Bump pkginfo from 1.11.1 to 1.12.0 in /build/pip in the build-python group

[dependabot]

Bumps the build-python group in /build/pip with 1 update: pkginfo.

Updates pkginfo from 1.11.1 to 1.12.0

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[github-actions]

Benchmark Results

java_simple_parallel.csv

Commit	CPU	Memory	Time	ExitCode
afc97cb	23%	73892	0:24.89	0
aff43ef	21%	66656	0:24.91	0
5884aa1	24%	74792	0:24.36	0
df2a131	23%	74908	0:24.08	0

java_maven_serial.csv

Commit	CPU	Memory	Time	ExitCode
afc97cb	71%	189880	0:17.03	0
aff43ef	72%	186092	0:17.10	0
5884aa1	67%	190804	0:18.02	0
df2a131	65%	167056	0:18.35	0

java_maven_parallel.csv

Commit	CPU	Memory	Time	ExitCode
afc97cb	33%	172916	0:32.61	0
aff43ef	32%	175516	0:35.05	0
5884aa1	35%	170296	0:31.54	0
df2a131	32%	172376	0:34.65	0

java_simple_serial.csv

Commit	CPU	Memory	Time	ExitCode
afc97cb	40%	65936	0:15.87	0
aff43ef	45%	66284	0:14.56	0
5884aa1	53%	67836	0:12.38	0
df2a131	55%	66152	0:11.39	0

java_gradle_serial.csv

Commit	CPU	Memory	Time	ExitCode
afc97cb	9%	122360	0:25.03	0
aff43ef	10%	121088	0:25.37	0
5884aa1	10%	104040	0:24.67	0
df2a131	9%	123712	0:25.41	0

java_gradle_parallel.csv

Commit	CPU	Memory	Time	ExitCode
afc97cb	6%	126520	0:46.25	0
aff43ef	5%	118848	0:48.92	0
5884aa1	5%	107148	0:44.76	0
df2a131	5%	117528	0:43.16	0

java_simple_multithreaded.csv

Commit	CPU	Memory	Time	ExitCode
afc97cb	26%	69952	0:13.39	0
aff43ef	40%	64600	0:09.75	0
5884aa1	38%	70512	0:09.70	0
df2a131	38%	74784	0:09.72	0

java_maven_multithreaded.csv

Commit	CPU	Memory	Time	ExitCode
afc97cb	60%	173792	0:15.06	0
aff43ef	60%	170756	0:15.91	0
5884aa1	64%	174356	0:13.96	0
df2a131	61%	172360	0:14.93	0

java_gradle_multithreaded.csv

Commit	CPU	Memory	Time	ExitCode
afc97cb	10%	97660	0:22.99	0
aff43ef	9%	121700	0:24.43	0
5884aa1	10%	125920	0:22.82	0
df2a131	9%	122176	0:23.35	0

Notes

• The results above are generated by running against seed projects in https://github.com/getgauge/gauge-benchmark
• These results are not persisted, but on merging to master the benchmark will be rerun.
• These benchmark are run in Github Actions' agents, which are virtualized. Results are not to be taken as actual benchmarks.Rather, these are indicative numbers and make sense for comparison.

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