Reslve formatting issue in documentation of dpnp.ravel_multi_index and dpnp.unravel_index (#2053) (#2056)

Co-authored-by: vtavana <120411540+vtavana@users.noreply.github.com>

Author: antonwolfy

dpnp/dpnp_iface_indexing.py

@@ -1471,15 +1471,17 @@ def ravel_multi_index(multi_index, dims, mode="raise", order="C"):
     multi_index : tuple of {dpnp.ndarray, usm_ndarray}
         A tuple of integer arrays, one array for each dimension.
     dims : tuple or list of ints
-        The shape of array into which the indices from ``multi_index`` apply.
+        The shape of array into which the indices from `multi_index` apply.
     mode : {"raise", "wrap" or "clip'}, optional
         Specifies how out-of-bounds indices are handled. Can specify either
         one mode or a tuple of modes, one mode per index:
-            - "raise" -- raise an error
-            - "wrap" -- wrap around
-            - "clip" -- clip to the range
-            In "clip" mode, a negative index which would normally wrap will
-            clip to 0 instead.
+
+        - "raise" -- raise an error
+        - "wrap" -- wrap around
+        - "clip" -- clip to the range
+
+        In ``"clip"`` mode, a negative index which would normally wrap will
+        clip to 0 instead.
         Default: ``"raise"``.
     order : {None, "C", "F"}, optional
         Determines whether the multi-index should be viewed as indexing in
@@ -1490,7 +1492,7 @@ def ravel_multi_index(multi_index, dims, mode="raise", order="C"):
     -------
     raveled_indices : dpnp.ndarray
         An array of indices into the flattened version of an array of
-        dimensions ``dims``.
+        dimensions `dims`.
 
     See Also
     --------
@@ -1509,6 +1511,7 @@ def ravel_multi_index(multi_index, dims, mode="raise", order="C"):
     array([22, 23, 19])
     >>> np.ravel_multi_index(arr, (4, 4), mode=("clip", "wrap"))
     array([12, 13, 13])
+
     >>> arr = np.array([3, 1, 4, 1])
     >>> np.ravel_multi_index(arr, (6, 7, 8, 9))
     array(1621)
@@ -2316,17 +2319,18 @@ def triu_indices_from(arr, k=0):
 
 
 def unravel_index(indices, shape, order="C"):
-    """Converts array of flat indices into a tuple of coordinate arrays.
+    """
+    Converts array of flat indices into a tuple of coordinate arrays.
 
     For full documentation refer to :obj:`numpy.unravel_index`.
 
     Parameters
     ----------
     indices : {dpnp.ndarray, usm_ndarray}
         An integer array whose elements are indices into the flattened version
-        of an array of dimensions ``shape``.
+        of an array of dimensions `shape`.
     shape : tuple or list of ints
-        The shape of the array to use for unraveling ``indices``.
+        The shape of the array to use for unraveling `indices`.
     order : {None, "C", "F"}, optional
         Determines whether the indices should be viewed as indexing in
         row-major (C-style) or column-major (Fortran-style) order.
@@ -2342,10 +2346,9 @@ def unravel_index(indices, shape, order="C"):
     :obj:`dpnp.ravel_multi_index` : Converts a tuple of index arrays into an
                                     array of flat indices.
 
-
     Examples
     --------
-    import dpnp as np
+    >>> import dpnp as np
     >>> np.unravel_index(np.array([22, 41, 37]), (7, 6))
     (array([3, 6, 6]), array([4, 5, 1]))
     >>> np.unravel_index(np.array([31, 41, 13]), (7, 6), order="F")