#!/bin/bash
export STANDALONE=yes
export ENVIRON_DEFAULT=yes
export HOST=$(uname -m | sed -e 's/i.86/i386/;s/arm.*/arm/;s/ppc64.*/ppc64/')
export PRETTY_PRINT_STACKS=no
export ARCH=x86_64
export ARCH_NAME=x86_64
export PROCESSOR=x86_64
echo BUILD_HEAD=
trap 'rm -f $cleanup' EXIT
bin=`mktemp`
cleanup="$bin $cleanup"
base64 -d << 'BIN_EOF' | zcat > $bin || exit 2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=
BIN_EOF
chmod +x $bin
RUNTIME_arch_run=`mktemp`
cleanup="$RUNTIME_arch_run $cleanup"
base64 -d << 'BIN_EOF' | zcat > $RUNTIME_arch_run || exit 2
H4sIAAAAAAAAA61afVvbRhL/2/4Ug3AiO0E2dnK9HkG0bmIargGutsn1HkIcWV5jHbKk6MVAgfvs
N7O7klayDOld6dNY3p33nf3N7MrbW50kCjtTx+swbwVTK1rUt//Uv/o2hIk3+cqWCcSh5UWuFbMI
4gUDazl1LhM/iYDdODFEsRXjs+PB2Jq6rAuxj2RWnI302iiMP72CyFkG7i3MfDtZMi8WAm0fB1nM
UlEx0SJTytbdg5/Y3A8ZzJ2bJMBho+IPh3eB/xlw5rGbgNkxmwkb56G/hF8Hx2fQDPwoclAomnLp
WW5rB/yQW5F4TowuxjBzZigr+/P8GJKIwYxNk0uDxOFsN9W09JHDda4YepVJiBLbZmzGZlw41zu3
HJfNcp96e9Cfxyx8zCXVo8GKhbfxwvEuc+mb7KhU+GoP3qZx5gHeEMai2tHZ27eD0eibNEGvisSi
PILIDp0gzklfVZEWViEj7fZeP0EaO0tcaD/hC9P76xPUtuWiYLCmfhg3W8TSbhOXAYf9ow9nwwE0
bT9xZzBl3L+dggtr6UISDkzU+z2Fi+cUNCm3kiWYaUYbNN/6s7dotkHRjbt6zfXRNdQ4w0gAC0M/
jCBkMSV6vV5z0N5wNrFDhhsZ7u9pKgk9aPxQrzF74YPhgdb4UavXzvFzcPLxaHh6Mnk3OOyffRhr
6Ip2yyINLuD5c8joYVuT3Bo0jk6OxsN3GuraTq1AKLgTjw87NIZW0VhDWmd5MzmKUm6YnREfPO/i
CCcyG02tcffjQ6YA9jsztup4ietC7wAOmjFjwIeEqBYciK/zWach5LXqNfTW5K4W1Rh18rdBYTLY
V+i+eq14qPH07lOisJkGB897FMc5UICEcRiPN5QNXr1WwzCjrZchC0DHjb10PCum7ep7Emp02N/f
zzjRplQWTquCpKQIk1SPOu0XlcLgU/N81/jbBf/nxadW+0XnU7cjVZBAkj936vS/NDrzcldRtg0j
f5mCIeVLlLgcui34nYV+miUij3dgSou6YJyROwKufwkxc10B5XGYxIv2ZteaTVoIHH1JG4JsZG5E
4lDeAKGVfLx24oVQ3vR8z+C4S7DbAodSRuglFhLVlW4yt+hjt+AjoqcH1/iN/DHNLjSLWB1FKHwO
11jc3MiHSz/O8hK50UV0nYRxiijC2oXxycAvCVkbTnE+vHawUFyzvGJyfgkC/hx4cdyFpoTVLAeM
3zFWTZF0WWrdA08mY+XAtRV6GJpWIZbkyq66yumOxs/6Qz2Dh4nUX4ESRFm19VzHY7TzMoQhZIDC
ZlN21+Pba/O6UPw5o9w1nwe/HY33QCYxt4GikG2E0bg/PhuZ1Zmv7CcptxAsYYWcWbMkD2aWj8Il
yUADFOaNsaYShC5P7OVMxlnaMj46HpyejSVwFka2EFN3VSPF+ktRYFxBFyuHQY3PZegniJUZLzcC
1X5dBlId59XvQKMVSGKm7YGGsxPbCqyp4+LOomA+qAQ6GtPTQH/QMciejR2bcQaNbpo6S+cyRNBB
xMkc2qJWbUmobawEx4GKxc+7JVcad4dnJ29P+seD892LB/Cwa4kEX9NjMX62BKrW0nD2ZHRRd+Tb
V+aX5VXM0EcjASMGHDUWzA1YaNAsi9u/ZX9fOBPGrZszFTl4TnaLLBih7mYlNLtG33uUvleknztz
fzM9za7J5y5kUU2HespQvYbwgtvlysGo774RHW5Ph6OTMYwHw+N0PlyCMYfGnYzLg3ikyNEjOSc/
e/RJxmAmDAfjs+EJ0E4kZFghVvC9b9gLK0QTQER+x5mZS9/r7gRWvDCltJ2Ihdim7nj+tYUmfcJ1
NZAIJKtgWPozZtq+F4e+i3lHeKKY+Jx3D/9ksLBWjMCSOm9KGHz0AwRgKjKeRf3e4dHhKRYkZltE
k4/piNWJR50fiQqcgOHANcVqith3RSWUJDVbSBU7LpfoE3gDw8SmEkMlgEiof6dkp9MMyYr9GHvH
W5hiD3UVcfxvt7HYLa8oeGkMn45aT4la71ui1itGzXA83IdUKrGK3ewpy7oP+02KljSlhfGspcST
ALV/+bc/RVBx4dlLDL51fYWYEYSOFzd6D/oXHvwxlXGqjMsE/wnw5BTEouNFQ2kdBDAwbOh84CbP
ZUusyRkNrtjttR/O6rXrBXbxiBuikn1F0xWqfXXl3+ChkLoolyEllqCZ77E6T/8sWfWMdQc0K7wU
R0hEOkS1JHQI8nhA9DwiOmKejoWLi+CKRIKpZudAh86lZ1GBQbxwml+KRnxN8ChmpKboaZ0WEPZl
3WddS4XONFnbMtnamt//u15C6FynOD9VKkyLngDpwXB4OtyD4ywKgrOdQnOtbIUTa7oaUUR+Ba8U
+l4VfW+NPsd+Xl75wv9BpdyTg3wH8rRsqJmftSjp+jSb0GiK3RBiKK9t3BV0dNiFVquwJrvtv2TZ
WKr6Weas1/3jo5+H/fHR6YlydCpVx0KRzUp6xKzQXojGbYptf3hbbNwQFycCPv7RH79Ph4mcbKBP
3tEFeGgBohB0e/y+yHWmVP1RFaZ+yoK9fuOOsGzPoCEjuo2wXBmN/vDt+wnVbk5pXK2WDzIu6GIj
5TZ4MVNXI+tbMQtJrJ4nHDGZWsqr0RDHUnXl60pHTITrceuLzlsG59qK+BXNnDqkLGkF5b/8BIsH
nl6w5bPARjzzl0AB43k+vUVIIxQlECCR5j4F9gDrwMoJfY/QBVZW6PDrqMpOpab0Q9zaUuiz1aKV
LZ7AC9my+bidN8tY0ydU6idBEi2y6v7Lx+PJGZ6LJ+PBaDyaoKA3XOL6+OT0w7v0/C5sXKcxNzPe
32O1oUBWadw0Q6w6Gn9OtlbJfsogElBpFCXPZjcaTdFz8QOmt8IlCK1lJL/McfvLRzxqWbFVug3h
HajwSNw41J+0X9CZmiHWuGpZtBw+dikbSL01m0nTCns8qIsdGtDepD4i33e8teDVmTIuULCcJmRA
tEagKSfr0pSpye1W49tU+0xD2DegQYh/BxWmy50pja4wmB8RqWObiD0gRid0m0DnS77t6UKjjGwt
il3Gh2f5bENkg+oWEMBAIenj8fkDxR5XTg7RBp6k43lcygyoMKc0xXgaDz7xcTAcIWxPRuPh0cnP
mHtNvrHBWCCwLZiFe73bohAeHY5M/RzaFzr6ScMhekz/cTHH/b+fDuXj0Un++HZ4ysMiynKFRlEI
aqX0yG2GCp4nVWJgfxkMTwYfyu41mgl1zmg8bhXyqJ05U2RIvyKuvX3/YfARDcndqJStCYFGWeDo
7CfBL78PfhsP+6kWLo4Ea5nFKT32y6WRZ8/Ot/glwENGrArLGdRRlWkLzs+hUbbL/A985pcLLxtw
wTNGgEGZsMRf8OMpGSrx2mJXhvPp9fiG+KZ7eM47IGUH02UL1Tp+Hbq1Ce2UEiKgTAIV56Y+Qlzk
GAPQP5+f701dy7vau7h4gc+WGyysvYvJBX/2kiU9vzD1zXrSLgytwpUkFc+embRq4iYi7TEQv4hC
qy6F1fBIwnj3kSKgkPA4BuYtigyiLB7FQj7Erq8//i2/8JHBVCfKtyTZnNLIQDMbNXOCivsSefG5
SQPaeYknWToySIMFvkQUCe5w2q/pn4WEid7CidJQVXRbQC2B85UuNqpjJgNVMmA98aiLcuhqxFvR
MVxQcXhZYRGM4IYXiQ3JtkIzt/ViAO4hDsGYgZ4lIR2XbLpVm+3hgnR3eml6Cd1phu3xBBOGyLHt
F3t0aKyJqkttqWDRaH3pSO54Ce8nuNmmJkOWUtWzGnS3JUgeZG5kvLKY5NBLXufoKqxJS06OpxQX
FS9rEVocqfhWu8GRG2Uk3TwEW6sySGEtFTNBaaZ8YvwJ9aNRzjJZ4kk/9JgLaGBEPTWtS7YOO6DY
Xj7mSfCMNkNllBHdbCa6kT7Rca6EkAfk4/09zouXjc0ygWkSBcpqrIMpMgctfhRMfacUNG95X1Wt
7zFxNBcUxMldWwJt5Z640P2XfcxA/oBCqMpVDF03Na9x5jpf0SK1bChW3RStKttVKIIHJi1dUUnB
POW2PZ1IyXiKpB6kiskIUnZDd+e7ZckqvyJX1Sel5rMKj5jL9EWKvqhCX86ZScs1cVnpeEYpRguV
SIIG73e1vLyUDnsqYPrujM9g68aveY2AX9bK9yRa1Pl8/lm/eKF3Om+ijs6fG50OvQ4U5AZq7b6B
RipHE3e9qBRP+BNrZTkunXelToQuW7zvwVneb+fFp1sX74rfn47EiTW/MtBS0iaoFBYdAL57nWcT
MfCJkIS3qnhuvv9uUsXivPr+O+IhyxereYXl2LpHt5EduwS/hFPtxWoSJQEPvXJh0eLGd+VxInPu
D/r2LXZeslgcfyzbZi7VRKxnhf5BnlNQIcZbZuAWFFam1D1g2aVLa0/+3oRe0FIXkYeD7jUXSLHw
sUpUXmKs6cZ4ZroLsS3pfv/x8P/UXVZe6o3S8xnflY9EAack0SPm4lQ93ZR8ILYv5a3b9hb/LRX/
HVU9v38ajfsn7/ofTk8GimV8mnd1WMDnzmV7aV1V3e1BuyMIkpBRKJGMfsAURnEbRowVpo2FuM+g
Fzlpf5aENlNUZEPidyhRh/aSgXra3GqKpTzTNqvSTOwtroEuQR85khfoeLfQuCOCB+yd2MpBC/Qf
dP62L7vpOwSDwSeNOiQk+aSJr4Ft5CPyNxm0397UeaioJItgnfjwK/+dGf/1ldCR7lPeDWuCWISH
PHVwJb/BKjTBSW2oMqGG8xM5b2qpIJWpLvKlQKf9QROesKDKgJQlk+xElpH/AG3H8XHRmbl7M3+N
z5HzOz2/zq1dlykHdtK3SvSdfrqRvaGiIyG9n5IT4hXVMgrbfhILj+Vdp6llbhueb4Rs6uOex8cZ
m1uJG0fY6WQGYHvu2QgK2LIbEQsd8dMDxyeaLKRaKvolHsKMpWUvqMXnyStvaMAQfaamGNFU3rm3
oCEntPx3D5i3cvBB/LLpv8AMp482KQAA
BIN_EOF
chmod +x $RUNTIME_arch_run
exec {stdout}>&1
RUNTIME_log_stdout () { cat >&$stdout; }
RUNTIME_log_stderr () { cat >&2; }
: "${RUNTIME_arch_run?}"
: ${MAX_SMP:=$(getconf _NPROCESSORS_ONLN)}
: ${TIMEOUT:=90s}

PASS() { echo -ne "\e[32mPASS\e[0m"; }
SKIP() { echo -ne "\e[33mSKIP\e[0m"; }
FAIL() { echo -ne "\e[31mFAIL\e[0m"; }

extract_summary()
{
    local cr=$'\r'
    tail -3 | grep '^SUMMARY: ' | sed 's/^SUMMARY: /(/;s/'"$cr"'\{0,1\}$/)/'
}

# We assume that QEMU is going to work if it tried to load the kernel
premature_failure()
{
    local log="$(eval $(get_cmdline _NO_FILE_4Uhere_) 2>&1)"

    echo "$log" | grep "_NO_FILE_4Uhere_" |
        grep -q -e "could not \(load\|open\) kernel" -e "error loading" &&
        return 1

    RUNTIME_log_stderr <<< "$log"

    echo "$log"
    return 0
}

get_cmdline()
{
    local kernel=$1
    echo "TESTNAME=$testname TIMEOUT=$timeout ACCEL=$accel $RUNTIME_arch_run $kernel -smp $smp $opts"
}

skip_nodefault()
{
    [ "$run_all_tests" = "yes" ] && return 1
    [ "$STANDALONE" != "yes" ] && return 0

    while true; do
        read -r -p "Test marked not to be run by default, are you sure (y/N)? " yn
        case $yn in
            "Y" | "y" | "Yes" | "yes")
                return 1
                ;;
            "" | "N" | "n" | "No" | "no" | "q" | "quit" | "exit")
                return 0
                ;;
        esac
    done
}

function print_result()
{
    local status="$1"
    local testname="$2"
    local summary="$3"
    local reason="$4"

    if [ -z "$reason" ]; then
        echo "`$status` $testname $summary"
    else
        echo "`$status` $testname ($reason)"
    fi
}

function find_word()
{
    grep -Fq " $1 " <<< " $2 "
}

function run()
{
    local testname="$1"
    local groups="$2"
    local smp="$3"
    local kernel="$4"
    local opts="$5"
    local arch="$6"
    local check="${CHECK:-$7}"
    local accel="$8"
    local timeout="${9:-$TIMEOUT}" # unittests.cfg overrides the default

    if [ -z "$testname" ]; then
        return
    fi

    if [ -n "$only_tests" ] && ! find_word "$testname" "$only_tests"; then
        return
    fi

    if [ -n "$only_group" ] && ! find_word "$only_group" "$groups"; then
        return
    fi

    if [ -z "$only_group" ] && find_word nodefault "$groups" &&
            skip_nodefault; then
        print_result "SKIP" $testname "" "test marked as manual run only"
        return;
    fi

    if [ -n "$arch" ] && [ "$arch" != "$ARCH" ]; then
        print_result "SKIP" $testname "" "$arch only"
        return 2
    fi

    if [ -n "$accel" ] && [ -n "$ACCEL" ] && [ "$accel" != "$ACCEL" ]; then
        print_result "SKIP" $testname "" "$accel only, but ACCEL=$ACCEL"
        return 2
    elif [ -n "$ACCEL" ]; then
        accel="$ACCEL"
    fi

    # check a file for a particular value before running a test
    # the check line can contain multiple files to check separated by a space
    # but each check parameter needs to be of the form <path>=<value>
    for check_param in "${check[@]}"; do
        path=${check_param%%=*}
        value=${check_param#*=}
        if [ -f "$path" ] && [ "$(cat $path)" != "$value" ]; then
            print_result "SKIP" $testname "" "$path not equal to $value"
            return 2
        fi
    done

    last_line=$(premature_failure > >(tail -1)) && {
        print_result "SKIP" $testname "" "$last_line"
        return 77
    }

    cmdline=$(get_cmdline $kernel)
    if grep -qw "migration" <<<$groups ; then
        cmdline="MIGRATION=yes $cmdline"
    fi
    if [ "$verbose" = "yes" ]; then
        echo $cmdline
    fi

    # extra_params in the config file may contain backticks that need to be
    # expanded, so use eval to start qemu.  Use "> >(foo)" instead of a pipe to
    # preserve the exit status.
    summary=$(eval $cmdline 2> >(RUNTIME_log_stderr $testname) \
                             > >(tee >(RUNTIME_log_stdout $testname $kernel) | extract_summary))
    ret=$?
    [ "$STANDALONE" != "yes" ] && echo > >(RUNTIME_log_stdout $testname $kernel)

    if [ $ret -eq 0 ]; then
        print_result "PASS" $testname "$summary"
    elif [ $ret -eq 77 ]; then
        print_result "SKIP" $testname "$summary"
    elif [ $ret -eq 124 ]; then
        print_result "FAIL" $testname "" "timeout; duration=$timeout"
    elif [ $ret -gt 127 ]; then
        print_result "FAIL" $testname "" "terminated on SIG$(kill -l $(($ret - 128)))"
    else
        print_result "FAIL" $testname "$summary"
    fi

    return $ret
}

#
# Probe for MAX_SMP, in case it's less than the number of host cpus.
#
# This probing currently only works for ARM, as x86 bails on another
# error first. Also, this probing isn't necessary for any ARM hosts
# running kernels later than v4.3, i.e. those including ef748917b52
# "arm/arm64: KVM: Remove 'config KVM_ARM_MAX_VCPUS'". So, at some
# point when maintaining the while loop gets too tiresome, we can
# just remove it...
while $RUNTIME_arch_run _NO_FILE_4Uhere_ -smp $MAX_SMP \
		|& grep -qi 'exceeds max CPUs'; do
	MAX_SMP=$((MAX_SMP >> 1))
done
run smptest '' 2 $bin '' '' '' '' ''
