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Forgot spss code install#
Forgot spss code code#

This is also a good time to pin the client to your taskbar or dock to make it easier to find in the future.

The program is in Finder > Applications > Cisco on the Mac.

Once installed, you will have to start the VPN client by searching "Cisco" on your machine and running the "Cisco An圜onnect Secure Mobility Client" program.

Forgot spss code install#

Once it is fully downloaded, double-click it to install the client on your computer. Once you get in, click the blue "Download" button.

Forgot spss code code#

Enter your WatIAM userid and your WatIAM password as above, but this time enter your new code received from authentication in the “Second Password” field.Type: the passcode in second password field (non-IST-provided hardware auth devices must be programmed for OTP and registered with IST) Place cursor in second password field and touch token Type: phone (for multiples phone1 or phone2. Type: push (for multiples, push1 or push2. In the "Second password" field, choose your second factor from this list:.Enter your WatIAM userid and your WatIAM password.The campus VPN can be accessed by installing the Cisco VPN client. In order to provide secure access to some on-campus resources, IST has implemented a virtual private network (VPN). If "brandSwitcher" in player: ds.How to access on-campus resources from off-campus If "wearingOldBoot" in player: ds.cases = str(player) If "brandSwitchingCategory" in player: ds.cases = str(player) If "oldBootsCategory" in player: ds.cases = str(player) If "playerCardWatched" in player: ds.cases = int(player) If "playerCardVisible" in player: ds.cases = int(player) If "selectedBootModel" in player: ds.cases = str(player) If "selectedBrand" in player: ds.cases = str(player) If "ID" in player: ds.cases = str(player) If "position" in historyStep: ds.cases = str(historyStep)įor player in get_efs_json(ds.cases.strip()): If "id" in historyStep: ds.cases = str(historyStep)

If not spss_var_exists("selection_history_" + str(selectionIndex) + "_position"): ds.varlist.append("selection_history_" + str(selectionIndex) + "_position",50) If not spss_var_exists("selection_history_" + str(selectionIndex) + "_id"): ds.varlist.append("selection_history_" + str(selectionIndex) + "_id",50) If not (ds.cases.strip() = '-66') and not (ds.cases.strip() = '-99'):įor historyStep in get_efs_json(ds.cases.strip()): If not spss_var_exists("s" + str(x) + "_brand_switch_category"): ("s" + str(x) + "_brand_switch_category",50) If not spss_var_exists("s" + str(x) + "_player_card_visible"): ("s" + str(x) + "_player_card_visible",0) If not spss_var_exists("s" + str(x) + "_player_card_watched"): ("s" + str(x) + "_player_card_watched",0)

If not spss_var_exists("s" + str(x) + "_selected_bootmodel"): ("s" + str(x) + "_selected_bootmodel",50) Raw_efs_json = raw_efs_json.replace('\r','') Raw_efs_json = raw_efs_json.replace('\n','') Is there any possibility to speed things up a little? * Encoding: UTF-8. To split the values into SPSS-variables i wrote a simple python script.Įverything works as expected, but it takes a long time. I stored several values two variables, that contain raw JSON strings.