Sublist | Windows 10 app to organize your life into a simple list | Runtime Evironment library
kandi X-RAY | Sublist Summary
kandi X-RAY | Sublist Summary
Sublist is a Windows 10 app to organize your life into a simple list of entries which are ordered into heirarchical categories and subcategories. Keep track of all your notes, ideas, tasks, goals, reminders, etc. in one easily accessible, intuitive, well ordered master list. To run the project: Install the SQLite for Visual Studio 2015 first. It is filed in extras/plugins/sqlite-uap-3081101.vsix. Features: -Mark entries as completed -Hide/unhide completed notes -Expand/contract a note's subcategories (in development) -Search entire list for keywords (in development) -Password protected (in development) -Encrypted local storage (in development) -Sync across devices (in development).
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Sublist
Sublist Key Features
Sublist Examples and Code Snippets
@SuppressWarnings("unchecked")
@Override
public List subList(int fromIndex, int toIndex) {
Object[] temp = new Object[toIndex - fromIndex];
System.arraycopy(internal, fromIndex, temp, 0, temp.length);
return (List) Arr
Community Discussions
Trending Discussions on Sublist
QUESTION
I want to make a function that first merges the duplicate entries by key in a dictionary, then removes the duplicate values in each key. However, I want the removed duplicates to be relative to the other values in the value list they’re in, not the value lists of the entire dictionary. If possible, could this be done using only for-loops without list comprehension?
An example input would look like
...ANSWER
Answered 2022-Apr-10 at 19:49The perfect data structure for your Dictionary values would be sets and not lists, as you don't want duplicates. So if that isn't a constraint now or in the future, I'd suggest you make that change.
But if it is a constraint, following could be your code:
QUESTION
I have following pandas dataframe df
...ANSWER
Answered 2022-Mar-27 at 02:32Based on the comments, it appear that memo_func
is the main bottleneck. You can use Numba to speed up its execution. Numba compile the Python code to a native one thanks to a just-in-time (JIT) compiler. The JIT is able to perform tail-call optimizations and native function calls are significantly faster than the one of CPython. Here is an example:
QUESTION
Let pack
be the function [a] -> [[a]]
which takes a list and groups consecutive repeated elements into sublists.
Here are two implementations of pack
in Haskell.
ANSWER
Answered 2021-Nov-12 at 17:17foldl :: Foldable f => (b -> a -> b) -> b -> f a -> b
will for a given function f
, and a base value z
for a list [x1, x2, …, xn]
produce the result of:
QUESTION
I'm looking to output a list of lists in python, in which each list contains the pixel coordinates of each shape of a single colour.
I.e. looking at this image: a 128x128 png
Which I have converted into a 2D grid of RGB values.
I am looking to create a list of lists that each contain the pixel coordinates of the purple "shapes" (squares, rectangles, etc). The criteria for a "shape" is simply at least two same colour pixels adjacent to each other (only up, down, left, right).
In my attempt:
...ANSWER
Answered 2022-Mar-16 at 13:32i've come up with a DFS recursive solution that works:
QUESTION
Given a list with descending order, e.g. [10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0, 0, 0, -1, -2, -2]
and threshold = 1.2
, I want to get sublist from original list with all elements larger than threshold
Method1:
...ANSWER
Answered 2022-Feb-14 at 11:06Binary search is fast for sorted data, O(log n) time. And Python's bisect
module already does it. It wants increasing data and yours is decreasing, but we can virtually make it increasing. Just use its shiny new key
parameter to negate the O(log n) accessed elements (and search for the negated threshold):
QUESTION
I have a list of elements which internally is separated by 0s. The format is like that:
...ANSWER
Answered 2022-Feb-06 at 13:12You can use this:
QUESTION
Given a DataFrame like the following:
...ANSWER
Answered 2022-Jan-23 at 15:49Use groupby
:
QUESTION
I trained a model for sequence classification using transformers (BertForSequenceClassification) and I get the error:
Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0! (when checking argument for argument index in method wrapper__index_select)
I don't really get where is the problem, if it's on my model, on how I tokenize the data, or what.
Here is my code:
LOADING THE PRETRAINED MODEL
...ANSWER
Answered 2021-Nov-25 at 06:19You did not move your model to device
, only the data. You need to call model.to(device)
before using it with data located on device
.
QUESTION
Is there a short way to detect the longest sublist with alternative signs within a list?
For instance:
...ANSWER
Answered 2021-Oct-22 at 15:16Use zip
to compare the current element with the next one:
QUESTION
I am working in R, and I have a dataset that is a list of lists of matrices. Each sublist in the mainlist has two matrices of equal dimension (10 rows x 2 cols). I would like to rbind()
each list of matrices into a single matrix (20 rows x 2 cols). But I do not want to combine every sublist into a single big matrix. Gonna try my best to write a sample code for it but the real data is pretty complex so I'll do my best.
ANSWER
Answered 2021-Sep-23 at 23:38Loop over the outer list
, convert the inner list
elements to data.frame and use do.call
with rbind
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