lest | file header-only , tiny framework | Unit Testing library
kandi X-RAY | lest Summary
kandi X-RAY | lest Summary
[Try it online] This tiny C++11 test framework is based on ideas and examples by Kevlin Henney [1,2] and on ideas found in the CATCH test framework by Phil Nash [3]. Let writing tests become irresistibly easy and attractive. Contents - [Example usage] #example-usage) - [In a nutshell] #in-a-nutshell) - [License] #license) - [Dependencies] #dependencies) - [Installation] #installation) - [Usage] #usage) - [Synopsis] #synopsis) - [Variants of lest] #variants-of-lest) - [Features of lest] #features-of-lest) - [Reported to work with] #reported-to-work-with) - [Building tests and examples] #building-tests-and-examples) - [Contributions to lest] #contributions-to-lest) - [Other test frameworks] #other-test-frameworks) - [Notes and references] #notes-and-references).
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Lines of Code : 78License : Non-SPDX (Apache License 2.0)
Copydef transform(node, ctx, config=None):
"""Converts the given node to A-normal form (ANF).
The general idea of A-normal form: https://en.wikipedia.org/wiki/A-normal_form
The specific converters used here are based on Python AST semantics as
Community Discussions
Trending Discussions on lest
QUESTION
so first of this is my first time asking a question here so forgive me if I make any mistakes.
My Problem is as follows: I'm using python to sort through a bunch of images. The images are sorted by many criteria, one of which is the text inside the Image. I've got OCR working and have a list of "bad" words which arent supposed to be in the Image. The problem is that the OCR often confuses some letters, for example e and a. The question is if there is an easy way to generate similar looking words.
Like create_similar("test")
And output would be ["test", "tast" "lest"] and so on.
So I could use that as the list of Bad words and avoid false negatives. If I'm just missing a really obvious solution, please tell me. I've been trying for hours now and just can't get it to work.
ANSWER
Answered 2021-Jun-13 at 22:18I really recommend this article by Peter Norvig on how to build a spelling corrector. In it, you will find the following function that returns a set of all the edited strings (whether words or not) that can be made with one simple edit. A simple edit to a word is a deletion (remove one letter), a transposition (swap two adjacent letters), a replacement (change one letter to another) or an insertion (add a letter).
QUESTION
I would like the last field to have 50px border radius on the right. Why is this not working?
...ANSWER
Answered 2021-Jun-07 at 09:07Add this css on your code
QUESTION
I have this class on my program where I store the pointes of objects that I'm creating in this vector called insumos.
My problem is, how do I return a specific pointer of an object of this vector on a method that looks like this.
On the first method I'm able to return the vector, but how do I return lest say the first pointer of an object of the vector.
i have tried things like
...ANSWER
Answered 2021-May-25 at 02:46You use a subscript:
QUESTION
I have this dataframe.
...ANSWER
Answered 2021-May-07 at 13:52So , I found an answer!
QUESTION
I am learning R and have just started simulating from different probability distributions. I was trying to generate a random variate from the Binomial Distribution. I am not willing to use the inbuilt function rbinom in R for doing the same. Among other methods, I decided to use the result that
the sum of
mBernoulli(p)random variables follow theBinomial(m,p)distribution.
So, I wrote down a function for generating a Bernoulli random variate like this:
...ANSWER
Answered 2021-May-07 at 11:45I think you need replicate like below
QUESTION
The problem here are I had a program that accept input like these
...ANSWER
Answered 2021-May-06 at 04:16If I understand correctly, it sounds like you need to use GROUP BY.
QUESTION
I am trying to reproduce a data frame as shown in the image which is trying to subgroup country based on voting behavior on thee UNvotes data.
My code:
...ANSWER
Answered 2021-Apr-30 at 08:52Are you looking for this? Taking your dput data as df -
QUESTION
I’am trying to classify bivariate point patterns into groups using spatstat. The patterns are derived from the whole slide images of lymph nodes with cancer. I’ve trained a neural network to recognize cells of three types (cancer “LP”, immune cells “bcell” and all other cells). I do not wish to analyse all other cells but use them to construct a polygonal window in the shape of the lymph node. Thus, the patterns to be analysed are immune cells and cancer cells in polygonal windows. Each pattern can have several 10k cancer cells and up to 2mio immune cells. The patterns are of the type “Small World Model” as there is no possibility of points laying outside the window.
My classification should be based on the position of the cancer cells in relation to the immune cells. E.g. most cancer cells are laying on the “islands” of immune cells but in some cases cancer cells are (seemingly) uniformly dispersed and there are only a few immune cells. In addition, the patterns are not always uniform across the node. As I’m rather new to spatial statistics I developed a simple and crude method to classify the patterns. Here in short:
- I calculated a kernel density of the immune cells with
sigma=80because this looked “nice” for me.Den<-density(split(cells)$"bcell",sigma=80,window= cells$window)(Should I have used e.g.sigma=bw.scottinstead?) - Then I created a tessellation image by dividing density range in 3 parts (here again, I experimented with the breaks to get some “good looking results”).
ANSWER
Answered 2021-Apr-29 at 09:21It seems you are trying to quantify the way in which the cancer cells are positioned relative to the immune cells. You could do this by something like
QUESTION
I use grc to colorify the results of ls command.
For the moment, I have the following rule to display the text in white foreground on blue background. I did for this :
...ANSWER
Answered 2021-Apr-16 at 06:57From reading the sourcecode on https://github.com/garabik/grc/blob/master/grcat (lines 157-165)
You can see grc dosen't consider lines that start with # or \n to start new rules only lines with other non letter characters, and if you look at other examples they separate their rules with =======
This is why only your last rule ever applied since they weren't separated properly they were overwriting each other
It should work when separated like this
QUESTION
I have created a script using PYGAME to animate a pendulum motion simulation. I want to press a "q" key to stop the simulation and close the window. I tryed many different codes but all return some error. The lest version of the event part of the code was:
...ANSWER
Answered 2021-Apr-15 at 08:23Any idea of how to make it close the window without Killing the kernel?
Try using pygame.quit(). From pygame FAQ
Make sure, you invoke pygame.quit() on exiting your application or game.
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