示例#1
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文件: test_types.py 项目: Anteru/nsl
    def testResolveBinaryExpressionTypeMVPromotesRightSide(self):
        m44 = types.MatrixType(types.Float(), 4, 4)
        f4 = types.VectorType(types.Integer(), 4)

        r = types.ResolveBinaryExpressionType(op.Operation.MUL, m44, f4)

        assert r.GetOperandType(1) == types.VectorType(types.Float(), 4)
示例#2
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文件: test_types.py 项目: Anteru/nsl
    def testResolveBinaryExpressionWorksOnCompatibleSizes(self):
        r = types.ResolveBinaryExpressionType(
            op.Operation.MUL, types.MatrixType(types.Float(), 4, 2),
            types.VectorType(types.Float(), 2))
        expectedType = types.VectorType(types.Float(), 4)

        assert r.GetReturnType() == expectedType
示例#3
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文件: test_types.py 项目: Anteru/nsl
    def testResolveBinaryExpressionVectorScalarDiv(self):
        vt = types.VectorType(types.Float(), 4)
        it = types.Integer()

        rt = types.ResolveBinaryExpressionType(op.Operation.DIV, vt, it)

        assert rt.GetReturnType() == vt
示例#4
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文件: test_types.py 项目: Anteru/nsl
    def testResolveBinaryExpressionTypeMV(self):
        m44 = types.MatrixType(types.Float(), 4, 4)
        f4 = types.VectorType(types.Float(), 4)

        r = types.ResolveBinaryExpressionType(op.Operation.MUL, m44, f4)

        assert r.GetReturnType() == f4
示例#5
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文件: test_types.py 项目: Anteru/nsl
    def testResolveBinaryExpressionForScalarVectorPromotes(self):
        left = types.Integer()
        right = types.VectorType(types.Float(), 4)

        t = types.ResolveBinaryExpressionType(op.Operation.MUL, left, right)

        assert t.GetOperandType(0) == types.Float()
        assert t.GetOperandType(1) == right
示例#6
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文件: test_types.py 项目: Anteru/nsl
    def testResolveBinaryExpressionMVFailsForNonMultiply(self):
        invalidOperations = [
            op.Operation.ADD, op.Operation.SUB, op.Operation.DIV
        ]

        for operation in invalidOperations:
            with pytest.raises(Exception):
                types.ResolveBinaryExpressionType(
                    operation, types.MatrixType(types.Float(), 4, 4),
                    types.VectorType(types.Float(), 2))
示例#7
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def ComputeSwizzleType(inType, mask):
    '''Compute the resulting type of a swizzle operation.
	@param inType: Must be a PrimitiveType
	@param mask: A valid swizzle mask
	'''
    assert isinstance(inType, types.Type)
    outComponentCount = len(mask)

    swizzleType = inType.GetComponentType()

    if outComponentCount == 1:
        return swizzleType
    else:
        result = types.VectorType(swizzleType, outComponentCount)

        return result
示例#8
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文件: test_types.py 项目: Anteru/nsl
    def testResolveBinaryExpressionFailsForVVDiv(self):
        vt = types.VectorType(types.Float(), 4)

        with pytest.raises(Exception):
            types.ResolveBinaryExpressionType(op.Operation.DIV, vt, vt)
示例#9
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文件: test_types.py 项目: Anteru/nsl
    def testIsCompatibleFloat2Int2(self):
        f2 = types.VectorType(types.Float(), 2)
        i2 = types.VectorType(types.Integer(), 2)

        assert types.IsCompatible(f2, i2)
示例#10
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文件: test_types.py 项目: Anteru/nsl
 def testResolveBinaryExpressionMVFailsOnIncompatibleSizes(self):
     with pytest.raises(Exception):
         types.ResolveBinaryExpressionType(
             op.Operation.MUL, types.MatrixType(types.Float(), 2, 4),
             types.VectorType(types.Float(), 2))
示例#11
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文件: test_types.py 项目: Anteru/nsl
    def testIsCompatibleIntInt1(self):
        i = types.Integer()
        i1 = types.VectorType(types.Integer(), 1)

        assert types.IsCompatible(i, i1)
示例#12
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文件: test_types.py 项目: Anteru/nsl
    def testIsCompatibleFloat2Int4(self):
        f2 = types.VectorType(types.Float(), 2)
        i4 = types.VectorType(types.Integer(), 4)

        assert not types.IsCompatible(f2, i4)
示例#13
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    def _ProcessExpression(self, expr, scope):
        assert isinstance(
            expr, ast.Expression
        ), 'Expression {1} has type {0} which is not an expression type'.format(
            type(expr), expr)
        # We type-cast here so we can process access trees separately
        if isinstance(expr, ast.VariableAccessExpression):
            p = expr.GetParent()
            # Figure out the parent type
            self._ProcessExpression(p, scope)
            if isinstance(expr, ast.MemberAccessExpression):
                parentType = p.GetType()
                if parentType.IsPrimitive():
                    if parentType.IsVector() or parentType.IsScalar():
                        # We allow swizzling of vector and scalar types
                        expr.SetType(
                            ComputeSwizzleType(parentType,
                                               expr.GetMember().GetName()))
                        expr.SetSwizzle(True)
                    else:
                        Errors.ERROR_CANNOT_SWIZZLE_PRIMITIVE_TYPE.Raise()
                elif parentType.IsAggregate():
                    expr.SetType(parentType.GetMembers().GetFieldType(
                        expr.GetMember().GetName()))
                else:
                    Errors.ERROR_CANNOT_SWIZZLE_TYPE.Raise(parentType)

                expr.GetMember().SetType(expr.GetType())
            elif isinstance(expr, ast.ArrayExpression):
                self._ProcessExpression(expr.GetExpression(), scope)

                if not expr.GetExpression().GetType().IsScalar():
                    Errors.ERROR_ARRAY_ACCESS_WITH_NONSCALAR.Raise(
                        expr.GetExpression().GetType())

                parentType = p.GetType()
                nestedSize = parentType.GetSize()

                if isinstance(parentType, types.MatrixType):
                    # Array access on matrix returns a vector
                    arrayType = types.VectorType(parentType.GetComponentType(),
                                                 parentType.GetColumnCount())
                    expr.SetType(arrayType)
                elif len(nestedSize) > 1:
                    # Drop one dimension from the array
                    arrayType = types.ArrayType(parentType.GetComponentType(),
                                                nestedSize[1:])
                    expr.SetType(arrayType)
                else:
                    # We've reached the last dimension (array is 1D now), so
                    # return the element type
                    expr.SetType(p.GetType().GetComponentType())
        elif isinstance(expr, ast.PrimaryExpression):
            # Simply check the name
            expr.SetType(scope.GetFieldType(expr.GetName()))
        else:
            # Walk through all children
            for c in expr:
                self._ProcessExpression(c, scope)

            # during the walking up, we can compute the expression
            # type as well

            if isinstance(expr, ast.CallExpression):
                # As we know the parameter types now, we can finally resolve
                # overloaded functions
                expr.ResolveType(scope)
                expr.SetType(expr.function.GetReturnType())
            elif isinstance(expr, ast.BinaryExpression):
                expr.ResolveType(expr.GetLeft().GetType(),
                                 expr.GetRight().GetType())
                expr.SetType(expr.GetOperator().GetReturnType())
            elif isinstance(expr, ast.AffixExpression):
                expr.SetType(expr.children[0].GetType())

        return expr.GetType()