f48c08f0f5
Currently, if there is a circular dependency in the packages, the
graph-depends script just errors out with a Python RuntimeError which is
not caught, resulting in a very-long backtrace which does not provide
any hint as what the real issue is (even if "RuntimeError: maximum
recursion depth exceeded" is a pretty good hint at it).
We fix that by recursing the dependency chain of each package, until we
either end up with a package with no dependency, or with a package
already seen along the current dependency chain.
We need to introduce a new function, check_circular_deps(), because we
can't re-use the existing ones:
- remove_mandatory_deps() does not iterate,
- remove_transitive_deps() does iterate, but we do not call it for the
top-level package if it is not 'all'
- it does not make sense to use those functions anyway, as they were
not designed to _check_ but to _act_ on the dependency chain.
Since we've had time-related issues in the past, we do not want to
introduce yet another time-hog, so here are timings with the circular
dependency check:
$ time python -m cProfile -s cumtime support/scripts/graph-depends
[...]
28352654 function calls (20323050 primitive calls) in 87.292 seconds
Ordered by: cumulative time
ncalls tottime percall cumtime percall filename:lineno(function)
1 0.012 0.012 87.292 87.292 graph-depends:24(<module>)
21 0.000 0.000 73.685 3.509 subprocess.py:473(_eintr_retry_call)
7 0.000 0.000 73.655 10.522 subprocess.py:768(communicate)
7 73.653 10.522 73.653 10.522 {method 'read' of 'file' objects}
5/1 0.027 0.005 43.488 43.488 graph-depends:164(get_all_depends)
5 0.003 0.001 43.458 8.692 graph-depends:135(get_depends)
1 0.001 0.001 25.712 25.712 graph-depends:98(get_version)
1 0.001 0.001 13.457 13.457 graph-depends:337(remove_extra_deps)
1717 1.672 0.001 13.050 0.008 graph-depends:290(remove_transitive_deps)
9784086/2672326 5.079 0.000 11.363 0.000 graph-depends:274(is_dep)
2883343/1980154 2.650 0.000 6.942 0.000 graph-depends:262(is_dep_uncached)
1 0.000 0.000 4.529 4.529 graph-depends:121(get_targets)
2883343 1.123 0.000 1.851 0.000 graph-depends:246(is_dep_cache_insert)
9784086 1.783 0.000 1.783 0.000 graph-depends:255(is_dep_cache_lookup)
2881580 0.728 0.000 0.728 0.000 {method 'update' of 'dict' objects}
1 0.001 0.001 0.405 0.405 graph-depends:311(check_circular_deps)
12264/1717 0.290 0.000 0.404 0.000 graph-depends:312(recurse)
[...]
real 1m27.371s
user 1m15.075s
sys 0m12.673s
The cumulative time spent in check_circular_deps is just below 0.5s,
which is largely less than 1% of the total run time.
Signed-off-by: "Yann E. MORIN" <yann.morin.1998@free.fr>
Cc: Thomas Petazzoni <thomas.petazzoni@free-electrons.com>
Cc: Samuel Martin <s.martin49@gmail.com>
Signed-off-by: Thomas Petazzoni <thomas.petazzoni@free-electrons.com>
|
||
|---|---|---|
| .. | ||
| apply-patches.sh | ||
| check-host-rpath | ||
| check-kernel-headers.sh | ||
| eclipse-register-toolchain | ||
| expunge-gconv-modules | ||
| gen-manual-lists.py | ||
| graph-build-time | ||
| graph-depends | ||
| kconfiglib.py | ||
| mkmakefile | ||
| mkusers | ||
| pkg-stats | ||
| readme.kconfiglib | ||
| scancpan | ||
| setlocalversion | ||
| size-stats | ||
| size-stats-compare | ||
| xorg-release | ||
Readme ====== Kconfiglib ---------- This python module, developped by Ulf Magnusson and released under the ISC license, is fetched from: https://github.com/ulfalizer/Kconfiglib commit: a95f477eafc0b6708c3ce671fce7302ecec4f789 Kconfiglib license ~~~~~~~~~~~~~~~~~~ License (ISC) Copyright (c) 2011-2013, Ulf Magnusson <ulfalizer@gmail.com> Permission to use, copy, modify, and/or distribute this software for any purpose with or without fee is hereby granted, provided that the above copyright notice and this permission notice appear in all copies. THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.