# Coverage for pygeodesy/ellipsoidalBaseDI.py : 96%

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''' # make sure int/int division yields float quotient, see .basics from __future__ import division from pygeodesy.basics import isnear0, isnear1, isscalar, issubclassof from pygeodesy.ellipsoidalBase import LatLonEllipsoidalBase, Property_RO, \ property_RO, _TOL_M from pygeodesy.errors import _AssertionError, IntersectionError, _IsnotError, \ _ValueError, _xellipsoidal, _xError, _xkwds_not from pygeodesy.fmath import favg, fmean_, Fmt, fsum_ from pygeodesy.formy import opposing, _radical2 from pygeodesy.interns import EPS, PI, PI2, PI_4, _antipodal_, _COMMASPACE_, \ _concentric_, _exceed_PI_radians_, _near_, _no_, \ _SPACE_, _too_, _0_0, _0_5, _1_5, _3_0 from pygeodesy.lazily import _ALL_DOCS from pygeodesy.namedTuples import Bearing2Tuple, Destination2Tuple, \ Intersection3Tuple, NearestOn2Tuple, \ NearestOn8Tuple, _LL4Tuple # from pygeodesy.props import Property_RO, property_RO # from .ellipsoidalBase # from pygeodesy.streprs import Fmt # from .fmath from pygeodesy.units import _fi_j2, Height, Radius_, Scalar from pygeodesy.utily import m2km, unroll180, _unrollon, wrap90, wrap180, wrap360 from math import degrees, radians __all__ = () __version__ = '21.10.06' _polar__ = 'polar?' _tolerance_ = 'tolerance' _too_low_ = _too_('low') _B2END = _1_5 # _intersect3 bearing to pseudo-end point factor _TRIPS = 33 # _intersect3, _intersects2, _nearestOn interations, 6..9 sufficient? class LatLonEllipsoidalBaseDI(LatLonEllipsoidalBase): '''(INTERNAL) Base class for C{ellipsoidal*.LatLon} classes with I{overloaded} C{Direct} and C{Inverse} methods. ''' def bearingTo2(self, other, wrap=False): '''Compute the initial and final bearing (forward and reverse azimuth) from this to an other point, using this C{Inverse} method. See methods L{initialBearingTo} and L{finalBearingTo} for more details. @arg other: The other point (C{LatLon}). @kwarg wrap: Wrap and unroll longitudes (C{bool}). @return: A L{Bearing2Tuple}C{(initial, final)}. @raise TypeError: The B{C{other}} point is not C{LatLon}. @raise ValueError: If this and the B{C{other}} point's L{Datum} ellipsoids are not compatible. ''' r = self._Inverse(other, wrap) return Bearing2Tuple(r.initial, r.final, name=self.name) def destination(self, distance, bearing, height=None): '''Compute the destination point after having travelled for the given distance from this point along a geodesic given by an initial bearing, using this C{Direct} method. See method L{destination2} for more details. @arg distance: Distance (C{meter}). @arg bearing: Initial bearing in (compass C{degrees360}). @kwarg height: Optional height, overriding the default height (C{meter}, same units as C{distance}). @return: The destination point (C{LatLon}). ''' return self._Direct(distance, bearing, self.classof, height).destination def destination2(self, distance, bearing, height=None): '''Compute the destination point and the final bearing (reverse azimuth) after having travelled for the given distance from this point along a geodesic given by an initial bearing, using this C{Direct} method. The distance must be in the same units as this point's datum axes, conventionally C{meter}. The distance is measured on the surface of the ellipsoid, ignoring this point's height. The initial and final bearing (forward and reverse azimuth) are in compass C{degrees360}. The destination point's height and datum are set to this point's height and datum, unless the former is overridden. @arg distance: Distance (C{meter}). @arg bearing: Initial bearing (compass C{degrees360}). @kwarg height: Optional height, overriding the default height (C{meter}, same units as C{distance}). @return: A L{Destination2Tuple}C{(destination, final)}. ''' r = self._Direct(distance, bearing, self.classof, height) return self._xnamed(r) def _Direct(self, distance, bearing, LL, height): # overloaded by I{Vincenty} '''(INTERNAL) I{Karney}'s C{Direct} method. @return: A L{Destination2Tuple}C{(destination, final)} or a L{Destination3Tuple}C{(lat, lon, final)} if B{C{LL}} is C{None}. ''' g = self.geodesic r = g.Direct3(self.lat, self.lon, bearing, distance) if LL: r = self._Direct2Tuple(LL, height, r) return r def _Direct2Tuple(self, LL, height, r): '''(INTERNAL) Helper for C{._Direct} result L{Destination2Tuple}. ''' h = self.height if height is None else height d = LL(wrap90(r.lat), wrap180(r.lon), height=h, datum=self.datum, name=self.name, **_xkwds_not(None, epoch=self.epoch, reframe=self.reframe)) return Destination2Tuple(d, wrap360(r.final)) def distanceTo(self, other, wrap=False, **unused): # ignore radius=R_M '''Compute the distance between this and an other point along a geodesic, using this C{Inverse} method. See method L{distanceTo3} for more details. @arg other: The other point (C{LatLon}). @kwarg wrap: Wrap and unroll longitudes (C{bool}). @return: Distance (C{meter}). @raise TypeError: The B{C{other}} point is not C{LatLon}. @raise ValueError: If this and the B{C{other}} point's L{Datum} ellipsoids are not compatible. ''' return self._Inverse(other, wrap, azis=False).distance def distanceTo3(self, other, wrap=False): '''Compute the distance, the initial and final bearing along a geodesic between this and an other point, using this C{Inverse} method. The distance is in the same units as this point's datum axes, conventionally meter. The distance is measured on the surface of the ellipsoid, ignoring this point's height. The initial and final bearing (forward and reverse azimuth) are in compass C{degrees360} from North. @arg other: Destination point (C{LatLon}). @kwarg wrap: Wrap and unroll longitudes (C{bool}). @return: A L{Distance3Tuple}C{(distance, initial, final)}. @raise TypeError: The B{C{other}} point is not C{LatLon}. @raise ValueError: If this and the B{C{other}} point's L{Datum} ellipsoids are not compatible. ''' return self._xnamed(self._Inverse(other, wrap)) def finalBearingOn(self, distance, bearing): '''Compute the final bearing (reverse azimuth) after having travelled for the given distance along a geodesic given by an initial bearing from this point, using this C{Direct} method. See method L{destination2} for more details. @arg distance: Distance (C{meter}). @arg bearing: Initial bearing (compass C{degrees360}). @return: Final bearing (compass C{degrees360}). ''' return self._Direct(distance, bearing, None, None).final def finalBearingTo(self, other, wrap=False): '''Compute the final bearing (reverse azimuth) after having travelled along a geodesic from this point to an other point, using this C{Inverse} method. See method L{distanceTo3} for more details. @arg other: The other point (C{LatLon}). @kwarg wrap: Wrap and unroll longitudes (C{bool}). @return: Final bearing (compass C{degrees360}). @raise TypeError: The B{C{other}} point is not C{LatLon}. @raise ValueError: If this and the B{C{other}} point's L{Datum} ellipsoids are not compatible. ''' return self._Inverse(other, wrap).final @Property_RO def geodesic(self): # overloaded by I{Karney}'s, N/A for I{Vincenty} '''N/A, invalid (C{None} I{always}). ''' return None # PYCHOK no cover def initialBearingTo(self, other, wrap=False): '''Compute the initial bearing (forward azimuth) to travel along a geodesic from this point to an other point, using this C{Inverse} method. See method L{distanceTo3} for more details. @arg other: The other point (C{LatLon}). @kwarg wrap: Wrap and unroll longitudes (C{bool}). @return: Initial bearing (compass C{degrees360}). @raise TypeError: The B{C{other}} point is not C{LatLon}. @raise ValueError: If this and the B{C{other}} point's L{Datum} ellipsoids are not compatible. ''' return self._Inverse(other, wrap).initial def intermediateTo(self, other, fraction, height=None, wrap=False): '''Return the point at given fraction along the geodesic between this and an other point, using this C{Direct} and C{Inverse} methods. @arg other: The other point (C{LatLon}). @arg fraction: Fraction between both points (C{scalar}, 0.0 at this and 1.0 at the other point. @kwarg height: Optional height, overriding the fractional height (C{meter}). @kwarg wrap: Wrap and unroll longitudes (C{bool}). @return: Intermediate point (C{LatLon}). @raise TypeError: The B{C{other}} point is not C{LatLon}. @raise UnitError: Invalid B{C{fraction}} or B{C{height}}. @raise ValueError: If this and the B{C{other}} point's L{Datum} ellipsoids are not compatible. @see: Methods L{distanceTo3} and L{destination}. ''' f = Scalar(fraction=fraction) if isnear0(f): r = self elif isnear1(f) and not wrap: r = self.others(other) else: # negative fraction OK t = self.distanceTo3(other, wrap=wrap) h = self._havg(other, f=f) if height is None else Height(height) r = self.destination(t.distance * f, t.initial, height=h) return r def _Inverse(self, other, wrap, **unused): # azis=False, overloaded by I{Vincenty} '''(INTERNAL) I{Karney}'s C{Inverse} method. @return: A L{Distance3Tuple}C{(distance, initial, final)}. @raise TypeError: The B{C{other}} point is not L{LatLon}. @raise ValueError: If this and the B{C{other}} point's L{Datum} ellipsoids are not compatible. ''' _ = self.ellipsoids(other) g = self.geodesic _, lon = unroll180(self.lon, other.lon, wrap=wrap) return g.Inverse3(self.lat, self.lon, other.lat, lon) def nearestOn8(self, points, closed=False, height=None, wrap=False, equidistant=None, tol=_TOL_M): '''Iteratively locate the point on a path or polygon closest to this point. @arg points: The path or polygon points (C{LatLon}[]). @kwarg closed: Optionally, close the polygon (C{bool}). @kwarg height: Optional height, overriding the height of this and all other points (C{meter}, conventionally). If B{C{height}} is C{None}, the height of each point is taken into account for distances. @return: A L{NearestOn8Tuple}C{(closest, distance, fi, j, start, end, initial, final)} with C{distance} in C{meter}, conventionally and with the C{closest}, the C{start} the C{end} point each an instance of this C{LatLon}. @raise PointsError: Insufficient number of B{C{points}}. @raise TypeError: Some B{C{points}} or B{C{equidistant}} invalid. @raise ValueError: Some B{C{points}}' datum or ellipsoid incompatible or no convergence for the given B{C{tol}}. @see: Function L{pygeodesy.nearestOn6} and method C{nearestOn6}. ''' D3 = self.distanceTo3 # Distance3Tuple try: Ps = self.PointsIter(points, loop=1) p1 = c = s = e = Ps[0] _ = self.ellipsoids(p1) c3 = D3(c, wrap=wrap) # XXX wrap=False? except (TypeError, ValueError) as x: raise _xError(x, Fmt.SQUARE(points=0), p1, this=self, tol=tol, closed=closed, height=height, wrap=wrap) # get the azimuthal equidistant projection, once A = _Equidistant00(equidistant, c) b = _Box(c, c3.distance) m = f = i = 0 # p1..p2 == points[i]..[j] kwds = dict(within=True, height=height, tol=tol, LatLon=self.classof, # this LatLon datum=self.datum, epoch=self.epoch, reframe=self.reframe) try: for j, p2 in Ps.enumerate(closed=closed): if wrap and j != 0: p2 = _unrollon(p1, p2) # skip edge if no overlap with box around closest if j < 4 or b.overlaps(p1.lat, p1.lon, p2.lat, p2.lon): p, t, _ = _nearestOn3_(self, p1, p2, A, **kwds) d3 = D3(p, wrap=False) # already unrolled if d3.distance < c3.distance: c3, c, s, e, f = d3, p, p1, p2, (i + t) b = _Box(c, c3.distance) m = max(m, c.iteration) p1, i = p2, j except (TypeError, ValueError) as x: raise _xError(x, Fmt.SQUARE(points=i), p1, Fmt.SQUARE(points=j), p2, this=self, tol=tol, closed=closed, height=height, wrap=wrap) f, j = _fi_j2(f, len(Ps)) # like .vector3d.nearestOn6 n = self.nearestOn8.__name__ c.rename(n) if s is not c: s = s.copy(name=n) if e is not c: e = e.copy(name=n) r = NearestOn8Tuple(c, c3.distance, f, j, s, e, c3.initial, c3.final) r._iteration = m # ._iteration for tests return r class _Box(object): '''Bounding box around a C{LatLon} point. @see: Function C{_box4} in .clipy.py. ''' def __init__(self, center, distance): '''New L{_Box} around point. @arg center: The center point (C{LatLon}). @arg distance: Radius, half-size of the box (C{meter}, conventionally) ''' E = center.ellipsoid() d = degrees(distance / max(E.a, E.b)) + _0_5 # some margin self._N = center.lat + d self._S = center.lat - d self._E = center.lon + d self._W = center.lon - d def overlaps(self, lat1, lon1, lat2, lon2): '''Check whether this box overlaps a line between 2 points. @arg lat1: Latitude of first point (C{degrees}). @arg lon1: Longitude of first point (C{degrees}). @arg lat2: Latitude of second point (C{degrees}). @arg lon2: Longitude of second point (C{degrees}). @return: C{False} if there is certainly no overlap, C{True} otherwise (C{bool}). ''' non_ = ((lat1 > self._N or lat2 < self._S) if lat1 < lat2 else (lat2 > self._N or lat1 < self._S)) or \ ((lon1 > self._E or lon2 < self._W) if lon1 < lon2 else (lon2 > self._E or lon1 < self._W)) return not non_ class _Tol(object): '''Handle a tolerance in C{meter} as C{degrees} and C{meter}. ''' _deg = 0 _lat = 0 _m = 0 _r = 0 def __init__(self, tol_m, E, lat, *lats): '''New L{_Tol}. @arg tol_m: Tolerance (C{meter}, only). @arg E: Earth ellispoid (L{Ellipsoid}). @arg lat: Latitude (C{degrees}). @arg lats: Additional latitudes (C{degrees}). ''' if lats: lat = fmean_(lat, *lats) self._lat = lat self._m = max(EPS, tol_m) self._r = max(EPS, E.rocMean(lat)) self._deg = max(EPS, degrees(self._m / self._r)) # avoid m2degrees! @property_RO def degrees(self): '''Get this tolerance in C{degrees}. ''' return self._deg def degrees2m(self, deg): '''Convert B{C{deg}} to meter at the same C{lat} and earth radius. ''' return self.radius * radians(deg) / PI2 # avoid degrees2m! def degError(self, deg, Error=_ValueError): '''Compose an error with C{deg}rees minimum. ''' return self.mError(self.degrees2m(deg), Error=Error) @property_RO def lat(self): '''Get the mean latitude in C{degrees}. ''' return self._lat def mError(self, m, Error=_ValueError): '''Compose an error with C{m}eter minimum. ''' t = _SPACE_(_tolerance_, Fmt.PAREN(Fmt.g(self.meter)), _too_low_) if m2km(m) > self.meter: t = _COMMASPACE_(t, _antipodal_, _near_(_polar__)) return Error(_no_(Fmt.convergence(m)), txt=t) @property_RO def meter(self): '''Get this tolerance in C{meter}. ''' return self._m @property_RO def radius(self): '''Get the earth radius in C{meter}. ''' return self._r def _Equidistant00(equidistant, p1): '''(INTERNAL) Get an C{Equidistant*(0, 0, ...)} instance. ''' if equidistant is None or not callable(equidistant): equidistant = p1.Equidistant else: from pygeodesy.azimuthal import _Equidistants if not issubclassof(equidistant, *_Equidistants): # PYCHOK no cover t = tuple(_.__name__ for _ in _Equidistants) raise _IsnotError(*t, equidistant=equidistant) return equidistant(0, 0, p1.datum) def _intersect3(s1, end1, s2, end2, height=None, wrap=True, # MCCABE 16 equidistant=None, tol=_TOL_M, LatLon=None, **LatLon_kwds): '''(INTERNAL) Intersect two (ellipsoidal) path, see ellipsoidal method L{intersection3}, separated to allow callers to embellish any exceptions. ''' from pygeodesy.sphericalTrigonometry import _intersect as _si, LatLon as _LLS from pygeodesy.vector3d import _intersect3d3 as _vi3 def _b_d(s, e, w, t, h=_0_0): # compute opposing and distance t = s.classof(t.lat, t.lon, height=h, name=t.name) t = s.distanceTo3(t, wrap=w) # Distance3Tuple b = opposing(e, t.initial) # "before" start return b, t.distance def _b_e(s, e, w, t): # compute an end point along the initial bearing # about 1.5 times the distance to the gu-/estimate, at # least 1/8 and at most 3/8 of the earth perimeter like # radians in .sphericalTrigonometry._int3d2 and bearing # comparison in .sphericalTrigonometry._intb b, d = _b_d(s, e, w, t, h=t.height) m = s.ellipsoid().R2x * PI_4 # authalic exact d = min(max(d * _B2END, m), m * _3_0) e = s.destination(d, e) return b, (_unrollon(s, e) if w else e) def _e_ll(s, e, w, **end): # return 2-tuple (end, False if bearing else True) ll = not isscalar(e) if ll: e = s.others(**end) if w: # unroll180 == .karney._unroll2 e = _unrollon(s, e) return e, ll def _o(o, b, n, s, t, e): # determine C{o}utside before, on or after start point if not o: # intersection may be on start from pygeodesy.latlonBase import _isequalTo if _isequalTo(s, t, eps=e.degrees): return o return -n if b else n E = s1.ellipsoids(s2) e1, ll1 = _e_ll(s1, end1, wrap, end1=end1) e2, ll2 = _e_ll(s2, end2, wrap, end2=end2) e = _Tol(tol, E, s1.lat, (e1.lat if ll1 else s1.lat), s2.lat, (e2.lat if ll2 else s2.lat)) # get the azimuthal equidistant projection A = _Equidistant00(equidistant, s1) # gu-/estimate initial intersection, spherically ... t = _si(_LLS(s1.lat, s1.lon, height=s1.height), (_LLS(e1.lat, e1.lon, height=e1.height) if ll1 else e1), _LLS(s2.lat, s2.lon, height=s2.height), (_LLS(e2.lat, e2.lon, height=e2.height) if ll2 else e2), height=height, wrap=False, LatLon=_LLS) # unrolled already h, n = t.height, t.name if not ll1: b1, e1 = _b_e(s1, e1, wrap, t) if not ll2: b2, e2 = _b_e(s2, e2, wrap, t) # ... and iterate as Karney describes, @see: # LatLonEllipsoidalBase.LatLon.intersections2 c = m = None # force first d == c to False for i in range(1, _TRIPS): A.reset(t.lat, t.lon) # gu-/estimate as origin # convert start and end points to projection # space and compute an intersection there v, o1, o2 = _vi3(A.forward(s1.lat, s1.lon), A.forward(e1.lat, e1.lon), A.forward(s2.lat, s2.lon), A.forward(e2.lat, e2.lon), eps=e.meter, useZ=False) # convert intersection back to geodetic t, d = A._reverse2(v.x, v.y) # break if below tolerance or if unchanged if d < e.degrees or d == c: t._iteration = i break if m is None or m > d: m = d # min tol in degrees c = d else: raise e.degError(m, Error=IntersectionError) # like .sphericalTrigonometry._intersect, if this intersection # is "before" the first point, use the antipodal intersection if not (ll1 or ll2): # end1 and end2 are an initial bearing b1, _ = _b_d(s1, end1, wrap, t) if b1: t = t.antipodal() b1 = not b1 b2, _ = _b_d(s2, end2, wrap, t) r = _LL4Tuple(t.lat, t.lon, h, t.datum, LatLon, LatLon_kwds, inst=s1, name=n) r._iteration = t._iteration # _NamedTuple._iteration return Intersection3Tuple(r, (o1 if ll1 else _o(o1, b1, 1, s1, t, e)), (o2 if ll2 else _o(o2, b2, 2, s2, t, e))) def _intersection3(start1, end1, start2, end2, height=None, wrap=True, equidistant=None, tol=_TOL_M, LatLon=None, **LatLon_kwds): '''(INTERNAL) Iteratively compute the intersection point of two paths, each defined by two (ellipsoidal) points or an (ellipsoidal) start point and an initial bearing from North. ''' s1 = _xellipsoidal(start1=start1) s2 = s1.others(start2=start2) try: return _intersect3(s1, end1, s2, end2, height=height, wrap=wrap, equidistant=equidistant, tol=tol, LatLon=LatLon, **LatLon_kwds) except (TypeError, ValueError) as x: raise _xError(x, start1=start1, end1=end1, start2=start2, end2=end2) def _intersections2(center1, radius1, center2, radius2, height=None, wrap=True, equidistant=None, tol=_TOL_M, LatLon=None, **LatLon_kwds): '''(INTERNAL) Iteratively compute the intersection points of two circles, each defined by an (ellipsoidal) center point and a radius. ''' c1 = _xellipsoidal(center1=center1) c2 = c1.others(center2=center2) try: return _intersects2(c1, radius1, c2, radius2, height=height, wrap=wrap, equidistant=equidistant, tol=tol, LatLon=LatLon, **LatLon_kwds) except (TypeError, ValueError) as x: raise _xError(x, center1=center1, radius1=radius1, center2=center2, radius2=radius2) def _intersects2(c1, radius1, c2, radius2, height=None, wrap=True, # MCCABE 16 equidistant=None, tol=_TOL_M, LatLon=None, **LatLon_kwds): '''(INTERNAL) Intersect two (ellipsoidal) circles, see L{_intersections2} above, separated to allow callers to embellish any exceptions. ''' from pygeodesy.sphericalTrigonometry import _intersects2 as _si2, LatLon as _LLS from pygeodesy.vector3d import _intersects2 as _vi2 def _latlon4(t, h, n, c): r = _LL4Tuple(t.lat, t.lon, h, t.datum, LatLon, LatLon_kwds, inst=c, name=n) r._iteration = t.iteration # ._iteration for tests return r r1 = Radius_(radius1=radius1) r2 = Radius_(radius2=radius2) E = c1.ellipsoids(c2) # get the azimuthal equidistant projection A = _Equidistant00(equidistant, c1) if r1 < r2: c1, c2 = c2, c1 r1, r2 = r2, r1 if r1 > (min(E.b, E.a) * PI): raise _ValueError(_exceed_PI_radians_) if wrap: # unroll180 == .karney._unroll2 c2 = _unrollon(c1, c2) # distance between centers and radii are # measured along the ellipsoid's surface m = c1.distanceTo(c2, wrap=False) # meter if m < max(r1 - r2, EPS): raise IntersectionError(_near_(_concentric_)) if fsum_(r1, r2, -m) < 0: raise IntersectionError(_too_(Fmt.distant(m))) f = _radical2(m, r1, r2).ratio # "radical fraction" e = _Tol(tol, E, favg(c1.lat, c2.lat, f=f)) # gu-/estimate initial intersections, spherically ... t1, t2 = _si2(_LLS(c1.lat, c1.lon, height=c1.height), r1, _LLS(c2.lat, c2.lon, height=c2.height), r2, radius=e.radius, height=height, wrap=False, too_d=m) # unrolled already h, n = t1.height, t1.name # ... and iterate as Karney describes, @see: # LatLonEllipsoidalBase.LatLon.intersections2 ts, ta = [], None for t in ((t1,) if t1 is t2 else (t1, t2)): c = m = None # force first d == c to False for i in range(1, _TRIPS): A.reset(t.lat, t.lon) # gu-/estimate as origin # convert centers to projection space t1 = A.forward(c1.lat, c1.lon) t2 = A.forward(c2.lat, c2.lon) # compute intersections in projection space v1, v2 = _vi2(t1, r1, # XXX * t1.scale?, t2, r2, # XXX * t2.scale?, sphere=False, too_d=m) # convert intersections back to geodetic t1, d1 = A._reverse2(v1.x, v1.y) if v1 is v2: # abutting t, d = t1, d1 # PYCHOK no cover else: t2, d2 = A._reverse2(v2.x, v2.y) # consider only the closer intersection t, d = (t1, d1) if d1 < d2 else (t2, d2) # break if below tolerance or if unchanged if d < e.degrees or d == c: t._iteration = i # _NamedTuple._iteration ts.append(t) if v1 is v2: # abutting ta = t # PYCHOK no coves break c = d if m is None or m > d: m = d # min tol in degrees else: raise e.degError(m, Error=IntersectionError) if ta: # abutting circles pass # PYCHOK no cover elif len(ts) == 2: return (_latlon4(ts[0], h, n, c1), _latlon4(ts[1], h, n, c2)) elif len(ts) == 1: # PYCHOK no cover ta = ts[0] # assume abutting else: # PYCHOK no cover raise _AssertionError(ts=ts) r = _latlon4(ta, h, n, c1) return r, r def _nearestOn2(p, point1, point2, within=True, height=None, wrap=True, equidistant=None, tol=_TOL_M, **LatLon_and_kwds): '''(INTERNAL) Closest point and fraction, like L{_intersects2} above, separated to allow callers to embellish any exceptions. ''' p1 = p.others(point1=point1) p2 = p.others(point2=point2) _ = p.ellipsoids(p1) # E = p.ellipsoids(p2) # done in __nearestOn2__ # get the azimuthal equidistant projection A = _Equidistant00(equidistant, p) if wrap: p1 = _unrollon(p, p1) # XXX do not unroll? p2 = _unrollon(p, p2) # XXX do not unroll? p2 = _unrollon(p1, p2) r, f, e = _nearestOn3_(p, p1, p2, A, within=within, height=height, tol=tol, **LatLon_and_kwds) return NearestOn2Tuple(r, f) def _nearestOn3_(p, p1, p2, A, within=True, height=None, tol=_TOL_M, LatLon=None, **LatLon_kwds): # Only function C{_nearestOn2} and method C{nearestOn8} above from pygeodesy.sphericalNvector import LatLon as _LLS from pygeodesy.vector3d import _nearestOn2 as _vnOn2, Vector3d def _v3d(t, h): return Vector3d(t.x, t.y, h) E = p.ellipsoids(p2) e = _Tol(tol, E, p.lat, p1.lat, p2.lat) # gu-/estimate initial nearestOn, spherically ... wrap=False, only! # using sphericalNvector.LatLon.nearestOn for within=False support t = _LLS(p.lat, p.lon, height=p.height).nearestOn( _LLS(p1.lat, p1.lon, height=p1.height), _LLS(p2.lat, p2.lon, height=p2.height), within=within, height=height) n, h = t.name, t.height if height is None: h1 = p1.height # use heights as pseudo-Z in projection space h2 = p2.height # to be included in the closest function h0 = favg(h1, h2) else: # ignore heights in distances, Z=0 h0 = h1 = h2 = _0_0 # ... and iterate as Karney describes, @see: # LatLonEllipsoidalBase.LatLon.intersections2 c = m = f = None # force first d == c to False # closest to origin, .z to interpolate height vp = Vector3d(_0_0, _0_0, h0) for i in range(1, _TRIPS): A.reset(t.lat, t.lon) # gu-/estimate as origin # convert points to projection space # and compute the nearest one there v, f = _vnOn2(vp, _v3d(A.forward(p1.lat, p1.lon), h1), _v3d(A.forward(p2.lat, p2.lon), h2), within=within) # convert nearest one back to geodetic t, d = A._reverse2(v.x, v.y) # break if below tolerance or if unchanged if d < e.degrees or d == c: t._iteration = i # _NamedTuple._iteration break c = d if m is None or m > d: m = d # min tol in degrees else: raise e.degError(m) if height is None: h = v.z # nearest elif isscalar(height): h = height r = _LL4Tuple(t.lat, t.lon, h, t.datum, LatLon, LatLon_kwds, inst=p, name=n) r._iteration = t.iteration # for tests return r, f, e # fraction or None __all__ += _ALL_DOCS(LatLonEllipsoidalBaseDI) # **) MIT License # # Copyright (C) 2016-2022 -- mrJean1 at Gmail -- All Rights Reserved. # # Permission is hereby granted, free of charge, to any person obtaining a # copy of this software and associated documentation files (the "Software"), # to deal in the Software without restriction, including without limitation # the rights to use, copy, modify, merge, publish, distribute, sublicense, # and/or sell copies of the Software, and to permit persons to whom the # Software is furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included # in all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS # OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL # THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR # OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, # ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR # OTHER DEALINGS IN THE SOFTWARE.