Correct input format semantics

[koxudaxi]

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[codspeed-hq]

Merging this PR will degrade performance by 47.31%

⚠️ 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.

⚠️ Different runtime environments detected

Some benchmarks with significant performance changes were compared across different runtime environments,
which may affect the accuracy of the results.

Open the report in CodSpeed to investigate

❌ 38 regressed benchmarks
⏩ 98 skipped benchmarks¹

Warning

Please fix the performance issues or acknowledge them on CodSpeed.

Performance Changes

	Benchmark	BASE	HEAD	Efficiency
❌	test_perf_empty_pydantic_v2_field_render_plans	6.9 ms	14.6 ms	-52.54%
❌	test_perf_simple_msgspec_unset_field_rendering	46.4 ms	97.1 ms	-52.17%
❌	test_perf_ordinary_array_constraint_generation	517.2 ms	1,054 ms	-50.93%
❌	test_perf_pattern_properties_adapter_reuse	2.1 ms	4.1 ms	-50.18%
❌	test_perf_large_models_single_module_stdout	382.5 ms	754 ms	-49.27%
❌	test_perf_deep_nested	2.4 s	4.7 s	-49.08%
❌	test_perf_extreme_large_schema	7.1 s	14 s	-48.89%
❌	test_perf_multiple_files_input	1.6 s	3.1 s	-48.85%
❌	test_perf_complex_refs	918.6 ms	1,792.1 ms	-48.74%
❌	test_perf_openapi_large	1.4 s	2.8 s	-48.71%
❌	test_perf_pydantic_field_name_resolution	5 ms	9.7 ms	-48.7%
❌	test_perf_large_models_pydantic_v2	1.7 s	3.2 s	-48.49%
❌	test_perf_all_options_enabled	2.6 s	5 s	-48.49%
❌	test_perf_inherited_required_fields[required-derived-first]	241.9 ms	469.1 ms	-48.42%
❌	test_perf_local_reference_file_resolution	33 ms	63.7 ms	-48.23%
❌	test_perf_large_models_typed_dict[total-false-requiredness]	274.9 ms	529.5 ms	-48.09%
❌	test_perf_duplicate_names	482.7 ms	929.1 ms	-48.05%
❌	test_perf_kubernetes_style_pydantic_v2	1.2 s	2.3 s	-48.01%
❌	test_perf_large_models_pydantic_v2_builtin_double_quotes	355.6 ms	682.2 ms	-47.88%
❌	test_perf_stripe_style_pydantic_v2	900.9 ms	1,726 ms	-47.8%
...	...	...	...	...

ℹ️ Only the first 20 benchmarks are displayed. Go to the app to view all benchmarks.

Tip

Investigate this regression by commenting @codspeedbot fix this regression on this PR, or directly use the CodSpeed MCP with your agent.

---

_{Comparing fix/input-format-semantics (f31e554) with fix/parser-model-reuse (2f62434)}

Footnotes

1. 98 benchmarks were skipped, so the baseline results were used instead. If they were deleted from the codebase, click here and archive them to remove them from the performance reports. ↩

[github-actions]

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[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 100.00%. Comparing base (2f62434) to head (f31e554).

Additional details and impacted files

@@                   Coverage Diff                    @@
##           fix/parser-model-reuse     #3842   +/-   ##
========================================================
  Coverage                  100.00%   100.00%           
========================================================
  Files                         257       257           
  Lines                       59286     59321   +35     
  Branches                     6550      6555    +5     
========================================================
+ Hits                        59286     59321   +35     

Flag	Coverage Δ
unittests	100.00% <100.00%> (ø)

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