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Questions - patch

Augmenting moto with mock patch where method is not yet implemented

I am writing a lambda function that takes a list of CW Log Groups and runs an "export to s3" task on each of them. I am writing automated tests using pytest and I'm using moto.mock_logs (amo...
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Felipe Alvarez

mocking

pytest

boto3

patch

moto

Votes: 0

Answers: 1

Latest Answer

I'm wondering if I can do the same with mock.patch()? Sure, by using mock.patch.object(): with mock.patch.object( c.logs, 'create_export_task', return_value={"taskId": "I ...
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hoefling

Mock/Monkeypatch BeautifulSoup html objects for Pytest

I'm working on a web scraping project in Python and trying to add automated testing w/ Pytest. I'm not new to web scraping but I'm very new to testing, and I believe the idea here is I should mock th...
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jyablonski

python

mocking

pytest

patch

Votes: 0

Answers: 1

Latest Answer

In your test file, you could try like this: from module.script import get_player_stats_data @pytest.fixture(scope="session") def urlopen(mocker): with open(fname, "rb") as fp...
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Laurent

Updating rails 6 params with a link_to

Hello I have a lists of invoices that belong to a business and also the business belongs to a user, I am trying to have a button (link to) on a table in which all the invoices are listed for the user ...
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diego

ruby-on-rails

patch

ruby-on-rails-6

Votes: 0

Answers: 1

Latest Answer

Since, the paid column is present on Invoice, it is much better if you handle it at the controller or model level instead of getting the value from the form. Remove if else conditions and combine it a...
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Abhinay

Create customized plotting function and run it with dynamic parameters using R

Edited code for example from this link, I hope to convert it to a customized function and could easily apply it to new dataframes and arguments with similar formats: library(ggplot2) library(patchwork...
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ah bon

r

ggplot2

dplyr

purrr

patch

Votes: 0

Answers: 1

Latest Answer

Try something like this. You can specify the X/Y and the grouping etc in the function. EDIT: added dataframe as argument to function per the question set.seed(1) df1 <- slice_sample(iris, n = 10) ...
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thehand0

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