def testLevels_to_ip1KnownValues(self):
"""level_to_ip1 should give known result with known input"""
for lvlnew,lvlold,ipnew,ipold,kind in self.knownValues:
(ipnew2,ipold2) = Fstdc.level_to_ip1([lvlnew],kind)[0]
self.assertEqual(ipnew2,ipnew)
(ipnew2,ipold2) = Fstdc.level_to_ip1([lvlold],kind)[0]
self.assertEqual(ipold2,ipold)
def testLevels_to_ip1KnownValues(self):
"""level_to_ip1 should give known result with known input"""
for lvlnew,lvlold,ipnew,ipold,kind in self.knownValues:
(ipnew2,ipold2) = Fstdc.level_to_ip1([lvlnew],kind)[0]
self.assertEqual(ipnew2,ipnew)
(ipnew2,ipold2) = Fstdc.level_to_ip1([lvlold],kind)[0]
self.assertEqual(ipold2,ipold)
def testSanity(self):
"""levels_to_ip1(ip1_to_levels(n))==n for all n"""
for lvlnew,lvlold,ipnew,ipold,kind in self.knownValues:
(lvl2,kind2) = Fstdc.ip1_to_level([ipnew])[0]
(ipnew2,ipold2) = Fstdc.level_to_ip1([lvl2],kind2)[0]
self.assertEqual(ipnew2,ipnew)
(lvl2,kind2) = Fstdc.ip1_to_level([ipold])[0]
(ipnew2,ipold2) = Fstdc.level_to_ip1([lvl2],kind2)[0]
self.assertEqual(ipold2,ipold)
def testSanity(self):
"""levels_to_ip1(ip1_to_levels(n))==n for all n"""
for lvlnew,lvlold,ipnew,ipold,kind in self.knownValues:
(lvl2,kind2) = Fstdc.ip1_to_level([ipnew])[0]
(ipnew2,ipold2) = Fstdc.level_to_ip1([lvl2],kind2)[0]
self.assertEqual(ipnew2,ipnew)
(lvl2,kind2) = Fstdc.ip1_to_level([ipold])[0]
(ipnew2,ipold2) = Fstdc.level_to_ip1([lvl2],kind2)[0]
self.assertEqual(ipold2,ipold)
def levels_to_ip1(levels, kind):
"""Encode level value into ip1 for the specified kind
ip1_list = levels_to_ip1(level_list, kind)
@param level_list list of level values [units depending on kind]
@param kind type of levels [units] to be encoded
kind = 0: levels are in height [m] (metres) with respect to sea level
kind = 1: levels are in sigma [sg] (0.0 -> 1.0)
kind = 2: levels are in pressure [mb] (millibars)
kind = 3: levels are in arbitrary code
Looks like the following are not suppored yet in the fortran func convip,
because they depend upon the local topography
kind = 4: levels are in height [M] (metres) with respect to ground level
kind = 5: levels are in hybrid coordinates [hy]
kind = 6: levels are in theta [th]
@return list of encoded level values-tuple ((ip1new, ip1old), ...)
@exception TypeError if level_list is not a tuple or list
@exception ValueError if kind is not an int in range of allowed kind
Example of use (and doctest tests):
>>> levels_to_ip1([0., 13.5, 1500., 5525., 12750.], 0)
[(15728640, 12001), (8523608, 12004), (6441456, 12301), (6843956, 13106), (5370380, 14551)]
>>> levels_to_ip1([0., 0.1, .02, 0.00678, 0.000003], 1)
[(32505856, 2000), (27362976, 3000), (28511552, 2200), (30038128, 2068), (32805856, 2000)]
>>> levels_to_ip1([1024., 850., 650., 500., 10., 2., 0.3], 2)
[(39948288, 1024), (41744464, 850), (41544464, 650), (41394464, 500), (42043040, 10), (43191616, 1840), (44340192, 1660)]
"""
if not isinstance(levels, (list, tuple)):
raise ValueError(
'levels_to_ip1: levels should be a list or a tuple; ' +
repr(levels))
if not isinstance(kind, _integer_types):
raise TypeError(
'levels_to_ip1: kind should be an int in range [0, 3]; ' +
repr(kind))
elif not kind in (0, 1, 2, 3): #(0, 1, 2, 3, 4, 5, 6):
raise ValueError(
'levels_to_ip1: kind should be an int in range [0, 3]; ' +
repr(kind))
if isinstance(levels, tuple):
ip1_list = Fstdc.level_to_ip1(list(levels), kind)
else:
ip1_list = Fstdc.level_to_ip1(levels, kind)
if not ip1_list:
raise TypeError(
'levels_to_ip1: wrong args type; levels_to_ip1(levels, kind)')
return (ip1_list)
def levels_to_ip1(levels, kind):
"""Encode level value into ip1 for the specified kind
ip1_list = levels_to_ip1(level_list, kind)
@param level_list list of level values [units depending on kind]
@param kind type of levels [units] to be encoded
kind = 0: levels are in height [m] (metres) with respect to sea level
kind = 1: levels are in sigma [sg] (0.0 -> 1.0)
kind = 2: levels are in pressure [mb] (millibars)
kind = 3: levels are in arbitrary code
Looks like the following are not suppored yet in the fortran func convip,
because they depend upon the local topography
kind = 4: levels are in height [M] (metres) with respect to ground level
kind = 5: levels are in hybrid coordinates [hy]
kind = 6: levels are in theta [th]
@return list of encoded level values-tuple ((ip1new, ip1old), ...)
@exception TypeError if level_list is not a tuple or list
@exception ValueError if kind is not an int in range of allowed kind
Example of use (and doctest tests):
>>> levels_to_ip1([0., 13.5, 1500., 5525., 12750.], 0)
[(15728640, 12001), (8523608, 12004), (6441456, 12301), (6843956, 13106), (5370380, 14551)]
>>> levels_to_ip1([0., 0.1, .02, 0.00678, 0.000003], 1)
[(32505856, 2000), (27362976, 3000), (28511552, 2200), (30038128, 2068), (32805856, 2000)]
>>> levels_to_ip1([1024., 850., 650., 500., 10., 2., 0.3], 2)
[(39948288, 1024), (41744464, 850), (41544464, 650), (41394464, 500), (42043040, 10), (43191616, 1840), (44340192, 1660)]
"""
if not type(levels) in (type(()), type([])):
raise ValueError, 'levels_to_ip1: levels should be a list or a tuple; '+repr(levels)
if type(kind) <> type(0):
raise TypeError, 'levels_to_ip1: kind should be an int in range [0, 3]; '+repr(kind)
elif not kind in (0, 1, 2, 3): #(0, 1, 2, 3, 4, 5, 6):
raise ValueError, 'levels_to_ip1: kind should be an int in range [0, 3]; '+repr(kind)
if type(levels) == type(()):
ip1_list = Fstdc.level_to_ip1(list(levels), kind)
else:
ip1_list = Fstdc.level_to_ip1(levels, kind)
if not ip1_list:
raise TypeError, 'levels_to_ip1: wrong args type; levels_to_ip1(levels, kind)'
return(ip1_list)
