metasim

metasim

import org.apache.spark.sql.SparkSession
import geotrellis.raster._
import geotrellis.raster.gdal.GDALRasterSource

// implicit val spark = SparkSession.builder().
//    master("local[*]").appName("Hit me").getOrCreate()

val path = "https://s22s-rasterframes-integration-tests.s3.amazonaws.com/B08.jp2"

spark.range(1000).rdd.

metasim

/*
 * This software is licensed under the Apache 2 license, quoted below.
 *
 * Copyright 2020 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]

metasim

/*
 * 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]

metasim

metasim

metasim

java.lang.AssertionError: assertion failed: unsafe symbol Logger (child of package scalalogging) in runtime reflection universe
	at scala.reflect.internal.Symbols$Symbol.<init>(Symbols.scala:184)
	at scala.reflect.internal.Symbols$TypeSymbol.<init>(Symbols.scala:3009)
	at scala.reflect.internal.Symbols$ClassSymbol.<init>(Symbols.scala:3201)
	at scala.reflect.internal.Symbols$StubClassSymbol.<init>(Symbols.scala:3496)
	at scala.reflect.internal.Symbols$Symbol.newStubSymbol(Symbols.scala:498)
	at scala.reflect.internal.pickling.UnPickler$Scan.readExtSymbol$1(UnPickler.scala:258)
	at scala.reflect.internal.pickling.UnPickler$Scan.readSymbol(UnPickler.scala:284)
	at scala.reflect.internal.pickling.UnPickler$Scan.readSymbolRef(UnPickler.scala:649)
	at scala.reflect.internal.pickling.UnPickler$Scan.readType(UnPickler.scala:417)

metasim

import geotrellis.raster.io.geotiff.SinglebandGeoTiff
import org.apache.spark.SparkFiles
import org.apache.spark.sql.SparkSession
import org.locationtech.rasterframes._
import org.locationtech.rasterframes.datasource.geotiff._


object LayerToGeoTiff {
  def main(args: Array[String]): Unit = {
    implicit val spark = new SparkSession.Builder()

metasim

metasim

    def set_dims(parts):
        assert(len(parts) is 2, "Expected dimensions specification to have exactly two components")
        assert(all([isinstance(p, int) and p > 0 for p in parts]),
               "Expected all components in dimensions to be positive integers")
        options.update({
            "imageWidth": parts[0],
            "imageHeight": parts[1]
        })

    if raster_dimensions is not None: