1

2# -*- coding: utf-8 -*-

3

4 u'''A pure Python version of I{Karney}'s C++ class U{TransverseMercator

5<https://GeographicLib.SourceForge.io/C++/doc/classGeographicLib_1_1TransverseMercator.html>}

6 based on I{Krüger} series. See also I{Karney}'s utility U{TransverseMercatorProj

7<https://GeographicLib.SourceForge.io/C++/doc/TransverseMercatorProj.1.html>}.

8

9 Following and further below is a copy of I{Karney}'s U{TransverseMercator.hpp

10<https://GeographicLib.SourceForge.io/C++/doc/TransverseMercator_8hpp_source.html>}

11 file C{Header}.

12

13 This implementation follows closely JHS 154, ETRS89 - I{järjestelmään liittyvät

14 karttaprojektiot, tasokoordinaatistot ja karttalehtijako} (Map projections, plane

15 coordinates, and map sheet index for ETRS89), published by JUHTA, Finnish Geodetic

16 Institute, and the National Land Survey of Finland (2006). The relevant section

17 is available as the U{2008 PDF file

18<http://Docs.JHS-suositukset.FI/jhs-suositukset/JHS154/JHS154_liite1.pdf>}.

19

20 This is a straight transcription of the formulas in this paper with the

21 following exceptions:

22

23 - Use of 6th order series instead of 4th order series. This reduces the

24 error to about 5 nm for the UTM range of coordinates (instead of 200 nm),

25 with a speed penalty of only 1%,

26

27 - Use Newton's method instead of plain iteration to solve for latitude

28 in terms of isometric latitude in the Reverse method,

29

30 - Use of Horner's representation for evaluating polynomials and Clenshaw's

31 method for summing trigonometric series,

32

33 - Several modifications of the formulas to improve the numerical accuracy,

34

35 - Evaluating the convergence and scale using the expression for the

36 projection or its inverse.

37

38 Copyright (C) U{Charles Karney<mailto:Karney@Alum.MIT.edu>} (2008-2024)

39 and licensed under the MIT/X11 License. For more information, see the

40 U{GeographicLib<https://GeographicLib.SourceForge.io>} documentation.

41'''

42# make sure int/int division yields float quotient

43 from __future__ import division as _; del _ # PYCHOK semicolon

44

45 from pygeodesy.basics import copysign0, isodd, neg, neg_, \

46 _reverange, _xinstanceof

47 from pygeodesy.constants import INF, _K0_UTM, PI, PI_2, _0_0s, _0_0, \

48 _1_0, _90_0, _copysignINF

49 from pygeodesy.datums import Datum, _spherical_datum, _WGS84, _EWGS84

50# from pygeodesy.ellipsoids import _EWGS84 # from .datums

51 from pygeodesy.errors import _ValueError, _xkwds_pop2, _Xorder

52 from pygeodesy.fmath import fdot_, hypot, hypot1

53 from pygeodesy.interns import _COMMASPACE_, _singular_

54 from pygeodesy.karney import _atan2d, _diff182, _fix90, _norm180, \

55 _polynomial, _unsigned2

56# from pygeodesy.lazily import _ALL_LAZY # from .named

57 from pygeodesy.named import _NamedBase, pairs, _ALL_LAZY

58 from pygeodesy.namedTuples import Forward4Tuple, Reverse4Tuple

59 from pygeodesy.props import property_doc_, Property, Property_RO, \

60 _update_all

61# from pygeodesy.streprs import pairs # from .named

62 from pygeodesy.units import Degrees, Scalar_, _1mm as _TOL_10 # PYCHOK used!

63 from pygeodesy.utily import atan1d, atan2, _loneg, sincos2, sincos2d_

64

65 from cmath import polar

66 from math import asinh, cos, cosh, degrees, fabs, sin, sinh, sqrt, tanh

67

68__all__ = _ALL_LAZY.ktm

69__version__ = '24.11.24'

70

71

72 class KTMError(_ValueError):

73 '''Error raised for L{KTransverseMercator} and L{KTransverseMercator.forward} issues.

74 '''

75 pass

76

77

78 class KTransverseMercator(_NamedBase):

79 '''I{Karney}'s C++ class U{TransverseMercator<https://GeographicLib.SourceForge.io/

80 C++/doc/classGeographicLib_1_1TransverseMercator.html>} transcoded to pure

81 Python, following is a partial copy of I{Karney}'s documentation.

82

83 Transverse Mercator projection based on Krüger's method which evaluates the

84 projection and its inverse in terms of a series.

85

86 There's a singularity in the projection at I{phi = 0, lam - lam0 = +/- (1 - e)

87 90}, about +/- 82.6 degrees for WGS84, where I{e} is the eccentricity. Beyond

88 this point, the series ceases to converge and the results from this method

89 will be garbage. I{To be on the safe side, don't use this method if the

90 angular distance from the central meridian exceeds (1 - 2e) x 90}, about 75

91 degrees for the WGS84 ellipsoid.

92

93 Class L{ExactTransverseMercator} is an alternative implementation of the

94 projection using I{exact} formulas which yield accurate (to 8 nm) results

95 over the entire ellipsoid.

96

97 The ellipsoid parameters and the central scale are set in the constructor.

98 The central meridian (which is a trivial shift of the longitude) is specified

99 as the C{lon0} keyword argument of the L{KTransverseMercator.forward} and

100 L{KTransverseMercator.reverse} methods. The latitude of origin is taken to

101 be the equator. There is no provision in this class for specifying a false

102 easting or false northing or a different latitude of origin. However these

103 are can be simply included by the calling function.

104

105 The L{KTransverseMercator.forward} and L{KTransverseMercator.reverse} methods

106 also return the meridian convergence C{gamma} and scale C{k}. The meridian

107 convergence is the bearing of grid North, the C{y axis}, measured clockwise

108 from true North.

109 '''

110 _datum = _WGS84

111 _k0 = _K0_UTM # central scale factor

112 _lat0 = _0_0 # central parallel

113 _lon0 = _0_0 # central meridian

114 _mTM = 6

115 _raiser = False # throw Error

116

117 def __init__(self, a_earth=_EWGS84, f=None, lon0=0, k0=_K0_UTM,

118 raiser=False, **TMorder_name):

119 '''New L{KTransverseMercator}.

120

121 @kwarg a_earth: This rhumb's earth (L{Ellipsoid}, L{Ellipsoid2}, L{a_f2Tuple},

122 L{Datum}, 2-tuple (C{a, f})) or the equatorial radius (C{meter}).

123 @kwarg f: The ellipsoid's flattening (C{scalar}), required if B{C{a_earth}} is

124 is C{meter}, ignored otherwise.

125 @kwarg lon0: The central meridian (C{degrees180}).

126 @kwarg k0: Central scale factor (C{scalar}).

127 @kwarg raiser: If C{True}, throw a L{KTMError} for C{forward} singularities (C{bool}).

128 @kwarg TMorder_name: Optional C{B{name}=NN} (C{str}) and optional keyword argument

129 C{B{TMorder}=6} for the order of this L{KTransverseMercator}, see

130 property C{TMorder}.

131

132 @raise KTMError: Invalid B{C{a_earth}}, B{C{f}} or B{C{TMorder}}.

133 '''

134 if TMorder_name:

135 M = self._mTM

136 m, name = _xkwds_pop2(TMorder_name, TMorder=M)

137 if m != M:

138 self.TMorder = m

139 if name:

140 self.name = name

141

142 if f is not None:

143 self.ellipsoid = a_earth, f

144 elif a_earth in (_EWGS84, _WGS84, None):

145 pass

146 elif isinstance(a_earth, Datum):

147 self.datum = a_earth

148 else:

149 self.ellipsoid = a_earth

150

151 if lon0:

152 self.lon0 = lon0

153 self.k0 = k0

154 if raiser:

155 self.raiser = True

156

157 @Property_RO

158 def _Alp(self):

159 return _Xs(_AlpCoeffs, self.TMorder, self.ellipsoid)

160

161 @Property_RO

162 def _b1(self):

163 n = self.ellipsoid.n

164 if n: # isEllipsoidal

165 m = self.TMorder // 2

166 B1 = _B1Coeffs[m]

167 m += 1

168 b1 = _polynomial(n**2, B1, 0, m) / (B1[m] * (n + _1_0))

169 else: # isSpherical

170 b1 = _1_0 # B1[m - 1] / B1[m1] == 1, always

171 return b1

172

173 @Property_RO

174 def _Bet(self):

175 C = _Xs(_BetCoeffs, self.TMorder, self.ellipsoid)

176 return tuple(map(neg, C)) if self.f else C # negated if isEllipsoidal

177

178 @property

179 def datum(self):

180 '''Get this rhumb's datum (L{Datum}).

181 '''

182 return self._datum

183

184 @datum.setter # PYCHOK setter!

185 def datum(self, datum):

186 '''Set this rhumb's datum (L{Datum}).

187 '''

188 _xinstanceof(Datum, datum=datum)

189 if self._datum != datum:

190 _update_all(self)

191 self._datum = datum

192

193 @Property

194 def ellipsoid(self):

195 '''Get the ellipsoid (L{Ellipsoid}).

196 '''

197 return self.datum.ellipsoid

198

199 @ellipsoid.setter # PYCHOK setter!

200 def ellipsoid(self, a_earth_f):

201 '''Set this rhumb's ellipsoid (L{Ellipsoid}, L{Ellipsoid2}, L{Datum},

202 L{a_f2Tuple} or 2-tuple C{(a, f)}).

203 '''

204 self.datum = _spherical_datum(a_earth_f, Error=KTMError)

205

206 @Property_RO

207 def equatoradius(self):

208 '''Get the C{ellipsoid}'s equatorial radius, semi-axis (C{meter}).

209 '''

210 return self.ellipsoid.a

211

212 a = equatoradius

213

214 @Property_RO

215 def flattening(self):

216 '''Get the C{ellipsoid}'s flattening (C{scalar}).

217 '''

218 return self.ellipsoid.f

219

220 f = flattening

221

222 def forward(self, lat, lon, lon0=None, **name):

223 '''Forward projection, from geographic to transverse Mercator.

224

225 @arg lat: Latitude of point (C{degrees90}).

226 @arg lon: Longitude of point (C{degrees180}).

227 @arg lon0: Central meridian of the projection (C{degrees180}).

228 @kwarg name: Optional C{B{name}=NN} (C{str}).

229

230 @return: L{Forward4Tuple}C{(easting, northing, gamma, scale)} with

231 C{easting} and C{northing} in C{meter}, unfalsed, the

232 meridian convergence C{gamma} at point in C{degrees180}

233 and the C{scale} of projection at point C{scalar}. Any

234 value may be C{NAN}, C{NINF} or C{INF} for singularities.

235

236 @raise KTMError: For singularities, iff property C{raiser} is C{True}.

237 '''

238 lat, _lat = _unsigned2(_fix90(lat - self._lat0))

239 lon, _ = _diff182((self.lon0 if lon0 is None else lon0), lon)

240 lon, _lon = _unsigned2(lon)

241 backside = lon > 90

242 if backside: # PYCHOK no cover

243 lon = _loneg(lon)

244 if lat == 0:

245 _lat = True

246

247 sphi, cphi, slam, clam = sincos2d_(lat, lon)

248 E = self.ellipsoid

249 if cphi and lat != 90:

250 t = sphi / cphi

251 tp = E.es_taupf(t)

252 h = hypot(tp, clam)

253 if h:

254 xip = atan2(tp, clam)

255 etap = asinh(slam / h) # atanh(sin(lam) / cosh(psi))

256 g = _atan2d(slam * tp, clam * hypot1(tp)) # Krueger p 22 (44)

257 k = sqrt(cphi**2 * E.e2 + E.e21) * hypot1(t) / h

258 elif self.raiser:

259 raise KTMError(lat=lat, lon=lon, lon0=lon0, txt=_singular_)

260 else: # PYCHOK no cover

261 xip, etap = _0_0, _copysignINF(slam)

262 g, k = copysign0(_90_0, slam), INF

263 else: # PYCHOK no cover

264 xip, etap = PI_2, _0_0

265 g, k = lon, E.es_c

266 y, x, d, t = _Cyxgk4(E, xip, etap, self._Alp)

267 g -= d

268 k *= t * self._k0_b1

269

270 if backside: # PYCHOK no cover

271 y, g = (PI - y), _loneg(g)

272 y *= self._k0_a1

273 x *= self._k0_a1

274 if _lat:

275 y, g = neg_(y, g)

276 if _lon:

277 x, g = neg_(x, g)

278 return Forward4Tuple(x, y, _norm180(g), k, name=self._name__(name))

279

280 @property_doc_(''' the central scale factor (C{float}).''')

281 def k0(self):

282 '''Get the central scale factor (C{float}), aka I{C{scale0}}.

283 '''

284 return self._k0 # aka scale0

285

286 @k0.setter # PYCHOK setter!

287 def k0(self, k0):

288 '''Set the central scale factor (C{float}), aka I{C{scale0}}.

289

290 @raise KTMError: Invalid B{C{k0}}.

291 '''

292 k0 = Scalar_(k0=k0, Error=KTMError, low=_TOL_10, high=_1_0)

293 if self._k0 != k0: # PYCHOK no cover

294 KTransverseMercator._k0_a1._update(self) # redo ._k0_a1

295 KTransverseMercator._k0_b1._update(self) # redo ._k0_b1

296 self._k0 = k0

297

298 @Property_RO

299 def _k0_a1(self):

300 '''(INTERNAL) Cache C{k0 * _b1 * equatoradius}.

301 '''

302 return self._k0_b1 * self.equatoradius

303

304 @Property_RO

305 def _k0_b1(self):

306 '''(INTERNAL) Cache C{k0 * _b1}.

307 '''

308 return self.k0 * self._b1

309

310 @property_doc_(''' the central meridian (C{degrees180}).''')

311 def lon0(self):

312 '''Get the central meridian (C{degrees180}).

313 '''

314 return self._lon0

315

316 @lon0.setter # PYCHOK setter!

317 def lon0(self, lon0):

318 '''Set the central meridian (C{degrees180}).

319

320 @raise KTMError: Invalid B{C{lon0}}.

321 '''

322 self._lon0 = _norm180(Degrees(lon0=lon0, Error=KTMError))

323

324 @property_doc_(''' raise a L{KTMError} for C{forward} singularities (C{bool}).''')

325 def raiser(self):

326 '''Get the error setting (C{bool}).

327 '''

328 return self._raiser

329

330 @raiser.setter # PYCHOK setter!

331 def raiser(self, raiser):

332 '''Set the error setting (C{bool}), to C{True} to throw a L{KTMError}

333 for C{forward} singularities.

334 '''

335 self._raiser = bool(raiser)

336

337 def reset(self, lat0, lon0):

338 '''Set the central parallel and meridian.

339

340 @arg lat0: Latitude of the central parallel (C{degrees90}).

341 @arg lon0: Longitude of the central parallel (C{degrees180}).

342

343 @return: 2-Tuple C{(lat0, lon0)} with the previous central

344 parallel and meridian.

345

346 @raise KTMError: Invalid B{C{lat0}} or B{C{lon0}}.

347 '''

348 t = self._lat0, self.lon0

349 self._lat0 = _fix90(Degrees(lat0=lat0, Error=KTMError))

350 self. lon0 = lon0

351 return t

352

353 def reverse(self, x, y, lon0=None, **name):

354 '''Reverse projection, from transverse Mercator to geographic.

355

356 @arg x: Easting of point (C{meter}).

357 @arg y: Northing of point (C{meter}).

358 @arg lon0: Central meridian of the projection (C{degrees180}).

359 @kwarg name: Optional C{B{name}=NN} (C{str}).

360

361 @return: L{Reverse4Tuple}C{(lat, lon, gamma, scale)} with

362 C{lat}- and C{lon}gitude in C{degrees}, I{unfalsed}.

363 '''

364 eta, _lon = _unsigned2(x / self._k0_a1)

365 xi, _lat = _unsigned2(y / self._k0_a1)

366 backside = xi > PI_2

367 if backside: # PYCHOK no cover

368 xi = PI - xi

369

370 E = self.ellipsoid

371 xip, etap, g, k = _Cyxgk4(E, xi, eta, self._Bet)

372 t = self._k0_b1

373 k = (t / k) if k else _copysignINF(t) # _over(t, k)

374 h, c = sinh(etap), cos(xip)

375 if c > 0:

376 r = hypot(h, c)

377 else: # PYCHOK no cover

378 r = fabs(h)

379 c = _0_0

380 if r:

381 lon = _atan2d(h, c) # Krueger p 17 (25)

382 s = sin(xip) # Newton for tau

383 t = E.es_tauf(s / r)

384 lat = atan1d(t)

385 g += _atan2d(s * tanh(etap), c) # Krueger p 19 (31)

386 k *= sqrt(E.e2 / (t**2 + _1_0) + E.e21) * hypot1(t) * r

387 else: # PYCHOK no cover

388 lat = _90_0

389 lon = _0_0

390 k *= E.es_c

391

392 if backside: # PYCHOK no cover

393 lon, g = _loneg(lon), _loneg(g)

394 if _lat:

395 lat, g = neg_(lat, g)

396 if _lon:

397 lon, g = neg_(lon, g)

398 lat += self._lat0

399 lon += self._lon0 if lon0 is None else _norm180(lon0)

400 return Reverse4Tuple(lat, _norm180(lon), _norm180(g), k,

401 name=self._name__(name))

402

403 @Property

404 def TMorder(self):

405 '''Get the I{Transverse Mercator} order (C{int}, 4, 5, 6, 7 or 8).

406 '''

407 return self._mTM

408

409 @TMorder.setter # PYCHOK setter!

410 def TMorder(self, order):

411 '''Set the I{Transverse Mercator} order (C{int}, 4, 5, 6, 7 or 8).

412 '''

413 m = _Xorder(_AlpCoeffs, KTMError, TMorder=order)

414 if self._mTM != m:

415 _update_all(self)

416 self._mTM = m

417

418 def toStr(self, **kwds):

419 '''Return a C{str} representation.

420

421 @arg kwds: Optional, overriding keyword arguments.

422 '''

423 d = dict(ellipsoid=self.ellipsoid, k0=self.k0, TMorder=self.TMorder)

424 if self.name: # PYCHOK no cover

425 d.update(name=self.name)

426 return _COMMASPACE_.join(pairs(d, **kwds))

427

428

429 def _cfma(a, b0, b1, Cn):

430 '''(INTERNAL) Complex fused-multiply-add M{a * b0 - b1 + Cn} with

431 complex C{a}, C{b0} and C{b1} and scalar C{Cn}.

432

433 @see: CPython function U{_Py_c_prod<https://GitHub.com/python/

434 cpython/blob/main/Objects/complexobject.c>}.

435

436 @note: Python function C{cmath.fsum} no longer exists.

437 '''

438 r = fdot_(a.real, b0.real, -a.imag, b0.imag, -b1.real, _1_0, start=Cn)

439 j = fdot_(a.real, b0.imag, a.imag, b0.real, -b1.imag, _1_0)

440 return complex(r, j)

441

442

443 def _Cyxgk4(E, xi_, eta_, C):

444 '''(INTERNAL) Complex Clenshaw summation with C{B{C}=._Alp}

445 or C{B{C}=-._Bet}.

446 '''

447 x = complex(xi_, eta_)

448 if E.f: # isEllipsoidal

449 s, c = sincos2( xi_ * 2)

450 sh, ch = _sinhcosh2(eta_ * 2)

451 n = -s

452 s = complex(s * ch, c * sh) # sin(zeta * 2)

453 c = complex(c * ch, n * sh) # cos(zeta * 2)

454 a = c * 2 # cos(zeta * 2) * 2

455

456 y0 = y1 = \

457 z0 = z1 = complex(0) # 0+0j

458 n = len(C) - 1 # == .TMorder

459 if isodd(n):

460 Cn = C[n]

461 y0 = complex(Cn) # +0j

462 z0 = complex(Cn * (n * 2))

463 n -= 1

464 while n > 0:

465 Cn = C[n]

466 y1 = _cfma(a, y0, y1, Cn)

467 z1 = _cfma(a, z0, z1, Cn * (n * 2))

468 n -= 1

469 Cn = C[n]

470 y0 = _cfma(a, y1, y0, Cn)

471 z0 = _cfma(a, z1, z0, Cn * (n * 2))

472 n -= 1

473 # assert n == 0

474 x = _cfma(s, y0, -x, _0_0)

475 c = _cfma(c, z0, z1, _1_0)

476

477 # Gauss-Schreiber to Gauss-Krueger TM

478 # C{cmath.polar} handles INF, NAN, etc.

479 k, g = polar(c)

480 g = degrees(g)

481 else: # E.isSpherical

482 g, k = _0_0, _1_0

483

484 return x.real, x.imag, g, k

485

486

487 def _sinhcosh2(x):

488 '''(INTERNAL) Like C{sincos2}.

489 '''

490 return sinh(x), cosh(x)

491

492

493 def _Xs(_Coeffs, m, E, RA=False): # in .rhumb.ekx

494 '''(INTERNAL) Compute the C{A}, C{B} or C{RA} terms of order

495 B{C{m}} for I{Krüger} series and I{rhumb.ekx._sincosSeries},

496 return a tuple with C{B{m} + 1} terms C{X}, C{X[0]==0}.

497 '''

498 Cs = _Coeffs[m]

499 assert len(Cs) == (((m + 1) * (m + 4)) if RA else

500 ((m + 3) * m)) // 2

501 n = n_ = E.n

502 if n: # isEllipsoidal

503 X = [0] # X[0] never used, it's just an integration

504 # constant, it cancels when evaluating a definite

505 # integral. Don't bother computing it, it is unused

506 # in C{_Cyxgk4} above and C{rhumb.ekx._sincosSeries}.

507 i = (m + 2) if RA else 0

508 _p = _polynomial

509 for r in _reverange(m): # [m-1 ... 0]

510 j = i + r + 1

511 X.append(_p(n, Cs, i, j) * n_ / Cs[j])

512 i = j + 1

513 n_ *= n

514 X = tuple(X)

515 else: # isSpherical

516 X = _0_0s(m + 1)

517 return X

518

519

520# _Alp- and _BetCoeffs in .rhumb.ekx, .rhumb.bases

521_AlpCoeffs = { # Generated by Maxima on 2015-05-14 22:55:13-04:00

522 4: ( # GEOGRAPHICLIB_TRANSVERSEMERCATOR_ORDER == 4

523 164, 225, -480, 360, 720, # Alp[1]/n^1, polynomial(n), order 3

524 557, -864, 390, 1440, # Alp[2]/n^2, polynomial(n), order 2

525 -1236, 427, 1680, # PYCHOK Alp[3]/n^3, polynomial(n), order 1

526 49561, 161280), # Alp[4]/n^4, polynomial(n), order 0, count = 14

527 5: ( # GEOGRAPHICLIB_TRANSVERSEMERCATOR_ORDER == 5

528 -635, 328, 450, -960, 720, 1440, # Alp[1]/n^1, polynomial(n), order 4

529 4496, 3899, -6048, 2730, 10080, # PYCHOK Alp[2]/n^2, polynomial(n), order 3

530 15061, -19776, 6832, 26880, # PYCHOK Alp[3]/n^3, polynomial(n), order 2

531 -171840, 49561, 161280, # Alp[4]/n^4, polynomial(n), order 1

532 34729, 80640), # PYCHOK Alp[5]/n^5, polynomial(n), order 0, count = 20

533 6: ( # GEOGRAPHICLIB_TRANSVERSEMERCATOR_ORDER == 6

534 31564, -66675, 34440, 47250, -100800, 75600, 151200, # Alp[1]/n^1, polynomial(n), order 5

535 -1983433, 863232, 748608, -1161216, 524160, 1935360, # PYCHOK Alp[2]/n^2, polynomial(n), order 4

536 670412, 406647, -533952, 184464, 725760, # Alp[3]/n^3, polynomial(n), order 3

537 6601661, -7732800, 2230245, 7257600, # Alp[4]/n^4, polynomial(n), order 2

538 -13675556, 3438171, 7983360, # PYCHOK Alp[5]/n^5, polynomial(n), order 1

539 212378941, 319334400), # Alp[6]/n^6, polynomial(n), order 0, count = 27

540 7: ( # GEOGRAPHICLIB_TRANSVERSEMERCATOR_ORDER == 7

541 1804025, 2020096, -4267200, 2204160, 3024000, -6451200, 4838400, 9676800, # Alp[1]/n^1, polynomial(n), order 6

542 4626384, -9917165, 4316160, 3743040, -5806080, 2620800, 9676800, # Alp[2]/n^2, polynomial(n), order 5

543 -67102379, 26816480, 16265880, -21358080, 7378560, 29030400, # PYCHOK Alp[3]/n^3, polynomial(n), order 4

544 155912000, 72618271, -85060800, 24532695, 79833600, # Alp[4]/n^4, polynomial(n), order 3

545 102508609, -109404448, 27505368, 63866880, # Alp[5]/n^5, polynomial(n), order 2

546 -12282192400, 2760926233, 4151347200, # PYCHOK Alp[6]/n^6, polynomial(n), order 1

547 1522256789, 1383782400), # Alp[7]/n^7, polynomial(n), order 0, count = 35

548 8: ( # GEOGRAPHICLIB_TRANSVERSEMERCATOR_ORDER == 8

549 -75900428, 37884525, 42422016, -89611200, 46287360, 63504000, -135475200, 101606400, 203212800, # Alp[1]/n^1, polynomial(n), order 7

550 148003883, 83274912, -178508970, 77690880, 67374720, -104509440, 47174400, 174182400, # PYCHOK Alp[2]/n^2, polynomial(n), order 6

551 318729724, -738126169, 294981280, 178924680, -234938880, 81164160, 319334400, # PYCHOK Alp[3]/n^3, polynomial(n), order 5

552 -40176129013, 14967552000, 6971354016, -8165836800, 2355138720, 7664025600, # Alp[4]/n^4, polynomial(n), order 4

553 10421654396, 3997835751, -4266773472, 1072709352, 2490808320, # PYCHOK Alp[5]/n^5, polynomial(n), order 3

554 175214326799, -171950693600, 38652967262, 58118860800, # PYCHOK Alp[6]/n^6, polynomial(n), order 2

555 -67039739596, 13700311101, 12454041600, # PYCHOK Alp[7]/n^7, polynomial(n), order 1

556 1424729850961, 743921418240) # PYCHOK Alp[8]/n^8, polynomial(n), order 0, count = 44

557}

558_B1Coeffs = { # Generated by Maxima on 2015-05-14 22:55:13-04:00

559 2: ( # GEOGRAPHICLIB_TRANSVERSEMERCATOR_ORDER/2 == 2

560 1, 16, 64, 64), # b1 * (n + 1), polynomial(n2), order 2

561 3: ( # GEOGRAPHICLIB_TRANSVERSEMERCATOR_ORDER/2 == 3

562 1, 4, 64, 256, 256), # b1 * (n + 1), polynomial(n2), order 3

563 4: ( # GEOGRAPHICLIB_TRANSVERSEMERCATOR_ORDER/2 == 4

564 25, 64, 256, 4096, 16384, 16384) # PYCHOK b1 * (n + 1), polynomial(n2), order 4

565}

566_BetCoeffs = { # Generated by Maxima on 2015-05-14 22:55:13-04:00

567 4: ( # GEOGRAPHICLIB_TRANSVERSEMERCATOR_ORDER == 4

568 -4, 555, -960, 720, 1440, # Bet[1]/n^1, polynomial(n), order 3

569 -437, 96, 30, 1440, # Bet[2]/n^2, polynomial(n), order 2

570 -148, 119, 3360, # Bet[3]/n^3, polynomial(n), order 1

571 4397, 161280), # PYCHOK Bet[4]/n^4, polynomial(n), order 0, count = 14

572 5: ( # GEOGRAPHICLIB_TRANSVERSEMERCATOR_ORDER == 5

573 -3645, -64, 8880, -15360, 11520, 23040, # Bet[1]/n^1, polynomial(n), order 4

574 4416, -3059, 672, 210, 10080, # PYCHOK Bet[2]/n^2, polynomial(n), order 3

575 -627, -592, 476, 13440, # Bet[3]/n^3, polynomial(n), order 2

576 -3520, 4397, 161280, # Bet[4]/n^4, polynomial(n), order 1

577 4583, 161280), # PYCHOK Bet[5]/n^5, polynomial(n), order 0, count = 20

578 6: ( # GEOGRAPHICLIB_TRANSVERSEMERCATOR_ORDER == 6

579 384796, -382725, -6720, 932400, -1612800, 1209600, 2419200, # Bet[1]/n^1, polynomial(n), order 5

580 -1118711, 1695744, -1174656, 258048, 80640, 3870720, # PYCHOK Bet[2]/n^2, polynomial(n), order 4

581 22276, -16929, -15984, 12852, 362880, # Bet[3]/n^3, polynomial(n), order 3

582 -830251, -158400, 197865, 7257600, # PYCHOK Bet[4]/n^4, polynomial(n), order 2

583 -435388, 453717, 15966720, # PYCHOK Bet[5]/n^5, polynomial(n), order 1

584 20648693, 638668800), # Bet[6]/n^6, polynomial(n), order 0, count = 27

585 7: ( # GEOGRAPHICLIB_TRANSVERSEMERCATOR_ORDER == 7

586 -5406467, 6156736, -6123600, -107520, 14918400, -25804800, 19353600, 38707200, # Bet[1]/n^1, polynomial(n), order 6

587 829456, -5593555, 8478720, -5873280, 1290240, 403200, 19353600, # PYCHOK Bet[2]/n^2, polynomial(n), order 5

588 9261899, 3564160, -2708640, -2557440, 2056320, 58060800, # PYCHOK Bet[3]/n^3, polynomial(n), order 4

589 14928352, -9132761, -1742400, 2176515, 79833600, # PYCHOK Bet[4]/n^4, polynomial(n), order 3

590 -8005831, -1741552, 1814868, 63866880, # Bet[5]/n^5, polynomial(n), order 2

591 -261810608, 268433009, 8302694400, # Bet[6]/n^6, polynomial(n), order 1

592 219941297, 5535129600), # PYCHOK Bet[7]/n^7, polynomial(n), order 0, count = 35

593 8: ( # GEOGRAPHICLIB_TRANSVERSEMERCATOR_ORDER == 8

594 31777436, -37845269, 43097152, -42865200, -752640, 104428800, -180633600, 135475200, 270950400, # Bet[1]/n^1, polynomial(n), order 7

595 24749483, 14930208, -100683990, 152616960, -105719040, 23224320, 7257600, 348364800, # Bet[2]/n^2, polynomial(n), order 6

596 -232468668, 101880889, 39205760, -29795040, -28131840, 22619520, 638668800, # PYCHOK Bet[3]/n^3, polynomial(n), order 5

597 324154477, 1433121792, -876745056, -167270400, 208945440, 7664025600, # Bet[4]/n^4, polynomial(n), order 4

598 457888660, -312227409, -67920528, 70779852, 2490808320, # Bet[5]/n^5, polynomial(n), order 3

599 -19841813847, -3665348512, 3758062126, 116237721600, # PYCHOK Bet[6]/n^6, polynomial(n), order 2

600 -1989295244, 1979471673, 49816166400, # PYCHOK Bet[7]/n^7, polynomial(n), order 1

601 191773887257, 3719607091200) # Bet[8]/n^8, polynomial(n), order 0, count = 44

602}

603

604 assert set(_AlpCoeffs.keys()) == set(_BetCoeffs.keys())

605

606 if __name__ == '__main__':

607

608 from pygeodesy.internals import _usage

609 from sys import argv, exit as _exit

610

611 _exit(_usage(*argv).replace('.ktm', '.etm -series'))

612

613# **) MIT License

614#

615# Copyright (C) 2022-2025 -- mrJean1 at Gmail -- All Rights Reserved.

616#

617# Permission is hereby granted, free of charge, to any person obtaining a

618# copy of this software and associated documentation files (the "Software"),

619# to deal in the Software without restriction, including without limitation

620# the rights to use, copy, modify, merge, publish, distribute, sublicense,

621# and/or sell copies of the Software, and to permit persons to whom the

622# Software is furnished to do so, subject to the following conditions:

623#

624# The above copyright notice and this permission notice shall be included

625# in all copies or substantial portions of the Software.

626#

627# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS

628# OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,

629# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL

630# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR

631# OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE,

632# ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR

633# OTHER DEALINGS IN THE SOFTWARE.