# Coverage for pygeodesy/points.py : 96%

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1822 1823 1824 1825 1826 1827 1828 1829 1830 1831 1832 1833 1834 1835 1836 1837 1838 1839 1840 1841 1842 1843 1844 1845 1846 1847 1848 1849 1850 1851 1852 1853 1854 1855 1856 1857 1858 1859 1860 1861 1862 1863 1864 1865 1866 1867 1868 1869 1870 1871 1872 1873 1874 1875 1876 1877 1878 1879 1880 1881 1882 1883 1884 1885 1886 | # -*- coding: utf-8 -*- u'''Utilities for point lists, tuples, etc. Functions to handle collections and sequences of C{LatLon} points specified as 2-d U{NumPy<https://www.NumPy.org>}, C{arrays} or tuples as C{LatLon} or as C{pseudo-x/-y} pairs. C{NumPy} arrays are assumed to contain rows of points with a lat-, a longitude -and possibly other- values in different columns. While iterating over the array rows, create an instance of a given C{LatLon} class "on-the-fly" for each row with the row's lat- and longitude. The original C{NumPy} array is read-accessed only and never duplicated, except to return a I{subset} of the original array. For example, to process a C{NumPy} array, wrap the array by instantiating class L{Numpy2LatLon} and specifying the column index for the lat- and longitude in each row. Then, pass the L{Numpy2LatLon} instance to any L{pygeodesy} function or method accepting a I{points} argument. Similarly, class L{Tuple2LatLon} is used to instantiate a C{LatLon} from each 2+tuple in a sequence of such 2+tuples using the C{ilat} lat- and C{ilon} longitude index in each 2+tuple. ''' from pygeodesy.basics import isclass, isint, isnear0, isnear1, isscalar, \ issequence, issubclassof, map1, _Sequence, \ _umod_360, _xcopy, _xdup, _xinstanceof from pygeodesy.datums import _spherical_datum from pygeodesy.dms import F_D, latDMS, lonDMS, parseDMS2, S_DEG, S_DMS, \ S_MIN, S_SEC, S_SEP from pygeodesy.errors import CrossError, crosserrors, _IndexError, \ _IsnotError, _TypeError, _ValueError, \ _xkwds, _xkwds_pop from pygeodesy.fmath import favg, fdot, Fsum, fsum, hypot # from pygeodesy.fsums import Fsum, fsum # from .fmath from pygeodesy.formy import _bearingTo2, equirectangular_, latlon2n_xyz from pygeodesy.interns import EPS, EPS1, NN, PI_2, R_M, \ _colinear_, _COMMASPACE_, _DEQUALSPACED_, \ _ELLIPSIS_, _height_, _immutable_, _lat_, \ _lon_, _near_, _not_, _point_, _SPACE_, \ _UNDER_, _valid_, _0_0, _0_5, _1_0, _3_0, \ _90_0, _N_90_0, _180_0, _360_0 from pygeodesy.iters import LatLon2PsxyIter, PointsIter, points2 from pygeodesy.lazily import _ALL_DOCS, _ALL_LAZY, _ALL_MODS as _MODS from pygeodesy.named import classname, nameof, notImplemented, notOverloaded, \ _NamedTuple, _xnamed, _xother3, _xotherError from pygeodesy.namedTuples import Bounds2Tuple, Bounds4Tuple, \ LatLon2Tuple, NearestOn3Tuple, \ NearestOn5Tuple, PhiLam2Tuple, \ Point3Tuple, Vector3Tuple, Vector4Tuple from pygeodesy.nvectorBase import NvectorBase, _N_vector_ from pygeodesy.props import deprecated_method, Property_RO, property_doc_, \ property_RO from pygeodesy.streprs import Fmt, hstr, instr, pairs from pygeodesy.units import Number_, Radius, Scalar, Scalar_ from pygeodesy.utily import atan2b, degrees90, degrees180, degrees2m, \ unroll180, unrollPI, wrap90, wrap180 from math import cos, fmod, radians, sin __all__ = _ALL_LAZY.points __version__ = '22.06.26' _fin_ = 'fin' _ilat_ = 'ilat' _ilon_ = 'ilon' _ncols_ = 'ncols' _nrows_ = 'nrows' class LatLon_(object): # XXX in heights._HeightBase.height '''Low-overhead C{LatLon} class for L{Numpy2LatLon} and L{Tuple2LatLon}. ''' # __slots__ efficiency is voided if the __slots__ class attribute # is used in a subclass of a class with the traditional __dict__, # see <https://docs.Python.org/2/reference/datamodel.html#slots> # and __slots__ must be repeated in sub-classes, see "Problems # with __slots__" in Luciano Ramalho, "Fluent Python", page # 276+, O'Reilly, 2016, also at <https://Books.Google.ie/ # books?id=bIZHCgAAQBAJ&lpg=PP1&dq=fluent%20python&pg= # PT364#v=onepage&q=“Problems%20with%20__slots__”&f=false> # # __slots__ = (_lat_, _lon_, _height_, _datum_, _name_) # Property_RO = property_RO # no __dict__ with __slots__! # # However, sys.getsizeof(LatLon_(1, 2)) is 72-88 with __slots__ # but only 48-64 bytes without in Python 2.7.18+ and Python 3+. def __init__(self, lat, lon, name=NN, height=0, datum=None): '''Creat a new, mininal, low-overhead L{LatLon_} instance, without height and datum. @arg lat: Latitude (C{degrees}). @arg lon: Longitude (C{degrees}). @kwarg name: Optional name (C{str}). @kwarg height: Optional height (C{float} or C{int}). @kwarg datum: Optional datum (L{Datum}, L{Ellipsoid}, L{Ellipsoid2}, L{a_f2Tuple} or I{scalar} radius) or C{None}. @raise TypeError: Invalid B{C{datum}}. @note: The lat- and longitude are taken as-given, un-clipped and un-validated . ''' try: # most common use case self.lat, self.lon = float(lat), float(lon) # Lat(lat), Lon(lon) except (TypeError, ValueError): self.lat, self.lon = parseDMS2(lat, lon, clipLat=0, clipLon=0) # PYCHOK LatLon2Tuple self.name = str(name) if name else NN self.height = height self.datum = datum if datum is None else \ _spherical_datum(datum, name=self.name) def __eq__(self, other): return isinstance(other, LatLon_) and \ other.lat == self.lat and \ other.lon == self.lon def __ne__(self, other): return not self.__eq__(other) def __repr__(self): return self.toRepr() def __str__(self): return self.toStr() def classof(self, *args, **kwds): '''Instantiate this very class. @arg args: Optional, positional arguments. @kwarg kwds: Optional, keyword arguments. @return: New instance (C{self.__class__}). ''' return _xnamed(self.__class__(*args, **kwds), self.name) def copy(self, deep=False): '''Make a shallow or deep copy of this instance. @kwarg deep: If C{True} make a deep, otherwise a shallow copy (C{bool}). @return: The copy (C{This} (sub-)class). ''' return _xcopy(self, deep=deep) def dup(self, **items): '''Duplicate this instance, replacing some items. @kwarg items: Attributes to be changed (C{any}). @return: The duplicate (C{This} (sub-)class). @raise AttributeError: Some B{C{items}} invalid. ''' return _xdup(self, **items) def heightStr(self, prec=-2): '''Return a string for the height B{C{height}}. @kwarg prec: Number of (decimal) digits, unstripped (C{int}). @see: Function L{pygeodesy.hstr}. ''' return hstr(self.height, prec=prec) def intermediateTo(self, other, fraction, height=None, wrap=False): '''Locate the point at a given fraction between (or along) this and an other point. @arg other: The other point (C{LatLon}). @arg fraction: Fraction between both points (C{float}, 0.0 for this and 1.0 for the other point). @kwarg height: Optional height (C{meter}), overriding the intermediate height. @kwarg wrap: Wrap and unroll longitudes (C{bool}). @return: Intermediate point (this C{LatLon}). @raise TypeError: Incompatible B{C{other}} C{type}. ''' f = Scalar(fraction=fraction) if isnear0(f): r = self elif isnear1(f) and not wrap: r = self.others(other) else: r = self.others(other) h = favg(self.height, r.height, f=f) if height is None else height _, lon = unroll180(self.lon, r.lon, wrap=wrap) r = self.classof(favg(self.lat, r.lat, f=f), favg(self.lon, lon, f=f), height=h, datum=self.datum, name=self.intermediateTo.__name__) return r @Property_RO # PYCHOK no cover def isEllipsoidal(self): '''Check whether this point is ellipsoidal (C{bool} or C{None} if unknown). ''' return self.datum.isEllipsoidal if self.datum else None @Property_RO # PYCHOK no cover def isEllipsoidalLatLon(self): '''Get C{LatLon} base. ''' return False def isequalTo(self, other, eps=None): '''Compare this point with an other point, I{ignoring} height. @arg other: The other point (C{LatLon}). @kwarg eps: Tolerance for equality (C{degrees}). @return: C{True} if both points are identical, I{ignoring} height, C{False} otherwise. @raise UnitError: Invalid B{C{eps}}. ''' self.others(other) if eps: return max(abs(self.lat - other.lat), abs(self.lon - other.lon)) < Scalar_(eps=eps) else: return self.lat == other.lat and \ self.lon == other.lon @Property_RO def isSpherical(self): # PYCHOK no cover '''Check whether this point is spherical (C{bool} or C{None} if unknown). ''' return self.datum.isSpherical if self.datum else None @Property_RO def latlon(self): '''Get the lat- and longitude in C{degrees} (L{LatLon2Tuple}C{(lat, lon)}). ''' return LatLon2Tuple(self.lat, self.lon, name=self.name) @Property_RO def latlonheight(self): '''Get the lat-, longitude and height (L{LatLon3Tuple}C{(lat, lon, height)}). ''' return self.latlon.to3Tuple(self.height) @Property_RO def _N_vector(self): '''(INTERNAL) Get the minimal, low-overhead (C{nvectorBase._N_vector_}) ''' return _N_vector_(*latlon2n_xyz(self.lat, self.lon), h=self.height, name=self.name) def others(self, *other, **name_other_up): # see .named._namedBase.others '''Refined class comparison. @arg other: The other instance (any C{type}). @kwarg name_other_up: Overriding C{name=other} and C{up=1} keyword arguments. @return: The B{C{other}} if compatible. @raise TypeError: Incompatible B{C{other}} C{type}. ''' other, name, up = _xother3(self, other, **name_other_up) if isinstance(other, self.__class__) or (hasattr(other, _lat_) and hasattr(other, _lon_)): return other raise _xotherError(self, other, name=name, up=up + 1) @Property_RO def philam(self): '''Get the lat- and longitude in C{radians} (L{PhiLam2Tuple}C{(phi, lam)}). ''' return PhiLam2Tuple(radians(self.lat), radians(self.lon), name=self.name) @Property_RO def philamheight(self): '''Get the lat-, longitude in C{radians} and height (L{PhiLam3Tuple}C{(phi, lam, height)}). ''' return self.philam.to3Tuple(self.height) @deprecated_method def points(self, points, closed=False, base=None): # PYCHOK no cover '''DEPRECATED, use method C{points2}.''' return points2(points, closed=closed, base=base) def points2(self, points, closed=False, base=None): '''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. @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}}. ''' return points2(points, closed=closed, base=base) def PointsIter(self, points, loop=0, dedup=False): '''Return a points iterator. @arg points: The path or polygon points (C{LatLon}[]) @kwarg loop: Number of loop-back points (non-negative C{int}). @kwarg dedup: Skip duplicate points (C{bool}). @return: A new C{PointsIter} iterator. @raise PointsError: Insufficient number of B{C{points}}. ''' return PointsIter(points, loop=loop, base=self, dedup=dedup) @deprecated_method def to2ab(self): # PYCHOK no cover '''DEPRECATED, use property L{philam}.''' return self.philam def toNvector(self, h=None, Nvector=NvectorBase, **Nvector_kwds): '''Convert this point to C{n-vector} (normal to the earth's surface) components, I{including height}. @kwarg h: Optional height, overriding this point's height (C{meter}). @kwarg Nvector: Optional class to return the C{n-vector} components (C{Nvector}) or C{None}. @kwarg Nvector_kwds: Optional, additional B{C{Nvector}} keyword arguments, ignored if C{B{Nvector} is None}. @return: The C{n-vector} components B{C{Nvector}} or if B{C{Nvector}} is C{None}, a L{Vector4Tuple}C{(x, y, z, h)}. @raise TypeError: Invalid B{C{Nvector}} or B{C{Nvector_kwds}} argument. ''' x, y, z = latlon2n_xyz(self.lat, self.lon) r = Vector4Tuple(x, y, z, self.height if h is None else h) if Nvector is not None: r = Nvector(x, y, z, **_xkwds(Nvector_kwds, h=r.h, ll=self)) return _xnamed(r, self.name) def toRepr(self, **kwds): '''This L{LatLon_} as a string "class(<degrees>, ...)". @kwarg kwds: Optional, keyword arguments. @return: Class instance (C{str}). ''' _ = _xkwds_pop(kwds, std=None) # PYCHOK std unused return Fmt.PAREN(classname(self), self.toStr(**kwds)) def toStr(self, form=F_D, joined=_COMMASPACE_, **prec_sep_s_D_M_S_kwds): '''Convert this point to a "lat, lon[, height][, name][, ...]" string, formatted in the given C{B{form}at}. @kwarg form: The lat-/longitude C{B{form}at} to use (C{str}), see functions L{pygeodesy.latDMS} or L{pygeodesy.lonDMS}. @kwarg joined: Separator to join the lat-, longitude, heigth, name and other strings (C{str} or C{None} or C{NN} for non-joined). @kwarg prec_sep_s_D_M_S_kwds: Optional C{B{prec}ision}, C{B{sep}arator}, B{C{s_D}}, B{C{s_M}}, B{C{s_S}}, B{C{s_DMS}} and possibly other keyword arguments, see functions L{pygeodesy.latDMS} or L{pygeodesy.lonDMS}. @return: This point in the specified C{B{form}at}, etc. (C{str} or a 2- or 3+tuple C{(lat_str, lon_str[, height_str][, name_str][, ...])} if C{B{joined}=NN} or C{B{joined}=None} and with the C{height_str} and C{name_str} only included if non-zero respectively non-empty). @see: Function L{pygeodesy.latDMS} or L{pygeodesy.lonDMS} for more details about keyword arguments C{B{form}at}, C{B{prec}ision}, C{B{sep}arator}, B{C{s_D}}, B{C{s_M}}, B{C{s_S}} and B{C{s_DMS}}. ''' def _t3(prec=None, sep=S_SEP, s_D=S_DEG, s_M=S_MIN, s_S=S_SEC, s_DMS=S_DMS, **kwds): return dict(prec=prec, sep=sep, s_D=s_D, s_M=s_M, s_S=s_S, s_DMS=s_DMS), kwds, prec prec_sep_s_D_M_S, kwds, prec = _t3(**prec_sep_s_D_M_S_kwds) t = (latDMS(self.lat, form=form, **prec_sep_s_D_M_S), lonDMS(self.lon, form=form, **prec_sep_s_D_M_S)) if self.height: t += (self.heightStr(),) if self.name: t += (repr(self.name),) if kwds: t += pairs(kwds) if prec is None else pairs(kwds, prec=prec) return joined.join(t) if joined else t @deprecated_method def toStr2(self, **kwds): # PYCHOK no cover '''DEPRECATED, used method L{toRepr}.''' return self.toRepr(**kwds) def _isLatLon(inst): '''(INTERNAL) Check a C{LatLon} or C{LatLon_} instance. ''' return isinstance(inst, (LatLon_, _MODS.latlonBase.LatLonBase)) def _isLatLon_(LL): '''(INTERNAL) Check a (sub-)class of C{LatLon_}. ''' return issubclassof(LL, LatLon_) or (isclass(LL) and all(hasattr(LL, a) for a in _ALL_ATTRS_)) # get all pseudo-slots for class C{LatLon_} _ALL_ATTRS_ = tuple(LatLon_(0, 0).__dict__.keys()) class _Basequence(_Sequence): # immutable, on purpose '''(INTERNAL) Base class. ''' _array = [] _epsilon = EPS _itemname = _point_ def _contains(self, point): '''(INTERNAL) Check for a matching point. ''' return any(self._findall(point, ())) def copy(self, deep=False): # PYCHOK no cover '''Make a shallow or deep copy of this instance. @kwarg deep: If C{True} make a deep, otherwise a shallow copy (C{bool}). @return: The copy (C{This class} or subclass thereof). ''' return _xcopy(self, deep=deep) def _count(self, point): '''(INTERNAL) Count the number of matching points. ''' return sum(1 for _ in self._findall(point, ())) # NOT len()! def dup(self, **items): # PYCHOK no cover '''Duplicate this instance, I{without replacing items}. @kwarg items: No attributes (I{not allowed}). @return: The duplicate (C{This} (sub-)class). @raise TypeError: Any B{C{items}} invalid. ''' if items: t = _SPACE_(classname(self), _immutable_) raise _TypeError(txt=t, this=self, **items) return _xdup(self) @property_doc_(''' the equality tolerance (C{float}).''') def epsilon(self): '''Get the tolerance for equality tests (C{float}). ''' return self._epsilon @epsilon.setter # PYCHOK setter! def epsilon(self, tol): '''Set the tolerance for equality tests (C{scalar}). @raise TypeError: Non-scalar B{C{tol}}. @raise ValueError: Out-of-bounds B{C{tol}}. ''' self._epsilon = Scalar_(tol, name='tolerance') def _find(self, point, start_end): '''(INTERNAL) Find the first matching point index. ''' for i in self._findall(point, start_end): return i return -1 def _findall(self, point, start_end): # PYCHOK no cover '''(INTERNAL) I{Must be implemented/overloaded}. ''' notImplemented(self, point, start_end) def _getitem(self, index): '''(INTERNAL) Return point [index] or return a slice. ''' # Luciano Ramalho, "Fluent Python", page 290+, O'Reilly, 2016 if isinstance(index, slice): # XXX an numpy.[nd]array slice is a view, not a copy return self.__class__(self._array[index], **self._slicekwds()) else: return self.point(self._array[index]) def _index(self, point, start_end): '''(INTERNAL) Find the first matching point index. ''' for i in self._findall(point, start_end): return i raise _IndexError(self._itemname, point, txt=_not_('found')) @property_RO def isNumpy2(self): # PYCHOK no cover '''Is this a Numpy2 wrapper? ''' return False # isinstance(self, (Numpy2LatLon, ...)) @property_RO def isPoints2(self): # PYCHOK no cover '''Is this a LatLon2 wrapper/converter? ''' return False # isinstance(self, (LatLon2psxy, ...)) @property_RO def isTuple2(self): # PYCHOK no cover '''Is this a Tuple2 wrapper? ''' return False # isinstance(self, (Tuple2LatLon, ...)) def _iter(self): '''(INTERNAL) Yield all points. ''' _array, point = self._array, self.point for i in range(len(self)): yield point(_array[i]) def point(self, *attrs): # PYCHOK no cover '''(INTERNAL) I{Must be overloaded}, see function C{notOverloaded}. @arg attrs: Optional arguments. ''' notOverloaded(self, *attrs) def _range(self, start=None, end=None, step=1): '''(INTERNAL) Return the range. ''' if step > 0: if start is None: start = 0 if end is None: end = len(self) elif step < 0: if start is None: start = len(self) - 1 if end is None: end = -1 else: raise _ValueError(step=step) return range(start, end, step) def _repr(self): '''(INTERNAL) Return a string representation. ''' # XXX use Python 3+ reprlib.repr t = repr(self._array[:1]) # only first row t = _SPACE_(t[:-1], _ELLIPSIS_, Fmt.SQUARE(t[-1:], len(self))) t = _SPACE_.join(t.split()) # coalesce spaces return instr(self, t, **self._slicekwds()) def _reversed(self): # PYCHOK false '''(INTERNAL) Yield all points in reverse order. ''' _array, point = self._array, self.point for i in range(len(self) - 1, -1, -1): yield point(_array[i]) def _rfind(self, point, start_end): '''(INTERNAL) Find the last matching point index. ''' def _r3(start=None, end=None, step=-1): return (start, end, step) # PYCHOK returns for i in self._findall(point, _r3(*start_end)): return i return -1 def _slicekwds(self): # PYCHOK no cover '''(INTERNAL) I{Should be overloaded}. ''' return {} class _Array2LatLon(_Basequence): # immutable, on purpose '''(INTERNAL) Base class for Numpy2LatLon or Tuple2LatLon. ''' _array = () _ilat = 0 # row column index _ilon = 0 # row column index _LatLon = LatLon_ # default _shape = () def __init__(self, array, ilat=0, ilon=1, LatLon=None, shape=()): '''Handle a C{NumPy} or C{Tuple} array as a sequence of C{LatLon} points. ''' ais = (_ilat_, ilat), (_ilon_, ilon) if len(shape) != 2 or shape[0] < 1 or shape[1] < len(ais): raise _IndexError('array.shape', shape) self._array = array self._shape = Shape2Tuple(shape) # *shape if LatLon: # check the point class if not _isLatLon_(LatLon): raise _IsnotError(_valid_, LatLon=LatLon) self._LatLon = LatLon # check the attr indices for n, (ai, i) in enumerate(ais): if not isint(i): raise _IsnotError(int.__name__, **{ai: i}) i = int(i) if not 0 <= i < shape[1]: raise _ValueError(ai, i) for aj, j in ais[:n]: if int(j) == i: raise _ValueError(_DEQUALSPACED_(ai, aj, i)) setattr(self, NN(_UNDER_, ai), i) def __contains__(self, latlon): '''Check for a specific lat-/longitude. @arg latlon: Point (C{LatLon}, L{LatLon2Tuple} or 2-tuple C{(lat, lon)}). @return: C{True} if B{C{latlon}} is present, C{False} otherwise. @raise TypeError: Invalid B{C{latlon}}. ''' return self._contains(latlon) def __getitem__(self, index): '''Return row[index] as C{LatLon} or return a L{Numpy2LatLon} slice. ''' return self._getitem(index) def __iter__(self): '''Yield rows as C{LatLon}. ''' return self._iter() def __len__(self): '''Return the number of rows. ''' return self._shape[0] def __repr__(self): '''Return a string representation. ''' return self._repr() def __reversed__(self): # PYCHOK false '''Yield rows as C{LatLon} in reverse order. ''' return self._reversed() __str__ = __repr__ def count(self, latlon): '''Count the number of rows with a specific lat-/longitude. @arg latlon: Point (C{LatLon}, L{LatLon2Tuple} or 2-tuple C{(lat, lon)}). @return: Count (C{int}). @raise TypeError: Invalid B{C{latlon}}. ''' return self._count(latlon) def find(self, latlon, *start_end): '''Find the first row with a specific lat-/longitude. @arg latlon: Point (C{LatLon}) or 2-tuple (lat, lon). @arg start_end: Optional C{[start[, end]]} index (integers). @return: Index or -1 if not found (C{int}). @raise TypeError: Invalid B{C{latlon}}. ''' return self._find(latlon, start_end) def _findall(self, latlon, start_end): '''(INTERNAL) Yield indices of all matching rows. ''' try: lat, lon = latlon.lat, latlon.lon except AttributeError: try: lat, lon = latlon except (TypeError, ValueError): raise _IsnotError(_valid_, latlon=latlon) _ilat, _ilon = self._ilat, self._ilon _array, _eps = self._array, self._epsilon for i in self._range(*start_end): row = _array[i] if abs(row[_ilat] - lat) <= _eps and \ abs(row[_ilon] - lon) <= _eps: yield i def findall(self, latlon, *start_end): '''Yield indices of all rows with a specific lat-/longitude. @arg latlon: Point (C{LatLon}, L{LatLon2Tuple} or 2-tuple C{(lat, lon)}). @arg start_end: Optional C{[start[, end]]} index (C{int}). @return: Indices (C{iterable}). @raise TypeError: Invalid B{C{latlon}}. ''' return self._findall(latlon, start_end) def index(self, latlon, *start_end): # PYCHOK Python 2- issue '''Find index of the first row with a specific lat-/longitude. @arg latlon: Point (C{LatLon}, L{LatLon2Tuple} or 2-tuple C{(lat, lon)}). @arg start_end: Optional C{[start[, end]]} index (C{int}). @return: Index (C{int}). @raise IndexError: Point not found. @raise TypeError: Invalid B{C{latlon}}. ''' return self._index(latlon, start_end) @Property_RO def ilat(self): '''Get the latitudes column index (C{int}). ''' return self._ilat @Property_RO def ilon(self): '''Get the longitudes column index (C{int}). ''' return self._ilon # next = __iter__ def point(self, row): # PYCHOK *attrs '''Instantiate a point C{LatLon}. @arg row: Array row (numpy.array). @return: Point (C{LatLon}). ''' return self._LatLon(row[self._ilat], row[self._ilon]) def rfind(self, latlon, *start_end): '''Find the last row with a specific lat-/longitude. @arg latlon: Point (C{LatLon}, L{LatLon2Tuple} or 2-tuple C{(lat, lon)}). @arg start_end: Optional C{[start[, end]]} index (C{int}). @note: Keyword order, first stop, then start. @return: Index or -1 if not found (C{int}). @raise TypeError: Invalid B{C{latlon}}. ''' return self._rfind(latlon, start_end) def _slicekwds(self): '''(INTERNAL) Slice kwds. ''' return dict(ilat=self._ilat, ilon=self._ilon) @Property_RO def shape(self): '''Get the shape of the C{NumPy} array or the C{Tuples} as L{Shape2Tuple}C{(nrows, ncols)}. ''' return self._shape def _subset(self, indices): # PYCHOK no cover '''(INTERNAL) I{Must be implemented/overloaded}. ''' notImplemented(self, indices) def subset(self, indices): '''Return a subset of the C{NumPy} array. @arg indices: Row indices (C{range} or C{int}[]). @note: A C{subset} is different from a C{slice} in 2 ways: (a) the C{subset} is typically specified as a list of (un-)ordered indices and (b) the C{subset} allocates a new, separate C{NumPy} array while a C{slice} is just an other C{view} of the original C{NumPy} array. @return: Sub-array (C{numpy.array}). @raise IndexError: Out-of-range B{C{indices}} value. @raise TypeError: If B{C{indices}} is not a C{range} nor an C{int}[]. ''' if not issequence(indices, tuple): # NO tuple, only list # and range work properly to get Numpy array sub-sets raise _IsnotError(_valid_, indices=type(indices)) n = len(self) for i, v in enumerate(indices): if not isint(v): raise _TypeError(Fmt.SQUARE(indices=i), v) elif not 0 <= v < n: raise _IndexError(Fmt.SQUARE(indices=i), v) return self._subset(indices) class LatLon2psxy(_Basequence): '''Wrapper for C{LatLon} points as "on-the-fly" pseudo-xy coordinates. ''' _closed = False _len = 0 _deg2m = None # default, keep degrees _radius = None _wrap = True def __init__(self, latlons, closed=False, radius=None, wrap=True): '''Handle C{LatLon} points as pseudo-xy coordinates. @note: The C{LatLon} latitude is considered the I{pseudo-y} and longitude the I{pseudo-x} coordinate, likewise for L{LatLon2Tuple}. However, 2-tuples C{(x, y)} are considered as I{(longitude, latitude)}. @arg latlons: Points C{list}, C{sequence}, C{set}, C{tuple}, etc. (C{LatLon[]}). @kwarg closed: Optionally, close the polygon (C{bool}). @kwarg radius: Mean earth radius (C{meter}). @kwarg wrap: Wrap lat- and longitudes (C{bool}). @raise PointsError: Insufficient number of B{C{latlons}}. @raise TypeError: Some B{C{points}} are not B{C{base}}. ''' self._closed = closed self._len, self._array = points2(latlons, closed=closed) if radius: self._radius = r = Radius(radius) self._deg2m = degrees2m(_1_0, r) self._wrap = wrap def __contains__(self, xy): '''Check for a matching point. @arg xy: Point (C{LatLon}, L{LatLon2Tuple} or 2-tuple C{(x, y)}) in (C{degrees}. @return: C{True} if B{C{xy}} is present, C{False} otherwise. @raise TypeError: Invalid B{C{xy}}. ''' return self._contains(xy) def __getitem__(self, index): '''Return the pseudo-xy or return a L{LatLon2psxy} slice. ''' return self._getitem(index) def __iter__(self): '''Yield all pseudo-xy's. ''' return self._iter() def __len__(self): '''Return the number of pseudo-xy's. ''' return self._len def __repr__(self): '''Return a string representation. ''' return self._repr() def __reversed__(self): # PYCHOK false '''Yield all pseudo-xy's in reverse order. ''' return self._reversed() __str__ = __repr__ def count(self, xy): '''Count the number of matching points. @arg xy: Point (C{LatLon}, L{LatLon2Tuple} or 2-tuple C{(x, y)}) in (C{degrees}. @return: Count (C{int}). @raise TypeError: Invalid B{C{xy}}. ''' return self._count(xy) def find(self, xy, *start_end): '''Find the first matching point. @arg xy: Point (C{LatLon}, L{LatLon2Tuple} or 2-tuple C{(x, y)}) in (C{degrees}. @arg start_end: Optional C{[start[, end]]} index (C{int}). @return: Index or -1 if not found (C{int}). @raise TypeError: Invalid B{C{xy}}. ''' return self._find(xy, start_end) def _findall(self, xy, start_end): '''(INTERNAL) Yield indices of all matching points. ''' try: x, y = xy.lon, xy.lat def _x_y_ll3(ll): # match LatLon return ll.lon, ll.lat, ll except AttributeError: try: x, y = xy[:2] except (IndexError, TypeError, ValueError): raise _IsnotError(_valid_, xy=xy) _x_y_ll3 = self.point # PYCHOK expected _array, _eps = self._array, self._epsilon for i in self._range(*start_end): xi, yi, _ = _x_y_ll3(_array[i]) if abs(xi - x) <= _eps and \ abs(yi - y) <= _eps: yield i def findall(self, xy, *start_end): '''Yield indices of all matching points. @arg xy: Point (C{LatLon}, L{LatLon2Tuple} or 2-tuple C{(x, y)}) in (C{degrees}. @arg start_end: Optional C{[start[, end]]} index (C{int}). @return: Indices (C{iterator}). @raise TypeError: Invalid B{C{xy}}. ''' return self._findall(xy, start_end) def index(self, xy, *start_end): # PYCHOK Python 2- issue '''Find the first matching point. @arg xy: Point (C{LatLon}) or 2-tuple (x, y) in (C{degrees}). @arg start_end: Optional C{[start[, end]]} index (C{int}). @return: Index (C{int}). @raise IndexError: Point not found. @raise TypeError: Invalid B{C{xy}}. ''' return self._index(xy, start_end) @property_RO def isPoints2(self): '''Is this a LatLon2 wrapper/converter? ''' return True # isinstance(self, (LatLon2psxy, ...)) def point(self, ll): # PYCHOK *attrs '''Create a pseudo-xy. @arg ll: Point (C{LatLon}). @return: An L{Point3Tuple}C{(x, y, ll)}. ''' x, y = ll.lon, ll.lat # note, x, y = lon, lat if self._wrap: x, y = wrap180(x), wrap90(y) d = self._deg2m if d: # convert degrees to meter (or radians) x *= d y *= d return Point3Tuple(x, y, ll) def rfind(self, xy, *start_end): '''Find the last matching point. @arg xy: Point (C{LatLon}, L{LatLon2Tuple} or 2-tuple C{(x, y)}) in (C{degrees}. @arg start_end: Optional C{[start[, end]]} index (C{int}). @return: Index or -1 if not found (C{int}). @raise TypeError: Invalid B{C{xy}}. ''' return self._rfind(xy, start_end) def _slicekwds(self): '''(INTERNAL) Slice kwds. ''' return dict(closed=self._closed, radius=self._radius, wrap=self._wrap) class Numpy2LatLon(_Array2LatLon): # immutable, on purpose '''Wrapper for C{NumPy} arrays as "on-the-fly" C{LatLon} points. ''' def __init__(self, array, ilat=0, ilon=1, LatLon=None): '''Handle a C{NumPy} array as a sequence of C{LatLon} points. @arg array: C{NumPy} array (C{numpy.array}). @kwarg ilat: Optional index of the latitudes column (C{int}). @kwarg ilon: Optional index of the longitudes column (C{int}). @kwarg LatLon: Optional C{LatLon} class to use (L{LatLon_}). @raise IndexError: If B{C{array.shape}} is not (1+, 2+). @raise TypeError: If B{C{array}} is not a C{NumPy} array or C{LatLon} is not a class with C{lat} and C{lon} attributes. @raise ValueError: If the B{C{ilat}} and/or B{C{ilon}} values are the same or out of range. @example: >>> type(array) <type 'numpy.ndarray'> # <class ...> in Python 3+ >>> points = Numpy2LatLon(array, lat=0, lon=1) >>> simply = simplifyRDP(points, ...) >>> type(simply) <type 'numpy.ndarray'> # <class ...> in Python 3+ >>> sliced = points[1:-1] >>> type(sliced) <class '...Numpy2LatLon'> ''' try: # get shape and check some other numpy.array attrs s, _, _ = array.shape, array.nbytes, array.ndim # PYCHOK expected except AttributeError: raise _IsnotError('NumPy', array=type(array)) _Array2LatLon.__init__(self, array, ilat=ilat, ilon=ilon, LatLon=LatLon, shape=s) @property_RO def isNumpy2(self): '''Is this a Numpy2 wrapper? ''' return True # isinstance(self, (Numpy2LatLon, ...)) def _subset(self, indices): return self._array[indices] # NumPy special class Shape2Tuple(_NamedTuple): '''2-Tuple C{(nrows, ncols)}, the number of rows and columns, both C{int}. ''' _Names_ = (_nrows_, _ncols_) _Units_ = ( Number_, Number_) class Tuple2LatLon(_Array2LatLon): '''Wrapper for tuple sequences as "on-the-fly" C{LatLon} points. ''' def __init__(self, tuples, ilat=0, ilon=1, LatLon=None): '''Handle a list of tuples, each containing a lat- and longitude and perhaps other values as a sequence of C{LatLon} points. @arg tuples: The C{list}, C{tuple} or C{sequence} of tuples (C{tuple}[]). @kwarg ilat: Optional index of the latitudes value (C{int}). @kwarg ilon: Optional index of the longitudes value (C{int}). @kwarg LatLon: Optional C{LatLon} class to use (L{LatLon_}). @raise IndexError: If C{(len(B{tuples}), min(len(t) for t in B{tuples}))} is not (1+, 2+). @raise TypeError: If B{C{tuples}} is not a C{list}, C{tuple} or C{sequence} or if B{C{LatLon}} is not a C{LatLon} with C{lat}, C{lon} and C{name} attributes. @raise ValueError: If the B{C{ilat}} and/or B{C{ilon}} values are the same or out of range. @example: >>> tuples = [(0, 1), (2, 3), (4, 5)] >>> type(tuples) <type 'list'> # <class ...> in Python 3+ >>> points = Tuple2LatLon(tuples, lat=0, lon=1) >>> simply = simplifyRW(points, 0.5, ...) >>> type(simply) <type 'list'> # <class ...> in Python 3+ >>> simply [(0, 1), (4, 5)] >>> sliced = points[1:-1] >>> type(sliced) <class '...Tuple2LatLon'> >>> sliced ...Tuple2LatLon([(2, 3), ...][1], ilat=0, ilon=1) >>> closest, _ = nearestOn2(LatLon_(2, 1), points, adjust=False) >>> closest LatLon_(lat=1.0, lon=2.0) >>> closest, _ = nearestOn2(LatLon_(3, 2), points) >>> closest LatLon_(lat=2.001162, lon=3.001162) ''' _xinstanceof(list, tuple, tuples=tuples) s = len(tuples), min(len(_) for _ in tuples) _Array2LatLon.__init__(self, tuples, ilat=ilat, ilon=ilon, LatLon=LatLon, shape=s) @property_RO def isTuple2(self): '''Is this a Tuple2 wrapper? ''' return True # isinstance(self, (Tuple2LatLon, ...)) def _subset(self, indices): return type(self._array)(self._array[i] for i in indices) def _area2(points, adjust, wrap): '''(INTERNAL) Approximate the area in radians squared, I{signed}. ''' if adjust: # approximate trapezoid by a rectangle, adjusting # the top width by the cosine of the latitudinal # average and bottom width by some fudge factor def _adjust(w, h): c = cos(h) if abs(h) < PI_2 else _0_0 return w * h * (c + 1.2876) * _0_5 else: def _adjust(w, h): # PYCHOK expected return w * h # setting radius=1 converts degrees to radians Ps = LatLon2PsxyIter(points, wrap=wrap, radius=_1_0, loop=1) x1, y1, ll = Ps[0] pts = [ll] A2 = Fsum() # trapezoidal area in radians**2 for i, p in Ps.enumerate(closed=True): x2, y2, ll = p if 0 < i < 4: pts.append(ll) w, x2 = unrollPI(x1, x2, wrap=wrap if i else False) A2 += _adjust(w, (y2 + y1) * _0_5) x1, y1 = x2, y2 return A2.fsum(), tuple(pts) def _areaError(pts, near_=NN): # imported by .ellipsoidalKarney '''(INTERNAL) Area issue. ''' t = _ELLIPSIS_(pts[:3], NN) return _ValueError(NN(near_, 'zero or polar area'), txt=t) def areaOf(points, adjust=True, radius=R_M, wrap=True): '''Approximate the area of a polygon. @arg points: The polygon points (C{LatLon}[]). @kwarg adjust: Adjust the wrapped, unrolled longitudinal delta by the cosine of the mean latitude (C{bool}). @kwarg radius: Mean earth radius (C{meter}) or C{None}. @kwarg wrap: Wrap lat-, wrap and unroll longitudes (C{bool}). @return: Approximate area (I{square} C{meter}, same units as B{C{radius}} or C{radians} I{squared} if B{C{radius}} is C{None}). @raise PointsError: Insufficient number of B{C{points}} @raise TypeError: Some B{C{points}} are not C{LatLon}. @raise ValueError: Invalid B{C{radius}}. @note: This area approximation has limited accuracy and is ill-suited for regions exceeding several hundred Km or Miles or with near-polar latitudes. @see: L{sphericalNvector.areaOf}, L{sphericalTrigonometry.areaOf}, L{ellipsoidalExact.areaOf} and L{ellipsoidalKarney.areaOf}. ''' a, _ = _area2(points, adjust, wrap) return abs(a) if radius is None else (abs(a) * Radius(radius)**2) def boundsOf(points, wrap=True, LatLon=None): '''Determine the lower-left SW and upper-right NE corners of a path or polygon. @arg points: The path or polygon points (C{LatLon}[]). @kwarg wrap: Wrap lat- and longitudes (C{bool}). @kwarg LatLon: Optional class to return the C{bounds} corners (C{LatLon}) or C{None}. @return: A L{Bounds2Tuple}C{(latlonSW, latlonNE)} as B{C{LatLon}}s if B{C{LatLon}} is C{None} a L{Bounds4Tuple}C{(latS, lonW, latN, lonE)}. @raise PointsError: Insufficient number of B{C{points}} @raise TypeError: Some B{C{points}} are not C{LatLon}. @see: Function L{quadOf}. @example: >>> b = LatLon(45,1), LatLon(45,2), LatLon(46,2), LatLon(46,1) >>> boundsOf(b) # False >>> 45.0, 1.0, 46.0, 2.0 ''' Ps = LatLon2PsxyIter(points, wrap=wrap, loop=1) lox, loy, _ = hix, hiy, _ = Ps[0] for x, y, _ in Ps.iterate(closed=False): # [1:] if lox > x: lox = x elif hix < x: hix = x if loy > y: loy = y elif hiy < y: hiy = y return Bounds4Tuple(loy, lox, hiy, hix) if LatLon is None else \ Bounds2Tuple(LatLon(loy, lox), LatLon(hiy, hix)) # PYCHOK inconsistent def centroidOf(points, wrap=True, LatLon=None): '''Determine the centroid of a polygon. @arg points: The polygon points (C{LatLon}[]). @kwarg wrap: Wrap lat-, wrap and unroll longitudes (C{bool}). @kwarg LatLon: Optional class to return the centroid (C{LatLon}) or C{None}. @return: Centroid (B{C{LatLon}}) or a L{LatLon2Tuple}C{(lat, lon)} if C{B{LatLon} is None}. @raise PointsError: Insufficient number of B{C{points}} @raise TypeError: Some B{C{points}} are not C{LatLon}. @raise ValueError: The B{C{points}} enclose a pole or near-zero area. @see: U{Centroid<https://WikiPedia.org/wiki/Centroid#Of_a_polygon>} and Paul Bourke's U{Calculating The Area And Centroid Of A Polygon <https://www.SEAS.UPenn.edu/~ese502/lab-content/extra_materials/ Polygon%20Area%20and%20Centroid.pdf>}, 1988. ''' A, X, Y = Fsum(), Fsum(), Fsum() # setting radius=1 converts degrees to radians Ps = LatLon2PsxyIter(points, wrap=wrap, radius=_1_0, loop=1) x1, y1, ll = Ps[0] pts = [ll] # for _areaError for i, p in Ps.enumerate(closed=True): x2, y2, ll = p if 0 < i < 4: pts.append(ll) if wrap and i != 0: _, x2 = unrollPI(x1, x2, wrap=wrap) t = x1 * y2 - x2 * y1 A += t X += t * (x1 + x2) Y += t * (y1 + y2) # XXX more elaborately: # t1, t2 = x1 * y2, -(x2 * y1) # A.fadd_(t1, t2) # X.fadd_(t1 * x1, t1 * x2, t2 * x1, t2 * x2) # Y.fadd_(t1 * y1, t1 * y2, t2 * y1, t2 * y2) x1, y1 = x2, y2 A = A.fmul(_3_0).fsum() # 6.0 / 2.0 if isnear0(A): raise _areaError(pts, near_=_near_) Y, X = degrees90(Y.fdiv(A).fsum()), degrees180(X.fdiv(A).fsum()) return LatLon2Tuple(Y, X) if LatLon is None else LatLon(Y, X) def fractional(points, fi, j=None, wrap=None, LatLon=None, Vector=None, **kwds): '''Return the point at a given I{fractional} index. @arg points: The points (C{LatLon}[], L{Numpy2LatLon}[], L{Tuple2LatLon}[], C{Cartesian}[], C{Vector3d}[], L{Vector3Tuple}[]). @arg fi: The fractional index (L{FIx}, C{float} or C{int}). @kwarg j: Optionally, index of the other point (C{int}). @kwarg wrap: Wrap and unroll longitudes (C{bool}) or C{None} for backward compatible L{LatLon2Tuple} or B{C{LatLon}} with averaged lat- and longitudes. Use C{True} or C{False} to get the I{fractional} point computed method C{points[fi].intermediateTo}. @kwarg LatLon: Optional class to return the I{intermediate}, I{fractional} point (C{LatLon}) or C{None}. @kwarg Vector: Optional class to return the I{intermediate}, I{fractional} point (C{Cartesian}, C{Vector3d}) or C{None}. @kwarg kwds: Optional, additional B{C{LatLon}} I{or} B{C{Vector}} keyword arguments, ignored if both C{B{LatLon}} and C{B{Vector}} are C{None}. @return: A L{LatLon2Tuple}C{(lat, lon)} if B{C{wrap}}, B{C{LatLon}} and B{C{Vector}} all are C{None}, the defaults. An instance of B{C{LatLon}} if not C{None} I{or} an instance of B{C{Vector}} if not C{None}. Otherwise with B{C{wrap}} either C{True} or C{False} and B{C{LatLon}} and B{C{Vector}} both C{None}, an instance of B{C{points}}' (sub-)class C{intermediateTo} I{fractional}. Summarized as follows: >>> wrap | LatLon | Vector | returned type/value # -------+--------+--------+--------------+------ # | | | LatLon2Tuple | favg # None | None | None | or** | # | | | Vector3Tuple | favg # None | LatLon | None | LatLon | favg # None | None | Vector | Vector | favg # -------+--------+--------+--------------+------ # True | None | None | points' | .iTo # True | LatLon | None | LatLon | .iTo # True | None | Vector | Vector | .iTo # -------+--------+--------+--------------+------ # False | None | None | points' | .iTo # False | LatLon | None | LatLon | .iTo # False | None | Vector | Vector | .iTo # _____ # favg) averaged lat, lon or x, y, z values # .iTo) value from points[fi].intermediateTo # **) depends on base class of points[fi] @raise IndexError: Fractional index B{C{fi}} invalid or B{C{points}} not subscriptable or not closed. @raise TypeError: Invalid B{C{LatLon}}, B{C{Vector}} or B{C{kwds}} argument. @see: Class L{FIx} and method L{FIx.fractional}. ''' if LatLon and Vector: # PYCHOK no cover kwds = _xkwds(kwds, fi=fi, LatLon=LatLon, Vector=Vector) raise _TypeError(txt=fractional.__name__, **kwds) try: if not isscalar(fi) or fi < 0: raise IndexError n = getattr(fi, _fin_, 0) w = wrap if Vector is None else False # intermediateTo p = _fractional(points, fi, j, fin=n, wrap=w) # see .units.FIx if LatLon: p = LatLon(p.lat, p.lon, **kwds) elif Vector: p = Vector(p.x, p.y, p.z, **kwds) except (IndexError, TypeError): raise _IndexError(fi=fi, points=points, wrap=wrap, txt=fractional.__name__) return p def _fractional(points, fi, j, fin=None, wrap=None): # in .frechet.py '''(INTERNAL) Compute point at L{fractional} index C{fi} and C{j}. ''' i = int(fi) p = points[i] r = fi - float(i) if r > EPS: # EPS0? if j is None: j = i + 1 if fin: j %= fin q = points[j] if r >= EPS1: # PYCHOK no cover p = q elif wrap is not None: # in (True, False) p = p.intermediateTo(q, r, wrap=wrap) elif _isLatLon(p): # backward compatible default p = LatLon2Tuple(favg(p.lat, q.lat, f=r), favg(p.lon, q.lon, f=r), name=fractional.__name__) else: # assume p and q are cartesian or vectorial z = p.z if p.z is q.z else favg(p.z, q.z, f=r) p = Vector3Tuple(favg(p.x, q.x, f=r), favg(p.y, q.y, f=r), z, name=fractional.__name__) return p def isclockwise(points, adjust=False, wrap=True): '''Determine the direction of a path or polygon. @arg points: The path or polygon points (C{LatLon}[]). @kwarg adjust: Adjust the wrapped, unrolled longitudinal delta by the cosine of the mean latitude (C{bool}). @kwarg wrap: Wrap lat-, wrap and unroll longitudes (C{bool}). @return: C{True} if B{C{points}} are clockwise, C{False} otherwise. @raise PointsError: Insufficient number of B{C{points}} @raise TypeError: Some B{C{points}} are not C{LatLon}. @raise ValueError: The B{C{points}} enclose a pole or zero area. @example: >>> f = LatLon(45,1), LatLon(45,2), LatLon(46,2), LatLon(46,1) >>> isclockwise(f) # False >>> isclockwise(reversed(f)) # True ''' a, pts = _area2(points, adjust, wrap) if a > 0: # opposite of ellipsoidalExact and -Karney return True elif a < 0: return False # <https://blog.Element84.com/determining-if-a-spherical-polygon-contains-a-pole.html> raise _areaError(pts) def isconvex(points, adjust=False, wrap=True): '''Determine whether a polygon is convex. @arg points: The polygon points (C{LatLon}[]). @kwarg adjust: Adjust the wrapped, unrolled longitudinal delta by the cosine of the mean latitude (C{bool}). @kwarg wrap: Wrap lat-, wrap and unroll longitudes (C{bool}). @return: C{True} if B{C{points}} are convex, C{False} otherwise. @raise CrossError: Some B{C{points}} are colinear. @raise PointsError: Insufficient number of B{C{points}} @raise TypeError: Some B{C{points}} are not C{LatLon}. @example: >>> t = LatLon(45,1), LatLon(46,1), LatLon(46,2) >>> isconvex(t) # True >>> f = LatLon(45,1), LatLon(46,2), LatLon(45,2), LatLon(46,1) >>> isconvex(f) # False ''' return bool(isconvex_(points, adjust=adjust, wrap=wrap)) def isconvex_(points, adjust=False, wrap=True): '''Determine whether a polygon is convex I{and clockwise}. @arg points: The polygon points (C{LatLon}[]). @kwarg adjust: Adjust the wrapped, unrolled longitudinal delta by the cosine of the mean latitude (C{bool}). @kwarg wrap: Wrap lat-, wrap and unroll longitudes (C{bool}). @return: C{+1} if B{C{points}} are convex clockwise, C{-1} for convex counter-clockwise B{C{points}}, C{0} otherwise. @raise CrossError: Some B{C{points}} are colinear. @raise PointsError: Insufficient number of B{C{points}} @raise TypeError: Some B{C{points}} are not C{LatLon}. @example: >>> t = LatLon(45,1), LatLon(46,1), LatLon(46,2) >>> isconvex_(t) # +1 >>> f = LatLon(45,1), LatLon(46,2), LatLon(45,2), LatLon(46,1) >>> isconvex_(f) # 0 ''' def _unroll2(x1, y1, x2, y2, a, w): x21, x2 = unroll180(x1, x2, wrap=w) if a: y = radians(y1 + y2) * _0_5 x21 *= cos(y) if abs(y) < PI_2 else _0_0 return x21, x2 c, s = crosserrors(), 0 Ps = LatLon2PsxyIter(points, wrap=wrap, loop=2) x1, y1, _ = Ps[0] x2, y2, _ = Ps[1] x21, x2 = _unroll2(x1, y1, x2, y2, adjust, False) for i, p in Ps.enumerate(closed=True): x3, y3, ll = p x32, x3 = _unroll2(x2, y2, x3, y3, adjust, (wrap if i > 1 else False)) # get the sign of the distance from point # x3, y3 to the line from x1, y1 to x2, y2 # <https://WikiPedia.org/wiki/Distance_from_a_point_to_a_line> s3 = fdot((x3, y3, x1, y1), y2 - y1, -x21, -y2, x2) if s3 > 0: # x3, y3 on the right if s < 0: # non-convex return 0 s = +1 elif s3 < 0: # x3, y3 on the left if s > 0: # non-convex return 0 s = -1 elif c and fdot((x32, y1 - y2), y3 - y2, -x21) < 0: # PYCHOK no cover # colinear u-turn: x3, y3 not on the # opposite side of x2, y2 as x1, y1 t = Fmt.SQUARE(points=i) raise CrossError(t, ll, txt=_colinear_) x1, y1, x2, y2, x21 = x2, y2, x3, y3, x32 return s # all points on the same side def isenclosedBy(point, points, wrap=False): # MCCABE 15 '''Determine whether a point is enclosed by a polygon. @arg point: The point (C{LatLon} or 2-tuple C{(lat, lon)}). @arg points: The polygon points (C{LatLon}[]). @kwarg wrap: Wrap lat-, wrap and unroll longitudes (C{bool}). @return: C{True} if B{C{point}} is inside the polygon, C{False} otherwise. @raise PointsError: Insufficient number of B{C{points}} @raise TypeError: Some B{C{points}} are not C{LatLon}. @raise ValueError: Invalid B{C{point}}, lat- or longitude. @see: Functions L{pygeodesy.isconvex}, L{pygeodesy.isenclosedBy} and L{pygeodesy.ispolar} especially if the B{C{points}} may enclose a pole or wrap around the earth longitudinally, methods L{sphericalNvector.LatLon.isenclosedBy}, L{sphericalTrigonometry.LatLon.isenclosedBy} and U{MultiDop GeogContainPt<https://GitHub.com/NASA/MultiDop>} (U{Shapiro et al. 2009, JTECH <https://Journals.AMetSoc.org/doi/abs/10.1175/2009JTECHA1256.1>} and U{Potvin et al. 2012, JTECH <https://Journals.AMetSoc.org/doi/abs/10.1175/JTECH-D-11-00019.1>}). ''' try: y0, x0 = point.lat, point.lon except AttributeError: try: y0, x0 = map1(float, *point[:2]) except (IndexError, TypeError, ValueError) as x: raise _ValueError(point=point, txt=str(x)) if wrap: x0, y0 = wrap180(x0), wrap90(y0) def _dxy3(x1, x2, y2, w): dx, x2 = unroll180(x1, x2, wrap=w) return dx, x2, y2 else: x0 = fmod(x0, _360_0) # not x0 % 360! x0_180_ = x0 - _180_0 x0_180 = x0 + _180_0 def _dxy3(x1, x, y, unused): # PYCHOK expected x = _umod_360(float(x)) if x < x0_180_: x += _360_0 elif x >= x0_180: x -= _360_0 return (x - x1), x, y Ps = LatLon2PsxyIter(points, wrap=wrap, loop=1) p = Ps[0] e = m = False S = Fsum() _, x1, y1 = _dxy3(x0, p.x, p.y, False) for i, p in Ps.enumerate(closed=True): dx, x2, y2 = _dxy3(x1, p.x, p.y, (wrap if i else False)) # ignore duplicate and near-duplicate pts if max(abs(dx), abs(y2 - y1)) > EPS: # determine if polygon edge (x1, y1)..(x2, y2) straddles # point (lat, lon) or is on boundary, but do not count # edges on boundary as more than one crossing if abs(dx) < 180 and (x1 < x0 <= x2 or x2 < x0 <= x1): m = not m dy = (x0 - x1) * (y2 - y1) - (y0 - y1) * dx if (dy > 0 and dx >= 0) or (dy < 0 and dx <= 0): e = not e S += sin(radians(y2)) x1, y1 = x2, y2 # An odd number of meridian crossings means, the polygon # contains a pole. Assume it is the pole on the hemisphere # containing the polygon mean point and if the polygon does # contain the North Pole, flip the result. if m and S.fsum() > 0: e = not e return e def ispolar(points, wrap=False): '''Check whether a polygon encloses a pole. @arg points: The polygon points (C{LatLon}[]). @kwarg wrap: Wrap and unroll longitudes (C{bool}). @return: C{True} if the polygon encloses a pole, C{False} otherwise. @raise PointsError: Insufficient number of B{C{points}} @raise TypeError: Some B{C{points}} are not C{LatLon} or don't have C{bearingTo2}, C{initialBearingTo} and C{finalBearingTo} methods. ''' def _cds(points, wrap): # iterate over course deltas Ps = PointsIter(points, loop=2) p2, p1 = Ps[0:2] b1, _ = _bearingTo2(p2, p1, wrap=wrap) for p2 in Ps.iterate(closed=True): if not p2.isequalTo(p1, EPS): b, b2 = _bearingTo2(p1, p2, wrap=wrap) yield wrap180(b - b1) # (b - b1 + 540) % 360 - 180 yield wrap180(b2 - b) # (b2 - b + 540) % 360 - 180 p1, b1 = p2, b2 # summation of course deltas around pole is 0° rather than normally ±360° # <https://blog.Element84.com/determining-if-a-spherical-polygon-contains-a-pole.html> s = fsum(_cds(points, wrap)) # XXX fix (intermittant) edge crossing pole - eg (85,90), (85,0), (85,-90) return abs(s) < 90 # "zero-ish" def luneOf(lon1, lon2, closed=False, LatLon=LatLon_, **LatLon_kwds): '''Generate an ellipsoidal or spherical U{lune <https://WikiPedia.org/wiki/Spherical_lune>}-shaped path or polygon. @arg lon1: Left longitude (C{degrees90}). @arg lon2: Right longitude (C{degrees90}). @kwarg closed: Optionally, close the path (C{bool}). @kwarg LatLon: Class to use (L{LatLon_}). @kwarg LatLon_kwds: Optional, additional B{C{LatLon}} keyword arguments. @return: A tuple of 4 or 5 B{C{LatLon}} instances outlining the lune shape. @see: U{Latitude-longitude quadrangle <https://www.MathWorks.com/help/map/ref/areaquad.html>}. ''' t = (LatLon( _0_0, lon1, **LatLon_kwds), LatLon( _90_0, lon1, **LatLon_kwds), LatLon( _0_0, lon2, **LatLon_kwds), LatLon(_N_90_0, lon2, **LatLon_kwds)) if closed: t += t[:1] return t def nearestOn5(point, points, closed=False, wrap=False, LatLon=None, **options): '''Locate the point on a path or polygon closest to a reference point. The closest point is either on and within the extent of a polygon edge or the nearest of that edge's end points. @arg point: Reference point (C{LatLon}). @arg points: The path or polygon points (C{LatLon}[]). @kwarg closed: Optionally, close the path or polygon (C{bool}). @kwarg wrap: Wrap and L{pygeodesy.unroll180} longitudes and longitudinal delta (C{bool}) in function L{pygeodesy.equirectangular_}. @kwarg LatLon: Optional class to return the closest point (C{LatLon}) or C{None}. @kwarg options: Other keyword arguments for function L{pygeodesy.equirectangular_}. @return: A L{NearestOn3Tuple}C{(closest, distance, angle)} with the {closest} point (B{C{LatLon}}) or if C{B{LatLon} is None}, a L{NearestOn5Tuple}C{(lat, lon, distance, angle, height)}. The C{distance} is the L{pygeodesy.equirectangular} distance between the C{closest} and reference B{C{point}} in C{degrees}. The C{angle} from the reference B{C{point}} to the C{closest} is in compass C{degrees360}, like function L{pygeodesy.compassAngle}. @raise LimitError: Lat- and/or longitudinal delta exceeds the B{C{limit}}, see function L{pygeodesy.equirectangular_}. @raise PointsError: Insufficient number of B{C{points}} @raise TypeError: Some B{C{points}} are not C{LatLon}. @note: Distances are I{approximated} using function L{pygeodesy.equirectangular_}, subject to the supplied B{C{options}}. Method C{LatLon.nearestOn6} measures distances more accurately. @see: Function L{pygeodesy.nearestOn6} for cartesian points. Use function L{pygeodesy.degrees2m} to convert C{degrees} to C{meter}. ''' def _d2yx(p2, p1, u, w): # w = wrap if (not closed or w < (n - 1)) else False # equirectangular_ returns a Distance4Tuple(distance # in degrees squared, delta lat, delta lon, p2.lon # unroll/wrap); the previous p2.lon unroll/wrap # is also applied to the next edge's p1.lon return equirectangular_(p1.lat, p1.lon + u, p2.lat, p2.lon, wrap=w, **options) def _h(p): # get height or default 0 return getattr(p, _height_, 0) or 0 # 3-D version used in .vector3d._nearestOn2 # # point (x, y) on axis rotated ccw by angle a: # x' = y * sin(a) + x * cos(a) # y' = y * cos(a) - x * sin(a) # # distance (w) along and perpendicular (h) to # a line thru point (dx, dy) and the origin: # w = (y * dy + x * dx) / hypot(dx, dy) # h = (y * dx - x * dy) / hypot(dx, dy) # # closest point on that line thru (dx, dy): # xc = dx * w / hypot(dx, dy) # yc = dy * w / hypot(dx, dy) # or # xc = dx * f # yc = dy * f # with # f = w / hypot(dx, dy) # or # f = (y * dy + x * dx) / hypot2(dx, dy) # # i.e. no need for sqrt or hypot Ps = PointsIter(points, loop=1) p1 = c = Ps[0] u1 = u = _0_0 d, dy, dx, _ = _d2yx(p1, point, u1, False) for i, p2 in Ps.enumerate(closed=closed): # iff wrapped, unroll lon1 (actually previous # lon2) like function unroll180/-PI would've w = False if closed and i == 0 else wrap d21, y21, x21, u2 = _d2yx(p2, p1, u1, w) if d21 > EPS: # distance point to p1, y01 and x01 inverted d2, y01, x01, _ = _d2yx(point, p1, u1, closed) if d2 > EPS: w2 = y01 * y21 + x01 * x21 if w2 > 0: if w2 < d21: # closest is between p1 and p2, use # original delta's, not y21 and x21 f = w2 / d21 p1 = LatLon_(favg(p1.lat, p2.lat, f=f), favg(p1.lon, p2.lon + u2, f=f), height=favg(_h(p1), _h(p2), f=f)) u1 = _0_0 else: # p2 is closest p1, u1 = p2, u2 d2, y01, x01, _ = _d2yx(point, p1, u1, closed) if d2 < d: # p1 is closer, y01 and x01 negated c, u, d, dy, dx = p1, u1, d2, -y01, -x01 p1, u1 = p2, u2 d, a, h = hypot(dx, dy), atan2b(dx, dy), _h(c) if LatLon is None: r = NearestOn5Tuple(c.lat, c.lon + u, d, a, h) else: r = LatLon(c.lat, c.lon + u, height=h) r = NearestOn3Tuple(r, d, a) return _xnamed(r, nameof(point)) def perimeterOf(points, closed=False, adjust=True, radius=R_M, wrap=True): '''Approximate the perimeter of a path or polygon. @arg points: The path or polygon points (C{LatLon}[]). @kwarg closed: Optionally, close the path or polygon (C{bool}). @kwarg adjust: Adjust the wrapped, unrolled longitudinal delta by the cosine of the mean latitude (C{bool}). @kwarg radius: Mean earth radius (C{meter}). @kwarg wrap: Wrap lat-, wrap and unroll longitudes (C{bool}). @return: Approximate perimeter (C{meter}, same units as B{C{radius}}). @raise PointsError: Insufficient number of B{C{points}} @raise TypeError: Some B{C{points}} are not C{LatLon}. @raise ValueError: Invalid B{C{radius}}. @note: This perimeter is based on the L{pygeodesy.equirectangular_} distance approximation and is ill-suited for regions exceeding several hundred Km or Miles or with near-polar latitudes. @see: Functions L{sphericalTrigonometry.perimeterOf} and L{ellipsoidalKarney.perimeterOf}. ''' def _degs(points, closed, wrap): # angular edge lengths in degrees Ps = LatLon2PsxyIter(points, wrap=wrap, loop=1) p1, u = Ps[0], _0_0 # previous x2's unroll/wrap for i, p2 in Ps.enumerate(closed=closed): w = False if closed and i == 0 else wrap # apply previous x2's unroll/wrap to new x1 _, dy, dx, u = equirectangular_(p1.y, p1.x + u, p2.y, p2.x, adjust=adjust, limit=None, wrap=w) # PYCHOK non-sequence yield hypot(dx, dy) p1 = p2 d = fsum(_degs(points, closed, wrap)) return degrees2m(d, radius=radius) def quadOf(latS, lonW, latN, lonE, closed=False, LatLon=LatLon_, **LatLon_kwds): '''Generate a quadrilateral path or polygon from two points. @arg latS: Southernmost latitude (C{degrees90}). @arg lonW: Westernmost longitude (C{degrees180}). @arg latN: Northernmost latitude (C{degrees90}). @arg lonE: Easternmost longitude (C{degrees180}). @kwarg closed: Optionally, close the path (C{bool}). @kwarg LatLon: Class to use (L{LatLon_}). @kwarg LatLon_kwds: Optional, additional B{C{LatLon}} keyword arguments. @return: Return a tuple of 4 or 5 B{C{LatLon}} instances outlining the quadrilateral. @see: Function L{boundsOf}. ''' t = (LatLon(latS, lonW, **LatLon_kwds), LatLon(latN, lonW, **LatLon_kwds), LatLon(latN, lonE, **LatLon_kwds), LatLon(latS, lonE, **LatLon_kwds)) if closed: t += t[:1] return t __all__ += _ALL_DOCS(_Array2LatLon, _Basequence) # **) 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.