contextualLabel == "Property \'output\' points to \'${reserved.absolutePath}\' which is managed by Gradle"
                    details == 'Trying to write an output to a read-only location which is for Gradle internal use only'
                    solutions == ['Select a different output location']
                    additionalData.asMap == [

    }

    @Override
    public Iterator<Entry<K, V>> iterator() {
      return unmodifiableEntryIterator(entries.iterator());
    }

    // See java.util.Collections.UnmodifiableEntrySet for details on attacks.

    @Override
    public @Nullable Object[] toArray() {
      /*
       * standardToArray returns `@Nullable Object[]` rather than `Object[]` but because it can

// Turn known-size calls to memclrNoHeapPointers into a Zero.
// Note that we are using types.Types[types.TUINT8] instead of sptr.Type.Elem() - see issue 55122 and CL 431496 for more details.
(SelectN [0] call:(StaticCall {sym} sptr (Const(64|32) [c]) mem))
  && isInlinableMemclr(config, int64(c))
  && isSameCall(sym, "runtime.memclrNoHeapPointers")
  && call.Uses == 1
  && clobber(call)

`depth_radius`.  In detail,

    sqr_sum[a, b, c, d] =
        sum(input[a, b, c, d - depth_radius : d + depth_radius + 1] ** 2)
    output = input / (bias + alpha * sqr_sum) ** beta

For details, see [Krizhevsky et al., ImageNet classification with deep
convolutional neural networks (NIPS 2012)](http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks).
  }];

// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
// GNU Affero General Public License for more details.
//
// You should have received a copy of the GNU Affero General Public License
// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package cmd

import (
	"bytes"
	"context"

// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
// GNU Affero General Public License for more details.
//
// You should have received a copy of the GNU Affero General Public License
// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package cmd

import (
	"context"
	"encoding/base64"

// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
// GNU Affero General Public License for more details.
//
// You should have received a copy of the GNU Affero General Public License
// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package cmd

import (
	"archive/tar"
	"bytes"

	err  error // deferred error for easy chaining
	rows *Rows
}

// Scan copies the columns from the matched row into the values
// pointed at by dest. See the documentation on [Rows.Scan] for details.
// If more than one row matches the query,
// Scan uses the first row and discards the rest. If no row matches
// the query, Scan returns [ErrNoRows].
func (r *Row) Scan(dest ...any) error {
	if r.err != nil {

  }

  // Cannot pass `op.getArgs().getTypes()` to `loader->RefineDynamicShapes`
  // because `op` and `loader` are using different MLIR contexts. See comments
  // on `xla_call_module_context_` for details.
  std::vector<xla::Shape> input_shapes;
  input_shapes.reserve(op.getArgs().size());
  for (mlir::Type type : op.getArgs().getTypes()) {
    input_shapes.push_back(xla::TypeToShape(type));
  }

// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
// GNU Affero General Public License for more details.
//
// You should have received a copy of the GNU Affero General Public License
// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package cmd

import (
	"bytes"
	"context"