Part and Variable Information

For those who would like to get detailed information about their model, including part composition, elemental makeup, variable information, there is a little python tool to obtain that. Courtesy of Mr. Bill Dunn, this routine sniffs through the model and returns dataset information such as datafiles used, part composition, element counts, variables, total node and element counts.

Download recipe part_var_core_details here

Command File translator to EnSight 10

Hi folks,

as the grouping syntax has changed in EnSight 10 I’m sure many users will be faced with the problem that their old command files might fail if they do an upgrade to the latest EnSight version. We have some users with large scripts that include grouping operations so I started to think about a solution for this issue. Attached is the latest version which is still not completely finished but it seems to work fine on most command files I have used for testing. Please feel free to run the routine on your own command files and let me know if it crashes or if EnSight 10 fails on playing the translated files.

The only way I saw to get all necessary part and group info was to replay the original command files. So the original data files must be located at the directory which is included in the command file. The script will create a temporary .enc file and a .py file so the user must have writing permissions to his working directory. To start the script, please navigate to the saving path of your command files and run it with EnSight 9. The script will automatically search all .enc and .cmd files in that directory. If the routine failes on any of the found files for a reason it will create a short output message instead of translating the original command file. The translated files will be written to a new directory in the working directory witch will be named as currentyear_currentmonth_currentday_ensight10_command_files.

David

 

Download the latest update (June 2012) here.

2012_06_01_translate_9x_grouping_command_files