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scenarios.py
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import numpy as np
scenarios = {}
scenarios['Simple'] = (
np.array([0, 0]),
np.array([[8250, 4500]]),
np.array([[8250, 8999]])
)
scenarios['2 zombies'] = (
np.array([5000, 0]),
np.array([
[ 950, 6000],
[8000, 6100]]),
np.array([
[ 3100, 7000],
[11500, 7100]])
)
scenarios['2 zombies redux'] = (
np.array([10999, 0]),
np.array([
[8000, 5500],
[4000 ,5500]]),
np.array([
[ 1250 , 5500],
[15999 ,5500]])
)
scenarios['Scared human'] = (
np.array([8000, 2000]),
np.array([[8000, 4500]]),
np.array([
[ 2000, 6500],
[14000 , 6500]])
)
scenarios['3vs3'] = (
np.array([7500, 2000]),
np.array([
[9000, 1200],
[400, 6000]
]),
np.array([
[2000, 1500],
[7000, 7500],
[13900, 6500]
])
)
scenarios['Combo opportunity'] = (
np.array([ 500, 4500]),
np.array([
[ 100, 4000],
[ 130, 5000],
[ 10, 4500],
[ 500, 3500],
[ 10, 5500],
[ 100, 3000]
]),
np.array([
[ 8000, 4500],
[ 9000, 4500],
[10000, 4500],
[11000, 4500],
[12000, 4500],
[13000, 4500],
[14000, 4500],
[15000, 3500],
[14500, 2500],
[15900, 500]
])
)
scenarios['Rows to defend'] = (
np.array([0, 4000]),
np.array([
[0, 1000],
[0, 8000]
]),
np.array([
[5000, 1000],
[7000, 1000],
[9000, 1000],
[11000, 1000],
[13000, 1000],
[14000, 1000],
[14500, 1000],
[15000, 1000],
[5000, 8000],
[7000, 8000],
[9000, 8000],
[11000, 8000],
[13000, 8000],
[14000, 8000],
[14500, 8000],
[15000, 8000]
])
)
scenarios['Rows to defend redux'] = (
np.array([0, 4000]),
np.array([
[0, 1000],
[0, 8000]
]),
np.array([
[ 3000, 1000],
[ 3000, 8000],
[ 4000, 1000],
[ 4000, 8000],
[ 5000, 1000],
[ 5000, 8000],
[ 7000, 1000],
[ 7000, 8000],
[ 9000, 1000],
[ 9000, 8000],
[11000, 1000],
[11000, 8000],
[13000, 1000],
[13000, 8000],
[14000, 1000],
[14000, 8000],
[14500, 1000],
[14500, 8000],
[15000, 1000],
[15000, 8000]
])
)
scenarios['Rectangle'] = (
np.array([8000, 4500]),
np.array([
[ 4000, 2250],
[ 4000, 6750],
[12000, 2250],
[12000, 6750]]
),
np.array([
[ 4000, 3375],
[12000, 3375],
[ 4000, 4500],
[12000, 4500],
[ 4000, 5625],
[12000, 5625],
[ 6000, 2250],
[ 8000, 2250],
[10000, 2250],
[ 6000, 6750],
[ 8000, 6750],
[10000, 6750]
])
)
scenarios['Cross'] = (
np.array([8000, 0]),
np.array([
[ 0, 4500],
[15999, 4500],
[ 8000, 7999]
]),
np.array([
[ 2000, 1200],
[ 3000, 1800],
[ 4000, 2400],
[ 5000, 3000],
[ 6000, 3600],
[ 9000, 5400],
[10000, 6000],
[11000, 6600],
[12000, 7200],
[13000, 7800],
[14000, 8400],
[14000, 600],
[13000, 1200],
[12000, 1800],
[11000, 2400],
[10000, 3000],
[ 9000, 3600],
[ 6000, 5400],
[ 5000, 6000],
[ 4000, 6600],
[ 3000, 7200],
[ 2000, 7800],
[ 1000, 8400]
])
)
scenarios['Unavoidable deaths'] = (
np.array([9000, 684]),
np.array([
[15999, 4500],
[ 8000, 7999],
[ 0, 4500]
]),
np.array([
[ 0, 3033],
[ 1500, 6251],
[ 3000, 2502],
[ 4500, 6556],
[ 6000, 3905],
[ 7500, 5472],
[10500, 2192],
[12000, 6568],
[13500, 7448]
])
)
scenarios['Columns of death'] = (
np.array([8000, 4000]),
np.array([
[ 0, 4000],
[15000, 4000]
]),
np.array([
[ 4333, 1800],
[ 4333, 3600],
[ 4333, 5400],
[ 4333, 7200],
[10666, 1800],
[10666, 3600],
[10666, 5400],
[10666, 7200],
[ 0, 7200]
])
)
scenarios['Rescue'] = (
np.array([4920, 6810]),
np.array([
[ 50, 4810],
[14820, 3870],
[10869 , 8250],
[ 9695, 7220],
[10160, 5600],
[12988, 5820],
[14892, 5180],
[ 881, 1210],
[ 7258, 2130],
[13029, 6990]
]),
np.array([
[11048, 720],
[ 2155, 1650],
[ 9618, 2820],
[12157, 3770],
[ 2250, 5180],
[ 8617, 4890],
[ 7028, 960],
[ 1518, 280],
[ 7996, 4080],
[13029, 150],
[ 3119, 4600],
[ 3339, 4150],
[ 894, 7340],
[ 7550, 7550]
])
)
scenarios['Triangle'] = (
np.array([8020, 3500]),
np.array([
[11000, 1000],
[11000, 6000],
[4000, 3500]
]),
np.array([
[15000, 1000],
[15000, 6000],
[120, 3000],
[120, 3500],
[0, 4000]
])
)
scenarios['Grave Danger'] = (
np.array([3900, 5000]),
np.array([
[ 3000, 3000],
[ 3000, 5000],
[ 3000, 7000],
[12000, 3500]
]),
np.array([
[10000, 1000],
[10000, 6000],
[15500, 2000],
[15500, 3600],
[15500, 5000],
[ 0, 1200]
])
)
scenarios['Grid'] = (
np.array([3989, 3259]),
np.array([
[ 302, 6109],
[3671, 981],
[6863, 809]
]),
np.array([
[ 208, 156],
[10129, 711],
[13229, 413],
[ 203, 3627],
[ 7310, 3912],
[ 9814, 3223],
[13556, 3668],
[ 3923, 6251],
[ 6720, 6574],
[10387, 6136],
[13093, 6253]
])
)
scenarios['Hoard'] = (
np.array([3989, 3259]),
np.array([
[3647, 384],
[ 60, 3262],
[2391, 1601],
[2363, 3422]
]),
np.array([
[ 6485, 499],
[ 7822, 446],
[ 9202, 826],
[11060, 253],
[12568, 808],
[14148, 650],
[ 6571, 1893],
[ 8484, 2013],
[ 9669, 1968],
[ 7570, 3338],
[ 9780, 3611],
[ 8360, 4767],
[ 9804, 4154],
[10935, 4977],
[12310, 4614],
[13891, 4302],
[ 913, 5636],
[ 2410, 5912],
[ 3952, 6143],
[ 4615, 5995],
[ 6568, 6085],
[ 8204, 5579],
[ 9049, 5470],
[ 30, 6798],
[ 1798, 6682],
[ 3247, 7664],
[ 5005, 7319],
[ 6415, 7094],
[ 8159, 7447],
[ 9550, 6847]
])
)
scenarios['Flanked!'] = (
np.array([3989, 3259]),
np.array([
[ 647, 384],
[ 60, 1262],
[ 1391, 1601],
[ 1363, 422],
[15470, 384],
[15060, 1262],
[11391, 1601],
[11363, 422]
]),
np.array([
[ 7900, 1579],
[ 8500, 2470],
[ 7500, 3798],
[ 6500, 4682],
[ 9000, 5664],
[ 7500, 6319],
[ 8500, 7094],
[ 7800, 8447],
[ 8100, 8847],
[ 0, 7000],
[ 1000, 7900],
[ 3000, 8500],
[ 5000, 7500],
[ 7000, 6500],
[ 9000, 7000],
[11000, 7500],
[13000, 8500],
[15000, 7800]
])
)
scenarios['SplitSecond'] = (
np.array([8000, 4500]),
np.array([
[3000, 4500],
[14000, 4500]
]),
np.array([
[2500, 4500],
[15500, 6500]
])
)
scenarios['Swervy pattern'] = (
np.array([ 0, 4500]),
np.array([
[ 7000, 3500],
[ 0, 500],
[ 7000, 5500],
[ 3500, 1000],
[ 9250, 8000],
[13000, 4500]
]),
np.array([
[ 3600, 3500],
[ 3700, 4500],
[ 3400, 6500],
[ 9000, 3500],
[ 8990, 4500],
[ 9000, 5500],
[11000, 4000],
[ 9100, 10]
])
)
scenarios['Devastation'] = (
np.array([7992, 8304]),
np.array([
[ 757, 3545],
[ 510, 8170],
[ 1119, 733],
[ 1416, 7409],
[ 1110, 8488],
[ 2118, 1983],
[ 3167, 480],
[ 6576, 664],
[ 8704, 1276],
[13340, 5663],
[13808, 4731],
[15355, 3528],
[15495, 5035],
[15182, 6184],
[15564, 7640]
]),
np.array([
[ 3996, 4152],
[ 3996, 4844],
[ 3996, 7612],
[ 5328, 1384],
[ 7992, 3460],
[11322, 5536],
[11322, 8304]
])
)