CLN: ASV binary ops benchmark
- Utilized `params` of timezones in the `Timeseries` class instead of creating a subclass of `TimeseriesTZ`

- Division was being tested instead of modulo in `time_frame_int_mod` and `time_frame_float_mod`

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

- Renamed `time_timestamp_ops_diff2` to `time_timestamp_ops_diff_with_shift`

- Replaced the depreciated `np.random.random_integers` with `np.random.randint`

- Ran flake8 and replaced star imports

```
asv run -q -b ^binary_ops
[  0.00%] ·· Benchmarking conda-py3.6-Cython-matplotlib-numexpr-numpy-openpyxl-pytables-pytest-scipy-sqlalchemy-xlrd-xlsxwriter-xlwt
[  7.14%] ··· Running binary_ops.Ops.time_frame_add                                                                                 46.1ms;...
[ 14.29%] ··· Running binary_ops.Ops.time_frame_comparison                                                                          16.5ms;...
[ 21.43%] ··· Running binary_ops.Ops.time_frame_mult                                                                                55.3ms;...
[ 28.57%] ··· Running binary_ops.Ops.time_frame_multi_and                                                                            126ms;...
[ 35.71%] ··· Running binary_ops.Ops2.time_frame_float_div                                                                              73.0ms
[ 42.86%] ··· Running binary_ops.Ops2.time_frame_float_div_by_zero                                                                      80.7ms
[ 50.00%] ··· Running binary_ops.Ops2.time_frame_float_floor_by_zero                                                                    83.9ms
[ 57.14%] ··· Running binary_ops.Ops2.time_frame_float_mod                                                                              25.3ms
[ 64.29%] ··· Running binary_ops.Ops2.time_frame_int_div_by_zero                                                                        97.2ms
[ 71.43%] ··· Running binary_ops.Ops2.time_frame_int_mod                                                                                46.1ms
[ 78.57%] ··· Running binary_ops.Timeseries.time_series_timestamp_compare                                                           5.40ms;...
[ 85.71%] ··· Running binary_ops.Timeseries.time_timestamp_ops_diff                                                                 42.8ms;...
[ 92.86%] ··· Running binary_ops.Timeseries.time_timestamp_ops_diff_with_shift                                                       157ms;...
[100.00%] ··· Running binary_ops.Timeseries.time_timestamp_series_compare                                                           5.55ms;...
```
