Search Results for "result"

...Go beyond application code and protect the entire stack with a breadth of scanning capabilities. Don't leak secrets, scan every commit and ensure secrets don't make it to production. Protect the privileged CI/CD environment from malicious activity that could result in access to source code, secrets, and more. Run with registry rules or your own. Code is analyzed locally (not uploaded). Get results at ludicrous speed with diff-aware scans, review findings in MR and PR comments, and deploy Semgrep across your organization’s projects. Go beyond the registry with rules specific to your organization. ...

LaraDumps is a friendly app that boosts your Laravel PHP coding and debugging experience. When using LaraDumps, you can see the result of your debug displayed in a standalone Desktop application.

For C (and CPP obviously): Include a fast and tiny RAM-tracing feature for Real-Time (RT) debugging purposes. >> ONLY FOR DEBUGGING << Very much faster than printf-debugging, which may result in unforseen results in an RT environement.

...Tired of opening an editor to test short code snippets for functionality, saving the file and then running it in a browser? PH_Playground provides a simple solution on a single browser page. Enter the code to be tested into the "PHP" or "JS" window and press "Run". The result will appear as Rendered or Raw HTML as you choose. In the background the code has been saved to a log file. Works on any machine running PHP. Log files are found in the Playground.log directory, sorted by year and month. A new log file is started every day and numbered accordingly. Warning! Do not use this program on a production site!

...In contrast, Tangent performs ahead-of-time autodiff on the Python source code itself, and produces Python source code as its output. Tangent fills a unique location in the space of machine learning tools. As a result, you can finally read your automatic derivative code just like the rest of your program. Tangent is useful to researchers and students who not only want to write their models in Python, but also read and debug automatically-generated derivative code without sacrificing speed and flexibility. Tangent works on a large and growing subset of Python, provides extra autodiff features other Python ML libraries don't have, has reasonable performance, and is compatible with TensorFlow and NumPy.

...Insert and Update query's are created during the run and can be saved for later execution. Joins can be added to the from query if only certain records should be compared, as long as the end result only have the current table fields visible.

JTestCase uses XML file to organize multi-testcase data and asserting conditions (action and expected result), and provides a set of easy-to-use methods to retrieve test cases out from XML, and asserts results against those expected ones in data file.

Small PHP library to view (1) all the executed MYSQL queries and their result (read data, affected rows, errors and their reason) and (2) all received GET and POST variables. This library makes it very fast to find why queries did not work as expected.