// Derived from Inferno utils/6l/obj.c and utils/6l/span.c
// https://bitbucket.org/inferno-os/inferno-os/src/master/utils/6l/obj.c
// https://bitbucket.org/inferno-os/inferno-os/src/master/utils/6l/span.c
//
//	Copyright © 1994-1999 Lucent Technologies Inc.  All rights reserved.
//	Portions Copyright © 1995-1997 C H Forsyth (******@****.***)
//	Portions Copyright © 1997-1999 Vita Nuova Limited

			} else if b, ok := progToBlock[p]; ok {
				buf.WriteString("<b>" + b.HTML() + "</b>")
			}
			buf.WriteString("</dt>")
			buf.WriteString("<dd class=\"ssa-prog\">")
			fmt.Fprintf(&buf, "%.5d <span class=\"l%v line-number\">(%s)</span> %s", p.Pc, p.InnermostLineNumber(), p.InnermostLineNumberHTML(), html.EscapeString(p.InstructionString()))
			buf.WriteString("</dd>")
		}
		buf.WriteString("</dl>")
		buf.WriteString("</code>")

Class <org.gradle.internal.logging.text.Span> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (Span.java:0)

    *   Add support for TensorArrays to `tf.data Dataset`.
    *   Integrate Ragged Tensors with `tf.data`.
    *   All core and experimental tf.data transformations that input
        user-defined functions can span multiple devices now.
    *   Extending the TF 2.0 support for `shuffle(...,
        reshuffle_each_iteration=True)` and `cache()` to work across different
        Python iterators for the same dataset.