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Updated all problems to use fstrings and results()
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@@ -1,7 +1,7 @@
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#ProjectEuler/Python/Problem29.py
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#Matthew Ellison
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# Created: 10-10-19
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#Modified: 07-19-20
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#Modified: 10-30-20
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#How many distinct terms are in the sequence generated by a^b for 2 <= a <= 100 and 2 <= b <= 100?
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#Unless otherwise listed, all of my non-standard imports can be gotten from my pyClasses repository at https://bitbucket.org/Mattrixwv/pyClasses
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"""
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@@ -23,7 +23,6 @@
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from Problems.Problem import Problem
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from Stopwatch import Stopwatch
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from Unsolved import Unsolved
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@@ -63,17 +62,21 @@ class Problem29(Problem):
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#Stop the timer
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self.timer.stop()
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#Print the results
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self.result = "The number of unique values generated by a^b for " + str(self.__bottomA) + " <= a < = " + str(self.__topA) + " and " + str(self.__bottomB) + " <= b <= " + str(self.__topB) + " is " + str(len(self.unique))
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#Throw a flag to show the problem is solved
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self.solved = True
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#Reset the problem so it can be run again
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def reset(self):
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super().reset()
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self.unique.clear()
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#Gets
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#Returns the result of solving the problem
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def getResult(self):
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#If the problem hasn't been solved throw an exception
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if(not self.solved):
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raise Unsolved("You must solve the problem before you can see the result")
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return f"The number of unique values generated by a^b for {self.__bottomA} <= a < = {self.__topA} and {self.__bottomB} <= b <= {self.__topB} is {len(self.unique)}"
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#Returns the lowest possible value for a
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def getBottomA(self):
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#If the problem hasn't been solved throw an exception
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@@ -106,15 +109,6 @@ class Problem29(Problem):
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return self.unique
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#This calls the appropriate functions if the script is called stand alone
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if __name__ == "__main__":
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problem = Problem29()
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print(problem.getDescription()) #Print the description
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problem.solve() #Call the function that answers the problem
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#Print the results
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print(problem.getResult())
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print("It took " + problem.getTime() + " to solve this algorithm")
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""" Results:
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The number of unique values generated by a^b for 2 <= a < = 100 and 2 <= b <= 100 is 9183
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It took an average of 304.306 milliseconds to run this problem through 100 iterations
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