fuel | FuelPHP v1.x is a simple , flexible , community driven PHP | Application Framework library

by fuel PHP Version: 1.9.0 License: MIT

X-Ray Key Features Code Snippets(3)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | fuel Summary

fuel is a PHP library typically used in Server, Application Framework, Framework applications. fuel has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

FuelPHP is a fast, lightweight PHP 5.4+ framework. In an age where frameworks are a dime a dozen, we believe that FuelPHP will stand out in the crowd. It will do this by combining all the things you love about the great frameworks out there, while getting rid of the bad. FuelPHP is fully PHP 7.3 compatible.

Support

Quality

Security

License

Reuse

Support

fuel has a medium active ecosystem.

It has 1452 star(s) with 289 fork(s). There are 108 watchers for this library.

It had no major release in the last 6 months.

fuel has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of fuel is 1.9.0

Quality

fuel has no bugs reported.

Security

fuel has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

fuel is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

fuel releases are not available. You will need to build from source code and install.

Top functions reviewed by kandi - BETA

kandi has reviewed fuel and discovered the below as its top functions. This is intended to give you an instant insight into fuel implemented functionality, and help decide if they suit your requirements.

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fuel Key Features

No Key Features are available at this moment for fuel.

fuel Examples and Code Snippets

Determine how much fuel required to stop at a given target .

java

Lines of Code : 26

License : No License

Copy

public static int minRefuelStops(int target, int startFuel, int[][] stations) {
        PriorityQueue pq = new PriorityQueue<>((f1, f2) -> Integer.compare(f2, f1));
        int stops = 0, totalFuel = startFuel, prev = 0;
        for (int[] s

Add fuel type information to the vehicleDTO .

java

Lines of Code : 7

License : Permissive (MIT License)

Copy

@BeforeMapping
    protected void enrichDTOWithFuelType(Car car, @MappingTarget CarDTO carDto) {
        if (car instanceof ElectricCar)
            carDto.setFuelType(FuelType.ELECTRIC);
        if (car instanceof BioDieselCar)
            carDto.se

Returns information about the fuel .

java

Lines of Code : 6

License : Permissive (MIT License)

Copy

@Override
    String getInformation() {
        return new StringBuilder("Fuel Car")
          .append("\nFuel type: " + fuel)
          .toString();
    }

Community Discussions

Trending Discussions on fuel

Visualise missing values in a time series heatmap

Showing that Greedy algorithm exhibits optimal substructure and greedy choice

Incorrect images path in production build - Vue.js

Queries for minimum fuel needed to travel from U to V

How to get individual cell in table using Pandas?

Extract data from API and store the records in a Pandas dataframe

Bootstrap reduce space between text in button

Why updating object in array is not working in VUE?

How to send request payload as parameter in python web scraping?

Predicting the averages of future time series in R

QUESTION

Visualise missing values in a time series heatmap

Asked 2022-Mar-28 at 19:27

I am really new in big data analysing. Let's say I have a big data with the following features. I want to visualise the the percentage of missing values (None values) of fuel parameters for every id in specific hour. I want to draw a chart that x-axis is the time series (time column), y-axis is the 'id' and the colour will indicate its missing fuel percentage. I grouped the data base on 'id' and 'hour'

I don't know how to visualise missing value in a good way for all ids. For example if the percentage of missing value fuel of specific id in specific hour is 100% then the colour in that specific time and for that 'id' can be gray. If percentage of missing value in fuel is 50%, the colour can be light green. If percentage of missing value in fuel is 0% then the colour can be dark green. The colour must be based to the percentage of missing value in fuel, after grouping based on id and time.

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ANSWER

Answered 2022-Mar-25 at 09:39

There is no right answer concerning missing values visualization, I guess it depends on your uses, habits ...

But first, to make it works, we need to preprocess your dataframe and make it analyzable, aka ensure its dtypes.

First let's build our data :

Source https://stackoverflow.com/questions/71610279

QUESTION

Showing that Greedy algorithm exhibits optimal substructure and greedy choice

Asked 2022-Mar-21 at 07:01

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?

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ANSWER

Answered 2022-Mar-20 at 06:03

Let'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.

Source https://stackoverflow.com/questions/71540628

QUESTION

Incorrect images path in production build - Vue.js

Asked 2022-Jan-24 at 11:27

I'm building my project with Vue.js 3, Vite.js. The app works fine when in dev mode (when using the dev server). Once I do launch the build command, Vite creates for me the /dist directory containing the build for my app. If I run the preview command (vite preview) it starts with no problem the preview of my build.

The problem is with some images which are coming from Vue components. All the images of my project are in the src/assets directory.

...

ANSWER

Answered 2022-Jan-24 at 11:27

Instead of using relative path (..) to the assets folder, you can use @/assets from any of the vue components to refer to files in the assets folder.

E.g this should work, no matter how deep the Vue component is nested.

Source https://stackoverflow.com/questions/70811770

QUESTION

Queries for minimum fuel needed to travel from U to V

Asked 2022-Jan-19 at 14:29

Question:

Given a tree with N nodes.

Each edges of the tree contains:

D : the length of the edge
T : the gold needed to pay to go through that edge (the gold should be paid before going through the edge)

When moving through an edge, if you're carrying X golds, you will need X*D fuel.

There are 2 types of queries:

u, v: find the fuel needed to transfer G golds from u to v (G is fixed among all queries)
u, v, x: update T of edge {u,v} to x ({u, v} is guaranteed to be in the tree)

Constraints:

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ANSWER

Answered 2022-Jan-17 at 11:03

I told in the comments that a Dijkstra algorithm was necessary, but thinking better the DFS is really enough because there is only one path for each pair of vertices, we will always need to go from the starting point to the endpoint.

Using a priority queue instead of a stack would only change the order that the graph is explored, but in the worst case it would still visit all the vertices.

Using a queue instead of a stack would make the algorithm a breadth first search, again would only change the order in which the graph is explored.

Assuming that the number of nodes in a given distance increases exponentially with the threshold. An improvement for the typical case could be achieved by doing two searches and meeting in the middle. But only a constant factor.

So I think it is better to go with the simple solution, implementing this in C/C++ will result in a program dozens of times faster.

Solution

Prepare adjacency lists, and also makes the graph undirected

Source https://stackoverflow.com/questions/70711590

QUESTION

How to get individual cell in table using Pandas?

Asked 2021-Dec-30 at 01:17

I have a table:

...

ANSWER

Answered 2021-Dec-28 at 03:34

You can simply use df.loc for that purpose

Source https://stackoverflow.com/questions/70502488

QUESTION

Extract data from API and store the records in a Pandas dataframe

Asked 2021-Dec-16 at 15:26

I am looking at the following website: https://data.gov.sg/dataset/bunker-sales-monthly?resource_id=44da3191-6c57-4d4a-8268-8e2c418d4b43 and they have the following example for extracting data using their API:

...

ANSWER

Answered 2021-Dec-16 at 15:26

Try pd.json_normalize:

Source https://stackoverflow.com/questions/70381327

QUESTION

Bootstrap reduce space between text in button

Asked 2021-Nov-24 at 10:49

This is my code:

...

ANSWER

Answered 2021-Nov-24 at 09:49

At h5 element you should control margin-bottom, the heading elements in bootstrap have some default values.

Try something like this:

Source https://stackoverflow.com/questions/70093750

QUESTION

Why updating object in array is not working in VUE?

Asked 2021-Nov-21 at 11:25

I'm trying to make an update and I managed to do it in the firebase, but in the store is not updating. Here is my code

...

ANSWER

Answered 2021-Nov-21 at 03:07

Can you try to change your EDIT_CAR mutation to:

Source https://stackoverflow.com/questions/70049823

QUESTION

How to send request payload as parameter in python web scraping?

Asked 2021-Oct-28 at 10:06

I am doing web scraping in python using requests of the following website.

Here in inspect element when you will load the data of any fuel type, you will see a API being triggered by name getFilteredInventery.

Suppose, you have selected Diesel, then I want to scrape all the data which is visible in response section of given API. But I cannot simply open it. In headers section you will see request payload and I think I have send it too as parameter.

I surfed internet and I found out that I can send request payload as param in requests.

This is my code:

...

ANSWER

Answered 2021-Oct-28 at 09:43

You variant:

Source https://stackoverflow.com/questions/69751559

QUESTION

Predicting the averages of future time series in R

Asked 2021-Oct-06 at 06:46

Here is my sample data:

...

ANSWER

Answered 2021-Oct-06 at 06:46

You predict Year using Highway_mpg and City_mpg. If you want result like that blue table above and also, since you focus on average fuel consumption for each car model year, you'd better try this way.

Source https://stackoverflow.com/questions/69459942

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install fuel

You can download it from GitHub.
PHP requires the Visual C runtime (CRT). The Microsoft Visual C++ Redistributable for Visual Studio 2019 is suitable for all these PHP versions, see visualstudio.microsoft.com. You MUST download the x86 CRT for PHP x86 builds and the x64 CRT for PHP x64 builds. The CRT installer supports the /quiet and /norestart command-line switches, so you can also script it.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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