def calendar_items(self, month, monthrange):
if month < 10:
mn = "0%i" % month
else:
mn = month
d1 = datetime.datetime.strptime(
("%i-%s-01 00:00:00" % (self.year, mn)), "%Y-%m-%d %H:%M:%S")
d2 = datetime.datetime.strptime(
("%i-%s-%i 23:59:59" % (self.year, mn, monthrange)),
"%Y-%m-%d %H:%M:%S")
start = long(time.mktime(d1.timetuple()) +
1e-6 * d1.microsecond) * 1000
end = long(time.mktime(d2.timetuple()) + 1e-6 * d2.microsecond) * 1000
all_logs = self.conn.getEventsByPeriod(start, end, self.eid)
items = dict()
for d in range(1, monthrange + 1):
items[d] = list()
for i in all_logs:
for d in items:
if time.gmtime(i.event.time.val / 1000).tm_mday == d:
items[d].append({
"id": i.entityId.val,
"type": i.entityType.val,
"action": i.action.val,
})
return items
def __init__(self,
device_id=0,
stream_resolution=(640, 480),
video_converter_resolution=(640, 480),
frame_duration_range=(long(1e9 // 30), long(1e9 // 30)),
exposure_time_range=(long(0), long(999999999)),
source_clip_rect=(0.0, 0.0, 1.0, 1.0),
gain_range=(0., 0.),
sensor_mode=0):
self.device_id = device_id
self.video_converter_resolution = video_converter_resolution
self.config = DEFAULT_DEVKIT_CONFIG()
self.config.setDeviceId(device_id)
self.config.setStreamResolution(stream_resolution)
self.config.setVideoConverterResolution(video_converter_resolution)
self.config.setFrameDurationRange(frame_duration_range)
self.config.setExposureTimeRange(exposure_time_range)
self.config.setGainRange(gain_range)
self.config.setSourceClipRect(source_clip_rect)
self.config.setExposureCompensation(0)
self.config.setAeLock(True)
#self.config.setSensorMode(sensor_mode)
self.channels = 4
self.camera = IArgusCamera_createArgusCamera(self.config)
def list_tests(self):
"""List currently known test types.
A new 'test type' is created each time openhtf.Test is instantiated, and
lasts as long as there are any external references to it (ie, outside the
internal tracking structures within OpenHTF).
This means creating large numbers of openhtf.Test instances and keeping
references to them around can cause memory usage to grow rapidly and
station_api performance to degrade; don't do that.
Returns:
List of RemoteTest tuple values (as a dict). Only currently-executing
tests are returned.
"""
retval = [{
'test_uid':
test.uid,
'test_name':
test.get_option('name'),
'created_time_millis':
long(test.created_time_millis),
'last_run_time_millis':
test.last_run_time_millis and long(test.last_run_time_millis),
} for test in openhtf.Test.TEST_INSTANCES.values()
if test.uid is not None]
_LOG.debug('RPC:list_tests() -> %s results', len(retval))
return retval
def data2key(data):
data = utils._parse_ssh_key(data)
_, exp, mod = (
next(data), # noqa: F841 (_)
long(utils.encode_hex(next(data)), 16),
long(utils.encode_hex(next(data)), 16))
return _rsa_construct(exp, mod)
def closestFloorValueNumpy(val, lst):
''' return the closest previous value to where val should be in lst (or val)
please use numpy.array for lst
PERF ANOUNCEMENT - AFTER TESTING
you are better using numpy.array, 15x for [] for type(lst) than array.array (x22)
array.array is bad algo perf....
'''
# Find indices where elements should be inserted to maintain order.
if isinstance(lst, list): # TODO delete
log.warning('misuse of closestFloorValue')
try:
# be positive, its a small hit compared to searchsorted on
# non-numpy array
return lst.index(val)
except ValueError as e:
pass
return closestFloorValueOld(val, lst)
indicetab = numpy.searchsorted(lst, [val])
ind = int(indicetab[0])
if ind < len(lst):
if long(lst[ind]) == val:
return long(lst[ind]), ind
if ind == 0:
raise ValueError('Value %0x is under minimum' % val)
i = ind - 1
return long(lst[i]), i
def to_python(self, value):
if self.required and not value:
raise ValidationError(self.error_messages["required"])
elif not self.required and not value:
return []
if not isinstance(value, (list, tuple)):
raise ValidationError(self.error_messages["list"])
final_values = []
for val in value:
try:
long(val)
except Exception:
raise ValidationError(self.error_messages["invalid_choice"])
else:
res = False
for q in self.queryset:
if hasattr(q.id, "val"):
if long(val) == q.id.val:
res = True
else:
if long(val) == q.id:
res = True
if not res:
raise ValidationError(
self.error_messages["invalid_choice"])
else:
final_values.append(val)
return final_values
def to_timestamp(self, d):
'''Return an integer that corresponds to the Unix timestamp, i.e. number of milliseconds since epoch.
This method converts both datetime.datetime and numpy.datetime64 objects.
'''
if d is None:
return d
if six.PY2:
if isinstance(d, long):
# compat with python2 long from datetime.datetime
d = d / 1000000000
return long(d)
if isinstance(d, numpy.datetime64):
if str(d) == "NaT":
return None
d = d.astype(datetime)
if six.PY2:
if isinstance(d, long):
return long(round(d / 1000000))
if isinstance(d, int):
# sometimes `astype(datetime)` returns an int timestamp in nanoseconds - parse this.
return round(d / 1000000)
# Convert `datetime.datetime` and `pandas.Timestamp` to millisecond timestamps
return int((time.mktime(d.timetuple()) + d.microsecond / 1000000.0) * 1000)
def read_url(self, path, offset=0, length=None, bufsize=None):
"""
read(path, offset, length[, bufsize]) -> data
Read data from a file.
"""
path = self.strip_normpath(path)
params = self._getparams()
params['op'] = 'OPEN'
params['offset'] = long(offset)
if length is not None:
params['length'] = long(length)
if bufsize is not None:
params['bufsize'] = bufsize
if self._security_enabled:
token = self.get_delegation_token(self.user)
if token:
params['delegation'] = token
# doas should not be present with delegation token as the token includes the username
# https://hadoop.apache.org/docs/r1.0.4/webhdfs.html
if 'doas' in params:
del params['doas']
if 'user.name' in params:
del params['user.name']
quoted_path = urllib_quote(smart_str(path))
return self._client._make_url(quoted_path, params)
def testConversionMethod(self):
assert None == rtype(None)
assert rlong(1) == rtype(rlong(1)) # Returns self
assert rbool(True) == rtype(True)
# Unsupported
# assert rdouble(0) == rtype(Double.valueOf(0))
assert rfloat(0) == rtype(float(0))
if sys.version_info < (3, 0, 0):
assert rlong(0) == rtype(long(0))
else:
assert rint(0) == rtype(long(0))
assert rint(0) == rtype(int(0))
assert rstring("string") == rtype("string")
# Unsupported
# assert rtime(time) == rtype(new Timestamp(time))
rtype(omero.model.ImageI())
rtype(omero.grid.JobParams())
rtype(set([rlong(1)]))
rtype(list([rlong(2)]))
rtype({})
# Unsupported
# rtype(array)
try:
rtype(())
assert False, "Shouldn't be able to handle this yet"
except omero.ClientError:
pass
def getkeys(self, host):
for script in self.getscripts(host):
key = script["script"][self.scriptid]['pubkey']
yield Key(
host['addr'], script["port"], "ssl", key['type'], key['bits'],
_rsa_construct(long(key['exponent']), long(key['modulus'])),
utils.decode_hex(script["script"][self.scriptid]['md5']))
def getDiskSpace(path='.'):
""" Get the free disk space in the partition containing the path.
The disk space is reported in MBytes. Returned 0 in case of any
error, e.g. path does not exist
"""
if not os.path.exists(path):
return -1
comm = 'df -P -m %s | tail -1' % path
resultDF = shellCall(10, comm)
if resultDF['OK'] and not resultDF['Value'][0]:
output = resultDF['Value'][1]
if output.find(' /afs') >= 0: # AFS disk space
comm = 'fs lq | tail -1'
resultAFS = shellCall(10, comm)
if resultAFS['OK'] and not resultAFS['Value'][0]:
output = resultAFS['Value'][1]
fields = output.split()
quota = long(fields[1])
used = long(fields[2])
space = (quota - used) / 1024
return int(space)
else:
return -1
else:
fields = output.split()
try:
value = int(fields[3])
except Exception as error:
print("Exception during disk space evaluation:", str(error))
value = -1
return value
else:
return -1
def data2key(data):
data = utils.parse_ssh_key(data)
_, exp, mod = (
next(data), # noqa: F841 (_)
long(utils.encode_hex(next(data)), 16),
long(utils.encode_hex(next(data)), 16))
return RSA.construct((mod, exp))
def getkeys(self, record):
yield Key(
record['addr'], record["port"], "ssh", record['infos']['algo'][4:],
record['infos']['bits'],
RSA.construct((long(record['infos']['modulus']),
long(record['infos']['exponent']))),
utils.decode_hex(record['infos']['md5']))
def checkValue(q, value):
if not hasattr(q, 'id'):
return False
if hasattr(q.id, 'val'):
if long(value) == q.id.val:
return True
if long(value) == q.id:
return True
def test_distanceCalculation(self):
ridone = hashlib.sha1(os.urandom(32))
ridtwo = hashlib.sha1(os.urandom(32))
shouldbe = long(ridone.hexdigest(), 16) ^ long(ridtwo.hexdigest(), 16)
none = Node(ridone.digest())
ntwo = Node(ridtwo.digest())
self.assertEqual(none.distanceTo(ntwo), shouldbe)
def __removeRequests(self, requestIDs):
""" This will remove requests from the RMS system -
"""
rIDs = [int(long(j)) for j in requestIDs if long(j)]
for reqID in rIDs:
self.reqClient.cancelRequest(reqID)
return S_OK()
def testMJD(self):
ts = DateTime(45205.125, DateTime.MJD, DateTime.UTC)
self.assertEqual(ts.nsecs(DateTime.UTC), long(399006000000000000))
self.assertEqual(ts.nsecs(DateTime.TAI), long(399006021000000000))
self.assertAlmostEqual(ts.get(DateTime.MJD, DateTime.UTC), 45205.125)
self.assertAlmostEqual(ts.get(DateTime.MJD, DateTime.TAI),
45205.125 + 21.0 / 86400.0)
self.assertTrue(ts.isValid())
def testNsecsDefault(self):
ts = DateTime(long(1192755506000000000))
self.assertEqual(ts.nsecs(DateTime.UTC), long(1192755473000000000))
self.assertEqual(ts.nsecs(DateTime.TAI), long(1192755506000000000))
self.assertEqual(ts.nsecs(), long(1192755506000000000))
self.assertAlmostEqual(ts.get(DateTime.MJD, DateTime.UTC),
54392.040196759262)
self.assertTrue(ts.isValid())
def checkValue(q, value):
if not hasattr(q, "id"):
return False
if hasattr(q.id, "val"):
if long(value) == q.id.val:
return True
if long(value) == q.id:
return True
def getkeys(self, host):
for script in self.getscripts(host):
key = script["script"][self.scriptid]['pubkey']
yield Key(host['addr'], script["port"], "ssl", key['type'],
key['bits'],
RSA.construct((long(key['modulus']),
long(key['exponent']),)),
utils.decode_hex(script["script"][self.scriptid]['md5']))
def total_count(self):
"""Return total count of answers."""
if 'X-RF-TOTAL-COUNT' in self._req_response.headers:
return long(self._req_response.headers.get("X-RF-TOTAL-COUNT"))
elif 'counts' in self.result: # Indicates Connect API
# force long, will be int in py3 otherwise
if 'total' in self.result['counts']:
return long(self.result['counts']['total'])
elif "result" in self.result: # term query
return long(self.result['result']['total_count'])
return None
def getkeys(self, record):
certtext = self._der2key(record['value'])
if certtext is None:
return
yield Key(
record['addr'], record["port"], "ssl", certtext['type'],
int(certtext['len']),
_rsa_construct(
long(certtext['exponent']),
long(self.modulus_badchars.sub(b"", certtext['modulus']), 16)),
utils.decode_hex(record['infos']['md5']))
def getkeys(self, record):
certtext = self._pem2key(record['fullvalue'] if 'fullvalue' in
record else record['value'])
if certtext is None:
return
yield Key(
utils.int2ip(record['addr']), record["port"], "ssl",
certtext['type'], int(certtext['len']),
RSA.construct(
(long(self.modulus_badchars.sub("", certtext['modulus']),
16), long(certtext['exponent']))),
utils.decode_hex(record['infos']['md5hash']))
def getkeys(self, record):
certtext = self._der2key(record['value'])
if certtext is None:
return
yield Key(record['addr'], record["port"], "ssl", certtext['type'],
int(certtext['len']),
RSA.construct((
long(self.modulus_badchars.sub(
b"", certtext['modulus']), 16),
long(certtext['exponent']))),
utils.decode_hex(record['infos']['md5']))
def do_basic(self, klass):
ds = klass()
self.failUnlessEqual(ds.len(), 0)
self.failUnlessEqual(list(ds._dump()), [])
self.failUnlessEqual(sum([len(d) for (s, d) in ds.get_chunks()]), 0)
s1 = ds.get_spans()
self.failUnlessEqual(ds.get(0, 4), None)
self.failUnlessEqual(ds.pop(0, 4), None)
ds.remove(0, 4)
ds.add(2, b"four")
self.failUnlessEqual(ds.len(), 4)
self.failUnlessEqual(list(ds._dump()), [2, 3, 4, 5])
self.failUnlessEqual(sum([len(d) for (s, d) in ds.get_chunks()]), 4)
s1 = ds.get_spans()
self.failUnless((2, 2) in s1)
self.failUnlessEqual(ds.get(0, 4), None)
self.failUnlessEqual(ds.pop(0, 4), None)
self.failUnlessEqual(ds.get(4, 4), None)
ds2 = klass(ds)
self.failUnlessEqual(ds2.len(), 4)
self.failUnlessEqual(list(ds2._dump()), [2, 3, 4, 5])
self.failUnlessEqual(sum([len(d) for (s, d) in ds2.get_chunks()]), 4)
self.failUnlessEqual(ds2.get(0, 4), None)
self.failUnlessEqual(ds2.pop(0, 4), None)
self.failUnlessEqual(ds2.pop(2, 3), b"fou")
self.failUnlessEqual(sum([len(d) for (s, d) in ds2.get_chunks()]), 1)
self.failUnlessEqual(ds2.get(2, 3), None)
self.failUnlessEqual(ds2.get(5, 1), b"r")
self.failUnlessEqual(ds.get(2, 3), b"fou")
self.failUnlessEqual(sum([len(d) for (s, d) in ds.get_chunks()]), 4)
ds.add(0, b"23")
self.failUnlessEqual(ds.len(), 6)
self.failUnlessEqual(list(ds._dump()), [0, 1, 2, 3, 4, 5])
self.failUnlessEqual(sum([len(d) for (s, d) in ds.get_chunks()]), 6)
self.failUnlessEqual(ds.get(0, 4), b"23fo")
self.failUnlessEqual(ds.pop(0, 4), b"23fo")
self.failUnlessEqual(sum([len(d) for (s, d) in ds.get_chunks()]), 2)
self.failUnlessEqual(ds.get(0, 4), None)
self.failUnlessEqual(ds.pop(0, 4), None)
ds = klass()
ds.add(2, b"four")
ds.add(3, b"ea")
self.failUnlessEqual(ds.get(2, 4), b"fear")
ds = klass()
ds.add(long(2), b"four")
ds.add(long(3), b"ea")
self.failUnlessEqual(ds.get(long(2), long(4)), b"fear")
def getkeys(self, record):
certtext = self._pem2key(record['fullvalue']
if 'fullvalue' in record
else record['value'])
if certtext is None:
return
yield Key(utils.int2ip(record['addr']), record["port"], "ssl",
certtext['type'], int(certtext['len']),
RSA.construct((
long(self.modulus_badchars.sub(
"", certtext['modulus']), 16),
long(certtext['exponent']))),
utils.decode_hex(record['infos']['md5hash']))
def test_tokens_to_str(self):
self.assertEqual(self.sel.tokens_to_str([]), '')
self.assertEqual(self.sel.tokens_to_str(['a']), '/a')
self.assertEqual(self.sel.tokens_to_str(['a', 0]), '/a/0')
self.assertEqual(self.sel.tokens_to_str(('a', 0)), '/a/0')
self.assertEqual(self.sel.tokens_to_str(('a', long(0))), '/a/0')
self.assertEqual(self.sel.tokens_to_str(['a', '*']), '/a/*')
self.assertEqual(self.sel.tokens_to_str(['a', 'b', 0]), '/a/b/0')
self.assertEqual(self.sel.tokens_to_str(['a', 'b', [0, 1]]), '/a/b[0,1]')
self.assertEqual(self.sel.tokens_to_str(['a', 'b', (0, 1)]), '/a/b[0,1]')
self.assertEqual(self.sel.tokens_to_str(['a', 'b', slice(0, 5)]), '/a/b[0:5]')
self.assertEqual(self.sel.tokens_to_str(['a', 'b', slice(long(0), long(5))]), '/a/b[0:5]')
self.assertEqual(self.sel.tokens_to_str(['a', 'b', slice(None, 5)]), '/a/b[:5]')
def to_timestamp(self, obj):
'''Return an integer that corresponds to the Unix timestamp, i.e. number of milliseconds since epoch.
This method converts both datetime.datetime and numpy.datetime64 objects.
'''
if obj is None:
return obj
if isinstance(obj, Period):
# extract the start of the Period
obj = obj.to_timestamp()
if six.PY2:
if isinstance(obj, long):
# compat with python2 long from datetime.datetime
obj = obj / 1000000000
return long(obj)
if isinstance(obj, numpy.datetime64):
if str(obj) == "NaT":
return None
# astype(datetime) returns an int or a long (in python 2)
obj = obj.astype(datetime)
if isinstance(obj, date) and not isinstance(obj, datetime):
# handle numpy "datetime64[D/W/M/Y]" - mktime output in seconds
return int((time.mktime(obj.timetuple())) * 1000)
if six.PY2:
if isinstance(obj, long):
return long(round(obj / 1000000))
if isinstance(obj, int):
return round(obj / 1000000)
if isinstance(obj, (int, float)):
# figure out whether the timestamp is in seconds or milliseconds
try:
# if it overflows, it's milliseconds - otherwise convert from seconds to milliseconds.
datetime.fromtimestamp(obj)
return int(obj * 1000)
except (ValueError, OverflowError):
# milliseconds
return int(obj)
# Convert `datetime.datetime` and `pandas.Timestamp` to millisecond timestamps
return int(
(time.mktime(obj.timetuple()) + obj.microsecond / 1000000.0) *
1000)
def singleDiracBenchmark(iterations=1, measuredCopies=None):
""" Get Normalized Power of one CPU in DIRAC Benchmark 2012 units (DB12)
"""
# This number of iterations corresponds to 1kHS2k.seconds, i.e. 250 HS06 seconds
n = int(1000 * 1000 * 12.5)
calib = 250.0
m = long(0)
m2 = long(0)
p = 0
p2 = 0
# Do one iteration extra to allow CPUs with variable speed (we ignore zeroth iteration)
# Do one or more extra iterations to avoid tail effects when copies run in parallel
i = 0
while (i <= iterations) or (measuredCopies is not None
and measuredCopies.value > 0):
if i == 1:
start = os.times()
# Now the iterations
for _j in xrange(n):
t = random.normalvariate(10, 1)
m += t
m2 += t * t
p += t
p2 += t * t
if i == iterations:
end = os.times()
if measuredCopies is not None:
# Reduce the total of running copies by one
measuredCopies.value -= 1
i += 1
cput = sum(end[:4]) - sum(start[:4])
wall = end[4] - start[4]
if not cput:
return None
# Return DIRAC-compatible values
return {
'CPU': cput,
'WALL': wall,
'NORM': calib * iterations / cput,
'UNIT': 'DB12'
}
def to_timestamp(self, obj):
'''Return an integer that corresponds to the Unix timestamp, i.e.
number of milliseconds since epoch.
This method converts both datetime.datetime and numpy.datetime64
objects.
'''
if obj is None:
return obj
if obj.__class__.__name__ == "date":
# handle updating datetime with date object
obj = datetime(obj.year, obj.month, obj.day)
if isinstance(obj, Period):
# extract the start of the Period
obj = obj.to_timestamp()
if six.PY2:
if isinstance(obj, long):
# compat with python2 long from datetime.datetime
obj = obj / 1000000000
return long(obj)
if isinstance(obj, numpy.datetime64):
if str(obj) == "NaT":
return None
# astype(datetime) returns an int or a long (in python 2)
obj = obj.astype(datetime)
if isinstance(obj, date) and not isinstance(obj, datetime):
# handle numpy "datetime64[D/W/M/Y]" - mktime output in seconds
return int((time.mktime(obj.timetuple())) * 1000)
if six.PY2:
if isinstance(obj, long):
return long(round(obj / 1000000))
if isinstance(obj, int):
return round(obj / 1000000)
if isinstance(obj, (int, float)):
return _normalize_timestamp(obj)
return int(
(time.mktime(obj.timetuple()) + obj.microsecond / 1000000.0) *
1000)
def testToDict(self):
ps = dafBase.PropertySet()
ps.setBool("bool", True)
ps.setShort("short", 42)
ps.setInt("int", 2008)
ps.setLongLong("int64_t", long(0xfeeddeadbeef))
ps.setInt("ints", [10, 9, 8])
ps2 = dafBase.PropertySet()
ps2.set("ps", ps)
ps2.setFloat("float", 3.14159)
ps2.setDouble("double", 2.718281828459045)
ps2.set("char*", "foo")
ps2.setString("string", "bar")
ps2.set(
"dt",
dafBase.DateTime("20090402T072639.314159265Z",
dafBase.DateTime.UTC))
d = ps2.toDict()
self.assertIsInstance(d, dict)
self.assertIsInstance(d["float"], float)
self.assertAlmostEqual(d["float"], 3.14159, 6)
self.assertIsInstance(d["double"], float)
self.assertEqual(d["double"], 2.718281828459045)
self.assertIsInstance(d["char*"], basestring)
self.assertEqual(d["char*"], "foo")
self.assertIsInstance(d["string"], basestring)
self.assertEqual(d["string"], "bar")
self.assertIsInstance(d["dt"], dafBase.DateTime)
self.assertEqual(d["dt"].nsecs(), long(1238657233314159265))
d2 = d["ps"]
self.assertIsInstance(d2, dict)
self.assertIsInstance(d2["bool"], bool)
self.assertEqual(d2["bool"], True)
self.assertIsInstance(d2["short"], (int, long))
self.assertEqual(d2["short"], 42)
self.assertIsInstance(d2["int"], (int, long))
self.assertEqual(d2["int"], 2008)
self.assertIsInstance(d2["int64_t"], (int, long))
self.assertEqual(d2["int64_t"], long(0xfeeddeadbeef))
self.assertIsInstance(d2["ints"], list)
self.assertIsInstance(d2["ints"][0], (int, long))
self.assertEqual(d2["ints"], [10, 9, 8])
def _calc_hash(op, args, keywords):
"""
Calculates the hash of an AST, given the operation, args, and kwargs.
:param op: The operation.
:param args: The arguments to the operation.
:param keywords: A dict including the 'symbolic', 'variables', and 'length' items.
:returns: a hash.
We do it using md5 to avoid hash collisions.
(hash(-1) == hash(-2), for example)
"""
args_tup = tuple(
long(a) if type(a) is int and int is not long else (
a if type(a) in (long, float) else hash(a)) for a in args)
to_hash = (op, args_tup, keywords['symbolic'],
hash(keywords['variables']),
str(keywords.get('length', None)),
hash(keywords.get('annotations', None)))
# Why do we use md5 when it's broken? Because speed is more important
# than cryptographic integrity here. Then again, look at all those
# allocations we're doing here... fast python is painful.
hd = hashlib.md5(pickle.dumps(to_hash, -1)).digest()
return md5_unpacker.unpack(hd)[0] # 64 bits
def RenderValue(self, value):
# Always render ints as longs - so that there's no ambiguity in the UI
# renderers when type depends on the value.
if isinstance(value, int):
value = long(value)
return self._IncludeTypeInfo(value, value)
def to_date_components(self, obj):
'''Return a dictionary of string keys and integer values for `year`,
`month`, and `day`.
This method converts both datetime.date and numpy.datetime64 objects
that contain datetime.date.
'''
if obj is None:
return obj
if isinstance(obj, (int, float)):
obj = datetime.fromtimestamp(_normalize_timestamp(obj) / 1000)
if six.PY2:
if isinstance(obj, (long)):
obj = datetime.fromtimestamp(long(obj))
if isinstance(obj, numpy.datetime64):
if str(obj) == "NaT":
return None
obj = obj.astype(datetime)
if (six.PY2 and isinstance(obj, long)) or isinstance(obj, int):
obj = datetime.fromtimestamp(obj / 1000000000)
return {"year": obj.year, "month": obj.month, "day": obj.day}
def read_word(self, vaddr):
"""Address have to be aligned!"""
laddr = self._vtop(vaddr)
# word = self._target_platform.get_word_type().from_address(long(laddr)).value
word = self._ctypes.c_ulong.from_address(long(laddr)).value
# is non-aligned a pb ?, indianess is at risk
return word
def _getinfos_ssh_hostkey(spec):
"""Parse SSH host keys."""
infos = {}
data = utils.nmap_decode_data(spec['value'])
for hashtype in ['md5', 'sha1', 'sha256']:
infos[hashtype] = hashlib.new(hashtype, data).hexdigest()
data = utils.parse_ssh_key(data)
keytype = infos["algo"] = next(data).decode()
if keytype == "ssh-rsa":
try:
infos["exponent"], infos["modulus"] = (
long(utils.encode_hex(elt), 16) for elt in data
)
except Exception:
utils.LOGGER.info("Cannot parse SSH host key for record %r", spec,
exc_info=True)
else:
infos["bits"] = math.ceil(math.log(infos["modulus"], 2))
# convert integer to strings to prevent overflow errors
# (e.g., "MongoDB can only handle up to 8-byte ints")
for val in ["exponent", "modulus"]:
infos[val] = str(infos[val])
elif keytype == 'ecdsa-sha2-nistp256':
infos['bits'] = 256
elif keytype == 'ssh-ed25519':
infos['bits'] = len(next(data)) * 8
return {'infos': infos}
def to_date_components(self, obj):
'''Return a dictionary of string keys and integer values for `year`,
`month` (from 0 - 11), and `day`.
This method converts both datetime.date and numpy.datetime64 objects
that contain datetime.date.
'''
if obj is None:
return obj
if isinstance(obj, (int, float)):
obj = datetime.fromtimestamp(_normalize_timestamp(obj) / 1000)
if six.PY2:
if isinstance(obj, (long)):
obj = datetime.fromtimestamp(long(obj))
if isinstance(obj, numpy.datetime64):
if str(obj) == "NaT":
return None
obj = obj.astype(datetime)
if (six.PY2 and isinstance(obj, long)) or isinstance(obj, int):
obj = datetime.fromtimestamp(obj / 1000000000)
# Perspective stores month in `t_date` as an integer [0-11],
# while Python stores month as [1-12], so decrement the Python value
# before Perspective attempts to use it.
return {"year": obj.year, "month": obj.month - 1, "day": obj.day}
def from_data(self, data, panda_id):
for attr, val in iteritems(data):
# skip non attributes
if attr not in self.attributes:
continue
setattr(self, attr, val)
self.PandaID = long(panda_id)
def Validate(self, value):
if value is None:
value = 0
if not isinstance(value, (int, long)):
raise TypeValueError("Invalid value %s for Integer" % value)
return long(value)
def _asdict(self):
return {
'name': self.name,
'codeinfo': self.phase_record.codeinfo,
'descriptor_id': self.phase_record.descriptor_id,
'start_time_millis': long(self.phase_record.start_time_millis),
'options': self.phase_record.options,
'attachments': self.attachments,
'measurements': self.measurements,
}
def test_encode_property_long(self):
geometry = 'POINT(0 0)'
properties = {
'test_int': int(1),
'test_long': long(1)
}
self.assertRoundTrip(
input_geometry=geometry,
expected_geometry=[[0, 0]],
properties=properties)
def test_encode_property_long(self):
geometry = 'POINT(0 0)'
properties = {
'test_int': int(1),
'test_long': long(1)
}
self.assertRoundTrip(
input_geometry=geometry,
expected_geometry={'type': 'Point', 'coordinates': [0, 0]},
properties=properties)
def events_to_update(self, workspec):
# get logger
tmpLog = core_utils.make_logger(_logger, 'workerID={0}'.format(workspec.workerID),
method_name='events_to_update')
# look for the json just under the access point
retDict = dict()
for pandaID in workspec.pandaid_list:
# look for the json just under the access point
accessPoint = self.get_access_point(workspec, pandaID)
jsonFilePath = os.path.join(accessPoint, jsonEventsUpdateFileName)
readJsonPath = jsonFilePath + suffixReadJson
# first look for json.read which is not yet acknowledged
tmpLog.debug('looking for event update file {0}'.format(readJsonPath))
if os.path.exists(readJsonPath):
pass
else:
tmpLog.debug('looking for event update file {0}'.format(jsonFilePath))
if not os.path.exists(jsonFilePath):
# not found
tmpLog.debug('not found')
continue
try:
# rename to prevent from being overwritten
os.rename(jsonFilePath, readJsonPath)
except Exception:
tmpLog.error('failed to rename json')
continue
# load json
nData = 0
try:
with open(readJsonPath) as jsonFile:
tmpOrigDict = json.load(jsonFile)
newDict = dict()
# change the key from str to int
for tmpPandaID, tmpDict in iteritems(tmpOrigDict):
tmpPandaID = long(tmpPandaID)
retDict[tmpPandaID] = tmpDict
nData += len(tmpDict)
except Exception:
tmpLog.error('failed to load json')
# delete empty file
if nData == 0:
try:
os.remove(readJsonPath)
except Exception:
pass
tmpLog.debug('got {0} events for PandaID={1}'.format(nData, pandaID))
return retDict
def t_INT_CONST(self, t):
# [Ll] suffix has been deprecated
r'[+-]?([1-9][0-9]*|0[xX]?[0-9a-fA-F]+|0)'
# r'[+-]?([1-9][0-9]*|0)[lL]?' # original regex for decimal integers in ncgen3.l file
# r'0[xX]?[0-9a-fA-F]+[lL]?' # original regex for octal or hex
# integers in ncgen3.l file
try:
long_val = long(eval(t.value))
except SyntaxError:
try:
long_val = long(eval(t.value[0]+'o'+t.value[1:]))
except TypeError:
errmsg = "Bad integer constant: %s" % t.value
raise CDLContentError(errmsg)
except TypeError:
errmsg = "Bad integer constant: %s" % t.value
raise CDLContentError(errmsg)
if long_val < XDR_INT_MIN or long_val > XDR_INT_MAX:
errmsg = "Integer constant outside valid range (%d -> %d): %s" \
% (XDR_INT_MIN, XDR_INT_MAX, int_val)
raise CDLContentError(errmsg)
else:
t.value = np.int32(long_val)
return t
def list_tests(self):
"""List currently known test types.
A new 'test type' is created each time openhtf.Test is instantiated, and
lasts as long as there are any external references to it (ie, outside the
internal tracking structures within OpenHTF).
This means creating large numbers of openhtf.Test instances and keeping
references to them around can cause memory usage to grow rapidly and
station_api performance to degrade; don't do that.
Returns:
List of RemoteTest tuple values (as a dict). Only currently-executing
tests are returned.
"""
retval = [{
'test_uid': test.uid,
'test_name': test.get_option('name'),
'created_time_millis': long(test.created_time_millis),
'last_run_time_millis':
test.last_run_time_millis and long(test.last_run_time_millis),
} for test in openhtf.Test.TEST_INSTANCES.values() if test.uid is not None]
_LOG.debug('RPC:list_tests() -> %s results', len(retval))
return retval
def get_input_file_attributes(self, skip_ready=False):
lfnToSkip = set()
attemptNrMap = dict()
pathMap = dict()
for fileSpec in self.inFiles:
if skip_ready and fileSpec.status == 'ready':
lfnToSkip.add(fileSpec.lfn)
attemptNrMap[fileSpec.lfn] = fileSpec.attemptNr
pathMap[fileSpec.lfn] = fileSpec.path
inFiles = {}
lfns = self.jobParams['inFiles'].split(',')
guids = self.jobParams['GUID'].split(',')
fsizes = self.jobParams['fsize'].split(',')
chksums = self.jobParams['checksum'].split(',')
scopes = self.jobParams['scopeIn'].split(',')
datasets = self.jobParams['realDatasetsIn'].split(',')
endpoints = self.jobParams['ddmEndPointIn'].split(',')
for lfn, guid, fsize, chksum, scope, dataset, endpoint in \
zip(lfns, guids, fsizes, chksums, scopes, datasets, endpoints):
try:
fsize = long(fsize)
except Exception:
fsize = None
if lfn in lfnToSkip:
continue
if lfn in attemptNrMap:
attemptNr = attemptNrMap[lfn]
else:
attemptNr = 0
inFiles[lfn] = {'fsize': fsize,
'guid': guid,
'checksum': chksum,
'scope': scope,
'dataset': dataset,
'endpoint': endpoint,
'attemptNr': attemptNr}
# add path
if 'inFilePaths' in self.jobParams:
for lfn in lfns:
if lfn not in inFiles or lfn not in pathMap:
continue
inFiles[lfn]['path'] = pathMap[lfn]
# delete empty file
if '' in inFiles:
del inFiles['']
if 'NULL' in inFiles:
del inFiles['NULL']
return inFiles
def record_timing_context(self):
"""Context manager for the execution of a single phase.
This method performs some pre-phase setup on self (for measurements), and
records the start and end time based on when the context is entered/exited.
Yields:
None
"""
self._cached['start_time_millis'] = long(
self.phase_record.record_start_time())
try:
yield
finally:
self._finalize_measurements()
self._set_phase_outcome()
self.phase_record.finalize_phase(self.options)
def ctypes_to_python_array(self, array):
"""Converts an array of undetermined Basic self.__ctypes class to a python array,
by guessing it's type from it's class name.
This is a bad example of introspection.
"""
if isinstance(array, str) or isinstance(array, bytes):
# special case for c_char[]
return array
if not self._ctypes.is_array_of_basic_instance(array):
raise TypeError('NOT-AN-Basic-Type-ARRAY')
if array._type_ in [self._ctypes.c_int, self._ctypes.c_uint, self._ctypes.c_long,
self._ctypes.c_ulong, self._ctypes.c_ubyte, self._ctypes.c_byte]:
return [long(el) for el in array]
if array._type_ in [self._ctypes.c_float, self._ctypes.c_double, self._ctypes.c_longdouble]:
return [float(el) for el in array]
sb = ''.join([struct.pack(array._type_._type_, el) for el in array])
return sb
def history(self):
"""Get a history.History instance for this remote test.
Note that accessing this attribute triggers an RPC to check for any new
history entries since the most recent known one. This means saving a
reference to the return value and reusing it will not trigger an update
from the remote end. Alternatively, accessing the 'cached_history'
attribute will reference only local already-known history.
"""
last_start_time = self._cached_history.last_start_time(self.test_uid)
new_history = self.shared_proxy.get_history_after(
self.test_uid, long(last_start_time))
_LOG.debug('Requested history update for %s after %s, got %s results.',
self.test_uid, last_start_time, len(new_history))
for record in new_history:
self._cached_history.APPEND_RECORD(self.test_uid, record)
return self.cached_history
def FromString(self, string):
try:
return long(string)
except ValueError:
raise TypeValueError("Invalid value %s for Integer" % string)
def getkeys(self, record):
yield Key(record['addr'], record["port"], "ssh",
record['infos']['algo'][4:], record['infos']['bits'],
RSA.construct((long(record['infos']['modulus']),
long(record['infos']['exponent']))),
utils.decode_hex(record['infos']['md5']))
def pem2key(cls, pem):
certtext = cls._pem2key(pem)
return None if certtext is None else RSA.construct((
long(cls.modulus_badchars.sub(b"", certtext['modulus']), 16),
long(certtext['exponent']),
))
def _get_number(s):
try:
return long(s)
except (ValueError, TypeError):
return 0
def now(self):
return long(time.time() * 1000)
def rpc_find_node(self, sender, nodeid, key):
self.log.info("finding neighbors of %i in local table" % long(binascii.hexlify(nodeid), 16))
source = Node(nodeid, sender[0], sender[1])
self.welcomeIfNewNode(source)
node = Node(key)
return list(map(tuple, self.router.findNeighbors(node, exclude=source)))
def get_files_to_stage_out(self, workspec):
# get logger
tmpLog = core_utils.make_logger(_logger, 'workerID={0}'.format(workspec.workerID),
method_name='get_files_to_stage_out')
fileDict = dict()
# look for the json just under the access point
for pandaID in workspec.pandaid_list:
# look for the json just under the access point
accessPoint = self.get_access_point(workspec, pandaID)
jsonFilePath = os.path.join(accessPoint, jsonOutputsFileName)
readJsonPath = jsonFilePath + suffixReadJson
# first look for json.read which is not yet acknowledged
tmpLog.debug('looking for output file {0}'.format(readJsonPath))
if os.path.exists(readJsonPath):
pass
else:
tmpLog.debug('looking for output file {0}'.format(jsonFilePath))
if not os.path.exists(jsonFilePath):
# not found
tmpLog.debug('not found')
continue
try:
tmpLog.debug('found')
# rename to prevent from being overwritten
os.rename(jsonFilePath, readJsonPath)
except Exception:
tmpLog.error('failed to rename json')
continue
# load json
toSkip = False
loadDict = None
try:
with open(readJsonPath) as jsonFile:
loadDict = json.load(jsonFile)
except Exception:
tmpLog.error('failed to load json')
toSkip = True
# test validity of data format (ie it should be a Dictionary)
if not toSkip:
if not isinstance(loadDict, dict):
tmpLog.error('loaded data is not a dictionary')
toSkip = True
# collect files and events
nData = 0
if not toSkip:
sizeMap = dict()
chksumMap = dict()
eventsList = dict()
for tmpPandaID, tmpEventMapList in iteritems(loadDict):
tmpPandaID = long(tmpPandaID)
# test if tmpEventMapList is a list
if not isinstance(tmpEventMapList, list):
tmpLog.error('loaded data item is not a list')
toSkip = True
break
for tmpEventInfo in tmpEventMapList:
try:
nData += 1
if 'eventRangeID' in tmpEventInfo:
tmpEventRangeID = tmpEventInfo['eventRangeID']
else:
tmpEventRangeID = None
tmpFileDict = dict()
pfn = tmpEventInfo['path']
lfn = os.path.basename(pfn)
tmpFileDict['path'] = pfn
if pfn not in sizeMap:
if 'fsize' in tmpEventInfo:
sizeMap[pfn] = tmpEventInfo['fsize']
else:
sizeMap[pfn] = os.stat(pfn).st_size
tmpFileDict['fsize'] = sizeMap[pfn]
tmpFileDict['type'] = tmpEventInfo['type']
if tmpEventInfo['type'] in ['log', 'output']:
# disable zipping
tmpFileDict['isZip'] = 0
elif tmpEventInfo['type'] == 'zip_output':
# already zipped
tmpFileDict['isZip'] = 1
elif 'isZip' in tmpEventInfo:
tmpFileDict['isZip'] = tmpEventInfo['isZip']
# guid
if 'guid' in tmpEventInfo:
tmpFileDict['guid'] = tmpEventInfo['guid']
else:
tmpFileDict['guid'] = str(uuid.uuid4())
# get checksum
if pfn not in chksumMap:
if 'chksum' in tmpEventInfo:
chksumMap[pfn] = tmpEventInfo['chksum']
else:
chksumMap[pfn] = core_utils.calc_adler32(pfn)
tmpFileDict['chksum'] = chksumMap[pfn]
if tmpPandaID not in fileDict:
fileDict[tmpPandaID] = dict()
if lfn not in fileDict[tmpPandaID]:
fileDict[tmpPandaID][lfn] = []
fileDict[tmpPandaID][lfn].append(tmpFileDict)
# skip if unrelated to events
if tmpFileDict['type'] not in ['es_output', 'zip_output']:
continue
tmpFileDict['eventRangeID'] = tmpEventRangeID
if tmpPandaID not in eventsList:
eventsList[tmpPandaID] = list()
eventsList[tmpPandaID].append({'eventRangeID': tmpEventRangeID,
'eventStatus': tmpEventInfo['eventStatus']})
except Exception:
core_utils.dump_error_message(tmpLog)
# dump events
if not toSkip:
if len(eventsList) > 0:
curName = os.path.join(accessPoint, jsonEventsUpdateFileName)
newName = curName + '.new'
f = open(newName, 'w')
json.dump(eventsList, f)
f.close()
os.rename(newName, curName)
# remove empty file
if toSkip or nData == 0:
try:
os.remove(readJsonPath)
except Exception:
pass
tmpLog.debug('got {0} files for PandaID={1}'.format(nData, pandaID))
return fileDict
def test_longID(self):
rid = hashlib.sha1(os.urandom(32)).digest()
n = Node(rid)
self.assertEqual(n.long_id, long(binascii.hexlify(rid), 16))
def data2key(data):
data = utils.parse_ssh_key(data)
_, exp, mod = (next(data), # noqa: F841 (_)
long(utils.encode_hex(next(data)), 16),
long(utils.encode_hex(next(data)), 16))
return RSA.construct((mod, exp))
def convert_to_base_types(obj, ignore_keys=tuple(), tuple_type=tuple,
json_safe=True):
"""Recursively convert objects into base types.
This is used to convert some special types of objects used internally into
base types for more friendly output via mechanisms such as JSON. It is used
for sending internal objects via the network and outputting test records.
Specifically, the conversions that are performed:
- If an object has an as_base_types() method, immediately return the result
without any recursion; this can be used with caching in the object to
prevent unnecessary conversions.
- If an object has an _asdict() method, use that to convert it to a dict and
recursively converting its contents.
- mutablerecords Record instances are converted to dicts that map
attribute name to value. Optional attributes with a value of None are
skipped.
- Enum instances are converted to strings via their .name attribute.
- Real and integral numbers are converted to built-in types.
- Byte and unicode strings are left alone (instances of six.string_types).
- Other non-None values are converted to strings via str().
The return value contains only the Python built-in types: dict, list, tuple,
str, unicode, int, float, long, bool, and NoneType (unless tuple_type is set
to something else). If tuples should be converted to lists (e.g. for an
encoding that does not differentiate between the two), pass 'tuple_type=list'
as an argument.
If `json_safe` is True, then the float 'inf', '-inf', and 'nan' values will be
converted to strings. This ensures that the returned dictionary can be passed
to json.dumps to create valid JSON. Otherwise, json.dumps may return values
such as NaN which are not valid JSON.
"""
# Because it's *really* annoying to pass a single string accidentally.
assert not isinstance(ignore_keys, six.string_types), 'Pass a real iterable!'
if hasattr(obj, 'as_base_types'):
return obj.as_base_types()
if hasattr(obj, '_asdict'):
obj = obj._asdict()
elif isinstance(obj, records.RecordClass):
obj = {attr: getattr(obj, attr)
for attr in type(obj).all_attribute_names
if (getattr(obj, attr, None) is not None or
attr in type(obj).required_attributes)}
elif isinstance(obj, Enum):
obj = obj.name
if type(obj) in PASSTHROUGH_TYPES:
return obj
# Recursively convert values in dicts, lists, and tuples.
if isinstance(obj, dict):
return {convert_to_base_types(k, ignore_keys, tuple_type):
convert_to_base_types(v, ignore_keys, tuple_type)
for k, v in six.iteritems(obj) if k not in ignore_keys}
elif isinstance(obj, list):
return [convert_to_base_types(val, ignore_keys, tuple_type, json_safe)
for val in obj]
elif isinstance(obj, tuple):
return tuple_type(
convert_to_base_types(value, ignore_keys, tuple_type, json_safe)
for value in obj)
# Convert numeric types (e.g. numpy ints and floats) into built-in types.
elif isinstance(obj, numbers.Integral):
return long(obj)
elif isinstance(obj, numbers.Real):
as_float = float(obj)
if json_safe and (math.isinf(as_float) or math.isnan(as_float)):
return str(as_float)
return as_float
# Convert all other types to strings.
try:
return str(obj)
except:
logging.warning('Problem casting object of type %s to str.', type(obj))
raise
def __init__(self, id, ip=None, port=None, can_test=0):
self.id = id
self.ip = ip
self.port = port
self.can_test = can_test
self.long_id = long(binascii.hexlify(id), 16)