microproduct/atmosphericDelay/ISCEApp/site-packages/hypothesis/internal/scrutineer.py

128 lines
4.8 KiB
Python

# This file is part of Hypothesis, which may be found at
# https://github.com/HypothesisWorks/hypothesis/
#
# Most of this work is copyright (C) 2013-2021 David R. MacIver
# (david@drmaciver.com), but it contains contributions by others. See
# CONTRIBUTING.rst for a full list of people who may hold copyright, and
# consult the git log if you need to determine who owns an individual
# contribution.
#
# This Source Code Form is subject to the terms of the Mozilla Public License,
# v. 2.0. If a copy of the MPL was not distributed with this file, You can
# obtain one at https://mozilla.org/MPL/2.0/.
#
# END HEADER
import sys
from collections import defaultdict
from functools import lru_cache, reduce
from itertools import groupby
from pathlib import Path
from hypothesis._settings import Phase, Verbosity
from hypothesis.internal.escalation import is_hypothesis_file
@lru_cache(maxsize=None)
def should_trace_file(fname):
# fname.startswith("<") indicates runtime code-generation via compile,
# e.g. compile("def ...", "<string>", "exec") in e.g. attrs methods.
return not (is_hypothesis_file(fname) or fname.startswith("<"))
class Tracer:
"""A super-simple branch coverage tracer."""
__slots__ = ("branches", "_previous_location")
def __init__(self):
self.branches = set()
self._previous_location = None
def trace(self, frame, event, arg):
if event == "call":
return self.trace
elif event == "line":
fname = frame.f_code.co_filename
if should_trace_file(fname):
current_location = (fname, frame.f_lineno)
self.branches.add((self._previous_location, current_location))
self._previous_location = current_location
def get_explaining_locations(traces):
# Traces is a dict[interesting_origin | None, set[frozenset[tuple[str, int]]]]
# Each trace in the set might later become a Counter instead of frozenset.
if not traces:
return {}
unions = {origin: set().union(*values) for origin, values in traces.items()}
seen_passing = {None}.union(*unions.pop(None, set()))
always_failing_never_passing = {
origin: reduce(set.intersection, [set().union(*v) for v in values])
- seen_passing
for origin, values in traces.items()
if origin is not None
}
# Build the observed parts of the control-flow graph for each origin
cf_graphs = {origin: defaultdict(set) for origin in unions}
for origin, seen_arcs in unions.items():
for src, dst in seen_arcs:
cf_graphs[origin][src].add(dst)
assert cf_graphs[origin][None], "Expected start node with >=1 successor"
# For each origin, our explanation is the always_failing_never_passing lines
# which are reachable from the start node (None) without passing through another
# AFNP line. So here's a whatever-first search with early stopping:
explanations = defaultdict(set)
for origin in unions:
queue = {None}
seen = set()
while queue:
assert queue.isdisjoint(seen), f"Intersection: {queue & seen}"
src = queue.pop()
seen.add(src)
if src in always_failing_never_passing[origin]:
explanations[origin].add(src)
else:
queue.update(cf_graphs[origin][src] - seen)
return explanations
LIB_DIR = str(Path(sys.executable).parent / "lib")
EXPLANATION_STUB = (
"Explanation:",
" These lines were always and only run by failing examples:",
)
HAD_TRACE = " We didn't try to explain this, because sys.gettrace()="
def make_report(explanations, cap_lines_at=5):
report = defaultdict(list)
for origin, locations in explanations.items():
assert locations # or else we wouldn't have stored the key, above.
report_lines = [
" {}:{}".format(k, ", ".join(map(str, sorted(l for _, l in v))))
for k, v in groupby(locations, lambda kv: kv[0])
]
report_lines.sort(key=lambda line: (line.startswith(LIB_DIR), line))
if len(report_lines) > cap_lines_at + 1:
msg = " (and {} more with settings.verbosity >= verbose)"
report_lines[cap_lines_at:] = [msg.format(len(report_lines[cap_lines_at:]))]
report[origin] = list(EXPLANATION_STUB) + report_lines
return report
def explanatory_lines(traces, settings):
if Phase.explain in settings.phases and sys.gettrace() and not traces:
return defaultdict(
lambda: [EXPLANATION_STUB[0], HAD_TRACE + repr(sys.gettrace())]
)
# Return human-readable report lines summarising the traces
explanations = get_explaining_locations(traces)
max_lines = 5 if settings.verbosity <= Verbosity.normal else 100
return make_report(explanations, cap_lines_at=max_lines)