Revert "Lesters/cell cast java"

1 files changed, 0 insertions, 83 deletions

diff --git a/vespajlib/src/main/java/com/yahoo/tensor/functions/CellCast.java b/vespajlib/src/main/java/com/yahoo/tensor/functions/CellCast.java
deleted file mode 100644
index d052e383c85..00000000000
--- a/vespajlib/src/main/java/com/yahoo/tensor/functions/CellCast.java
+++ /dev/null
@@ -1,83 +0,0 @@
-// Copyright Verizon Media. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
-package com.yahoo.tensor.functions;
-
-import com.yahoo.tensor.Tensor;
-import com.yahoo.tensor.TensorType;
-import com.yahoo.tensor.evaluation.EvaluationContext;
-import com.yahoo.tensor.evaluation.Name;
-import com.yahoo.tensor.evaluation.TypeContext;
-
-import java.util.Collections;
-import java.util.Iterator;
-import java.util.List;
-import java.util.Objects;
-
-/**
- * The <i>cell_cast</i> tensor function creates a new tensor with the specified cell value type.
- *
- * @author lesters
- */
-public class CellCast<NAMETYPE extends Name> extends PrimitiveTensorFunction<NAMETYPE> {
-
-    private final TensorFunction<NAMETYPE> argument;
-    private final TensorType.Value valueType;
-
-    public CellCast(TensorFunction<NAMETYPE> argument, TensorType.Value valueType) {
-        Objects.requireNonNull(argument, "The argument tensor cannot be null");
-        Objects.requireNonNull(valueType, "The value type cannot be null");
-        this.argument = argument;
-        this.valueType = valueType;
-    }
-
-    @Override
-    public List<TensorFunction<NAMETYPE>> arguments() { return Collections.singletonList(argument); }
-
-    @Override
-    public TensorFunction<NAMETYPE> withArguments(List<TensorFunction<NAMETYPE>> arguments) {
-        if ( arguments.size() != 1)
-            throw new IllegalArgumentException("CellCast must have 1 argument, got " + arguments.size());
-        return new CellCast<>(arguments.get(0), valueType);
-    }
-
-    @Override
-    public PrimitiveTensorFunction<NAMETYPE> toPrimitive() {
-        return new CellCast<>(argument.toPrimitive(), valueType);
-    }
-
-    @Override
-    public TensorType type(TypeContext<NAMETYPE> context) {
-        return new TensorType(valueType, argument.type(context).dimensions());
-    }
-
-    @Override
-    public Tensor evaluate(EvaluationContext<NAMETYPE> context) {
-        Tensor tensor = argument.evaluate(context);
-        if (tensor.type().valueType() == valueType) {
-            return tensor;
-        }
-        TensorType type = new TensorType(valueType, tensor.type().dimensions());
-        return cast(tensor, type);
-    }
-
-    private Tensor cast(Tensor tensor, TensorType type) {
-        Tensor.Builder builder = Tensor.Builder.of(type);
-        TensorType.Value fromValueType = tensor.type().valueType();
-        for (Iterator<Tensor.Cell> i = tensor.cellIterator(); i.hasNext(); ) {
-            Tensor.Cell cell = i.next();
-            if (fromValueType == TensorType.Value.FLOAT) {
-                builder.cell(cell.getKey(), cell.getFloatValue());
-            } else if (fromValueType == TensorType.Value.DOUBLE) {
-                builder.cell(cell.getKey(), cell.getDoubleValue());
-            } else {
-                builder.cell(cell.getKey(), cell.getValue());
-            }
-        }
-        return builder.build();
-    }
-
-    @Override
-    public String toString(ToStringContext context) {
-        return "cell_cast(" + argument.toString(context) + ", " + valueType + ")";
-    }
-
-}