generated from mwc/lab_dice
8f61e6003a
Checkpoint 3: I think in Units 1 or 2 I wouldn't have had such specific conditions. So OOP helps me target specific goals or problems that I might encounter. I think OOP makes more sense to me than other targeted code we wrote in Unit 1 or 2. I am struggling a little bit to understand creation of "." conditions/actions. Otherwise this seems to be a super useful tool to know.
69 lines
1.6 KiB
Python
69 lines
1.6 KiB
Python
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class GoalOnes:
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"One point for each one"
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def prompt(self, dice):
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potential_score = self.score(dice)
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return f"Ones ({potential_score})"
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def score(self, dice):
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total = 0
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for die in dice:
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if die.face == 1:
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total += 1
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return total
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class GoalTwos:
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"Two points for each two"
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def prompt(self, dice):
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potential_score = self.score(dice)
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return f"Twos ({potential_score})"
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def score(self, dice):
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total = 0
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for die in dice:
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if die.face == 2:
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total += 2
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return total
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class GoalThrees:
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"Three points for each three"
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def prompt(self, dice):
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potential_score = self.score(dice)
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return f"Threes ({potential_score})"
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def score(self, dice):
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total = 0
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for die in dice:
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if die.face == 3:
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total += 3
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return total
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class GoalFours:
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"Four points for each four"
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def prompt(self,dice):
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potential_score = self.score(dice)
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return f"Fours ({potential_score})"
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def score(self,dice):
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total = 0
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for die in dice:
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if die.face == 4:
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total += 4
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return total
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class LargeStraight:
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"Fourty points for 5 sequential dice"
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def prompt(self, dice):
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potential_score = self.score(dice)
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return f"Large Straight ({potential_score})"
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def score(self,dice):
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total = 0
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faces = [die.face for die in dice]
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if faces == [1,2,3,4,5] or faces == [2,3,4,5,6]:
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total = 40
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return total
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