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annotate gamelib/lab.py @ 20:718d1ec382f7

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Deserialise lab data.
author Jeremy Thurgood <firxen@gmail.com>
date Sun, 06 May 2012 18:12:51 +0200
parents 10d3db1f1e08
children bdc6bfc34ef2
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1 # -*- test-case-name: gamelib.tests.test_lab -*-
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3 from random import random, choice
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4
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5 from gamelib import research, products
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8 class Lab(object):
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9 BASIC_RESEARCH_SUCCESS_RATE = 0.05
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10 BASIC_RESEARCH_SUCCESS_MULTIPLIER = 2
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12 def __init__(self, init_data=None):
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13 self.science = []
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14 self.new_research = research.ResearchArea.__subclasses__()
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15 self.new_products = products.Product.__subclasses__()
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16
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17 if init_data is not None:
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18 # Load stored state.
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19 self._load_data(init_data)
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20 else:
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21 # New game.
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22 self._choose_initial_science()
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23
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24 def _load_data(self, init_data):
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25 for name, points in init_data['science'].iteritems():
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26 module, cls = name.split('.')
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27 if module == 'products':
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28 science = getattr(products, cls)
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29 elif module == 'research':
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30 science = getattr(research, cls)
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31 else:
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32 raise ValueError("Unknown science type: %s" % (module,))
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33 self._gain_science(science(points))
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34
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35 def _choose_initial_science(self):
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36 # We always get all starting products.
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37 for product in self.new_products[:]:
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38 if product.STARTING_PRODUCT:
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39 self._gain_science(product())
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40
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41 # We get three random sciences with no prerequisites.
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42 new_science = []
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43 for _ in range(3):
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44 science = choice(self.find_new_research())()
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45 self._gain_science(science)
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46 new_science.append(science)
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47
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48 # Add a point to each of our sciences, and see if we get products.
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49 self.spend_points(new_science, 0)
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50
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51 def _gain_science(self, science):
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52 self.science.append(science)
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53 if isinstance(science, research.ResearchArea):
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54 self.new_research.remove(type(science))
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55 elif isinstance(science, products.Product):
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56 self.new_products.remove(type(science))
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57
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58 def spend_points(self, things, basic_research):
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59 breakthroughs = []
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60
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61 # First, allocate the points.
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62 for thing in things:
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63 assert thing in self.science
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64 assert thing.can_spend(self)
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65 thing.spend_point()
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66
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67 # Next, check for product breakthroughs and upgrades
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68 for thing in things:
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69 if isinstance(thing, research.ResearchArea):
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70 breakthroughs.extend(self.apply_area_research(thing))
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71
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72 # Finally, check for research breakthroughs.
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73 breakthroughs.extend(self.apply_basic_research(basic_research))
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74
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75 # Now that we have our breakthroughs, apply them.
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76 print breakthroughs
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77
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78 return breakthroughs
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79
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80 def _get_science(self, science_class):
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81 for science in self.science:
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82 if isinstance(science, science_class):
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83 return science
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84 return None
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85
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86 def meet_requirements(self, science_class, extra=0):
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87 total_points = 0
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88 base_points = 0
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89 for science, level in science_class.PREREQUISITES:
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90 my_science = self._get_science(science)
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91 if my_science is None:
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92 return False
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93 if my_science.points < level:
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94 return False
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95 base_points += level
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96 total_points += my_science.points
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97 return total_points - base_points >= extra
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98
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99 def find_new_products(self, research_area):
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100 available_products = []
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101 for product_class in self.new_products:
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102 if self.meet_requirements(product_class):
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103 available_products.append(product_class)
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104 return available_products
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105
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106 def find_new_research(self):
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107 available_research = []
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108 for research_class in self.new_research:
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109 if self.meet_requirements(research_class):
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110 available_research.append(research_class)
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111 return available_research
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112
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113 def apply_area_research(self, research):
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114 options = self.find_new_products(research)
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115 breakthroughs = [product for product in options
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116 if random() < product.ACQUISITION_CHANCE]
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117 if breakthroughs:
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118 breakthrough = choice(breakthroughs)()
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119 self._gain_science(breakthrough)
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120 breakthroughs = [breakthrough]
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121 return breakthroughs
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122
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123 def apply_basic_research(self, basic_research):
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124 if basic_research <= 1:
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125 return []
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126
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127 options = self.find_new_research()
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128 success_chance = self.BASIC_RESEARCH_SUCCESS_RATE * (
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129 self.BASIC_RESEARCH_SUCCESS_MULTIPLIER ** basic_research)
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130 breakthroughs = [research for research in options
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131 if random() < success_chance]
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132 if breakthroughs:
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133 breakthrough = choice(breakthroughs)(1)
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134 self._gain_science(breakthrough)
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135 breakthroughs = [breakthrough]
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136 return breakthroughs