Mercurial > parpg-source

annotate characterstatistics.py @ 119:2399a8c3da0c

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Modified EquipmentSlot to display an image instead of a text. Added EquipmentGui class, which handles the equipment slots of the player screen. An EquipmentGui instance will be created in the InventoryGUI constructor. The initializeInventory method of the Hud class supplies the players inventory and equipment to the InventoryGUI constructor.
author KarstenBock@gmx.net
date Wed, 05 Oct 2011 11:04:39 +0200
parents 7a89ea5404b1
children 741d7d193bad
rev   line source
0
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1 # This program is free software: you can redistribute it and/or modify
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2 # it under the terms of the GNU General Public License as published by
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3 # the Free Software Foundation, either version 3 of the License, or
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4 # (at your option) any later version.
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5
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6 # This program is distributed in the hope that it will be useful,
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7 # but WITHOUT ANY WARRANTY; without even the implied warranty of
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8 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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9 # GNU General Public License for more details.
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10
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11 # You should have received a copy of the GNU General Public License
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12 # along with this program. If not, see <http://www.gnu.org/licenses/>.
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13 """
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14 Provides classes that define character stats and traits.
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15 """
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16
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17 from abc import ABCMeta, abstractmethod
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18 from weakref import ref as weakref
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19
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20 from .serializers import SerializableRegistry
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21
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22 class AbstractCharacterStatistic(object):
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23 __metaclass__ = ABCMeta
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24
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25 @abstractmethod
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26 def __init__(self, description, minimum, maximum):
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27 self.description = description
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28 self.minimum = minimum
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29 self.maximum = maximum
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30
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31
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32 class PrimaryCharacterStatistic(AbstractCharacterStatistic):
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33 def __init__(self, long_name, short_name, description, minimum=0,
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34 maximum=100):
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35 AbstractCharacterStatistic.__init__(self, description=description,
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36 minimum=minimum, maximum=maximum)
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37 self.long_name = long_name
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38 self.short_name = short_name
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39
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40 SerializableRegistry.registerClass(
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41 'PrimaryCharacterStatistic',
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42 PrimaryCharacterStatistic,
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43 init_args=[
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44 ('long_name', unicode),
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45 ('short_name', unicode),
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46 ('description', unicode),
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47 ('minimum', int),
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48 ('maximum', int),
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49 ],
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50 )
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51
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52
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53 class SecondaryCharacterStatistic(AbstractCharacterStatistic):
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54 def __init__(self, name, description, unit, mean, sd, stat_modifiers,
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55 minimum=None, maximum=None):
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56 AbstractCharacterStatistic.__init__(self, description=description,
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57 minimum=minimum, maximum=maximum)
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58 self.name = name
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59 self.unit = unit
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60 self.mean = mean
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61 self.sd = sd
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62 self.stat_modifiers = stat_modifiers
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63
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64 SerializableRegistry.registerClass(
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65 'SecondaryCharacterStatistic',
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66 SecondaryCharacterStatistic,
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67 init_args=[
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68 ('name', unicode),
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69 ('description', unicode),
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70 ('unit', unicode),
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71 ('mean', float),
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72 ('sd', float),
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73 ('stat_modifiers', dict),
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74 ('minimum', float),
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75 ('maximum', float),
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76 ],
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77 )
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78
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79
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80 class AbstractStatisticValue(object):
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81 __metaclass__ = ABCMeta
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82
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83 @abstractmethod
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84 def __init__(self, statistic_type, character):
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85 self.statistic_type = statistic_type
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86 self.character = weakref(character)
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87
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88
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89 class PrimaryStatisticValue(AbstractStatisticValue):
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90 def value():
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91 def fget(self):
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92 return self._value
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93 def fset(self, new_value):
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94 assert 0 <= new_value <= 100
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95 self._value = new_value
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96
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97 def __init__(self, statistic_type, character, value):
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98 AbstractStatisticValue.__init__(self, statistic_type=statistic_type,
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99 character=character)
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100 self._value = None
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101 self.value = value
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102
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103
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104 class SecondaryStatisticValue(AbstractStatisticValue):
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105 def normalized_value():
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106 def fget(self):
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107 return self._normalized_value
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108 def fset(self, new_value):
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109 self._normalized_value = new_value
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110 statistic_type = self.statistic_type
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111 mean = statistic_type.mean
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112 sd = statistic_type.sd
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113 self._value = self.calculate_value(mean, sd, new_value)
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114 return locals()
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115 normalized_value = property(**normalized_value())
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116
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117 def value():
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118 def fget(self):
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119 return self._value
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120 def fset(self, new_value):
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121 self._value = new_value
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122 statistic_type = self.statistic_type
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123 mean = statistic_type.mean
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124 sd = statistic_type.sd
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125 self._normalized_value = self.calculate_value(mean, sd, new_value)
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126 return locals()
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127 value = property(**value())
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128
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129 def __init__(self, statistic_type, character):
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130 AbstractStatisticValue.__init__(self, statistic_type=statistic_type,
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131 character=character)
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132 mean = statistic_type.mean
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133 sd = statistic_type.sd
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134 normalized_value = self.derive_value(normalized=True)
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135 self._normalized_value = normalized_value
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136 self._value = self.calculate_value(mean, sd, normalized_value)
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137
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138 def derive_value(self, normalized=True):
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139 """
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140 Derive the current value
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141 """
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142 statistic_type = self.statistic_type
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143 stat_modifiers = statistic_type.stat_modifiers
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144 character = self.character()
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145
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146 value = sum(
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147 character.statistics[name].value * modifier for name, modifier in
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148 stat_modifiers.items()
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149 )
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150 assert 0 <= value <= 100
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151 if not normalized:
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152 mean = statistic_type.mean
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153 sd = statistic_type.sd
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154 value = self.calculate_value(mean, sd, value)
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155 return value
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156
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157 @staticmethod
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158 def calculate_value(mean, sd, normalized_value):
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159 value = sd * (normalized_value - 50) + mean
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160 return value
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161
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162 @staticmethod
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163 def calculate_normalized_value(mean, sd, value):
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164 normalized_value = ((value - mean) / sd) + 50
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165 return normalized_value