Fruit | Fruit for Html just like Gson for Json | JSON Processing library
kandi X-RAY | Fruit Summary
kandi X-RAY | Fruit Summary
Fruit is a Java library that can be used to convert html to Java Objects ~~and back~~ follow a certain rule. So, in short, Fruit for Html just like Gson for Json. Fruit was inspired by Goolge's Gson, and powered by jsoup.
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Top functions reviewed by kandi - BETA
- Create a pick adapter for a type
- Resolves the given type using the given context
- Gets the generic supertype
- Get the pick adapter for the given type
- Initializes the Activity
- Static constructor
- Construct a new instance of NewsFragment
- On create options menu
- Opens the show page page
- Called when the view is created
- Create the root view
- Calculates the maximum texture size
- Scales an image using the specified factor
- Get data from the response body
- Returns the key and value pairs of a Map
- Called when the View is created
- Cut a string from a cut position
- Jump to a Twitter profile
- Jump to user info
- Open an application for the given package
- Parse an element into an object
- Adjust avatar
- Get the current version name
- Get the current version code
- Creates a new collection instance
- Initialize the tag view
Fruit Key Features
Fruit Examples and Code Snippets
Lines of Code : 12
License : No License
Copyfrom collections import defaultdict
def combine_values(*dicts):
res = defaultdict(list)
for d in dicts:
for key in d:
res[key].append(d[key])
return dict(res)
d1 = {'a': 1, 'b': 'foo', 'c': 400}
d2 = {'a': 3, 'b': 200, 'd': 400}
c from functools import reduce
from math import gcd
def lcm(numbers):
return reduce((lambda x, y: int(x * y / gcd(x, y))), numbers)
lcm([12, 7]) # 84
lcm([1, 3, 4, 5]) # 60
@GET
@Template(name = "/all.ftl")
@Path("/all")
@Produces(MediaType.TEXT_HTML)
public Map getAllFruit() {
final List fruits = new ArrayList<>();
fruits.add(new Fruit("banana", "yellow"));
fruits.add(new F @POST
@Path("/created")
@Consumes(MediaType.APPLICATION_JSON)
public Response createNewFruit(@Valid Fruit fruit) {
String result = "Fruit saved : " + fruit;
return Response.status(Status.CREATED.getStatusCode())
@PUT
@Path("/update")
@Consumes(MediaType.APPLICATION_FORM_URLENCODED)
public void updateFruit(@SerialNumber @FormParam("serial") String serial) {
Fruit fruit = new Fruit();
fruit.setSerial(serial);
SimpleStorageSe Community Discussions
Trending Discussions on Fruit
QUESTION
I am attempting to solve a coding challenge however my solution is not very performant, I'm looking for advice or suggestions on how I can improve my algorithm.
The puzzle is as follows:
You are given a grid of cells that represents an orchard, each cell can be either an empty spot (0) or a fruit tree (1). A farmer wishes to know how many empty spots there are within the orchard that are within k distance from all fruit trees.
Distance is counted using taxicab geometry, for example:
...ANSWER
Answered 2021-Sep-07 at 01:11This wouldn't be easy to implement but could be sublinear for many cases, and at most linear. Consider representing the perimeter of each tree as four corners (they mark a square rotated 45 degrees). For each tree compute it's perimeter intersection with the current intersection. The difficulty comes with managing the corners of the intersection, which could include more than one point because of the diagonal alignments. Run inside the final intersection to count how many empty spots are within it.
QUESTION
How can I group rows which have at least one value in common? I can pass multiple columns to groupby but I want any one of them to be considered, not all of them.
Sample code:
...ANSWER
Answered 2022-Feb-09 at 10:49You problem seems to be a graph problem.
finding the groups per columnFirst, lets see which rows are grouped per column
QUESTION
I have this Js function with hard coded filter parameters. It filter all the buckets sub objects when key start with a string from a given list. For now i havent found a way to put this list as an array...
...ANSWER
Answered 2022-Jan-25 at 16:55Use array.every() to check all the elements of the array.
QUESTION
Suppose I have the following dataframe:
...ANSWER
Answered 2021-Dec-18 at 19:30You can actually use pd.get_dummies for this.
QUESTION
I am trying to create two tables and populate them with two randomized arrays. I don't remember how I got to this point but below is a codepen I have. I want to create a table class="side" and a table class="top" and put the random arrays in them. Please forgive me for the messy codes. I have no experience with coding and just want to make something for my students. Thank you.
edit1: cut the codes a little. I want to make a table with 3 cells in a column and another table with 4 cells in a row and randomly populate them with the two emojis array respectively. Can anyone help me with the JS codes?
...ANSWER
Answered 2021-Dec-14 at 09:17You want to generate tables from javaScript using an aYrray as content. Here is a small snippet of the generation of a table.
QUESTION
I've got a pandas dataframe that looks like this:
ANSWER
Answered 2021-Nov-18 at 11:57Use DataFrame.pivot with division by sums:
QUESTION
I know that enum inheritance is not possible in c++, but I am looking for specific data structure that simply fit into my case. Suppose I have these two enums:
...ANSWER
Answered 2021-Sep-04 at 01:53This sounds like an excellent use case for std::variant.
QUESTION
IF we are not sure about the nature of categorical features like whether they are nominal or ordinal, which encoding should we use? Ordinal-Encoding or One-Hot-Encoding? Is there a clearly defined rule on this topic?
I see a lot of people using Ordinal-Encoding on Categorical Data that doesn't have a Direction. Suppose a frequency table:
...ANSWER
Answered 2021-Sep-04 at 06:43You're right. Just one thing to consider for choosing OrdinalEncoder or OneHotEncoder is that does the order of data matter?
Most ML algorithms will assume that two nearby values are more similar than two distant values. This may be fine in some cases e.g., for ordered categories such as:
quality = ["bad", "average", "good", "excellent"]orshirt_size = ["large", "medium", "small"]
but it is obviously not the case for the:
color = ["white","orange","black","green"]
column (except for the cases you need to consider a spectrum, say from white to black. Note that in this case, white category should be encoded as 0 and black should be encoded as the highest number in your categories), or if you have some cases for example, say, categories 0 and 4 may be more similar than categories 0 and 1. To fix this issue, a common solution is to create one binary attribute per category (One-Hot encoding)
QUESTION
With an Enum object as such:
...ANSWER
Answered 2021-Aug-11 at 07:19You can use a property for this problem, like this:
QUESTION
I have a data frame of counts per person that looks like this:
...ANSWER
Answered 2021-Jul-23 at 17:21We just need assignment i.e. select the subset of columns of 'df1' with 'Food' column of 'df2', split those with 'Group' column into a list, get the rowSums and assign those to create new columns in 'df1' based on the 'Group' column values
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