private
        val propertyOriginalTypes = mutableMapOf<KClass<*>, MutableMap<String, KType>>()

        private
        val claimedFunctions = mutableMapOf<KClass<*>, MutableSet<KFunction<*>>>()

        fun addType(kClass: KClass<*>) {
            properties.getOrPut(kClass) { mutableMapOf() }
            propertyOriginalTypes.getOrPut(kClass) { mutableMapOf() }
        }

			addType(T.Elem())
		case *types.Slice:
			addType(T.Elem())
		case *types.Array:
			addType(T.Elem())
		case *types.Chan:
			addType(T.Elem())
		case *types.Map:
			addType(T.Key())
			addType(T.Elem())
		case *types.Signature:
			addType(T.Params())
			addType(T.Results())
			if tparams := T.TypeParams(); tparams != nil {
				for i := 0; i < tparams.Len(); i++ {
					addType(tparams.At(i))
				}
			}

            } else {
                val rhsType = getDataType(rhsResolution)
                val lhsExpectedType = resolveRef(lhsResolution.property.valueType)
                if (rhsType is DataType.UnitType) {
                    errorCollector.collect(ResolutionError(assignment, ErrorReason.UnitAssignment))
                    hasErrors = true
                }
                if (!checkIsAssignable(rhsType, lhsExpectedType)) {

        rng.uniform(low=0.0, high=1.0, size=static_input_shape).astype(
            np.float32
        )
    )

    def data_gen() -> repr_dataset.RepresentativeDataset:
      for _ in range(100):
        yield {
            'input_tensor': rng.uniform(
                low=0.0, high=1.0, size=static_input_shape
            ).astype(np.float32)
        }

            String type = null
            if (it != key) {
                type = StringUtils.substringAfter(it, "@")
            }
            assert dependency.hasType(type)
        }
    }

    void assertOptionalDependencies(String... expected) {
        assertDependencies(optionalDependencies, expected)
    }

    void assertDependencyManagement(String... expected) {

    String groupId
    String artifactId
    String version
    String classifier
    String type
    boolean optional
    Collection<MavenDependencyExclusion> exclusions = []

    MavenDependency hasType(def type) {
        assert this.type == type
        return this
    }

    @Override
    public String toString() {

        assert this.classifier == classifier
    }

    IvyDescriptorArtifact hasConf(def conf) {
        assert this.conf == conf
        return this
    }

    IvyDescriptorArtifact hasType(def type) {
        assert this.type == type
        return this
    }

    String getClassifier() {
        this.mavenAttributes.get("classifier")
    }

    }

    @Override
    public T hasPackaging(String packaging) {
        backingModule.hasPackaging(packaging);
        return t();
    }

    @Override
    public T hasType(String type) {
        backingModule.hasType(type);
        return t();
    }

    @Override
    public T variant(String variant, Map<String, String> attributes) {
        backingModule.variant(variant, attributes);

            Value<? extends V> value = providerOfValue.calculateValue(consumer);
            if (value.isMissing()) {
                return value.asType();
            }
            collector.add(key, value.getWithoutSideEffect(), dest);
            return Value.present().withSideEffect(SideEffect.fixedFrom(value));
        }

        @Override

            low=-1.0, high=1.0, size=(4, 3)
        ).astype('f4')
        self.bias_0 = np.random.uniform(low=-1.0, high=1.0, size=(3,)).astype(
            'f4'
        )

        self.filters_1 = np.random.uniform(
            low=-1.0, high=1.0, size=(4, 3)
        ).astype('f4')
        self.bias_1 = np.random.uniform(low=-1.0, high=1.0, size=(3,)).astype(
            'f4'
        )