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MemoryWall Time

10 hours ago 3f2568a main push

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.

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33 total

bench_mem_gc_reclaim_cycle

benchmarks/test_memory.py

2.1 MB

bench_mem_runtime_context_create

benchmarks/test_memory.py

87 KB

bench_mem_runtime_4x_context_payload

benchmarks/test_memory.py

2.2 MB

bench_eval_async_fan_out_10

benchmarks/test_eval_async.py

207.6 µs

bench_eval_arithmetic

benchmarks/test_eval_sync.py

3.2 µs

bench_marshal_int

benchmarks/test_marshaling.py

3.6 µs

bench_marshal_string_1kb

benchmarks/test_marshaling.py

4.2 µs

bench_host_call_identity_int

benchmarks/test_host_functions.py

3.9 µs

bench_marshal_string_100kb

benchmarks/test_marshaling.py

28.9 µs

bench_eval_string_concat

benchmarks/test_eval_sync.py

3.8 µs

bench_marshal_bytes_1mb

benchmarks/test_marshaling.py

77.8 µs

bench_eval_async_sequential_10

benchmarks/test_eval_async.py

288.4 µs

bench_marshal_dict_flat_100

benchmarks/test_marshaling.py

42.9 µs

bench_host_call_async_noop

benchmarks/test_host_functions.py

100.3 µs

bench_eval_fibonacci_30

benchmarks/test_eval_sync.py

103.5 ms

bench_eval_json_parse

benchmarks/test_eval_sync.py

17.3 µs

bench_runtime_and_context

benchmarks/test_startup.py

123.4 µs

bench_eval_async_immediate_host

benchmarks/test_eval_async.py

101.7 µs

bench_eval_noop

benchmarks/test_eval_sync.py

2.7 µs

bench_eval_object_create_1k

benchmarks/test_eval_sync.py

512.3 µs

bench_marshal_dict_nested_5

benchmarks/test_marshaling.py

6.1 µs

bench_eval_json_parse_10kb

benchmarks/test_eval_sync.py

228.7 µs

bench_runtime_create

benchmarks/test_startup.py

11.9 µs

bench_host_call_noop

benchmarks/test_host_functions.py

3.3 µs

bench_eval_regex

benchmarks/test_eval_sync.py

30.6 µs

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