center;\n  -ms-flex-pack: justify;\n  justify-content: space-between;\n  padding: 0.5rem 1rem;\n}\n\n.navbar .container,\n.navbar .container-fluid, .navbar .container-sm, .navbar .container-md, .navbar .container-lg, .navbar .container-xl {\n  display: -ms-flexbox;\n  display: flex;\n  -ms-flex-wrap: wrap;\n  flex-wrap: wrap;\n  -ms-flex-align: center;\n  align-items: center;\n  -ms-flex-pack: justify;\n  justify-content: space-between;\n}\n\n.navbar-brand {\n  display: inline-block;\n  padding-top:...

flex;\n  flex-wrap: wrap;\n  align-items: center;\n  justify-content: space-between;\n  padding: var(--bs-navbar-padding-y) var(--bs-navbar-padding-x);\n}\n.navbar > .container,\n.navbar > .container-fluid,\n.navbar > .container-sm,\n.navbar > .container-md,\n.navbar > .container-lg,\n.navbar > .container-xl,\n.navbar > .container-xxl {\n  display: flex;\n  flex-wrap: inherit;\n  align-items: center;\n  justify-content: space-between;\n}\n.navbar-brand {\n  padding-top: var(--bs-navbar-brand-padding-y);\n...

    *   Added `tf.keras.regularizers.OrthogonalRegularizer`, a new regularizer
        that encourages orthogonality between the rows (or columns) or a weight
        matrix.
    *   Added `tf.keras.layers.RandomBrightness` layer for image preprocessing.
    *   Added APIs for switching between interactive logging and absl logging.
        By default, Keras always writes the logs to stdout. However, this is not

- Ensure that volume capability and staging target fields are present in nodeExpansion CSI calls

; d.Equal(exp) != 1 { // t.Errorf("d is %v, expected %v", d, exp) // } } func TestSetBytesRoundTri(t *testing.T) { // TODO: values close to 0, close to 2^255-19, between 2^255-19 and 2^255-1, // and between 2^255 and 2^256-1. Test both the documented SetBytes // behavior, and that Bytes reduces them. } // Tests self-consistency between Multiply and Square. func TestConsistency(t *testing.T) { var x Element var x2, x2sq Element x = Element{1, 1, 1, 1, 1} x2.Multiply(&x, &x) x2sq.Square(&x) if x2 !=...

The key updated docs are:

* Python Types Intro:
    * [Type Hints with Metadata Annotations](https://fastapi.tiangolo.com/python-types/#type-hints-with-metadata-annotations).