Mercurial > eagle-eye
annotate pyikriam/utils.py @ 330:484aaddeef66
fixed the order of armies
author | "Rex Tsai <chihchun@kalug.linux.org.tw>" |
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date | Thu, 12 Feb 2009 01:50:52 +0800 |
parents | 7551342718b6 |
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rev | line source |
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Refactory pyikriam with patterns.
Thinker K.F. Li <thinker@branda.to>
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1 ## \brief decorator is a class decorate another of another object. |
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2 # |
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3 # Access of attributes/methods that can not be found in an instance |
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4 # of a class of this meta-class, decorator, are delegated to the backend |
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5 # of the instance. |
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6 # |
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7 # A backend object always passed as first parameter when |
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8 # instantiate an instance of a class with decorator as meta-class. |
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9 # For example, |
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10 # \code |
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11 # class foo(object): |
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12 # __metaclass__ = decorator |
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13 # |
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14 # backend.data = 3 |
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15 # obj = foo(backend) |
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16 # print obj.data |
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17 # backend.data = 4 |
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18 # print obj.data |
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19 # \endcode |
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20 # it print out 3 and 4 respectively. |
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21 # |
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22 class decorator(type): |
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23 def __init__(clz, name, base, dict): |
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24 super(decorator, clz).__init__(name, base, dict) |
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25 clz.__getattr__ = decorator.__dele_getattr |
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26 pass |
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27 |
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28 @staticmethod |
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29 def set_backend(obj, backend): |
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30 obj.__backend = backend |
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31 pass |
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32 |
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33 @staticmethod |
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34 def __dele_getattr(obj, name): |
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35 return getattr(obj.__backend, name) |
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36 pass |
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37 |
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38 |
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39 ## \brief Decorator to make functions or methods dynamic programming. |
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40 # |
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41 # dyna_prog result of functions or methods with their arguments as key. |
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42 # It supposes result of a function always the same if the same arguments |
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43 # are passed. It cache result of cached function to avoid really calling |
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44 # function every time. |
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45 class dyna_prog(object): |
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46 class functor(object): |
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47 def __init__(self, instance, method): |
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48 self._method = method |
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49 self._instance = instance |
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50 self._cache = {} |
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51 pass |
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52 |
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53 def __call__(self, *args): |
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54 try: |
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55 return self._cache[args] |
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56 except KeyError: |
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57 pass |
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58 instance = self._instance |
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59 result = self._method(instance, *args) |
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60 return self._cache.setdefault(args, result) |
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61 |
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62 def clear(self): |
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63 self._cache.clear() |
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64 pass |
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65 |
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66 def __init__(self, method): |
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67 super(dyna_prog, self).__init__() |
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68 self._method = method |
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69 self._functors = {} |
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70 pass |
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71 |
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72 def __get__(self, instance, owner): |
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73 try: |
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74 return self._functors[instance] |
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75 except KeyError: |
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76 pass |
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77 functor_o = dyna_prog.functor(instance, self._method) |
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78 return self._functors.setdefault(instance, functor_o) |
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79 pass |
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80 |