def _all(globalocals):
from pygeodesy.interns import NN as _NN, _attribute_, _COMMASPACE_, \
_DOT_, _module_, _s_ # PYCHOK expected
from pygeodesy.streprs import Fmt as _Fmt # PYCHOK expected
# collect all public module and attribute names and check
# that modules are imported from this package, 'pygeodesy'
# (but the latter only when not bundled with PyInstaller or
# Py2Exe, since the file-layout is different. Courtesy of
# GilderGeek<https://GitHub.com/mrJean1/PyGeodesy/issues/31>)
ns = list(lazily._ALL_INIT)
# XXX ps = () if _isfrozen else set([_pygeodesy_] + __name__.split(_DOT_))
for mod, attrs in lazily._ALL_LAZY.enums():
if mod not in globalocals:
t = _DOT_(_pygeodesy_, mod)
raise ImportError('missing %s%s: %s' % (_module_, _NN, t))
ns.append(mod)
# check that all other public attributes do exist
if attrs and isinstance(attrs, tuple):
t = tuple(a for a in attrs if a not in globalocals)
if t:
s = _Fmt.SQUARE(_s_, len(t)) if len(t) > 1 else _NN
t = _COMMASPACE_.join(
_DOT_(_pygeodesy_, mod, a) for a in t)
raise ImportError('missing %s%s: %s' % (_attribute_, s, t))
ns.extend(attrs)
# XXX if ps: # check that mod is a _pygeodesy_ module
# XXX m = globalocals[mod] # assert(m.__name__ == mod)
# XXX f = getattr(m, '__file__', _NN)
# XXX d = dirname(abspath(f)) if f else pygeodesy_abspath
# XXX p = getattr(m, '__package__', _NN) or _pygeodesy_
# XXX if p not in ps or d != pygeodesy_abspath:
# XXX raise ImportError('foreign module: %s from %r' % (_DOT_(p, mod), f or p))
return tuple(set(ns)) # remove duplicates
def __setitem__(self, key, value):
'''Set item B{C{key}} to B{C{value}}.
'''
if key == _name_:
raise KeyError(
_EQUAL_(Fmt.SQUARE(self.classname, key), repr(value)))
dict.__setitem__(self, key, value)
def latlon(self, latlonh):
'''Set the lat- and longitude and optionally the height.
@arg latlonh: New lat-, longitude and height (2- or
3-tuple of C{degrees} and C{meter}).
@raise TypeError: Height of B{C{latlonh}} not C{scalar} or
B{C{latlonh}} not C{list} or C{tuple}.
@raise ValueError: Invalid B{C{latlonh}} or M{len(latlonh)}.
@see: Function L{parse3llh} to parse a B{C{latlonh}} string
into a 3-tuple (lat, lon, h).
'''
_xinstanceof(list, tuple, latlonh=latlonh)
if len(latlonh) == 3:
h = Height(latlonh[2], name=Fmt.SQUARE(latlonh=2))
elif len(latlonh) != 2:
raise _ValueError(latlonh=latlonh)
else:
h = self._height
lat = Lat(latlonh[0]) # parseDMS2(latlonh[0], latlonh[1])
lon = Lon(latlonh[1])
self._update(lat != self._lat or
lon != self._lon or h != self._height)
self._lat, self._lon, self._height = lat, lon, h
def __init__(self, knots, weight=None, name=NN):
'''New L{HeightLSQBiSpline} interpolator.
@arg knots: The points with known height (C{LatLon}s).
@kwarg weight: Optional weight or weights for each B{C{knot}}
(C{scalar} or C{scalar}s).
@kwarg name: Optional name for this height interpolator (C{str}).
@raise HeightError: Insufficient number of B{C{knots}} or
an invalid B{C{knot}} or B{C{weight}}.
@raise LenError: Unequal number of B{C{knots}} and B{C{weight}}s.
@raise ImportError: Package C{numpy} or C{scipy} not found
or not installed.
@raise SciPyError: A C{LSQSphereBivariateSpline} issue.
@raise SciPyWarning: A C{LSQSphereBivariateSpline} warning
as exception.
'''
np, spi = self._NumSciPy()
xs, ys, hs = self._xyhs3(knots)
n = len(hs)
w = weight
if isscalar(w):
w = float(w)
if w <= 0:
raise HeightError(weight=w)
w = [w] * n
elif w is not None:
m, w = len2(w)
if m != n:
raise LenError(HeightLSQBiSpline, weight=m, knots=n)
w = map2(float, w)
m = min(w)
if m <= 0:
raise HeightError(Fmt.SQUARE(weight=w.find(m)), m)
try:
T = 1.0e-4 # like SciPy example
ps = np.array(_ordedup(xs, T, PI2 - T))
ts = np.array(_ordedup(ys, T, PI - T))
self._ev = spi.LSQSphereBivariateSpline(ys,
xs,
hs,
ts,
ps,
eps=EPS,
w=w).ev
except Exception as x:
raise _SciPyIssue(x)
if name:
self.name = name
def _points2(self, points):
'''(INTERNAL) Check a set of points.
'''
np, ps = Hausdorff._points2(self, points)
for i, p in enumerate(ps):
if not callable(getattr(p, _distanceTo_, None)):
raise HausdorffError(Fmt.SQUARE(_points_, i),
p,
txt=_distanceTo_)
return np, ps
def _xyhs(lls, off=True, name='llis'):
# map (lat, lon, h) to (x, y, h) in radians, offset as
# x: 0 <= lon <= PI2, y: 0 <= lat <= PI if off is True
# else x: -PI <= lon <= PI, y: -PI_2 <= lat <= PI_2
if off:
xf = yf = _0_0
else: # undo offset
xf, yf = PI, PI_2
try:
for i, ll in enumerate(lls):
yield (max(0.0, radiansPI2(ll.lon + 180.0)) - xf), \
(max(0.0, radiansPI( ll.lat + 90.0)) - yf), ll.height
except AttributeError as x:
raise HeightError(Fmt.SQUARE(name, i), ll, txt=str(x))
def _validate(self, _OK=False): # see .EcefMatrix
'''(INTERNAL) One-time check of C{_Names_} and C{_Units_}
for each C{_NamedUnit} I{sub-class separately}.
'''
ns = self._Names_
if not (isinstance(ns, tuple) and len(ns) > 1): # XXX > 0
raise _TypeError(_DOT_(self.classname, _Names_), ns)
for i, n in enumerate(ns):
if not _xvalid(n, _OK=_OK):
t = Fmt.SQUARE(_Names_, i)
raise _ValueError(_DOT_(self.classname, t), n)
us = self._Units_
if not isinstance(us, tuple):
raise _TypeError(_DOT_(self.classname, _Units_), us)
if len(us) != len(ns):
raise LenError(self.__class__, _Units_=len(us), _Names_=len(ns))
for i, u in enumerate(us):
if not (u is None or callable(u)):
t = Fmt.SQUARE(_Units_, i)
raise _TypeError(_DOT_(self.classname, t), u)
self.__class__._validated = True
def add(self, key, value, *values):
'''Add C{[key] = value}, typically C{[attr] = mod}.
@raise AssertionError: The B{C{key}} already
exists with different
B{C{value}}.
'''
if key in self:
val = self[key] # duplicate OK
if val != value and val not in values: # PYCHOK no cover
from pygeodesy.streprs import Fmt as _Fmt
t = _Fmt.SQUARE(_imports_, key), val, value
raise AssertionError('%s: %r, not %r' % t)
else:
self[key] = value
def __call__(self,
lo,
hi,
prec=0,
lopen=False,
ropen=False,
join=_COMMASPACE_):
'''Return the range as C{"(lo, hi)"}, C{"(lo, hi]"},
C{"[lo, hi)"} or C{"[lo, hi]"}.
'''
from pygeodesy.streprs import Fmt # PYCHOK re-imported
r = NN(Fmt.f(lo, prec=prec), join, Fmt.f(hi, prec=prec))
if lopen:
r = Fmt.PAREN(r) if ropen else Fmt.LOPEN(r)
else:
r = Fmt.ROPEN(r) if ropen else Fmt.SQUARE(r)
return r
def __init__(self, knots, beta=2, name=NN, **distanceTo_kwds):
'''New L{HeightIDWdistanceTo} interpolator.
@arg knots: The points with known height (C{LatLon}s).
@kwarg beta: Inverse distance power (C{int} 1, 2, or 3).
@kwarg name: Optional name for this height interpolator (C{str}).
@kwarg distanceTo_kwds: Optional keyword arguments for the
B{C{points}}' C{LatLon.distanceTo}
method.
@raise HeightError: Insufficient number of B{C{knots}} or
an invalid B{C{knot}} or B{C{beta}}.
@raise ImportError: Package U{geographiclib
<https://PyPI.org/project/geographiclib>} missing
iff B{C{points}} are L{ellipsoidalKarney.LatLon}s.
@note: All B{C{points}} I{must} be instances of the same
ellipsoidal or spherical C{LatLon} class, I{not
checked however}.
'''
n, self._ks = len2(knots)
if n < self._kmin:
raise _insufficientError(self._kmin, knots=n)
for i, k in enumerate(self._ks):
if not callable(getattr(k, _distanceTo_, None)):
raise HeightError(Fmt.SQUARE(_knots_, i), k, txt=_distanceTo_)
# use knots[0] class and datum to create
# compatible points in _HeightBase._height
# instead of class LatLon_ and datum None
self._datum = self._ks[0].datum
self._LLis = self._ks[0].classof
self.beta = beta
if name:
self.name = name
if distanceTo_kwds:
self._distanceTo_kwds = distanceTo_kwds
def points2(points, closed=True, base=None, Error=PointsError):
'''Check a path or polygon represented by points.
@arg points: The path or polygon points (C{LatLon}[])
@kwarg closed: Optionally, consider the polygon closed,
ignoring any duplicate or closing final
B{C{points}} (C{bool}).
@kwarg base: Optionally, check all B{C{points}} against
this base class, if C{None} don't check.
@kwarg Error: Exception to raise (C{ValueError}).
@return: A L{Points2Tuple}C{(number, points)} with the number
of points and the points C{list} or C{tuple}.
@raise PointsError: Insufficient number of B{C{points}}.
@raise TypeError: Some B{C{points}} are not B{C{base}}
compatible.
'''
n, points = len2(points)
if closed:
# remove duplicate or closing final points
while n > 1 and points[n-1] in (points[0], points[n-2]):
n -= 1
# XXX following line is unneeded if points
# are always indexed as ... i in range(n)
points = points[:n] # XXX numpy.array slice is a view!
if n < (3 if closed else 1):
raise Error(points=n, txt=_too_(_few_))
if base and not (isNumpy2(points) or isTuple2(points)):
for i in range(n):
base.others(points[i], name=Fmt.SQUARE(points=i))
return Points2Tuple(n, points)
def fidw(xs, ds, beta=2):
'''Interpolate using using U{Inverse Distance Weighting
<https://WikiPedia.org/wiki/Inverse_distance_weighting>} (IDW).
@arg xs: Known values (C{scalar}[]).
@arg ds: Non-negative distances (C{scalar}[]).
@kwarg beta: Inverse distance power (C{int}, 0, 1, 2, or 3).
@return: Interpolated value C{x} (C{float}).
@raise LenError: Unequal or zero C{len(B{ds})} and C{len(B{xs})}.
@raise ValueError: Invalid B{C{beta}}, negative B{C{ds}} value,
weighted B{C{ds}} below L{EPS}.
@note: Using C{B{beta}=0} returns the mean of B{C{xs}}.
'''
n, xs = len2(xs)
d, ds = len2(ds)
if n != d or n < 1:
raise LenError(fidw, xs=n, ds=d)
d, x = min(zip(ds, xs))
if d > EPS and n > 1:
b = -Int_(beta=beta, low=0, high=3)
if b < 0:
ds = tuple(d**b for d in ds)
d = fsum(ds)
if d < EPS:
raise _ValueError(ds=d)
x = fdot(xs, *ds) / d
else:
x = fmean(xs)
elif d < 0:
raise _ValueError(Fmt.SQUARE(ds=ds.index(d)), d)
return x
def _xy2(lls):
try: # like _xyhs above, but keeping degrees
for i, ll in enumerate(lls):
yield ll.lon, ll.lat
except AttributeError as x:
raise HeightError(Fmt.SQUARE(llis=i), ll, txt=str(x))
def _Error(i):
return WGRSError(Fmt.SQUARE(georef=i), georef)
def __getitem__(self, key):
'''Get the value of an item by B{C{key}}.
'''
if key == _name_:
raise KeyError(Fmt.SQUARE(self.classname, key))
return dict.__getitem__(self, key)
def _Error(i):
return GARSError(garef=Fmt.SQUARE(repr(garef), i))
