vala | make argument validation in Go | Validation library
kandi X-RAY | vala Summary
kandi X-RAY | vala Summary
A simple, extensible, library to make argument validation in Go palatable.
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Top functions reviewed by kandi - BETA
- IsNotNil checks whether the passed value is not nil or not .
- GreaterThan checks if a value is greater than the given value
- Not returns a Checker that checks the given Checker .
- Equals returns a checker that checks the given value .
- CheckSetErrorAndPanic sets an error and panics if any error occurred .
- HasLen checks if the parameter has length equal to the desired length .
- StringNotEmpty checks a value is not empty .
- BeginValidation starts a validation transaction
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Trending Discussions on vala
QUESTION
My template receives following the nested dictionary of general projects list with another dictionary of tags in another definition, together with a definition of a page view:
...ANSWER
Answered 2021-May-25 at 01:50class ProjectsView(Mixin, View):
def get(self, request, id=None, *args, **kwargs):
template = "pages/projects.html"
context = {
'title': 'Projetos',
'projects': self.general_projects_list()
}
return render(request, template, context)
def general_projects_list(self):
projects = {
0:
{
"Name": "Suru++ Pastas",
"Description": "Um executável em Bash de Unix e de BSD para substituir a cor das pastas dos temas de ícones Adwaita++, Suru++ e Yaru++",
"Colaboration": "Clonei o projeto o qual desenvolvi a fim de torná-lo compatível com os temas de ícones",
"Link": "https://github.com/gusbemacbe/suru-plus-folders",
"Tags": ["Makefile", "Shell"]
},
1:
{
"Name": "Icons Missing Request",
"Description": "Um executável que lê o tema de ícone utilizado e os arquivos de desktop de Linux para localizar se os ícones dos arquivos de desktop não existem no tema de ícone e gera uma lista de solicitação de ícones perdidos",
"Colaboration": "Colaborei com o projeto, traduzindo o executável em diversas línguas estrangeiras para facilitar os usuários não familiares com a língua inglesa no terminal",
"Link": "https://github.com/gusbemacbe/icons-missing-script",
"Tags": ["Shell", "Vala"]
},
2:
{
"Name": "Ooomox",
"Description": "Um aplicativo que gera as diferentes variações de cor para Linux, como GTK2, GTK3, GTK4 e terminal, e tambem modifica as cores dos ícones e das pastas dos temas de ícones para seu",
"Colaboration": "Colaborei com o projeto, adicionando as novas extensões de Adwaita++, Suru++ e Yaru++, e traduzindo o aplicativo em espanhol, francês, italiano, neerlandês e português",
"Link": "https://github.com/gusbemacbe/icons-missing-script",
"Tags": ["Makefile", "Python", "Shell"]
},
}
return projects
QUESTION
I am using this code to fetch 100 trending public repos on GitHub.
For every language, I calculated the The list of repos using the language, but I can't calculate the number of repos using this language
part of my code
...ANSWER
Answered 2021-May-12 at 15:34Simplest approach would consist in changing your acc
type from []
to {}
that could carry a count property:
QUESTION
I have 3 tables and at a moment I am selecting any 2 tables and I want to show the difference of each row element of selected tables in a popup in a different column along with the tables .I am stuck here how to compute the difference between the each row of two selected tables. How can i iterate both the tables and then get the result?
...ANSWER
Answered 2021-Apr-25 at 16:47myTable1.querySelectorAll("td")
will give you list of TD
from which you can extract the content:
QUESTION
I am trying to understand why a loop would slow down after increasing iterations. This code is just a simulation of some actual code that replicates data from an API. I have to download data in batched because if I do it all at once, I run out of memory. However, my loop implementation for the batches is not very optimal. I suspect that using pandas is increasing overhead but besides that, what else could be causing the problem?
...ANSWER
Answered 2021-Apr-28 at 04:12Pd.Concat is expensive ->
Here, what you can do - use an empty list and append row dict to that particular list. Finally, convert the output back to pandas dataframe after all the manipulations. It'll be super fast this way :)
QUESTION
I have this piece of code which computes the difference between the rows of two selected tables and display the result on click of button. How can I display the result in a pop up? Basically I want the resultant table to come as popup, so that when we close the popup the tables checkbox are again reset.
Edit: I tried using modals but it seems to be not working. Can anyone please help where I am going wrong
...ANSWER
Answered 2021-Apr-26 at 14:19You can use modals to display your differences between your tables as a popup when they selected. Assign modals' close button as a reset button as well via JS.
modals: https://getbootstrap.com/docs/4.0/components/modal/
Edit:
I couldn't find the line for calling your js file in your code. Can you add this line to the end of your html-body section?
You can add a console.log()
line to your js file, so you can see if your js and html files are connected or not on the browser. (via insperctor-console)
Also, I couldn't find the line that you're activating your modal. You should change its class list. fade
means it will not display on the browser. You should remove it and add show
instead.
Edit-2:
I am not familiar with $
so I am adding the JS which is working. Please try the below things and if there will be a problem, edit your code below and leave me a comment.
in your js file, follow the steps I wrote. You should see an alarm when you click your modal button. You need to fill it up:
QUESTION
I have a dataframe that looks like this:
...ANSWER
Answered 2021-Apr-16 at 17:32This should do the trick
QUESTION
i have a datafram simplely like this:
...ANSWER
Answered 2021-Apr-03 at 13:26Try
QUESTION
I have a table:
VALA VALB DATE POST VALC A C April 1, 2021 10001 D B A April 1, 2021 10001 A A A March 1, 2021 10001 A A A March 1, 2021 10001 B A B March 1, 2021 10001 A A C March 1, 2021 10001 D B A March 1, 2021 10001 A A A April 1, 2021 10002 A A A April 1, 2021 10002 A A C April 1, 2021 10002 D B A April 1, 2021 10002 A A A March 1, 2021 10002 A A A March 1, 2021 10002 A A A March 1, 2021 10002 A A A March 1, 2021 10002 A A C March 1, 2021 10002 D B A March 1, 2021 10002 AI need a result set in the following format:
POST DATE COUNT 10001 March 1, 2021 5 10001 April 1, 2021 2 10002 March 1, 2021 3 10002 April 1, 2021 3What I have tried:
...ANSWER
Answered 2021-Mar-24 at 15:39One approach uses DENSE_RANK
to count the number of distinct combinations of the three value columns. Then, we can aggregate by date and post and take the max value of this dense rank.
QUESTION
I have two dataframes like this:
...ANSWER
Answered 2021-Mar-23 at 12:361st convert the dates into datetime. Try to get the index where the date is in the list of date i.e dfb.date
and in order to get the next row just shift it by 1 and fill na with False.
try:
QUESTION
I'm trying to get an AutoFilter setting as a string.
I set A1:A5
in a worksheet to:
ANSWER
Answered 2021-Mar-21 at 19:45Rewrite to
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