from __future__ import absolute_import, print_function

import ctypes

import numpy as np

from numba import (float32, float64, int16, int32, boolean, deferred_type,
                   optional)
from numba import njit, typeof
from numba import unittest_support as unittest
from numba import jitclass
from numba.utils import OrderedDict
from .support import TestCase, MemoryLeakMixin, tag


class TestJitClass(TestCase, MemoryLeakMixin):

    def _check_spec(self, spec):
        @jitclass(spec)
        class Test(object):
            def __init__(self):
                pass

        clsty = Test.class_type.instance_type
        names = list(clsty.struct.keys())
        values = list(clsty.struct.values())
        self.assertEqual(names[0], 'x')
        self.assertEqual(names[1], 'y')
        self.assertEqual(values[0], int32)
        self.assertEqual(values[1], float32)

    def test_ordereddict_spec(self):
        spec = OrderedDict()
        spec['x'] = int32
        spec['y'] = float32
        self._check_spec(spec)

    def test_list_spec(self):
        spec = [('x', int32),
                ('y', float32)]
        self._check_spec(spec)

    def _make_Float2AndArray(self):
        spec = OrderedDict()
        spec['x'] = float32
        spec['y'] = float32
        spec['arr'] = float32[:]

        @jitclass(spec)
        class Float2AndArray(object):
            def __init__(self, x, y, arr):
                self.x = x
                self.y = y
                self.arr = arr

            def add(self, val):
                self.x += val
                self.y += val
                return val

        return Float2AndArray

    def _make_Vector2(self):
        spec = OrderedDict()
        spec['x'] = int32
        spec['y'] = int32

        @jitclass(spec)
        class Vector2(object):
            def __init__(self, x, y):
                self.x = x
                self.y = y

        return Vector2

    @tag('important')
    def test_jit_class_1(self):
        Float2AndArray = self._make_Float2AndArray()
        Vector2 = self._make_Vector2()

        @njit
        def bar(obj):
            return obj.x + obj.y

        @njit
        def foo(a):
            obj = Float2AndArray(1, 2, a)
            obj.add(123)

            vec = Vector2(3, 4)
            return bar(obj), bar(vec), obj.arr

        inp = np.ones(10, dtype=np.float32)
        a, b, c = foo(inp)
        self.assertEqual(a, 123 + 1 + 123 + 2)
        self.assertEqual(b, 3 + 4)
        self.assertPreciseEqual(c, inp)

    @tag('important')
    def test_jitclass_usage_from_python(self):
        Float2AndArray = self._make_Float2AndArray()

        @njit
        def identity(obj):
            return obj

        @njit
        def retrieve_attributes(obj):
            return obj.x, obj.y, obj.arr

        arr = np.arange(10, dtype=np.float32)
        obj = Float2AndArray(1, 2, arr)
        self.assertEqual(obj._meminfo.refcount, 1)
        self.assertEqual(obj._meminfo.data, obj._dataptr)
        self.assertEqual(obj._numba_type_.class_type,
                         Float2AndArray.class_type)
        # Use jit class instance in numba
        other = identity(obj)
        self.assertEqual(obj._meminfo.refcount, 2)
        self.assertEqual(other._meminfo.refcount, 2)
        self.assertEqual(other._meminfo.data, other._dataptr)
        self.assertEqual(other._meminfo.data, obj._meminfo.data)

        # Check dtor
        del other
        self.assertEqual(obj._meminfo.refcount, 1)

        # Check attributes
        out_x, out_y, out_arr = retrieve_attributes(obj)
        self.assertEqual(out_x, 1)
        self.assertEqual(out_y, 2)
        self.assertIs(out_arr, arr)

        # Access attributes from python
        self.assertEqual(obj.x, 1)
        self.assertEqual(obj.y, 2)
        self.assertIs(obj.arr, arr)

        # Access methods from python
        self.assertEqual(obj.add(123), 123)
        self.assertEqual(obj.x, 1 + 123)
        self.assertEqual(obj.y, 2 + 123)

        # Setter from python
        obj.x = 333
        obj.y = 444
        obj.arr = newarr = np.arange(5, dtype=np.float32)
        self.assertEqual(obj.x, 333)
        self.assertEqual(obj.y, 444)
        self.assertIs(obj.arr, newarr)

    def test_jitclass_datalayout(self):
        spec = OrderedDict()
        # Boolean has different layout as value vs data
        spec['val'] = boolean

        @jitclass(spec)
        class Foo(object):
            def __init__(self, val):
                self.val = val

        self.assertTrue(Foo(True).val)
        self.assertFalse(Foo(False).val)

    @tag('important')
    def test_deferred_type(self):
        node_type = deferred_type()

        spec = OrderedDict()
        spec['data'] = float32
        spec['next'] = optional(node_type)

        @njit
        def get_data(node):
            return node.data

        @jitclass(spec)
        class LinkedNode(object):
            def __init__(self, data, next):
                self.data = data
                self.next = next

            def get_next_data(self):
                # use deferred type as argument
                return get_data(self.next)

        node_type.define(LinkedNode.class_type.instance_type)

        first = LinkedNode(123, None)
        self.assertEqual(first.data, 123)
        self.assertIsNone(first.next)

        second = LinkedNode(321, first)
        self.assertEqual(first._meminfo.refcount, 2)
        self.assertEqual(second.next.data, first.data)
        self.assertEqual(first._meminfo.refcount, 2)
        self.assertEqual(second._meminfo.refcount, 1)

        # Test using deferred type as argument
        first_val = second.get_next_data()
        self.assertEqual(first_val, first.data)

        # Check ownership
        self.assertEqual(first._meminfo.refcount, 2)
        del second
        self.assertEqual(first._meminfo.refcount, 1)

    def test_c_structure(self):
        spec = OrderedDict()
        spec['a'] = int32
        spec['b'] = int16
        spec['c'] = float64

        @jitclass(spec)
        class Struct(object):
            def __init__(self, a, b, c):
                self.a = a
                self.b = b
                self.c = c

        st = Struct(0xabcd, 0xef, 3.1415)

        class CStruct(ctypes.Structure):
            _fields_ = [
                ('a', ctypes.c_int32),
                ('b', ctypes.c_int16),
                ('c', ctypes.c_double),
            ]

        ptr = ctypes.c_void_p(st._dataptr)
        cstruct = ctypes.cast(ptr, ctypes.POINTER(CStruct))[0]
        self.assertEqual(cstruct.a, st.a)
        self.assertEqual(cstruct.b, st.b)
        self.assertEqual(cstruct.c, st.c)

    def test_isinstance(self):
        Vector2 = self._make_Vector2()
        vec = Vector2(1, 2)
        self.assertIsInstance(vec, Vector2)

    def test_subclassing(self):
        Vector2 = self._make_Vector2()
        with self.assertRaises(TypeError) as raises:
            class SubV(Vector2):
                pass
        self.assertEqual(str(raises.exception),
                         "cannot subclass from a jitclass")

    def test_base_class(self):
        class Base(object):
            def what(self):
                return self.attr

        @jitclass([('attr', int32)])
        class Test(Base):
            def __init__(self, attr):
                self.attr = attr

        obj = Test(123)
        self.assertEqual(obj.what(), 123)

    def test_globals(self):

        class Mine(object):
            constant = 123

            def __init__(self):
                pass

        with self.assertRaises(TypeError) as raises:
            jitclass(())(Mine)

        self.assertEqual(str(raises.exception),
                         "class members are not yet supported: constant")

    @tag('important')
    def test_user_getter_setter(self):
        @jitclass([('attr', int32)])
        class Foo(object):
            def __init__(self, attr):
                self.attr = attr

            @property
            def value(self):
                return self.attr + 1

            @value.setter
            def value(self, val):
                self.attr = val - 1

        foo = Foo(123)
        self.assertEqual(foo.attr, 123)
        # Getter
        self.assertEqual(foo.value, 123 + 1)
        # Setter
        foo.value = 789
        self.assertEqual(foo.attr, 789 - 1)
        self.assertEqual(foo.value, 789)

        # Test nopython mode usage of getter and setter
        @njit
        def bar(foo, val):
            a = foo.value
            foo.value = val
            b = foo.value
            c = foo.attr
            return a, b, c

        a, b, c = bar(foo, 567)
        self.assertEqual(a, 789)
        self.assertEqual(b, 567)
        self.assertEqual(c, 567 - 1)

    def test_user_deleter_error(self):
        class Foo(object):
            def __init__(self):
                pass

            @property
            def value(self):
                return 1

            @value.deleter
            def value(self):
                pass

        with self.assertRaises(TypeError) as raises:
            jitclass([])(Foo)
        self.assertEqual(str(raises.exception),
                         "deleter is not supported: value")

    def test_name_shadowing_error(self):
        class Foo(object):
            def __init__(self):
                pass

            @property
            def my_property(self):
                pass

            def my_method(self):
                pass

        with self.assertRaises(NameError) as raises:
            jitclass([('my_property', int32)])(Foo)
        self.assertEqual(str(raises.exception), 'name shadowing: my_property')

        with self.assertRaises(NameError) as raises:
            jitclass([('my_method', int32)])(Foo)
        self.assertEqual(str(raises.exception), 'name shadowing: my_method')

    def test_distinct_classes(self):
        # Different classes with the same names shouldn't confuse the compiler
        @jitclass([('x', int32)])
        class Foo(object):
            def __init__(self, x):
                self.x = x + 2

            def run(self):
                return self.x + 1

        FirstFoo = Foo

        @jitclass([('x', int32)])
        class Foo(object):
            def __init__(self, x):
                self.x = x - 2

            def run(self):
                return self.x - 1

        SecondFoo = Foo
        foo = FirstFoo(5)
        self.assertEqual(foo.x, 7)
        self.assertEqual(foo.run(), 8)
        foo = SecondFoo(5)
        self.assertEqual(foo.x, 3)
        self.assertEqual(foo.run(), 2)

    def test_parameterized(self):
        class MyClass(object):
            def __init__(self, value):
                self.value = value

        def create_my_class(value):
            cls = jitclass([('value', typeof(value))])(MyClass)
            return cls(value)

        a = create_my_class(123)
        self.assertEqual(a.value, 123)

        b = create_my_class(12.3)
        self.assertEqual(b.value, 12.3)

        c = create_my_class(np.array([123]))
        np.testing.assert_equal(c.value, [123])

        d = create_my_class(np.array([12.3]))
        np.testing.assert_equal(d.value, [12.3])


if __name__ == '__main__':
    unittest.main()

from __future__ import absolute_import, print_function

import ctypes

import numpy as np

from numba import (float32, float64, int16, int32, boolean, deferred_type,
                   optional)
from numba import njit, typeof
from numba import unittest_support as unittest
from numba import jitclass
from numba.utils import OrderedDict
from .support import TestCase, MemoryLeakMixin, tag


class TestJitClass(TestCase, MemoryLeakMixin):

    def _check_spec(self, spec):
        @jitclass(spec)
        class Test(object):
            def __init__(self):
                pass

        clsty = Test.class_type.instance_type
        names = list(clsty.struct.keys())
        values = list(clsty.struct.values())
        self.assertEqual(names[0], 'x')
        self.assertEqual(names[1], 'y')
        self.assertEqual(values[0], int32)
        self.assertEqual(values[1], float32)

    def test_ordereddict_spec(self):
        spec = OrderedDict()
        spec['x'] = int32
        spec['y'] = float32
        self._check_spec(spec)

    def test_list_spec(self):
        spec = [('x', int32),
                ('y', float32)]
        self._check_spec(spec)

    def _make_Float2AndArray(self):
        spec = OrderedDict()
        spec['x'] = float32
        spec['y'] = float32
        spec['arr'] = float32[:]

        @jitclass(spec)
        class Float2AndArray(object):
            def __init__(self, x, y, arr):
                self.x = x
                self.y = y
                self.arr = arr

            def add(self, val):
                self.x += val
                self.y += val
                return val

        return Float2AndArray

    def _make_Vector2(self):
        spec = OrderedDict()
        spec['x'] = int32
        spec['y'] = int32

        @jitclass(spec)
        class Vector2(object):
            def __init__(self, x, y):
                self.x = x
                self.y = y

        return Vector2

    @tag('important')
    def test_jit_class_1(self):
        Float2AndArray = self._make_Float2AndArray()
        Vector2 = self._make_Vector2()

        @njit
        def bar(obj):
            return obj.x + obj.y

        @njit
        def foo(a):
            obj = Float2AndArray(1, 2, a)
            obj.add(123)

            vec = Vector2(3, 4)
            return bar(obj), bar(vec), obj.arr

        inp = np.ones(10, dtype=np.float32)
        a, b, c = foo(inp)
        self.assertEqual(a, 123 + 1 + 123 + 2)
        self.assertEqual(b, 3 + 4)
        self.assertPreciseEqual(c, inp)

    @tag('important')
    def test_jitclass_usage_from_python(self):
        Float2AndArray = self._make_Float2AndArray()

        @njit
        def identity(obj):
            return obj

        @njit
        def retrieve_attributes(obj):
            return obj.x, obj.y, obj.arr

        arr = np.arange(10, dtype=np.float32)
        obj = Float2AndArray(1, 2, arr)
        self.assertEqual(obj._meminfo.refcount, 1)
        self.assertEqual(obj._meminfo.data, obj._dataptr)
        self.assertEqual(obj._numba_type_.class_type,
                         Float2AndArray.class_type)
        # Use jit class instance in numba
        other = identity(obj)
        self.assertEqual(obj._meminfo.refcount, 2)
        self.assertEqual(other._meminfo.refcount, 2)
        self.assertEqual(other._meminfo.data, other._dataptr)
        self.assertEqual(other._meminfo.data, obj._meminfo.data)

        # Check dtor
        del other
        self.assertEqual(obj._meminfo.refcount, 1)

        # Check attributes
        out_x, out_y, out_arr = retrieve_attributes(obj)
        self.assertEqual(out_x, 1)
        self.assertEqual(out_y, 2)
        self.assertIs(out_arr, arr)

        # Access attributes from python
        self.assertEqual(obj.x, 1)
        self.assertEqual(obj.y, 2)
        self.assertIs(obj.arr, arr)

        # Access methods from python
        self.assertEqual(obj.add(123), 123)
        self.assertEqual(obj.x, 1 + 123)
        self.assertEqual(obj.y, 2 + 123)

        # Setter from python
        obj.x = 333
        obj.y = 444
        obj.arr = newarr = np.arange(5, dtype=np.float32)
        self.assertEqual(obj.x, 333)
        self.assertEqual(obj.y, 444)
        self.assertIs(obj.arr, newarr)

    def test_jitclass_datalayout(self):
        spec = OrderedDict()
        # Boolean has different layout as value vs data
        spec['val'] = boolean

        @jitclass(spec)
        class Foo(object):
            def __init__(self, val):
                self.val = val

        self.assertTrue(Foo(True).val)
        self.assertFalse(Foo(False).val)

    @tag('important')
    def test_deferred_type(self):
        node_type = deferred_type()

        spec = OrderedDict()
        spec['data'] = float32
        spec['next'] = optional(node_type)

        @njit
        def get_data(node):
            return node.data

        @jitclass(spec)
        class LinkedNode(object):
            def __init__(self, data, next):
                self.data = data
                self.next = next

            def get_next_data(self):
                # use deferred type as argument
                return get_data(self.next)

        node_type.define(LinkedNode.class_type.instance_type)

        first = LinkedNode(123, None)
        self.assertEqual(first.data, 123)
        self.assertIsNone(first.next)

        second = LinkedNode(321, first)
        self.assertEqual(first._meminfo.refcount, 2)
        self.assertEqual(second.next.data, first.data)
        self.assertEqual(first._meminfo.refcount, 2)
        self.assertEqual(second._meminfo.refcount, 1)

        # Test using deferred type as argument
        first_val = second.get_next_data()
        self.assertEqual(first_val, first.data)

        # Check ownership
        self.assertEqual(first._meminfo.refcount, 2)
        del second
        self.assertEqual(first._meminfo.refcount, 1)

    def test_c_structure(self):
        spec = OrderedDict()
        spec['a'] = int32
        spec['b'] = int16
        spec['c'] = float64

        @jitclass(spec)
        class Struct(object):
            def __init__(self, a, b, c):
                self.a = a
                self.b = b
                self.c = c

        st = Struct(0xabcd, 0xef, 3.1415)

        class CStruct(ctypes.Structure):
            _fields_ = [
                ('a', ctypes.c_int32),
                ('b', ctypes.c_int16),
                ('c', ctypes.c_double),
            ]

        ptr = ctypes.c_void_p(st._dataptr)
        cstruct = ctypes.cast(ptr, ctypes.POINTER(CStruct))[0]
        self.assertEqual(cstruct.a, st.a)
        self.assertEqual(cstruct.b, st.b)
        self.assertEqual(cstruct.c, st.c)

    def test_isinstance(self):
        Vector2 = self._make_Vector2()
        vec = Vector2(1, 2)
        self.assertIsInstance(vec, Vector2)

    def test_subclassing(self):
        Vector2 = self._make_Vector2()
        with self.assertRaises(TypeError) as raises:
            class SubV(Vector2):
                pass
        self.assertEqual(str(raises.exception),
                         "cannot subclass from a jitclass")

    def test_base_class(self):
        class Base(object):
            def what(self):
                return self.attr

        @jitclass([('attr', int32)])
        class Test(Base):
            def __init__(self, attr):
                self.attr = attr

        obj = Test(123)
        self.assertEqual(obj.what(), 123)

    def test_globals(self):

        class Mine(object):
            constant = 123

            def __init__(self):
                pass

        with self.assertRaises(TypeError) as raises:
            jitclass(())(Mine)

        self.assertEqual(str(raises.exception),
                         "class members are not yet supported: constant")

    @tag('important')
    def test_user_getter_setter(self):
        @jitclass([('attr', int32)])
        class Foo(object):
            def __init__(self, attr):
                self.attr = attr

            @property
            def value(self):
                return self.attr + 1

            @value.setter
            def value(self, val):
                self.attr = val - 1

        foo = Foo(123)
        self.assertEqual(foo.attr, 123)
        # Getter
        self.assertEqual(foo.value, 123 + 1)
        # Setter
        foo.value = 789
        self.assertEqual(foo.attr, 789 - 1)
        self.assertEqual(foo.value, 789)

        # Test nopython mode usage of getter and setter
        @njit
        def bar(foo, val):
            a = foo.value
            foo.value = val
            b = foo.value
            c = foo.attr
            return a, b, c

        a, b, c = bar(foo, 567)
        self.assertEqual(a, 789)
        self.assertEqual(b, 567)
        self.assertEqual(c, 567 - 1)

    def test_user_deleter_error(self):
        class Foo(object):
            def __init__(self):
                pass

            @property
            def value(self):
                return 1

            @value.deleter
            def value(self):
                pass

        with self.assertRaises(TypeError) as raises:
            jitclass([])(Foo)
        self.assertEqual(str(raises.exception),
                         "deleter is not supported: value")

    def test_name_shadowing_error(self):
        class Foo(object):
            def __init__(self):
                pass

            @property
            def my_property(self):
                pass

            def my_method(self):
                pass

        with self.assertRaises(NameError) as raises:
            jitclass([('my_property', int32)])(Foo)
        self.assertEqual(str(raises.exception), 'name shadowing: my_property')

        with self.assertRaises(NameError) as raises:
            jitclass([('my_method', int32)])(Foo)
        self.assertEqual(str(raises.exception), 'name shadowing: my_method')

    def test_distinct_classes(self):
        # Different classes with the same names shouldn't confuse the compiler
        @jitclass([('x', int32)])
        class Foo(object):
            def __init__(self, x):
                self.x = x + 2

            def run(self):
                return self.x + 1

        FirstFoo = Foo

        @jitclass([('x', int32)])
        class Foo(object):
            def __init__(self, x):
                self.x = x - 2

            def run(self):
                return self.x - 1

        SecondFoo = Foo
        foo = FirstFoo(5)
        self.assertEqual(foo.x, 7)
        self.assertEqual(foo.run(), 8)
        foo = SecondFoo(5)
        self.assertEqual(foo.x, 3)
        self.assertEqual(foo.run(), 2)

    def test_parameterized(self):
        class MyClass(object):
            def __init__(self, value):
                self.value = value

        def create_my_class(value):
            cls = jitclass([('value', typeof(value))])(MyClass)
            return cls(value)

        a = create_my_class(123)
        self.assertEqual(a.value, 123)

        b = create_my_class(12.3)
        self.assertEqual(b.value, 12.3)

        c = create_my_class(np.array([123]))
        np.testing.assert_equal(c.value, [123])

        d = create_my_class(np.array([12.3]))
        np.testing.assert_equal(d.value, [12.3])


if __name__ == '__main__':
    unittest.main()

# Use jit class instance in numba # Check dtor # Check attributes # Access attributes from python # Access methods from python # Setter from python # Boolean has different layout as value vs data # use deferred type as argument # Test using deferred type as argument # Check ownership # Getter # Setter # Test nopython mode usage of getter and setter # Different classes with the same names shouldn't confuse the compiler