us into our next section where we will learn about some of the commands we can use with unittest on the command line. The unittest module comes with a few other commands that you might find useful. To find out what they are, you can run the unittest module directly and pass it the -h as shown below:.

This will cause the following output to be printed to stdout. Note that I have cut out a portion of the output that covered Test Discovery command line options for brevity:. Then run the following command:. The cool thing about using the unittest module on the command line is that we can use it to call specific functions in our test. Alternatively, if you had multiple test cases in this test module, then you could call just one test case at a time, like this:.

All this does is call our TestAdd subclass and runs all the test methods in it. So the result should be the same as if we ran it in the first example:.

The point of this exercise is that if you were to have additional test cases in this test module, then this method gives you a method to run individual test cases instead of all of them. Most code is a lot more complex than our mymath.

Automated debugging / hardware testing using Python

This is a fairly long example, so bear with me:. You can play around with this code a bit to see how it works.GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. If nothing happens, download GitHub Desktop and try again.

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If nothing happens, download Xcode and try again. If nothing happens, download the GitHub extension for Visual Studio and try again. OpenHTF is a Python library that provides a set of convenient abstractions designed to remove as much boilerplate as possible from hardware test setup and execution, so test engineers can focus primarily on test logic.

It aspires to do so in a lightweight and minimalistic fashion. It is general enough to be useful in a variety of hardware testing scenarios, from the lab bench to the manufacturing floor. NOTE: We recommend using virtualenv to create an isolated Python environments for your projects, so as to protect system-wide Python packages the OS depends upon. The installation instructions assume you've already created a virtualenv and activated it if you wish to do so.

The most straightforward way to get the openhtf Python package into your Python environment is simply to install it via pip. This will install the most recent production release. If you want to install from source instead for example, if you want some new feature that hasn't made it to the production release yetyou can download the source code via git or other means, and install the openhtf package into your Python environment using the standard setup.

In addition, many of OpenHTF's modules are fairly well documented inline through the use of docstrings. This requires protocol buffer compiler library to be installed additional instructions.

OpenHTF uses certain nomenclature internally for several of its core concepts. Some of the more important terms are listed here for clarity. The top-level abstraction that OpenHTF deals with is the test. That way test code is as straightforward as possible to read and write.

This also provides for the flexibility to do anything in a test that can normally be done in Python. At times it may be necessary to disambiguate between different common readings of the word test. In such scenarios we use the following more precise terms:. Stations capture the notion that a given test ran at some point and may run again.

python hardware testing

It loosely reflects the idea of physical test stations that process multiple DUTs over time.Python test script can download the test cases to the target system one by one, receive test output, compare with specifications then verify it, and generate log files.

Its a cost effective test system for SS Electronic hardware manufacturers 3. The intent of a CTP is to ensure consistency in hardware and software test procedures from the conceptual and design phases through manufacture and distribution.

Computers, computer peripherals and electronic systems often contain complex devices, circuits, programs and interfaces. These must all work together in a variety of applications and conditions. A CTP can be part of an overall quality assurance program. A common standard can reduce the cost of test equipment, optimize the use of available test equipment, increase. Consuming a lot of time and effort huge for spending the time for testing.

Certified engineer only able to access the software Add-on software needed for Test case and Report generation. To overcome the existing problem, we construct Embedded hardware test module to measure the. Python scripts collect the complied data's then compare with test case input and generate the test reports. Necessity to test the every protocols chips, Analog and Digital IC.

Constant current probing to the voltage net through voltage divider circuit. Impedance measured by the ADC. Circuit, pronounced "I squared C" is also a synchronous protocol.

Automated Hardware Testing Using Python

That means that master and slave send data over the same wire, again controlled by the master. Serial, balanced and differential are the keywords for the RS interface standard. Serial means, that the information is sent bit by bit on a single transmission line, just like with RS Balanced differential is what makes RS different from RS Test Fixture : It represents the preparation needed to perform one or more tests, and any associate cleanup actions. This may involve, for example, creating temporary or proxy databases, directories, or starting a server process.

Test Case: is the smallest unit of testing. It checks for a specific response to a particular set of inputs. Unit test provides a base class,Test Case which may be used to create new test cases. Test Suite: Test suiteis a collection of test cases, test suites, or both. It is used to aggregate tests that should be executed together.

A unit test is constructed such that all possible inputs are used to force the execution to traverse all possible paths. In the case of ScaledInputwe can see that there are three obvious input test cases.

Too low, Too high, Within range.

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Figure presents general flow chart for writing automatic scripts for functional testing. Manual testing has been reduced Locating the Hardware components and software bugs using test reports.

Low Cost Pursuing softwares are Open source Reduced human efforts. So measuring data goes to the pc with delay. Output data packets compared with test case help of Python Script.

So report generating time taken more. It has been shown quantitatively to reduce test cost more effectively than low-cost ATE. Because it reduces all test cost contributors, and not only capital cost of ATE.This wiki page is originated from PyCheeseCake and it was originally created by Grig Gheorghiu Unit Testing Tools Tool Category Author Part of Claim to fame unittest unit testing Steve Purcell Python standard lib first unit test framework to be included in Python standard library; easy to use by people familiar with the xUnit frameworks; strong support for test organization and reuse via test suites doctest unit testing Tim Peters Python standard lib copy and paste output from shell session; Agile Documentation : unit tests themselves can serve as documentation when combined with epydoc; also see Django's approach pytest unit testing Holger Krekel It used to be named py.

Standalone now. More friendly with unittest.

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TestCase -based tests than py. There are also many plugins available. Trial unittest extensions Jonathan Lange Twisted Extension of unittest to support writing asynchronous unit tests using Deferreds and new result types 'skip' and 'todo'.

Includes a command-line program that does test discovery and integrates with doctest and coverage. It also allows reporting from tests in another process into the unittest framework, giving a single integrated test environment. Resources are constructed and free on demand, but with an optional TestSuite? Compatible with unittest. Fixtures are reusable and can depend on other Fixtures in turn.

Fixtures can be used with any test framework, but easy integration is provided for pytest. A few other test utilities are included as well. Also includes profiling and coverage reporting. This is a standalone package that has no dependencies on Zope and works just fine with projects that don't use Zope.

Hides initialization from doctests by allowing setUp and tearDown for each interactive example. Allows control over all the options provided by doctest. Specialized classes allow selective test discovery across a package hierarchy. The following tools are not currently being developed or maintained as far as we can see.

They are here for completeness, with last activity date and an indication of what documentation there is. If you know better, please edit.

More seriously, makes it easier to browse and inspect your test failures qunittest unit testing Edgewall Easy-to-use PyQt GUI framework and application for use with the Python unit testing framework.

It can be used to conveniently execute unit tests and suites, and then display the results in a useful fashion. Mock Testing Tools See also here for a side-by-side syntax comparison between some of the more popular tools in this space. Tool Category Author Claim to fame Ludibrio mocks, stubs, spy, and dummies Gustavo Rezende Elegant test doubles framework in Python mocks, stubs, spy, and dummies Python Mock mock testing Dave Kirby Python Mock enables the easy creation of mock objects that can be used to emulate the behaviour of any class that the code under test depends on.

You can set up expectations about the calls that are made to the mock object, and examine the history of calls made. This makes it easier to unit test classes in isolation. Download it here. It uses a recording and replay model rather than using a specification language. Easymock lives up to its name compared to other mocking packages.

PyMock takes advantage of python's dynamic nature for futher improvements. Development of pmock has long since stopped and so it can be considered dead. Well-documented and fairly feature-complete. Stubble stub testing Iwan Vosloo Stubble allows you to write arbitrary classes for use as stubs instead of read classes while testing.

Stubble lets you link a stub class loosely to the real class which it is a stub for. This information is then used to ensure that tests will break if there is a discrepancy between the interface supported by your stub class and that of the real class it stands in for. Mox mock testing smiddlek, dglasser Mox is based on EasyMocka Java mock object framework. Mox will make mock objects for you, so you don't have to create your own! You set up your mock objects expected behavior using a domain specific language DSLwhich makes it easy to use, understand, and refactor!

Expectations are very readable and expressive, and checked automatically.It's been around inofficially for quite some time, now I thought it might be helpful to know for those who build their own hardware:. We found that boundary scan tests are kind of ineffective when it comes to complete system testing of Blackfin hardware that interoperates with non JTAG-capable chips, thus we tried to find a way doing this the automated way via scripting without flashing the hardware or needing more interfaces to verify the target.

Since the free Python scripting language seemed the best choice, I've made a few wrapper scripts around the bfemu JTAG library that allows:. We use it to avoid the expensive ICTs, moreover, it saves us quite some time per target - just a simple needle adapter needs to be made to connect to the JTAG to run through a few boards. With the Python mysql module, it's actually quite easy to commit test results and serial numbers, etc.

Apart from that, the scripting solution can be used to debug for example complex multiprocessor issues where unwanted events occur after a certain history. I'd be interested in seeing how you developed those scripts. Is the code available somewhere? There's also some experimental code to integrate this into a debugger IDE. It would be cool to make a fully featured free DWARF capable, interactive multi processor debugger, however, the need hasn't really yet turned up here.

And since gdb 7. For now it's just ARM, but I have spoken with the developer about adding Blackfin capability to it and he's excited about the prospect.

Maybe your python scripts will shed some light on how Ryan could add BF support to Cuttlebug. Log in. Site Search Log in. Processors and DSP More.

Blackfin Processors. Blackfin Processors requires membership for participation - click to join. Replies 7 replies Subscribers 52 subscribers Views views Users 0 members are here. Share More Cancel. Hi there, It's been around inofficially for quite some time, now I thought it might be helpful to know for those who build their own hardware: We found that boundary scan tests are kind of ineffective when it comes to complete system testing of Blackfin hardware that interoperates with non JTAG-capable chips, thus we tried to find a way doing this the automated way via scripting without flashing the hardware or needing more interfaces to verify the target.

If you have more inspiring thoughts or questions, feel free to bug me. Greetings, - Martin. Reply Cancel Cancel.

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Up 0 Down Reply Cancel. Hi, I've included a few snippets in the attached. That looks really good. Does that work with the ADI tool? EngineerZone Uses cookies to ensure you get the best experience in our community.


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