def test_cast_primitive(self):
def llf(u):
return lltype.cast_primitive(lltype.Signed, u)
res = self.interpret(llf, [r_uint(-1)],
policy=LowLevelAnnotatorPolicy())
assert res == -1
res = self.interpret(llf, ['x'], policy=LowLevelAnnotatorPolicy())
assert res == ord('x')
def llf(v):
return lltype.cast_primitive(lltype.Unsigned, v)
res = self.interpret(llf, [-1], policy=LowLevelAnnotatorPolicy())
assert res == r_uint(-1)
res = self.interpret(llf, [u'x'], policy=LowLevelAnnotatorPolicy())
assert res == ord(u'x')
res = self.interpret(llf, [1.0], policy=LowLevelAnnotatorPolicy())
assert res == r_uint(1)
def llf(v):
return lltype.cast_primitive(lltype.Char, v)
res = self.interpret(llf, [ord('x')], policy=LowLevelAnnotatorPolicy())
assert res == 'x'
def llf(v):
return lltype.cast_primitive(lltype.UniChar, v)
res = self.interpret(llf, [ord('x')], policy=LowLevelAnnotatorPolicy())
assert res == u'x'
def llf(v):
return lltype.cast_primitive(rffi.SHORT, v)
res = self.interpret(llf, [123], policy=LowLevelAnnotatorPolicy())
assert res == 123
def llf(v):
return lltype.cast_primitive(lltype.Signed, v)
res = self.interpret(llf, [rffi.r_short(123)],
policy=LowLevelAnnotatorPolicy())
assert res == 123
def llf(v):
return lltype.cast_primitive(lltype.Bool, v)
res = self.interpret(llf, [2**24], policy=LowLevelAnnotatorPolicy())
assert res == True
def llf(v):
return lltype.cast_primitive(lltype.Bool, v)
res = self.interpret(llf, [rffi.r_longlong(2**48)],
policy=LowLevelAnnotatorPolicy())
assert res == True
def test_cast_primitive(self):
def llf(u):
return lltype.cast_primitive(lltype.Signed, u)
res = self.interpret(llf, [r_uint(-1)], policy=LowLevelAnnotatorPolicy())
assert res == -1
res = self.interpret(llf, ['x'], policy=LowLevelAnnotatorPolicy())
assert res == ord('x')
def llf(v):
return lltype.cast_primitive(lltype.Unsigned, v)
res = self.interpret(llf, [-1], policy=LowLevelAnnotatorPolicy())
assert res == r_uint(-1)
res = self.interpret(llf, [u'x'], policy=LowLevelAnnotatorPolicy())
assert res == ord(u'x')
res = self.interpret(llf, [1.0], policy=LowLevelAnnotatorPolicy())
assert res == r_uint(1)
def llf(v):
return lltype.cast_primitive(lltype.Char, v)
res = self.interpret(llf, [ord('x')], policy=LowLevelAnnotatorPolicy())
assert res == 'x'
def llf(v):
return lltype.cast_primitive(lltype.UniChar, v)
res = self.interpret(llf, [ord('x')], policy=LowLevelAnnotatorPolicy())
assert res == u'x'
def llf(v):
return lltype.cast_primitive(rffi.SHORT, v)
res = self.interpret(llf, [123], policy=LowLevelAnnotatorPolicy())
assert res == 123
def llf(v):
return lltype.cast_primitive(lltype.Signed, v)
res = self.interpret(llf, [rffi.r_short(123)], policy=LowLevelAnnotatorPolicy())
assert res == 123
def llf(v):
return lltype.cast_primitive(lltype.Bool, v)
res = self.interpret(llf, [2**24], policy=LowLevelAnnotatorPolicy())
assert res == True
def llf(v):
return lltype.cast_primitive(lltype.Bool, v)
res = self.interpret(llf, [rffi.r_longlong(2**48)], policy=LowLevelAnnotatorPolicy())
assert res == True
def make_longlong(high, low):
return (rffi.r_longlong(high) << 32) + rffi.r_longlong(low)
with lltype.scoped_alloc(STATVFS_STRUCT.TO) as stresult:
arg = _as_bytes0(path)
handle_posix_error("statvfs", c_statvfs(arg, stresult))
return build_statvfs_result(stresult)
# __________________________________________________
# Helper functions for win32
if _WIN32:
from rpython.rlib.rwin32file import FILE_TIME_to_time_t_float
def make_longlong(high, low):
return (rffi.r_longlong(high) << 32) + rffi.r_longlong(low)
# Seconds between 1.1.1601 and 1.1.1970
secs_between_epochs = rffi.r_longlong(11644473600)
@specialize.arg(0)
def win32_xstat(traits, path, traverse=False):
win32traits = make_win32_traits(traits)
with lltype.scoped_alloc(win32traits.WIN32_FILE_ATTRIBUTE_DATA) as data:
res = win32traits.GetFileAttributesEx(path, win32traits.GetFileExInfoStandard, data)
if res == 0:
errcode = rwin32.GetLastError_saved()
if errcode == win32traits.ERROR_SHARING_VIOLATION:
res = win32_attributes_from_dir(win32traits, path, data)
if res == 0:
errcode = rwin32.GetLastError_saved()
raise WindowsError(errcode, "os_stat failed")
return win32_attribute_data_to_stat(win32traits, data)
def make_longlong(high, low):
return (rffi.r_longlong(high) << 32) + rffi.r_longlong(low)
def time_t_to_FILE_TIME(time, filetime):
ft = rffi.r_longlong((time + secs_between_epochs) * 10000000)
filetime.c_dwHighDateTime = rffi.r_uint(ft >> 32)
filetime.c_dwLowDateTime = rffi.r_uint(ft) # masking off high bits
save_err=rffi.RFFI_SAVE_LASTERROR)
MoveFileEx = external(
'MoveFileEx' + suffix,
[traits.CCHARP, traits.CCHARP, rwin32.DWORD],
rwin32.BOOL,
save_err=rffi.RFFI_SAVE_LASTERROR)
return Win32Traits
def make_longlong(high, low):
return (rffi.r_longlong(high) << 32) + rffi.r_longlong(low)
# Seconds between 1.1.1601 and 1.1.1970
secs_between_epochs = 11644473600.0
hns_between_epochs = rffi.r_longlong(116444736000000000) # units of 100 nsec
def FILE_TIME_to_time_t_float(filetime):
ft = make_longlong(filetime.c_dwHighDateTime, filetime.c_dwLowDateTime)
# FILETIME is in units of 100 nsec
return float(ft) * (1.0 / 10000000.0) - secs_between_epochs
def FILE_TIME_to_time_t_nsec(filetime):
"""Like the previous function, but returns a pair: (integer part
'time_t' as a r_longlong, fractional part as an int measured in
nanoseconds).
"""
ft = make_longlong(filetime.c_dwHighDateTime, filetime.c_dwLowDateTime)
ft -= hns_between_epochs
int_part = ft / 10000000
frac_part = ft - (int_part * 10000000)
def time_t_to_FILE_TIME(time, filetime):
ft = rffi.r_longlong((time + secs_between_epochs) * 10000000)
filetime.c_dwHighDateTime = rffi.r_uint(ft >> 32)
filetime.c_dwLowDateTime = rffi.r_uint(ft) # masking off high bits
MoveFileEx = external('MoveFileEx' + suffix,
[traits.CCHARP, traits.CCHARP, rwin32.DWORD],
rwin32.BOOL,
save_err=rffi.RFFI_SAVE_LASTERROR)
return Win32Traits
def make_longlong(high, low):
return (rffi.r_longlong(high) << 32) + rffi.r_longlong(low)
# Seconds between 1.1.1601 and 1.1.1970
secs_between_epochs = 11644473600.0
hns_between_epochs = rffi.r_longlong(116444736000000000) # units of 100 nsec
def FILE_TIME_to_time_t_float(filetime):
ft = make_longlong(filetime.c_dwHighDateTime, filetime.c_dwLowDateTime)
# FILETIME is in units of 100 nsec
return float(ft) * (1.0 / 10000000.0) - secs_between_epochs
def FILE_TIME_to_time_t_nsec(filetime):
"""Like the previous function, but returns a pair: (integer part
'time_t' as a r_longlong, fractional part as an int measured in
nanoseconds).
"""
ft = make_longlong(filetime.c_dwHighDateTime, filetime.c_dwLowDateTime)
ft -= hns_between_epochs
with lltype.scoped_alloc(STATVFS_STRUCT.TO) as stresult:
arg = _as_bytes0(path)
handle_posix_error('statvfs', c_statvfs(arg, stresult))
return build_statvfs_result(stresult)
#__________________________________________________
# Helper functions for win32
if _WIN32:
from rpython.rlib.rwin32file import FILE_TIME_to_time_t_float
def make_longlong(high, low):
return (rffi.r_longlong(high) << 32) + rffi.r_longlong(low)
# Seconds between 1.1.1601 and 1.1.1970
secs_between_epochs = rffi.r_longlong(11644473600)
@specialize.arg(0)
def win32_xstat(traits, path, traverse=False):
win32traits = make_win32_traits(traits)
with lltype.scoped_alloc(
win32traits.WIN32_FILE_ATTRIBUTE_DATA) as data:
res = win32traits.GetFileAttributesEx(
path, win32traits.GetFileExInfoStandard, data)
if res == 0:
errcode = rwin32.GetLastError_saved()
if errcode == win32traits.ERROR_SHARING_VIOLATION:
res = win32_attributes_from_dir(win32traits, path, data)
if res == 0:
errcode = rwin32.GetLastError_saved()
raise WindowsError(errcode, "os_stat failed")
def rand_list_of(n):
# 32 extend to 64-bit integers (to avoid overflow in summation
from random import randrange, setstate
init_state = (
3, (2147483648L, 3430835514L, 2928424416L, 3147699060L, 2823572732L,
2905216632L, 1887281517L, 14272356L, 1356039141L, 2741361235L,
1824725388L, 2228169284L, 2679861265L, 3150239284L, 657657570L,
1407124159L, 517316568L, 653526369L, 139268705L, 3784719953L,
2212355490L, 3452491289L, 1232629882L, 1791207424L, 2898278956L,
1147783320L, 1824413680L, 1993303973L, 2568444883L, 4228847642L,
4163974668L, 385627078L, 3663560714L, 320542554L, 1565882322L,
3416481154L, 4219229298L, 315071254L, 778331393L, 3961037651L,
2951403614L, 3355970261L, 102946340L, 2509883952L, 215897963L,
3361072826L, 689991350L, 3348092598L, 1763608447L, 2140226443L,
3813151178L, 2619956936L, 51244592L, 2130725065L, 3867113849L,
1980820881L, 2600246771L, 3207535572L, 257556968L, 2223367443L,
3706150033L, 1711074250L, 4252385224L, 3197142331L, 4139558716L,
748471849L, 2281163369L, 2596250092L, 2804492653L, 484240110L,
3726117536L, 2483815933L, 2173995598L, 3765136999L, 3178931194L,
1237068319L, 3427263384L, 3958412830L, 2268556676L, 360704423L,
4113430429L, 3758882140L, 3743971788L, 1685454939L, 488386L,
3511218911L, 3020688912L, 2168345327L, 3149651862L, 1472484695L,
2011779229L, 1112533726L, 1873931730L, 2196153055L, 3806225492L,
1515074892L, 251489714L, 1958141723L, 2081062631L, 3703490262L,
3211541213L, 1436109217L, 2664448365L, 2350764370L, 1285829042L,
3496997759L, 2306637687L, 1571644344L, 1020052455L, 3114491401L,
2994766034L, 1518527036L, 994512437L, 1732585804L, 2089330296L,
2592371643L, 2377347339L, 2617648350L, 1478066246L, 389918052L,
1126787130L, 2728695369L, 2921719205L, 3193658789L, 2101782606L,
4284039483L, 2704867468L, 3843423543L, 119359906L, 1882384901L,
832276556L, 1862974878L, 1943541262L, 1823624942L, 2146680272L,
333006125L, 929197835L, 639017219L, 1640196300L, 1424826762L,
2119569013L, 4259272802L, 2089277168L, 2030198981L, 2950559216L,
621654826L, 3452546704L, 4085446289L, 3038316311L, 527272378L,
1679817853L, 450787204L, 3525043861L, 3838351358L, 1558592021L,
3649888848L, 3328370698L, 3247166155L, 3855970537L, 1183088418L,
2778702834L, 2820277014L, 1530905121L, 1434023607L, 3942716950L,
41643359L, 310637634L, 1537174663L, 4265200088L, 3126624846L,
2837665903L, 446994733L, 85970060L, 643115053L, 1751804182L,
1480207958L, 2977093071L, 544778713L, 738954842L, 3370733859L,
3242319053L, 2707786138L, 4041098196L, 1671493839L, 3420415077L,
2473516599L, 3949211965L, 3686186772L, 753757988L, 220738063L,
772481263L, 974568026L, 3190407677L, 480257177L, 3620733162L,
2616878358L, 665763320L, 2808607644L, 3851308236L, 3633157256L,
4240746864L, 1261222691L, 268963935L, 1449514350L, 4229662564L,
1342533852L, 1913674460L, 1761163533L, 1974260074L, 739184472L,
3811507072L, 2880992381L, 3998389163L, 2673626426L, 2212222504L,
231447607L, 2608719702L, 3509764733L, 2403318909L, 635983093L,
4233939991L, 2894463467L, 177171270L, 2962364044L, 1191007101L,
882222586L, 1004217833L, 717897978L, 2125381922L, 626199402L,
3694698943L, 1373935523L, 762314613L, 2291077454L, 2111081024L,
3758576304L, 2812129656L, 4067461097L, 3700761868L, 2281420733L,
197217625L, 460620692L, 506837624L, 1532931238L, 3872395078L,
3629107738L, 2273221134L, 2086345980L, 1240615886L, 958420495L,
4059583254L, 3119201875L, 3742950862L, 891360845L, 2974235885L,
87814219L, 4067521161L, 615939803L, 1881195074L, 2225917026L,
2775128741L, 2996201447L, 1590546624L, 3960431955L, 1417477945L,
913935155L, 1610033170L, 3212701447L, 2545374014L, 2887105562L,
2991635417L, 3194532260L, 1565555757L, 2142474733L, 621483430L,
2268177481L, 919992760L, 2022043644L, 2756890220L, 881105937L,
2621060794L, 4262292201L, 480112895L, 2557060162L, 2367031748L,
2172434102L, 296539623L, 3043643256L, 59166373L, 2947638193L,
1312917612L, 1798724013L, 75864164L, 339661149L, 289536004L,
422147716L, 1134944052L, 1095534216L, 1231984277L, 239787072L,
923053211L, 1015393503L, 2558889580L, 4194512643L, 448088150L,
707905706L, 2649061310L, 3081089715L, 3432955562L, 2217740069L,
1965789353L, 3320360228L, 3625802364L, 2420747908L, 3116949010L,
442654625L, 2157578112L, 3603825090L, 3111995525L, 1124579902L,
101836896L, 3297125816L, 136981134L, 4253748197L, 3809600572L,
1668193778L, 4146759785L, 3712590372L, 2998653463L, 3032597504L,
1046471011L, 2843821193L, 802959497L, 3307715534L, 3226042258L,
1014478160L, 3105844949L, 3209150965L, 610876993L, 2563947590L,
2482526324L, 3913970138L, 2812702315L, 4281779167L, 1026357391L,
2579486306L, 402208L, 3457975059L, 1714004950L, 2543595755L,
2421499458L, 478932497L, 3117588180L, 1565800974L, 1757724858L,
1483685124L, 2262270397L, 3794544469L, 3986696110L, 2914756339L,
1952061826L, 2672480198L, 3793151752L, 309930721L, 1861137379L,
94571340L, 1162935802L, 3681554226L, 4027302061L, 21079572L,
446709644L, 1587253187L, 1845056582L, 3080553052L, 3575272255L,
2526224735L, 3569822959L, 2685900491L, 918305237L, 1399881227L,
1554912161L, 703181091L, 738501299L, 269937670L, 1078548118L,
2313670525L, 3495159622L, 2659487842L, 11394628L, 1222454456L,
3392065094L, 3426833642L, 1153231613L, 1234517654L, 3144547626L,
2148039080L, 3790136587L, 684648337L, 3956093475L, 1384378197L,
2042781475L, 759764431L, 222267088L, 3187778457L, 3795259108L,
2817237549L, 3494781277L, 3762880618L, 892345749L, 2153484401L,
721588894L, 779278769L, 3306398772L, 4221452913L, 1981375723L,
379087895L, 1604791625L, 1426046977L, 4231163093L, 1344994557L,
1341041093L, 1072537134L, 1829925137L, 3791772627L, 3176876700L,
2553745117L, 664821113L, 473469583L, 1076256869L, 2406012795L,
3141453822L, 4123012649L, 3058620143L, 1785080140L, 1181483189L,
3587874749L, 1453504375L, 707249496L, 2022787257L, 2436320047L,
602521701L, 483826957L, 821599664L, 3333871672L, 3024431570L,
3814441382L, 416508285L, 1217138244L, 3975201118L, 3077724941L,
180118569L, 3754556886L, 4121534265L, 3495283397L, 700504668L,
3113972067L, 719371171L, 910731026L, 619936911L, 2937105529L,
2039892965L, 3853404454L, 3783801801L, 783321997L, 1135195902L,
326690505L, 1774036419L, 3476057413L, 1518029608L, 1248626026L,
427510490L, 3443223611L, 4087014505L, 2858955517L, 1918675812L,
3921514056L, 3929126528L, 4048889933L, 1583842117L, 3742539544L,
602292017L, 3393759050L, 3929818519L, 3119818281L, 3472644693L,
1993924627L, 4163228821L, 2943877721L, 3143487730L, 4087113198L,
1149082355L, 1713272081L, 1243627655L, 3511633996L, 3358757220L,
3812981394L, 650044449L, 2143650644L, 3869591312L, 3719322297L,
386030648L, 2633538573L, 672966554L, 3498396042L, 3907556L,
2308686209L, 2878779858L, 1475925955L, 2701537395L, 1448018484L,
2962578755L, 1383479284L, 3731453464L, 3659512663L, 1521189121L,
843749206L, 2243090279L, 572717972L, 3400421356L, 3440777300L,
1393518699L, 1681924551L, 466257295L, 568413244L, 3288530316L,
2951425105L, 2624424893L, 2410788864L, 2243174464L, 1385949609L,
2454100663L, 1113953725L, 2127471443L, 1775715557L, 3874125135L,
1901707926L, 3152599339L, 2277843623L, 1941785089L, 3171888228L,
802596998L, 3397391306L, 1743834429L, 395463904L, 2099329462L,
3761809163L, 262702111L, 1868879810L, 2887406426L, 1160032302L,
4164116477L, 2287740849L, 3312176050L, 747117003L, 4048006270L,
3955419375L, 2724452926L, 3141695820L, 791246424L, 524525849L,
1794277132L, 295485241L, 4125127474L, 825108028L, 1582794137L,
1259992755L, 2938829230L, 912029932L, 1534496985L, 3075283272L,
4052041116L, 1125808104L, 2032938837L, 4008676545L, 1638361535L,
1649316497L, 1302633381L, 4221627277L, 1206130263L, 3114681993L,
3409690900L, 3373263243L, 2922903613L, 349048087L, 4049532385L,
3458779287L, 1737687814L, 287275672L, 645786941L, 1492233180L,
3925845678L, 3344829077L, 1669219217L, 665224162L, 2679234088L,
1986576411L, 50610077L, 1080114376L, 1881648396L, 3818465156L,
1486861008L, 3824208930L, 1782008170L, 4115911912L, 656413265L,
771498619L, 2709443211L, 1919820065L, 451888753L, 1449812173L,
2001941180L, 2997921765L, 753032713L, 3011517640L, 2386888602L,
3181040472L, 1280522185L, 1036471598L, 1243809973L, 2985144032L,
2238294821L, 557934351L, 347132246L, 1797956016L, 624L), None)
setstate(init_state)
return [
rffi.r_longlong(randrange(-(1 << 31), (1 << 31) - 1)) for _ in range(n)
]
def arraysum(arr, sz):
sum = rffi.r_longlong(0)
for i in range(sz):
d.jit_merge_point()
sum += arr[i]
return sum
