Generated by Cython 3.0.12

Yellow lines hint at Python interaction.
Click on a line that starts with a "+" to see the C code that Cython generated for it.

Raw output: second_derivative.c

+01: # To compile:  #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
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 02: # python setup.py build_ext --inplace --force
 03: 
 04: # "cimport" is used to import special compile-time information
 05: # about the numpy module (this is stored in a file numpy.pxd which is
 06: # currently part of the Cython distribution).
 07: 
 08: cimport cython
 09: cimport numpy as np
 10: 
+11: import numpy as np
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 12: from cython.parallel import prange
 13: 
 14: ctypedef np.float64_t DTYPE_t
 15: 
+16: @cython.cdivision(True)
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 18: @cython.wraparound(False)
 19: def second_derivative(const DTYPE_t[:] delta_wave, const DTYPE_t[:] delta_data, DTYPE_t[:,:] inv_h_matrix, DTYPE_t[:] output, const int n_threads):
 20:     """
 21:     Calculate the second derivative of the input data using natural boundary conditions
 22:     Parameters
 23:     ============
 24:     diag_c : np.ndarray
 25:         The central diagonal of the matrix 
 26:     diag_offset : np.ndarray
 27:         The non-central diagonal
 28:     output : np.ndarray
 29:         Array to which the inverted matrix will be written to 
 30:     n_threads : int
 31:         Number of threads to use 
 32:     """
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+51:     output[0] = 0
  __pyx_t_13 = 0;
  *((__pyx_t_17second_derivative_DTYPE_t *) ( /* dim=0 */ (__pyx_v_output.data + __pyx_t_13 * __pyx_v_output.strides[0]) )) = 0.0;
+52:     output[x_max-1] = 0
  __pyx_t_13 = (__pyx_v_x_max - 1);
  *((__pyx_t_17second_derivative_DTYPE_t *) ( /* dim=0 */ (__pyx_v_output.data + __pyx_t_13 * __pyx_v_output.strides[0]) )) = 0.0;
+53:     for row in prange(1, x_max-1, nogil=True, num_threads=n_threads):
  {
      #ifdef WITH_THREAD
      PyThreadState *_save;
      _save = NULL;
      Py_UNBLOCK_THREADS
      __Pyx_FastGIL_Remember();
      #endif
      /*try:*/ {
        __pyx_t_7 = (__pyx_v_x_max - 1);
        {
            #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95)))))
                #undef likely
                #undef unlikely
                #define likely(x)   (x)
                #define unlikely(x) (x)
            #endif
            __pyx_t_9 = (__pyx_t_7 - 1 + 1 - 1/abs(1)) / 1;
            if (__pyx_t_9 > 0)
            {
                #ifdef _OPENMP
                #pragma omp parallel
                #endif /* _OPENMP */
                {
                    #ifdef _OPENMP
                    #pragma omp for lastprivate(__pyx_v_column) lastprivate(__pyx_v_entry) lastprivate(__pyx_v_int_i) firstprivate(__pyx_v_row) lastprivate(__pyx_v_row)        __pyx_t_7 = (__pyx_v_x_max - 1);
        {
            #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95)))))
                #undef likely
                #undef unlikely
                #define likely(x)   (x)
                #define unlikely(x) (x)
            #endif
            __pyx_t_9 = (__pyx_t_7 - 1 + 1 - 1/abs(1)) / 1;
            if (__pyx_t_9 > 0)
            {
                #ifdef _OPENMP
                #pragma omp parallel
                #endif /* _OPENMP */
                {
                    #ifdef _OPENMP
                    #pragma omp for lastprivate(__pyx_v_column) lastprivate(__pyx_v_entry) lastprivate(__pyx_v_int_i) firstprivate(__pyx_v_row) lastprivate(__pyx_v_row) num_threads(__pyx_v_n_threads)
                    #endif /* _OPENMP */
                    for (__pyx_t_8 = 0; __pyx_t_8 < __pyx_t_9; __pyx_t_8++){
                        {
                            __pyx_v_row = (Py_ssize_t)(1 + 1 * __pyx_t_8);
                            /* Initialize private variables to invalid values */
                            __pyx_v_column = ((Py_ssize_t)0xbad0bad0);
                            __pyx_v_entry = ((__pyx_t_17second_derivative_DTYPE_t)__PYX_NAN());
                            __pyx_v_int_i = ((Py_ssize_t)0xbad0bad0);
/* … */
      /*finally:*/ {
        /*normal exit:*/{
          #ifdef WITH_THREAD
          __Pyx_FastGIL_Forget();
          Py_BLOCK_THREADS
          #endif
          goto __pyx_L7;
        }
        __pyx_L7:;
      }
  }
+54:         entry = 0
                            __pyx_v_entry = 0.0;
+55:         int_i = row -1
                            __pyx_v_int_i = (__pyx_v_row - 1);
+56:         for column in range(0, x_max-2):
                            __pyx_t_15 = (__pyx_v_x_max - 2);
                            __pyx_t_16 = __pyx_t_15;
                            for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) {
                              __pyx_v_column = __pyx_t_17;
 57:             #print(row, column)
+58:             entry = entry + coefs[column] *  inv_h_matrix[int_i,column]
                              __pyx_t_13 = __pyx_v_column;
                              __pyx_t_12 = __pyx_v_int_i;
                              __pyx_t_11 = __pyx_v_column;
                              __pyx_v_entry = (__pyx_v_entry + ((*__Pyx_BufPtrStrided1d(__pyx_t_17second_derivative_DTYPE_t *, __pyx_pybuffernd_coefs.rcbuffer->pybuffer.buf, __pyx_t_13, __pyx_pybuffernd_coefs.diminfo[0].strides)) * (*((__pyx_t_17second_derivative_DTYPE_t *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_inv_h_matrix.data + __pyx_t_12 * __pyx_v_inv_h_matrix.strides[0]) ) + __pyx_t_11 * __pyx_v_inv_h_matrix.strides[1]) )))));
                            }
+59:         output[row] = entry
                            __pyx_t_11 = __pyx_v_row;
                            *((__pyx_t_17second_derivative_DTYPE_t *) ( /* dim=0 */ (__pyx_v_output.data + __pyx_t_11 * __pyx_v_output.strides[0]) )) = __pyx_v_entry;
                        }
                    }
                }
            }
        }
        #if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95)))))
            #undef likely
            #undef unlikely
            #define likely(x)   __builtin_expect(!!(x), 1)
            #define unlikely(x) __builtin_expect(!!(x), 0)
        #endif
      }