2024-06-23 17:30:13 +00:00
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import pandas as pd
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2024-06-29 14:40:39 +00:00
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from math import floor
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2024-06-23 17:30:13 +00:00
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2024-06-29 14:40:39 +00:00
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class AttackerWeaponClassMatrix:
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2024-06-23 17:30:13 +00:00
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def __init__(self):
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2024-06-29 14:40:39 +00:00
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# Define the range for X-axis (column) and Y-axis (row).
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x_range = list(range(1, 17)) # attacker weapon class
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y_range = list(range(1, 11)) # defender armour class
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2024-06-23 17:30:13 +00:00
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2024-06-29 14:40:39 +00:00
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# Provide your static values here as per the intersection
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values = [
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# Attacker Weapon class
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# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
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[19, 19, 18, 15, 13, 16, 14, 18, 18, 16, 16, 16, 12, 14, 14, 12], # DAC 1
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[17, 18, 17, 14, 12, 15, 13, 17, 16, 15, 15, 15, 11, 13, 13, 11], # DAC 2
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[16, 16, 16, 12, 10, 15, 12, 16, 15, 14, 15, 15, 8, 12, 13, 11], # DAC 3
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[15, 14, 15, 12, 10, 15, 11, 15, 14, 13, 15, 15, 8, 11, 13, 18], # DAC 4
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[14, 13, 14, 12, 10, 15, 10, 14, 13, 12, 14, 15, 8, 11, 13, 11], # DAC 5
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[13, 12, 13, 12, 10, 15, 9, 13, 12, 11, 11, 15, 8, 10, 13, 11], # DAC 6
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[12, 11, 12, 12, 10, 13, 8, 12, 11, 10, 10, 11, 8, 10, 13, 11], # DAC 7
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[11, 10, 11, 12, 10, 13, 7, 11, 10, 9, 9, 9, 8, 9, 13, 11], # DAC 8
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[10, 9, 10, 12, 10, 7, 6, 10, 9, 8, 7, 6, 8, 8, 8, 11], # DAC 9
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[9, 8, 9, 11, 9, 6, 5, 9, 8, 7, 6, 5, 8, 8, 8, 10] # DAC 10
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]
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2024-06-23 17:30:13 +00:00
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2024-06-29 14:40:39 +00:00
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# Create the DataFrame.
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self.table = pd.DataFrame(values, columns=x_range, index=y_range)
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def get_attack_score(self, awc, dac):
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# pandas uses a 'column-major' order
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# So, (X,Y) method arguments become (Y,X)
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# for pandas locators.
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return int(self.table.loc[dac, awc])
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def get_matrix(self):
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return self.table
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def dump_matrix(self):
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print(self.table)
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class AttackerHitDiceMatrix:
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2024-06-23 17:30:13 +00:00
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def __init__(self):
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2024-06-29 14:40:39 +00:00
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# Define the range for X-axis (column) and Y-axis (row).
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x_range = list(range(1, 17)) # attacker weapon class
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y_range = list(range(1, 11)) # defender armour class
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values = [
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# Attacker Hit Dice
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# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
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[20, 19, 19, 18, 18, 17, 17, 17, 16, 16, 15, 15, 15, 15, 14, 14], # DAC 1
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[19, 18, 18, 17, 17, 16, 16, 16, 15, 15, 14, 14, 14, 14, 13, 13], # DAC 2
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[18, 17, 17, 16, 16, 15, 15, 15, 14, 14, 13, 13, 13, 13, 12, 12], # DAC 3
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[17, 16, 16, 15, 15, 14, 14, 14, 13, 13, 12, 12, 12, 12, 11, 11], # DAC 4
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[16, 15, 15, 14, 14, 13, 13, 13, 12, 12, 11, 11, 11, 11, 10, 10], # DAC 5
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[14, 13, 13, 12, 12, 11, 11, 11, 10, 10, 9, 9, 9, 9, 8, 8], # DAC 6
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[13, 12, 12, 11, 11, 10, 10, 10, 9, 9, 8, 8, 8, 8, 7, 7], # DAC 7
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[12, 11, 11, 10, 10, 9, 9, 9, 8, 8, 7, 7, 7, 7, 6, 6], # DAC 8
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[11, 10, 10, 9, 9, 8, 8, 8, 7, 7, 6, 6, 6, 6, 5, 5], # DAC 9
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[10, 9, 9, 8, 8, 7, 7, 7, 6, 6, 5, 5, 5, 5, 4, 4] # DAC 10
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]
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# Create the DataFrame.
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self.table = pd.DataFrame(values, columns=x_range, index=y_range)
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def get_attack_score(self, ahd, dac):
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# pandas uses a 'column-major' order
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# So, (X,Y) method arguments become (Y,X)
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# for pandas locators.
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return int(self.table.loc[dac, ahd])
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def get_matrix(self):
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return self.table
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def dump_matrix(self):
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print(self.table)
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