if check_success(val):
      break
    if not suppress_default_error:
      print(error_msg % val)
    environ_cp[var_name] = ''
  else:
    raise UserInputError('Invalid %s setting was provided %d times in a row. '
                         'Assuming to be a scripting mistake.' %
                         (var_name, n_ask_attempts))

  if resolve_symlinks:
    val = os.path.realpath(val)
  environ_cp[var_name] = val

75yrpk--nx?9ctdvkce--nx?a!d?er?olnwod??b2babgm--nx?c!.vog?g9a2g2b0ae0chclc--nx??e&m!bulc??r!k??sopxe?timil?w??fc?g!.&ude?vog???h&d3tbgm--nx?p?t??i!.&ased?bew?ca?enoz,hcs?lim?o&c?g??pok?ro?sepnop?ten?ym?zib??b?ordna?p?rdam??l&iub!.&0v,frusdniw,??og?row??m!.ri,?n&a&b?l!raas???ob?uf??o&of?rp??r&a&c&tiderc?yalcrab??ugnav??ef506w4b--nx?k!.&oc,ude,?jh3a1habgm--nx??of??s!.&dem?gro?moc?ofni?ten?ude?v&og?t???m!kcrem???t!excwkcc--nx?l??uolc!.&a&bura-vnej.&1ti,abura.rue.1ti,?tcepsrep,xo:.&ku,nt,?,?b&altam,...

   * the function is not invoked). Example usage:
   *
   * {@snippet :
   * ListenableFuture<QueryResult> queryFuture = ...;
   * ListenableFuture<List<Row>> rowsFuture =
   *     transform(queryFuture, QueryResult::getRows, executor);
   * }
   *
   * <p>When selecting an executor, note that {@code directExecutor} is dangerous in some cases. See

say, as it turned a corner, `Oh my ears and whiskers, how late
it's getting!'  She was close behind it when she turned the
corner, but the Rabbit was no longer to be seen:  she found
herself in a long, low hall, which was lit up by a row of lamps
hanging from the roof.

  There were doors all round the hall, but they were all locked;
and when Alice had been all the way down one side and up the
other, trying every door, she walked sadly down the middle,

tabular output for API resources via a new mime-type application/json;as=Table;v=v1alpha1;g=meta.k8s.io. The returned object (if the server supports it) will be of type meta.k8s.io/v1alpha1 with Table, and contain column and row information related to the resource. Each row will contain information about the resource - by default it will be the object metadata, but callers can add the ?includeObject=Object query parameter and receive the full object. In the future kubectl will use this to retrieve...

"for" statement, and that is the one whose execution
advances.
</p>

<pre>
RowLoop:
	for y, row := range rows {
		for x, data := range row {
			if data == endOfRow {
				continue RowLoop
			}
			row[x] = data + bias(x, y)
		}
	}
</pre>

<h3 id="Goto_statements">Goto statements</h3>

<p>

1000)}`\n    }\n\n    const newNavItem = `<li class=\"nav-item\" role=\"presentation\"><a href=\"#\" class=\"btn-iframe-close\" data-widget=\"iframe-close\" data-type=\"only-this\"><i class=\"fas fa-times\"></i></a><a class=\"nav-link\" data-toggle=\"row\" id=\"${navId}\" href=\"#${tabId}\" role=\"tab\" aria-controls=\"${tabId}\" aria-selected=\"false\">${title}</a></li>`\n    $(SELECTOR_TAB_NAVBAR_NAV).append(unescape(escape(newNavItem)))\n\n    const newTabItem = `<div class=\"tab-pane fade\" id=\"${tabId}\"...

tabular output for API resources via a new mime-type `application/json;as=Table;v=v1alpha1;g=meta.k8s.io`.  The returned object (if the server supports it) will be of type `meta.k8s.io/v1alpha1` with `Table`, and contain column and row information related to the resource.  Each row will contain information about the resource - by default it will be the object metadata, but callers can add the `?includeObject=Object` query parameter and receive the full object.  In the future kubectl will use this to retrieve...

pkg database/sql, method (*DB) QueryRow(string, ...interface{}) *Row
pkg database/sql, method (*NullBool) Scan(interface{}) error
pkg database/sql, method (*NullFloat64) Scan(interface{}) error
pkg database/sql, method (*NullInt64) Scan(interface{}) error
pkg database/sql, method (*NullString) Scan(interface{}) error
pkg database/sql, method (*Row) Scan(...interface{}) error
pkg database/sql, method (*Rows) Close() error

    *   TPUs can now be re-initialized multiple times, using
        `tf.tpu.experimental.initialize_tpu_system`.
    *   Add `RaggedTensor.merge_dims()`.
    *   Added new `uniform_row_length` row-partitioning tensor to
        `RaggedTensor`.
    *   Add `shape` arg to `RaggedTensor.to_tensor`; Improve speed of
        `RaggedTensor.to_tensor`.