http://git-wip-us.apache.org/repos/asf/arrow-site/blob/4c7c2f1b/docs/cpp/numpy__convert_8h.html ---------------------------------------------------------------------- diff --git a/docs/cpp/numpy__convert_8h.html b/docs/cpp/numpy__convert_8h.html index ed256df..0c3e84e 100644 --- a/docs/cpp/numpy__convert_8h.html +++ b/docs/cpp/numpy__convert_8h.html @@ -103,14 +103,16 @@ Functions</h2></td></tr> <tr class="separator:a1d8a85306c0b562037827048b2db437e"><td class="memSeparator" colspan="2"> </td></tr> <tr class="memitem:a9d0ba3df1922f37090d3de6db967aa72"><td class="memItemLeft" align="right" valign="top">Status </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearrow_1_1py.html#a9d0ba3df1922f37090d3de6db967aa72">arrow::py::NumPyDtypeToArrow</a> (PyObject *dtype, std::shared_ptr< DataType > *out)</td></tr> <tr class="separator:a9d0ba3df1922f37090d3de6db967aa72"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:afd4c5e3640cbc20223d1e97a6bd74d05"><td class="memItemLeft" align="right" valign="top">Status </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearrow_1_1py.html#afd4c5e3640cbc20223d1e97a6bd74d05">arrow::py::NumPyDtypeToArrow</a> (PyArray_Descr *descr, std::shared_ptr< DataType > *out)</td></tr> +<tr class="separator:afd4c5e3640cbc20223d1e97a6bd74d05"><td class="memSeparator" colspan="2"> </td></tr> <tr class="memitem:ae76597d71eb5cb4c3258d4fc78398fe2"><td class="memItemLeft" align="right" valign="top">Status </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearrow_1_1py.html#ae76597d71eb5cb4c3258d4fc78398fe2">arrow::py::GetTensorType</a> (PyObject *dtype, std::shared_ptr< DataType > *out)</td></tr> <tr class="separator:ae76597d71eb5cb4c3258d4fc78398fe2"><td class="memSeparator" colspan="2"> </td></tr> <tr class="memitem:a6f60766d0864ddaaceabe28b4f9542df"><td class="memItemLeft" align="right" valign="top">Status </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearrow_1_1py.html#a6f60766d0864ddaaceabe28b4f9542df">arrow::py::GetNumPyType</a> (const DataType &type, int *type_num)</td></tr> <tr class="separator:a6f60766d0864ddaaceabe28b4f9542df"><td class="memSeparator" colspan="2"> </td></tr> <tr class="memitem:acf548283df305290d6797233eb10ea8f"><td class="memItemLeft" align="right" valign="top">Status </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearrow_1_1py.html#acf548283df305290d6797233eb10ea8f">arrow::py::NdarrayToTensor</a> (MemoryPool *pool, PyObject *ao, std::shared_ptr< Tensor > *out)</td></tr> <tr class="separator:acf548283df305290d6797233eb10ea8f"><td class="memSeparator" colspan="2"> </td></tr> -<tr class="memitem:a6d731c1a770fd9042f71d1c79a359cac"><td class="memItemLeft" align="right" valign="top">Status </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearrow_1_1py.html#a6d731c1a770fd9042f71d1c79a359cac">arrow::py::TensorToNdarray</a> (const Tensor &tensor, PyObject *base, PyObject **out)</td></tr> -<tr class="separator:a6d731c1a770fd9042f71d1c79a359cac"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a7f7d06817328d1c20588e22aad75dea5"><td class="memItemLeft" align="right" valign="top">Status </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearrow_1_1py.html#a7f7d06817328d1c20588e22aad75dea5">arrow::py::TensorToNdarray</a> (const std::shared_ptr< Tensor > &tensor, PyObject *base, PyObject **out)</td></tr> +<tr class="separator:a7f7d06817328d1c20588e22aad75dea5"><td class="memSeparator" colspan="2"> </td></tr> </table> </div><!-- contents --> <!-- start footer part -->
http://git-wip-us.apache.org/repos/asf/arrow-site/blob/4c7c2f1b/docs/cpp/numpy__convert_8h_source.html ---------------------------------------------------------------------- diff --git a/docs/cpp/numpy__convert_8h_source.html b/docs/cpp/numpy__convert_8h_source.html index c92a95c..a347bbb 100644 --- a/docs/cpp/numpy__convert_8h_source.html +++ b/docs/cpp/numpy__convert_8h_source.html @@ -70,9 +70,9 @@ $(function() { <div class="title">numpy_convert.h</div> </div> </div><!--header--> <div class="contents"> -<a href="numpy__convert_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">// Licensed to the Apache Software Foundation (ASF) under one</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// or more contributor license agreements. See the NOTICE file</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// distributed with this work for additional information</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">// regarding copyright ownership. The ASF licenses this file</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment">// to you under the Apache License, Version 2.0 (the</span></div><div class="line"><a name="l00006"></a><spa n class="lineno"> 6</span> <span class="comment">// "License"); you may not use this file except in compliance</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment">// with the License. You may obtain a copy of the License at</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment">//</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment">// http://www.apache.org/licenses/LICENSE-2.0</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment">//</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment">// Unless required by applicable law or agreed to in writing,</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment">// software distri buted under the License is distributed on an</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment">// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment">// KIND, either express or implied. See the License for the</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment">// specific language governing permissions and limitations</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment">// under the License.</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> </div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment">// Functions for converting between pandas's NumPy-based data representation</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment">// and Arrow data structures</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="preprocessor">#ifndef ARROW_PYTHON_NUMPY_CONVERT_H</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="preprocessor">#define ARROW_PYTHON_NUMPY_CONVERT_H</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> </div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include "<a class="code" href="platform_8h.html">arrow/python/platform.h</a>"</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="prep rocessor">#include <memory></span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include <string></span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="buffer_8h.html">arrow/buffer.h</a>"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="visibility_8h.html">arrow/util/visibility.h</a>"</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="keyword">namespace </span><a class="code" href="namespacearrow.html">arrow</a> {</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="keyword">class </span>DataType;</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="keyword">class </span>MemoryPool;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="keyword">class </span>Status;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="keyword">class </span>Tensor;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="keyword">namespace </span>py {</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div><div class="line"><a name="l00041"></a><span class="lineno"><a class="line" href="classarrow_1_1py_1_1_num_py_buffer.html"> 41</a></span> <span class="keyword">cla ss </span>ARROW_EXPORT <a class="code" href="classarrow_1_1py_1_1_num_py_buffer.html">NumPyBuffer</a> : <span class="keyword">public</span> <a class="code" href="classarrow_1_1_buffer.html">Buffer</a> {</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keyword">public</span>:</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keyword">explicit</span> <a class="code" href="classarrow_1_1py_1_1_num_py_buffer.html">NumPyBuffer</a>(PyObject* arr);</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keyword">virtual</span> ~<a class="code" href="classarrow_1_1py_1_1_num_py_buffer.html">NumPyBuffer</a>();</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keyword">private</span>:</div><div class="line"><a name="l00047"></a> <span class="lineno"> 47</span>  PyObject* arr_;</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> };</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment">// Handle misbehaved types like LONGLONG and ULONGLONG</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> ARROW_EXPORT</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="keywordtype">int</span> <a class="code" href="namespacearrow_1_1py.html#a2dc076087e72fcc661e948407e631d44">cast_npy_type_compat</a>(<span class="keywordtype">int</span> type_num);</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> ARROW_EXPORT</div><div class="line"><a name="l00055"></a><span c lass="lineno"> 55</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearrow_1_1py.html#a1d8a85306c0b562037827048b2db437e">is_contiguous</a>(PyObject* array);</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> </div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> ARROW_EXPORT</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <a class="code" href="classarrow_1_1_status.html">Status</a> <a class="code" href="namespacearrow_1_1py.html#a9d0ba3df1922f37090d3de6db967aa72">NumPyDtypeToArrow</a>(PyObject* dtype, std::shared_ptr<DataType>* out);</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> </div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <a class="code" href="classarrow_1_1_status.html">Status</a> <a class="code" href="namespacearrow_1_1py.html#ae76597d71eb5cb4c3258d4fc78398fe2">GetTensorTyp e</a>(PyObject* dtype, std::shared_ptr<DataType>* out);</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <a class="code" href="classarrow_1_1_status.html">Status</a> <a class="code" href="namespacearrow_1_1py.html#a6f60766d0864ddaaceabe28b4f9542df">GetNumPyType</a>(<span class="keyword">const</span> <a class="code" href="classarrow_1_1_data_type.html">DataType</a>& type, <span class="keywordtype">int</span>* type_num);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> </div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> ARROW_EXPORT <a class="code" href="classarrow_1_1_status.html">Status</a> <a class="code" href="namespacearrow_1_1py.html#acf548283df305290d6797233eb10ea8f">NdarrayToTensor</a>(<a class="code" href="classarrow_1_1_memory_pool.html">MemoryPool</a>* pool, PyObject* ao,</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  std::shared_ptr<Tensor>* out);</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> ARROW_EXPORT <a class="code" href="classarrow_1_1_status.html">Status</a> <a class="code" href="namespacearrow_1_1py.html#a6d731c1a770fd9042f71d1c79a359cac">TensorToNdarray</a>(<span class="keyword">const</span> <a class="code" href="classarrow_1_1_tensor.html">Tensor</a>& tensor, PyObject* base, PyObject** out);</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> } <span class="comment">// namespace py</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> } <span class="comment">// namespace arrow</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div><div class=" line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="preprocessor">#endif // ARROW_PYTHON_NUMPY_CONVERT_H</span></div><div class="ttc" id="classarrow_1_1py_1_1_num_py_buffer_html"><div class="ttname"><a href="classarrow_1_1py_1_1_num_py_buffer.html">arrow::py::NumPyBuffer</a></div><div class="ttdef"><b>Definition:</b> numpy_convert.h:41</div></div> +<a href="numpy__convert_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">// Licensed to the Apache Software Foundation (ASF) under one</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// or more contributor license agreements. See the NOTICE file</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// distributed with this work for additional information</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">// regarding copyright ownership. The ASF licenses this file</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment">// to you under the Apache License, Version 2.0 (the</span></div><div class="line"><a name="l00006"></a><spa n class="lineno"> 6</span> <span class="comment">// "License"); you may not use this file except in compliance</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment">// with the License. You may obtain a copy of the License at</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment">//</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment">// http://www.apache.org/licenses/LICENSE-2.0</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment">//</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment">// Unless required by applicable law or agreed to in writing,</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment">// software distri buted under the License is distributed on an</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment">// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment">// KIND, either express or implied. See the License for the</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment">// specific language governing permissions and limitations</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment">// under the License.</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> </div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment">// Functions for converting between pandas's NumPy-based data representation</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment">// and Arrow data structures</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="preprocessor">#ifndef ARROW_PYTHON_NUMPY_CONVERT_H</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="preprocessor">#define ARROW_PYTHON_NUMPY_CONVERT_H</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> </div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include "<a class="code" href="platform_8h.html">arrow/python/platform.h</a>"</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="prep rocessor">#include <memory></span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include <string></span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="buffer_8h.html">arrow/buffer.h</a>"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="visibility_8h.html">arrow/util/visibility.h</a>"</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="keyword">namespace </span><a class="code" href="namespacearrow.html">arrow</a> {</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="keyword">class </span>DataType;</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="keyword">class </span>MemoryPool;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="keyword">class </span>Status;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="keyword">class </span>Tensor;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="keyword">namespace </span>py {</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div><div class="line"><a name="l00041"></a><span class="lineno"><a class="line" href="classarrow_1_1py_1_1_num_py_buffer.html"> 41</a></span> <span class="keyword">cla ss </span>ARROW_EXPORT <a class="code" href="classarrow_1_1py_1_1_num_py_buffer.html">NumPyBuffer</a> : <span class="keyword">public</span> <a class="code" href="classarrow_1_1_buffer.html">Buffer</a> {</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keyword">public</span>:</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keyword">explicit</span> <a class="code" href="classarrow_1_1py_1_1_num_py_buffer.html">NumPyBuffer</a>(PyObject* arr);</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keyword">virtual</span> ~<a class="code" href="classarrow_1_1py_1_1_num_py_buffer.html">NumPyBuffer</a>();</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keyword">private</span>:</div><div class="line"><a name="l00047"></a> <span class="lineno"> 47</span>  PyObject* arr_;</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> };</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment">// Handle misbehaved types like LONGLONG and ULONGLONG</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> ARROW_EXPORT</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="keywordtype">int</span> <a class="code" href="namespacearrow_1_1py.html#a2dc076087e72fcc661e948407e631d44">cast_npy_type_compat</a>(<span class="keywordtype">int</span> type_num);</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> ARROW_EXPORT</div><div class="line"><a name="l00055"></a><span c lass="lineno"> 55</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearrow_1_1py.html#a1d8a85306c0b562037827048b2db437e">is_contiguous</a>(PyObject* array);</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> </div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> ARROW_EXPORT</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <a class="code" href="classarrow_1_1_status.html">Status</a> <a class="code" href="namespacearrow_1_1py.html#a9d0ba3df1922f37090d3de6db967aa72">NumPyDtypeToArrow</a>(PyObject* dtype, std::shared_ptr<DataType>* out);</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> ARROW_EXPORT</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <a class="code" href="classarrow_1_1_status.html">Status</a> <a class="code" href="namespacearrow_1_1py.html#a9d0ba3df1922f37090d3de6db967aa72"> NumPyDtypeToArrow</a>(PyArray_Descr* descr, std::shared_ptr<DataType>* out);</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> </div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <a class="code" href="classarrow_1_1_status.html">Status</a> <a class="code" href="namespacearrow_1_1py.html#ae76597d71eb5cb4c3258d4fc78398fe2">GetTensorType</a>(PyObject* dtype, std::shared_ptr<DataType>* out);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <a class="code" href="classarrow_1_1_status.html">Status</a> <a class="code" href="namespacearrow_1_1py.html#a6f60766d0864ddaaceabe28b4f9542df">GetNumPyType</a>(<span class="keyword">const</span> <a class="code" href="classarrow_1_1_data_type.html">DataType</a>& type, <span class="keywordtype">int</span>* type_num);</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> </div><div class="line"><a name="l00065"> </a><span class="lineno"> 65</span> ARROW_EXPORT <a class="code" href="classarrow_1_1_status.html">Status</a> <a class="code" href="namespacearrow_1_1py.html#acf548283df305290d6797233eb10ea8f">NdarrayToTensor</a>(<a class="code" href="classarrow_1_1_memory_pool.html">MemoryPool</a>* pool, PyObject* ao,</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  std::shared_ptr<Tensor>* out);</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> ARROW_EXPORT <a class="code" href="classarrow_1_1_status.html">Status</a> <a class="code" href="namespacearrow_1_1py.html#a7f7d06817328d1c20588e22aad75dea5">TensorToNdarray</a>(<span class="keyword">const</span> std::shared_ptr<Tensor>& tensor, PyObject* base,</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  PyObject** out);</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> } <span class="comment">// namespace py</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> } <span class="comment">// namespace arrow</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> </div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="preprocessor">#endif // ARROW_PYTHON_NUMPY_CONVERT_H</span></div><div class="ttc" id="classarrow_1_1py_1_1_num_py_buffer_html"><div class="ttname"><a href="classarrow_1_1py_1_1_num_py_buffer.html">arrow::py::NumPyBuffer</a></div><div class="ttdef"><b>Definition:</b> numpy_convert.h:41</div></div> <div class="ttc" id="namespacearrow_1_1py_html_a6f60766d0864ddaaceabe28b4f9542df"><div class="ttname"><a href="namespacearrow_1_1py.html#a6f60766d0864ddaaceabe28b4f9542df">arrow::py::GetNumPyType</a></div><div class="ttdeci">Status GetNumPyType(const DataType &type, int *type_num)</div></div> -<div class="ttc" id="classarrow_1_1_tensor_html"><div class="ttname"><a href="classarrow_1_1_tensor.html">arrow::Tensor</a></div><div class="ttdef"><b>Definition:</b> tensor.h:53</div></div> +<div class="ttc" id="namespacearrow_1_1py_html_a7f7d06817328d1c20588e22aad75dea5"><div class="ttname"><a href="namespacearrow_1_1py.html#a7f7d06817328d1c20588e22aad75dea5">arrow::py::TensorToNdarray</a></div><div class="ttdeci">Status TensorToNdarray(const std::shared_ptr< Tensor > &tensor, PyObject *base, PyObject **out)</div></div> <div class="ttc" id="platform_8h_html"><div class="ttname"><a href="platform_8h.html">platform.h</a></div></div> <div class="ttc" id="namespacearrow_1_1py_html_acf548283df305290d6797233eb10ea8f"><div class="ttname"><a href="namespacearrow_1_1py.html#acf548283df305290d6797233eb10ea8f">arrow::py::NdarrayToTensor</a></div><div class="ttdeci">Status NdarrayToTensor(MemoryPool *pool, PyObject *ao, std::shared_ptr< Tensor > *out)</div></div> <div class="ttc" id="classarrow_1_1_status_html"><div class="ttname"><a href="classarrow_1_1_status.html">arrow::Status</a></div><div class="ttdef"><b>Definition:</b> status.h:106</div></div> @@ -84,9 +84,8 @@ $(function() { <div class="ttc" id="buffer_8h_html"><div class="ttname"><a href="buffer_8h.html">buffer.h</a></div></div> <div class="ttc" id="namespacearrow_1_1py_html_a9d0ba3df1922f37090d3de6db967aa72"><div class="ttname"><a href="namespacearrow_1_1py.html#a9d0ba3df1922f37090d3de6db967aa72">arrow::py::NumPyDtypeToArrow</a></div><div class="ttdeci">Status NumPyDtypeToArrow(PyObject *dtype, std::shared_ptr< DataType > *out)</div></div> <div class="ttc" id="classarrow_1_1_memory_pool_html"><div class="ttname"><a href="classarrow_1_1_memory_pool.html">arrow::MemoryPool</a></div><div class="ttdoc">Base class for memory allocation. </div><div class="ttdef"><b>Definition:</b> memory_pool.h:34</div></div> -<div class="ttc" id="classarrow_1_1_buffer_html"><div class="ttname"><a href="classarrow_1_1_buffer.html">arrow::Buffer</a></div><div class="ttdoc">Immutable API for a chunk of bytes which may or may not be owned by the class instance. </div><div class="ttdef"><b>Definition:</b> buffer.h:48</div></div> +<div class="ttc" id="classarrow_1_1_buffer_html"><div class="ttname"><a href="classarrow_1_1_buffer.html">arrow::Buffer</a></div><div class="ttdoc">Object containing a pointer to a piece of contiguous memory with a particular size. </div><div class="ttdef"><b>Definition:</b> buffer.h:48</div></div> <div class="ttc" id="classarrow_1_1_data_type_html"><div class="ttname"><a href="classarrow_1_1_data_type.html">arrow::DataType</a></div><div class="ttdef"><b>Definition:</b> type.h:136</div></div> -<div class="ttc" id="namespacearrow_1_1py_html_a6d731c1a770fd9042f71d1c79a359cac"><div class="ttname"><a href="namespacearrow_1_1py.html#a6d731c1a770fd9042f71d1c79a359cac">arrow::py::TensorToNdarray</a></div><div class="ttdeci">Status TensorToNdarray(const Tensor &tensor, PyObject *base, PyObject **out)</div></div> </div><!-- fragment --></div><!-- contents --> <!-- start footer part --> <hr class="footer"/><address class="footer"><small> http://git-wip-us.apache.org/repos/asf/arrow-site/blob/4c7c2f1b/docs/cpp/numpy__interop_8h.html ---------------------------------------------------------------------- diff --git a/docs/cpp/numpy__interop_8h.html b/docs/cpp/numpy__interop_8h.html index 1c6fabb..3343a82 100644 --- a/docs/cpp/numpy__interop_8h.html +++ b/docs/cpp/numpy__interop_8h.html @@ -77,6 +77,7 @@ $(function() { <div class="textblock"><code>#include "<a class="el" href="platform_8h_source.html">arrow/python/platform.h</a>"</code><br /> <code>#include <numpy/numpyconfig.h></code><br /> <code>#include <numpy/arrayobject.h></code><br /> +<code>#include <numpy/arrayscalars.h></code><br /> <code>#include <numpy/ufuncobject.h></code><br /> </div> <p><a href="numpy__interop_8h_source.html">Go to the source code of this file.</a></p> @@ -103,6 +104,10 @@ Macros</h2></td></tr> <tr class="separator:a7d399fcbebb74300921248d831d6ab6f"><td class="memSeparator" colspan="2"> </td></tr> <tr class="memitem:ad2cd12e09a08db7cbcae2e74f723d6c4"><td class="memItemLeft" align="right" valign="top">#define </td><td class="memItemRight" valign="bottom"><a class="el" href="numpy__interop_8h.html#ad2cd12e09a08db7cbcae2e74f723d6c4">NO_IMPORT_ARRAY</a></td></tr> <tr class="separator:ad2cd12e09a08db7cbcae2e74f723d6c4"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a035731736e66cf6787fa800cf3817246"><td class="memItemLeft" align="right" valign="top">#define </td><td class="memItemRight" valign="bottom"><a class="el" href="numpy__interop_8h.html#a035731736e66cf6787fa800cf3817246">NPY_INT64_IS_LONG_LONG</a>   0</td></tr> +<tr class="separator:a035731736e66cf6787fa800cf3817246"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad3b1ac3466f0db89a488f10e19ebe33b"><td class="memItemLeft" align="right" valign="top">#define </td><td class="memItemRight" valign="bottom"><a class="el" href="numpy__interop_8h.html#ad3b1ac3466f0db89a488f10e19ebe33b">NPY_INT32_IS_INT</a>   0</td></tr> +<tr class="separator:ad3b1ac3466f0db89a488f10e19ebe33b"><td class="memSeparator" colspan="2"> </td></tr> </table><table class="memberdecls"> <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a> Functions</h2></td></tr> @@ -180,6 +185,34 @@ Functions</h2></td></tr> </div> </div> +<a id="ad3b1ac3466f0db89a488f10e19ebe33b"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ad3b1ac3466f0db89a488f10e19ebe33b">◆ </a></span>NPY_INT32_IS_INT</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">#define NPY_INT32_IS_INT   0</td> + </tr> + </table> +</div><div class="memdoc"> + +</div> +</div> +<a id="a035731736e66cf6787fa800cf3817246"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a035731736e66cf6787fa800cf3817246">◆ </a></span>NPY_INT64_IS_LONG_LONG</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">#define NPY_INT64_IS_LONG_LONG   0</td> + </tr> + </table> +</div><div class="memdoc"> + +</div> +</div> <a id="a7d399fcbebb74300921248d831d6ab6f"></a> <h2 class="memtitle"><span class="permalink"><a href="#a7d399fcbebb74300921248d831d6ab6f">◆ </a></span>PY_ARRAY_UNIQUE_SYMBOL</h2> http://git-wip-us.apache.org/repos/asf/arrow-site/blob/4c7c2f1b/docs/cpp/numpy__interop_8h_source.html ---------------------------------------------------------------------- diff --git a/docs/cpp/numpy__interop_8h_source.html b/docs/cpp/numpy__interop_8h_source.html index 6509008..dbb4989 100644 --- a/docs/cpp/numpy__interop_8h_source.html +++ b/docs/cpp/numpy__interop_8h_source.html @@ -70,8 +70,8 @@ $(function() { <div class="title">numpy_interop.h</div> </div> </div><!--header--> <div class="contents"> -<a href="numpy__interop_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">// Licensed to the Apache Software Foundation (ASF) under one</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// or more contributor license agreements. See the NOTICE file</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// distributed with this work for additional information</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">// regarding copyright ownership. The ASF licenses this file</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment">// to you under the Apache License, Version 2.0 (the</span></div><div class="line"><a name="l00006"></a><spa n class="lineno"> 6</span> <span class="comment">// "License"); you may not use this file except in compliance</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment">// with the License. You may obtain a copy of the License at</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment">//</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment">// http://www.apache.org/licenses/LICENSE-2.0</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment">//</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment">// Unless required by applicable law or agreed to in writing,</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment">// software distri buted under the License is distributed on an</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment">// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment">// KIND, either express or implied. See the License for the</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment">// specific language governing permissions and limitations</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment">// under the License.</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> </div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="preprocessor">#ifndef PYARROW_NUMPY_INTEROP_H</span></div><div class="line"><a name="l00019"></a><span clas s="lineno"> 19</span> <span class="preprocessor">#define PYARROW_NUMPY_INTEROP_H</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="preprocessor">#include "<a class="code" href="platform_8h.html">arrow/python/platform.h</a>"</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> </div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="preprocessor">#include <numpy/numpyconfig.h></span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> </div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="comment">// Don't use the deprecated Numpy functions</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#ifdef NPY_1_7_API_V ERSION</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#else</span></div><div class="line"><a name="l00029"></a><span class="lineno"><a class="line" href="numpy__interop_8h.html#ac8a802bab03d4971c4d59b840579808e"> 29</a></span> <span class="preprocessor">#define NPY_ARRAY_NOTSWAPPED NPY_NOTSWAPPED</span></div><div class="line"><a name="l00030"></a><span class="lineno"><a class="line" href="numpy__interop_8h.html#ae60e185ff8ade7341b0c53ca1e80255f"> 30</a></span> <span class="preprocessor">#define NPY_ARRAY_ALIGNED NPY_ALIGNED</span></div><div class="line"><a name="l00031"></a><span class="lineno"><a class="line" href="numpy__interop_8h.html#a685e97c65cc63ab8073772796cbcbcfd"> 31</a></span> <span class="preprocessor">#define NPY_ARR AY_WRITEABLE NPY_WRITEABLE</span></div><div class="line"><a name="l00032"></a><span class="lineno"><a class="line" href="numpy__interop_8h.html#a118a68a7b8d21e9cbf1c2ac3d61542ef"> 32</a></span> <span class="preprocessor">#define NPY_ARRAY_UPDATEIFCOPY NPY_UPDATEIFCOPY</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> </div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="comment">// This is required to be able to access the NumPy C API properly in C++ files</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="comment">// other than this main one</span></div><div class="line"><a name="l00037"></a><span class="lineno"><a class="line" href="numpy__interop_8h.html#a7d399fcbebb74300921248d831d6ab6f"> 37</a></span> <span cl ass="preprocessor">#define PY_ARRAY_UNIQUE_SYMBOL arrow_ARRAY_API</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#ifndef NUMPY_IMPORT_ARRAY</span></div><div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="numpy__interop_8h.html#ad2cd12e09a08db7cbcae2e74f723d6c4"> 39</a></span> <span class="preprocessor">#define NO_IMPORT_ARRAY</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> </div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="preprocessor">#include <numpy/arrayobject.h></span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="preprocessor">#include <numpy/ufuncobject.h></span></div><div class="line"><a name="l00044" ></a><span class="lineno"> 44</span> </div><div class="line"><a >name="l00045"></a><span class="lineno"> 45</span> <span >class="keyword">namespace </span><a class="code" >href="namespacearrow.html">arrow</a> {</div><div class="line"><a >name="l00046"></a><span class="lineno"> 46</span> <span >class="keyword">namespace </span>py {</div><div class="line"><a >name="l00047"></a><span class="lineno"> 47</span> </div><div >class="line"><a name="l00048"></a><span class="lineno"><a class="line" >href="namespacearrow_1_1py.html#aed44255c90822cd2a6a0b2e6764dc2ac"> >48</a></span> <span class="keyword">inline</span> <span >class="keywordtype">int</span> <a class="code" >href="namespacearrow_1_1py.html#aed44255c90822cd2a6a0b2e6764dc2ac">import_numpy</a>() > {</div><div class="line"><a name="l00049"></a><span class="lineno"> >49</span> <span class="preprocessor">#ifdef >NUMPY_IMPORT_ARRAY</span></div><div class="line"><a name="l00050"></a><span >class="lineno"> 50</sp an>  import_array1(-1);</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  import_umath1(-1);</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keywordflow">return</span> 0;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> }</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> </div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> } <span class="comment">// namespace py</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> } <span class="comment">// namespace arrow</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> </div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="preprocessor">#endif // PYARROW_NUMPY_INTEROP_H</span></div><div class="ttc" id="platform_8h_html"><div class="ttname"><a href="platform_8h.html">platform.h</a></div></div> -<div class="ttc" id="namespacearrow_1_1py_html_aed44255c90822cd2a6a0b2e6764dc2ac"><div class="ttname"><a href="namespacearrow_1_1py.html#aed44255c90822cd2a6a0b2e6764dc2ac">arrow::py::import_numpy</a></div><div class="ttdeci">int import_numpy()</div><div class="ttdef"><b>Definition:</b> numpy_interop.h:48</div></div> +<a href="numpy__interop_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">// Licensed to the Apache Software Foundation (ASF) under one</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// or more contributor license agreements. See the NOTICE file</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// distributed with this work for additional information</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">// regarding copyright ownership. The ASF licenses this file</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment">// to you under the Apache License, Version 2.0 (the</span></div><div class="line"><a name="l00006"></a><spa n class="lineno"> 6</span> <span class="comment">// "License"); you may not use this file except in compliance</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment">// with the License. You may obtain a copy of the License at</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment">//</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment">// http://www.apache.org/licenses/LICENSE-2.0</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment">//</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment">// Unless required by applicable law or agreed to in writing,</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment">// software distri buted under the License is distributed on an</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment">// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment">// KIND, either express or implied. See the License for the</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment">// specific language governing permissions and limitations</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment">// under the License.</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> </div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="preprocessor">#ifndef PYARROW_NUMPY_INTEROP_H</span></div><div class="line"><a name="l00019"></a><span clas s="lineno"> 19</span> <span class="preprocessor">#define PYARROW_NUMPY_INTEROP_H</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="preprocessor">#include "<a class="code" href="platform_8h.html">arrow/python/platform.h</a>"</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> </div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="preprocessor">#include <numpy/numpyconfig.h></span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> </div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="comment">// Don't use the deprecated Numpy functions</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#ifdef NPY_1_7_API_V ERSION</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#else</span></div><div class="line"><a name="l00029"></a><span class="lineno"><a class="line" href="numpy__interop_8h.html#ac8a802bab03d4971c4d59b840579808e"> 29</a></span> <span class="preprocessor">#define NPY_ARRAY_NOTSWAPPED NPY_NOTSWAPPED</span></div><div class="line"><a name="l00030"></a><span class="lineno"><a class="line" href="numpy__interop_8h.html#ae60e185ff8ade7341b0c53ca1e80255f"> 30</a></span> <span class="preprocessor">#define NPY_ARRAY_ALIGNED NPY_ALIGNED</span></div><div class="line"><a name="l00031"></a><span class="lineno"><a class="line" href="numpy__interop_8h.html#a685e97c65cc63ab8073772796cbcbcfd"> 31</a></span> <span class="preprocessor">#define NPY_ARR AY_WRITEABLE NPY_WRITEABLE</span></div><div class="line"><a name="l00032"></a><span class="lineno"><a class="line" href="numpy__interop_8h.html#a118a68a7b8d21e9cbf1c2ac3d61542ef"> 32</a></span> <span class="preprocessor">#define NPY_ARRAY_UPDATEIFCOPY NPY_UPDATEIFCOPY</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> </div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="comment">// This is required to be able to access the NumPy C API properly in C++ files</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="comment">// other than this main one</span></div><div class="line"><a name="l00037"></a><span class="lineno"><a class="line" href="numpy__interop_8h.html#a7d399fcbebb74300921248d831d6ab6f"> 37</a></span> <span cl ass="preprocessor">#define PY_ARRAY_UNIQUE_SYMBOL arrow_ARRAY_API</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#ifndef NUMPY_IMPORT_ARRAY</span></div><div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="numpy__interop_8h.html#ad2cd12e09a08db7cbcae2e74f723d6c4"> 39</a></span> <span class="preprocessor">#define NO_IMPORT_ARRAY</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> </div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="preprocessor">#include <numpy/arrayobject.h></span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="preprocessor">#include <numpy/arrayscalars.h></span></div><div class="line"><a name="l00044 "></a><span class="lineno"> 44</span> <span class="preprocessor">#include <numpy/ufuncobject.h></span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="comment">// A bit subtle. Numpy has 5 canonical integer types:</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="comment">// (or, rather, type pairs: signed and unsigned)</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="comment">// NPY_BYTE, NPY_SHORT, NPY_INT, NPY_LONG, NPY_LONGLONG</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="comment">// It also has 4 fixed-width integer aliases.</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment">// When mapping Arrow integer types t o these 4 fixed-width aliases,</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="comment">// we always miss one of the canonical types (even though it may</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="comment">// have the same width as one of the aliases).</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="comment">// Which one depends on the platform...</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment">// On a LP64 system, NPY_INT64 maps to NPY_LONG and</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="comment">// NPY_LONGLONG needs to be handled separately.</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="comment">// On a LLP64 system, NPY_INT32 maps to NP Y_LONG and</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment">// NPY_INT needs to be handled separately.</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> </div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="preprocessor">#if NPY_BITSOF_LONG == 32 && NPY_BITSOF_LONGLONG == 64</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="preprocessor">#define NPY_INT64_IS_LONG_LONG 1</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="preprocessor">#else</span></div><div class="line"><a name="l00062"></a><span class="lineno"><a class="line" href="numpy__interop_8h.html#a035731736e66cf6787fa800cf3817246"> 62</a></span> <span class="preprocessor">#define NPY_INT64_IS_LONG_LONG 0</span></div><div class="line"><a name="l00063"></a><span cla ss="lineno"> 63</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> </div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="preprocessor">#if NPY_BITSOF_INT == 32 && NPY_BITSOF_LONG == 64</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="preprocessor">#define NPY_INT32_IS_INT 1</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="preprocessor">#else</span></div><div class="line"><a name="l00068"></a><span class="lineno"><a class="line" href="numpy__interop_8h.html#ad3b1ac3466f0db89a488f10e19ebe33b"> 68</a></span> <span class="preprocessor">#define NPY_INT32_IS_INT 0</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00070"></a><spa n class="lineno"> 70</span> </div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="keyword">namespace </span><a class="code" href="namespacearrow.html">arrow</a> {</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="keyword">namespace </span>py {</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> </div><div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="namespacearrow_1_1py.html#aed44255c90822cd2a6a0b2e6764dc2ac"> 74</a></span> <span class="keyword">inline</span> <span class="keywordtype">int</span> <a class="code" href="namespacearrow_1_1py.html#aed44255c90822cd2a6a0b2e6764dc2ac">import_numpy</a>() {</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="preprocessor">#ifdef NUMPY_IMPORT_ARRAY</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  import_array1(-1);</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  import_umath1(-1);</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> </div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keywordflow">return</span> 0;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> }</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> </div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> } <span class="comment">// namespace py</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> } <span class="comment">// namespace arrow</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> </div><div class="l ine"><a name="l00086"></a><span class="lineno"> 86</span> <span class="preprocessor">#endif // PYARROW_NUMPY_INTEROP_H</span></div><div class="ttc" id="platform_8h_html"><div class="ttname"><a href="platform_8h.html">platform.h</a></div></div> +<div class="ttc" id="namespacearrow_1_1py_html_aed44255c90822cd2a6a0b2e6764dc2ac"><div class="ttname"><a href="namespacearrow_1_1py.html#aed44255c90822cd2a6a0b2e6764dc2ac">arrow::py::import_numpy</a></div><div class="ttdeci">int import_numpy()</div><div class="ttdef"><b>Definition:</b> numpy_interop.h:74</div></div> <div class="ttc" id="namespacearrow_html"><div class="ttname"><a href="namespacearrow.html">arrow</a></div><div class="ttdoc">Top-level namespace for Apache Arrow C++ API. </div><div class="ttdef"><b>Definition:</b> adapter.h:32</div></div> </div><!-- fragment --></div><!-- contents --> <!-- start footer part --> http://git-wip-us.apache.org/repos/asf/arrow-site/blob/4c7c2f1b/docs/cpp/plasma_2common_8h_source.html ---------------------------------------------------------------------- diff --git a/docs/cpp/plasma_2common_8h_source.html b/docs/cpp/plasma_2common_8h_source.html index 09b2884..6a38d20 100644 --- a/docs/cpp/plasma_2common_8h_source.html +++ b/docs/cpp/plasma_2common_8h_source.html @@ -83,7 +83,7 @@ $(function() { <div class="ttc" id="structplasma_1_1_unique_i_d_hasher_html_aff38c1428f7b9a9ef906c160af179271"><div class="ttname"><a href="structplasma_1_1_unique_i_d_hasher.html#aff38c1428f7b9a9ef906c160af179271">plasma::UniqueIDHasher::operator()</a></div><div class="ttdeci">size_t operator()(const UniqueID &id) const</div><div class="ttdef"><b>Definition:</b> common.h:56</div></div> <div class="ttc" id="namespaceplasma_html_ad35158aba7ee89d76433affdb9a820ef"><div class="ttname"><a href="namespaceplasma.html#ad35158aba7ee89d76433affdb9a820ef">plasma::plasma_error_status</a></div><div class="ttdeci">arrow::Status plasma_error_status(int plasma_error)</div></div> <div class="ttc" id="namespaceplasma_html_a3eb1f03a21e0d30051f71ea0dffb60b6"><div class="ttname"><a href="namespaceplasma.html#a3eb1f03a21e0d30051f71ea0dffb60b6">plasma::ObjectStatusLocal</a></div><div class="ttdeci">int ObjectStatusLocal</div></div> -<div class="ttc" id="namespaceplasma_html"><div class="ttname"><a href="namespaceplasma.html">plasma</a></div><div class="ttdef"><b>Definition:</b> client.h:37</div></div> +<div class="ttc" id="namespaceplasma_html"><div class="ttname"><a href="namespaceplasma.html">plasma</a></div><div class="ttdef"><b>Definition:</b> client.h:40</div></div> <div class="ttc" id="structplasma_1_1_object_request_html_a3672e0c6a1496a33066b33df03f57d93"><div class="ttname"><a href="structplasma_1_1_object_request.html#a3672e0c6a1496a33066b33df03f57d93">plasma::ObjectRequest::status</a></div><div class="ttdeci">int status</div><div class="ttdoc">Object status. </div><div class="ttdef"><b>Definition:</b> common.h:87</div></div> <div class="ttc" id="compat_8h_html"><div class="ttname"><a href="compat_8h.html">compat.h</a></div></div> <div class="ttc" id="structplasma_1_1_unique_i_d_hasher_html"><div class="ttname"><a href="structplasma_1_1_unique_i_d_hasher.html">plasma::UniqueIDHasher</a></div><div class="ttdef"><b>Definition:</b> common.h:54</div></div> http://git-wip-us.apache.org/repos/asf/arrow-site/blob/4c7c2f1b/docs/cpp/plasma_2io_8h_source.html ---------------------------------------------------------------------- diff --git a/docs/cpp/plasma_2io_8h_source.html b/docs/cpp/plasma_2io_8h_source.html index 5825d3a..92fd0d9 100644 --- a/docs/cpp/plasma_2io_8h_source.html +++ b/docs/cpp/plasma_2io_8h_source.html @@ -77,7 +77,7 @@ $(function() { <div class="ttc" id="namespaceplasma_html_a921c700c8cae2dd7bf7a47f07c53bd46"><div class="ttname"><a href="namespaceplasma.html#a921c700c8cae2dd7bf7a47f07c53bd46">plasma::AcceptClient</a></div><div class="ttdeci">int AcceptClient(int socket_fd)</div></div> <div class="ttc" id="namespaceplasma_html_aba411eeda1919505149496cce94faad3"><div class="ttname"><a href="namespaceplasma.html#aba411eeda1919505149496cce94faad3">plasma::WriteMessage</a></div><div class="ttdeci">Status WriteMessage(int fd, int64_t type, int64_t length, uint8_t *bytes)</div></div> <div class="ttc" id="namespaceplasma_html_a1fd7c1d47588660de8ed6a8db0fb25d2"><div class="ttname"><a href="namespaceplasma.html#a1fd7c1d47588660de8ed6a8db0fb25d2">plasma::connect_ipc_sock</a></div><div class="ttdeci">int connect_ipc_sock(const std::string &pathname)</div></div> -<div class="ttc" id="namespaceplasma_html"><div class="ttname"><a href="namespaceplasma.html">plasma</a></div><div class="ttdef"><b>Definition:</b> client.h:37</div></div> +<div class="ttc" id="namespaceplasma_html"><div class="ttname"><a href="namespaceplasma.html">plasma</a></div><div class="ttdef"><b>Definition:</b> client.h:40</div></div> <div class="ttc" id="compat_8h_html"><div class="ttname"><a href="compat_8h.html">compat.h</a></div></div> <div class="ttc" id="status_8h_html"><div class="ttname"><a href="status_8h.html">status.h</a></div></div> <div class="ttc" id="namespaceplasma_html_a0f1c3f44f2d352035348f0d91c0e5647"><div class="ttname"><a href="namespaceplasma.html#a0f1c3f44f2d352035348f0d91c0e5647">plasma::ReadMessage</a></div><div class="ttdeci">Status ReadMessage(int fd, int64_t *type, std::vector< uint8_t > *buffer)</div></div> http://git-wip-us.apache.org/repos/asf/arrow-site/blob/4c7c2f1b/docs/cpp/plasma_8h.html ---------------------------------------------------------------------- diff --git a/docs/cpp/plasma_8h.html b/docs/cpp/plasma_8h.html index 256d71b..d339f4e 100644 --- a/docs/cpp/plasma_8h.html +++ b/docs/cpp/plasma_8h.html @@ -85,6 +85,7 @@ $(function() { <code>#include <stdlib.h></code><br /> <code>#include <<a class="el" href="string_8h_source.html">string.h</a>></code><br /> <code>#include <unistd.h></code><br /> +<code>#include <memory></code><br /> <code>#include <string></code><br /> <code>#include <unordered_map></code><br /> <code>#include <unordered_set></code><br /> @@ -98,9 +99,6 @@ $(function() { <table class="memberdecls"> <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="nested-classes"></a> Classes</h2></td></tr> -<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct  </td><td class="memItemRight" valign="bottom"><a class="el" href="structplasma_1_1object__handle.html">plasma::object_handle</a></td></tr> -<tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Handle to access memory mapped file and map it into client address space. <a href="structplasma_1_1object__handle.html#details">More...</a><br /></td></tr> -<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct  </td><td class="memItemRight" valign="bottom"><a class="el" href="structplasma_1_1_plasma_object.html">plasma::PlasmaObject</a></td></tr> <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct  </td><td class="memItemRight" valign="bottom"><a class="el" href="structplasma_1_1_object_table_entry.html">plasma::ObjectTableEntry</a></td></tr> @@ -193,7 +191,7 @@ Functions</h2></td></tr> </tr> </table> </div><div class="memdoc"> -<b>Value:</b><div class="fragment"><div class="line"><span class="keywordflow">do</span> { \</div><div class="line"> Status _s = (s); \</div><div class="line"> if (!_s.ok()) { \</div><div class="line"> if (errno == EPIPE || errno == EBADF || errno == ECONNRESET) { \</div><div class="line"> ARROW_LOG(WARNING) \</div><div class="line"> << <span class="stringliteral">"Received SIGPIPE, BAD FILE DESCRIPTOR, or ECONNRESET when "</span> \</div><div class="line"> <span class="stringliteral">"sending a message to client on fd "</span> \</div><div class="line"> << fd_ << <span class="stringliteral">". "</span> \</div><div class="line"> <span class="stringliteral">"The client on the other end may have hung up."</span>; \</div><div class="line"> } <span class="keywordflow">else</span> { \</div><div class="line"> return _s; \</div><div class="line"> } \</div><div class="line"> } \</div><div class="line"> } <span class="keywordflow">while</span> (0);</div></div><!-- fragment --> +<b>Value:</b><div class="fragment"><div class="line"><span class="keywordflow">do</span> { \</div><div class="line"> Status _s = (s); \</div><div class="line"> if (!_s.ok()) { \</div><div class="line"> if (errno == EPIPE || errno == EBADF || errno == ECONNRESET) { \</div><div class="line"> ARROW_LOG(WARNING) \</div><div class="line"> << <span class="stringliteral">"Received SIGPIPE, BAD FILE DESCRIPTOR, or ECONNRESET when "</span> \</div><div class="line"> <span class="stringliteral">"sending a message to client on fd "</span> \</div><div class="line"> << fd_ \</div><div class="line"> << <span class="stringliteral">". "</span> \</div><div class="line"> <span class="stringliteral">"The client on the other end may have hung up."</span>; \</div><div class="line"> } <span class="keywordflow">else</span> { \</div><div class="line"> return _s; \</div><div class="line"> } \</div><div class="line"> } \</div><div class="line"> } <span class="keywordflow">while</span> (0);</div></div><!-- fragment --> </div> </div> </div><!-- contents -->
