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annotate gamelib/lab.py @ 17:10d3db1f1e08

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Set up initial research and rework breakthroughs.
author Jeremy Thurgood <firxen@gmail.com>
date Sun, 06 May 2012 17:39:37 +0200
parents 9d61abb3cfaf
children 718d1ec382f7
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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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11
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12 def __init__(self):
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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 self._choose_initial_science()
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18 def _choose_initial_science(self):
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19 # We always get all starting products.
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20 for product in self.new_products[:]:
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21 if product.STARTING_PRODUCT:
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22 self._gain_science(product())
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23
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24 # We get three random sciences with no prerequisites.
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25 new_science = []
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26 for _ in range(3):
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27 science = choice(self.find_new_research())()
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28 self._gain_science(science)
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29 new_science.append(science)
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30
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31 # Add a point to each of our sciences, and see if we get products.
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32 self.spend_points(new_science, 0)
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33
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34 def _gain_science(self, science):
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35 self.science.append(science)
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36 if isinstance(science, research.ResearchArea):
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37 self.new_research.remove(type(science))
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38 elif isinstance(science, products.Product):
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39 self.new_products.remove(type(science))
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41 def spend_points(self, things, basic_research):
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42 breakthroughs = []
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43
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44 # First, allocate the points.
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45 for thing in things:
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46 assert thing in self.science
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47 assert thing.can_spend(self)
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48 thing.spend_point()
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49
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50 # Next, check for product breakthroughs and upgrades
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51 for thing in things:
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52 if isinstance(thing, research.ResearchArea):
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53 breakthroughs.extend(self.apply_area_research(thing))
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54
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55 # Finally, check for research breakthroughs.
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56 breakthroughs.extend(self.apply_basic_research(basic_research))
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57
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58 # Now that we have our breakthroughs, apply them.
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59 print breakthroughs
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60
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61 return breakthroughs
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62
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63 def _get_science(self, science_class):
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64 for science in self.science:
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65 if isinstance(science, science_class):
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66 return science
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67 return None
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68
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69 def meet_requirements(self, science_class, extra=0):
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70 total_points = 0
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71 base_points = 0
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72 for science, level in science_class.PREREQUISITES:
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73 my_science = self._get_science(science)
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74 if my_science is None:
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75 return False
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76 if my_science.points < level:
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77 return False
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78 base_points += level
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79 total_points += my_science.points
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80 return total_points - base_points >= extra
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81
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82 def find_new_products(self, research_area):
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83 available_products = []
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84 for product_class in self.new_products:
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85 if self.meet_requirements(product_class):
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86 available_products.append(product_class)
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87 return available_products
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88
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89 def find_new_research(self):
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90 available_research = []
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91 for research_class in self.new_research:
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92 if self.meet_requirements(research_class):
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93 available_research.append(research_class)
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94 return available_research
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95
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96 def apply_area_research(self, research):
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97 options = self.find_new_products(research)
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98 breakthroughs = [product for product in options
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99 if random() < product.ACQUISITION_CHANCE]
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100 if breakthroughs:
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101 breakthrough = choice(breakthroughs)()
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102 self._gain_science(breakthrough)
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103 breakthroughs = [breakthrough]
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104 return breakthroughs
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105
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106 def apply_basic_research(self, basic_research):
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107 if basic_research <= 1:
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108 return []
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109
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110 options = self.find_new_research()
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111 success_chance = self.BASIC_RESEARCH_SUCCESS_RATE * (
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112 self.BASIC_RESEARCH_SUCCESS_MULTIPLIER ** basic_research)
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113 breakthroughs = [research for research in options
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114 if random() < success_chance]
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115 if breakthroughs:
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116 breakthrough = choice(breakthroughs)(1)
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117 self._gain_science(breakthrough)
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118 breakthroughs = [breakthrough]
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119 return breakthroughs