feat: accept Into<f64> at numeric API boundaries

[cdc-as81]

Summary

• Accept impl Into<f64> in public APIs for:
  • context scheduling and simulation start times
  • time and periodic trigger builders
  • random boolean probabilities
  • periodic entity value-change tracking
• Support wrapped numeric values in the related scheduling and tracking macros.
• Convert values exactly once at the public boundary while retaining internal
  f64 storage.
• Preserve existing validation and panic behavior.
• Add documentation and regression tests using typed numeric wrappers.

Motivation

Models commonly wrap numeric values in domain-specific types, such as validated
probabilities or sortable model times. These changes allow callers to pass such
types directly without manually converting them to f64.

Existing f64 call sites remain source-compatible.

[github-actions]

Benchmark Results

Hyperfine

Command	Mean [ms]	Min [ms]	Max [ms]	Relative
large_sir::baseline	3.5 ± 0.0	3.4	3.6	1.00 ± 0.02
large_sir::baseline_households	3.5 ± 0.0	3.4	3.5	1.00
large_sir::entities	7.7 ± 0.1	7.5	7.9	2.22 ± 0.03
large_sir::households	7.4 ± 0.1	7.3	7.8	2.15 ± 0.03

Criterion

Regressions (slower)

Group	Bench	Param	Change	CI Lower	CI Upper
sampling	sampling_single_known_length_entities		13.864%	11.853%	15.839%
sample_entity	sample_entity_single_property_unindexed	100000	9.876%	9.680%	10.046%
algorithm_benches	algorithm_sampling_single_known_length		8.541%	3.174%	14.304%
sampling	count_and_sampling_single_known_length_entities		8.010%	6.669%	9.408%
examples	example-births-deaths		6.235%	5.965%	6.484%
counts	single_property_indexed_entities		5.543%	2.232%	9.770%
counts	reindex_after_adding_more_entities		5.267%	4.807%	5.696%
sample_entity	sample_entity_single_property_unindexed	10000	4.178%	3.580%	4.771%
sampling	count_and_sampling_single_unindexed_concrete_plus_derived_entiti		3.836%	3.483%	4.262%
examples	example-basic-infection		2.681%	2.020%	3.360%
indexing	with_query_results_multiple_individually_indexed_properties_enti		2.194%	1.636%	2.565%
large_dataset	bench_query_population_derived_property_entities		1.724%	1.317%	2.132%

Improvements (faster)

Group	Bench	Param	Change	CI Lower	CI Upper
sampling	sampling_single_unindexed_concrete_plus_derived_entities		-32.976%	-33.158%	-32.793%
sample_entity	sample_entity_single_property_indexed	10000	-13.403%	-15.322%	-11.135%
large_dataset	bench_filter_unindexed_entity		-12.787%	-15.840%	-9.616%
sample_entity	sample_entity_whole_population	1000	-12.326%	-16.133%	-8.192%
sample_entity	sample_entity_whole_population	100000	-10.839%	-13.227%	-8.505%
sample_entity	sample_entity_single_property_indexed	100000	-9.121%	-10.332%	-7.859%
large_dataset	bench_query_population_indexed_property_entities		-9.074%	-9.738%	-8.368%
sample_entity	sample_entity_single_property_indexed	1000	-7.730%	-9.256%	-6.122%
sample_entity	sample_entity_whole_population	10000	-6.002%	-8.401%	-3.373%
large_dataset	bench_match_entity		-4.783%	-6.424%	-3.501%
large_dataset	bench_filter_indexed_entity		-4.468%	-6.015%	-2.719%
indexing	query_people_multiple_individually_indexed_properties_entities		-2.528%	-2.740%	-2.299%
sample_entity	sample_entity_multi_property_indexed	10000	-2.385%	-3.495%	-1.153%
algorithm_benches	algorithm_sampling_multiple_known_length		-1.989%	-2.804%	-1.163%
indexing	with_query_results_single_indexed_property_entities		-1.984%	-2.396%	-1.615%

Unchanged / inconclusive (CI crosses 0%)

Group	Bench	Param	Change	CI Lower	CI Upper
indexing	query_people_count_multiple_individually_indexed_properties_enti		-1.704%	-2.433%	-0.554%
sample_entity	sample_entity_multi_property_indexed	1000	-1.511%	-2.797%	-0.162%
sample_entity	sample_entity_multi_property_indexed	100000	-1.383%	-2.421%	-0.350%
indexing	query_people_count_single_indexed_property_entities		-1.287%	-1.609%	-0.802%
sampling	sampling_multiple_known_length_entities		0.968%	0.697%	1.247%
sample_entity	sample_entity_single_property_unindexed	1000	0.953%	0.622%	1.277%
sampling	sampling_multiple_l_reservoir_entities		0.929%	0.690%	1.179%
algorithm_benches	algorithm_sampling_single_rand_reservoir		-0.885%	-1.230%	-0.563%
indexing	query_people_indexed_multi-property_entities		0.825%	-0.507%	2.082%
counts	single_property_unindexed_entities		0.651%	-0.102%	1.374%
large_dataset	bench_query_population_multi_unindexed_entities		0.552%	0.115%	1.175%
counts	concrete_plus_derived_unindexed_entities		-0.460%	-1.334%	0.445%
counts	index_after_adding_entities		0.412%	0.151%	0.691%
large_dataset	bench_query_population_property_entities		-0.404%	-1.271%	0.171%
counts	multi_property_indexed_entities		0.229%	-0.569%	1.174%
indexing	query_people_count_indexed_multi-property_entities		0.196%	-0.215%	0.602%
sampling	sampling_multiple_unindexed_entities		0.194%	0.055%	0.403%
algorithm_benches	algorithm_sampling_multiple_l_reservoir		0.191%	-0.361%	0.798%
sampling	sampling_single_unindexed_entities		-0.151%	-0.285%	-0.033%
algorithm_benches	algorithm_sampling_single_l_reservoir		0.127%	-0.274%	0.711%
counts	multi_property_unindexed_entities		-0.120%	-1.343%	1.563%
indexing	with_query_results_indexed_multi-property_entities		-0.106%	-0.427%	0.392%
indexing	query_people_single_indexed_property_entities		-0.066%	-0.285%	0.262%
large_dataset	bench_query_population_multi_indexed_entities		0.062%	-0.295%	0.358%
sampling	sampling_single_l_reservoir_entities		0.004%	-0.587%	0.488%

Not Compared (no baseline yet)

Group	Bench	Reason
(none)

[k88hudson-cfa]

LGTM. I filed #1019 as a follow up, although it's very minor