Implement aliases introduced in NumPy 2.0

doc/index.rst

@@ -5,7 +5,7 @@ Data Parallel Extension for NumPy*
 ==================================
 
 .. module:: dpnp
-    :noindex:
+    :no-index:
 
 .. toctree::
    :maxdepth: 2

doc/known_words.txt

@@ -29,6 +29,8 @@ finiteness
 Flannery
 Fortran
 Frobenius
+fs
+getter
 Hadamard
 Hypergeometric
 iinfo
@@ -40,11 +42,14 @@ Mersenne
 meshgrid
 Mises
 multinomial
+multivalued
 NaN
 NaT
 ndarray
 ndarrays
 ndim
+Nj
+Nk
 normed
 Nyquist
 oneAPI

doc/reference/binary.rst

@@ -4,7 +4,7 @@ Binary Operations
 .. https://docs.scipy.org/doc/numpy/reference/routines.bitwise.html
 
 Element-wise bit operations
---------------------------
+---------------------------
 
 .. autosummary::
    :toctree: generated/

doc/reference/fft.rst

@@ -12,12 +12,12 @@ Standard FFTs
    :toctree: generated/
    :nosignatures:
 
-   dpnp.fft.fft
-   dpnp.fft.ifft
-   dpnp.fft.fft2
-   dpnp.fft.ifft2
-   dpnp.fft.fftn
-   dpnp.fft.ifftn
+   fft
+   ifft
+   fft2
+   ifft2
+   fftn
+   ifftn
 
 
 Real FFTs
@@ -27,12 +27,12 @@ Real FFTs
    :toctree: generated/
    :nosignatures:
 
-   dpnp.fft.rfft
-   dpnp.fft.irfft
-   dpnp.fft.rfft2
-   dpnp.fft.irfft2
-   dpnp.fft.rfftn
-   dpnp.fft.irfftn
+   rfft
+   irfft
+   rfft2
+   irfft2
+   rfftn
+   irfftn
 
 
 Hermitian FFTs
@@ -42,8 +42,8 @@ Hermitian FFTs
    :toctree: generated/
    :nosignatures:
 
-   dpnp.fft.hfft
-   dpnp.fft.ihfft
+   hfft
+   ihfft
 
 
 Helper routines
@@ -53,10 +53,10 @@ Helper routines
    :toctree: generated/
    :nosignatures:
 
-   dpnp.fft.fftfreq
-   dpnp.fft.rfftfreq
-   dpnp.fft.fftshift
-   dpnp.fft.ifftshift
+   fftfreq
+   rfftfreq
+   fftshift
+   ifftshift
 
    .. fft.config module is not implemented yet
    .. dpnp.fft.config.set_cufft_callbacks
@@ -65,3 +65,4 @@ Helper routines
    .. dpnp.fft.config.show_plan_cache_info
 
 .. automodule:: dpnp.fft
+    :no-index:

doc/reference/random.rst

@@ -13,16 +13,16 @@ Simple random data
    :toctree: generated/
    :nosignatures:
 
-   dpnp.random.rand
-   dpnp.random.randn
-   dpnp.random.randint
-   dpnp.random.random_integers
-   dpnp.random.random_sample
-   dpnp.random.random
-   dpnp.random.ranf
-   dpnp.random.sample
-   dpnp.random.choice
-   dpnp.random.bytes
+   rand
+   randn
+   randint
+   random_integers
+   random_sample
+   random
+   ranf
+   sample
+   choice
+   bytes
 
 
 Permutations
@@ -32,8 +32,8 @@ Permutations
    :toctree: generated/
    :nosignatures:
 
-   dpnp.random.shuffle
-   dpnp.random.permutation
+   shuffle
+   permutation
 
 
 Distributions
@@ -43,41 +43,41 @@ Distributions
    :toctree: generated/
    :nosignatures:
 
-   dpnp.random.beta
-   dpnp.random.binomial
-   dpnp.random.chisquare
-   dpnp.random.dirichlet
-   dpnp.random.exponential
-   dpnp.random.f
-   dpnp.random.gamma
-   dpnp.random.geometric
-   dpnp.random.gumbel
-   dpnp.random.hypergeometric
-   dpnp.random.laplace
-   dpnp.random.logistic
-   dpnp.random.lognormal
-   dpnp.random.logseries
-   dpnp.random.multinomial
-   dpnp.random.multivariate_normal
-   dpnp.random.negative_binomial
-   dpnp.random.noncentral_chisquare
-   dpnp.random.noncentral_f
-   dpnp.random.normal
-   dpnp.random.pareto
-   dpnp.random.poisson
-   dpnp.random.power
-   dpnp.random.rayleigh
-   dpnp.random.standard_cauchy
-   dpnp.random.standard_exponential
-   dpnp.random.standard_gamma
-   dpnp.random.standard_normal
-   dpnp.random.standard_t
-   dpnp.random.triangular
-   dpnp.random.uniform
-   dpnp.random.vonmises
-   dpnp.random.wald
-   dpnp.random.weibull
-   dpnp.random.zipf
+   beta
+   binomial
+   chisquare
+   dirichlet
+   exponential
+   f
+   gamma
+   geometric
+   gumbel
+   hypergeometric
+   laplace
+   logistic
+   lognormal
+   logseries
+   multinomial
+   multivariate_normal
+   negative_binomial
+   noncentral_chisquare
+   noncentral_f
+   normal
+   pareto
+   poisson
+   power
+   rayleigh
+   standard_cauchy
+   standard_exponential
+   standard_gamma
+   standard_normal
+   standard_t
+   triangular
+   uniform
+   vonmises
+   wald
+   weibull
+   zipf
 
 
 Random generator
@@ -87,7 +87,7 @@ Random generator
    :toctree: generated/
    :nosignatures:
 
-   dpnp.random.RandomState
-   dpnp.random.seed
-   dpnp.random.get_random_state
-   dpnp.random.set_random_state
+   RandomState
+   seed
+   get_random_state
+   set_random_state

dpnp/dpnp_iface_arraycreation.py

@@ -913,9 +913,11 @@ def diag(v, /, k=0, *, device=None, usm_type=None, sycl_queue=None):
         on the `k`-th diagonal.
         If `v` is a 2-D array and is an instance of
         {dpnp.ndarray, usm_ndarray}, then:
-          - If `device`, `usm_type`, and `sycl_queue` are set to their
-            default values, returns a read/write view of its k-th diagonal.
-          - Otherwise, returns a copy of its k-th diagonal.
+
+            - If `device`, `usm_type`, and `sycl_queue` are set to their
+              default values, returns a read/write view of its k-th diagonal.
+            - Otherwise, returns a copy of its k-th diagonal.
+
     k : int, optional
         Diagonal in question. Use k > 0 for diagonals above
         the main diagonal, and k < 0 for diagonals below the main diagonal.

dpnp/dpnp_iface_bitwise.py

@@ -46,8 +46,11 @@
 
 __all__ = [
     "bitwise_and",
+    "bitwise_invert",
+    "bitwise_left_shift",
     "bitwise_not",
     "bitwise_or",
+    "bitwise_right_shift",
     "bitwise_xor",
     "invert",
     "left_shift",
@@ -260,6 +263,8 @@
 _INVERT_DOCSTRING = """
 Inverts (flips) each bit for each element `x_i` of the input array `x`.
 
+Note that :obj:`dpnp.bitwise_invert` is an alias of :obj:`dpnp.invert`.
+
 For full documentation refer to :obj:`numpy.invert`.
 
 Parameters
@@ -321,13 +326,15 @@
 
 
 bitwise_not = invert  # bitwise_not is an alias for invert
-
+bitwise_invert = invert  # bitwise_invert is an alias for invert
 
 _LEFT_SHIFT_DOCSTRING = """
 Shifts the bits of each element `x1_i` of the input array x1 to the left by
 appending `x2_i` (i.e., the respective element in the input array `x2`) zeros to
 the right of `x1_i`.
 
+Note that :obj:`dpnp.bitwise_left_shift` is an alias of :obj:`dpnp.left_shift`.
+
 For full documentation refer to :obj:`numpy.left_shift`.
 
 Parameters
@@ -384,11 +391,15 @@
     _LEFT_SHIFT_DOCSTRING,
 )
 
+bitwise_left_shift = left_shift  # bitwise_left_shift is an alias for left_shift
+
 
 _RIGHT_SHIFT_DOCSTRING = """
 Shifts the bits of each element `x1_i` of the input array `x1` to the right
 according to the respective element `x2_i` of the input array `x2`.
 
+Note that :obj:`dpnp.bitwise_right_shift` is an alias of :obj:`dpnp.right_shift`.
+
 For full documentation refer to :obj:`numpy.right_shift`.
 
 Parameters
@@ -445,3 +456,6 @@
     ti._bitwise_right_shift,
     _RIGHT_SHIFT_DOCSTRING,
 )
+
+# bitwise_right_shift is an alias for right_shift
+bitwise_right_shift = right_shift

dpnp/dpnp_iface_logic.py

@@ -1,5 +1,3 @@
-# cython: language_level=3
-# distutils: language = c++
 # -*- coding: utf-8 -*-
 # *****************************************************************************
 # Copyright (c) 2016-2024, Intel Corporation
@@ -397,7 +395,7 @@ def array_equal(a1, a2, equal_nan=False):
     >>> np.array_equal(a, a, equal_nan=True)
     array(True)
 
-    When ``equal_nan`` is ``True``, complex values with nan components are
+    When ``equal_nan`` is ``True``, complex values with NaN components are
     considered equal if either the real *or* the imaginary components are
     ``NaNs``.
 

dpnp/dpnp_iface_manipulation.py

@@ -59,6 +59,7 @@
     "broadcast_to",
     "can_cast",
     "column_stack",
+    "concat",
     "concatenate",
     "copyto",
     "dstack",
@@ -69,6 +70,7 @@
     "hstack",
     "moveaxis",
     "ndim",
+    "permute_dims",
     "ravel",
     "repeat",
     "reshape",
@@ -950,11 +952,13 @@ def concatenate(
     """
     Join a sequence of arrays along an existing axis.
 
+    Note that :obj:`dpnp.concat` is an alias of :obj:`dpnp.concatenate`.
+
     For full documentation refer to :obj:`numpy.concatenate`.
 
     Parameters
     ----------
-    arrays : {dpnp.ndarray, usm_ndarray}
+    arrays : {Sequence of dpnp.ndarray or usm_ndarray}
         The arrays must have the same shape, except in the dimension
         corresponding to axis (the first, by default).
     axis : int, optional
@@ -1031,6 +1035,9 @@ def concatenate(
     return res
 
 
+concat = concatenate  # concat is an alias of concatenate
+
+
 def copyto(dst, src, casting="same_kind", where=True):
     """
     Copies values from one array to another, broadcasting as necessary.
@@ -2309,6 +2316,8 @@ def transpose(a, axes=None):
     """
     Returns an array with axes transposed.
 
+    Note that :obj:`dpnp.permute_dims` is an alias of :obj:`dpnp.transpose`.
+
     For full documentation refer to :obj:`numpy.transpose`.
 
     Parameters
@@ -2375,6 +2384,9 @@ def transpose(a, axes=None):
     return array.transpose(*axes)
 
 
+permute_dims = transpose  # permute_dims is an alias for transpose
+
+
 def trim_zeros(filt, trim="fb"):
     """
     Trim the leading and/or trailing zeros from a 1-D array.
@@ -2513,7 +2525,7 @@ def unique(
     (move the axis to the first dimension to keep the order of the other axes)
     and then flattening the subarrays in C order.
     For complex arrays all NaN values are considered equivalent (no matter
-    whether the NaN is in the real or imaginary part). As the representant for
+    whether the NaN is in the real or imaginary part). As the representative for
     the returned array the smallest one in the lexicographical order is chosen.
     For multi-dimensional inputs, `unique_inverse` is reshaped such that the
     input can be reconstructed using