April Workshops. Lauren leads the archiving of UNT websites and works with federal agencies to harvest and store web content. He works in the area of digital libraries with an interest in digital preservation, Web archiving, and management of metadata.
On top of daily use of the tools being taught in the workshop, he also has tutoring experience from his work at NCTC. Kristy Phillips is a Ph. She is interested in using machine learning to study and preserve low-resource languages. YSC session This cookies is set by Youtube and is used to track the views of embedded videos.
Analytics analytics. Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc. It contains the domain, utk, initial timestamp first visit , last timestamp last visit , current timestamp this visit , and session number increments for each subsequent session. The cookie is used to calculate visitor, session, campaign data and keep track of site usage for the site's analytics report.
The cookies store information anonymously and assign a randomly generated number to identify unique visitors. The cookie is used to store information of how visitors use a website and helps in creating an analytics report of how the website is doing. The data collected including the number visitors, the source where they have come from, and the pages visted in an anonymous form.
It is used by Recording filters to identify new user sessions. This cookie is passed to Hubspot on form submission and used when deduplicating contacts. This cookie is used by vimeo to collect tracking information. It sets a unique ID to embed videos to the website. Advertisement advertisement. Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.
The cookie also tracks the behavior of the user across the web on sites that have Facebook pixel or Facebook social plugin. IDE 1 year 24 days Used by Google DoubleClick and stores information about how the user uses the website and any other advertisement before visiting the website. This is used to present users with ads that are relevant to them according to the user profile. NID 6 months This cookie is used to a profile based on user's interest and display personalized ads to the users.
The purpose of the cookie is to determine if the user's browser supports cookies. Used to track the information of the embedded YouTube videos on a website. Others others. Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet. This cookie is set when the customer first lands on a page with the Hotjar script. It is used to persist the random user ID, unique to that site on the browser.
This ensures that behavior in subsequent visits to the same site will be attributed to the same user ID. This cookie is used for Typeform usage statistics. It is used in context with the website's pop-up questionnaires and messengering. This cookie is set by the provider Cloudflare.
This cookie is set by Hubspot. This cookie is set by the provider Cloudflare content delivery network. The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Advertisement". This cookie is set by the provider Media. Used by sites written in JSP. The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies.
The cookie is set by Wix website building platform on Wix website. This cookie is set by CloudFlare. This cookie is set by HubSpot. This cookie is set by linkedIn. This cookie is used to store the language preferences of a user to serve up content in that stored language the next time user visit the website. This cookie is set by Polylang plugin for WordPress powered websites. This cookie is provided by Google Tag Manager. This cookies is installed by Google Universal Analytics to throttle the request rate to limit the colllection of data on high traffic sites.
This is a pattern type cookie set by Google Analytics, where the pattern element on the name contains the unique identity number of the account or website it relates to.
This cookies is set by Youtube and is used to track the views of embedded videos. This cookie is set by Hubspot and is used for tracking visitors. This cookie is installed by Google Analytics. As Steve McConnell said, trying to improve the quality of software by doing more testing is like trying to lose weight by weighing yourself more often. But a good set of tests will help you track down bugs more quickly, which in turn speeds up development.
It's also important to understand that testing can only do so much. For example, suppose you're testing a function that compares two 7-digit phone numbers. And that's only one simple function: exhaustively testing a real program with hundreds or thousands of functions, each taking half a dozen arguments, would take many times longer than the expected lifetime of the universe.
And how would you actually write 10 14 tests? More importantly, how would you check that the tests themselves were all correct?
In reality, "all" that testing can do is show that there might be a problem in a piece of code. If testing doesn't find a failure, there could still be bugs lurking there that we just didn't find. And if testing says there is a problem, it could well be a problem with the test rather than the program.
So why test? Because it's one of those cases where something that shouldn't work in theory is surprisingly effective in practice. It's just like mathematics: any theorem proof might contain a flaw that just hasn't been noticed yet, but somehow we manage to make progress. The obstacle to testing isn't actually whether or not it's useful, but whether or not it's easy to do. If it isn't, people will always find excuses to do something else.
It's therefore important to make things as painless as possible. In particular, it has to be easy for people to:. If a testing tool says that code is working when it's not, or reports problems when there actually aren't any, people will lose faith in it and stop using it.
Let's start with the simplest kind of testing. A unit test is a test that exercises one component, or unit, in a program. Ideally, this just involves calling a function, but some tests may involve more. If we don't know the expected result, we can't tell whether the test passed or failed. As we'll see in a couple of episodes, defining fixtures and expected results can be a good way to design software.
The first three parts of the unit test are used over and over again. The fourth part is the actual result …. As with the actual result, this could be different each time we run the test. So much for terminology: what does this all look like in practice?
It returns True if its second argument is a prefix of the first, i. We'll build a simple set of tests for this function from scratch to introduce some key ideas. Then later introduce a Python library that can handle the things that are done the same way each time. Let's start by testing our code directly using assert. Here, we call the function four times with different arguments, checking that the right value is returned each time.
0コメント