assert (closeto_seq(polar.map(math.pi, 1), (-1, 0)))
assert (closeto_seq(polar.inverse(1, 1), ((math.pi / 4), math.sqrt(2))))
# This unit test requires "nan", which numarray.ieeespecial
# exports. (But we can keep using the numerix module.)
try:
from numarray.ieeespecial import nan
have_nan = True
except ImportError:
have_nan = False
if have_nan:
y1 = array([2, nan, 1, 2, 3, 4])
y2 = array([nan, nan, 1, 2, 3, 4])
x1 = arange(len(y1))
x2 = arange(len(y2))
bbox1 = Bbox(Point(Value(0), Value(0)), Point(Value(1), Value(1)))
bbox2 = Bbox(Point(Value(0), Value(0)), Point(Value(1), Value(1)))
bbox1.update_numerix(x1, y1, 1)
bbox2.update_numerix(x2, y2, 1)
assert (closeto_seq(bbox1.get_bounds(), bbox2.get_bounds()))
else:
print 'nan could not be imported from numarray.ieeespecial, test skipped'
print 'all tests passed'
# This unit test requires "nan", which numarray.ieeespecial
# exports. (But we can keep using the numerix module.)
try:
from numarray.ieeespecial import nan
have_nan = True
except ImportError:
have_nan = False
if have_nan:
y1=array([ 2,nan,1,2,3,4])
y2=array([nan,nan,1,2,3,4])
x1=arange(len(y1))
x2=arange(len(y2))
bbox1 = Bbox(Point(Value(0),Value(0)),
Point(Value(1),Value(1)))
bbox2 = Bbox(Point(Value(0),Value(0)),
Point(Value(1),Value(1)))
bbox1.update_numerix(x1,y1,1)
bbox2.update_numerix(x2,y2,1)
assert( closeto_seq( bbox1.get_bounds(), bbox2.get_bounds() ) )
else:
print 'nan could not be imported from numarray.ieeespecial, test skipped'
print 'all tests passed'
