Files
littlefs/scripts/cov.py
Christopher Haster c63ed79c5f scripts: Prefer .a for single entry namedtuples
- CsvInt.x -> CsvInt.a
- CsvFloat.x -> CsvFloat.a
- Rev.x -> Rev.a

This matches CsvFrac.a (paired with CsvFrac.b), and avoids confusion
with x/y variables such as Tile.x and Tile.y.

The other contender was .v, since these are cs*v* related types, but
sticking with .a gets the point across that the name really doesn't have
any meaning.

There's also some irony that we're forcing namedtuples to have
meaningless names, but it is useful to have a quick accessor for the
internal value.
2025-04-16 15:23:03 -05:00

1227 lines
42 KiB
Python
Executable File

#!/usr/bin/env python3
#
# Script to find coverage info after running tests.
#
# Example:
# ./scripts/cov.py \
# lfs.t.a.gcda lfs_util.t.a.gcda \
# -Flfs.c -Flfs_util.c -slines
#
# Copyright (c) 2022, The littlefs authors.
# Copyright (c) 2020, Arm Limited. All rights reserved.
# SPDX-License-Identifier: BSD-3-Clause
#
# prevent local imports
if __name__ == "__main__":
__import__('sys').path.pop(0)
import collections as co
import csv
import io
import itertools as it
import json
import math as mt
import os
import re
import shlex
import subprocess as sp
import sys
# TODO use explode_asserts to avoid counting assert branches?
# TODO use dwarf=info to find functions for inline functions?
GCOV_PATH = ['gcov']
# integer fields
class CsvInt(co.namedtuple('CsvInt', 'a')):
__slots__ = ()
def __new__(cls, a=0):
if isinstance(a, CsvInt):
return a
if isinstance(a, str):
try:
a = int(a, 0)
except ValueError:
# also accept +-∞ and +-inf
if re.match('^\s*\+?\s*(?:∞|inf)\s*$', a):
a = mt.inf
elif re.match('^\s*-\s*(?:∞|inf)\s*$', a):
a = -mt.inf
else:
raise
if not (isinstance(a, int) or mt.isinf(a)):
a = int(a)
return super().__new__(cls, a)
def __repr__(self):
return '%s(%r)' % (self.__class__.__name__, self.a)
def __str__(self):
if self.a == mt.inf:
return ''
elif self.a == -mt.inf:
return '-∞'
else:
return str(self.a)
def __bool__(self):
return bool(self.a)
def __int__(self):
assert not mt.isinf(self.a)
return self.a
def __float__(self):
return float(self.a)
none = '%7s' % '-'
def table(self):
return '%7s' % (self,)
def diff(self, other):
new = self.a if self else 0
old = other.a if other else 0
diff = new - old
if diff == +mt.inf:
return '%7s' % '+∞'
elif diff == -mt.inf:
return '%7s' % '-∞'
else:
return '%+7d' % diff
def ratio(self, other):
new = self.a if self else 0
old = other.a if other else 0
if mt.isinf(new) and mt.isinf(old):
return 0.0
elif mt.isinf(new):
return +mt.inf
elif mt.isinf(old):
return -mt.inf
elif not old and not new:
return 0.0
elif not old:
return +mt.inf
else:
return (new-old) / old
def __pos__(self):
return self.__class__(+self.a)
def __neg__(self):
return self.__class__(-self.a)
def __abs__(self):
return self.__class__(abs(self.a))
def __add__(self, other):
return self.__class__(self.a + other.a)
def __sub__(self, other):
return self.__class__(self.a - other.a)
def __mul__(self, other):
return self.__class__(self.a * other.a)
def __truediv__(self, other):
if not other:
if self >= self.__class__(0):
return self.__class__(+mt.inf)
else:
return self.__class__(-mt.inf)
return self.__class__(self.a // other.a)
def __mod__(self, other):
return self.__class__(self.a % other.a)
# fractional fields, a/b
class CsvFrac(co.namedtuple('CsvFrac', 'a,b')):
__slots__ = ()
def __new__(cls, a=0, b=None):
if isinstance(a, CsvFrac) and b is None:
return a
if isinstance(a, str) and b is None:
a, b = a.split('/', 1)
if b is None:
b = a
return super().__new__(cls, CsvInt(a), CsvInt(b))
def __repr__(self):
return '%s(%r, %r)' % (self.__class__.__name__, self.a.a, self.b.a)
def __str__(self):
return '%s/%s' % (self.a, self.b)
def __bool__(self):
return bool(self.a)
def __int__(self):
return int(self.a)
def __float__(self):
return float(self.a)
none = '%11s' % '-'
def table(self):
return '%11s' % (self,)
def notes(self):
if self.b.a == 0 and self.a.a == 0:
t = 1.0
elif self.b.a == 0:
t = mt.copysign(mt.inf, self.a.a)
else:
t = self.a.a / self.b.a
return ['%' if t == +mt.inf
else '-∞%' if t == -mt.inf
else '%.1f%%' % (100*t)]
def diff(self, other):
new_a, new_b = self if self else (CsvInt(0), CsvInt(0))
old_a, old_b = other if other else (CsvInt(0), CsvInt(0))
return '%11s' % ('%s/%s' % (
new_a.diff(old_a).strip(),
new_b.diff(old_b).strip()))
def ratio(self, other):
new_a, new_b = self if self else (CsvInt(0), CsvInt(0))
old_a, old_b = other if other else (CsvInt(0), CsvInt(0))
new = new_a.a/new_b.a if new_b.a else 1.0
old = old_a.a/old_b.a if old_b.a else 1.0
return new - old
def __pos__(self):
return self.__class__(+self.a, +self.b)
def __neg__(self):
return self.__class__(-self.a, -self.b)
def __abs__(self):
return self.__class__(abs(self.a), abs(self.b))
def __add__(self, other):
return self.__class__(self.a + other.a, self.b + other.b)
def __sub__(self, other):
return self.__class__(self.a - other.a, self.b - other.b)
def __mul__(self, other):
return self.__class__(self.a * other.a, self.b * other.b)
def __truediv__(self, other):
return self.__class__(self.a / other.a, self.b / other.b)
def __mod__(self, other):
return self.__class__(self.a % other.a, self.b % other.b)
def __eq__(self, other):
self_a, self_b = self if self.b.a else (CsvInt(1), CsvInt(1))
other_a, other_b = other if other.b.a else (CsvInt(1), CsvInt(1))
return self_a * other_b == other_a * self_b
def __ne__(self, other):
return not self.__eq__(other)
def __lt__(self, other):
self_a, self_b = self if self.b.a else (CsvInt(1), CsvInt(1))
other_a, other_b = other if other.b.a else (CsvInt(1), CsvInt(1))
return self_a * other_b < other_a * self_b
def __gt__(self, other):
return self.__class__.__lt__(other, self)
def __le__(self, other):
return not self.__gt__(other)
def __ge__(self, other):
return not self.__lt__(other)
# coverage results
class CovResult(co.namedtuple('CovResult', [
'file', 'function', 'line',
'calls', 'hits', 'funcs', 'lines', 'branches'])):
_prefix = 'cov'
_by = ['file', 'function', 'line']
_fields = ['calls', 'hits', 'funcs', 'lines', 'branches']
_sort = ['funcs', 'lines', 'branches', 'hits', 'calls']
_types = {
'calls': CsvInt, 'hits': CsvInt,
'funcs': CsvFrac, 'lines': CsvFrac, 'branches': CsvFrac}
__slots__ = ()
def __new__(cls, file='', function='', line=0,
calls=0, hits=0, funcs=0, lines=0, branches=0):
return super().__new__(cls, file, function, int(CsvInt(line)),
CsvInt(calls), CsvInt(hits),
CsvFrac(funcs), CsvFrac(lines), CsvFrac(branches))
def __add__(self, other):
return CovResult(self.file, self.function, self.line,
max(self.calls, other.calls),
max(self.hits, other.hits),
self.funcs + other.funcs,
self.lines + other.lines,
self.branches + other.branches)
def openio(path, mode='r', buffering=-1):
# allow '-' for stdin/stdout
import os
if path == '-':
if 'r' in mode:
return os.fdopen(os.dup(sys.stdin.fileno()), mode, buffering)
else:
return os.fdopen(os.dup(sys.stdout.fileno()), mode, buffering)
else:
return open(path, mode, buffering)
def collect_gcov(gcda_path, *,
gcov_path=GCOV_PATH,
**args):
# get coverage info through gcov's json output
# note, gcov-path may contain extra args
cmd = GCOV_PATH + ['-b', '-t', '--json-format', gcda_path]
if args.get('verbose'):
print(' '.join(shlex.quote(c) for c in cmd))
proc = sp.Popen(cmd,
stdout=sp.PIPE,
universal_newlines=True,
errors='replace',
close_fds=False)
cov = json.load(proc.stdout)
proc.wait()
if proc.returncode != 0:
raise sp.CalledProcessError(proc.returncode, proc.args)
return cov
def collect_cov(gcda_paths, *,
sources=None,
everything=False,
**args):
results = []
for gcda_path in gcda_paths:
# find coverage info
cov = collect_gcov(gcda_path, **args)
# collect line/branch coverage
for file in cov['files']:
# ignore filtered sources
if sources is not None:
if not any(os.path.abspath(file['file']) == os.path.abspath(s)
for s in sources):
continue
else:
# default to only cwd
if not everything and not os.path.commonpath([
os.getcwd(),
os.path.abspath(file['file'])]) == os.getcwd():
continue
# simplify path
if os.path.commonpath([
os.getcwd(),
os.path.abspath(file['file'])]) == os.getcwd():
file_name = os.path.relpath(file['file'])
else:
file_name = os.path.abspath(file['file'])
for func in file['functions']:
func_name = func.get('name', '(inlined)')
# discard internal functions (this includes injected test cases)
if not everything and func_name.startswith('__'):
continue
# go ahead and add functions, later folding will merge this if
# there are other hits on this line
results.append(CovResult(
file_name, func_name, func['start_line'],
func['execution_count'], 0,
CsvFrac(1 if func['execution_count'] > 0 else 0, 1),
0,
0))
for line in file['lines']:
func_name = line.get('function_name', '(inlined)')
# discard internal function (this includes injected test cases)
if not everything and func_name.startswith('__'):
continue
# go ahead and add lines, later folding will merge this if
# there are other hits on this line
results.append(CovResult(
file_name, func_name, line['line_number'],
0, line['count'],
0,
CsvFrac(1 if line['count'] > 0 else 0, 1),
CsvFrac(
sum(1 if branch['count'] > 0 else 0
for branch in line['branches']),
len(line['branches']))))
return results
# common folding/tabling/read/write code
class Rev(co.namedtuple('Rev', 'a')):
__slots__ = ()
# yes we need all of these because we're a namedtuple
def __lt__(self, other):
return self.a > other.a
def __gt__(self, other):
return self.a < other.a
def __le__(self, other):
return self.a >= other.a
def __ge__(self, other):
return self.a <= other.a
def fold(Result, results, *,
by=None,
defines=[],
sort=None,
depth=1,
**_):
# stop when depth hits zero
if depth == 0:
return []
# organize by by
if by is None:
by = Result._by
for k in it.chain(by or [], (k for k, _ in defines)):
if k not in Result._by and k not in Result._fields:
print("error: could not find field %r?" % k,
file=sys.stderr)
sys.exit(-1)
# filter by matching defines
if defines:
results_ = []
for r in results:
if all(str(getattr(r, k)) in vs for k, vs in defines):
results_.append(r)
results = results_
# organize results into conflicts
folding = co.OrderedDict()
for r in results:
name = tuple(getattr(r, k) for k in by)
if name not in folding:
folding[name] = []
folding[name].append(r)
# merge conflicts
folded = []
for name, rs in folding.items():
folded.append(sum(rs[1:], start=rs[0]))
# sort, note that python's sort is stable
folded.sort(key=lambda r: (
# sort by explicit sort fields
tuple((Rev
if reverse ^ (not k or k in Result._fields)
else lambda x: x)(
tuple((getattr(r, k_),)
if getattr(r, k_) is not None
else ()
for k_ in ([k] if k else Result._sort)))
for k, reverse in (sort or [])),
# sort by result
r))
# recurse if we have recursive results
if hasattr(Result, '_children'):
folded = [r._replace(**{
Result._children: fold(
Result, getattr(r, Result._children),
by=by,
# only filter defines at the top level!
sort=sort,
depth=depth-1)})
for r in folded]
return folded
def table(Result, results, diff_results=None, *,
by=None,
fields=None,
sort=None,
labels=None,
depth=1,
hot=None,
percent=False,
all=False,
compare=None,
no_header=False,
small_header=False,
no_total=False,
small_table=False,
summary=False,
**_):
all_ = all; del all
if by is None:
by = Result._by
if fields is None:
fields = Result._fields
types = Result._types
# organize by name
table = {
','.join(str(getattr(r, k)
if getattr(r, k) is not None
else '')
for k in by): r
for r in results}
diff_table = {
','.join(str(getattr(r, k)
if getattr(r, k) is not None
else '')
for k in by): r
for r in diff_results or []}
# lost results? this only happens if we didn't fold by the same
# by field, which is an error and risks confusing results
assert len(table) == len(results)
if diff_results is not None:
assert len(diff_table) == len(diff_results)
# find compare entry if there is one
if compare:
compare_r = table.get(','.join(str(k) for k in compare))
# build up our lines
lines = []
# header
if not no_header:
header = ['%s%s' % (
','.join(labels if labels is not None else by),
' (%d added, %d removed)' % (
sum(1 for n in table if n not in diff_table),
sum(1 for n in diff_table if n not in table))
if diff_results is not None and not percent else '')
if not small_header and not small_table and not summary
else '']
if diff_results is None or percent:
for k in fields:
header.append(k)
else:
for k in fields:
header.append('o'+k)
for k in fields:
header.append('n'+k)
for k in fields:
header.append('d'+k)
lines.append(header)
# delete these to try to catch typos below, we need to rebuild
# these tables at each recursive layer
del table
del diff_table
# entry helper
def table_entry(name, r, diff_r=None):
# prepend name
entry = [name]
# normal entry?
if ((compare is None or r == compare_r)
and diff_results is None):
for k in fields:
entry.append(
(getattr(r, k).table(),
getattr(getattr(r, k), 'notes', lambda: [])())
if getattr(r, k, None) is not None
else types[k].none)
# compare entry?
elif diff_results is None:
for k in fields:
entry.append(
(getattr(r, k).table()
if getattr(r, k, None) is not None
else types[k].none,
(lambda t: ['+∞%'] if t == +mt.inf
else ['-∞%'] if t == -mt.inf
else ['%+.1f%%' % (100*t)])(
types[k].ratio(
getattr(r, k, None),
getattr(compare_r, k, None)))))
# percent entry?
elif percent:
for k in fields:
entry.append(
(getattr(r, k).table()
if getattr(r, k, None) is not None
else types[k].none,
(lambda t: ['+∞%'] if t == +mt.inf
else ['-∞%'] if t == -mt.inf
else ['%+.1f%%' % (100*t)])(
types[k].ratio(
getattr(r, k, None),
getattr(diff_r, k, None)))))
# diff entry?
else:
for k in fields:
entry.append(getattr(diff_r, k).table()
if getattr(diff_r, k, None) is not None
else types[k].none)
for k in fields:
entry.append(getattr(r, k).table()
if getattr(r, k, None) is not None
else types[k].none)
for k in fields:
entry.append(
(types[k].diff(
getattr(r, k, None),
getattr(diff_r, k, None)),
(lambda t: ['+∞%'] if t == +mt.inf
else ['-∞%'] if t == -mt.inf
else ['%+.1f%%' % (100*t)] if t
else [])(
types[k].ratio(
getattr(r, k, None),
getattr(diff_r, k, None)))))
# append any notes
if hasattr(Result, '_notes') and r is not None:
notes = sorted(getattr(r, Result._notes))
if isinstance(entry[-1], tuple):
entry[-1] = (entry[-1][0], entry[-1][1] + notes)
else:
entry[-1] = (entry[-1], notes)
return entry
# recursive entry helper
def table_recurse(results_, diff_results_,
depth_,
prefixes=('', '', '', '')):
# build the children table at each layer
table_ = {
','.join(str(getattr(r, k)
if getattr(r, k) is not None
else '')
for k in by): r
for r in results_}
diff_table_ = {
','.join(str(getattr(r, k)
if getattr(r, k) is not None
else '')
for k in by): r
for r in diff_results_ or []}
names_ = [n
for n in table_.keys() | diff_table_.keys()
if diff_results is None
or all_
or any(
types[k].ratio(
getattr(table_.get(n), k, None),
getattr(diff_table_.get(n), k, None))
for k in fields)]
# sort again, now with diff info, note that python's sort is stable
names_.sort(key=lambda n: (
# sort by explicit sort fields
next(
tuple((Rev
if reverse ^ (not k or k in Result._fields)
else lambda x: x)(
tuple((getattr(r_, k_),)
if getattr(r_, k_) is not None
else ()
for k_ in ([k] if k else Result._sort)))
for k, reverse in (sort or []))
for r_ in [table_.get(n), diff_table_.get(n)]
if r_ is not None),
# sort by ratio if diffing
Rev(tuple(types[k].ratio(
getattr(table_.get(n), k, None),
getattr(diff_table_.get(n), k, None))
for k in fields))
if diff_results is not None
else (),
# move compare entry to the top, note this can be
# overridden by explicitly sorting by fields
(table_.get(n) != compare_r,
# sort by ratio if comparing
Rev(tuple(
types[k].ratio(
getattr(table_.get(n), k, None),
getattr(compare_r, k, None))
for k in fields)))
if compare
else (),
# sort by result
(table_[n],) if n in table_ else (),
# and finally by name (diffs may be missing results)
n))
for i, name in enumerate(names_):
# find comparable results
r = table_.get(name)
diff_r = diff_table_.get(name)
# figure out a good label
if labels is not None:
label = next(
','.join(str(getattr(r_, k)
if getattr(r_, k) is not None
else '')
for k in labels)
for r_ in [r, diff_r]
if r_ is not None)
else:
label = name
# build line
line = table_entry(label, r, diff_r)
# add prefixes
line = [x if isinstance(x, tuple) else (x, []) for x in line]
line[0] = (prefixes[0+(i==len(names_)-1)] + line[0][0], line[0][1])
lines.append(line)
# recurse?
if name in table_ and depth_ > 1:
table_recurse(
getattr(r, Result._children),
getattr(diff_r, Result._children, None),
depth_-1,
(prefixes[2+(i==len(names_)-1)] + "|-> ",
prefixes[2+(i==len(names_)-1)] + "'-> ",
prefixes[2+(i==len(names_)-1)] + "| ",
prefixes[2+(i==len(names_)-1)] + " "))
# build entries
if not summary:
table_recurse(results, diff_results, depth)
# total
if not no_total and not (small_table and not summary):
r = next(iter(fold(Result, results, by=[])), None)
if diff_results is None:
diff_r = None
else:
diff_r = next(iter(fold(Result, diff_results, by=[])), None)
lines.append(table_entry('TOTAL', r, diff_r))
# homogenize
lines = [[x if isinstance(x, tuple) else (x, []) for x in line]
for line in lines]
# find the best widths, note that column 0 contains the names and is
# handled a bit differently
widths = co.defaultdict(lambda: 7, {0: 7})
nwidths = co.defaultdict(lambda: 0)
for line in lines:
for i, x in enumerate(line):
widths[i] = max(widths[i], ((len(x[0])+1+4-1)//4)*4-1)
if i != len(line)-1:
nwidths[i] = max(nwidths[i], 1+sum(2+len(n) for n in x[1]))
# print our table
for line in lines:
print('%-*s %s' % (
widths[0], line[0][0],
' '.join('%*s%-*s' % (
widths[i], x[0],
nwidths[i], ' (%s)' % ', '.join(x[1]) if x[1] else '')
for i, x in enumerate(line[1:], 1))))
def read_csv(path, Result, *,
depth=1,
prefix=None,
**_):
# prefix? this only applies to field fields
if prefix is None:
if hasattr(Result, '_prefix'):
prefix = '%s_' % Result._prefix
else:
prefix = ''
by = Result._by
fields = Result._fields
with openio(path, 'r') as f:
# csv or json? assume json starts with [
is_json = (f.buffer.peek(1)[:1] == b'[')
# read csv?
if not is_json:
results = []
reader = csv.DictReader(f, restval='')
for r in reader:
if not any(prefix+k in r and r[prefix+k].strip()
for k in fields):
continue
try:
# note this allows by/fields to overlap
results.append(Result(**(
{k: r[k] for k in by
if k in r
and r[k].strip()}
| {k: r[prefix+k] for k in fields
if prefix+k in r
and r[prefix+k].strip()})))
except TypeError:
pass
return results
# read json?
else:
import json
def unjsonify(results, depth_):
results_ = []
for r in results:
if not any(prefix+k in r and r[prefix+k].strip()
for k in fields):
continue
try:
# note this allows by/fields to overlap
results_.append(Result(**(
{k: r[k] for k in by
if k in r
and r[k] is not None}
| {k: r[prefix+k] for k in fields
if prefix+k in r
and r[prefix+k] is not None}
| ({Result._children: unjsonify(
r[Result._children],
depth_-1)}
if hasattr(Result, '_children')
and Result._children in r
and r[Result._children] is not None
and depth_ > 1
else {})
| ({Result._notes: set(r[Result._notes])}
if hasattr(Result, '_notes')
and Result._notes in r
and r[Result._notes] is not None
else {}))))
except TypeError:
pass
return results_
return unjsonify(json.load(f), depth)
def write_csv(path, Result, results, *,
json=False,
by=None,
fields=None,
depth=1,
prefix=None,
**_):
# prefix? this only applies to field fields
if prefix is None:
if hasattr(Result, '_prefix'):
prefix = '%s_' % Result._prefix
else:
prefix = ''
if by is None:
by = Result._by
if fields is None:
fields = Result._fields
with openio(path, 'w') as f:
# write csv?
if not json:
writer = csv.DictWriter(f, list(
co.OrderedDict.fromkeys(it.chain(
by,
(prefix+k for k in fields))).keys()))
writer.writeheader()
for r in results:
# note this allows by/fields to overlap
writer.writerow(
{k: getattr(r, k)
for k in by
if getattr(r, k) is not None}
| {prefix+k: str(getattr(r, k))
for k in fields
if getattr(r, k) is not None})
# write json?
else:
import json
# the neat thing about json is we can include recursive results
def jsonify(results, depth_):
results_ = []
for r in results:
# note this allows by/fields to overlap
results_.append(
{k: getattr(r, k)
for k in by
if getattr(r, k) is not None}
| {prefix+k: str(getattr(r, k))
for k in fields
if getattr(r, k) is not None}
| ({Result._children: jsonify(
getattr(r, Result._children),
depth_-1)}
if hasattr(Result, '_children')
and getattr(r, Result._children)
and depth_ > 1
else {})
| ({Result._notes: list(
getattr(r, Result._notes))}
if hasattr(Result, '_notes')
and getattr(r, Result._notes)
else {}))
return results_
json.dump(jsonify(results, depth), f,
separators=(',', ':'))
def annotate(Result, results, *,
annotate=False,
lines=False,
branches=False,
**args):
# if neither branches/lines specified, color both
if annotate and not lines and not branches:
lines, branches = True, True
for path in co.OrderedDict.fromkeys(r.file for r in results).keys():
# flatten to line info
results = fold(Result, results, by=['file', 'line'])
table = {r.line: r for r in results if r.file == path}
# calculate spans to show
if not annotate:
spans = []
last = None
func = None
for line, r in sorted(table.items()):
if ((lines and int(r.hits) == 0)
or (branches and r.branches.a < r.branches.b)):
if last is not None and line - last.stop <= args['context']:
last = range(
last.start,
line+1+args['context'])
else:
if last is not None:
spans.append((last, func))
last = range(
line-args['context'],
line+1+args['context'])
func = r.function
if last is not None:
spans.append((last, func))
with open(path) as f:
skipped = False
for i, line in enumerate(f):
# skip lines not in spans?
if not annotate and not any(i+1 in s for s, _ in spans):
skipped = True
continue
if skipped:
skipped = False
print('%s@@ %s:%d: %s @@%s' % (
'\x1b[36m' if args['color'] else '',
path,
i+1,
next(iter(f for _, f in spans)),
'\x1b[m' if args['color'] else ''))
# build line
if line.endswith('\n'):
line = line[:-1]
if i+1 in table:
r = table[i+1]
line = '%-*s // %s hits%s' % (
args['width'],
line,
r.hits,
', %s branches' % (r.branches,)
if int(r.branches.b) else '')
if args['color']:
if lines and int(r.hits) == 0:
line = '\x1b[1;31m%s\x1b[m' % line
elif branches and r.branches.a < r.branches.b:
line = '\x1b[35m%s\x1b[m' % line
print(line)
def main(gcda_paths, *,
by=None,
fields=None,
defines=[],
sort=None,
hits=False,
**args):
# figure out what color should be
if args.get('color') == 'auto':
args['color'] = sys.stdout.isatty()
elif args.get('color') == 'always':
args['color'] = True
else:
args['color'] = False
# figure out what fields we're interested in
if by is None:
if (args.get('annotate')
or args.get('lines')
or args.get('branches')
or args.get('output')
or args.get('output_json')):
by = CovResult._by
else:
by = ['function']
if fields is None:
if (args.get('annotate')
or args.get('lines')
or args.get('branches')
or args.get('output')
or args.get('output_json')):
fields = CovResult._fields
elif not hits:
fields = ['lines', 'branches']
else:
fields = ['calls', 'hits']
# find sizes
if not args.get('use', None):
# not enough info?
if not gcda_paths:
print("error: no *.gcda files?",
file=sys.stderr)
sys.exit(1)
# collect info
results = collect_cov(gcda_paths,
**args)
else:
results = read_csv(args['use'], CovResult,
**args)
# fold
results = fold(CovResult, results,
by=by,
defines=defines)
# find previous results?
diff_results = None
if args.get('diff'):
try:
diff_results = read_csv(
args.get('diff'),
CovResult,
**args)
except FileNotFoundError:
diff_results = []
# fold
diff_results = fold(CovResult, diff_results,
by=by,
defines=defines)
# annotate sources
if (args.get('annotate')
or args.get('lines')
or args.get('branches')):
annotate(CovResult, results, **args)
# write results to JSON
elif args.get('output_json'):
write_csv(args['output_json'], CovResult, results, json=True,
by=by,
fields=fields,
**args)
# write results to CSV
elif args.get('output'):
write_csv(args['output'], CovResult, results,
by=by,
fields=fields,
**args)
# print table
elif not args.get('quiet'):
table(CovResult, results, diff_results,
by=by,
fields=fields,
sort=sort,
**args)
# catch lack of coverage
if args.get('error_on_lines') and any(
r.lines.a < r.lines.b for r in results):
sys.exit(2)
elif args.get('error_on_branches') and any(
r.branches.a < r.branches.b for r in results):
sys.exit(3)
if __name__ == "__main__":
import argparse
import sys
parser = argparse.ArgumentParser(
description="Find coverage info after running tests.",
allow_abbrev=False)
parser.add_argument(
'gcda_paths',
nargs='*',
help="Input *.gcda files.")
parser.add_argument(
'-v', '--verbose',
action='store_true',
help="Output commands that run behind the scenes.")
parser.add_argument(
'-q', '--quiet',
action='store_true',
help="Don't show anything, useful when checking for errors.")
parser.add_argument(
'-o', '--output',
help="Specify CSV file to store results.")
parser.add_argument(
'-O', '--output-json',
help="Specify JSON file to store results. This may contain "
"recursive info.")
parser.add_argument(
'-u', '--use',
help="Don't parse anything, use this CSV/JSON file.")
parser.add_argument(
'-d', '--diff',
help="Specify CSV/JSON file to diff against.")
parser.add_argument(
'-p', '--percent',
action='store_true',
help="Only show percentage change, not a full diff.")
parser.add_argument(
'-c', '--compare',
type=lambda x: tuple(v.strip() for v in x.split(',')),
help="Compare results to the row matching this by pattern.")
parser.add_argument(
'-a', '--all',
action='store_true',
help="Show all, not just the ones that changed.")
parser.add_argument(
'-b', '--by',
action='append',
choices=CovResult._by,
help="Group by this field.")
parser.add_argument(
'-f', '--field',
dest='fields',
action='append',
choices=CovResult._fields,
help="Show this field.")
parser.add_argument(
'-D', '--define',
dest='defines',
action='append',
type=lambda x: (
lambda k, vs: (
k.strip(),
{v.strip() for v in vs.split(',')})
)(*x.split('=', 1)),
help="Only include results where this field is this value.")
class AppendSort(argparse.Action):
def __call__(self, parser, namespace, value, option):
if namespace.sort is None:
namespace.sort = []
namespace.sort.append((value, option in {'-S', '--reverse-sort'}))
parser.add_argument(
'-s', '--sort',
nargs='?',
action=AppendSort,
help="Sort by this field.")
parser.add_argument(
'-S', '--reverse-sort',
nargs='?',
action=AppendSort,
help="Sort by this field, but backwards.")
parser.add_argument(
'--no-header',
action='store_true',
help="Don't show the header.")
parser.add_argument(
'--small-header',
action='store_true',
help="Don't show by field names.")
parser.add_argument(
'--no-total',
action='store_true',
help="Don't show the total.")
parser.add_argument(
'-Q', '--small-table',
action='store_true',
help="Equivalent to --small-header + --no-total.")
parser.add_argument(
'-Y', '--summary',
action='store_true',
help="Only show the total.")
parser.add_argument(
'--prefix',
help="Prefix to use for fields in CSV/JSON output. Defaults "
"to %r." % ("%s_" % CovResult._prefix))
parser.add_argument(
'-F', '--source',
dest='sources',
action='append',
help="Only consider definitions in this file. Defaults to "
"anything in the current directory.")
parser.add_argument(
'-!', '--everything',
action='store_true',
help="Include builtin and libc specific symbols.")
parser.add_argument(
'--hits',
action='store_true',
help="Show total hits instead of coverage.")
parser.add_argument(
'-A', '--annotate',
action='store_true',
help="Show source files annotated with coverage info.")
parser.add_argument(
'-L', '--lines',
action='store_true',
help="Show uncovered lines.")
parser.add_argument(
'-B', '--branches',
action='store_true',
help="Show uncovered branches.")
parser.add_argument(
'-C', '--context',
type=lambda x: int(x, 0),
default=3,
help="Show n additional lines of context. Defaults to 3.")
parser.add_argument(
'-W', '--width',
type=lambda x: int(x, 0),
default=80,
help="Assume source is styled with this many columns. Defaults "
"to 80.")
parser.add_argument(
'--color',
choices=['never', 'always', 'auto'],
default='auto',
help="When to use terminal colors. Defaults to 'auto'.")
parser.add_argument(
'-e', '--error-on-lines',
action='store_true',
help="Error if any lines are not covered.")
parser.add_argument(
'-E', '--error-on-branches',
action='store_true',
help="Error if any branches are not covered.")
parser.add_argument(
'--gcov-path',
default=GCOV_PATH,
type=lambda x: x.split(),
help="Path to the gcov executable, may include paths. "
"Defaults to %r." % GCOV_PATH)
sys.exit(main(**{k: v
for k, v in vars(parser.parse_intermixed_args()).items()
if v is not None}))