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1
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class Decorator: |
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2
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def __new__(self, *args, **kwargs): |
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3
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self.decoree = None |
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4
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self.newargs = args |
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5
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self.newkwargs = kwargs |
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6
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self.decorators = {} |
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7
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if "decorators" in self.newkwargs: |
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8
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self.decorators = self.newargs["decorators"] |
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9
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if args: |
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10
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if isinstance(args[0], type): |
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11
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self.decoree = args[0] |
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12
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if callable(args[0]): |
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13
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if len(args) == 1 and len(kwargs) == 0: |
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14
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return args[0] |
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15
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else: |
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16
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pass |
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17
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return self |
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18
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19
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def __init__(self, *args, **kwargs): |
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20
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self.decoree = None |
|
21
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self.initargs = args |
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22
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self.initkwargs = kwargs |
|
23
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if args and callable(args[0]): |
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24
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self.decoree = args[0] |
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25
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26
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def __call__(self, *args, **kwargs): |
|
27
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if args and callable(args[0]): |
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28
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self.decoree = args[0] |
|
29
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if isinstance(self.decoree, type): |
|
30
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return self.create_wrapping_class(self.decoree, self.decorators) |
|
31
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return self.decoree |
|
32
|
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elif self.decoree: |
|
33
|
|
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if isinstance(self.decoree, type): |
|
34
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return self.create_wrapping_class(args[0], self.decorators)(*args, **kwargs) |
|
35
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return self.decoree(*args, **kwargs) |
|
36
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|
37
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@staticmethod |
|
38
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def create_wrapping_class(cls, decorators): |
|
39
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from six import with_metaclass |
|
40
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|
|
41
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|
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class MetaNewClass(type): |
|
42
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def __repr__(self): |
|
43
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return repr(cls) |
|
44
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|
|
|
|
45
|
|
|
class NewClass(with_metaclass(MetaNewClass, cls)): |
|
46
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def __init__(self, *args, **kwargs): |
|
47
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|
self.__instance = cls(*args, **kwargs) |
|
48
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"This is the overwritten class" |
|
49
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|
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def __getattribute__(self, attr_name): |
|
50
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|
|
if attr_name == "__class__": |
|
51
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|
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return cls |
|
52
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|
|
obj = super(NewClass, self).__getattribute__(attr_name) |
|
53
|
|
|
if hasattr(obj, '__call__'): |
|
54
|
|
|
if attr_name in decorators: |
|
55
|
|
|
for decorator in decorators: |
|
56
|
|
|
obj = decorator(obj) |
|
57
|
|
|
elif "*" in decorators: |
|
58
|
|
|
for decorator in decorators: |
|
59
|
|
|
obj = decorator(obj) |
|
60
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|
|
return obj |
|
61
|
|
|
return obj |
|
62
|
|
|
|
|
63
|
|
|
def __repr__(self): |
|
64
|
|
|
return repr(self.__instance) |
|
65
|
|
|
return NewClass |
|
66
|
|
|
|
|
67
|
|
|
|
|
68
|
|
|
def lcs(a, b): |
|
69
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|
|
lengths = [[0 for j in range(len(b)+1)] for i in range(len(a)+1)] |
|
70
|
|
|
# row 0 and column 0 are initialized to 0 already |
|
71
|
|
|
for i, x in enumerate(a): |
|
72
|
|
|
for j, y in enumerate(b): |
|
73
|
|
|
if x == y: |
|
74
|
|
|
lengths[i+1][j+1] = lengths[i][j] + 1 |
|
75
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|
|
else: |
|
76
|
|
|
lengths[i+1][j+1] = max(lengths[i+1][j], lengths[i][j+1]) |
|
77
|
|
|
# read the substring out from the matrix |
|
78
|
|
|
result = "" |
|
79
|
|
|
x, y = len(a), len(b) |
|
80
|
|
|
while x != 0 and y != 0: |
|
81
|
|
|
if lengths[x][y] == lengths[x-1][y]: |
|
82
|
|
|
x -= 1 |
|
83
|
|
|
elif lengths[x][y] == lengths[x][y-1]: |
|
84
|
|
|
y -= 1 |
|
85
|
|
|
else: |
|
86
|
|
|
assert a[x-1] == b[y-1] |
|
87
|
|
|
result = a[x-1] + result |
|
88
|
|
|
x -= 1 |
|
89
|
|
|
y -= 1 |
|
90
|
|
|
return result |
|
91
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j340m3 /
python-msquaredc
