Few modifications, did not help...
Former-commit-id: 47121008c9846d8539d85b367763d950e037a1c9
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@ -554,10 +554,9 @@ cdef class trans_calculator:
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# TODO CHECK (and try to cast) INPUT ARRAY TYPES (now is done)
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# BIG FIXME: make skalars valid arguments, now r, theta, phi, r_ge_d have to be ndarrays
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cdef:
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int daxis, saxis, smallaxis, bigaxis, resnd, longest_axis, i, j, d, ax, errval
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int daxis, saxis, smallaxis, bigaxis, resnd, i, j, d, ax, errval
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np.npy_intp sstride, dstride, longi, longstride
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int *local_indices
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int *innerloop_shape
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char *r_p
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char *theta_p
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char *phi_p
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@ -630,18 +629,19 @@ cdef class trans_calculator:
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print(baseshape)
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print(len(baseshape), resnd,smallaxis, bigaxis)
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print(r.shape, theta.shape,phi.shape,r_ge_d.shape)
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longest_axis = 0
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#'''
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cdef int longest_axis = 0
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# FIxME: the whole thing with longest_axis will fail if none is longer than 1
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for i in range(resnd):
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if resultshape[i] > resultshape[longest_axis]:
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longest_axis = i
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innerloop_shape = <int *> malloc(resnd * sizeof(int))
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cdef int* innerloop_shape = <int *> malloc(resnd * sizeof(int))
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if innerloop_shape == NULL:
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abort()
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for i in range(resnd):
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innerloop_shape[i] = resultshape[i]
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innerloop_shape[longest_axis] = 1 # longest axis will be iterated in the outer (parallelized) loop. Therefore, longest axis, together with saxis and daxis, will not be iterated in the inner loop
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#'''
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resultshape[daxis] = self.c[0].nelem
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resultshape[saxis] = self.c[0].nelem
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cdef np.ndarray r_c = np.broadcast_to(r,resultshape)
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@ -653,6 +653,8 @@ cdef class trans_calculator:
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dstride = a.strides[daxis]
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sstride = a.strides[saxis]
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longstride = a.strides[longest_axis]
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if innerloop_shape[daxis] != 1: raise
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if innerloop_shape[saxis] != 1: raise
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# TODO write this in C (as a function) and parallelize there
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with nogil: #, parallel(): # FIXME rewrite this part in C
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local_indices = <int *> calloc(resnd, sizeof(int))
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@ -670,11 +672,11 @@ cdef class trans_calculator:
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b_p = b.data + b.strides[longest_axis] * longi
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for i in range(resnd):
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if i == longest_axis: continue
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if i == saxis or i == daxis: continue
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r_p += r_c.strides[i] * local_indices[i]
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theta_p += theta_c.strides[i] * local_indices[i]
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phi_p += phi_c.strides[i] * local_indices[i]
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r_ge_d_p += r_ge_d_c.strides[i] * local_indices[i]
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if i == saxis or i == daxis: continue
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a_p += a.strides[i] * local_indices[i]
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b_p += b.strides[i] * local_indices[i]
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@ -693,16 +695,11 @@ cdef class trans_calculator:
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local_indices[ax] += 1
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if ax >= 0: # did not overflow, get back to the lowest index
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ax = resnd - 1
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''' wtf?
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for ax in range(a.ndim):
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if (ax == longest_axis or ax == daxis or ax == saxis):
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continue
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'''
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free(local_indices)
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free(innerloop_shape)
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return a, b
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