_h1dZddlZddlZddlmZddlmZgdZedge dd d de dzd e fd Z d Z eddgeddddZ dZ y)z6Methods that operate on the coordinates of geometries.N)lib)deprecate_positional)count_coordinatesget_coordinatesset_coordinates transform include_z)categoryFT) interleavedr ctj|tj}|Xtj|}tj |}t |||d|||<t |||d|||<nd}tj|||d}|r ||} n>> import shapely >>> from shapely import LineString, Point >>> shapely.transform(Point(0, 0), lambda x: x + 1) >>> shapely.transform(LineString([(2, 2), (4, 4)]), lambda x: x * [2, 3]) >>> shapely.transform(None, lambda x: x) is None True >>> shapely.transform([Point(0, 0), None], lambda x: x).tolist() [, None] The presence of a third dimension can be automatically detected, or controlled explicitly: >>> shapely.transform(Point(0, 0, 0), lambda x: x + 1) >>> shapely.transform(Point(0, 0, 0), lambda x: x + 1, include_z=True) >>> shapely.transform(Point(0, 0, 0), lambda x: x + 1, include_z=None) With interleaved=False, the call signature of the transformation is different: >>> shapely.transform(LineString([(1, 2), (3, 4)]), lambda x, y: (x + 1, y), interleaved=False) Or with a z coordinate: >>> shapely.transform(Point(0, 0, 0), lambda x, y, z: (x + 1, y, z + 2), interleaved=False, include_z=True) Using pyproj >= 2.1, the following example will reproject Shapely geometries from EPSG 4326 to EPSG 32618: >>> from pyproj import Transformer >>> transformer = Transformer.from_crs(4326, 32618, always_xy=True) >>> shapely.transform(Point(-75, 50), transformer.transform, interleaved=False) dtypeT)r r FzHThe provided transformation did not return a two-dimensional numpy arrayzHThe provided transformation returned an array with an unexpected dtype ()zHThe provided transformation returned an array with an unexpected shape (r)nparrayobject_shapelyhas_z empty_likerrrasarrayTfloat64 isinstancendarrayndim ValueErrorrshaperitem) geometrytransformationr r geometry_arrrresult include_m coordinatesnew_coordinatess o/home/developers/rajanand/mypropertyqr-fmb-refixing-v2/venv/lib/python3.12/site-packages/shapely/coordinates.pyrrs@88HBJJ7L l+|,!  4[ u # % #  v )), 9eT ,[9O jj .bjja /2::6/:N:NRS:S   BJJ .)//03   K$5$5 5)//03 $$\?C {{a 8RZZ @{{} Mcrtjtj|tjS)aCount the number of coordinate pairs in a geometry array. Parameters ---------- geometry : Geometry or array_like Geometry or geometries to count the coordinates of. Examples -------- >>> import shapely >>> from shapely import LineString, Point >>> shapely.count_coordinates(Point(0, 0)) 1 >>> shapely.count_coordinates(LineString([(2, 2), (4, 2)])) 2 >>> shapely.count_coordinates(None) 0 >>> shapely.count_coordinates([Point(0, 0), None]) 1 r )rrrrr)r s r'rrs$,  HBJJ!G HHr( return_index)r$cxtjtj|tj|||S)a9 Get coordinates from a geometry array as an array of floats. The shape of the returned array is (N, 2), with N being the number of coordinate pairs. The shape of the data may also be (N, 3) or (N, 4), depending on ``include_z`` and ``include_m`` options. Parameters ---------- geometry : Geometry or array_like Geometry or geometries to get the coordinates of. include_z, include_m : bool, default False If both are False, return XY (2D) geometries. If both are True, return XYZM (4D) geometries. If either are True, return XYZ or XYM (3D) geometries. If a geometry has no Z or M dimension, extra coordinate data will be NaN. .. versionadded:: 2.1.0 The ``include_m`` parameter was added to support XYM (3D) and XYZM (4D) geometries available with GEOS 3.12.0 or later. With older GEOS versions, M dimension coordinates will be NaN. return_index : bool, default False If True, also return the index of each returned geometry as a separate ndarray of integers. For multidimensional arrays, this indexes into the flattened array (in C contiguous order). Notes ----- .. deprecated:: 2.1.0 A deprecation warning is shown if ``include_z`` or ``return_index`` are specified as positional arguments. In a future release, these will need to be specified as keyword arguments. Examples -------- >>> import shapely >>> from shapely import LineString, Point >>> shapely.get_coordinates(Point(1, 2)).tolist() [[1.0, 2.0]] >>> shapely.get_coordinates(LineString([(2, 2), (4, 4)])).tolist() [[2.0, 2.0], [4.0, 4.0]] >>> shapely.get_coordinates(None) array([], shape=(0, 2), dtype=float64) By default the third dimension is ignored: >>> shapely.get_coordinates(Point(1, 2, 3)).tolist() [[1.0, 2.0]] >>> shapely.get_coordinates(Point(1, 2, 3), include_z=True).tolist() [[1.0, 2.0, 3.0]] If geometries don't have Z or M dimension, these values will be NaN: >>> pt = Point(1, 2) >>> shapely.get_coordinates(pt, include_z=True).tolist() [[1.0, 2.0, nan]] >>> shapely.get_coordinates(pt, include_z=True, include_m=True).tolist() [[1.0, 2.0, nan, nan]] When ``return_index=True``, indexes are returned also: >>> geometries = [LineString([(2, 2), (4, 4)]), Point(0, 0)] >>> coordinates, index = shapely.get_coordinates(geometries, return_index=True) >>> coordinates.tolist(), index.tolist() ([[2.0, 2.0], [4.0, 4.0], [0.0, 0.0]], [0, 0, 1]) r )rrrrr)r r r*r$s r'rrs0L    82::. 9l r(chtj|tj}tjtj|j tj }|j dk7rtd|j dtj|}|jd|k7s|jddvrtd|jtj|||j dk(r*t|tjs|jS|S) a$Adapts the coordinates of a geometry array in-place. If the coordinates array has shape (N, 2), all returned geometries will be two-dimensional, and the third dimension will be discarded, if present. If the coordinates array has shape (N, 3), the returned geometries preserve the dimensionality of the input geometries. .. warning:: The geometry array is modified in-place! If you do not want to modify the original array, you can do ``set_coordinates(arr.copy(), newcoords)``. Parameters ---------- geometry : Geometry or array_like Geometry or geometries to set the coordinates of. coordinates: array_like An array of coordinates to set. See Also -------- transform : Returns a copy of a geometry array with a function applied to its coordinates. Examples -------- >>> import shapely >>> from shapely import LineString, Point >>> shapely.set_coordinates(Point(0, 0), [[1, 1]]) >>> shapely.set_coordinates( ... [Point(0, 0), LineString([(0, 0), (0, 0)])], ... [[1, 2], [3, 4], [5, 6]] ... ).tolist() [, ] >>> shapely.set_coordinates([None, Point(0, 0)], [[1, 2]]).tolist() [None, ] Third dimension of input geometry is discarded if coordinates array does not include one: >>> shapely.set_coordinates(Point(0, 0, 0), [[1, 1]]) >>> shapely.set_coordinates(Point(0, 0, 0), [[1, 1, 1]]) r rz5The coordinate array should have dimension of 2 (has rr>rz*The coordinate array has an invalid shape )rrr atleast_2dastyperrrrrrrrrr)r r%r"n_coordss r'rrsb::hbjj9L-- ; 78?? KK1CKDTDTCUUV W  $$\2H!(k.?.?.B&.P89J9J8K L   k2Aj2::&F  "" r()F)FF)__doc__numpyrrrshapely.decoratorsr__all__DeprecationWarningboolrrrrr(r'r9s<3 R{m.@A#J  Jd{J  JBJZID{N3>PQGPUGRGT?r(