Resolve warning and error with cython 3.0.0

.github/workflows/build-sphinx.yml

@@ -80,7 +80,7 @@ jobs:
       - name: Install dpnp dependencies
         run: |
           conda install numpy"<1.24" dpctl mkl-devel-dpcpp onedpl-devel tbb-devel dpcpp_linux-64 \
-              cmake cython"<3" pytest ninja scikit-build sysroot_linux-64">=2.28" ${{ env.CHANNELS }}
+              cmake cython pytest ninja scikit-build sysroot_linux-64">=2.28" ${{ env.CHANNELS }}
 
       - name: Install cuPy dependencies
         run: conda install cupy cudatoolkit=10.0

.github/workflows/generate_coverage.yaml

@@ -41,7 +41,7 @@ jobs:
           sudo apt-get install lcov
       - name: Install dpnp dependencies
         run: |
-          conda install cython"<3" llvm cmake">=3.21" scikit-build ninja pytest pytest-cov coverage[toml] \
+          conda install cython llvm cmake">=3.21" scikit-build ninja pytest pytest-cov coverage[toml] \
               dpctl dpcpp_linux-64 sysroot_linux-64">=2.28" mkl-devel-dpcpp tbb-devel onedpl-devel ${{ env.CHANNELS }}
       - name: Conda info
         run: |

conda-recipe/meta.yaml

@@ -9,7 +9,7 @@ requirements:
       - python
       - setuptools
       - numpy >=1.19,<1.25a0
-      - cython <3
+      - cython
       - cmake >=3.21
       - ninja
       - git

dpnp/CMakeLists.txt

@@ -9,6 +9,7 @@ function(build_dpnp_cython_ext _trgt _src _dest)
   if (DPNP_GENERATE_COVERAGE)
     target_compile_definitions(${_trgt} PRIVATE CYTHON_TRACE=1 CYTHON_TRACE_NOGIL=1)
   endif()
+  target_compile_definitions(${_trgt} PRIVATE NPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION)
   # NumPy
   target_include_directories(${_trgt} PRIVATE ${NumPy_INCLUDE_DIR})
   # Dpctl

dpnp/dparray.pyx

@@ -40,7 +40,13 @@ from libcpp cimport bool as cpp_bool
 
 import numpy
 
+from dpnp.dpnp_algo import (
+    dpnp_astype,
+    dpnp_flatten,
+)
+
 # to avoid interference with Python internal functions
+from dpnp.dpnp_iface import asnumpy
 from dpnp.dpnp_iface import get_dpnp_descriptor as iface_get_dpnp_descriptor
 from dpnp.dpnp_iface import prod as iface_prod
 from dpnp.dpnp_iface import sum as iface_sum
@@ -86,29 +92,63 @@ from dpnp.dpnp_iface_arraycreation import (
     zeros,
     zeros_like,
 )
-from dpnp.dpnp_iface_bitwise import *
-from dpnp.dpnp_iface_counting import *
-from dpnp.dpnp_iface_indexing import *
-from dpnp.dpnp_iface_libmath import *
-from dpnp.dpnp_iface_linearalgebra import *
-from dpnp.dpnp_iface_logic import *
-from dpnp.dpnp_iface_logic import all, any  # TODO do the same as for iface_sum
-from dpnp.dpnp_iface_manipulation import *
-from dpnp.dpnp_iface_mathematical import *
-from dpnp.dpnp_iface_searching import *
-from dpnp.dpnp_iface_sorting import *
-from dpnp.dpnp_iface_statistics import *
+from dpnp.dpnp_iface_indexing import (
+    choose,
+    diagonal,
+    take,
+)
+from dpnp.dpnp_iface_linearalgebra import matmul
+from dpnp.dpnp_iface_logic import (  # TODO do the same as for iface_sum
+    all,
+    any,
+    equal,
+    greater,
+    greater_equal,
+    less,
+    less_equal,
+    not_equal,
+)
+from dpnp.dpnp_iface_manipulation import (
+    copyto,
+    repeat,
+    squeeze,
+    transpose,
+)
+from dpnp.dpnp_iface_mathematical import (
+    add,
+    around,
+    conjugate,
+    cumprod,
+    cumsum,
+    divide,
+    multiply,
+    negative,
+    power,
+    remainder,
+    subtract,
+)
+from dpnp.dpnp_iface_searching import argmax, argmin
+from dpnp.dpnp_iface_sorting import (
+    argsort,
+    partition,
+    sort,
+)
 from dpnp.dpnp_iface_statistics import (  # TODO do the same as for iface_sum
     max,
+    mean,
     min,
+    std,
+    var,
 )
-from dpnp.dpnp_iface_trigonometric import *
-from dpnp.dpnp_iface_types import *
+from dpnp.dpnp_iface_types import float64
 
 cimport numpy
 
 cimport dpnp.dpnp_utils as utils
-from dpnp.dpnp_algo cimport *
+from dpnp.dpnp_algo cimport (
+    dpnp_memory_alloc_c,
+    dpnp_memory_free_c,
+)
 
 
 # initially copied from original