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annotate gamelib/lab.py @ 47:3e3bed2ce248

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Better science saving.
author Jeremy Thurgood <firxen@gmail.com>
date Mon, 07 May 2012 21:10:25 +0200
parents d3d277a42ac6
children 373c57ab4140
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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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6 from gamelib.game_base import get_subclasses
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8
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9 class Lab(object):
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10 BASIC_RESEARCH_SUCCESS_RATE = 0.05
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11 BASIC_RESEARCH_SUCCESS_MULTIPLIER = 2
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13 def __init__(self, init_data=None):
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14 self.science = []
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15 self.new_research = get_subclasses(research.ResearchArea)
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16 self.new_products = get_subclasses(products.Product)
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18 if init_data is not None:
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19 # Load stored state.
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20 self._load_data(init_data)
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21 else:
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22 # New game.
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23 self._choose_initial_science()
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24
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25 def _load_data(self, init_data):
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26 sciences = init_data['science'].copy()
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27 for science in self.new_products + self.new_research:
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28 # Check if this science is one we should know.
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29 points = sciences.pop(science.save_name(), None)
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30 if points is not None:
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31 # It is! Learn it.
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32 self._gain_science(science(points))
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33 if sciences:
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34 # We're supposed to know an unknowable thing. :-(
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35 raise ValueError("Unknown science: %s" % (sciences.keys(),))
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36
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37 def save_data(self):
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38 return {'science': dict(s.save_data() for s in self.science)}
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39
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40 def _choose_initial_science(self):
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41 # We always get all starting products.
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42 for product in self.new_products[:]:
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43 if product.STARTING_PRODUCT:
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44 self._gain_science(product())
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45
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46 # We get three random sciences with no prerequisites.
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47 new_science = []
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48 for _ in range(3):
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49 science = choice(self.find_new_research())()
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50 self._gain_science(science)
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51 new_science.append(science)
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52
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53 # Add a point to each of our sciences, and see if we get products.
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54 self.spend_points(new_science, 0)
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55
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56 def _gain_science(self, science):
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57 self.science.append(science)
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58 if isinstance(science, research.ResearchArea):
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59 self.new_research.remove(type(science))
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60 elif isinstance(science, products.Product):
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61 self.new_products.remove(type(science))
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62
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63 def spend_points(self, things, basic_research):
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64 breakthroughs = []
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65
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66 # First, allocate the points.
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67 for thing in things:
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68 assert thing in self.science
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69 assert thing.can_spend(self)
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70 thing.spend_point()
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71
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72 # Next, check for product breakthroughs and upgrades
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73 for thing in things:
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74 if isinstance(thing, research.ResearchArea):
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75 breakthroughs.extend(self.apply_area_research(thing))
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76
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77 # Finally, check for research breakthroughs.
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78 breakthroughs.extend(self.apply_basic_research(basic_research))
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79
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80 return breakthroughs
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81
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82 def _get_science(self, science_class):
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83 for science in self.science:
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84 if isinstance(science, science_class):
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85 return science
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86 return None
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87
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88 def meet_requirements(self, science_class, extra=0):
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89 total_points = 0
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90 base_points = 0
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91 for science, level in science_class.PREREQUISITES:
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92 my_science = self._get_science(science)
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93 if my_science is None:
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94 return False
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95 if my_science.points < level:
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96 return False
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97 base_points += level
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98 total_points += my_science.points
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99 return total_points - base_points >= extra
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100
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101 def find_new_products(self):
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102 available_products = []
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103 for product_class in self.new_products:
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104 if self.meet_requirements(product_class):
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105 available_products.append(product_class)
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106 return available_products
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107
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108 def find_new_research(self):
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109 available_research = []
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110 for research_class in self.new_research:
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111 if self.meet_requirements(research_class):
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112 available_research.append(research_class)
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113 return available_research
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114
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115 def apply_area_research(self, research):
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116 options = [product for product in self.find_new_products()
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117 if type(research) in [p[0] for p in product.PREREQUISITES]]
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118 breakthroughs = [product for product in options
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119 if random() < product.ACQUISITION_CHANCE]
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120 if breakthroughs:
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121 breakthrough = choice(breakthroughs)()
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122 self._gain_science(breakthrough)
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123 breakthroughs = [breakthrough]
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124 return breakthroughs
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125
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126 def apply_basic_research(self, basic_research):
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127 if basic_research <= 1:
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128 return []
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129
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130 options = self.find_new_research()
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131 success_chance = self.BASIC_RESEARCH_SUCCESS_RATE * (
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132 self.BASIC_RESEARCH_SUCCESS_MULTIPLIER ** basic_research)
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133 breakthroughs = [research for research in options
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134 if random() < success_chance]
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135 if breakthroughs:
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136 breakthrough = choice(breakthroughs)(1)
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137 self._gain_science(breakthrough)
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138 breakthroughs = [breakthrough]
10d3db1f1e08 Set up initial research and rework breakthroughs.
Jeremy Thurgood <firxen@gmail.com>
parents: 14
diff changeset
139 return breakthroughs