pytest_park.models.results
[docs]
module
pytest_park.models.results
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119 | from __future__ import annotations
from dataclasses import dataclass
@dataclass(slots=True)
class MethodImprovement:
"""Aggregated improvement metrics for a method within a group."""
group: str
method: str
current_benchmark_name: str | None = None
comparison_benchmark_name: str | None = None
original_benchmark_name: str | None = None
orig_arg_count: int = 0
ref_arg_count: int = 0
avg_vs_orig_time: float | None = None
avg_vs_orig_pct: float | None = None
med_vs_orig_time: float | None = None
med_vs_orig_pct: float | None = None
min_vs_orig_time: float | None = None
min_vs_orig_pct: float | None = None
max_vs_orig_time: float | None = None
max_vs_orig_pct: float | None = None
avg_vs_prev_time: float | None = None
avg_vs_prev_pct: float | None = None
med_vs_prev_time: float | None = None
med_vs_prev_pct: float | None = None
min_vs_prev_time: float | None = None
min_vs_prev_pct: float | None = None
max_vs_prev_time: float | None = None
max_vs_prev_pct: float | None = None
@dataclass(slots=True)
class OverviewStatistics:
"""Accumulated comparison statistics across all benchmark deltas."""
count: int
avg_delta_pct: float
median_delta_pct: float
avg_speedup: float
improved: int
regressed: int
unchanged: int
@dataclass(slots=True)
class MethodHistoryPoint:
"""A single mean observation for a method in one run."""
run_id: str
timestamp: str | None
method: str
distinct: str
mean: float
@dataclass(slots=True)
class MethodHistoryComparison:
"""A method mean observation compared against a reference run baseline."""
run_id: str
timestamp: str | None
method: str
distinct: str
mean: float
reference_mean: float
delta_pct: float
speedup: float
@dataclass(slots=True)
class PriorRunComparison:
"""Comparison of a candidate method mean against one prior reference run."""
method: str
candidate_run_id: str
reference_run_id: str
distinct: str
mean: float
reference_mean: float
delta_pct: float
speedup: float
reference_timestamp: str | None
@dataclass(slots=True)
class ImprovementSummary:
"""Aggregated improvement metrics across all methods."""
count: int
avg_vs_orig_time: float | None = None
avg_vs_orig_pct: float | None = None
med_vs_orig_time: float | None = None
med_vs_orig_pct: float | None = None
min_vs_orig_time: float | None = None
min_vs_orig_pct: float | None = None
max_vs_orig_time: float | None = None
max_vs_orig_pct: float | None = None
avg_vs_prev_time: float | None = None
avg_vs_prev_pct: float | None = None
med_vs_prev_time: float | None = None
med_vs_prev_pct: float | None = None
min_vs_prev_time: float | None = None
min_vs_prev_pct: float | None = None
max_vs_prev_time: float | None = None
max_vs_prev_pct: float | None = None
@dataclass(slots=True)
class SplitBarRow:
"""Original vs new mean pair for one argument combination."""
argument: str
original: float
new: float
delta_pct: float
speedup: float
|