/usr/share/pyshared/scitools/easyviz/misc.py is in python-scitools 0.9.0-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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from scitools.numpytools import asarray, ones, seq, shape, reshape, meshgrid, \
NumPyArray, NumPy_type
import scitools.globaldata
def _update_from_config_file(d, section='easyviz'):
"""
Update the dictionary d with values from the config file scitools.cfg.
"""
import pprint
for key in d:
data = scitools.globaldata._config_data.get(section,{})
if key in data:
try:
d[key] = data[key][0]
except Exception, e:
raise Exception('%s, trying to set key=%s to "%s"' % \
(str(e), key, data[key][0]))
def _toggle_state(state):
if state == 'off' or not state:
return False
else:
return True
def _check_type(var, name, type):
if not isinstance(var, type):
raise TypeError('variable "%s"=%s is not of %s' % \
(name, var, str(type)))
else:
return True
def _check_size(a, a_name, expected_size):
if isinstance(expected_size, int):
expected_size = (expected_size,)
if shape(a) != expected_size:
raise ValueError('%s has shape %s, expected %s' % \
(a_name, a.shape, expected_size))
def _check_xyzv(*args, **kwargs):
nargs = len(args)
if nargs == 1:
x, y, z = [None]*3
v = asarray(args[0])
elif nargs == 4:
x, y, z, v = [asarray(a) for a in args]
else:
raise ValueError("_check_xyzv: wrong number of arguments")
try:
nx, ny, nz = shape(v)
except:
raise ValueError('_check_xyzv: v must be 3D, not %dD' % len(shape(v)))
indexing = kwargs.get('indexing', 'ij')
if x is None and y is None and z is None:
if indexing == 'ij':
ny, nx = nx, nz # swap
x, y, z = meshgrid(range(ny), range(nx), range(nz), indexing=indexing)
else:
if indexing == 'ij':
assert shape(x)==(nx,ny,nz) or shape(x)==(nx,1,1) or \
shape(x)==(nx,), \
"_check_xyzv: x has shape %s, expected %s, %s, or %s" % \
(shape(x), (nx,ny,nz), (nx,1,1), (nx,))
if shape(x) == (nx,ny,nz):
assert shape(y) == (nx,ny,nz), \
"_check_xyzv: x has shape %s, expected y to be %s, " \
"not %s" % (shape(x), (nx,ny,nz), shape(y))
assert shape(z) == (nx,ny,nz), \
"_check_xyzv: x has shape %s, expected z to be %s, " \
"not %s" % (shape(x), (nx,ny,nz), shape(z))
elif shape(x) == (nx,1,1):
assert shape(y) == (1,ny,1), \
"_check_xyzv: x has shape %s, expected y to be %s, " \
"not %s" % (shape(x), (1,ny,1), shape(y))
assert shape(z) == (1,1,nz), \
"_check_xyzv: x has shape %s, expected z to be %s, " \
"not %s" % (shape(x), (1,1,nz), shape(z))
else: # shape(x) == (nx,)
assert shape(y) == (ny,), \
"_check_xyzv: x has shape %s, expected y to be %s, " \
"not %s" % (shape(x), (ny,), shape(y))
assert shape(z) == (nz,), \
"_check_xyzv: x has shape %s, expected z to be %s, " \
"not %s" % (shape(x), (nz,), shape(z))
else:
assert shape(x)==(nx,ny,nz) or shape(x)==(1,ny,1) or \
shape(x)==(ny,), \
"_check_xyzv: x has shape %s, expected %s, %s, or %s" % \
(shape(x), (nx,ny,nz), (1,ny,1), (ny,))
if shape(x) == (nx,ny,nz):
assert shape(y) == (nx,ny,nz), \
"_check_xyzv: x has shape %s, expected y to be %s, " \
"not %s" % (shape(x), (nx,ny,nz), shape(y))
assert shape(z) == (nx,ny,nz), \
"_check_xyzv: x has shape %s, expected z to be %s, " \
"not %s" % (shape(x), (nx,ny,nz), shape(z))
elif shape(x) == (1,ny,1):
assert shape(y) == (nx,1,1), \
"_check_xyzv: x has shape %s, expected y to be %s, " \
"not %s" % (shape(x), (nx,1,1), shape(y))
assert shape(z) == (1,1,nz), \
"_check_xyzv: x has shape %s, expected z to be %s, " \
"not %s" % (shape(x), (1,1,nz), shape(z))
else: # shape(x) == (ny,)
assert shape(y) == (nx,), \
"_check_xyzv: x has shape %s, expected y to be %s, " \
"not %s" % (shape(x), (nx,), shape(y))
assert shape(z) == (nz,), \
"_check_xyzv: x has shape %s, expected z to be %s, " \
"not %s" % (shape(x), (nz,), shape(z))
return x, y, z, v
def _check_xyz(*args, **kwargs):
nargs = len(args)
if nargs == 1:
x, y = [None]*2
z = asarray(args[0])
elif nargs == 3:
x, y, z = [asarray(a) for a in args]
else:
raise TypeError("_check_xyz: wrong number of arguments")
try:
nx, ny = shape(z)
except:
raise ValueError("z must be 2D, not %dD" % len(shape(z)))
indexing = kwargs.get('indexing', 'ij')
if x is None and y is None:
if indexing == 'ij':
nx, ny = ny, nx # swap
x, y = meshgrid(range(ny), range(nx), indexing=indexing)
else:
if indexing == 'ij':
assert shape(x) == (nx,ny) or shape(x) == (nx,1) or len(x) == nx, \
"_check_xyz: x has shape %s, expected %s, %s, or %s" % \
(shape(x), (nx,ny), (nx,1), (nx,))
assert shape(y) == (nx,ny) or shape(y) == (1,ny) or len(y) == ny, \
"_check_xyz: y has shape %s, expected %s, %s, or %s" % \
(shape(y), (nx,ny), (1,ny), (ny,))
else:
assert shape(x) == (nx,ny) or shape(x) == (1,ny) or len(x) == ny, \
"_check_xyz: x has shape %s, expected %s, %s, or %s" % \
(shape(x), (nx,ny), (1,ny), (ny,))
assert shape(y) == (nx,ny) or shape(y) == (nx,1) or len(y) == nx, \
"_check_xyz: y has shape %s, expected %s, %s, or %s" % \
(shape(y), (nx,ny), (nx,1), (nx,))
return x, y, z
def _check_xyuv(*args, **kwargs):
nargs = len(args)
if nargs == 2:
x, y = [None]*2
u, v = [asarray(a) for a in args]
elif nargs == 4:
x, y, u, v = [asarray(a) for a in args]
else:
raise TypeError("_check_xyuv: wrong number of arguments")
indexing = kwargs.get('indexing', 'ij')
us = shape(u)
assert us == shape(v), "_check_xyuv: u and v must be of same shape"
if len(us) == 1:
if x is None and y is None:
x = range(us[0])
y = range(us[0])
else:
assert shape(x) == us, \
"_check_xyuv: x has shape %s, expected %s" % (shape(x), us)
assert shape(y) == us, \
"_check_xyuv: y has shape %s, expected %s" % (shape(y), us)
elif len(us) == 2:
nx, ny = us
if x is None and y is None:
if indexing == 'ij':
x = seq(nx-1)
y = seq(ny-1)
else:
x = seq(ny-1)
y = seq(nx-1)
else:
if indexing == 'ij':
assert shape(x)==(nx,ny) or shape(x)==(nx,1) or \
shape(x)==(nx,), \
"_check_xyuv: x has shape %s, expected %s, %s, " \
"or %s" % (shape(x), (nx,ny), (nx,1), (nx,))
assert shape(y)==(nx,ny) or shape(y)==(1,ny) or \
shape(y)==(ny,), \
"_check_xyuv: y has shape %s, expected %s, %s, " \
"or %s" % (shape(y), (nx,ny), (1,ny), (ny,))
else:
assert shape(x)==(nx,ny) or shape(x)==(1,ny) or \
shape(x)==(ny,), \
"_check_xyuv: x has shape %s, expected %s, %s, " \
"or %s" % (shape(x), (nx,ny), (1,ny), (ny,))
assert shape(y)==(nx,ny) or shape(y)==(nx,1) or \
shape(y)==(nx,), \
"_check_xyuv: y has shape %s, expected %s, %s, " \
"or %s" % (shape(y), (nx,ny), (nx,1), (nx,))
else:
raise ValueError("_check_xyuv: u must be 1D or 2D, not %dD" % len(us))
return x, y, u, v
def _check_xyzuvw(*args, **kwargs):
nargs = len(args)
if nargs == 4:
x, y = [None]*2
z, u, v, w = [asarray(a) for a in args]
elif nargs == 6:
x, y, z, u, v, w = [asarray(a) for a in args]
else:
raise TypeError("_check_xyzuvw: wrong number of arguments")
indexing = kwargs.get('indexing', 'xy')
us = shape(u)
assert us == shape(v) == shape(w), \
"_check_xyzuvw: u, v, and w must be of same shape"
if len(us) == 1:
if x is None and y is None:
x = seq(us[0]-1)
y = seq(us[0]-1)
else:
assert shape(x) == us, \
"_check_xyuv: x has shape %s, expected %s" % (shape(x), us)
assert shape(y) == us, \
"_check_xyuv: y has shape %s, expected %s" % (shape(y), us)
assert shape(z) == us, \
"_check_xyuv: z has shape %s, expected %s" % (shape(z), us)
elif len(us) == 2:
nx, ny = us
if x is None and y is None:
x, y, z = _check_xyz(z, indexing=indexing)
else:
x, y, z = _check_xyz(x, y, z, indexing=indexing)
assert shape(z) == us, \
"_check_xyzuvw: z, u, v, and w must be of same shape"
elif len(us) == 3:
nx, ny, nz = us
if x is None and y is None:
if indexing == 'ij':
nx, ny = ny, nx # swap
x, y, junk = meshgrid(seq(ny-1), seq(nx-1), seq(nz-1))
else:
if indexing == 'ij':
assert shape(x)==us or shape(x)==(nx,1,1) or shape(x)==(nx,), \
"_check_xyzuvw: x has shape %s, expected %s, %s, or %s"\
% (shape(x), us, (nx,1,1), (nx,))
assert shape(y)==us or shape(y)==(1,ny,1) or shape(y)==(ny,), \
"_check_xyzuvw: y has shape %s, expected %s, %s, or %s"\
% (shape(y), us, (1,ny,1), (ny,))
else:
assert shape(x)==us or shape(x)==(1,ny,1) or shape(x)==(ny,), \
"_check_xyzuvw: x has shape %s, expected %s, %s, or %s"\
% (shape(x), us, (1,ny,1), (ny,))
assert shape(y)==us or shape(y)==(nx,1,1) or shape(y)==(nx,), \
"_check_xyzuvw: y has shape %s, expected %s, %s, or %s"\
% (shape(y), us, (nx,1,1), (nx,))
assert shape(z) == us or shape(z) == (1,1,nz) or shape(z) == (nz,), \
"_check_xyzuvw: z has shape %s, expected %s, %s, or %s" % \
(shape(z), us, (1,1,nz), (nz,))
else:
raise ValueError(
"_check_xyzuvw: u must be 1D, 2D, or 3D, not %dD" % len(us))
return x, y, z, u, v, w
def arrayconverter(a):
"""Convert the numpy array a with type 'numpy.ndarray' into a
Numeric.array object (type 'array'). This is useful when a
'numpy.ndarray' object is not accepted, which is the case in the
gnuplot module.
"""
if NumPy_type(a) == 'numpy':
import Numeric
return Numeric.array(a.tolist())
else:
return a
def _cmpPlotProperties(a,b):
"""Sort cmp-function for PlotProperties"""
plotorder = [Volume, Streams, Surface, Contours,
VelocityVectors, Bars, Line]
assert isinstance(a, PlotProperties)
assert isinstance(b, PlotProperties)
assert len(PlotProperties.__class__.__subclasses__(PlotProperties)) == \
len(plotorder) # Check all subclasses is in plotorder
return cmp(plotorder.index(a.__class__),plotorder.index(b.__class__))
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