CLN: ASV attrs_caching benchmark

[mroeschke]

• Added np.random.seed(1234) in setup classes where random data is created xref BENCH: put in np.random.seed on vbenches #8144

• Ran flake 8 and replaced star imports (with pep8 in mind, I think we should avoid from .pandas_vb_common import *)

$asv run -q -b ^attrs_caching
[ 33.33%] ··· Running attrs_caching.CacheReadonly.time_cache_readonly                                                                   9.12μs
[ 66.67%] ··· Running attrs_caching.DataFrameAttributes.time_get_index                                                                  14.5μs
[100.00%] ··· Running attrs_caching.DataFrameAttributes.time_set_index                                                                  27.3μs

[codecov]

Codecov Report

Merging #18441 into master will decrease coverage by 0.01%.
The diff coverage is n/a.

@@            Coverage Diff             @@
##           master   #18441      +/-   ##
==========================================
- Coverage   91.35%   91.34%   -0.02%     
==========================================
  Files         163      163              
  Lines       49691    49691              
==========================================
- Hits        45397    45388       -9     
- Misses       4294     4303       +9

Flag	Coverage Δ
#multiple	89.14% <ø> (ø)	⬆️
#single	39.67% <ø> (-0.07%)	⬇️

Impacted Files	Coverage Δ
pandas/io/gbq.py	25% <0%> (-58.34%)	⬇️
pandas/core/frame.py	97.8% <0%> (-0.1%)	⬇️

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[jreback]

thanks!