CLN: ASV eval benchmark
- Added `np.random.seed(1234)` in setup classes where random data is created xref #8144

- Ran flake8 and replaced star imports

- Removed some initialization of variables within the `time_*` methods

```
asv run -b ^eval
[  0.00%] ·· Benchmarking conda-py3.6-Cython-matplotlib-numexpr-numpy-openpyxl-pytables-pytest-scipy-sqlalchemy-xlrd-xlsxwriter-xlwt
[ 14.29%] ··· Running eval.Eval.time_add                                                                                  41.8±0.7ms;...
[ 28.57%] ··· Running eval.Eval.time_and                                                                                  55.5±0.4ms;...
[ 42.86%] ··· Running eval.Eval.time_chained_cmp                                                                            48.7±1ms;...
[ 57.14%] ··· Running eval.Eval.time_mult                                                                                   38.5±1ms;...
[ 71.43%] ··· Running eval.Query.time_query_datetime_column                                                                       19.1ms
[ 85.71%] ··· Running eval.Query.time_query_datetime_index                                                                        51.9ms
[100.00%] ··· Running eval.Query.time_query_with_boolean_selection                                                                66.9ms
```