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dpnp/backend/extensions/statistics/bincount.hpp

@@ -32,9 +32,7 @@
 
 namespace dpctl_td_ns = dpctl::tensor::type_dispatch;
 
-namespace statistics
-{
-namespace histogram
+namespace statistics::histogram
 {
 struct Bincount
 {
@@ -62,5 +60,4 @@ struct Bincount
 };
 
 void populate_bincount(py::module_ m);
-} // namespace histogram
-} // namespace statistics
+} // namespace statistics::histogram

dpnp/backend/extensions/statistics/common.cpp

@@ -29,11 +29,8 @@
 
 namespace dpctl_td_ns = dpctl::tensor::type_dispatch;
 
-namespace statistics
+namespace statistics::common
 {
-namespace common
-{
-
 size_t get_max_local_size(const sycl::device &device)
 {
     constexpr const int default_max_cpu_local_size = 256;
@@ -120,5 +117,4 @@ pybind11::dtype dtype_from_typenum(int dst_typenum)
     }
 }
 
-} // namespace common
-} // namespace statistics
+} // namespace statistics::common

dpnp/backend/extensions/statistics/common.hpp

@@ -36,9 +36,7 @@
 #include "utils/math_utils.hpp"
 // clang-format on
 
-namespace statistics
-{
-namespace common
+namespace statistics::common
 {
 
 template <typename N, typename D>
@@ -200,5 +198,4 @@ sycl::nd_range<1>
 // headers of dpctl.
 pybind11::dtype dtype_from_typenum(int dst_typenum);
 
-} // namespace common
-} // namespace statistics
+} // namespace statistics::common

dpnp/backend/extensions/statistics/dispatch_table.hpp

@@ -39,11 +39,8 @@
 namespace dpctl_td_ns = dpctl::tensor::type_dispatch;
 namespace py = pybind11;
 
-namespace statistics
+namespace statistics::common
 {
-namespace common
-{
-
 template <typename T, typename Rest>
 struct one_of
 {
@@ -386,5 +383,4 @@ class DispatchTable2
     Table2<FnT> table;
 };
 
-} // namespace common
-} // namespace statistics
+} // namespace statistics::common

dpnp/backend/extensions/statistics/histogram.cpp

@@ -26,9 +26,7 @@
 #include <algorithm>
 #include <complex>
 #include <memory>
-#include <string>
-#include <type_traits>
-#include <unordered_map>
+#include <tuple>
 #include <vector>
 
 #include <pybind11/pybind11.h>

dpnp/backend/extensions/statistics/histogram.hpp

@@ -29,11 +29,9 @@
 
 #include "dispatch_table.hpp"
 
-namespace dpctl_td_ns = dpctl::tensor::type_dispatch;
+// namespace dpctl_td_ns = dpctl::tensor::type_dispatch;
 
-namespace statistics
-{
-namespace histogram
+namespace statistics::histogram
 {
 struct Histogram
 {
@@ -59,5 +57,4 @@ struct Histogram
 };
 
 void populate_histogram(py::module_ m);
-} // namespace histogram
-} // namespace statistics
+} // namespace statistics::histogram

dpnp/backend/extensions/statistics/histogram_common.cpp

@@ -26,12 +26,9 @@
 #include <algorithm>
 #include <limits>
 #include <string>
-#include <unordered_map>
 #include <vector>
 
 #include "dpctl4pybind11.hpp"
-#include "utils/memory_overlap.hpp"
-#include "utils/output_validation.hpp"
 #include "utils/type_dispatch.hpp"
 
 #include <pybind11/pybind11.h>

dpnp/backend/extensions/statistics/histogram_common.hpp

@@ -29,14 +29,6 @@
 
 #include "common.hpp"
 
-namespace dpctl
-{
-namespace tensor
-{
-class usm_ndarray;
-}
-} // namespace dpctl
-
 using dpctl::tensor::usm_ndarray;
 
 namespace statistics

dpnp/backend/extensions/statistics/sliding_dot_product1d.cpp

@@ -23,12 +23,8 @@
 // THE POSSIBILITY OF SUCH DAMAGE.
 //*****************************************************************************
 
-#include <algorithm>
 #include <complex>
 #include <memory>
-#include <string>
-#include <type_traits>
-#include <unordered_map>
 #include <vector>
 
 #include <pybind11/pybind11.h>
@@ -42,7 +38,7 @@
 #include "sliding_dot_product1d.hpp"
 #include "sliding_window1d.hpp"
 
-#include <iostream>
+// #include <iostream>
 
 namespace dpctl_td_ns = dpctl::tensor::type_dispatch;
 using dpctl::tensor::usm_ndarray;
@@ -101,7 +97,9 @@ struct SlidingDotProductF
     }
 };
 
-using SupportedTypes = std::tuple<uint64_t,
+using SupportedTypes = std::tuple<uint32_t,
+                                  int32_t,
+                                  uint64_t,
                                   int64_t,
                                   float,
                                   double,

dpnp/backend/extensions/statistics/sliding_dot_product1d.hpp

@@ -26,15 +26,10 @@
 #pragma once
 
 #include "dispatch_table.hpp"
-#include "utils/type_dispatch.hpp"
 #include <pybind11/pybind11.h>
 #include <sycl/sycl.hpp>
 
-namespace dpctl_td_ns = dpctl::tensor::type_dispatch;
-
-namespace statistics
-{
-namespace sliding_window1d
+namespace statistics::sliding_window1d
 {
 struct SlidingDotProduct1d
 {
@@ -62,5 +57,4 @@ struct SlidingDotProduct1d
 };
 
 void populate_sliding_dot_product1d(py::module_ m);
-} // namespace sliding_window1d
-} // namespace statistics
+} // namespace statistics::sliding_window1d

dpnp/backend/extensions/statistics/sliding_window1d.cpp

@@ -23,10 +23,7 @@
 // THE POSSIBILITY OF SUCH DAMAGE.
 //*****************************************************************************
 
-#include <algorithm>
-#include <limits>
 #include <string>
-#include <unordered_map>
 #include <vector>
 
 #include "dpctl4pybind11.hpp"

dpnp/backend/extensions/statistics/sliding_window1d.hpp

@@ -26,23 +26,13 @@
 #pragma once
 
 #include "utils/math_utils.hpp"
-#include <complex>
 #include <sycl/sycl.hpp>
-#include <tuple>
 #include <type_traits>
 
 #include <stdio.h>
 
 #include "common.hpp"
 
-namespace dpctl
-{
-namespace tensor
-{
-class usm_ndarray;
-}
-} // namespace dpctl
-
 using dpctl::tensor::usm_ndarray;
 
 namespace statistics

dpnp/backend/extensions/statistics/validation_utils.cpp

@@ -53,9 +53,7 @@ sycl::queue get_queue(const std::vector<array_ptr> &inputs,
 }
 } // namespace
 
-namespace statistics
-{
-namespace validation
+namespace statistics::validation
 {
 std::string name_of(const array_ptr &arr, const array_names &names)
 {
@@ -189,5 +187,4 @@ void common_checks(const std::vector<array_ptr> &inputs,
     check_no_overlap(inputs, outputs, names);
 }
 
-} // namespace validation
-} // namespace statistics
+} // namespace statistics::validation

dpnp/backend/extensions/statistics/validation_utils.hpp

@@ -31,9 +31,7 @@
 
 #include "dpctl4pybind11.hpp"
 
-namespace statistics
-{
-namespace validation
+namespace statistics::validation
 {
 using array_ptr = const dpctl::tensor::usm_ndarray *;
 using array_names = std::unordered_map<array_ptr, std::string>;
@@ -69,5 +67,4 @@ void check_size_at_least(const array_ptr &arr,
 void common_checks(const std::vector<array_ptr> &inputs,
                    const std::vector<array_ptr> &outputs,
                    const array_names &names);
-} // namespace validation
-} // namespace statistics
+} // namespace statistics::validation

dpnp/dpnp_iface_statistics.py

@@ -511,7 +511,7 @@ def correlate(a, v, mode="valid"):
     Cross-correlation of two 1-dimensional sequences.
 
     This function computes the correlation as generally defined in signal
-    processing texts [1]:
+    processing texts [1]_:
 
     .. math:: c_k = \sum_n a_{n+k} \cdot \overline{v}_n
 
@@ -526,16 +526,16 @@ def correlate(a, v, mode="valid"):
         First input array.
     v : {dpnp.ndarray, usm_ndarray}
         Second input array.
-    mode : {'valid', 'same', 'full'}, optional
+    mode : {"valid", "same", "full"}, optional
         Refer to the :obj:`dpnp.convolve` docstring. Note that the default
-        is ``'valid'``, unlike :obj:`dpnp.convolve`, which uses ``'full'``.
+        is ``"valid"``, unlike :obj:`dpnp.convolve`, which uses ``"full"``.
 
-        Default: ``'valid'``.
+        Default: ``"valid"``.
 
     Notes
     -----
     The definition of correlation above is not unique and sometimes
-    correlation may be defined differently. Another common definition is [1]:
+    correlation may be defined differently. Another common definition is [1]_:
 
     .. math:: c'_k = \sum_n a_{n} \cdot \overline{v_{n+k}}
 
@@ -553,8 +553,8 @@ def correlate(a, v, mode="valid"):
 
     See Also
     --------
-    :obj:`dpnp.convolve` : Discrete, linear convolution of two
-    one-dimensional sequences.
+    :obj:`dpnp.convolve` : Discrete, linear convolution of two one-dimensional
+                        sequences.
 
 
     Examples
@@ -566,7 +566,7 @@ def correlate(a, v, mode="valid"):
     array([3.5], dtype=float32)
     >>> np.correlate(a, v, "same")
     array([2. , 3.5, 3. ], dtype=float32)
-    >>> np.correlate([1, 2, 3], [0, 1, 0.5], "full")
+    >>> np.correlate([a, v, "full")
     array([0.5, 2. , 3.5, 3. , 0. ], dtype=float32)
 
     Using complex sequences:
@@ -577,10 +577,10 @@ def correlate(a, v, mode="valid"):
     array([0.5-0.5j, 1. +0.j , 1.5-1.5j, 3. -1.j , 0. +0.j ], dtype=complex64)
 
     Note that you get the time reversed, complex conjugated result
-    (:math:`\overline{c_{-k}}`) when the two input sequences a and v change
+    (:math:`\overline{c_{-k}}`) when the two input sequences `a` and `v` change
     places:
 
-    >>> np.correlate([0, 1, 0.5j], [1+1j, 2, 3-1j], 'full')
+    >>> np.correlate(vc, ac, 'full')
     array([0. +0.j , 3. +1.j , 1.5+1.5j, 1. +0.j , 0.5+0.5j], dtype=complex64)
 
     """
@@ -606,10 +606,10 @@ def correlate(a, v, mode="valid"):
 
     if supported_dtype is None:
         raise ValueError(
-            f"function '{correlate}' does not support input types "
-            f"({a.dtype}, {v.dtype}), "
+            f"function does not support input types "
+            f"({a.dtype.name}, {v.dtype.name}), "
             "and the inputs could not be coerced to any "
-            f"supported types. List of supported types: {supported_types}"
+            f"supported types. List of supported types: {[st.name for st in supported_types]}"
         )
 
     if dpnp.issubdtype(v.dtype, dpnp.complexfloating):