feat(python): Identify inefficient use of Python string replace in map_elements

[alexander-beedie]

Ref: #9968

Can now identify (and warn against) Python-side string replace in UDFs:

Example

import polars as pl

df = pl.DataFrame({"s1": ["x::y::z"]})

df.with_columns(
    s2 = pl.col("s1").map_elements(lambda s: s.replace(":", ""))
)
# PolarsInefficientMapWarning:
#   Replace this expression...
#     - pl.col("s1").map_elements(lambda s: ...)
#   with this one instead:
#     + pl.col("s1").str.replace_all(':','',literal=True)

df.with_columns(
    s2 = pl.col("s1").map_elements(lambda s: s.replace(":", "", 2))
)
# PolarsInefficientMapWarning:
#   Replace this expression...
#     - pl.col("s1").map_elements(lambda s: ...)
#   with this one instead:
#     + pl.col("s1").str.replace(':','',n=2,literal=True)

[codecov]

Codecov Report

Attention: Patch coverage is 84.61538% with 2 lines in your changes missing coverage. Please review.

Project coverage is 79.74%. Comparing base (04c4acb) to head (96ed7ec).
Report is 5 commits behind head on main.

Files with missing lines	Patch %	Lines
py-polars/polars/_utils/udfs.py	84.61%	1 Missing and 1 partial ⚠️

Additional details and impacted files

@@           Coverage Diff           @@
##             main   #19668   +/-   ##
=======================================
  Coverage   79.74%   79.74%           
=======================================
  Files        1541     1541           
  Lines      212010   212023   +13     
  Branches     2446     2449    +3     
=======================================
+ Hits       169059   169073   +14     
+ Misses      42397    42395    -2     
- Partials      554      555    +1     

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