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| 1 | +/****************************************************************************** |
| 2 | +* Copyright (c) 2019, Hobu Inc. ([email protected]) |
| 3 | +* |
| 4 | +* All rights reserved. |
| 5 | +* |
| 6 | +* Redistribution and use in source and binary forms, with or without |
| 7 | +* modification, are permitted provided that the following |
| 8 | +* conditions are met: |
| 9 | +* |
| 10 | +* * Redistributions of source code must retain the above copyright |
| 11 | +* notice, this list of conditions and the following disclaimer. |
| 12 | +* * Redistributions in binary form must reproduce the above copyright |
| 13 | +* notice, this list of conditions and the following disclaimer in |
| 14 | +* the documentation and/or other materials provided |
| 15 | +* with the distribution. |
| 16 | +* * Neither the name of Hobu, Inc. or Flaxen Geo Consulting nor the |
| 17 | +* names of its contributors may be used to endorse or promote |
| 18 | +* products derived from this software without specific prior |
| 19 | +* written permission. |
| 20 | +* |
| 21 | +* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS |
| 22 | +* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT |
| 23 | +* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS |
| 24 | +* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE |
| 25 | +* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, |
| 26 | +* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, |
| 27 | +* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS |
| 28 | +* OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED |
| 29 | +* AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, |
| 30 | +* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT |
| 31 | +* OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY |
| 32 | +* OF SUCH DAMAGE. |
| 33 | +****************************************************************************/ |
| 34 | + |
| 35 | +#include "PyArray.hpp" |
| 36 | +#include <pdal/io/MemoryViewReader.hpp> |
| 37 | + |
| 38 | +#include <numpy/arrayobject.h> |
| 39 | + |
| 40 | +namespace pdal |
| 41 | +{ |
| 42 | +namespace python |
| 43 | +{ |
| 44 | + |
| 45 | +namespace |
| 46 | +{ |
| 47 | + |
| 48 | +Dimension::Type pdalType(int t) |
| 49 | +{ |
| 50 | + using namespace Dimension; |
| 51 | + |
| 52 | + switch (t) |
| 53 | + { |
| 54 | + case NPY_FLOAT32: |
| 55 | + return Type::Float; |
| 56 | + case NPY_FLOAT64: |
| 57 | + return Type::Double; |
| 58 | + case NPY_INT8: |
| 59 | + return Type::Signed8; |
| 60 | + case NPY_INT16: |
| 61 | + return Type::Signed16; |
| 62 | + case NPY_INT32: |
| 63 | + return Type::Signed32; |
| 64 | + case NPY_INT64: |
| 65 | + return Type::Signed64; |
| 66 | + case NPY_UINT8: |
| 67 | + return Type::Unsigned8; |
| 68 | + case NPY_UINT16: |
| 69 | + return Type::Unsigned16; |
| 70 | + case NPY_UINT32: |
| 71 | + return Type::Unsigned32; |
| 72 | + case NPY_UINT64: |
| 73 | + return Type::Unsigned64; |
| 74 | + default: |
| 75 | + return Type::None; |
| 76 | + } |
| 77 | + assert(0); |
| 78 | + |
| 79 | + return Type::None; |
| 80 | +} |
| 81 | + |
| 82 | +std::string toString(PyObject *pname) |
| 83 | +{ |
| 84 | + PyObject* r = PyObject_Str(pname); |
| 85 | + if (!r) |
| 86 | + throw pdal_error("couldn't make string representation value"); |
| 87 | + Py_ssize_t size; |
| 88 | + return std::string(PyUnicode_AsUTF8AndSize(r, &size)); |
| 89 | +} |
| 90 | + |
| 91 | +} // unnamed namespace |
| 92 | + |
| 93 | +Array::Array() : m_array(nullptr) |
| 94 | +{ |
| 95 | + if (_import_array() < 0) |
| 96 | + throw pdal_error("Could not import numpy.core.multiarray."); |
| 97 | +} |
| 98 | + |
| 99 | +Array::Array(PyArrayObject* array) : m_array(array), m_rowMajor(true) |
| 100 | +{ |
| 101 | + if (_import_array() < 0) |
| 102 | + throw pdal_error("Could not import numpy.core.multiarray."); |
| 103 | + |
| 104 | + Py_XINCREF(array); |
| 105 | + |
| 106 | + PyArray_Descr *dtype = PyArray_DTYPE(m_array); |
| 107 | + npy_intp ndims = PyArray_NDIM(m_array); |
| 108 | + npy_intp *shape = PyArray_SHAPE(m_array); |
| 109 | + int numFields = (dtype->fields == Py_None) ? |
| 110 | + 0 : |
| 111 | + static_cast<int>(PyDict_Size(dtype->fields)); |
| 112 | + |
| 113 | + int xyz = 0; |
| 114 | + if (numFields == 0) |
| 115 | + { |
| 116 | + if (ndims != 3) |
| 117 | + throw pdal_error("Array without fields must have 3 dimensions."); |
| 118 | + m_fields.push_back({"Intensity", pdalType(dtype->type_num), 0}); |
| 119 | + } |
| 120 | + else |
| 121 | + { |
| 122 | + PyObject *names_dict = dtype->fields; |
| 123 | + PyObject *names = PyDict_Keys(names_dict); |
| 124 | + PyObject *values = PyDict_Values(names_dict); |
| 125 | + if (!names || !values) |
| 126 | + throw pdal_error("Bad field specification in numpy array."); |
| 127 | + |
| 128 | + for (int i = 0; i < numFields; ++i) |
| 129 | + { |
| 130 | + std::string name = toString(PyList_GetItem(names, i)); |
| 131 | + if (name == "X") |
| 132 | + xyz |= 1; |
| 133 | + else if (name == "Y") |
| 134 | + xyz |= 2; |
| 135 | + else if (name == "Z") |
| 136 | + xyz |= 4; |
| 137 | + PyObject *tup = PyList_GetItem(values, i); |
| 138 | + |
| 139 | + // Get offset. |
| 140 | + size_t offset = PyLong_AsLong(PySequence_Fast_GET_ITEM(tup, 1)); |
| 141 | + |
| 142 | + // Get type. |
| 143 | + PyArray_Descr *descriptor = |
| 144 | + (PyArray_Descr *)PySequence_Fast_GET_ITEM(tup, 0); |
| 145 | + Dimension::Type type = pdalType(descriptor->type_num); |
| 146 | + if (type == Dimension::Type::None) |
| 147 | + throw pdal_error("Incompatible type for field '" + name + "'."); |
| 148 | + |
| 149 | + m_fields.push_back({name, type, offset}); |
| 150 | + } |
| 151 | + |
| 152 | + if (xyz != 0 && xyz != 7) |
| 153 | + throw pdal_error("Array fields must contain all or none " |
| 154 | + "of X, Y and Z"); |
| 155 | + if (xyz == 0 && ndims != 3) |
| 156 | + throw pdal_error("Array without named X/Y/Z fields " |
| 157 | + "must have three dimensions."); |
| 158 | + } |
| 159 | + if (xyz == 0) |
| 160 | + m_shape = { (size_t)shape[0], (size_t)shape[1], (size_t)shape[2] }; |
| 161 | + m_rowMajor = !(PyArray_FLAGS(m_array) & NPY_ARRAY_F_CONTIGUOUS); |
| 162 | +} |
| 163 | + |
| 164 | +Array::~Array() |
| 165 | +{ |
| 166 | + if (m_array) |
| 167 | + Py_XDECREF((PyObject *)m_array); |
| 168 | +} |
| 169 | + |
| 170 | + |
| 171 | +void Array::update(PointViewPtr view) |
| 172 | +{ |
| 173 | + if (m_array) |
| 174 | + Py_XDECREF((PyObject *)m_array); |
| 175 | + m_array = nullptr; // Just in case of an exception. |
| 176 | + |
| 177 | + Dimension::IdList dims = view->dims(); |
| 178 | + npy_intp size = view->size(); |
| 179 | + |
| 180 | + PyObject *dtype_dict = (PyObject*)buildNumpyDescription(view); |
| 181 | + if (!dtype_dict) |
| 182 | + throw pdal_error("Unable to build numpy dtype " |
| 183 | + "description dictionary"); |
| 184 | + |
| 185 | + PyArray_Descr *dtype = nullptr; |
| 186 | + if (PyArray_DescrConverter(dtype_dict, &dtype) == NPY_FAIL) |
| 187 | + throw pdal_error("Unable to build numpy dtype"); |
| 188 | + Py_XDECREF(dtype_dict); |
| 189 | + |
| 190 | + // This is a 1 x size array. |
| 191 | + m_array = (PyArrayObject *)PyArray_NewFromDescr(&PyArray_Type, dtype, |
| 192 | + 1, &size, 0, nullptr, NPY_ARRAY_CARRAY, nullptr); |
| 193 | + |
| 194 | + // copy the data |
| 195 | + DimTypeList types = view->dimTypes(); |
| 196 | + for (PointId idx = 0; idx < view->size(); idx++) |
| 197 | + { |
| 198 | + char *p = (char *)PyArray_GETPTR1(m_array, idx); |
| 199 | + view->getPackedPoint(types, idx, p); |
| 200 | + } |
| 201 | +} |
| 202 | + |
| 203 | + |
| 204 | +//ABELL - Who's responsible for incrementing the ref count? |
| 205 | +PyArrayObject *Array::getPythonArray() const |
| 206 | +{ |
| 207 | + return m_array; |
| 208 | +} |
| 209 | + |
| 210 | +PyObject* Array::buildNumpyDescription(PointViewPtr view) const |
| 211 | +{ |
| 212 | + // Build up a numpy dtype dictionary |
| 213 | + // |
| 214 | + // {'formats': ['f8', 'f8', 'f8', 'u2', 'u1', 'u1', 'u1', 'u1', 'u1', |
| 215 | + // 'f4', 'u1', 'u2', 'f8', 'u2', 'u2', 'u2'], |
| 216 | + // 'names': ['X', 'Y', 'Z', 'Intensity', 'ReturnNumber', |
| 217 | + // 'NumberOfReturns', 'ScanDirectionFlag', 'EdgeOfFlightLine', |
| 218 | + // 'Classification', 'ScanAngleRank', 'UserData', |
| 219 | + // 'PointSourceId', 'GpsTime', 'Red', 'Green', 'Blue']} |
| 220 | + // |
| 221 | + |
| 222 | + Dimension::IdList dims = view->dims(); |
| 223 | + |
| 224 | + PyObject* dict = PyDict_New(); |
| 225 | + PyObject* sizes = PyList_New(dims.size()); |
| 226 | + PyObject* formats = PyList_New(dims.size()); |
| 227 | + PyObject* titles = PyList_New(dims.size()); |
| 228 | + |
| 229 | + for (size_t i = 0; i < dims.size(); ++i) |
| 230 | + { |
| 231 | + Dimension::Id id = dims[i]; |
| 232 | + Dimension::Type t = view->dimType(id); |
| 233 | + npy_intp stride = view->dimSize(id); |
| 234 | + |
| 235 | + std::string name = view->dimName(id); |
| 236 | + |
| 237 | + std::string kind("i"); |
| 238 | + Dimension::BaseType b = Dimension::base(t); |
| 239 | + if (b == Dimension::BaseType::Unsigned) |
| 240 | + kind = "u"; |
| 241 | + else if (b == Dimension::BaseType::Signed) |
| 242 | + kind = "i"; |
| 243 | + else if (b == Dimension::BaseType::Floating) |
| 244 | + kind = "f"; |
| 245 | + else |
| 246 | + throw pdal_error("Unable to map kind '" + kind + |
| 247 | + "' to PDAL dimension type"); |
| 248 | + |
| 249 | + std::stringstream oss; |
| 250 | + oss << kind << stride; |
| 251 | + PyObject* pySize = PyLong_FromLong(stride); |
| 252 | + PyObject* pyTitle = PyUnicode_FromString(name.c_str()); |
| 253 | + PyObject* pyFormat = PyUnicode_FromString(oss.str().c_str()); |
| 254 | + |
| 255 | + PyList_SetItem(sizes, i, pySize); |
| 256 | + PyList_SetItem(titles, i, pyTitle); |
| 257 | + PyList_SetItem(formats, i, pyFormat); |
| 258 | + } |
| 259 | + |
| 260 | + PyDict_SetItemString(dict, "names", titles); |
| 261 | + PyDict_SetItemString(dict, "formats", formats); |
| 262 | + |
| 263 | + return dict; |
| 264 | +} |
| 265 | + |
| 266 | +bool Array::rowMajor() const |
| 267 | +{ |
| 268 | + return m_rowMajor; |
| 269 | +} |
| 270 | + |
| 271 | +Array::Shape Array::shape() const |
| 272 | +{ |
| 273 | + return m_shape; |
| 274 | +} |
| 275 | + |
| 276 | +const Array::Fields& Array::fields() const |
| 277 | +{ |
| 278 | + return m_fields; |
| 279 | +} |
| 280 | + |
| 281 | +ArrayIter& Array::iterator() |
| 282 | +{ |
| 283 | + ArrayIter *it = new ArrayIter(*this); |
| 284 | + m_iterators.push_back(std::unique_ptr<ArrayIter>(it)); |
| 285 | + return *it; |
| 286 | +} |
| 287 | + |
| 288 | +ArrayIter::ArrayIter(Array& array) |
| 289 | +{ |
| 290 | + m_iter = NpyIter_New(array.getPythonArray(), |
| 291 | + NPY_ITER_EXTERNAL_LOOP | NPY_ITER_READONLY | NPY_ITER_REFS_OK, |
| 292 | + NPY_KEEPORDER, NPY_NO_CASTING, NULL); |
| 293 | + if (!m_iter) |
| 294 | + throw pdal_error("Unable to create numpy iterator."); |
| 295 | + |
| 296 | + char *itererr; |
| 297 | + m_iterNext = NpyIter_GetIterNext(m_iter, &itererr); |
| 298 | + if (!m_iterNext) |
| 299 | + { |
| 300 | + NpyIter_Deallocate(m_iter); |
| 301 | + throw pdal_error(std::string("Unable to create numpy iterator: ") + |
| 302 | + itererr); |
| 303 | + } |
| 304 | + m_data = NpyIter_GetDataPtrArray(m_iter); |
| 305 | + m_stride = NpyIter_GetInnerStrideArray(m_iter); |
| 306 | + m_size = NpyIter_GetInnerLoopSizePtr(m_iter); |
| 307 | + m_done = false; |
| 308 | +} |
| 309 | + |
| 310 | +ArrayIter::~ArrayIter() |
| 311 | +{ |
| 312 | + NpyIter_Deallocate(m_iter); |
| 313 | +} |
| 314 | + |
| 315 | +ArrayIter& ArrayIter::operator++() |
| 316 | +{ |
| 317 | + if (m_done) |
| 318 | + return *this; |
| 319 | + |
| 320 | + if (--(*m_size)) |
| 321 | + *m_data += *m_stride; |
| 322 | + else if (!m_iterNext(m_iter)) |
| 323 | + m_done = true; |
| 324 | + return *this; |
| 325 | +} |
| 326 | + |
| 327 | +ArrayIter::operator bool () const |
| 328 | +{ |
| 329 | + return !m_done; |
| 330 | +} |
| 331 | + |
| 332 | +char * ArrayIter::operator * () const |
| 333 | +{ |
| 334 | + return *m_data; |
| 335 | +} |
| 336 | + |
| 337 | +} // namespace python |
| 338 | +} // namespace pdal |
| 339 | + |
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