Support binops between float scalar to decimal column

[mroeschke]

Description

To remove a workaround in PDSH Q1 for cudf.pandas

~/cudf$ python $PDSH_FILE $queries --scale=0.1 --iterations 1 --path "$dataset_path"
Empty DataFrame
Columns: []
Index: []
Query 0 - Iteration 0 finished in 0.0007s
  l_returnflag l_linestatus     sum_qty  sum_base_price  sum_disc_price    sum_charge  count_order
0            A            F  3774200.00   5320753880.69   -5.054096e+09 -5.256751e+09       147790
1            N            F    95257.00    133737795.84   -1.271324e+08 -1.322863e+08         3765
2            N            O  7459297.00  10512270008.90   -9.986238e+09 -1.038558e+10       292000
3            R            F  3785523.00   5337950526.47   -5.071819e+09 -5.274406e+09       148301
Query 1 - Iteration 0 finished in 0.2097s
Iteration Summary
=======================================
query: 0
path: /home/nfs/mroeschke/cudf/sf0.1
scale_factor: 0.1
executor: in-memory
iterations: 1
---------------------------------------
min time : 0.0007
max time : 0.0007
mean time: 0.0007
=======================================
query: 1
path: /home/nfs/mroeschke/cudf/sf0.1
scale_factor: 0.1
executor: in-memory
iterations: 1
---------------------------------------
min time : 0.2097
max time : 0.2097
mean time: 0.2097
=======================================
Total mean time across all queries: 0.2103 seconds

Checklist

• I am familiar with the Contributing Guidelines.
• New or existing tests cover these changes.
• The documentation is up to date with these changes.

[mroeschke]

/merge