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valgrind.py
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144 lines (122 loc) · 5.13 KB
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from __future__ import annotations
import os
import warnings
from typing import TYPE_CHECKING
from pytest_codspeed import __semver_version__
from pytest_codspeed.instruments import Instrument
from pytest_codspeed.instruments.hooks import InstrumentHooks
from pytest_codspeed.utils import SUPPORTS_PERF_TRAMPOLINE
if TYPE_CHECKING:
from typing import Any, Callable
from pytest import Session
from pytest_codspeed.config import PedanticOptions
from pytest_codspeed.instruments import P, T
from pytest_codspeed.plugin import BenchmarkMarkerOptions, CodSpeedConfig
class ValgrindInstrument(Instrument):
instrument = "valgrind"
instrument_hooks: InstrumentHooks | None
def __init__(self, config: CodSpeedConfig) -> None:
self.benchmark_count = 0
try:
self.instrument_hooks = InstrumentHooks()
self.instrument_hooks.set_integration("pytest-codspeed", __semver_version__)
except RuntimeError as e:
if os.environ.get("CODSPEED_ENV") is not None:
raise Exception(
"Failed to initialize CPU simulation instrument hooks"
) from e
self.instrument_hooks = None
self.should_measure = self.instrument_hooks is not None
def get_instrument_config_str_and_warns(self) -> tuple[str, list[str]]:
config = (
f"mode: simulation, "
f"callgraph: {'enabled' if SUPPORTS_PERF_TRAMPOLINE else 'not supported'}"
)
warnings = []
if not self.should_measure:
warnings.append(
"\033[1m"
"NOTICE: codspeed is enabled, but no performance measurement"
" will be made since it's running in an unknown environment."
"\033[0m"
)
return config, warnings
def measure(
self,
marker_options: BenchmarkMarkerOptions,
name: str,
uri: str,
fn: Callable[P, T],
*args: P.args,
**kwargs: P.kwargs,
) -> T:
self.benchmark_count += 1
if not self.instrument_hooks:
return fn(*args, **kwargs)
def __codspeed_root_frame__() -> T:
return fn(*args, **kwargs)
if SUPPORTS_PERF_TRAMPOLINE:
# Warmup CPython performance map cache
__codspeed_root_frame__()
# Manually call the library function to avoid an extra stack frame. Also
# call the callgrind markers directly to avoid extra overhead.
self.instrument_hooks.lib.callgrind_start_instrumentation()
try:
return __codspeed_root_frame__()
finally:
# Ensure instrumentation is stopped even if the test failed
self.instrument_hooks.lib.callgrind_stop_instrumentation()
self.instrument_hooks.set_executed_benchmark(uri)
def measure_pedantic(
self,
marker_options: BenchmarkMarkerOptions,
pedantic_options: PedanticOptions[T],
name: str,
uri: str,
) -> T:
if pedantic_options.rounds != 1 or pedantic_options.iterations != 1:
warnings.warn(
"Valgrind instrument ignores rounds and iterations settings "
"in pedantic mode"
)
if not self.instrument_hooks:
args, kwargs = pedantic_options.setup_and_get_args_kwargs()
out = pedantic_options.target(*args, **kwargs)
if pedantic_options.teardown is not None:
pedantic_options.teardown(*args, **kwargs)
return out
def __codspeed_root_frame__(*args, **kwargs) -> T:
return pedantic_options.target(*args, **kwargs)
# Warmup
warmup_rounds = max(
pedantic_options.warmup_rounds, 1 if SUPPORTS_PERF_TRAMPOLINE else 0
)
for _ in range(warmup_rounds):
args, kwargs = pedantic_options.setup_and_get_args_kwargs()
__codspeed_root_frame__(*args, **kwargs)
if pedantic_options.teardown is not None:
pedantic_options.teardown(*args, **kwargs)
# Compute the actual result of the function
args, kwargs = pedantic_options.setup_and_get_args_kwargs()
self.instrument_hooks.lib.callgrind_start_instrumentation()
try:
out = __codspeed_root_frame__(*args, **kwargs)
finally:
self.instrument_hooks.lib.callgrind_stop_instrumentation()
self.instrument_hooks.set_executed_benchmark(uri)
if pedantic_options.teardown is not None:
pedantic_options.teardown(*args, **kwargs)
return out
def report(self, session: Session) -> None:
reporter = session.config.pluginmanager.get_plugin("terminalreporter")
assert reporter is not None, "terminalreporter not found"
count_suffix = "benchmarked" if self.should_measure else "benchmark tested"
reporter.write_sep(
"=",
f"{self.benchmark_count} {count_suffix}",
)
def get_result_dict(self) -> dict[str, Any]:
return {
"instrument": {"type": self.instrument},
# bench results will be dumped by valgrind
}