Exemple #1
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    def compute(self, env: Environment):
        e1 = env.find_object('e1')
        e2 = env.find_object('e2')

        if isinstance(e2, EmptyParamObj):
            if e1.get_type().name not in ['double', 'logical', 'integer']:
                raise errors.InvalidArgTypeInArgs('x', '- x')

            res = []
            for item in e1.items:
                res.append(
                    atomic_subtract(Atomic(False, types.LogicalType()),
                                    item.value))

            res = [VectorItem(None, el) for el in res]

            ret = VectorObj(res)
            return ret

        if e1.get_type().name not in ['double', 'logical', 'integer']:
            raise errors.InvalidArgTypeInArgs('x', 'x - y')
        if e2.get_type().name not in ['double', 'logical', 'integer']:
            raise errors.InvalidArgTypeInArgs('y', 'x - y')

        as_integer = False

        if e1.get_type().name == 'integer' and e2.get_type().name == 'integer':
            as_integer = True
        elif e1.get_type().name == 'integer' and e2.get_type(
        ).name == 'logical':
            as_integer = True
        elif e1.get_type().name == 'logical' and e2.get_type(
        ).name == 'integer':
            as_integer = True

        res = perform_op_on_vector_or_atomic(
            e1, e2,
            lambda l, r: cast_atomic(atomic_subtract(l, r), 'integer'
                                     if as_integer else 'double'))

        res = [VectorItem(None, el) for el in res]

        if len(res) == 0:
            t = get_more_important_vector_type(e1.get_type(), e2.get_type())
            return VectorObj([], t)

        ret = VectorObj.create(res)
        return ret
Exemple #2
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    def compute(self, params: List[Param], env: Environment):
        args = self.arrange_args(params)
        e1: Param = args['e1']
        e2: Param = args['e2']

        if e1.value.get_type().name not in ['double', 'logical', 'integer']:
            raise errors.InvalidArgTypeInArgs('x', 'x ** y')
        if e2.value.get_type().name not in ['double', 'logical', 'integer']:
            raise errors.InvalidArgTypeInArgs('y', 'x ** y')
        res = []

        as_integer = False

        if e1.value.get_type().name == 'integer' and e2.value.get_type().name == 'integer':
            as_integer = True
        elif e1.value.get_type().name == 'integer' and e2.value.get_type().name == 'logical':
            as_integer = True
        elif e1.value.get_type().name == 'logical' and e2.value.get_type().name == 'integer':
            as_integer = True

        for l, r in concat_vectors(e1.value.items, e2.value.items):
            res.append(cast_atomic(atomic_mod(l.value, r.value), 'integer' if as_integer else 'double'))

        res = [VectorItem(None, el) for el in res]

        ret = VectorObj(res)
        return ret
Exemple #3
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    def compute(self, env: Environment):
        e1 = env.find_object('e1')
        e2 = env.find_object('e2')

        if e1.get_type().name not in ['double', 'logical', 'integer']:
            raise errors.InvalidArgTypeInArgs('x', 'x ** y')
        if e2.get_type().name not in ['double', 'logical', 'integer']:
            raise errors.InvalidArgTypeInArgs('y', 'x ** y')

        as_integer = False

        if e1.get_type().name == 'integer' and e2.get_type().name == 'integer':
            as_integer = True
        elif e1.get_type().name == 'integer' and e2.get_type(
        ).name == 'logical':
            as_integer = True
        elif e1.get_type().name == 'logical' and e2.get_type(
        ).name == 'integer':
            as_integer = True

        res = perform_op_on_vector_or_atomic(
            e1, e2,
            lambda l, r: cast_atomic(atomic_mod(l, r), 'integer'
                                     if as_integer else 'double'))

        res = [VectorItem(None, el) for el in res]

        if len(res) == 0:
            t = get_more_important_vector_type(e1.get_type(), e2.get_type())
            return VectorObj([], t)

        ret = VectorObj.create(res)
        return ret
Exemple #4
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    def compute(self, env: Environment):
        ln: VectorObj = env.find_object('length')
        if ln.get_type().name not in ['double', 'integer']:
            raise errors.InvalidArg('length')

        if len(ln.items) != 1:
            raise errors.InvalidArg('length')

        val = ln.items[0][1]

        if val.is_inf:
            raise errors.R_RuntimeError('vector size cannot be infinite')
        elif val.is_na:
            raise errors.InvalidArg('length')
        elif val.is_nan:
            raise errors.R_RuntimeError('vector size cannot be NA/NaN')

        count = val.value

        items = [
            VectorItem(None, Atomic(False, types.LogicalType()))
            for _ in range(int(count) * (-1 if val.is_neg else 1))
        ]

        ret = VectorObj(items, types.LogicalType())
        return ret
Exemple #5
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 def compute(self, params: List[Param], env: Environment):
     args = self.arrange_args(params)
     e1: Param = args['x']
     e2: Param = args['y']
     if e1.value.get_type().name not in ['double', 'logical', 'integer']:
         raise errors.InvalidArgTypeInArgs('x', 'x | y')
     if e2.value.get_type().name not in ['double', 'logical', 'integer']:
         raise errors.InvalidArgTypeInArgs('y', 'x | y')
     res = VectorItem(None, atomic_or(e1.value.items[0].value, e2.value.items[0].value))
     ret = VectorObj([res])
     return ret
Exemple #6
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    def compute(self, params: List[Param], env: Environment):
        args = self.arrange_args(params)
        e1: Param = args['x']
        if e1.value.get_type().name not in ['double', 'logical', 'integer']:
            raise errors.InvalidArgType()
        res = []
        for item in e1.value.items:
            res.append(atomic_not(item.value))

        res = [VectorItem(None, el) for el in res]

        ret = VectorObj(res)
        return ret
Exemple #7
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    def compute(self, params: List[Param], env: Environment):
        args = self.arrange_args(params)
        e1: Param = args['x']
        e2: Param = args['y']
        if e1.value.get_type().name not in ['double', 'logical', 'integer']:
            raise errors.InvalidArgTypeInArgs('x', 'x || y')
        if e2.value.get_type().name not in ['double', 'logical', 'integer']:
            raise errors.InvalidArgTypeInArgs('y', 'x || y')
        res = []
        for l, r in concat_vectors(e1.value.items, e2.value.items):
            res.append(atomic_or(l.value, r.value))

        res = [VectorItem(None, el) for el in res]

        ret = VectorObj(res)
        return ret
Exemple #8
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    def compute(self, env: Environment):
        e1 = env.find_object('x')
        if e1.get_type().name not in ['double', 'logical', 'integer']:
            raise errors.InvalidArgType()
        res = []
        if isinstance(e1, VectorObj):
            if len(e1.items) == 0:
                return VectorObj([], type(e1.get_type())())

            for item in e1.items:
                res.append(atomic_not(item[1]))
        else:
            res.append(atomic_not(e1))

        res = [VectorItem(None, el) for el in res]

        ret = VectorObj.create(res)
        return ret
Exemple #9
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    def compute(self, params: List[Param], env: Environment):
        args = self.arrange_args(params)
        e1: Param = args['x']
        e2: Param = args['y']
        if e1.value.get_type().name not in ['double', 'logical', 'integer']:
            raise errors.InvalidArgTypeInArgs('x', 'x && y')
        if e2.value.get_type().name not in ['double', 'logical', 'integer']:
            raise errors.InvalidArgTypeInArgs('y', 'x && y')
        res = []

        try:
            for l, r in concat_vectors(e1.value.items, e2.value.items):
                res.append(atomic_and(l.value, r.value))
        except UnsupportedVectorType as e:
            raise errors.InvalidArgTypeInArgs('x' if e.operand_index == 0 else 'y', 'x && y')

        res = [VectorItem(None, el) for el in res]

        ret = VectorObj(res)
        return ret