torarvid:support-use-annotated-with-non-positive - Branch - koxudaxi/datamodel-code-generator

Support `--use-annotated` and `--use-non-positive-negative-number-constrained-types`

#3015

Comparing

torarvid:support-use-annotated-with-non-positive

(

9148e4e

) with

main

(

9955314

)

-11%

Regression: 3

Untouched: 8

Skipped: 98

Unknown Walltime execution environment detected

Using the Walltime instrument on standard Hosted Runners will lead to inconsistent data. For the most accurate results, we recommend using CodSpeed Macro Runners: bare-metal machines fine-tuned for performance measurement consistency.

Benchmarks

109 total

test_perf_duplicate_names

tests/main/test_performance.py

-11%

905.3 ms1,021.3 ms

test_perf_large_models_pydantic_v2

tests/main/test_performance.py

-11%

3.3 s3.7 s

test_perf_deep_nested

tests/main/test_performance.py

-10%

5.4 s6 s

test_perf_stripe_style_pydantic_v2

tests/main/test_performance.py

-5%

1.9 s2 s

test_perf_graphql_style_pydantic_v2

tests/main/test_performance.py

-6%

768 ms820.5 ms

test_perf_all_options_enabled

tests/main/test_performance.py

-7%

6.4 s6.9 s

test_perf_aws_style_openapi_pydantic_v2

tests/main/test_performance.py

-7%

1.8 s1.9 s

test_perf_kubernetes_style_pydantic_v2

tests/main/test_performance.py

-8%

2.4 s2.6 s

test_perf_openapi_large

tests/main/test_performance.py

-8%

2.7 s2.9 s

test_perf_multiple_files_input

tests/main/test_performance.py

-9%

3.5 s3.8 s

test_perf_complex_refs

tests/main/test_performance.py

-10%

1.8 s2 s

The benchmarks below were skipped, so their baseline results are used instead. If they were deleted in your codebase, archive them to remove them from the performance reports.
Learn more about archiving benchmarks

test_main_nested_directory