Enhance PostgresType to support array types (serialization, not deserialization)

[ExtReMLapin]

Fixes an issue that leaded the array to be returned to the client as a string because it was not implemented in the postgres types

Serialization is implemented, deserialization is NOT implemented.
First code wrote in java so i'm all ears open to fix things in this PR.

Fixed my NPM install so precommit is fixed aswell

[ExtReMLapin]

Not going to lie, only tested it on a long 1024 array of floats, didn't have the data to test with ints, bools etc

[ExtReMLapin]

Maybe do something else, not sure

[robfrank]

Can you give me an example on the data to store in the db?
some SQL commands to create the data, so I can add some relevant tests

[ExtReMLapin]

It's from the data from this thread : #2005

https://limewire.com/d/10245dd2-fd50-4d33-865e-3a3969026047#_n2Dys-Z8KKH032BHBltTagwu_DpoRev8_PKBWQLKiA

Python code :

(Just install the package with pip install psycopg not the binary package)

import psycopg
import time

with psycopg.connect(user="root", password="rootroot",
                    host='localhost',
                    port='5432',
                    dbname='ORANO_DOC',
                    sslmode='disable'
                    ) as connection:
    connection.autocommit = True
    _time = time.time()
    with connection.cursor() as cursor:
        cursor.execute("""MATCH {type: EMBEDDING, as: embb}-->{ as: target}
RETURN embb.vector, target.asRID()""")
        results = cursor.fetchall()
        print(results[0])

        
    print('time', time.time()-_time)

[ExtReMLapin]

As for the data type I ran tests with ARRAY_OF_FLOATS

[ExtReMLapin]

Not going to lie, only tested it on a long 1024 array of floats, didn't have the data to test with ints, bools etc

As for the data type I ran tests with ARRAY_OF_FLOATS

Now covered by tests : #2039

[robfrank]

LGTM