![]() This is a maintenance release fixing a various issues and adds minor improvements. Sandboxie 1.11.4 Plus / Classic 5.66.4 changelog: The Classic build has the old no longer developed MFC based UI, hence it lacks support for modern features, these features can however still be used when manually configured in the Sandboxie.ini. What's different is the user interface the Plus build has a modern Qt based UI which supports all new features that have been added since the project went open source. Both have the same core components, this means they have the same level of security and compatibility. ![]() ![]() Sandboxie is available in two flavors Plus and Classic.
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![]() ![]() $ color() $ ctext() $ transTime() $ hackerMan() $ help()Ĭolor() color() is used to change the text color and background color of the whole python console. This version contains the following functions which we'll be discussing shortly. Importing Functions: from Color_Console import * statement is used to import all necessary functions from Color_Console module. => Automatic package installation for unavailable libraries. => Functions updated to work with Dictionaries. What's New ? => Easier importing of functions. Color_Console Max-Loaded This module is used to change the color of text and background of the python console designed for Windows Operating System. ![]() Tested with prerelease Safari 17.0 and Chrome v1.62. Tested on production 13-inch MacBook Air systems with Apple M2, 8GB of RAM, 256GB SSD, and prerelease macOS Sonoma.
![]() After that we get a Docker client handle which enables use to call the API against our local Docker environment. The following code section imports the needed modules to setup up our Docker container to create the Oracle Database. It uses a mix of calls to the Docker Python API and Calls direct to the databases via cx_Oracle. It aims to build an Active Data Guard model with maximum performance but can be trivially changed to support any of the required models. ![]() This current version is build on top of Oracle's Internal GiaaS docker image but will be extended to support the public dockers images as well. The approach documented below is very much for someone who is interested in a high level of control over the various steps in the installation and configuration of the Oracle Database. ![]() If you are just wanting to get the Oracle Database running inside of Docker I strongly suggest that you use the docker files and guides in the Oracle Github repository. 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