2015-06-02 01:43:29 +08:00
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#!/usr/bin/python
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2022-01-02 02:54:23 +08:00
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# Copyright (C) 2015-2022 Free Software Foundation, Inc.
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2015-06-02 01:43:29 +08:00
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# This file is part of the GNU C Library.
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#
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# The GNU C Library is free software; you can redistribute it and/or
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# modify it under the terms of the GNU Lesser General Public
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# License as published by the Free Software Foundation; either
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# version 2.1 of the License, or (at your option) any later version.
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#
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# The GNU C Library is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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# Lesser General Public License for more details.
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#
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# You should have received a copy of the GNU Lesser General Public
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# License along with the GNU C Library; if not, see
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Prefer https to http for gnu.org and fsf.org URLs
Also, change sources.redhat.com to sourceware.org.
This patch was automatically generated by running the following shell
script, which uses GNU sed, and which avoids modifying files imported
from upstream:
sed -ri '
s,(http|ftp)(://(.*\.)?(gnu|fsf|sourceware)\.org($|[^.]|\.[^a-z])),https\2,g
s,(http|ftp)(://(.*\.)?)sources\.redhat\.com($|[^.]|\.[^a-z]),https\2sourceware.org\4,g
' \
$(find $(git ls-files) -prune -type f \
! -name '*.po' \
! -name 'ChangeLog*' \
! -path COPYING ! -path COPYING.LIB \
! -path manual/fdl-1.3.texi ! -path manual/lgpl-2.1.texi \
! -path manual/texinfo.tex ! -path scripts/config.guess \
! -path scripts/config.sub ! -path scripts/install-sh \
! -path scripts/mkinstalldirs ! -path scripts/move-if-change \
! -path INSTALL ! -path locale/programs/charmap-kw.h \
! -path po/libc.pot ! -path sysdeps/gnu/errlist.c \
! '(' -name configure \
-execdir test -f configure.ac -o -f configure.in ';' ')' \
! '(' -name preconfigure \
-execdir test -f preconfigure.ac ';' ')' \
-print)
and then by running 'make dist-prepare' to regenerate files built
from the altered files, and then executing the following to cleanup:
chmod a+x sysdeps/unix/sysv/linux/riscv/configure
# Omit irrelevant whitespace and comment-only changes,
# perhaps from a slightly-different Autoconf version.
git checkout -f \
sysdeps/csky/configure \
sysdeps/hppa/configure \
sysdeps/riscv/configure \
sysdeps/unix/sysv/linux/csky/configure
# Omit changes that caused a pre-commit check to fail like this:
# remote: *** error: sysdeps/powerpc/powerpc64/ppc-mcount.S: trailing lines
git checkout -f \
sysdeps/powerpc/powerpc64/ppc-mcount.S \
sysdeps/unix/sysv/linux/s390/s390-64/syscall.S
# Omit change that caused a pre-commit check to fail like this:
# remote: *** error: sysdeps/sparc/sparc64/multiarch/memcpy-ultra3.S: last line does not end in newline
git checkout -f sysdeps/sparc/sparc64/multiarch/memcpy-ultra3.S
2019-09-07 13:40:42 +08:00
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# <https://www.gnu.org/licenses/>.
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2015-06-02 01:43:29 +08:00
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"""Functions to import benchmark data and process it"""
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import json
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try:
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import jsonschema as validator
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except ImportError:
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print('Could not find jsonschema module.')
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raise
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2015-06-02 01:44:11 +08:00
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def mean(lst):
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"""Compute and return mean of numbers in a list
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The numpy average function has horrible performance, so implement our
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own mean function.
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Args:
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lst: The list of numbers to average.
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Return:
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The mean of members in the list.
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"""
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return sum(lst) / len(lst)
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def split_list(bench, func, var):
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""" Split the list into a smaller set of more distinct points
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Group together points such that the difference between the smallest
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point and the mean is less than 1/3rd of the mean. This means that
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the mean is at most 1.5x the smallest member of that group.
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mean - xmin < mean / 3
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i.e. 2 * mean / 3 < xmin
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i.e. mean < 3 * xmin / 2
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For an evenly distributed group, the largest member will be less than
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twice the smallest member of the group.
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Derivation:
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An evenly distributed series would be xmin, xmin + d, xmin + 2d...
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mean = (2 * n * xmin + n * (n - 1) * d) / 2 * n
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and max element is xmin + (n - 1) * d
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Now, mean < 3 * xmin / 2
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3 * xmin > 2 * mean
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3 * xmin > (2 * n * xmin + n * (n - 1) * d) / n
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3 * n * xmin > 2 * n * xmin + n * (n - 1) * d
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n * xmin > n * (n - 1) * d
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xmin > (n - 1) * d
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2 * xmin > xmin + (n-1) * d
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2 * xmin > xmax
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Hence, proved.
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Similarly, it is trivial to prove that for a similar aggregation by using
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the maximum element, the maximum element in the group must be at most 4/3
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times the mean.
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Args:
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bench: The benchmark object
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func: The function name
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var: The function variant name
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"""
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means = []
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lst = bench['functions'][func][var]['timings']
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last = len(lst) - 1
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while lst:
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for i in range(last + 1):
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avg = mean(lst[i:])
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if avg > 0.75 * lst[last]:
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means.insert(0, avg)
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lst = lst[:i]
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last = i - 1
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break
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bench['functions'][func][var]['timings'] = means
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def do_for_all_timings(bench, callback):
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"""Call a function for all timing objects for each function and its
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variants.
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Args:
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bench: The benchmark object
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callback: The callback function
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"""
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for func in bench['functions'].keys():
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for k in bench['functions'][func].keys():
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if 'timings' not in bench['functions'][func][k].keys():
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continue
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callback(bench, func, k)
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def compress_timings(points):
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"""Club points with close enough values into a single mean value
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See split_list for details on how the clubbing is done.
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Args:
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points: The set of points.
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"""
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do_for_all_timings(points, split_list)
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2015-06-02 01:43:29 +08:00
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def parse_bench(filename, schema_filename):
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"""Parse the input file
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Parse and validate the json file containing the benchmark outputs. Return
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the resulting object.
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Args:
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filename: Name of the benchmark output file.
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Return:
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The bench dictionary.
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"""
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with open(schema_filename, 'r') as schemafile:
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schema = json.load(schemafile)
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with open(filename, 'r') as benchfile:
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bench = json.load(benchfile)
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validator.validate(bench, schema)
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return bench
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