skill_one = [
("Peony", 10 ), ("Tulip", 14 ),
("Rose", 20 ), ("Daisy", 26 ),
("Lilac", 32 ), ("Hyacinth", 38 ),
("Nemesia", 44 ), ("Snapdragon", 50 )
]
skill_two = [
("Copper", 4 ), ("Iron", 8 ),
("Silver", 12 ), ("Gold", 16 ),
("Cobalt", 20 ), ("Obsidian", 24 ),
("Astral", 28 ), ("Infernal", 32 )
]
List view
def create_comparison_list(skill_one_items, skill_two_items, skill_one_multiplier = 1.0, skill_two_multiplier = 1.0):
create_comparison_list(skill_one, skill_one)
Peony : vs Peony 0.0%
Peony : vs Tulip 6.3%
Peony : vs Rose -1.2%
Peony : vs Daisy -5.3%
Peony : vs Lilac -7.8%
Peony : vs Hyacinth -9.5%
Peony : vs Nemesia -10.8%
Peony : vs Snapdragon -11.7%
Tulip : vs Peony -5.9%
Tulip : vs Tulip 0.0%
Tulip : vs Rose -7.0%
Tulip : vs Daisy -10.8%
Tulip : vs Lilac -13.2%
Tulip : vs Hyacinth -14.8%
Tulip : vs Nemesia -16.0%
Tulip : vs Snapdragon -16.9%
Rose : vs Peony 1.2%
Rose : vs Tulip 7.6%
Rose : vs Rose 0.0%
create_comparison_list(skill_one, skill_two) # Different priced items comparison
Peony : vs Copper 150.0%
Peony : vs Iron 86.0%
Peony : vs Silver 64.6%
We would need 150% in efficiency and skill to make as much Peony with same skills. Items take same time to create, copper gives 4g, Peony 10g.
- Modify skill_two efficiency/speed by 150% (1+1.5) to confirm
-
create_comparison_list(skill_one, skill_two, 1.0, 2.5)
Peony : vs Copper 0.0%
Peony : vs Iron -25.6%
Peony : vs Silver -34.1%
With an increase of 150% from skills/speed, we reach parity of Copper/Peony.
Iron becomes more profitable than Peony, so much that there is an excess 25% of efficiency/speed (25% is 100 levels or ~3 building upgrades)
Table view and intended use
Different prices with different (skills) efficiency/speed, ie: 25 skill levels (6.25%) and 2% from items, with reminder of the 2.5 example for clarity
create_comparison_table(skill_one, skill_two, 1.0, 1.0825)
create_comparison_table(skill_one, skill_two, 1.0, 2.5)
Comparison Table (values show required % increase in speed/efficiency for Skill Two):
Skill One / Skill Two Copper Iron Silver Gold Cobalt Obsidian Astral Infernal
---------------------------------------------------------------------------------------
Peony 130.9% 71.8% 52.1% 42.2% 36.3% 32.4% 29.6% 27.4%
Tulip 117.3% 61.7% 43.1% 33.8% 28.3% 24.6% 21.9% 19.9%
Rose 133.8% 73.9% 54.0% 44.0% 38.0% 34.0% 31.2% 29.0%
Daisy 143.8% 81.3% 60.5% 50.1% 43.9% 39.7% 36.7% 34.5%
Lilac 150.4% 86.3% 64.9% 54.2% 47.8% 43.5% 40.5% 38.2%
Hyacinth 155.2% 89.8% 68.1% 57.2% 50.6% 46.3% 43.2% 40.8%
Nemesia 158.8% 92.5% 70.4% 59.4% 52.7% 48.3% 45.2% 42.8%
Snapdragon 161.6% 94.6% 72.3% 61.1% 54.4% 49.9% 46.7% 44.3%
Comparison Table (values show required % increase in speed/efficiency for Skill Two):
Skill One / Skill Two Copper Iron Silver Gold Cobalt Obsidian Astral Infernal
-----------------------------------------------------------------------------------------
Peony 0.0% -25.6% -34.1% -38.4% -41.0% -42.7% -43.9% -44.8%
Tulip -5.9% -30.0% -38.0% -42.0% -44.5% -46.1% -47.2% -48.1%
Rose 1.2% -24.7% -33.3% -37.7% -40.2% -42.0% -43.2% -44.1%
Daisy 5.5% -21.5% -30.5% -35.0% -37.7% -39.5% -40.8% -41.8%
Lilac 8.4% -19.3% -28.6% -33.2% -36.0% -37.9% -39.2% -40.2%
Hyacinth 10.5% -17.8% -27.2% -32.0% -34.8% -36.7% -38.0% -39.0%
Nemesia 12.0% -16.6% -26.2% -31.0% -33.9% -35.8% -37.1% -38.2%
Snapdragon 13.3% -15.7% -25.4% -30.2% -33.1% -35.1% -36.5% -37.5%