substructure | JavaScript only Mindustry mod , contains examples
kandi X-RAY | substructure Summary
kandi X-RAY | substructure Summary
A mindustry mod containing examples to show what scripted contents can do. This branch is the JavaScript version for this mod, click here to see the Java version branch. All files are licensed under the GNU General Public License v3.
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- Creates a Phased block .
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QUESTION
I am in need of help proving that an algorithm has greedy choice property and optimal substructure.
Context of the problem:
Consider a problem where a company owns n
gas stations that are connected by a highway.
Each gas station has a limited supply g_i
of gas-cans. Since the company don't know which gas station is most visited they want all of them to have the same amount of gas.
So they hire a fueling-truck to haul gas between the stations in their truck. However, truck also consumes 1 gas-can per kilometer driven.
Your task will be to help the chain calculate the largest amount of gas-cans g_bar
they can have at all Stations.
Consider the example: Here we have g = (20, 40, 80, 10, 20) and
p = (0, 5, 13, 33, 36) (in kilometers). In order to send one gas-can from station 3 to
station 4 we need to put 41 gas-cans in the truck, as the fueling-truck will consume 40 before reaching their destination (to send two gas-cans we need to put 42 in the truck).
The optimal g_bar
for the example is 21 and can be achieved as follows:
Station 2 sends 11 gas-cans towards Station 1. One gas-can arrives while ten are consumed on the way.
Station 3 sends 59 gas-cans towards Station 4. 19 arrive while 40 are consumed on the way.
Station 4 now has 29 gas-cans and send eight towards Station 5. Two of these arrive and six are consumed on the way.
The final distribution of gas-cans is: (21, 29, 21, 21, 22).
Given an integer g_bar
. Determine whether it is possible to get at least g_bar
gas-cans in every Gas Station.
in order for the greedy choice property and optimal substructure to make sense for a decision problem, you can define an optimal solution to be a solution with at least g_bar
gas-cans in every gas station if such a solution exists; otherwise, any solution is an optimal solution.
Input: The position p_i
and gas-can supply g_i of
each bar. Here g_i
is the supply for the bar at position p_i
. You may assume that the positions are in sorted order – i.e. p_1 < p_2 < . . . < p_n
.
Output: The largest amount g_bar
, such that each gas-station can have a gas-can supply of at least g_bar
after the truck have transferred gas-cans between the stations.
How can i prove Greedy Choice and Optimal Substructure for this?
...ANSWER
Answered 2022-Mar-20 at 06:03Let's define an optimal solution: Each station has at least X
gas cans in each station (X
= g_bar
).
Proving greedy property
Let us assume our solution is sub-optimal. There must exist a station i
such that gas[i]
< X
. Based on our algorithm, we borrow X - gas[i]
from station i+1
(which is a valid move, since we had already found a solution). Now station i
has gas = X
. This contradicts the original assumption that there must exist a station i
such that gas[i]
< X
, which means our solution isn't suboptimal. Hence, we prove the optimality.
Proving optimal substructure
Assume we have a subset of the stations of size N'
, and our solution is suboptimal. Again, if the solution is suboptimal, there must exist a station i
such that gas[i]
< X
. You can use the greedy proof again to prove that our solution isn't suboptimal. Since we have optimal solution for each arbitrary subset, we prove that we have optimal substructure.
QUESTION
I am trying to use a variable inside a substructure. I guess the variable should be of integer data type, and I am trying to add a loop here but it my data type is list since it contains multiple integers.
...ANSWER
Answered 2022-Mar-12 at 13:15You said: " I want to loop and take the numbers one by one."
Did you mean this:
QUESTION
I can easily use tf.map_fn when the function has one output:
...ANSWER
Answered 2022-Jan-17 at 21:13You should make sure you are returning a tensor. Maybe concatenate or stack the list of values:
QUESTION
I building a web-component and within its constructor using template to initialize its substructure. A part of this substructure is another web-component whose setter method I wish to call. I get the sub-component by querying DOM tree that was created via the template, but through this only standard Element
properties are accessible.
It is a bit of a complex problem and it might be I am missing something fundamental. It seems to be related with the fact that one web component uses another web component via the template clone. It was suggested in this question that the problem might be due to sub-component not being loaded/defined. I don't understand this, especially since I can not get the proposed solution to work. I would also assume that whatever JS engine browser is running is smart enough to resolve import
dependencies and does not run the code if its imports are not ready. Am I over simplistic with this?
A simple reproducible example that fails deterministically is indispensable. So I have managed to created a simple replica that demonstrates the problem. For the purpose of consistency I have used the same multi-file structure of the design as in the original:
- component_a.js
ANSWER
Answered 2021-Nov-18 at 16:04Wrap any access to the subcomponent's API like this, assuming s
holds a reference to your DOM node:
QUESTION
Consider an array of n coins with positive integer value and two players player1 and player2. Each player takes the coins turn after turn till there are coins left. The one with the
maximum value wins. The number of coins that a player can take is governed by a variable S initially =1, and a player can take the k coins starting from left contiguously where 1<=k
<=2*S And after a player takes say k coins the value of S becomes max(S,k). Also, there is an assumption that both players play the optimal strategy. We have to find the maximum amount of
coin value that player 1 can take in the game
For example: if the input is [3,6,8,5,4], the output should be 12 because if player1 takes one coin, player 2 takes 2 coins, and then player one retakes 2 coins. So player1
will have 3 + 5 + 4 = 12.
My Thoughts: I feel there could be some way to do it using dynamic programming, but I cannot find the subproblems or optimal substructure. The conditions look very complex. Any ideas on how to approach this?
ANSWER
Answered 2021-Nov-17 at 12:57The sub problem is identified by:
- The number of coins already taken. Otherwise put: the index in the coins array from where the next coins can be taken.
- The value of S.
As the number of coins that can be taken and the value of S can never exceed the number of coins 𝑛, we can memoize results using a matrix of size 𝑛.
The turn is not important for the memoization: no matter whose turn it is, they will have the same opportunities in the same state. So if we encounter a state for player 1 and evaluate it (maximizing the coin value), and then later encounter that same state, but with player 2 to play, then that previous result can be taken to apply to player 2.
The algorithm can use recursion. The base case occurs when the current player could decide to take all remaining coins. And of course, that would always be the best move.
For the recursive case, all possible moves for the current player can be played. For each the best score for the opponent can be derived by making the recursive call. The best move for the current player is the move where the best score for the opponent is minimized.
Here is an implementation in JavaScript. Running this snippet will solve the problem you presented in the question, and also [1,1,1,1,1,1,1]:
QUESTION
I have the following code:
...ANSWER
Answered 2021-Oct-28 at 18:05GetSubstructMatch
returns only the first match. Use GetSubstructMatches
. There are multiple scenarios here depending on the rdkit version you've installed. In the latest rdkit version (2021.09.2), the following code should work.
QUESTION
I have array with nested objects, want to add sum of value and make an object in javascript.
...ANSWER
Answered 2021-Oct-07 at 07:51We can use Array.reduce()
several times in combination with Object.entries()
to add the properties at the correct level in the structure, the end result should be as required:
QUESTION
I created a tf.keras model
that has BERT and I want to train and save it for further use.
Loading this model is a big issue cause I keep getting error: ValueError: The two structures don't have the same nested structure.
I simplified the model a lot, to see where is the problem exactly. The code is pretty simple:
...ANSWER
Answered 2021-Oct-05 at 13:16Check out the issue here on GitHub. It should help you to solve the problem with the shape.
QUESTION
As I understand it you need a problem to have an optimal substructure for dynamic programming to be applicable.
Here's what I don't get.
Take the following Array
A = [1, 6, -3, 1, 5, -1]
As per wikipedia:
In computer science, a problem is said to have optimal substructure if an optimal solution can be constructed from optimal solutions of its subproblems. This property is used to determine the usefulness of dynamic programming and greedy algorithms for a problem.
Here's where my confusion lies.
If I was asked to find the max subarray of size 3 in the array presented above the answer would be 1, 5, -1 (total sum 5).
But if I were to find the max subarray of size 2 the answer would be (1,6) which has no shared elements with the previous answer.
I must not be understanding what optimal substructure means but I don't see how.
...ANSWER
Answered 2021-Jul-20 at 11:09Here the overlapping subproblems are not the subarray lengths, but the containing array lengths. Thus if F(i:j, s)
gives the maximum value subarray of length s
in the containing (sub)array from index i
to index j
, then we can show that
QUESTION
I have a function input_preprocess
that I am using in the data pipeline:
ANSWER
Answered 2021-Jun-25 at 20:59tf.one_hot
returns an EagerTensor
just like tf.zeros
:
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