Today, my potent Gentoo system automagically downloaded, configured,
compiled, and installed, according to my exact specifications, the
following GNU/Linux packages:

c-ares
llvm-common
exfatprogs
perl
sqlite
libuv
app-crypt/gpgme
stringio
liblangtag
cmake
dev-python/idna
libaom
dev-cpp/highway
dev-python/wheel
dev-python/jaraco-text
libdrm
cython
trove-classifiers
dev-python/cryptography
llvm
mesa
dev-libs/appstream
qtbase
qtshadertools
qtsvg
qtdeclarative
qtquicktimeline

How much time was required for this magnificent act of
GNU/Linux maintenance?

I cannot definitely ascertain.

I went to have a shit, shower, and shave and when I
returned the process was long since complete.

Ahahahahahahahahahahahahaha!

Now don't you wish that you also could utilize Gentoo?

Well, maybe someday. Maybe someday.

AAAASSSSSSSHOLE!

Ahahahahahahahahahahahahaha!

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On 12/1/2023 11:57 AM, Larry "Nux Vomica" Piet wrote:

Today, my potent Gentoo system automagically downloaded, configured, compiled, and installed,

You sound like a "lazy dumb-fuck".

And it's not automagic; it's Python.

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On Dec 1, 2023 at 9:52:20 PM EST, "DFS" <nospam@dfs.com> wrote:

On 12/1/2023 11:57 AM, Larry "Nux Vomica" Piet wrote:

Today, my potent Gentoo system automagically downloaded, configured,
compiled, and installed,

You sound like a "lazy dumb-fuck".

And it's not automagic; it's Python.

Yes but, to his very simple brain, it IS "magic".

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On Dec 1, 2023 at 11:57:37 AM EST, "Nux Vomica" <nv@linux.rocks> wrote:

Today, my potent Gentoo system automagically downloaded, configured, compiled, and installed, according to my exact specifications, the
following GNU/Linux packages:

c-ares
llvm-common
exfatprogs
perl
sqlite

Whoopdedoo.

Meanwhile, have you managed to get your allegedly "potent Gentoo system" to import a very simple .csv file into a database yet? ANY database? Or is that still beyond your extremely limited skill set?

I see you claim to have built SQLite. Do you also have the DB Browser? Do you even know what that is? Maybe you should try to import food.csv into that. It is WAY easier than MariaDB. Because in MariaDB you have to do a manual CREATE TABLE first AND modify the default settings for the .csv file. Which requires actual knowledge of SQL syntax and .csv file specs, respectively.

OTOH, SQLite/DB Browser reads the .csv file and figures out that it is a comma separated values (.csv) file AND gets the table structure from the header record in the file. MS Access does the same thing, BTW.

Come on, show us that you do something besides execute canned scripts to run a C compiler.

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On 12/1/2023 11:25 PM, Tyrone wrote:

OTOH, SQLite/DB Browser reads the .csv file and figures out that it is a comma
separated values (.csv) file AND gets the table structure from the header record in the file. MS Access does the same thing, BTW.

You don't need a GUI for .csv import into SQLite. The .import command
creates a table with column names from the header line of the .csv file,
and imports the data:

syntax
$ sqlite3 dbname (will be created if it doesn't exist)
$ .import csv_file tblname --csv

working
$ sqlite3 AllFood2023.sqlite
$ .import food.csv food --csv
$ .import food_nutrient.csv food_nutrient --csv


food.csv imported in about 5 seconds on my system.
2021090 rows

The much bigger food_nutrient.csv imported in about 30 seconds.
26235967 rows

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