margin-top: 4em;
	}
	#result .info {
		display: none;
	}
	#result .more {
		display: block;
	}
	#result .description {
		overflow: hidden;
		text-overflow: ellipsis;
		white-space: nowrap;
	}

class MessageDeflater(
  private val noContextTakeover: Boolean,
) : Closeable {
  private val deflatedBytes = Buffer()

  private val deflater =
    Deflater(
      Deflater.DEFAULT_COMPRESSION,
      // nowrap (omits zlib header):
      true,
    )

  private val deflaterSink = DeflaterSink(deflatedBytes, deflater)

  /** Deflates [buffer] in place as described in RFC 7692 section 7.2.1. */
  @Throws(IOException::class)

class MessageInflater(
  private val noContextTakeover: Boolean,
) : Closeable {
  private val deflatedBytes = Buffer()

  private val inflater =
    Inflater(
      // nowrap (omits zlib header):
      true,
    )

  private val inflaterSource = InflaterSource(deflatedBytes, inflater)

  /** Inflates [buffer] in place as described in RFC 7692 section 7.2.2. */
  @Throws(IOException::class)

}

.daterangepicker .calendar-table th, .daterangepicker .calendar-table td {
  white-space: nowrap;
  text-align: center;
  vertical-align: middle;
  min-width: 32px;
  width: 32px;
  height: 24px;
  line-height: 24px;
  font-size: 12px;
  border-radius: 4px;
  border: 1px solid transparent;
  white-space: nowrap;
  cursor: pointer;
}

.daterangepicker .calendar-table {
  border: 1px solid #fff;

olumn-reverse {\n  -ms-flex-direction: column-reverse !important;\n  flex-direction: column-reverse !important;\n}\n\n.flex-wrap {\n  -ms-flex-wrap: wrap !important;\n  flex-wrap: wrap !important;\n}\n\n.flex-nowrap {\n  -ms-flex-wrap: nowrap !important;\n  flex-wrap: nowrap !important;\n}\n\n.flex-wrap-reverse {\n  -ms-flex-wrap: wrap-reverse !important;\n  flex-wrap: wrap-reverse !important;\n}\n\n.flex-fill {\n  -ms-flex: 1 1 auto !important;\n  flex: 1 1 auto !important;\n}\n\n.flex-grow-0 {\n...

ontainer-fluid,.navbar-expand-sm>.container-lg,.navbar-expand-sm>.container-md,.navbar-expand-sm>.container-sm,.navbar-expand-sm>.container-xl{padding-right:0;padding-left:0}}@media (min-width:576px){.navbar-expand-sm{-ms-flex-flow:row nowrap;flex-flow:row nowrap;-ms-flex-pack:start;justify-content:flex-start}.navbar-expand-sm .navbar-nav{-ms-flex-direction:row;flex-direction:row}.navbar-expand-sm .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-sm .navbar-nav .nav-link{padding-right:...

olumn-reverse {\n  -ms-flex-direction: column-reverse !important;\n  flex-direction: column-reverse !important;\n}\n\n.flex-wrap {\n  -ms-flex-wrap: wrap !important;\n  flex-wrap: wrap !important;\n}\n\n.flex-nowrap {\n  -ms-flex-wrap: nowrap !important;\n  flex-wrap: nowrap !important;\n}\n\n.flex-wrap-reverse {\n  -ms-flex-wrap: wrap-reverse !important;\n  flex-wrap: wrap-reverse !important;\n}\n\n.flex-fill {\n  -ms-flex: 1 1 auto !important;\n  flex: 1 1 auto !important;\n}\n\n.flex-grow-0 {\n...

is the name <code>foo</code> as an address in memory.
This form is used to name global functions and data.
Adding <code>&lt;&gt;</code> to the name, as in <span style="white-space: nowrap"><code>foo&lt;&gt;(SB)</code></span>, makes the name
visible only in the current source file, like a top-level <code>static</code> declaration in a C file.

ontainer-fluid,.navbar-expand-sm>.container-lg,.navbar-expand-sm>.container-md,.navbar-expand-sm>.container-sm,.navbar-expand-sm>.container-xl{padding-right:0;padding-left:0}}@media (min-width:576px){.navbar-expand-sm{-ms-flex-flow:row nowrap;flex-flow:row nowrap;-ms-flex-pack:start;justify-content:flex-start}.navbar-expand-sm .navbar-nav{-ms-flex-direction:row;flex-direction:row}.navbar-expand-sm .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-sm .navbar-nav .nav-link{padding-right:...

  tensorflow::unwrap(ctx)->StartStep();
}

void TFE_ContextEndStep(TFE_Context* ctx) {
  tensorflow::unwrap(ctx)->EndStep();
}

const TFE_OpAttrs* TFE_OpGetAttrs(const TFE_Op* op) {
  return tensorflow::wrap(tensorflow::unwrap(op)->GetOpAttrs());
}

void TFE_OpAddAttrs(TFE_Op* op, const TFE_OpAttrs* attrs) {
  tensorflow::unwrap(op)->AddAttrs(tensorflow::unwrap(attrs));
}