Generative AI for CAD Software Development. GreciaGPT INPUT: WRT the ACS-Web-X 15 DataTypes, Develop an Automated Computer Aided Design (CAD) Algorithm for Engineering Design & Graphic Design? OUTPUT: Transformation of Numeric Data to Shape Data; #DataType2 ~ #DataType12.

Here's our latest #AiResearch breakthrough at Jawotech: The ACSGPT Neural Language Model can now simultaneously Transform Numeric Data to Geo-Data and Pictorial Data (Vice Versa). This #Pubgorithm is technically interpreted as; ACS-Web-X[#DataType2 ~ (#DataType8 #DataType6)]

Note: The #WebN Robot can now Learn from different National Flags. #FlagLearning: AiEngine Reverse Transforms. Hi #ACSGPT, Transform this #DataType2: 543 286 191 455 289 to its respective #NationalFlags and to its corresponding #xInternetProtocol via #FlagLearning?

Years back, I sold hundreds of printed copies of #LearnChessinOneHour in Computer Village, Ikeja, Lagos. Later, its ACS-Web-X #DataType1 & #DataType2 were CONVERTED to #DataType3, & the animated #DataType4 as #YouTube Chess Tutorial Videos. Maximizing #DataScience for #ACSGPT

2. Add MULTIPLE columns at once:- ALTER table table_name ADD (colname1 datatype1, colname2 datatype2); 👉 E.g., Adding Email_id and ContactNo columns to the student table

東京都新宿駅周辺だけしか見てないけど、2020/05/20-2020/07/30までdataType2と12が両方あるが7/27に2が無い以外はデータは同じ。dataTypeってなんだろう。後、前日比じゃなくて、単純に人数があると嬉しい(2020/07,08,09は日付が抜けているし)。 opendata.corona.go.jp/api/Re… #オープンデータ

2. Add MULTIPLE columns at once:- ALTER table table_name ADD (colname1 datatype1, colname2 datatype2); 👉 E.g., Adding Email_id and ContactNo columns to the classroom1 table

Further explanation of query: show tables; The database, university, currently has two tables, namely faculties and student. 4) To create a new table in the database currently in use create table tablename(columnname1 datatype1 constraint1, columnname2 datatype2 constraint2);

im fucking up by doing ass.data = &dt2 // where dt2 is a struct datatype2 ((struct datatype1*)ass.data)->member in the same way im fucking up by doing ass.union.dt2.blah = blah ass.union.dt1.member but its less obvious that im doing something bad

the first solution to this is enum types struct ass { void *data enum {datatype1, datatype2} type } this is bad because "type" and "data" are still disjointed, it trusts that each usage of data also checks type. void* is still at the mercy of individual contexts.

2. "cast" has no purpose whatsoever. Everything you do with "cast" can be done with "convert", but not the other way around! Have you ever seen "cast (expression1, convert (datatype2, expression2), datatype1). It really irritates me.

code-adviserからおすすめの記事を紹介します。 翻訳： <Da​​tatype1> []から<Datatype2> []への変換 原文：Converting from <Datatype1>[] to <Datatype2>[] code-adviser.com/detail_3131…

for complex situations with many types of data, my directory might have R scripts and then a subdirectory for each type of data, accessed in code with "datatype1//data.csv", "datatype2//data.csv" etc. Still don't need full directory, and can be easily sent to someone else.