Add implementation of dpnp.ndarray.tolist method

CHANGELOG.md

@@ -18,6 +18,7 @@ Also, that release drops support for Python 3.9, making Python 3.10 the minimum
 * Added implementation of `dpnp.scipy.special.erfcx` [#2596](https://github.com/IntelPython/dpnp/pull/2596)
 * Added implementation of `dpnp.scipy.special.erfinv` and `dpnp.scipy.special.erfcinv` [#2624](https://github.com/IntelPython/dpnp/pull/2624)
 * Enabled support of Python 3.14 [#2631](https://github.com/IntelPython/dpnp/pull/2631)
+* Added implementation of `dpnp.ndarray.tolist` method [#2652](https://github.com/IntelPython/dpnp/pull/2652)
 
 ### Changed
 

doc/reference/io.rst

@@ -0,0 +1,76 @@
+.. currentmodule:: dpnp
+
+Input and output
+================
+
+.. hint:: `NumPy API Reference: Input and output <https://numpy.org/doc/stable/reference/routines.io.html>`_
+
+.. NumPy binary files (npy, npz)
+.. -----------------------------
+.. .. autosummary::
+..    :toctree: generated/
+..    :nosignatures:
+
+..    load
+..    save
+..    savez
+..    savez_compressed
+..    lib.npyio.NpzFile
+
+.. The format of these binary file types is documented in
+.. :py:mod:`numpy.lib.format`
+
+Text files
+----------
+.. autosummary::
+   :toctree: generated/
+   :nosignatures:
+
+   loadtxt
+   savetxt
+   genfromtxt
+   fromregex
+   fromstring
+   ndarray.tofile
+   ndarray.tolist
+
+Raw binary files
+----------------
+
+.. autosummary::
+   :toctree: generated/
+   :nosignatures:
+
+   fromfile
+   ndarray.tofile
+
+.. String formatting
+.. -----------------
+.. .. autosummary::
+..    :toctree: generated/
+..    :nosignatures:
+
+..    array2string
+..    array_repr
+..    array_str
+..    format_float_positional
+..    format_float_scientific
+
+.. Text formatting options
+.. -----------------------
+.. .. autosummary::
+..    :toctree: generated/
+..    :nosignatures:
+
+..    set_printoptions
+..    get_printoptions
+..    printoptions
+
+Base-n representations
+----------------------
+.. autosummary::
+   :toctree: generated/
+   :nosignatures:
+
+   binary_repr
+   base_repr

doc/reference/routines.rst

@@ -18,6 +18,7 @@ These functions cover a subset of
    exceptions
    fft
    functional
+   io
    indexing
    linalg
    logic

dpnp/dpnp_array.py

@@ -2014,7 +2014,51 @@ def to_device(self, device, /, *, stream=None):
 
     # 'tobytes',
     # 'tofile',
-    # 'tolist',
+
+    def tolist(self):
+        """
+        Converts the array to a (possibly nested) Python list.
+
+        For full documentation refer to :obj:`numpy.ndarray.tolist`.
+
+        Returns
+        -------
+        out : list
+            The possibly nested Python list of array elements.
+
+        Examples
+        --------
+        For a 1D array, ``a.tolist()`` is almost the same as ``list(a)``,
+        except that ``tolist`` changes 0D arrays to Python scalars:
+
+        >>> import dpnp as np
+        >>> a = np.array([1, 2])
+        >>> list(a)
+        [array(1), array(2)]
+        >>> a.tolist()
+        [1, 2]
+
+        Additionally, for a 2D array, ``tolist`` applies recursively:
+
+        >>> a = np.array([[1, 2], [3, 4]])
+        >>> list(a)
+        [array([1, 2]), array([3, 4])]
+        >>> a.tolist()
+        [[1, 2], [3, 4]]
+
+        The base case for this recursion is a 0D array:
+
+        >>> a = np.array(1)
+        >>> list(a)
+        Traceback (most recent call last):
+        ...
+        TypeError: iteration over a 0-d array
+        >>> a.tolist()
+        1
+
+        """
+
+        return self.asnumpy().tolist()
 
     def trace(self, offset=0, axis1=0, axis2=1, dtype=None, *, out=None):
         """

dpnp/tests/test_ndarray.py

@@ -107,6 +107,16 @@ def test_strides(self):
         assert xp.full_like(a, fill_value=6) not in a
 
 
+class TestToList:
+    @pytest.mark.parametrize(
+        "data", [[1, 2], [[1, 2], [3, 4]]], ids=["1d", "2d"]
+    )
+    def test_basic(self, data):
+        a = numpy.array(data)
+        ia = dpnp.array(a)
+        assert_array_equal(ia.tolist(), a.tolist())
+
+
 class TestView:
     def test_none_dtype(self):
         a = numpy.ones((1, 2, 4), dtype=numpy.int32)

dpnp/tests/third_party/cupy/logic_tests/test_type_test.py

@@ -1,9 +1,10 @@
+from __future__ import annotations
+
 import unittest
 
 import numpy
 import pytest
 
-import dpnp as cupy
 from dpnp.tests.third_party.cupy import testing
 
 
@@ -122,7 +123,6 @@ def test_scalar(self, xp, dtype):
     @testing.for_all_dtypes()
     @testing.numpy_cupy_equal()
     def test_list(self, xp, dtype):
-        a = testing.shaped_arange((2, 3), xp, dtype)
-        if xp == cupy:
-            a = a.asnumpy()
-        return getattr(xp, self.func)(a.tolist())
+        return getattr(xp, self.func)(
+            testing.shaped_arange((2, 3), xp, dtype).tolist()
+        )