File: canada.cpp

package info (click to toggle)
reflect-cpp 0.18.0%2Bds-3
  • links: PTS, VCS
  • area: main
  • in suites: trixie
  • size: 12,524 kB
  • sloc: cpp: 44,484; python: 131; makefile: 30; sh: 3
file content (429 lines) | stat: -rw-r--r-- 13,311 bytes parent folder | download | duplicates (2)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
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
416
417
418
419
420
421
422
423
424
425
426
427
428
429
#include <benchmark/benchmark.h>
#include <rapidjson/document.h>
#include <simdjson.h>

#include <array>
#include <iostream>
#include <nlohmann/json.hpp>
#include <optional>
#include <rfl/json.hpp>
#include <type_traits>
#include <vector>

namespace canada {

// ----------------------------------------------------------------------------

struct Property {
  std::string name;
};

struct Geometry {
  rfl::Literal<"Polygon"> type;
  std::vector<std::vector<std::tuple<double, double>>> coordinates;
};

struct Feature {
  rfl::Literal<"Feature"> type;
  Property properties;
  Geometry geometry;
};

struct FeatureCollection {
  rfl::Literal<"FeatureCollection"> type;
  std::vector<Feature> features;
};

// ----------------------------------------------------------------------------

static std::string load_data() {
  return rfl::io::load_string("benchmarks/data/canada.json").value();
}

// ----------------------------------------------------------------------------
// nlohmann/json

std::vector<std::vector<std::tuple<double, double>>> nlohmann_to_coordinates(
    const nlohmann::json &_val);

Property nlohmann_to_property(const nlohmann::json &_val);

Geometry nlohmann_to_geometry(const nlohmann::json &_val);

Feature nlohmann_to_feature(const nlohmann::json &_val);

FeatureCollection nlohmann_to_feature_collection(const nlohmann::json &_val);

std::vector<std::vector<std::tuple<double, double>>> nlohmann_to_coordinates(
    const nlohmann::json &_val) {
  std::vector<std::vector<std::tuple<double, double>>> coordinates;
  for (const auto &arr1 : _val) {
    std::vector<std::tuple<double, double>> vec;
    for (const auto &arr2 : arr1) {
      std::tuple<double, double> tup;
      std::get<0>(tup) = arr2[0].template get<double>();
      std::get<1>(tup) = arr2[1].template get<double>();
      vec.emplace_back(std::move(tup));
    }
    coordinates.emplace_back(std::move(vec));
  }
  return coordinates;
}

Property nlohmann_to_property(const nlohmann::json &_val) {
  Property property;
  property.name = _val["name"].template get<std::string>();
  return property;
}

Geometry nlohmann_to_geometry(const nlohmann::json &_val) {
  Geometry geometry;
  geometry.type = _val["type"].template get<std::string>();
  geometry.coordinates = nlohmann_to_coordinates(_val["coordinates"]);
  return geometry;
}

Feature nlohmann_to_feature(const nlohmann::json &_val) {
  Feature feature;
  feature.type = _val["type"].template get<std::string>();
  feature.properties = nlohmann_to_property(_val["properties"]);
  feature.geometry = nlohmann_to_geometry(_val["geometry"]);
  return feature;
}

FeatureCollection nlohmann_to_feature_collection(const nlohmann::json &_val) {
  FeatureCollection feature_collection;
  feature_collection.type = _val["type"].template get<std::string>();
  for (const auto &val : _val["features"]) {
    feature_collection.features.push_back(nlohmann_to_feature(val));
  }
  return feature_collection;
}

static rfl::Result<FeatureCollection> read_using_nlohmann(
    const std::string &_json_string) {
  try {
    auto val = nlohmann::json::parse(_json_string);
    return nlohmann_to_feature_collection(val);
  } catch (std::exception &e) {
    return rfl::error(e.what());
  }
}

// ----------------------------------------------------------------------------
// rapidjson

std::vector<std::vector<std::tuple<double, double>>> rapidjson_to_coordinates(
    const rapidjson::Value &_arr);

Property rapidjson_to_property(const rapidjson::Value &_val);

Geometry rapidjson_to_geometry(const rapidjson::Value &_val);

Feature rapidjson_to_feature(const rapidjson::Value &_val);

FeatureCollection rapidjson_to_feature_collection(const rapidjson::Value &_val);

std::vector<std::vector<std::tuple<double, double>>> rapidjson_to_coordinates(
    const rapidjson::Value &_arr) {
  std::vector<std::vector<std::tuple<double, double>>> coordinates;
  for (auto it1 = _arr.Begin(); it1 != _arr.End(); ++it1) {
    auto arr1 = it1->GetArray();
    std::vector<std::tuple<double, double>> vec;
    for (auto it2 = arr1.Begin(); it2 != arr1.End(); ++it2) {
      auto arr2 = it2->GetArray();
      std::tuple<double, double> tup;
      std::get<0>(tup) = arr2[0].GetDouble();
      std::get<1>(tup) = arr2[1].GetDouble();
      vec.emplace_back(std::move(tup));
    }
    coordinates.emplace_back(std::move(vec));
  }
  return coordinates;
}

Property rapidjson_to_property(const rapidjson::Value &_val) {
  Property property;
  property.name = _val["name"].GetString();
  return property;
}

Geometry rapidjson_to_geometry(const rapidjson::Value &_val) {
  Geometry geometry;
  geometry.type = _val["type"].GetString();
  geometry.coordinates =
      rapidjson_to_coordinates(_val["coordinates"].GetArray());
  return geometry;
}

Feature rapidjson_to_feature(const rapidjson::Value &_val) {
  Feature feature;
  feature.type = _val["type"].GetString();
  feature.properties = rapidjson_to_property(_val["properties"].GetObject());
  feature.geometry = rapidjson_to_geometry(_val["geometry"].GetObject());
  return feature;
}

FeatureCollection rapidjson_to_feature_collection(
    const rapidjson::Value &_val) {
  FeatureCollection feature_collection;
  feature_collection.type = _val["type"].GetString();
  auto arr = _val["features"].GetArray();
  for (auto it = arr.Begin(); it != arr.End(); ++it) {
    feature_collection.features.push_back(
        rapidjson_to_feature(it->GetObject()));
  }
  return feature_collection;
}

static rfl::Result<FeatureCollection> read_using_rapidjson(
    const std::string &_json_string) {
  try {
    rapidjson::Document d;
    d.Parse(_json_string.c_str());
    return rapidjson_to_feature_collection(d.GetObject());
  } catch (std::exception &e) {
    return rfl::error(e.what());
  }
}

// ----------------------------------------------------------------------------
// simdjson

simdjson_inline std::vector<std::vector<std::tuple<double, double>>>
simdjson_to_coordinates(simdjson::ondemand::array _val);

simdjson_inline Property simdjson_to_property(simdjson::ondemand::object _val);

simdjson_inline Geometry simdjson_to_geometry(simdjson::ondemand::object _val);

simdjson_inline Feature simdjson_to_feature(simdjson::ondemand::object _val);

simdjson_inline FeatureCollection
simdjson_to_feature_collection(simdjson::ondemand::object _val);

simdjson_inline std::vector<std::vector<std::tuple<double, double>>>
simdjson_to_coordinates(simdjson::ondemand::array _val) {
  std::vector<std::vector<std::tuple<double, double>>> coordinates;
  for (auto arr1 : _val) {
    std::vector<std::tuple<double, double>> vec;
    for (auto val2 : arr1) {
      // Instead of indexing x = val2[0] and y = val2[1], we iterate through the
      // two values.
      auto coord = val2.begin();
      double x = *coord;
      ++coord;
      double y = *coord;
      vec.emplace_back(x, y);
    }
    coordinates.emplace_back(std::move(vec));
  }
  return coordinates;
}

simdjson_inline std::string simdjson_to_string(simdjson::ondemand::value _val) {
  return std::string(std::string_view(_val));
}

simdjson_inline Property simdjson_to_property(simdjson::ondemand::object _val) {
  Property property;
  property.name = std::string_view(_val["name"]);
  return property;
}

simdjson_inline Geometry simdjson_to_geometry(simdjson::ondemand::object _val) {
  Geometry geometry;
  geometry.type = simdjson_to_string(_val["type"]);
  geometry.coordinates = simdjson_to_coordinates(_val["coordinates"]);
  return geometry;
}

simdjson_inline Feature simdjson_to_feature(simdjson::ondemand::object _val) {
  Feature feature;
  feature.type = simdjson_to_string(_val["type"]);
  feature.properties = simdjson_to_property(_val["properties"]);
  feature.geometry = simdjson_to_geometry(_val["geometry"]);
  return feature;
}

simdjson_inline FeatureCollection
simdjson_to_feature_collection(simdjson::ondemand::object _val) {
  FeatureCollection feature_collection;
  feature_collection.type = simdjson_to_string(_val["type"]);
  for (auto val : _val["features"].get_array()) {
    feature_collection.features.push_back(simdjson_to_feature(val));
  }
  return feature_collection;
}

static rfl::Result<FeatureCollection> read_using_simdjson(
    const std::string &_json_string) {
  try {
    simdjson::ondemand::parser parser;
    auto padded_str = simdjson::padded_string(_json_string);
    auto doc = parser.iterate(padded_str);
    return simdjson_to_feature_collection(doc);
  } catch (std::exception &e) {
    return rfl::error(e.what());
  }
}

// ----------------------------------------------------------------------------
// yyjson

std::vector<std::vector<std::tuple<double, double>>> yyjson_to_coordinates(
    yyjson_val *_val);

Property yyjson_to_property(yyjson_val *_val);

Geometry yyjson_to_geometry(yyjson_val *_val);

Feature yyjson_to_feature(yyjson_val *_val);

FeatureCollection yyjson_to_feature_collection(yyjson_val *_val);

std::vector<std::vector<std::tuple<double, double>>> yyjson_to_coordinates(
    yyjson_val *_val) {
  std::vector<std::vector<std::tuple<double, double>>> coordinates;
  yyjson_val *v1;
  yyjson_arr_iter iter1;
  yyjson_arr_iter_init(_val, &iter1);
  while ((v1 = yyjson_arr_iter_next(&iter1))) {
    std::vector<std::tuple<double, double>> vec;
    yyjson_val *arr2;
    yyjson_arr_iter iter2;
    yyjson_arr_iter_init(v1, &iter2);
    while ((arr2 = yyjson_arr_iter_next(&iter2))) {
      std::tuple<double, double> tup;
      std::get<0>(tup) =
          static_cast<double>(yyjson_get_num(yyjson_arr_get(arr2, 0)));
      std::get<1>(tup) =
          static_cast<double>(yyjson_get_num(yyjson_arr_get(arr2, 1)));
      vec.emplace_back(std::move(tup));
    }
    coordinates.emplace_back(std::move(vec));
  }
  return coordinates;
}

Property yyjson_to_property(yyjson_val *_val) {
  Property property;
  property.name = yyjson_get_str(yyjson_obj_get(_val, "name"));
  return property;
}

Geometry yyjson_to_geometry(yyjson_val *_val) {
  Geometry geometry;
  geometry.type = std::string(yyjson_get_str(yyjson_obj_get(_val, "type")));
  geometry.coordinates =
      yyjson_to_coordinates(yyjson_obj_get(_val, "coordinates"));
  return geometry;
}

Feature yyjson_to_feature(yyjson_val *_val) {
  Feature feature;
  feature.type = std::string(yyjson_get_str(yyjson_obj_get(_val, "type")));
  feature.properties = yyjson_to_property(yyjson_obj_get(_val, "properties"));
  feature.geometry = yyjson_to_geometry(yyjson_obj_get(_val, "geometry"));
  return feature;
}

FeatureCollection yyjson_to_feature_collection(yyjson_val *_val) {
  FeatureCollection feature_collection;
  feature_collection.type =
      std::string(yyjson_get_str(yyjson_obj_get(_val, "type")));
  auto features = yyjson_obj_get(_val, "features");
  yyjson_val *feat;
  yyjson_arr_iter iter;
  yyjson_arr_iter_init(features, &iter);
  while ((feat = yyjson_arr_iter_next(&iter))) {
    feature_collection.features.push_back(yyjson_to_feature(feat));
  }
  return feature_collection;
}

static rfl::Result<FeatureCollection> read_using_yyjson(
    const std::string &_json_string) {
  yyjson_doc *doc = yyjson_read(_json_string.c_str(), _json_string.size(), 0);
  if (!doc) {
    std::cout << "Could not parse document!" << std::endl;
    return rfl::error("Could not parse document");
  }
  yyjson_val *root = yyjson_doc_get_root(doc);
  auto person = yyjson_to_feature_collection(root);
  yyjson_doc_free(doc);
  return person;

  try {
    auto val = nlohmann::json::parse(_json_string);
    return nlohmann_to_feature_collection(val);
  } catch (std::exception &e) {
    return rfl::error(e.what());
  }
}

// ----------------------------------------------------------------------------

static void BM_canada_nlohmann(benchmark::State &state) {
  const auto json_string = load_data();
  for (auto _ : state) {
    const auto res = read_using_nlohmann(json_string);
    if (!res) {
      std::cout << res.error().what() << std::endl;
    }
  }
}
BENCHMARK(BM_canada_nlohmann);

static void BM_canada_rapidjson(benchmark::State &state) {
  const auto json_string = load_data();
  for (auto _ : state) {
    const auto res = read_using_rapidjson(json_string);
    if (!res) {
      std::cout << res.error().what() << std::endl;
    }
  }
}
BENCHMARK(BM_canada_rapidjson);

#ifndef __clang__

// simdjson has a bug in clang.
static void BM_canada_simdjson(benchmark::State &state) {
  const auto json_string = load_data();
  for (auto _ : state) {
    const auto res = read_using_simdjson(json_string);
    if (!res) {
      std::cout << res.error().what() << std::endl;
    }
  }
}
BENCHMARK(BM_canada_simdjson);

#endif

static void BM_canada_yyjson(benchmark::State &state) {
  const auto json_string = load_data();
  for (auto _ : state) {
    const auto res = read_using_yyjson(json_string);
    if (!res) {
      std::cout << res.error().what() << std::endl;
    }
  }
}
BENCHMARK(BM_canada_yyjson);

static void BM_canada_reflect_cpp(benchmark::State &state) {
  const auto json_string = load_data();
  for (auto _ : state) {
    const auto res = rfl::json::read<FeatureCollection>(json_string);
    if (!res) {
      std::cout << res.error().what() << std::endl;
    }
  }
}
BENCHMARK(BM_canada_reflect_cpp);

// ----------------------------------------------------------------------------

}  // namespace canada