In the current (1.0.3)[0] TEA language implementation [1] and design [2], interactivity wasn't yet properly implemented. In particular, only two methods of passing input into a TEA program were possible;
1. For the TTTT TEA interpreter environment [1], the user gets to specify initial input to the target TEA Program using the "-i" command line parameter at invocation time.
2. Or, within the source code of the TEA program itself, input is set (writing the AI) via the i: command for example, but never to allow such setting of the input, directly from whatever the user of the running program wants to specify or enter while the program is actively running.

This last point in the list above, is solvable readily, if we allow to alter or rather revise the TEA standard [2], by adjusting the command "i:" from being inert when invoked without parameters, to being the standard way to prompt for user input at runtime. Essentially, in the following example TEA program:

i!:B
x:
v:vD
i:
v:vN
G*:--:vD:vN

would return "BB--Velma", if the 4th instruction in that program, "i:" --- which would block processing until the user provides some input at runtime, has the value "Velma" specified by the user. Otherwise would return whatever the user provides at runtime, prefixed by the string "BB--".

## Introducing Interactivity into TEA
REFS:

0. https://github.com/mcnemesis/cli_tttt/releases/tag/tttt-1.0.3

1. https://github.com/mcnemesis/cli_tttt

2. https://www.academia.edu/122871672/TEA_TAZ_Transforming_Executable_Alphabet_A_to_Z_COMMAND_SPACE_SPECIFICATION

#tea #language #research #design #tea-applications #philosophy #plan #postdoc #bookplan #jwl #nuchwezi
#CREATED:Sept 06, 2024 09:21:25

🌿🍃☕
*TEA version v1.0.4*
is ready to install. Instructions at the RI

bit.ly/projtea

Ideas suggested have been incorporated into this latest release. Thanks Active TEAists!

However, these suggestions for modifying or rather redesigning the X-command space though interesting and surely plausible, might need some further study and research, or perhaps justification, before being included into the main TEA standard. Fingers crossed.. it is a formidable idea still.

https://www.academia.edu/resource/work/123296302

☝️😌 Building upon my work on the General Theory of Number Cardinality and Text Processing with the new TEA programming language. This paper introduces a method for mining numbers from ordinary text or words such as English or any language. Also contains some interesting problems for interested students/readers.

Inviting readers, collaboration, and your support.

--- Joseph @ Nuchwezi.

https://t.me/wwwrite/145

👆🏻🤠 Those who've read my paper treating of Base-36 [1] and the GTNC [3], shall also want to familiarise themselves with these interesting, related ideas put forward by a formidable author from the psychology research community, Raymond S. in his paper on the evolution of counting and number systems since ancient days[2].

REFS:

[1] Lutalo, J. W. (2024c). Numbers from Arbitrary Text: Mapping Human Readable Text to Numbers in Base-36. Mak. Retrieved from https://www.academia.edu/resource/work/123296302

[2] Nickerson, R.S., 1988. Counting, computing, and the representation of numbers. Human factors, 30(2), pp.181-199.

[3] Lutalo, J. W. (2024b). (GTNC) A general theory of number cardinality. Mak. Retrieved from https://www.academia.edu/resource/work/43197243

Visit https://bit.ly/profjwl show your support

Important Updates were made to the TEA standard. More references added too, and the TEA implementation has been updated to v1.0.5: https://bit.ly/projtea

Those following the TEA project... Go checkout the latest RI:

✓ TEA Intro
✓ Example Code
✓ Hello World
✓ More Tests
✓ Winning ☕🤞😊

Visit: https://bit.ly/projtea