xtensor/test/test_xoptional_assembly_adaptor.cpp at master · xtensor-stack/xtensor · GitHub

Repository navigation

History

100

101

102

103

104

105

106

107

108

109

110

111

112

113

114

115

116

117

118

119

120

121

122

123

124

125

126

127

128

129

130

131

132

133

134

135

136

137

138

139

140

141

142

143

144

145

146

147

148

149

150

151

152

153

154

155

156

157

158

159

160

161

162

163

164

165

166

167

168

169

170

171

172

173

174

175

176

177

178

179

180

181

182

183

184

185

186

187

188

189

190

191

192

193

194

195

196

197

198

199

200

201

202

203

204

205

206

207

208

209

210

211

212

213

214

215

216

217

218

219

220

221

222

223

224

225

226

227

228

229

230

231

232

233

234

235

236

237

238

239

240

241

242

243

244

245

246

247

248

249

250

251

252

253

254

255

256

257

258

259

260

261

262

263

264

265

266

267

268

269

270

271

272

273

274

275

276

277

278

279

280

281

282

283

284

285

286

287

288

289

290

291

292

293

294

295

296

297

298

299

300

301

302

303

304

305

306

307

308

309

310

311

312

313

314

315

316

317

318

319

320

321

322

323

324

325

326

327

328

329

330

331

332

333

334

335

336

337

338

339

340

341

342

343

344

345

346

347

348

349

350

351

352

353

354

355

356

357

358

359

360

361

362

363

364

365

366

367

368

369

370

371

372

373

374

375

376

377

378

379

380

381

382

383

384

385

386

387

388

389

390

391

392

393

394

395

396

397

398

399

400

401

402

403

404

405

406

407

408

409

410

411

412

413

414

415

/***************************************************************************

* Copyright (c) Johan Mabille, Sylvain Corlay and Wolf Vollprecht *

* Copyright (c) QuantStack *

* *

* Distributed under the terms of the BSD 3-Clause License. *

* *

* The full license is in the file LICENSE, distributed with this software. *

****************************************************************************/

#include "xtensor/containers/xarray.hpp"

#include "xtensor/io/xio.hpp"

#include "xtensor/optional/xoptional_assembly.hpp"

#include "test_common.hpp"

#include "test_common_macros.hpp"

namespace xt

{

using array_type = xarray<int, layout_type::dynamic>;

using flag_array_type = xarray<bool, layout_type::dynamic>;

using adaptor_type = xoptional_assembly_adaptor<array_type&, flag_array_type&>;

TEST(xoptional_assembly_adaptor, constructor)

{

array_type v = {{1, 2, 3}, {4, 5, 6}};

flag_array_type hv = {{true, false, true}, {false, true, false}};

adaptor_type a(v, hv);

compare_shape(a, v);

}

TEST(xoptional_assembly_adaptor, copy_semantic)

{

array_type v = {{1, 2, 3}, {4, 5, 6}};

flag_array_type hv = {{true, false, true}, {false, true, false}};

adaptor_type a(v, hv);

SUBCASE("copy constructor")

{

adaptor_type b(a);

compare_shape(a, b);

EXPECT_EQ(a.value().storage(), b.value().storage());

EXPECT_EQ(a.has_value().storage(), b.has_value().storage());

}

SUBCASE("assignment operator")

{

array_type v2 = {{1, 2, 13}, {14, 15, 16}};

flag_array_type hv2 = {{false, true, true}, {false, true, false}};

adaptor_type c(v2, hv2);

EXPECT_NE(a.value().storage(), c.value().storage());

EXPECT_NE(a.has_value().storage(), c.has_value().storage());

c = a;

compare_shape(a, c);

EXPECT_EQ(a.value().storage(), c.value().storage());

EXPECT_EQ(a.has_value().storage(), c.has_value().storage());

}

TEST(xoptional_assembly_adaptor, move_semantic)

{

array_type v = {{1, 2, 3}, {4, 5, 6}};

flag_array_type hv = {{true, false, true}, {false, true, false}};

adaptor_type a(v, hv);

SUBCASE("copy constructor")

{

adaptor_type tmp(a);

adaptor_type b(std::move(tmp));

compare_shape(a, b);

EXPECT_EQ(a.value().storage(), b.value().storage());

EXPECT_EQ(a.has_value().storage(), b.has_value().storage());

}

SUBCASE("assignment operator")

{

array_type v2 = {{1, 2, 13}, {14, 15, 16}};

flag_array_type hv2 = {{false, true, true}, {false, true, false}};

adaptor_type c(v2, hv2);

EXPECT_NE(a.value().storage(), c.value().storage());

EXPECT_NE(a.has_value().storage(), c.has_value().storage());

adaptor_type tmp(a);

c = std::move(tmp);

compare_shape(a, c);

EXPECT_EQ(a.value().storage(), c.value().storage());

EXPECT_EQ(a.has_value().storage(), c.has_value().storage());

}

TEST(xoptional_assembly_adaptor, resize)

{

array_type v = {{1, 2, 3}, {4, 5, 6}};

flag_array_type hv = {{true, false, true}, {false, true, false}};

adaptor_type a(v, hv);

test_resize(a);

compare_shape(a.value(), a.has_value());

}

TEST(xoptional_assembly_adaptor, reshape)

{

array_type v = {{1, 2, 3}, {4, 5, 6}};

flag_array_type hv = {{true, false, true}, {false, true, false}};

adaptor_type a(v, hv);

test_reshape(a);

compare_shape(a.value(), a.has_value());

}

TEST(xoptional_assembly_adaptor, access)

{

using opt = xtl::xoptional<int>;

array_type v = {{1, 2, 3}, {4, 5, 6}};

flag_array_type hv = {{true, false, true}, {false, true, false}};

adaptor_type a(v, hv);

EXPECT_EQ(a(0, 0), opt(1, true));

EXPECT_EQ(a(0, 1), opt(2, false));

EXPECT_EQ(a(0, 2), opt(3, true));

EXPECT_EQ(a(1, 0), opt(4, false));

EXPECT_EQ(a(1, 1), opt(5, true));

EXPECT_EQ(a(1, 2), opt(6, false));

}

TEST(xoptional_assembly_adaptor, at)

{

using opt = xtl::xoptional<int>;

array_type v = {{1, 2, 3}, {4, 5, 6}};

flag_array_type hv = {{true, false, true}, {false, true, false}};

adaptor_type a(v, hv);

EXPECT_EQ(a.at(0, 0), opt(1, true));

EXPECT_EQ(a.at(0, 1), opt(2, false));

EXPECT_EQ(a.at(0, 2), opt(3, true));

EXPECT_EQ(a.at(1, 0), opt(4, false));

EXPECT_EQ(a.at(1, 1), opt(5, true));

EXPECT_EQ(a.at(1, 2), opt(6, false));

}

TEST(xoptional_assembly_adaptor, element)

{

using opt = xtl::xoptional<int>;

array_type v = {{1, 2, 3}, {4, 5, 6}};

flag_array_type hv = {{true, false, true}, {false, true, false}};

adaptor_type a(v, hv);

std::vector<std::size_t> v00({0, 0}), v01({0, 1}), v02({0, 2}), v10({1, 0}), v11({1, 1}), v12({1, 2});

EXPECT_EQ(a.element(v00.begin(), v00.end()), opt(1, true));

EXPECT_EQ(a.element(v01.begin(), v01.end()), opt(2, false));

EXPECT_EQ(a.element(v02.begin(), v02.end()), opt(3, true));

EXPECT_EQ(a.element(v10.begin(), v10.end()), opt(4, false));

EXPECT_EQ(a.element(v11.begin(), v11.end()), opt(5, true));

EXPECT_EQ(a.element(v12.begin(), v12.end()), opt(6, false));

}

TEST(xoptional_assembly_adaptor, indexed_access)

{

using opt = xtl::xoptional<int>;

array_type v = {{1, 2, 3}, {4, 5, 6}};

flag_array_type hv = {{true, false, true}, {false, true, false}};

adaptor_type a(v, hv);

xindex i00({0, 0}), i01({0, 1}), i02({0, 2}), i10({1, 0}), i11({1, 1}), i12({1, 2});

EXPECT_EQ(a[i00], opt(1, true));

EXPECT_EQ((a[{0, 0}]), opt(1, true));

EXPECT_EQ(a[i01], opt(2, false));

EXPECT_EQ((a[{0, 1}]), opt(2, false));

EXPECT_EQ(a[i02], opt(3, true));

EXPECT_EQ((a[{0, 2}]), opt(3, true));

EXPECT_EQ(a[i10], opt(4, false));

EXPECT_EQ((a[{1, 0}]), opt(4, false));

EXPECT_EQ(a[i11], opt(5, true));

EXPECT_EQ((a[{1, 1}]), opt(5, true));

EXPECT_EQ(a[i12], opt(6, false));

EXPECT_EQ((a[{1, 2}]), opt(6, false));

}

TEST(xoptional_assembly_adaptor, broadcast_shape)

{

using shape_type = adaptor_type::shape_type;

shape_type s = {3, 1, 4, 2};

array_type v(s);

flag_array_type hv(s);

adaptor_type a(v, hv);

SUBCASE("same shape")

{

shape_type s1 = s;

bool res = a.broadcast_shape(s1);

EXPECT_EQ(s1, s);

EXPECT_TRUE(res);

}

SUBCASE("different shape")

{

shape_type s2 = {3, 5, 1, 2};

shape_type s2r = {3, 5, 4, 2};

bool res = a.broadcast_shape(s2);

EXPECT_EQ(s2, s2r);

EXPECT_FALSE(res);

}

SUBCASE("incompatible shapes")

{

shape_type s4 = {2, 1, 3, 2};

XT_EXPECT_THROW(a.broadcast_shape(s4), broadcast_error);

}

{

shape_type s2 = {3, 1, 4, 2};

SUBCASE("different dimensions")

a.resize(s2);

shape_type s3 = {5, 3, 1, 4, 2};

shape_type s3r = s3;

bool res = a.broadcast_shape(s3);

EXPECT_EQ(s3, s3r);

EXPECT_FALSE(res);

}

TEST(xoptional_assembly_adaptor, iterator)

{

using opt = xtl::xoptional<int>;

std::vector<opt> vec = {opt(1), opt(2, false), opt(3, false), opt(4)};

SUBCASE("row_major storage iterator")

{

xarray<int, layout_type::row_major> v;

xarray<bool, layout_type::row_major> hv;

xoptional_assembly_adaptor<decltype(v)&, decltype(hv)&> rma(v, hv);

rma.resize({2, 2});

std::copy(vec.cbegin(), vec.cend(), rma.begin<layout_type::row_major>());

EXPECT_EQ(vec[0], rma(0, 0));

EXPECT_EQ(vec[1], rma(0, 1));

EXPECT_EQ(vec[2], rma(1, 0));

EXPECT_EQ(vec[3], rma(1, 1));

EXPECT_EQ(

vec.size(),

std::size_t(std::distance(rma.begin<layout_type::row_major>(), rma.end<layout_type::row_major>()))

);

}

SUBCASE("column_major storage iterator")

{

xarray<int, layout_type::row_major> v;

xarray<bool, layout_type::row_major> hv;

xoptional_assembly_adaptor<decltype(v)&, decltype(hv)&> cma(v, hv);

cma.resize({2, 2});

std::copy(vec.cbegin(), vec.cend(), cma.begin<layout_type::column_major>());

EXPECT_EQ(vec[0], cma(0, 0));

EXPECT_EQ(vec[1], cma(1, 0));

EXPECT_EQ(vec[2], cma(0, 1));

EXPECT_EQ(vec[3], cma(1, 1));

EXPECT_EQ(

vec.size(),

std::size_t(

std::distance(cma.begin<layout_type::column_major>(), cma.end<layout_type::column_major>())

)

);

}

TEST(xoptional_assembly_adaptor, xiterator)

{

row_major_result<> rm;

array_type a;

a.resize(rm.m_shape, layout_type::row_major);

a.fill(0);

a(1, 1, 0) = rm.m_assigner[1][1][0];

a[0] = 4;

flag_array_type fa(rm.m_shape, true);

size_t nb_iter = a.size() / 2;

using shape_type = std::vector<size_t>;

adaptor_type vec(a, fa);

// broadcast_iterator

{

auto iter = vec.begin<layout_type::row_major>();

auto iter_end = vec.end<layout_type::row_major>();

for (size_t i = 0; i < nb_iter; ++i)

{

++iter;

}

EXPECT_EQ(vec.value().storage()[nb_iter], *iter);

for (size_t i = 0; i < nb_iter; ++i)

{

++iter;

}

EXPECT_EQ(iter, iter_end);

}

// shaped_xiterator

{

shape_type shape(rm.m_shape.size() + 1);

std::copy(rm.m_shape.begin(), rm.m_shape.end(), shape.begin() + 1);

shape[0] = 2;

auto iter = vec.begin<layout_type::row_major>(shape);

auto iter_end = vec.end<layout_type::row_major>(shape);

for (size_t i = 0; i < 2 * nb_iter; ++i)

{

++iter;

}

EXPECT_EQ(vec(0, 0), *iter);

for (size_t i = 0; i < 2 * nb_iter; ++i)

{

++iter;

}

EXPECT_EQ(iter, iter_end);

}

// column broadcast_iterator

{

auto iter = vec.begin<layout_type::column_major>();

auto iter_end = vec.end<layout_type::column_major>();

for (size_t i = 0; i < nb_iter; ++i)

{

++iter;

}

EXPECT_EQ(vec(0, 0, 2), *iter);

for (size_t i = 0; i < nb_iter; ++i)

{

++iter;

}

EXPECT_EQ(iter, iter_end);

}

// column shaped_xiterator

{

shape_type shape(rm.m_shape.size() + 1);

std::copy(rm.m_shape.begin(), rm.m_shape.end(), shape.begin() + 1);

shape[0] = 2;

auto iter = vec.begin<layout_type::column_major>(shape);

auto iter_end = vec.end<layout_type::column_major>(shape);

for (size_t i = 0; i < 2 * nb_iter; ++i)

{

++iter;

}

EXPECT_EQ(vec(0, 0, 2), *iter);

for (size_t i = 0; i < 2 * nb_iter; ++i)

{

++iter;

}

EXPECT_EQ(iter, iter_end);

}

TEST(xoptional_assembly_adaptor, reverse_xiterator)

{

row_major_result<> rm;

array_type a;

a.resize(rm.m_shape, layout_type::row_major);

a(1, 0, 3) = rm.m_assigner[1][0][3];

a(2, 1, 3) = 2;

flag_array_type fa(rm.m_shape, true);

size_t nb_iter = a.size() / 2;

using shape_type = std::vector<size_t>;

adaptor_type vec(a, fa);

// broadcast_iterator

{

auto iter = vec.rbegin<layout_type::row_major>();

auto iter_end = vec.rend<layout_type::row_major>();

for (size_t i = 0; i < nb_iter; ++i)

{

++iter;

}

EXPECT_EQ(vec.value().storage()[nb_iter - 1], *iter);

for (size_t i = 0; i < nb_iter; ++i)

{

++iter;

}

EXPECT_EQ(iter, iter_end);

}

// shaped_xiterator

{

shape_type shape(rm.m_shape.size() + 1);

std::copy(rm.m_shape.begin(), rm.m_shape.end(), shape.begin() + 1);

shape[0] = 2;

auto iter = vec.rbegin<layout_type::row_major>(shape);

auto iter_end = vec.rend<layout_type::row_major>(shape);

for (size_t i = 0; i < 2 * nb_iter; ++i)

{

++iter;

}

EXPECT_EQ(vec.value().storage()[2 * nb_iter - 1], *iter);

for (size_t i = 0; i < 2 * nb_iter; ++i)

{

++iter;

}

EXPECT_EQ(iter, iter_end);

}

TEST(xoptional_assembly_adaptor, semantic)

{

array_type v = {{1, 2}, {3, 4}};

flag_array_type hv = {{true, false}, {false, true}};

adaptor_type a(v, hv);

adaptor_type b(a);

array_type vres;

flag_array_type hvres;

adaptor_type res(vres, hvres);

res = a + b;

EXPECT_EQ(res(0, 0), a(0, 0) + b(0, 0));

EXPECT_EQ(res(0, 1), a(0, 1) + b(0, 1));

EXPECT_EQ(res(1, 0), a(1, 0) + b(1, 0));

EXPECT_EQ(res(1, 1), a(1, 1) + b(1, 1));

res = a;

res += b;

EXPECT_EQ(res(0, 0), a(0, 0) + b(0, 0));

EXPECT_EQ(res(0, 1), a(0, 1) + b(0, 1));

EXPECT_EQ(res(1, 0), a(1, 0) + b(1, 0));

EXPECT_EQ(res(1, 1), a(1, 1) + b(1, 1));

}

xtensor/test/test_xoptional_assembly_adaptor.cpp at master · xtensor-stack/xtensor · GitHub

Repository navigation

Expand file tree

Breadcrumbs

test_xoptional_assembly_adaptor.cpp

Latest commit

History

Breadcrumbs

test_xoptional_assembly_adaptor.cpp

File metadata and controls