}
	rows.initContextClose(ctx, txctx)
	return rows, nil
}

// QueryRowContext executes a query that is expected to return at most one row.
// QueryRowContext always returns a non-nil value. Errors are deferred until
// [Row]'s Scan method is called.
// If the query selects no rows, the [*Row.Scan] will return [ErrNoRows].
// Otherwise, [*Row.Scan] scans the first selected row and discards
// the rest.

          put(closeable, executor);
          return;
        }
      }
      closeQuietly(closeable, executor);
    }

    /**
     * Returns a latch that reaches zero when this objects' deferred closeables have been closed.
     */
    CountDownLatch whenClosedCountDown() {
      if (closed) {
        return new CountDownLatch(0);
      }
      synchronized (this) {
        if (closed) {

			expectedResize:      v1.PodResizeStatusInProgress,
		},
		{
			name:                "Request CPU and memory increase beyond current capacity - expect Deferred",
			pod:                 testPod2,
			newRequests:         v1.ResourceList{v1.ResourceCPU: cpu2500m, v1.ResourceMemory: mem2500M},

itself.");e.state=1,e.value=t,e.notify()}},ce.notify=function(){var o=this;he(function(){if(o.state!==ae)for(;o.deferred.length;){var t=o.deferred.shift(),e=t[0],i=t[1],n=t[2],r=t[3];try{0===o.state?$(e)?n(e.call(void 0,o.value)):n(o.value):1===o.state&&($(i)?n(i.call(void 0,o.value)):r(o.value))}catch(t){r(t)}}})},ce.then=function(i,n){var r=this;return new ue(function(t,e){r.deferred.push([i,n,t,e]),r.notify()})},ce.catch=function(t){return this.then(void 0,t)};var Te=/^\s*<(\w+|!)[^>]*>/,Ee=/...

          put(closeable, executor);
          return;
        }
      }
      closeQuietly(closeable, executor);
    }

    /**
     * Returns a latch that reaches zero when this objects' deferred closeables have been closed.
     */
    CountDownLatch whenClosedCountDown() {
      if (closed) {
        return new CountDownLatch(0);
      }
      synchronized (this) {
        if (closed) {

Value","resolve","reject","noValue","method","promise","fail","then","Callbacks","object","_","flag","firing","memory","fired","locked","queue","firingIndex","fire","once","stopOnFalse","remove","disable","lock","fireWith","Deferred","func","tuples","state","always","deferred","catch","pipe","fns","newDefer","tuple","returned","progress","notify","onFulfilled","onRejected","onProgress","maxDepth","depth","special","that","mightThrow","TypeError","notifyWith","resolveWith","process","exceptionHoo...

			},
		},
		expectedError: `spec.variables[0].expression: Invalid value: "114 + '514'": compilation failed: ERROR: <input>:1:5: found no matching overload for '_+_' applied to '(int, string)`,
	}, {
		name: "validation referred to non-existing variable",
		config: &admissionregistration.ValidatingAdmissionPolicy{
			ObjectMeta: metav1.ObjectMeta{
				Name: "config",
			},
			Spec: admissionregistration.ValidatingAdmissionPolicySpec{

Value","resolve","reject","noValue","method","promise","fail","then","Callbacks","object","_","flag","firing","memory","fired","locked","queue","firingIndex","fire","once","stopOnFalse","remove","disable","lock","fireWith","Deferred","func","tuples","state","always","deferred","catch","pipe","fns","newDefer","tuple","returned","progress","notify","onFulfilled","onRejected","onProgress","maxDepth","depth","special","that","mightThrow","TypeError","notifyWith","resolveWith","process","exceptionHoo...

        <field>
          <name>downloadUrl</name>
          <version>4.0.0+</version>
          <description>
            The URL of the project's download page. If not given users will be
            referred to the homepage given by {@code url}.
            This is given to assist in locating artifacts that are not in the repository due to
            licensing restrictions.
          </description>

      return rewriter.notifyMatchFailure(
          conv_op,
          "doesn't support conversion to ResizeBilinearOp or "
          "ConvBackpropInputOp");
    }

    // tf.ResizeBilinearOp is perferred than tf.Conv2DBackpropInputOp since
    // the former has better portability, especially in inference use cases.
    bool align_corners;
    llvm::SmallVector<int, 2> output_sizes;