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RasterFrames brings the power of Spark DataFrames to geospatial raster data, empowered by the map algebra and tile layer operations of GeoTrellis

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/*
 * This software is licensed under the Apache 2 license, quoted below.
 *
 * Copyright 2017 Astraea, Inc.
 *
 * Licensed under the Apache License, Version 2.0 (the "License"); you may not
 * use this file except in compliance with the License. You may obtain a copy of
 * the License at
 *
 *     [http://www.apache.org/licenses/LICENSE-2.0]
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
 * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
 * License for the specific language governing permissions and limitations under
 * the License.
 *
 */

package astraea.spark.rasterframes

import scala.reflect.ClassTag
import scala.reflect.runtime.universe._

/**
 * Module utilities
 *
 * @since 9/25/17
 */
package object encoders {
  private[rasterframes] def runtimeClass[T: TypeTag]: Class[T] =
    typeTag[T].mirror.runtimeClass(typeTag[T].tpe).asInstanceOf[Class[T]]

  private[rasterframes] def typeToClassTag[T: TypeTag]: ClassTag[T] = {
    ClassTag[T](typeTag[T].mirror.runtimeClass(typeTag[T].tpe))
  }
}




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