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| <p><span style="border-bottom: solid 1px grey;">Generated by Cython 3.0.11</span></p> | |
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| <span style="background-color: #FFFF00">Yellow lines</span> hint at Python interaction.<br /> | |
| Click on a line that starts with a "<code>+</code>" to see the C code that Cython generated for it. | |
| </p> | |
| <p>Raw output: <a href="processing.c">processing.c</a></p> | |
| <div class="cython"><pre class="cython line score-8" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">001</span>: <span class="c"># File: processing.pyx</span></pre> | |
| <pre class='cython code score-8 '> __pyx_t_2 = <span class='pyx_c_api'>__Pyx_PyDict_NewPresized</span>(0);<span class='error_goto'> if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1, __pyx_L1_error)</span> | |
| <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_2); | |
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| <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_2); __pyx_t_2 = 0; | |
| </pre><pre class="cython line score-0"> <span class="">002</span>: <span class="c"># cython: language_level=3, boundscheck=False, wraparound=False, nonecheck=False, cdivision=True</span></pre> | |
| <pre class="cython line score-0"> <span class="">003</span>: </pre> | |
| <pre class="cython line score-8" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">004</span>: <span class="k">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span></pre> | |
| <pre class='cython code score-8 '> __pyx_t_2 = <span class='pyx_c_api'>__Pyx_ImportDottedModule</span>(__pyx_n_s_numpy, NULL);<span class='error_goto'> if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 4, __pyx_L1_error)</span> | |
| <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_2); | |
| if (<span class='py_c_api'>PyDict_SetItem</span>(__pyx_d, __pyx_n_s_np, __pyx_t_2) < 0) <span class='error_goto'>__PYX_ERR(0, 4, __pyx_L1_error)</span> | |
| <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_2); __pyx_t_2 = 0; | |
| </pre><pre class="cython line score-0"> <span class="">005</span>: <span class="k">cimport</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span></pre> | |
| <pre class="cython line score-8" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">006</span>: <span class="k">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span></pre> | |
| <pre class='cython code score-8 '> __pyx_t_2 = <span class='pyx_c_api'>__Pyx_ImportDottedModule</span>(__pyx_n_s_pandas, NULL);<span class='error_goto'> if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 6, __pyx_L1_error)</span> | |
| <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_2); | |
| if (<span class='py_c_api'>PyDict_SetItem</span>(__pyx_d, __pyx_n_s_pd, __pyx_t_2) < 0) <span class='error_goto'>__PYX_ERR(0, 6, __pyx_L1_error)</span> | |
| <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_2); __pyx_t_2 = 0; | |
| </pre><pre class="cython line score-0"> <span class="">007</span>: <span class="k">cimport</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span></pre> | |
| <pre class="cython line score-0"> <span class="">008</span>: <span class="k">from</span> <span class="nn">libc.math</span> <span class="k">cimport</span> <span class="n">isnan</span></pre> | |
| <pre class="cython line score-0"> <span class="">009</span>: <span class="k">from</span> <span class="nn">cpython.mem</span> <span class="k">cimport</span> <span class="n">PyMem_Malloc</span><span class="p">,</span> <span class="n">PyMem_Free</span></pre> | |
| <pre class="cython line score-0"> <span class="">010</span>: </pre> | |
| <pre class="cython line score-0"> <span class="">011</span>: <span class="c"># Define C types for better performance</span></pre> | |
| <pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">012</span>: <span class="k">ctypedef</span> <span class="n">np</span><span class="o">.</span><span class="n">float32_t</span> <span class="n">DTYPE_t</span></pre> | |
| <pre class='cython code score-0 '>typedef __pyx_t_5numpy_float32_t __pyx_t_13processing_cy_DTYPE_t; | |
| </pre><pre class="cython line score-0"> <span class="">013</span>: <span class="k">ctypedef</span> <span class="n">np</span><span class="o">.</span><span class="n">int32_t</span> <span class="n">ITYPE_t</span></pre> | |
| <pre class="cython line score-0"> <span class="">014</span>: </pre> | |
| <pre class="cython line score-162" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">015</span>: <span class="k">def</span> <span class="nf">process_bbox_depth_cy</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">[</span><span class="n">DTYPE_t</span><span class="p">,</span> <span class="n">ndim</span><span class="o">=</span><span class="mf">2</span><span class="p">]</span> <span class="n">depth_map</span><span class="p">,</span></pre> | |
| <pre class='cython code score-162 '>/* Python wrapper */ | |
| static PyObject *__pyx_pw_13processing_cy_1process_bbox_depth_cy(PyObject *__pyx_self, | |
| #if CYTHON_METH_FASTCALL | |
| PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds | |
| #else | |
| PyObject *__pyx_args, PyObject *__pyx_kwds | |
| #endif | |
| ); /*proto*/ | |
| <span class='py_macro_api'>PyDoc_STRVAR</span>(__pyx_doc_13processing_cy_process_bbox_depth_cy, "\n Optimized bbox depth calculations using Cython\n "); | |
| static PyMethodDef __pyx_mdef_13processing_cy_1process_bbox_depth_cy = {"process_bbox_depth_cy", (PyCFunction)(void*)(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_13processing_cy_1process_bbox_depth_cy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_13processing_cy_process_bbox_depth_cy}; | |
| static PyObject *__pyx_pw_13processing_cy_1process_bbox_depth_cy(PyObject *__pyx_self, | |
| #if CYTHON_METH_FASTCALL | |
| PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds | |
| #else | |
| PyObject *__pyx_args, PyObject *__pyx_kwds | |
| #endif | |
| ) { | |
| PyArrayObject *__pyx_v_depth_map = 0; | |
| int __pyx_v_y_min; | |
| int __pyx_v_y_max; | |
| int __pyx_v_x_min; | |
| int __pyx_v_x_max; | |
| #if !CYTHON_METH_FASTCALL | |
| CYTHON_UNUSED Py_ssize_t __pyx_nargs; | |
| #endif | |
| CYTHON_UNUSED PyObject *const *__pyx_kwvalues; | |
| PyObject *__pyx_r = 0; | |
| <span class='refnanny'>__Pyx_RefNannyDeclarations</span> | |
| <span class='refnanny'>__Pyx_RefNannySetupContext</span>("process_bbox_depth_cy (wrapper)", 0); | |
| #if !CYTHON_METH_FASTCALL | |
| #if CYTHON_ASSUME_SAFE_MACROS | |
| __pyx_nargs = <span class='py_macro_api'>PyTuple_GET_SIZE</span>(__pyx_args); | |
| #else | |
| __pyx_nargs = <span class='py_c_api'>PyTuple_Size</span>(__pyx_args); if (unlikely(__pyx_nargs < 0)) return NULL; | |
| #endif | |
| #endif | |
| __pyx_kwvalues = <span class='pyx_c_api'>__Pyx_KwValues_FASTCALL</span>(__pyx_args, __pyx_nargs); | |
| { | |
| PyObject **__pyx_pyargnames[] = {&__pyx_n_s_depth_map,&__pyx_n_s_y_min,&__pyx_n_s_y_max,&__pyx_n_s_x_min,&__pyx_n_s_x_max,0}; | |
| PyObject* values[5] = {0,0,0,0,0}; | |
| if (__pyx_kwds) { | |
| Py_ssize_t kw_args; | |
| switch (__pyx_nargs) { | |
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| CYTHON_FALLTHROUGH; | |
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| CYTHON_FALLTHROUGH; | |
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| CYTHON_FALLTHROUGH; | |
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| CYTHON_FALLTHROUGH; | |
| case 0: break; | |
| default: goto __pyx_L5_argtuple_error; | |
| } | |
| kw_args = <span class='pyx_c_api'>__Pyx_NumKwargs_FASTCALL</span>(__pyx_kwds); | |
| switch (__pyx_nargs) { | |
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| if (likely((values[0] = <span class='pyx_c_api'>__Pyx_GetKwValue_FASTCALL</span>(__pyx_kwds, __pyx_kwvalues, __pyx_n_s_depth_map)) != 0)) { | |
| (void)<span class='pyx_c_api'>__Pyx_Arg_NewRef_FASTCALL</span>(values[0]); | |
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| (void)<span class='pyx_c_api'>__Pyx_Arg_NewRef_FASTCALL</span>(values[1]); | |
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| (void)<span class='pyx_c_api'>__Pyx_Arg_NewRef_FASTCALL</span>(values[2]); | |
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| CYTHON_FALLTHROUGH; | |
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| (void)<span class='pyx_c_api'>__Pyx_Arg_NewRef_FASTCALL</span>(values[3]); | |
| kw_args--; | |
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| CYTHON_FALLTHROUGH; | |
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| (void)<span class='pyx_c_api'>__Pyx_Arg_NewRef_FASTCALL</span>(values[4]); | |
| kw_args--; | |
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| if (unlikely(kw_args > 0)) { | |
| const Py_ssize_t kwd_pos_args = __pyx_nargs; | |
| if (unlikely(<span class='pyx_c_api'>__Pyx_ParseOptionalKeywords</span>(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values + 0, kwd_pos_args, "process_bbox_depth_cy") < 0)) <span class='error_goto'>__PYX_ERR(0, 15, __pyx_L3_error)</span> | |
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| int __pyx_lineno = 0; | |
| const char *__pyx_filename = NULL; | |
| int __pyx_clineno = 0; | |
| /* function exit code */ | |
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| __pyx_L1_error:; | |
| __pyx_r = NULL; | |
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| static PyObject *__pyx_pf_13processing_cy_process_bbox_depth_cy(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_depth_map, int __pyx_v_y_min, int __pyx_v_y_max, int __pyx_v_x_min, int __pyx_v_x_max) { | |
| int __pyx_v_i; | |
| int __pyx_v_j; | |
| int __pyx_v_count; | |
| double __pyx_v_sum_val; | |
| double __pyx_v_mean_val; | |
| PyArrayObject *__pyx_v_flat_vals = 0; | |
| int __pyx_v_flat_size; | |
| __Pyx_LocalBuf_ND __pyx_pybuffernd_depth_map; | |
| __Pyx_Buffer __pyx_pybuffer_depth_map; | |
| __Pyx_LocalBuf_ND __pyx_pybuffernd_flat_vals; | |
| __Pyx_Buffer __pyx_pybuffer_flat_vals; | |
| PyObject *__pyx_r = NULL; | |
| __pyx_pybuffer_flat_vals.pybuffer.buf = NULL; | |
| __pyx_pybuffer_flat_vals.refcount = 0; | |
| __pyx_pybuffernd_flat_vals.data = NULL; | |
| __pyx_pybuffernd_flat_vals.rcbuffer = &__pyx_pybuffer_flat_vals; | |
| __pyx_pybuffer_depth_map.pybuffer.buf = NULL; | |
| __pyx_pybuffer_depth_map.refcount = 0; | |
| __pyx_pybuffernd_depth_map.data = NULL; | |
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| { | |
| __Pyx_BufFmt_StackElem __pyx_stack[1]; | |
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| /* … */ | |
| /* function exit code */ | |
| __pyx_L1_error:; | |
| <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_t_10); | |
| <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_t_11); | |
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| <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_t_21); | |
| { PyObject *__pyx_type, *__pyx_value, *__pyx_tb; | |
| __Pyx_PyThreadState_declare | |
| __Pyx_PyThreadState_assign | |
| <span class='pyx_c_api'>__Pyx_ErrFetch</span>(&__pyx_type, &__pyx_value, &__pyx_tb); | |
| <span class='pyx_c_api'>__Pyx_SafeReleaseBuffer</span>(&__pyx_pybuffernd_depth_map.rcbuffer->pybuffer); | |
| <span class='pyx_c_api'>__Pyx_SafeReleaseBuffer</span>(&__pyx_pybuffernd_flat_vals.rcbuffer->pybuffer); | |
| <span class='pyx_c_api'>__Pyx_ErrRestore</span>(__pyx_type, __pyx_value, __pyx_tb);} | |
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| </pre><pre class="cython line score-0"> <span class="">016</span>: <span class="nb">int</span> <span class="n">y_min</span><span class="p">,</span> <span class="nb">int</span> <span class="n">y_max</span><span class="p">,</span> <span class="nb">int</span> <span class="n">x_min</span><span class="p">,</span> <span class="nb">int</span> <span class="n">x_max</span><span class="p">):</span></pre> | |
| <pre class="cython line score-0"> <span class="">017</span>: <span class="w"> </span><span class="sd">"""</span></pre> | |
| <pre class="cython line score-0"> <span class="">018</span>: <span class="sd"> Optimized bbox depth calculations using Cython</span></pre> | |
| <pre class="cython line score-0"> <span class="">019</span>: <span class="sd"> """</span></pre> | |
| <pre class="cython line score-0"> <span class="">020</span>: <span class="k">cdef</span><span class="p">:</span></pre> | |
| <pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">021</span>: <span class="nb">int</span> <span class="n">i</span><span class="p">,</span> <span class="n">j</span><span class="p">,</span> <span class="n">count</span> <span class="o">=</span> <span class="mf">0</span></pre> | |
| <pre class='cython code score-0 '> __pyx_v_count = 0; | |
| </pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">022</span>: <span class="n">double</span> <span class="n">sum_val</span> <span class="o">=</span> <span class="mf">0.0</span></pre> | |
| <pre class='cython code score-0 '> __pyx_v_sum_val = 0.0; | |
| </pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">023</span>: <span class="n">double</span> <span class="n">mean_val</span> <span class="o">=</span> <span class="mf">0.0</span></pre> | |
| <pre class='cython code score-0 '> __pyx_v_mean_val = 0.0; | |
| </pre><pre class="cython line score-0"> <span class="">024</span>: <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">[</span><span class="n">DTYPE_t</span><span class="p">,</span> <span class="n">ndim</span><span class="o">=</span><span class="mf">1</span><span class="p">]</span> <span class="n">flat_vals</span></pre> | |
| <pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">025</span>: <span class="nb">int</span> <span class="n">flat_size</span> <span class="o">=</span> <span class="mf">0</span></pre> | |
| <pre class='cython code score-0 '> __pyx_v_flat_size = 0; | |
| </pre><pre class="cython line score-0"> <span class="">026</span>: </pre> | |
| <pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">027</span>: <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">y_min</span><span class="p">,</span> <span class="n">y_max</span><span class="p">):</span></pre> | |
| <pre class='cython code score-0 '> __pyx_t_1 = __pyx_v_y_max; | |
| __pyx_t_2 = __pyx_t_1; | |
| for (__pyx_t_3 = __pyx_v_y_min; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { | |
| __pyx_v_i = __pyx_t_3; | |
| </pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">028</span>: <span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">x_min</span><span class="p">,</span> <span class="n">x_max</span><span class="p">):</span></pre> | |
| <pre class='cython code score-0 '> __pyx_t_4 = __pyx_v_x_max; | |
| __pyx_t_5 = __pyx_t_4; | |
| for (__pyx_t_6 = __pyx_v_x_min; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { | |
| __pyx_v_j = __pyx_t_6; | |
| </pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">029</span>: <span class="k">if</span> <span class="ow">not</span> <span class="n">isnan</span><span class="p">(</span><span class="n">depth_map</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="n">j</span><span class="p">]):</span></pre> | |
| <pre class='cython code score-0 '> __pyx_t_7 = __pyx_v_i; | |
| __pyx_t_8 = __pyx_v_j; | |
| __pyx_t_9 = (!isnan((*__Pyx_BufPtrStrided2d(__pyx_t_13processing_cy_DTYPE_t *, __pyx_pybuffernd_depth_map.rcbuffer->pybuffer.buf, __pyx_t_7, __pyx_pybuffernd_depth_map.diminfo[0].strides, __pyx_t_8, __pyx_pybuffernd_depth_map.diminfo[1].strides)))); | |
| if (__pyx_t_9) { | |
| /* … */ | |
| } | |
| } | |
| } | |
| </pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">030</span>: <span class="n">sum_val</span> <span class="o">+=</span> <span class="n">depth_map</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="n">j</span><span class="p">]</span></pre> | |
| <pre class='cython code score-0 '> __pyx_t_8 = __pyx_v_i; | |
| __pyx_t_7 = __pyx_v_j; | |
| __pyx_v_sum_val = (__pyx_v_sum_val + (*__Pyx_BufPtrStrided2d(__pyx_t_13processing_cy_DTYPE_t *, __pyx_pybuffernd_depth_map.rcbuffer->pybuffer.buf, __pyx_t_8, __pyx_pybuffernd_depth_map.diminfo[0].strides, __pyx_t_7, __pyx_pybuffernd_depth_map.diminfo[1].strides))); | |
| </pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">031</span>: <span class="n">count</span> <span class="o">+=</span> <span class="mf">1</span></pre> | |
| <pre class='cython code score-0 '> __pyx_v_count = (__pyx_v_count + 1); | |
| </pre><pre class="cython line score-0"> <span class="">032</span>: </pre> | |
| <pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">033</span>: <span class="k">if</span> <span class="n">count</span> <span class="o">></span> <span class="mf">0</span><span class="p">:</span></pre> | |
| <pre class='cython code score-0 '> __pyx_t_9 = (__pyx_v_count > 0); | |
| if (__pyx_t_9) { | |
| /* … */ | |
| } | |
| </pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">034</span>: <span class="n">mean_val</span> <span class="o">=</span> <span class="n">sum_val</span> <span class="o">/</span> <span class="n">count</span></pre> | |
| <pre class='cython code score-0 '> __pyx_v_mean_val = (__pyx_v_sum_val / ((double)__pyx_v_count)); | |
| </pre><pre class="cython line score-0"> <span class="">035</span>: </pre> | |
| <pre class="cython line score-0"> <span class="">036</span>: <span class="c"># Create array for trimmed mean calculation</span></pre> | |
| <pre class="cython line score-52" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">037</span>: <span class="n">flat_vals</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="n">count</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span></pre> | |
| <pre class='cython code score-52 '> <span class='pyx_c_api'>__Pyx_GetModuleGlobalName</span>(__pyx_t_10, __pyx_n_s_np);<span class='error_goto'> if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 37, __pyx_L1_error)</span> | |
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| __pyx_t_10 = <span class='pyx_c_api'>__Pyx_PyInt_From_int</span>(__pyx_v_count);<span class='error_goto'> if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 37, __pyx_L1_error)</span> | |
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| { | |
| __Pyx_BufFmt_StackElem __pyx_stack[1]; | |
| <span class='pyx_c_api'>__Pyx_SafeReleaseBuffer</span>(&__pyx_pybuffernd_flat_vals.rcbuffer->pybuffer); | |
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| if (unlikely(__pyx_t_1 < 0)) { | |
| <span class='py_c_api'>PyErr_Fetch</span>(&__pyx_t_16, &__pyx_t_17, &__pyx_t_18); | |
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| Py_XDECREF(__pyx_t_16); Py_XDECREF(__pyx_t_17); Py_XDECREF(__pyx_t_18); | |
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| __pyx_pybuffernd_flat_vals.diminfo[0].strides = __pyx_pybuffernd_flat_vals.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_flat_vals.diminfo[0].shape = __pyx_pybuffernd_flat_vals.rcbuffer->pybuffer.shape[0]; | |
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| __pyx_t_15 = 0; | |
| __pyx_v_flat_vals = ((PyArrayObject *)__pyx_t_14); | |
| __pyx_t_14 = 0; | |
| </pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">038</span>: <span class="n">flat_size</span> <span class="o">=</span> <span class="mf">0</span></pre> | |
| <pre class='cython code score-0 '> __pyx_v_flat_size = 0; | |
| </pre><pre class="cython line score-0"> <span class="">039</span>: </pre> | |
| <pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">040</span>: <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">y_min</span><span class="p">,</span> <span class="n">y_max</span><span class="p">):</span></pre> | |
| <pre class='cython code score-0 '> __pyx_t_1 = __pyx_v_y_max; | |
| __pyx_t_2 = __pyx_t_1; | |
| for (__pyx_t_3 = __pyx_v_y_min; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { | |
| __pyx_v_i = __pyx_t_3; | |
| </pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">041</span>: <span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">x_min</span><span class="p">,</span> <span class="n">x_max</span><span class="p">):</span></pre> | |
| <pre class='cython code score-0 '> __pyx_t_4 = __pyx_v_x_max; | |
| __pyx_t_5 = __pyx_t_4; | |
| for (__pyx_t_6 = __pyx_v_x_min; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { | |
| __pyx_v_j = __pyx_t_6; | |
| </pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">042</span>: <span class="k">if</span> <span class="ow">not</span> <span class="n">isnan</span><span class="p">(</span><span class="n">depth_map</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="n">j</span><span class="p">]):</span></pre> | |
| <pre class='cython code score-0 '> __pyx_t_7 = __pyx_v_i; | |
| __pyx_t_8 = __pyx_v_j; | |
| __pyx_t_9 = (!isnan((*__Pyx_BufPtrStrided2d(__pyx_t_13processing_cy_DTYPE_t *, __pyx_pybuffernd_depth_map.rcbuffer->pybuffer.buf, __pyx_t_7, __pyx_pybuffernd_depth_map.diminfo[0].strides, __pyx_t_8, __pyx_pybuffernd_depth_map.diminfo[1].strides)))); | |
| if (__pyx_t_9) { | |
| /* … */ | |
| } | |
| } | |
| } | |
| </pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">043</span>: <span class="n">flat_vals</span><span class="p">[</span><span class="n">flat_size</span><span class="p">]</span> <span class="o">=</span> <span class="n">depth_map</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="n">j</span><span class="p">]</span></pre> | |
| <pre class='cython code score-0 '> __pyx_t_8 = __pyx_v_i; | |
| __pyx_t_7 = __pyx_v_j; | |
| __pyx_t_19 = __pyx_v_flat_size; | |
| *__Pyx_BufPtrStrided1d(__pyx_t_13processing_cy_DTYPE_t *, __pyx_pybuffernd_flat_vals.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_flat_vals.diminfo[0].strides) = (*__Pyx_BufPtrStrided2d(__pyx_t_13processing_cy_DTYPE_t *, __pyx_pybuffernd_depth_map.rcbuffer->pybuffer.buf, __pyx_t_8, __pyx_pybuffernd_depth_map.diminfo[0].strides, __pyx_t_7, __pyx_pybuffernd_depth_map.diminfo[1].strides)); | |
| </pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">044</span>: <span class="n">flat_size</span> <span class="o">+=</span> <span class="mf">1</span></pre> | |
| <pre class='cython code score-0 '> __pyx_v_flat_size = (__pyx_v_flat_size + 1); | |
| </pre><pre class="cython line score-0"> <span class="">045</span>: </pre> | |
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| </pre><pre class="cython line score-0"> <span class="">047</span>: </pre> | |
| <pre class="cython line score-94" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">048</span>: <span class="k">def</span> <span class="nf">handle_overlaps_cy</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">[</span><span class="n">DTYPE_t</span><span class="p">,</span> <span class="n">ndim</span><span class="o">=</span><span class="mf">2</span><span class="p">]</span> <span class="n">depth_map</span><span class="p">,</span></pre> | |
| <pre class='cython code score-94 '>/* Python wrapper */ | |
| static PyObject *__pyx_pw_13processing_cy_3handle_overlaps_cy(PyObject *__pyx_self, | |
| #if CYTHON_METH_FASTCALL | |
| PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds | |
| #else | |
| PyObject *__pyx_args, PyObject *__pyx_kwds | |
| #endif | |
| ); /*proto*/ | |
| <span class='py_macro_api'>PyDoc_STRVAR</span>(__pyx_doc_13processing_cy_2handle_overlaps_cy, "\n Optimized overlap handling using Cython\n "); | |
| static PyMethodDef __pyx_mdef_13processing_cy_3handle_overlaps_cy = {"handle_overlaps_cy", (PyCFunction)(void*)(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_13processing_cy_3handle_overlaps_cy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_13processing_cy_2handle_overlaps_cy}; | |
| static PyObject *__pyx_pw_13processing_cy_3handle_overlaps_cy(PyObject *__pyx_self, | |
| #if CYTHON_METH_FASTCALL | |
| PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds | |
| #else | |
| PyObject *__pyx_args, PyObject *__pyx_kwds | |
| #endif | |
| ) { | |
| CYTHON_UNUSED PyArrayObject *__pyx_v_depth_map = 0; | |
| PyArrayObject *__pyx_v_boxes = 0; | |
| #if !CYTHON_METH_FASTCALL | |
| CYTHON_UNUSED Py_ssize_t __pyx_nargs; | |
| #endif | |
| CYTHON_UNUSED PyObject *const *__pyx_kwvalues; | |
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| <span class='refnanny'>__Pyx_RefNannyDeclarations</span> | |
| <span class='refnanny'>__Pyx_RefNannySetupContext</span>("handle_overlaps_cy (wrapper)", 0); | |
| #if !CYTHON_METH_FASTCALL | |
| #if CYTHON_ASSUME_SAFE_MACROS | |
| __pyx_nargs = <span class='py_macro_api'>PyTuple_GET_SIZE</span>(__pyx_args); | |
| #else | |
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| #endif | |
| #endif | |
| __pyx_kwvalues = <span class='pyx_c_api'>__Pyx_KwValues_FASTCALL</span>(__pyx_args, __pyx_nargs); | |
| { | |
| PyObject **__pyx_pyargnames[] = {&__pyx_n_s_depth_map,&__pyx_n_s_boxes,0}; | |
| PyObject* values[2] = {0,0}; | |
| if (__pyx_kwds) { | |
| Py_ssize_t kw_args; | |
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| (void)<span class='pyx_c_api'>__Pyx_Arg_NewRef_FASTCALL</span>(values[1]); | |
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| values[0] = <span class='pyx_c_api'>__Pyx_Arg_FASTCALL</span>(__pyx_args, 0); | |
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| __pyx_v_depth_map = ((PyArrayObject *)values[0]); | |
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| goto __pyx_L6_skip; | |
| __pyx_L5_argtuple_error:; | |
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| <span class='pyx_c_api'>__Pyx_AddTraceback</span>("processing_cy.handle_overlaps_cy", __pyx_clineno, __pyx_lineno, __pyx_filename); | |
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| __pyx_r = __pyx_pf_13processing_cy_2handle_overlaps_cy(__pyx_self, __pyx_v_depth_map, __pyx_v_boxes); | |
| int __pyx_lineno = 0; | |
| const char *__pyx_filename = NULL; | |
| int __pyx_clineno = 0; | |
| /* function exit code */ | |
| goto __pyx_L0; | |
| __pyx_L1_error:; | |
| __pyx_r = NULL; | |
| __pyx_L0:; | |
| { | |
| Py_ssize_t __pyx_temp; | |
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| static PyObject *__pyx_pf_13processing_cy_2handle_overlaps_cy(CYTHON_UNUSED PyObject *__pyx_self, CYTHON_UNUSED PyArrayObject *__pyx_v_depth_map, PyArrayObject *__pyx_v_boxes) { | |
| int __pyx_v_n_boxes; | |
| int __pyx_v_i; | |
| int __pyx_v_j; | |
| int __pyx_v_y_min1; | |
| int __pyx_v_y_max1; | |
| int __pyx_v_x_min1; | |
| int __pyx_v_x_max1; | |
| int __pyx_v_y_min2; | |
| int __pyx_v_y_max2; | |
| int __pyx_v_x_min2; | |
| int __pyx_v_x_max2; | |
| double __pyx_v_area1; | |
| double __pyx_v_area2; | |
| double __pyx_v_area_intersection; | |
| int *__pyx_v_to_remove; | |
| PyObject *__pyx_v_y_min_int = NULL; | |
| PyObject *__pyx_v_y_max_int = NULL; | |
| PyObject *__pyx_v_x_min_int = NULL; | |
| PyObject *__pyx_v_x_max_int = NULL; | |
| int __pyx_7genexpr__pyx_v_i; | |
| __Pyx_LocalBuf_ND __pyx_pybuffernd_boxes; | |
| __Pyx_Buffer __pyx_pybuffer_boxes; | |
| __Pyx_LocalBuf_ND __pyx_pybuffernd_depth_map; | |
| __Pyx_Buffer __pyx_pybuffer_depth_map; | |
| PyObject *__pyx_r = NULL; | |
| __pyx_pybuffer_depth_map.pybuffer.buf = NULL; | |
| __pyx_pybuffer_depth_map.refcount = 0; | |
| __pyx_pybuffernd_depth_map.data = NULL; | |
| __pyx_pybuffernd_depth_map.rcbuffer = &__pyx_pybuffer_depth_map; | |
| __pyx_pybuffer_boxes.pybuffer.buf = NULL; | |
| __pyx_pybuffer_boxes.refcount = 0; | |
| __pyx_pybuffernd_boxes.data = NULL; | |
| __pyx_pybuffernd_boxes.rcbuffer = &__pyx_pybuffer_boxes; | |
| { | |
| __Pyx_BufFmt_StackElem __pyx_stack[1]; | |
| if (unlikely(<span class='pyx_c_api'>__Pyx_GetBufferAndValidate</span>(&__pyx_pybuffernd_depth_map.rcbuffer->pybuffer, (PyObject*)__pyx_v_depth_map, &__Pyx_TypeInfo_nn___pyx_t_13processing_cy_DTYPE_t, PyBUF_FORMAT| PyBUF_STRIDES, 2, 0, __pyx_stack) == -1)) <span class='error_goto'>__PYX_ERR(0, 48, __pyx_L1_error)</span> | |
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| { | |
| __Pyx_BufFmt_StackElem __pyx_stack[1]; | |
| if (unlikely(<span class='pyx_c_api'>__Pyx_GetBufferAndValidate</span>(&__pyx_pybuffernd_boxes.rcbuffer->pybuffer, (PyObject*)__pyx_v_boxes, &__Pyx_TypeInfo_nn___pyx_t_13processing_cy_ITYPE_t, PyBUF_FORMAT| PyBUF_STRIDES, 2, 0, __pyx_stack) == -1)) <span class='error_goto'>__PYX_ERR(0, 48, __pyx_L1_error)</span> | |
| } | |
| __pyx_pybuffernd_boxes.diminfo[0].strides = __pyx_pybuffernd_boxes.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_boxes.diminfo[0].shape = __pyx_pybuffernd_boxes.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_boxes.diminfo[1].strides = __pyx_pybuffernd_boxes.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_boxes.diminfo[1].shape = __pyx_pybuffernd_boxes.rcbuffer->pybuffer.shape[1]; | |
| /* … */ | |
| /* function exit code */ | |
| __pyx_L1_error:; | |
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| { PyObject *__pyx_type, *__pyx_value, *__pyx_tb; | |
| __Pyx_PyThreadState_declare | |
| __Pyx_PyThreadState_assign | |
| <span class='pyx_c_api'>__Pyx_ErrFetch</span>(&__pyx_type, &__pyx_value, &__pyx_tb); | |
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| <span class='pyx_c_api'>__Pyx_ErrRestore</span>(__pyx_type, __pyx_value, __pyx_tb);} | |
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| __pyx_tuple__6 = <span class='py_c_api'>PyTuple_Pack</span>(22, __pyx_n_s_depth_map, __pyx_n_s_boxes, __pyx_n_s_n_boxes, __pyx_n_s_i, __pyx_n_s_j, __pyx_n_s_y_min1, __pyx_n_s_y_max1, __pyx_n_s_x_min1, __pyx_n_s_x_max1, __pyx_n_s_y_min2, __pyx_n_s_y_max2, __pyx_n_s_x_min2, __pyx_n_s_x_max2, __pyx_n_s_area1, __pyx_n_s_area2, __pyx_n_s_area_intersection, __pyx_n_s_to_remove, __pyx_n_s_y_min_int, __pyx_n_s_y_max_int, __pyx_n_s_x_min_int, __pyx_n_s_x_max_int, __pyx_n_s_i);<span class='error_goto'> if (unlikely(!__pyx_tuple__6)) __PYX_ERR(0, 48, __pyx_L1_error)</span> | |
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| /* … */ | |
| __pyx_t_2 = <span class='pyx_c_api'>__Pyx_CyFunction_New</span>(&__pyx_mdef_13processing_cy_3handle_overlaps_cy, 0, __pyx_n_s_handle_overlaps_cy, NULL, __pyx_n_s_processing_cy, __pyx_d, ((PyObject *)__pyx_codeobj__7));<span class='error_goto'> if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 48, __pyx_L1_error)</span> | |
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| </pre><pre class="cython line score-0"> <span class="">049</span>: <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">[</span><span class="n">ITYPE_t</span><span class="p">,</span> <span class="n">ndim</span><span class="o">=</span><span class="mf">2</span><span class="p">]</span> <span class="n">boxes</span><span class="p">):</span></pre> | |
| <pre class="cython line score-0"> <span class="">050</span>: <span class="w"> </span><span class="sd">"""</span></pre> | |
| <pre class="cython line score-0"> <span class="">051</span>: <span class="sd"> Optimized overlap handling using Cython</span></pre> | |
| <pre class="cython line score-0"> <span class="">052</span>: <span class="sd"> """</span></pre> | |
| <pre class="cython line score-0"> <span class="">053</span>: <span class="k">cdef</span><span class="p">:</span></pre> | |
| <pre class="cython line score-5" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">054</span>: <span class="nb">int</span> <span class="n">n_boxes</span> <span class="o">=</span> <span class="n">boxes</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mf">0</span><span class="p">]</span></pre> | |
| <pre class='cython code score-5 '> __pyx_t_1 = __pyx_f_5numpy_7ndarray_5shape_shape(((PyArrayObject *)__pyx_v_boxes)); if (unlikely(__pyx_t_1 == ((npy_intp *)NULL) && <span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 54, __pyx_L1_error)</span> | |
| __pyx_v_n_boxes = (__pyx_t_1[0]); | |
| </pre><pre class="cython line score-0"> <span class="">055</span>: <span class="nb">int</span> <span class="n">i</span><span class="p">,</span> <span class="n">j</span></pre> | |
| <pre class="cython line score-0"> <span class="">056</span>: <span class="nb">int</span> <span class="n">y_min1</span><span class="p">,</span> <span class="n">y_max1</span><span class="p">,</span> <span class="n">x_min1</span><span class="p">,</span> <span class="n">x_max1</span></pre> | |
| <pre class="cython line score-0"> <span class="">057</span>: <span class="nb">int</span> <span class="n">y_min2</span><span class="p">,</span> <span class="n">y_max2</span><span class="p">,</span> <span class="n">x_min2</span><span class="p">,</span> <span class="n">x_max2</span></pre> | |
| <pre class="cython line score-0"> <span class="">058</span>: <span class="n">double</span> <span class="n">area1</span><span class="p">,</span> <span class="n">area2</span><span class="p">,</span> <span class="n">area_intersection</span></pre> | |
| <pre class="cython line score-5" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">059</span>: <span class="nb">bint</span><span class="o">*</span> <span class="n">to_remove</span> <span class="o">=</span> <span class="o"><</span><span class="nb">bint</span><span class="o">*></span><span class="n">PyMem_Malloc</span><span class="p">(</span><span class="n">n_boxes</span> <span class="o">*</span> <span class="n">sizeof</span><span class="p">(</span><span class="nb">bint</span><span class="p">))</span></pre> | |
| <pre class='cython code score-5 '> __pyx_v_to_remove = ((int *)<span class='py_c_api'>PyMem_Malloc</span>((__pyx_v_n_boxes * (sizeof(int))))); | |
| </pre><pre class="cython line score-0"> <span class="">060</span>: </pre> | |
| <pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">061</span>: <span class="k">if</span> <span class="ow">not</span> <span class="n">to_remove</span><span class="p">:</span></pre> | |
| <pre class='cython code score-0 '> __pyx_t_2 = (!(__pyx_v_to_remove != 0)); | |
| if (unlikely(__pyx_t_2)) { | |
| /* … */ | |
| } | |
| </pre><pre class="cython line score-5" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">062</span>: <span class="k">raise</span> <span class="ne">MemoryError</span><span class="p">()</span></pre> | |
| <pre class='cython code score-5 '> <span class='py_c_api'>PyErr_NoMemory</span>(); <span class='error_goto'>__PYX_ERR(0, 62, __pyx_L1_error)</span> | |
| </pre><pre class="cython line score-0"> <span class="">063</span>: </pre> | |
| <pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">064</span>: <span class="k">try</span><span class="p">:</span></pre> | |
| <pre class='cython code score-0 '> /*try:*/ { | |
| </pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">065</span>: <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">n_boxes</span><span class="p">):</span></pre> | |
| <pre class='cython code score-0 '> __pyx_t_3 = __pyx_v_n_boxes; | |
| __pyx_t_4 = __pyx_t_3; | |
| for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_4; __pyx_t_5+=1) { | |
| __pyx_v_i = __pyx_t_5; | |
| </pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">066</span>: <span class="n">to_remove</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="bp">False</span></pre> | |
| <pre class='cython code score-0 '> (__pyx_v_to_remove[__pyx_v_i]) = 0; | |
| } | |
| </pre><pre class="cython line score-0"> <span class="">067</span>: </pre> | |
| <pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">068</span>: <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">n_boxes</span><span class="p">):</span></pre> | |
| <pre class='cython code score-0 '> __pyx_t_3 = __pyx_v_n_boxes; | |
| __pyx_t_4 = __pyx_t_3; | |
| for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_4; __pyx_t_5+=1) { | |
| __pyx_v_i = __pyx_t_5; | |
| </pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">069</span>: <span class="k">if</span> <span class="n">to_remove</span><span class="p">[</span><span class="n">i</span><span class="p">]:</span></pre> | |
| <pre class='cython code score-0 '> if ((__pyx_v_to_remove[__pyx_v_i])) { | |
| /* … */ | |
| } | |
| </pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">070</span>: <span class="k">continue</span></pre> | |
| <pre class='cython code score-0 '> goto __pyx_L9_continue; | |
| </pre><pre class="cython line score-0"> <span class="">071</span>: </pre> | |
| <pre class="cython line score-85" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">072</span>: <span class="n">y_min1</span><span class="p">,</span> <span class="n">x_min1</span><span class="p">,</span> <span class="n">y_max1</span><span class="p">,</span> <span class="n">x_max1</span> <span class="o">=</span> <span class="n">boxes</span><span class="p">[</span><span class="n">i</span><span class="p">]</span></pre> | |
| <pre class='cython code score-85 '> __pyx_t_6 = <span class='pyx_c_api'>__Pyx_GetItemInt</span>(((PyObject *)__pyx_v_boxes), __pyx_v_i, int, 1, __Pyx_PyInt_From_int, 0, 0, 0);<span class='error_goto'> if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 72, __pyx_L5_error)</span> | |
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| if ((likely(<span class='py_c_api'>PyTuple_CheckExact</span>(__pyx_t_6))) || (<span class='py_c_api'>PyList_CheckExact</span>(__pyx_t_6))) { | |
| PyObject* sequence = __pyx_t_6; | |
| Py_ssize_t size = <span class='pyx_c_api'>__Pyx_PySequence_SIZE</span>(sequence); | |
| if (unlikely(size != 4)) { | |
| if (size > 4) <span class='pyx_c_api'>__Pyx_RaiseTooManyValuesError</span>(4); | |
| else if (size >= 0) <span class='pyx_c_api'>__Pyx_RaiseNeedMoreValuesError</span>(size); | |
| <span class='error_goto'>__PYX_ERR(0, 72, __pyx_L5_error)</span> | |
| } | |
| #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS | |
| if (likely(<span class='py_c_api'>PyTuple_CheckExact</span>(sequence))) { | |
| __pyx_t_7 = <span class='py_macro_api'>PyTuple_GET_ITEM</span>(sequence, 0); | |
| __pyx_t_8 = <span class='py_macro_api'>PyTuple_GET_ITEM</span>(sequence, 1); | |
| __pyx_t_9 = <span class='py_macro_api'>PyTuple_GET_ITEM</span>(sequence, 2); | |
| __pyx_t_10 = <span class='py_macro_api'>PyTuple_GET_ITEM</span>(sequence, 3); | |
| } else { | |
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| __pyx_t_8 = <span class='py_macro_api'>PyList_GET_ITEM</span>(sequence, 1); | |
| __pyx_t_9 = <span class='py_macro_api'>PyList_GET_ITEM</span>(sequence, 2); | |
| __pyx_t_10 = <span class='py_macro_api'>PyList_GET_ITEM</span>(sequence, 3); | |
| } | |
| <span class='pyx_macro_api'>__Pyx_INCREF</span>(__pyx_t_7); | |
| <span class='pyx_macro_api'>__Pyx_INCREF</span>(__pyx_t_8); | |
| <span class='pyx_macro_api'>__Pyx_INCREF</span>(__pyx_t_9); | |
| <span class='pyx_macro_api'>__Pyx_INCREF</span>(__pyx_t_10); | |
| #else | |
| { | |
| Py_ssize_t i; | |
| PyObject** temps[4] = {&__pyx_t_7,&__pyx_t_8,&__pyx_t_9,&__pyx_t_10}; | |
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| <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_11); __pyx_t_11 = 0; | |
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| <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_11); __pyx_t_11 = 0; | |
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| if (<span class='pyx_c_api'>__Pyx_IterFinish</span>() == 0) <span class='pyx_c_api'>__Pyx_RaiseNeedMoreValuesError</span>(index); | |
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| __pyx_t_13 = <span class='pyx_c_api'>__Pyx_PyInt_As_int</span>(__pyx_t_7); if (unlikely((__pyx_t_13 == (int)-1) && <span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 72, __pyx_L5_error)</span> | |
| <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_7); __pyx_t_7 = 0; | |
| __pyx_t_14 = <span class='pyx_c_api'>__Pyx_PyInt_As_int</span>(__pyx_t_8); if (unlikely((__pyx_t_14 == (int)-1) && <span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 72, __pyx_L5_error)</span> | |
| <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_8); __pyx_t_8 = 0; | |
| __pyx_t_15 = <span class='pyx_c_api'>__Pyx_PyInt_As_int</span>(__pyx_t_9); if (unlikely((__pyx_t_15 == (int)-1) && <span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 72, __pyx_L5_error)</span> | |
| <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_9); __pyx_t_9 = 0; | |
| __pyx_t_16 = <span class='pyx_c_api'>__Pyx_PyInt_As_int</span>(__pyx_t_10); if (unlikely((__pyx_t_16 == (int)-1) && <span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 72, __pyx_L5_error)</span> | |
| <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_10); __pyx_t_10 = 0; | |
| __pyx_v_y_min1 = __pyx_t_13; | |
| __pyx_v_x_min1 = __pyx_t_14; | |
| __pyx_v_y_max1 = __pyx_t_15; | |
| __pyx_v_x_max1 = __pyx_t_16; | |
| </pre><pre class="cython line score-0"> <span class="">073</span>: </pre> | |
| <pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">074</span>: <span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">i</span> <span class="o">+</span> <span class="mf">1</span><span class="p">,</span> <span class="n">n_boxes</span><span class="p">):</span></pre> | |
| <pre class='cython code score-0 '> __pyx_t_16 = __pyx_v_n_boxes; | |
| __pyx_t_15 = __pyx_t_16; | |
| for (__pyx_t_14 = (__pyx_v_i + 1); __pyx_t_14 < __pyx_t_15; __pyx_t_14+=1) { | |
| __pyx_v_j = __pyx_t_14; | |
| </pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">075</span>: <span class="k">if</span> <span class="n">to_remove</span><span class="p">[</span><span class="n">j</span><span class="p">]:</span></pre> | |
| <pre class='cython code score-0 '> if ((__pyx_v_to_remove[__pyx_v_j])) { | |
| /* … */ | |
| } | |
| </pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">076</span>: <span class="k">continue</span></pre> | |
| <pre class='cython code score-0 '> goto __pyx_L14_continue; | |
| </pre><pre class="cython line score-0"> <span class="">077</span>: </pre> | |
| <pre class="cython line score-85" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">078</span>: <span class="n">y_min2</span><span class="p">,</span> <span class="n">x_min2</span><span class="p">,</span> <span class="n">y_max2</span><span class="p">,</span> <span class="n">x_max2</span> <span class="o">=</span> <span class="n">boxes</span><span class="p">[</span><span class="n">j</span><span class="p">]</span></pre> | |
| <pre class='cython code score-85 '> __pyx_t_6 = <span class='pyx_c_api'>__Pyx_GetItemInt</span>(((PyObject *)__pyx_v_boxes), __pyx_v_j, int, 1, __Pyx_PyInt_From_int, 0, 0, 0);<span class='error_goto'> if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 78, __pyx_L5_error)</span> | |
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| __pyx_v_x_min2 = __pyx_t_17; | |
| __pyx_v_y_max2 = __pyx_t_18; | |
| __pyx_v_x_max2 = __pyx_t_19; | |
| </pre><pre class="cython line score-0"> <span class="">079</span>: </pre> | |
| <pre class="cython line score-0"> <span class="">080</span>: <span class="c"># Calculate intersection</span></pre> | |
| <pre class="cython line score-3" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">081</span>: <span class="n">y_min_int</span> <span class="o">=</span> <span class="nb">max</span><span class="p">(</span><span class="n">y_min1</span><span class="p">,</span> <span class="n">y_min2</span><span class="p">)</span></pre> | |
| <pre class='cython code score-3 '> __pyx_t_19 = __pyx_v_y_min2; | |
| __pyx_t_18 = __pyx_v_y_min1; | |
| __pyx_t_2 = (__pyx_t_19 > __pyx_t_18); | |
| if (__pyx_t_2) { | |
| __pyx_t_17 = __pyx_t_19; | |
| } else { | |
| __pyx_t_17 = __pyx_t_18; | |
| } | |
| __pyx_t_6 = <span class='pyx_c_api'>__Pyx_PyInt_From_int</span>(__pyx_t_17);<span class='error_goto'> if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 81, __pyx_L5_error)</span> | |
| <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_6); | |
| <span class='pyx_macro_api'>__Pyx_XDECREF_SET</span>(__pyx_v_y_min_int, __pyx_t_6); | |
| __pyx_t_6 = 0; | |
| </pre><pre class="cython line score-3" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">082</span>: <span class="n">y_max_int</span> <span class="o">=</span> <span class="nb">min</span><span class="p">(</span><span class="n">y_max1</span><span class="p">,</span> <span class="n">y_max2</span><span class="p">)</span></pre> | |
| <pre class='cython code score-3 '> __pyx_t_17 = __pyx_v_y_max2; | |
| __pyx_t_19 = __pyx_v_y_max1; | |
| __pyx_t_2 = (__pyx_t_17 < __pyx_t_19); | |
| if (__pyx_t_2) { | |
| __pyx_t_18 = __pyx_t_17; | |
| } else { | |
| __pyx_t_18 = __pyx_t_19; | |
| } | |
| __pyx_t_6 = <span class='pyx_c_api'>__Pyx_PyInt_From_int</span>(__pyx_t_18);<span class='error_goto'> if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 82, __pyx_L5_error)</span> | |
| <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_6); | |
| <span class='pyx_macro_api'>__Pyx_XDECREF_SET</span>(__pyx_v_y_max_int, __pyx_t_6); | |
| __pyx_t_6 = 0; | |
| </pre><pre class="cython line score-3" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">083</span>: <span class="n">x_min_int</span> <span class="o">=</span> <span class="nb">max</span><span class="p">(</span><span class="n">x_min1</span><span class="p">,</span> <span class="n">x_min2</span><span class="p">)</span></pre> | |
| <pre class='cython code score-3 '> __pyx_t_18 = __pyx_v_x_min2; | |
| __pyx_t_17 = __pyx_v_x_min1; | |
| __pyx_t_2 = (__pyx_t_18 > __pyx_t_17); | |
| if (__pyx_t_2) { | |
| __pyx_t_19 = __pyx_t_18; | |
| } else { | |
| __pyx_t_19 = __pyx_t_17; | |
| } | |
| __pyx_t_6 = <span class='pyx_c_api'>__Pyx_PyInt_From_int</span>(__pyx_t_19);<span class='error_goto'> if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 83, __pyx_L5_error)</span> | |
| <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_6); | |
| <span class='pyx_macro_api'>__Pyx_XDECREF_SET</span>(__pyx_v_x_min_int, __pyx_t_6); | |
| __pyx_t_6 = 0; | |
| </pre><pre class="cython line score-3" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">084</span>: <span class="n">x_max_int</span> <span class="o">=</span> <span class="nb">min</span><span class="p">(</span><span class="n">x_max1</span><span class="p">,</span> <span class="n">x_max2</span><span class="p">)</span></pre> | |
| <pre class='cython code score-3 '> __pyx_t_19 = __pyx_v_x_max2; | |
| __pyx_t_18 = __pyx_v_x_max1; | |
| __pyx_t_2 = (__pyx_t_19 < __pyx_t_18); | |
| if (__pyx_t_2) { | |
| __pyx_t_17 = __pyx_t_19; | |
| } else { | |
| __pyx_t_17 = __pyx_t_18; | |
| } | |
| __pyx_t_6 = <span class='pyx_c_api'>__Pyx_PyInt_From_int</span>(__pyx_t_17);<span class='error_goto'> if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 84, __pyx_L5_error)</span> | |
| <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_6); | |
| <span class='pyx_macro_api'>__Pyx_XDECREF_SET</span>(__pyx_v_x_max_int, __pyx_t_6); | |
| __pyx_t_6 = 0; | |
| </pre><pre class="cython line score-0"> <span class="">085</span>: </pre> | |
| <pre class="cython line score-16" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">086</span>: <span class="k">if</span> <span class="n">y_min_int</span> <span class="o"><</span> <span class="n">y_max_int</span> <span class="ow">and</span> <span class="n">x_min_int</span> <span class="o"><</span> <span class="n">x_max_int</span><span class="p">:</span></pre> | |
| <pre class='cython code score-16 '> __pyx_t_6 = <span class='py_c_api'>PyObject_RichCompare</span>(__pyx_v_y_min_int, __pyx_v_y_max_int, Py_LT); <span class='refnanny'>__Pyx_XGOTREF</span>(__pyx_t_6);<span class='error_goto'> if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 86, __pyx_L5_error)</span> | |
| __pyx_t_20 = <span class='pyx_c_api'>__Pyx_PyObject_IsTrue</span>(__pyx_t_6); if (unlikely((__pyx_t_20 < 0))) <span class='error_goto'>__PYX_ERR(0, 86, __pyx_L5_error)</span> | |
| <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_6); __pyx_t_6 = 0; | |
| if (__pyx_t_20) { | |
| } else { | |
| __pyx_t_2 = __pyx_t_20; | |
| goto __pyx_L20_bool_binop_done; | |
| } | |
| __pyx_t_6 = <span class='py_c_api'>PyObject_RichCompare</span>(__pyx_v_x_min_int, __pyx_v_x_max_int, Py_LT); <span class='refnanny'>__Pyx_XGOTREF</span>(__pyx_t_6);<span class='error_goto'> if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 86, __pyx_L5_error)</span> | |
| __pyx_t_20 = <span class='pyx_c_api'>__Pyx_PyObject_IsTrue</span>(__pyx_t_6); if (unlikely((__pyx_t_20 < 0))) <span class='error_goto'>__PYX_ERR(0, 86, __pyx_L5_error)</span> | |
| <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_6); __pyx_t_6 = 0; | |
| __pyx_t_2 = __pyx_t_20; | |
| __pyx_L20_bool_binop_done:; | |
| if (__pyx_t_2) { | |
| /* … */ | |
| } | |
| __pyx_L14_continue:; | |
| } | |
| __pyx_L15_break:; | |
| __pyx_L9_continue:; | |
| } | |
| </pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">087</span>: <span class="n">area1</span> <span class="o">=</span> <span class="p">(</span><span class="n">y_max1</span> <span class="o">-</span> <span class="n">y_min1</span><span class="p">)</span> <span class="o">*</span> <span class="p">(</span><span class="n">x_max1</span> <span class="o">-</span> <span class="n">x_min1</span><span class="p">)</span></pre> | |
| <pre class='cython code score-0 '> __pyx_v_area1 = ((__pyx_v_y_max1 - __pyx_v_y_min1) * (__pyx_v_x_max1 - __pyx_v_x_min1)); | |
| </pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">088</span>: <span class="n">area2</span> <span class="o">=</span> <span class="p">(</span><span class="n">y_max2</span> <span class="o">-</span> <span class="n">y_min2</span><span class="p">)</span> <span class="o">*</span> <span class="p">(</span><span class="n">x_max2</span> <span class="o">-</span> <span class="n">x_min2</span><span class="p">)</span></pre> | |
| <pre class='cython code score-0 '> __pyx_v_area2 = ((__pyx_v_y_max2 - __pyx_v_y_min2) * (__pyx_v_x_max2 - __pyx_v_x_min2)); | |
| </pre><pre class="cython line score-28" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">089</span>: <span class="n">area_intersection</span> <span class="o">=</span> <span class="p">(</span><span class="n">y_max_int</span> <span class="o">-</span> <span class="n">y_min_int</span><span class="p">)</span> <span class="o">*</span> <span class="p">(</span><span class="n">x_max_int</span> <span class="o">-</span> <span class="n">x_min_int</span><span class="p">)</span></pre> | |
| <pre class='cython code score-28 '> __pyx_t_6 = <span class='py_c_api'>PyNumber_Subtract</span>(__pyx_v_y_max_int, __pyx_v_y_min_int);<span class='error_goto'> if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 89, __pyx_L5_error)</span> | |
| <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_6); | |
| __pyx_t_7 = <span class='py_c_api'>PyNumber_Subtract</span>(__pyx_v_x_max_int, __pyx_v_x_min_int);<span class='error_goto'> if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 89, __pyx_L5_error)</span> | |
| <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_7); | |
| __pyx_t_8 = <span class='py_c_api'>PyNumber_Multiply</span>(__pyx_t_6, __pyx_t_7);<span class='error_goto'> if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 89, __pyx_L5_error)</span> | |
| <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_8); | |
| <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_6); __pyx_t_6 = 0; | |
| <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_7); __pyx_t_7 = 0; | |
| __pyx_t_21 = __pyx_<span class='py_c_api'>PyFloat_AsDouble</span>(__pyx_t_8); if (unlikely((__pyx_t_21 == (double)-1) && <span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 89, __pyx_L5_error)</span> | |
| <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_8); __pyx_t_8 = 0; | |
| __pyx_v_area_intersection = __pyx_t_21; | |
| </pre><pre class="cython line score-0"> <span class="">090</span>: </pre> | |
| <pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">091</span>: <span class="k">if</span> <span class="n">area_intersection</span> <span class="o">/</span> <span class="nb">min</span><span class="p">(</span><span class="n">area1</span><span class="p">,</span> <span class="n">area2</span><span class="p">)</span> <span class="o">>=</span> <span class="mf">0.70</span><span class="p">:</span></pre> | |
| <pre class='cython code score-0 '> __pyx_t_21 = __pyx_v_area2; | |
| __pyx_t_22 = __pyx_v_area1; | |
| __pyx_t_2 = (__pyx_t_21 < __pyx_t_22); | |
| if (__pyx_t_2) { | |
| __pyx_t_23 = __pyx_t_21; | |
| } else { | |
| __pyx_t_23 = __pyx_t_22; | |
| } | |
| __pyx_t_2 = ((__pyx_v_area_intersection / __pyx_t_23) >= 0.70); | |
| if (__pyx_t_2) { | |
| /* … */ | |
| } | |
| </pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">092</span>: <span class="k">if</span> <span class="n">area1</span> <span class="o"><</span> <span class="n">area2</span><span class="p">:</span></pre> | |
| <pre class='cython code score-0 '> __pyx_t_2 = (__pyx_v_area1 < __pyx_v_area2); | |
| if (__pyx_t_2) { | |
| /* … */ | |
| } | |
| </pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">093</span>: <span class="n">to_remove</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="bp">True</span></pre> | |
| <pre class='cython code score-0 '> (__pyx_v_to_remove[__pyx_v_i]) = 1; | |
| </pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">094</span>: <span class="k">break</span></pre> | |
| <pre class='cython code score-0 '> goto __pyx_L15_break; | |
| </pre><pre class="cython line score-0"> <span class="">095</span>: <span class="k">else</span><span class="p">:</span></pre> | |
| <pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">096</span>: <span class="n">to_remove</span><span class="p">[</span><span class="n">j</span><span class="p">]</span> <span class="o">=</span> <span class="bp">True</span></pre> | |
| <pre class='cython code score-0 '> /*else*/ { | |
| (__pyx_v_to_remove[__pyx_v_j]) = 1; | |
| } | |
| </pre><pre class="cython line score-0"> <span class="">097</span>: </pre> | |
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| <pre class="cython line score-0"> <span class="">100</span>: <span class="k">finally</span><span class="p">:</span></pre> | |
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