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!