Longest Jumps: Difference between revisions
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'''Reminder:''' 1 pixel = 1/16<sup>th</sup> of a block = 0. |
'''Reminder:''' 1 pixel = 1/16<sup>th</sup> of a block = 0.0625b. |
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'''Example:''' a configuration of (X:64 Z:32) can be mapped to a 4x2 gap. |
'''Example:''' a configuration of (X:64 Z:32) can be mapped to a 4x2 gap. |
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Configurations listed below are given in terms of pixels, along with their margin (between their distance and the max jump distance for that tier). |
Configurations listed below are given in terms of pixels, along with their margin (between their distance and the max jump distance for that tier). |
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Quite often, the true margin is bit lower because half angles are less efficient for diagonal jumps. <br /> |
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== Tier 5 [+1.171 , +1.249] == |
== Tier 5 [+1.171 , +1.249] == |
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|[https://www.youtube.com/watch?v=D2X37nAlC0M |
|[https://www.youtube.com/watch?v=D2X37nAlC0M 3.875 x 1.3125 + 1] |
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Revision as of 10:44, 1 December 2020
This page contains the longest jump configurations for each tier.
Momentum is assumed to use flat ground, 45° strafe, and an optimal half angle.
Reminder: 1 pixel = 1/16th of a block = 0.0625b.
Example: a configuration of (X:64 Z:32) can be mapped to a 4x2 gap.
Additional resources:
- List of all pixel configurations, ordered by distance up to 16b.
- Python code used to find the longest configurations for a given distance.
- Python program to find constructible setups for a given configuration.
- Fortunately, all configurations can be built in 1.8 (but not in every direction)
Configurations listed below are given in terms of pixels, along with their margin (between their distance and the max jump distance for that tier).
Quite often, the true margin is bit lower because half angles are less efficient for diagonal jumps.
Tier 5 [+1.171 , +1.249]
X pixels | Z pixels | Margin | Verification |
---|---|---|---|
51 | 21 | 0.002380 | |
50 | 24 | 0.005584 | |
52 | 16 | 0.006167 | |
44 | 35 | 0.013611 | |
52 | 15 | 0.014780 |
Tier 4 [+1.016 , +1.170]
X pixels | Z pixels | Margin | Verification |
---|---|---|---|
57 | 19 | 0.000858 | |
56 | 23 | 0.002540 | |
55 | 26 | 0.004093 | |
50 | 36 | 0.004741 | |
47 | 40 | 0.008758 |
Tier 3 [+0.786 , +1.015]
X pixels | Z pixels | Margin | Verification |
---|---|---|---|
62 | 21 | 0.000171 | 3.875 x 1.3125 + 1 |
48 | 47 | 0.001570 | |
63 | 14 | 0.002969 | |
53 | 41 | 0.003786 | |
55 | 38 | 0.004836 |
Tier 2 [+0.481 , +0.785]
X pixels | Z pixels | Margin | Verification |
---|---|---|---|
60 | 40 | 0.000089 | 3.75 x 2.5 + 0.75 |
64 | 32 | 0.001789 | 4 x 2 + 0.75 |
55 | 47 | 0.002426 | |
58 | 43 | 0.003382 | |
68 | 16 | 0.006891 |
Tier 1 [+0.105 , +0.480]
X pixels | Z pixels | Margin | Verification |
---|---|---|---|
60 | 49 | 0.003982 | |
73 | 18 | 0.005155 | |
69 | 33 | 0.012099 | |
64 | 43 | 0.012589 | |
73 | 17 | 0.012883 |
Tier 0 [-0.343 , +0.104]
X pixels | Z pixels | Margin | Verification |
---|---|---|---|
65 | 51 | 0.000198 | 4.0625 x 3.1875 |
59 | 58 | 0.000288 | |
69 | 45 | 0.000921 | |
77 | 25 | 0.001644 | |
75 | 32 | 0.002096 |
Tier -1 [-0.860 , -0.344]
X pixels | Z pixels | Margin | Verification |
---|---|---|---|
82 | 26 | 0.000650 | |
65 | 59 | 0.001155 | |
80 | 33 | 0.003598 | |
69 | 54 | 0.005283 | |
64 | 60 | 0.005367 |
Tier -2 [-1.445 , -0.861]
X pixels | Z pixels | Margin | Verification |
---|---|---|---|
81 | 44 | 0.001869 | |
80 | 46 | 0.001948 | |
85 | 34 | 0.002184 | |
88 | 21 | 0.003762 | |
69 | 62 | 0.004709 |
Tier -3 [-2.097 , -1.446]
X pixels | Z pixels | Margin | Verification |
---|---|---|---|
83 | 51 | 0.001040 | |
92 | 27 | 0.004378 | |
86 | 45 | 0.005269 | |
73 | 65 | 0.005789 | |
84 | 49 | 0.006160 |
Tier -4 [-2.814 , -2.098]
X pixels | Z pixels | Delta | Verification |
---|---|---|---|
87 | 54 | 0.001544 | |
77 | 68 | 0.004627 | |
91 | 46 | 0.005468 | |
81 | 63 | 0.005959 | |
98 | 21 | 0.007712 |
Tier -5 [-3.595 , -2.815]
X pixels | Z pixels | Delta | Verification |
---|---|---|---|
100 | 36 | 0.001035 | |
81 | 71 | 0.001433 | |
85 | 66 | 0.002031 | |
98 | 42 | 0.002628 | |
96 | 47 | 0.002827 |