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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))
}
}