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import csv
from collections import namedtuple
import os
import shutil
import sys
import time
import coverage
from tests.coveragetest import CoverageTest
class StressResult(namedtuple('StressResult', ['files', 'calls', 'lines', 'baseline', 'covered'])):
@property
def overhead(self):
return self.covered - self.baseline
NANOS = 1e9
TEST_FILE = """\
def parent(call_count, line_count):
for _ in range(call_count):
child(line_count)
def child(line_count):
for i in range(line_count):
x = 1
"""
def mk_main(file_count, call_count, line_count):
lines = []
lines.extend("import test{}".format(idx) for idx in range(file_count))
lines.extend("test{}.parent({}, {})".format(idx, call_count, line_count) for idx in range(file_count))
return "\n".join(lines)
class StressTest(CoverageTest):
def _compute_overhead(self, file_count, call_count, line_count):
for idx in range(file_count):
self.make_file('test{}.py'.format(idx), TEST_FILE)
self.make_file('testmain.py', mk_main(file_count, call_count, line_count))
start = time.perf_counter()
self.import_local_file("testmain", None)
baseline = time.perf_counter() - start
del sys.modules['testmain']
for idx in range(file_count):
del sys.modules['test{}'.format(idx)]
start = time.perf_counter()
cov = coverage.Coverage()
cov.start()
try: # pragma: nested
# Import the Python file, executing it.
mod = self.import_local_file("testmain", None)
finally: # pragma: nested
# Stop coverage.py.
covered = time.perf_counter() - start
stats = cov.collector.tracers[0].get_stats().copy()
cov.stop()
actual_file_count = 6 + file_count
actual_call_count = 68 + file_count * (1 + 1 + call_count + call_count + call_count)
actual_line_count = 295 + file_count
if stats is not None:
print("File counts", file_count, actual_file_count, stats['new_files'])
print("Call counts", call_count, actual_call_count, stats['calls'])
print("Line counts", line_count, actual_line_count, stats['lines'])
return StressResult(
actual_file_count,
actual_call_count,
actual_line_count,
baseline,
covered,
)
def stress_test(self):
for i in range(3):
for j in range(3):
for k in range(3):
self._compute_overhead(100*i+1, 100*j+1, 100*k+1)
return
line_result = self._compute_overhead(1, 1, int(1e8))
call_result = self._compute_overhead(1, int(1e7), 1)
file_result = self._compute_overhead(int(1e4), 1, 1)
line_overhead_estimate = 0
call_overhead_estimate = 0
file_overhead_estimate = 0
for i in range(20):
line_overhead_estimate = (
line_result.overhead * NANOS -
call_overhead_estimate * line_result.calls -
file_overhead_estimate * line_result.files
) / line_result.lines
call_overhead_estimate = (
call_result.overhead * NANOS -
line_overhead_estimate * call_result.lines -
file_overhead_estimate * call_result.files
) / call_result.calls
file_overhead_estimate = (
file_result.overhead * NANOS -
call_overhead_estimate * file_result.calls -
line_overhead_estimate * file_result.lines
) / file_result.files
line_baseline_estimate = 0
call_baseline_estimate = 0
file_baseline_estimate = 0
for i in range(20):
line_baseline_estimate = (
line_result.baseline * NANOS -
call_baseline_estimate * line_result.calls -
file_baseline_estimate * line_result.files
) / line_result.lines
call_baseline_estimate = (
call_result.baseline * NANOS -
line_baseline_estimate * call_result.lines -
file_baseline_estimate * call_result.files
) / call_result.calls
file_baseline_estimate = (
file_result.baseline * NANOS -
call_baseline_estimate * file_result.calls -
line_baseline_estimate * file_result.lines
) / file_result.files
print("Line: {:.2f} ns baseline, {:.2f} ns overhead, {:.2%} overhead".format(
line_baseline_estimate,
line_overhead_estimate,
line_overhead_estimate/line_baseline_estimate,
))
print("Call: {:.2f} ns baseline, {:.2f} ns overhead, {:.2%} overhead".format(
call_baseline_estimate,
call_overhead_estimate,
call_overhead_estimate/call_baseline_estimate,
))
print("File: {:.2f} ns baseline, {:.2f} ns overhead, {:.2%} overhead".format(
file_baseline_estimate,
file_overhead_estimate,
file_overhead_estimate/file_baseline_estimate,
))
assert False
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