} catch (e: IOException) {
          // An attempt to communicate with a server failed. The request may have been sent.
          val isRecoverable = recover(e, call, chain, request)
          call.eventListener.retryDecision(call, e, isRecoverable)
          if (!isRecoverable) throw e.withSuppressed(recoveredFailures)
          recoveredFailures += e
          newRoutePlanner = false
          continue
        }

		allowABI:    ctxt != nil && objabi.LookupPkgSpecial(ctxt.Pkgpath).AllowAsmABI,
		pkgPrefix:   pkgPrefix,
	}
}

// panicOnError is enabled when testing to abort execution on the first error
// and turn it into a recoverable panic.
var panicOnError bool

func (p *Parser) errorf(format string, args ...any) {
	if panicOnError {
		panic(fmt.Errorf(format, args...))
	}
	if p.lineNum == p.errorLine {
		// Only one error per line.

   *     the {@link ExecutionException} thrown by {@code input.get()} or, if {@code get()} throws a
   *     different kind of exception, that exception itself. To avoid hiding bugs and other
   *     unrecoverable errors, callers should prefer more specific types, avoiding {@code
   *     Throwable.class} in particular.
   * @param fallback the {@link Function} to be called if the input fails with the expected

   *     the {@link ExecutionException} thrown by {@code input.get()} or, if {@code get()} throws a
   *     different kind of exception, that exception itself. To avoid hiding bugs and other
   *     unrecoverable errors, callers should prefer more specific types, avoiding {@code
   *     Throwable.class} in particular.
   * @param fallback the {@link Function} to be called if {@code input} fails with the expected

   *     underlying this step or, if {@code get()} throws a different kind of exception, that
   *     exception itself. To avoid hiding bugs and other unrecoverable errors, callers should
   *     prefer more specific types, avoiding {@code Throwable.class} in particular.
   * @param fallback the function to be called if this step fails with the expected exception type.

        Specifically, for the type of interruption with advance notice, it
        automatically saves a checkpoint, exits the program without raising an
        unrecoverable error, and restores the progress when training restarts.

*   `tf.math`:

    *   Added `tf.math.approx_max_k` and `tf.math.approx_min_k` which are the