replace direct dparray ctor with utils func (#750)

* replace direct dparray ctor with utils func

* scalar handling

Author: shssf

dpnp/dpnp_algo/dpnp_algo.pxd

@@ -228,9 +228,6 @@ ctypedef void(*fptr_2in_1out_t)(void *, const void * , const size_t, const long
 ctypedef void(*fptr_blas_gemm_2in_1out_t)(void * , void * , void * , size_t, size_t, size_t)
 ctypedef void(*dpnp_reduction_c_t)(void * , const void * , const size_t*, const size_t, const long*, const size_t, const void * , const long*)
 
-cdef dparray call_fptr_1out(DPNPFuncName fptr_name, result_shape, result_dtype)
-cdef dparray call_fptr_1in_1out(DPNPFuncName fptr_name, dparray x1, dparray_shape_type result_shape)
-
 cpdef dparray dpnp_astype(dparray array1, dtype_target)
 cpdef dparray dpnp_flatten(dparray array1)
 

dpnp/dpnp_algo/dpnp_algo.pyx

@@ -240,18 +240,16 @@ cpdef dpnp_DPNPFuncType_to_dtype(size_t type):
         utils.checker_throw_type_error("dpnp_DPNPFuncType_to_dtype", type)
 
 
-cdef dparray call_fptr_1out(DPNPFuncName fptr_name, result_shape, result_dtype):
+cdef dparray call_fptr_1out(DPNPFuncName fptr_name, dparray_shape_type result_shape, result_dtype):
 
     # Convert string type names (dparray.dtype) to C enum DPNPFuncType
     cdef DPNPFuncType dtype_in = dpnp_dtype_to_DPNPFuncType(result_dtype)
 
     # get the FPTR data structure
     cdef DPNPFuncData kernel_data = get_dpnp_function_ptr(fptr_name, dtype_in, dtype_in)
 
-    result_type = dpnp_DPNPFuncType_to_dtype(< size_t > kernel_data.return_type)
-
     # Create result array with type given by FPTR data
-    cdef dparray result = dparray(result_shape, dtype=result_type)
+    cdef dparray result = utils.create_output_array(result_shape, kernel_data.return_type, None)
 
     cdef fptr_1out_t func = <fptr_1out_t > kernel_data.ptr
     # Call FPTR function
@@ -268,9 +266,8 @@ cdef dparray call_fptr_1in_1out(DPNPFuncName fptr_name, dparray x1, dparray_shap
     """ get the FPTR data structure """
     cdef DPNPFuncData kernel_data = get_dpnp_function_ptr(fptr_name, param1_type, param1_type)
 
-    result_type = dpnp_DPNPFuncType_to_dtype( < size_t > kernel_data.return_type)
     """ Create result array with type given by FPTR data """
-    cdef dparray result = dparray(result_shape, dtype=result_type)
+    cdef dparray result = utils.create_output_array(result_shape, kernel_data.return_type, None)
 
     cdef fptr_1in_1out_t func = <fptr_1in_1out_t > kernel_data.ptr
     """ Call FPTR function """

dpnp/dpnp_algo/dpnp_algo_arraycreation.pyx

@@ -259,11 +259,11 @@ cpdef list dpnp_meshgrid(xi, copy, sparse, indexing):
 
 
 cpdef dparray dpnp_ones(result_shape, result_dtype):
-    return call_fptr_1out(DPNP_FN_ONES, result_shape, result_dtype)
+    return call_fptr_1out(DPNP_FN_ONES, utils._object_to_tuple(result_shape), result_dtype)
 
 
 cpdef dparray dpnp_ones_like(result_shape, result_dtype):
-    return call_fptr_1out(DPNP_FN_ONES_LIKE, result_shape, result_dtype)
+    return call_fptr_1out(DPNP_FN_ONES_LIKE, utils._object_to_tuple(result_shape), result_dtype)
 
 
 cpdef dparray dpnp_trace(arr, offset=0, axis1=0, axis2=1, dtype=None, out=None):
@@ -369,8 +369,8 @@ cpdef dparray dpnp_vander(dparray x1, int N, int increasing):
 
 
 cpdef dparray dpnp_zeros(result_shape, result_dtype):
-    return call_fptr_1out(DPNP_FN_ZEROS, result_shape, result_dtype)
+    return call_fptr_1out(DPNP_FN_ZEROS, utils._object_to_tuple(result_shape), result_dtype)
 
 
 cpdef dparray dpnp_zeros_like(result_shape, result_dtype):
-    return call_fptr_1out(DPNP_FN_ZEROS_LIKE, result_shape, result_dtype)
+    return call_fptr_1out(DPNP_FN_ZEROS_LIKE, utils._object_to_tuple(result_shape), result_dtype)