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DAG-oriented machine learning framework for bug-resistant, readable, efficient, maintainable and trivially deployable models in Java and other JVM languages
// AUTOGENERATED CODE. DO NOT MODIFY DIRECTLY! Instead, please modify the function/FunctionResultX.ftl file.
// See the README in the module's src/template directory for details.
package com.linkedin.dagli.function;
import com.linkedin.dagli.annotation.equality.ValueEquality;
import com.linkedin.dagli.producer.Producer;
import com.linkedin.dagli.transformer.AbstractPreparedTransformer8;
import com.linkedin.dagli.producer.MissingInput;
import com.linkedin.dagli.util.function.Function1;
import com.linkedin.dagli.util.function.Function8;
import com.linkedin.dagli.util.named.Named;
/**
* FunctionResult transformers apply a (serializable) function object, method reference, or lambda against their inputs.
*
* Versioning of the underlying function is not enforced (i.e. FunctionResult doesn't know if the implementation of a
* method changes).
*
* If you're using serializable function objects or method references (e.g. String::length, str::startsWith, etc.), you
* can stop reading here.
*
* For lambdas (anonymous functions, i.e. {@code (args) -> { body }}), there are strict limitations with respect to
* serializability because they are implemented as anonymous classes. Make sure you understand these, as otherwise your
* DAG may be writable, but not readable, or an innocuous change may break deserialization after initially working fine!
*
* Because of this, you must use withFunctionUnsafe(...) to use a lambda function. This is by design, to warn you that
* your DAG will consequently not be safely serializable.
*
* Again, warning! Lambda functions, which are implemented with anonymous classes, are inherently
* unsafe to serialize! Lambdas are not a problem if the DAG is not serialized, but we highly discourage them in
* any serialized setup, especially if it's production. Three conditions must be met for lambdas to
* serialize and deserialize successfully:
* (1) the class in which they were created must exist in both serializing and deserializing programs.
* (2) the ORDER in which the lambdas are defined must not change. The names of the generated anonymous classes are
* dependent upon the position in which the lambda appears in the file!
* (3) the JVM should be consistent, as different JVMs are in principle free to generate different class names.
*/
@ValueEquality
public class FunctionResult8 extends
AbstractPreparedTransformer8> {
private static final long serialVersionUID = 1;
private Function8.Serializable _function = null;
/**
* Creates a new instance with no function and missing inputs. These must be set via the withFunction(...) and
* withInputs(...) methods, respectively.
*/
public FunctionResult8() {
super(MissingInput.get(), MissingInput.get(), MissingInput.get(), MissingInput.get(), MissingInput.get(),
MissingInput.get(), MissingInput.get(), MissingInput.get());
}
/**
* Creates a new instance that processes inputs with the specified function.
*
* @param func a serializable function object or a method reference. FunctionResult will attempt to detect lambda
* functions and throw an exception in such cases, but as this is in principle JDK dependent these checks
* cannot absolutely be guaranteed to catch such abuses. If you MUST use a lambda, call
* withFunctionUnsafe(...).
*/
public FunctionResult8(Function8.Serializable func) {
this();
_function = func.safelySerializable();
}
/**
* Specifies that this transformer will produce a null value if any input value is null. In such cases, the wrapped
* function will not be called, making this useful if your inputs may contain nulls that would otherwise cause your
* function to throw a {@link NullPointerException} or similar error.
*
* @return a copy of this transformer that will produce a null value if any of the input values is null.
*/
public FunctionResult8 withNullResultOnNullInput() {
return clone(c -> c._function = _function.returnNullOnNullArgument());
}
public FunctionResult8 withInputs(Producer extends A> input1,
Producer extends B> input2, Producer extends C> input3, Producer extends D> input4,
Producer extends E> input5, Producer extends F> input6, Producer extends G> input7,
Producer extends H> input8) {
return super.withAllInputs(input1, input2, input3, input4, input5, input6, input7, input8);
}
/**
* Returns a copy of this instance that will process inputs with the specified function.
*
* @param func a serializable function object or a method reference. FunctionResult will attempt to detect lambda
* functions and throw an exception in such cases, but as this is in principle JDK dependent these checks
* cannot absolutely be guaranteed to catch such abuses. If you MUST use a lambda, call
* withFunctionUnsafe(...).
*/
public FunctionResult8 withFunction(Function8.Serializable func) {
return clone(c -> c._function = func.safelySerializable());
}
/**
* Returns a copy of this instance that will process inputs with the specified function. This method is UNSAFE
* because it permits arbitrary lambda functions, which are very difficult to safely serialize. We strongly caution
* against using this method if you need FunctionResult (and thus your DAG as a whole) to be reliably deserializable.
*
* @param func an arbitrary lambda function
*/
public FunctionResult8 withFunctionUnsafe(
Function8.Serializable func) {
return clone(c -> {
try {
c._function = func.safelySerializable();
} catch (RuntimeException e) {
c._function = func; // force use of non-safely-serializable method
}
});
}
@Override
public R apply(A input1, B input2, C input3, D input4, E input5, F input6, G input7, H input8) {
return _function.apply(input1, input2, input3, input4, input5, input6, input7, input8);
}
/**
* Returns a new {@link FunctionResult8} that composes this instance's function with another "mapper" function such
* that the result is {@code mapper.apply(thisFunction.apply(...))}. The other properties of the returned
* transformer, including the inputs, remain the same as this one.
*
* Note that, while very close, this is not exactly equivalent to
* {@code new FunctionResult1(someFunction).withInput(thisTransformer)} because the intermediate results never transit
* through the DAG, which is slightly more efficient and means that, e.g. these intermediates can safely share or
* reuse (thread-local) state.
*
* @param mapper a function that will map the result of this instance's function; this function must be safely
* serializable (see {@link Function1.Serializable#safelySerializable()}).
* @param the type of the final result of the composed function
* @return a new {@link FunctionResult8} that composes this instance's function with another "mapper" function
*/
@SuppressWarnings("unchecked")
public FunctionResult8 andThen(Function1.Serializable super R, ? extends Q> mapper) {
return (FunctionResult8) clone(c -> ((FunctionResult8) c)._function =
_function.andThen(mapper.safelySerializable()));
}
@Override
public String toString() {
return "FunctionResult8(" + _function.toString() + ")";
}
@Override
protected String getDefaultName() {
return Named.getName(_function);
}
@Override
protected String getDefaultShortName() {
return Named.getShortName(_function);
}
}
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