haul | command line tool for developing React Native apps | Frontend Framework library
kandi X-RAY | haul Summary
kandi X-RAY | haul Summary
We're actively working on a Haul successor, which would provide long awaited features like Hot Module Replacement + React Refresh and better feature-parity with Metro. The version 1.0.0 is already released!. If you're investigating using Haul, we highly recommend giving a react-native-webpack-toolkit a go. If you're already using Haul, we recommend migrating to react-native-webpack-toolkit for better developer experience and feature set. The migration process is fairly straighforward, since you now have full access to webpack.config.js. Haul is a drop-in replacement for react-native CLI built on open tools like Webpack. It can act as a development server or bundle your React Native app for production. @haul-bundler/cli and other packages under @haul-bundler scope are a overhaul of haul package and support only React Native 0.59.0 and above. If you need to support older versions, please check legacy branch. @haul-bundler/cli and other packages requires Node 10 to be installed. If you're running older version, please upgrade to Node 10 LTS or newer.
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QUESTION
Need help to extract alphanumeric string from a cell IN EXCEL 2013/2016 Example cells:
...ANSWER
Answered 2022-Mar-22 at 08:24From your current sample you may utilize FILTERXML()
function.
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 looked for a solution in the forum but I didn´t get any.
I´m working with a fish database and I´m trying to transform my data frame from this (MRE):
...ANSWER
Answered 2022-Mar-15 at 16:02The error is most likely caused by NA
values in number
. You'll have to deal with these first, either by dropping them or, if you want to retain them in the output, replacing NA
with some value. Here's how to do both, using either base R or {tidyr}.
NA
s
base R:
QUESTION
I have two dataframes, the one contains Reviews for cars and the second one contains the car make and car model. What I would like to do is use the car model df_brand['name']
to be used to lookup every word in the Review sentence df['Review']
and remove matching words. I would like to remove all the words that contain car brands in them.
Input data df['Review']
:
ANSWER
Answered 2021-Dec-07 at 20:57Your problem wasn't quite condensed enough to reproduce, or to see the desired output, but your basic approach is fine. You may run into issues with misspellings, in which case maybe use an edit distance with a threshold for determining whether to take out the stopword. Here's my version of your code that seems to do fine
QUESTION
I am trying to convert a input sentence Review
into a CountVectorizer. I am struggling to handle the sentences that are passed through. How do I deal with the sentences and add vectors to these? Any assistance will be highly appreciated.
Input Data:
...ANSWER
Answered 2021-Dec-06 at 19:26You don't need the looping. From the documentation:
QUESTION
I am trying to run sentences through the Porter Stemmer algorithm, however am getting and error: AttributeError: 'list' object has no attribute 'lower'
. can anyone assist, as I am not able to identify the problem:
Here is my input:
...ANSWER
Answered 2021-Dec-05 at 09:04The word_tokenize function returns a list of tokens. You therefore need a second for-loop or a list comprehension:
QUESTION
Need help in React…I converted the complex xml file into js object format. After converting the xml file, the js object are stored in ress variable that is showing in the picture. We are storing the different partial transcript in different variables. Is there any way to do it using loop and split it with regular expression in each iteration. So it would he easy for me to use map method instead of calling the component again and again for each partial transcript.
...ANSWER
Answered 2021-Nov-14 at 16:18you can try this :
QUESTION
I have a data frame with three columns (Category, Sub.category and Acitivty). I need a nested list, with these three levels to put into shinyTree.
I'm trying to match the format of this .Rds file to create a shinyTree.
My full table is 99 lines, I've included 30 below, but may need to do over 100+ in the same way.
So far I've got
...ANSWER
Answered 2021-Nov-03 at 13:15Here is a possible approach using rrapply()
in the rrapply
-package to unmelt
the data.frame to a nested list:
QUESTION
I have a trained and saved a model. I am trying to further train the model on new data but it gives error. Relevant part of the code:
...ANSWER
Answered 2021-Sep-15 at 05:44I cleaned up the code and made several changes to retrain
function, Now the function would add a new String and Label to the trainset and fit the classifier again. Other parts of your code stay the same logically!
Utility functions:
QUESTION
I thought I had everything covered, but I'm now having issues with flip boxes working on Mac. I was able to make them compatible with different browsers on phones. I had someone with a Mac say that they were having problems with the animation. I heard that they saw a weird blinking and can see the front of the card through the back. I'm not sure what I'm missing. The last time I had this issue was with iOS, but I was just missing one line of code. Any suggestions? Honestly, I'm winging this as I go and can use any guidance.
...ANSWER
Answered 2021-May-08 at 14:47Answer: justify-content: center;
(You had a typo)
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