in python Create a corporate B.S. Generator similar to the following Link: http://www.atrixnet.com/bs-generator.html (Links to an external site.) (Links to an external site.) You must create a loop the runs until the user decides to exit. You will need to import this list aAdverbs = ['appropriately','assertively','authoritatively','collaboratively','compellingly','competently','completely','continually','conveniently','credibly','distinctively','dramatically','dynamically','efficiently','energistically','enthusiastically','uniquely'] aAdjectives = ['accurate','adaptive','alternative','backend','user-centric','user friendly','value-added','vertical','viral','virtual','visionary','web-enabled','wireless','world-class','worldwide'] aVerbs = ['actualize','administrate','aggregate','architect','benchmark','brand','build','cloudify','communicate','conceptualize','coordinate','create','cultivate','unleash','utilize','visualize','whiteboard'] aNouns = ['action items','alignments','applications','architectures','bandwidth','benefits','best practices','catalysts for change','channels','clouds','web-readiness','web services','virtualization'] Import these list into your code. Create a two dimensional array and populate it with the 4 lists you have imported. Each part of speech will occupy one of 4 columns in the table. Non populated columns will have an asterisk in them. Use this table to get your values. Noun Verb Adjective Adverb "Noun" "Verb" "Adjective" "Adver "Noun" "Verb" "Adjective" "Adverb" "Noun" "Verb" "Adjective" "Adverb" "Noun" "Verb" "Adjective" "Adverb" "Noun" "Verb" "*" "Adverb" "Noun" "Verb" "*" "Adverb" "*" "Verb" "*" "*" "*" "Verb" "*" "*"
in python
Create a corporate B.S. Generator similar to the following Link:
http://www.atrixnet.com/bs-generator.html (Links to an external site.) (Links to an external site.)
You must create a loop the runs until the user decides to exit.
You will need to import this list
aAdverbs = ['appropriately','assertively','authoritatively','collaboratively','compellingly','competently','completely','continually','conveniently','credibly','distinctively','dramatically','dynamically','efficiently','energistically','enthusiastically','uniquely']
aAdjectives = ['accurate','adaptive','alternative','backend','user-centric','user friendly','value-added','vertical','viral','virtual','visionary','web-enabled','wireless','world-class','worldwide']
aVerbs = ['actualize','administrate','aggregate','architect','benchmark','brand','build','cloudify','communicate','conceptualize','coordinate','create','cultivate','unleash','utilize','visualize','whiteboard']
aNouns = ['action items','alignments','applications','architectures','bandwidth','benefits','best practices','catalysts for change','channels','clouds','web-readiness','web services','virtualization']
Import these list into your code.
Create a two dimensional array and populate it with the 4 lists you have imported.
Each part of speech will occupy one of 4 columns in the table.
Non populated columns will have an asterisk in them.
Use this table to get your values.
| Noun | Verb | Adjective | Adverb |
| "Noun" | "Verb" | "Adjective" | "Adver |
| "Noun" | "Verb" | "Adjective" | "Adverb" |
| "Noun" | "Verb" | "Adjective" | "Adverb" |
| "Noun" | "Verb" | "Adjective" | "Adverb" |
| "Noun" | "Verb" | "*" | "Adverb" |
| "Noun" | "Verb" | "*" | "Adverb" |
| "*" | "Verb" | "*" | "*" |
| "*" | "Verb" | "*" | "*" |
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