Fix dpnp docstrings for the numpydoc switch

Author: vlad-perevezentsev

dpnp/dpnp_array.py

@@ -1986,8 +1986,8 @@ def sort(
         :obj:`dpnp.searchsorted` : Find elements in a sorted array.
         :obj:`dpnp.partition` : Partial sort.
 
-        Note
-        ----
+        Notes
+        -----
         `axis` in :obj:`dpnp.sort` could be integer or ``None``. If ``None``,
         the array is flattened before sorting. However, `axis` in
         :obj:`dpnp.ndarray.sort` can only be integer since it sorts an array

dpnp/dpnp_iface_linearalgebra.py

@@ -257,7 +257,7 @@ def einsum(
         The calculation based on the Einstein summation convention.
 
     See Also
-    -------
+    --------
     :obj:`dpnp.einsum_path` : Evaluates the lowest cost contraction order
                               for an einsum expression.
     :obj:`dpnp.dot` : Returns the dot product of two arrays.

dpnp/dpnp_iface_manipulation.py

@@ -749,7 +749,7 @@ def asarray_chkfinite(
         already an ndarray.
 
     Raises
-    -------
+    ------
     ValueError
         Raises ``ValueError`` if `a` contains NaN (Not a Number) or
         Inf (Infinity).

dpnp/dpnp_iface_mathematical.py

@@ -2329,7 +2329,7 @@ def ediff1d(ary, to_end=None, to_begin=None):
     returned array is determined by the Type Promotion Rules.
 
 Limitations
-----------
+-----------
 Parameters `where` and `subok` are supported with their default values.
 Keyword argument `kwargs` is currently unsupported.
 Otherwise ``NotImplementedError`` exception will be raised.
@@ -3929,8 +3929,8 @@ def _check_nan_inf(val, val_dt):
 :obj:`dpnp.negative` : Return the numerical negative of each element of `x`.
 :obj:`dpnp.copysign` : Change the sign of `x1` to that of `x2`, element-wise.
 
-Note
-----
+Notes
+-----
 Equivalent to `x.copy()`, but only defined for types that support arithmetic.
 
 Examples

dpnp/dpnp_iface_nanfunctions.py

@@ -129,8 +129,6 @@ def nanargmax(a, axis=None, out=None, *, keepdims=False):
     the user is recommended to filter NaNs themselves and use `dpnp.argmax`
     on the filtered array.
 
-    Warnings
-    --------
     The results cannot be trusted if a slice contains only NaNs
     and -Infs.
 
@@ -213,8 +211,6 @@ def nanargmin(a, axis=None, out=None, *, keepdims=False):
     the user is recommended to filter NaNs themselves and use `dpnp.argmax`
     on the filtered array.
 
-    Warnings
-    --------
     The results cannot be trusted if a slice contains only NaNs
     and -Infs.
 

dpnp/dpnp_iface_trigonometric.py

@@ -907,8 +907,8 @@ def cumlogsumexp(
     :obj:`dpnp.logsumexp` : Logarithm of the sum of elements of the inputs,
                             element-wise.
 
-    Note
-    ----
+    Notes
+    -----
     This function is equivalent of `numpy.logaddexp.accumulate`.
 
     Examples
@@ -1889,8 +1889,8 @@ def logsumexp(x, /, *, axis=None, dtype=None, keepdims=False, out=None):
     :obj:`dpnp.cumlogsumexp` : Cumulative the natural logarithm of the sum of
         elements in the input array.
 
-    Note
-    ----
+    Notes
+    -----
     This function is equivalent of `numpy.logaddexp.reduce`.
 
     Examples
@@ -2171,8 +2171,8 @@ def reduce_hypot(x, /, *, axis=None, dtype=None, keepdims=False, out=None):
     --------
     :obj:`dpnp.hypot` : Calculates :math:`\sqrt{x1^2 + x2^2}`, element-wise.
 
-    Note
-    ----
+    Notes
+    -----
     This function is equivalent of `numpy.hypot.reduce`.
 
     Examples

dpnp/fft/dpnp_iface_fft.py

@@ -559,7 +559,7 @@ def hfft(a, n=None, axis=-1, norm=None, out=None):
     --------
     :obj:`dpnp.fft` : For definition of the DFT and conventions used.
     :obj:`dpnp.fft.rfft` : The one-dimensional FFT of real input.
-    :obj:`dpnp.fft.ihfft` :The inverse of :obj:`dpnp.fft.hfft`.
+    :obj:`dpnp.fft.ihfft` : The inverse of :obj:`dpnp.fft.hfft`.
 
 
     Notes
@@ -1101,7 +1101,7 @@ def irfft(a, n=None, axis=-1, norm=None, out=None):
     :obj:`dpnp.fft.rfft` : The one-dimensional FFT of real input, of which
                         :obj:`dpnp.fft.irfft` is inverse.
     :obj:`dpnp.fft.fft` : The one-dimensional FFT of general (complex) input.
-    :obj:`dpnp.fft.irfft2` :The inverse of the two-dimensional FFT of
+    :obj:`dpnp.fft.irfft2` : The inverse of the two-dimensional FFT of
                         real input.
     :obj:`dpnp.fft.irfftn` : The inverse of the *N*-dimensional FFT of
                         real input.

dpnp/linalg/dpnp_iface_linalg.py

@@ -481,8 +481,8 @@ def eig(a):
         ``eigenvectors[:,i]`` is the eigenvector corresponding to the
         eigenvalue ``eigenvalues[i]``.
 
-    Note
-    ----
+    Notes
+    -----
     Since there is no proper OneMKL LAPACK function, DPNP will calculate
     through a fallback on NumPy call.
 
@@ -645,8 +645,8 @@ def eigvals(a):
         They are not necessarily ordered, nor are they necessarily
         real for real matrices.
 
-    Note
-    ----
+    Notes
+    -----
     Since there is no proper OneMKL LAPACK function, DPNP will calculate
     through a fallback on NumPy call.
 

dpnp/linalg/dpnp_utils_linalg.py

@@ -736,7 +736,7 @@ def _calculate_determinant_sign(ipiv, diag, res_type, n):
     values.
 
     Parameters
-    -----------
+    ----------
     ipiv : {dpnp.ndarray, usm_ndarray}
         The pivot indices from LU decomposition.
     diag : {dpnp.ndarray, usm_ndarray}