@@ -147,7 +147,7 @@ def __array__(self, dtype=None, /, *, copy=None):
147147
148148 def __array_namespace__ (self , / , * , api_version = None ):
149149 """
150- Returns array namespace, member functions of which implement data API.
150+ Return array namespace, member functions of which implement data API.
151151
152152 Parameters
153153 ----------
@@ -196,7 +196,7 @@ def __contains__(self, value, /):
196196
197197 def __copy__ (self ):
198198 """
199- Used if :func:`copy.copy` is called on an array. Returns a copy of the
199+ Used if :func:`copy.copy` is called on an array. Return a copy of the
200200 array.
201201
202202 Equivalent to ``a.copy(order="K")``.
@@ -214,7 +214,7 @@ def __dlpack__(
214214 self , / , * , stream = None , max_version = None , dl_device = None , copy = None
215215 ):
216216 """
217- Produces DLPack capsule.
217+ Produce DLPack capsule.
218218
219219 Parameters
220220 ----------
@@ -271,7 +271,7 @@ def __dlpack__(
271271
272272 def __dlpack_device__ (self , / ):
273273 """
274- Gives a tuple (``device_type``, ``device_id``) corresponding to
274+ Give a tuple (``device_type``, ``device_id``) corresponding to
275275 ``DLDevice`` entry in ``DLTensor`` in DLPack protocol.
276276
277277 The tuple describes the non-partitioned device where the array has been
@@ -623,7 +623,7 @@ def _create_from_usm_ndarray(usm_ary: dpt.usm_ndarray):
623623
624624 def all (self , axis = None , * , out = None , keepdims = False , where = True ):
625625 """
626- Returns ``True`` if all elements evaluate to ``True.``
626+ Return ``True`` if all elements evaluate to ``True.``
627627
628628 Refer to :obj:`dpnp.all` for full documentation.
629629
@@ -639,7 +639,7 @@ def all(self, axis=None, *, out=None, keepdims=False, where=True):
639639
640640 def any (self , axis = None , * , out = None , keepdims = False , where = True ):
641641 """
642- Returns ``True`` if any of the elements of `a` evaluate to ``True``.
642+ Return ``True`` if any of the elements of `a` evaluate to ``True``.
643643
644644 Refer to :obj:`dpnp.any` for full documentation.
645645
@@ -655,7 +655,7 @@ def any(self, axis=None, *, out=None, keepdims=False, where=True):
655655
656656 def argmax (self , / , axis = None , out = None , * , keepdims = False ):
657657 """
658- Returns array of indices of the maximum values along the given axis.
658+ Return array of indices of the maximum values along the given axis.
659659
660660 Refer to :obj:`dpnp.argmax` for full documentation.
661661
@@ -1076,7 +1076,7 @@ def dot(self, b, out=None):
10761076 @property
10771077 def dtype (self ):
10781078 """
1079- Returns NumPy's dtype corresponding to the type of the array elements.
1079+ Return NumPy's dtype corresponding to the type of the array elements.
10801080
10811081 """ # noqa: D200
10821082
@@ -1309,7 +1309,7 @@ def mean(
13091309 self , / , axis = None , dtype = None , * , out = None , keepdims = False , where = True
13101310 ):
13111311 """
1312- Returns the average of the array elements.
1312+ Return the average of the array elements.
13131313
13141314 Refer to :obj:`dpnp.mean` for full documentation.
13151315
@@ -1478,7 +1478,7 @@ def prod(
14781478 where = True ,
14791479 ):
14801480 """
1481- Returns the prod along a given axis.
1481+ Return the prod along a given axis.
14821482
14831483 Refer to :obj:`dpnp.prod` for full documentation.
14841484
@@ -1496,7 +1496,7 @@ def prod(
14961496
14971497 def put (self , / , indices , vals , axis = None , mode = "wrap" ):
14981498 """
1499- Puts values of an array into another array along a given axis.
1499+ Put values of an array into another array along a given axis.
15001500
15011501 Refer to :obj:`dpnp.put` for full documentation.
15021502
@@ -1567,7 +1567,7 @@ def repeat(self, repeats, axis=None):
15671567
15681568 def reshape (self , / , * shape , order = "C" , copy = None ):
15691569 """
1570- Returns an array containing the same data with a new shape.
1570+ Return an array containing the same data with a new shape.
15711571
15721572 Refer to :obj:`dpnp.reshape` for full documentation.
15731573
@@ -1821,7 +1821,7 @@ def std(
18211821 correction = None ,
18221822 ):
18231823 """
1824- Returns the standard deviation of the array elements, along given axis.
1824+ Return the standard deviation of the array elements, along given axis.
18251825
18261826 Refer to :obj:`dpnp.std` for full documentation.
18271827
@@ -1842,7 +1842,7 @@ def std(
18421842 @property
18431843 def strides (self ):
18441844 """
1845- Returns memory displacement in array elements, upon unit
1845+ Return memory displacement in array elements, upon unit
18461846 change of respective index.
18471847
18481848 For example, for strides ``(s1, s2, s3)`` and multi-index
@@ -1865,7 +1865,7 @@ def sum(
18651865 where = True ,
18661866 ):
18671867 """
1868- Returns the sum along a given axis.
1868+ Return the sum along a given axis.
18691869
18701870 Refer to :obj:`dpnp.sum` for full documentation.
18711871
@@ -1960,7 +1960,7 @@ def take(self, indices, axis=None, *, out=None, mode="wrap"):
19601960
19611961 def to_device (self , device , / , * , stream = None ):
19621962 """
1963- Transfers this array to specified target device.
1963+ Transfer this array to specified target device.
19641964
19651965 Parameters
19661966 ----------
@@ -2020,7 +2020,7 @@ def trace(self, offset=0, axis1=0, axis2=1, dtype=None, *, out=None):
20202020
20212021 def transpose (self , * axes ):
20222022 """
2023- Returns a view of the array with axes transposed.
2023+ Return a view of the array with axes transposed.
20242024
20252025 For full documentation refer to :obj:`numpy.ndarray.transpose`.
20262026
@@ -2102,7 +2102,7 @@ def var(
21022102 correction = None ,
21032103 ):
21042104 """
2105- Returns the variance of the array elements, along given axis.
2105+ Return the variance of the array elements, along given axis.
21062106
21072107 Refer to :obj:`dpnp.var` for full documentation.
21082108
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