feat(python/sedonadb): Handle crs-like objects in parameterized queries

[paleolimbot]

This PR adds support for literal conversion for the three CRS-like objects I know about, the main one being pyproj.CRS(). This is a nice quality of life improvement for writing SQL against GeoPandas data frames. For example, this is finding all the points within 10 km of some lon/lat:

import geopandas
import sedona.db

url = "https://github.com/geoarrow/geoarrow-data/releases/download/v0.2.0/ns-water_water-point.fgb"
gdf = geopandas.read_file(url)

sd = sedona.db.connect()
sd.create_data_frame(gdf).to_view("gdf", overwrite=True)

sd.sql("""
    SELECT "OBJECTID", "FEAT_CODE", geometry FROM gdf
    WHERE ST_DWithin(ST_Transform(ST_Point(-64, 45, 4326), $1), geometry, 10000)
""", params=(gdf.crs,)).show()
#> ┌──────────┬───────────┬─────────────────────────────────────────────────────────────────┐
#> │ OBJECTID ┆ FEAT_CODE ┆                             geometry                            │
#> │   int64  ┆    utf8   ┆                             geometry                            │
#> ╞══════════╪═══════════╪═════════════════════════════════════════════════════════════════╡
#> │    18927 ┆ WAFA60    ┆ POINT Z(428474.02329999954 4984050.078299999 77.89999999999418) │
#> ├╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
#> │    18915 ┆ WADM60    ┆ POINT Z(421205.36319999956 4983412.968 22.89999999999418)       │
#> ├╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
#> │    17112 ┆ WAFA60    ┆ POINT Z(418256.42310000025 4975386.877800001 71.80000000000291) │
#> └──────────┴───────────┴─────────────────────────────────────────────────────────────────┘

[zhangfengcdt]

Do we want to add CRS support information here since it is supported literal now?