docs: fix descriptions

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---

Author: kgryte

lib/node_modules/@stdlib/blas/ext/index-of/docs/repl.txt

@@ -1,48 +1,48 @@
 
 {{alias}}( x, searchElement[, fromIndex][, options] )
-    Returns the first index of a specified search element along one or more
-    ndarray dimensions.
+    Returns the first index of a specified search element along an ndarray
+    dimension.
+
+    When searching for a search element, the function checks for equality using
+    the strict equality operator `===`. As a consequence, `NaN` values are
+    considered distinct, and `-0` and `+0` are considered the same.
+
+    If unable to find a search element along an ndarray dimension, the
+    corresponding element in the returned ndarray is `-1`.
 
     Parameters
     ----------
     x: ndarray
-        Input array.
-
-    searchElement: ndarray|*
-        Element in an input ndarray for which to find an index. May be either a
-        scalar value or an ndarray having a data type same as the data type of
-        the input ndarray. If provided a scalar value, the value is cast to the
-        data type of the input ndarray. If provided an ndarray, the value must
-        have a shape which is broadcast compatible with the complement of the
-        shape defined by `options.dims`. For example, given the input shape
-        `[2, 3, 4]` and `options.dims=[0]`, the search element ndarray must have
-        a shape which is broadcast-compatible with the shape `[3, 4]`. Similarly
-        when performing the operation over all elements in a provided input
-        ndarray, a search element ndarray must be a zero-dimensional ndarray.
+        Input array. Must have at least one dimension.
+
+    searchElement: ndarray|any
+        Search element. May be either a scalar value or an ndarray. If provided
+        a scalar value, the value is cast to the data type of the input ndarray.
+        If provided an ndarray, the value must have a shape which is broadcast
+        compatible with the non-reduced dimensions of the input ndarray. For
+        example, given the input shape `[2, 3, 4]` and `options.dim=0`, the
+        search element ndarray must have a shape which is broadcast-compatible
+        with the shape `[3, 4]`.
 
     fromIndex: ndarray|integer (optional)
         Index from which to begin searching. May be either a scalar value or an
-        ndarray having an `integer` or `generic` data type. If provided an
-        ndarray the value must have a shape which is broadcast compatible with
-        the complement of the shape defined by `options.dims`. For example,
-        given the input shape `[2, 3, 4]` and `options.dims=[0]`, an ndarray
-        containing the index from which to begin searching must have a shape
-        which is broadcast-compatible with the shape `[3, 4]`. Similarly
-        when performing the operation over all elements in a provided input
-        ndarray, an ndarray containing the index from which to begin searching
-        must be a zero-dimensional ndarray. By default, the index
-        from which to begin searching is `0`.
+        ndarray having an integer or "generic" data type. If provided an ndarray
+        the value must have a shape which is broadcast compatible with the non-
+        reduced dimensions of the input ndarray. For example, given the input
+        shape `[2, 3, 4]` and `options.dim=0`, a provided ndarray must have a
+        shape which is broadcast-compatible with the shape `[3, 4]`. Default: 0.
 
     options: Object (optional)
         Function options.
 
     options.dtype: string (optional)
-        Output array data type. Must be an integer or generic data type.
+        Output array data type. Must be an integer or "generic" data type.
 
-    options.dims: Array<integer> (optional)
-        List of dimensions over which to perform a reduction. If not provided,
-        the function performs a reduction over all elements in a provided input
-        ndarray.
+    options.dim: integer (optional)
+        Dimension over which to perform a reduction. If provided a negative
+        integer, the dimension along which to perform the operation is
+        determined by counting backward from the last dimension (where -1 refers
+        to the last dimension). Default: -1.
 
     options.keepdims: boolean (optional)
         Boolean indicating whether the reduced dimensions should be included in
@@ -58,53 +58,53 @@
     > var x = {{alias:@stdlib/ndarray/array}}( [ -1.0, 2.0, -3.0, -4.0 ] );
     > var y = {{alias}}( x, 2.0 );
     > var v = y.get()
-    1.0
+    1
 
 
 {{alias}}.assign( x, searchElement[, fromIndex], out[, options] )
-    Returns the first index of a specified search element along one or more
-    ndarray dimensions and assigns results to a provided output ndarray.
+    Returns the first index of a specified search element along an ndarray
+    dimension and assigns results to a provided output ndarray.
+
+    When searching for a search element, the function checks for equality using
+    the strict equality operator `===`. As a consequence, `NaN` values are
+    considered distinct, and `-0` and `+0` are considered the same.
+
+    If unable to find a search element along an ndarray dimension, the
+    corresponding element in the returned ndarray is `-1`.
 
     Parameters
     ----------
     x: ndarray
-        Input array.
-
-    searchElement: ndarray|*
-        Element in an input ndarray for which to find an index. May be either a
-        scalar value or an ndarray having a data type same as the data type of
-        the input ndarray. If provided a scalar value, the value is cast to the
-        data type of the input ndarray. If provided an ndarray, the value must
-        have a shape which is broadcast compatible with the complement of the
-        shape defined by `options.dims`. For example, given the input shape
-        `[2, 3, 4]` and `options.dims=[0]`, the search element ndarray must have
-        a shape which is broadcast-compatible with the shape `[3, 4]`. Similarly
-        when performing the operation over all elements in a provided input
-        ndarray, a search element ndarray must be a zero-dimensional ndarray.
+        Input array. Must have at least one dimension.
+
+    searchElement: ndarray|any
+        Search element. May be either a scalar value or an ndarray. If provided
+        a scalar value, the value is cast to the data type of the input ndarray.
+        If provided an ndarray, the value must have a shape which is broadcast
+        compatible with the non-reduced dimensions of the input ndarray. For
+        example, given the input shape `[2, 3, 4]` and `options.dim=0`, the
+        search element ndarray must have a shape which is broadcast-compatible
+        with the shape `[3, 4]`.
 
     fromIndex: ndarray|integer (optional)
         Index from which to begin searching. May be either a scalar value or an
-        ndarray having an `integer` or `generic` data type. If provided an
-        ndarray the value must have a shape which is broadcast compatible with
-        the complement of the shape defined by `options.dims`. For example,
-        given the input shape `[2, 3, 4]` and `options.dims=[0]`, an ndarray
-        containing the index from which to begin searching must have a shape
-        which is broadcast-compatible with the shape `[3, 4]`. Similarly
-        when performing the operation over all elements in a provided input
-        ndarray, an ndarray containing the index from which to begin searching
-        must be a zero-dimensional ndarray. By default, the value of the index
-        from which to begin searching is `0`.
+        ndarray having an integer or "generic" data type. If provided an ndarray
+        the value must have a shape which is broadcast compatible with the non-
+        reduced dimensions of the input ndarray. For example, given the input
+        shape `[2, 3, 4]` and `options.dim=0`, a provided ndarray must have a
+        shape which is broadcast-compatible with the shape `[3, 4]`. Default: 0.
 
     out: ndarray
         Output array.
 
     options: Object (optional)
         Function options.
 
-    options.dims: Array<integer> (optional)
-        List of dimensions over which to perform a reduction. If not provided,
-        the function performs a reduction over all elements in a provided input
-        ndarray.
+    options.dim: integer (optional)
+        Dimension over which to perform a reduction. If provided a negative
+        integer, the dimension along which to perform the operation is
+        determined by counting backward from the last dimension (where -1 refers
+        to the last dimension). Default: -1.
 
     Returns
     -------
@@ -120,7 +120,7 @@
     > var bool = ( out === y )
     true
     > var v = out.get()
-    1.0
+    1
 
     See Also
     --------