feat: Implement merge_sorted for binary

[mcrumiller]

Quite trivial, closes #20988

import polars as pl

df1 = pl.DataFrame({
    "a": pl.Series("a", [b"1", b"3", b"5"], pl.Binary()),
    "b": [1, 3, 5],
})
df2 = pl.DataFrame({
    "a": pl.Series("a", [b"2", b"4", b"6"], pl.Binary()),
    "b": [2, 4, 6],
})

print(df1.merge_sorted(df2, "a"))
# shape: (6, 2)
# ┌────────┬─────┐
# │ a      ┆ b   │
# │ ---    ┆ --- │
# │ binary ┆ i64 │
# ╞════════╪═════╡
# │ b"1"   ┆ 1   │
# │ b"2"   ┆ 2   │
# │ b"3"   ┆ 3   │
# │ b"4"   ┆ 4   │
# │ b"5"   ┆ 5   │
# │ b"6"   ┆ 6   │
# └────────┴─────┘

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 79.27%. Comparing base (1678638) to head (9d33c26).
Report is 10 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main   #21045      +/-   ##
==========================================
- Coverage   79.27%   79.27%   -0.01%     
==========================================
  Files        1583     1585       +2     
  Lines      225549   225624      +75     
  Branches     2586     2588       +2     
==========================================
+ Hits       178810   178865      +55     
- Misses      46149    46169      +20     
  Partials      590      590              

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[ritchie46]

Can you dispatch String via binary as well? That saves an extra monomorphization.

[mcrumiller]

b8f5095 9d33c26

[ritchie46]

We don't need unsafe nor casts here:

            let lhs = lhs.str().unwrap().as_binary();

[mcrumiller]

Ahh ok. Fixed.