python mocking function calls that are called during module import

I need to perform mocking for python code that is running during module import For example I have code like this import configparser config = configparser.ConfigParser() config.read(‘test.ini’) a = float(config[‘config’][‘a’]) b = float(config[‘config’][‘b’]) c = float(config[‘config’][‘c’]) print(a) print(b) print(c) I need mock “config” for testing import pytest import mock import app @mock.patch(‘app.configparser.ConfigParser’) def test_config_mock(config_mock): config_mock.return_value…

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TS2307: Cannot find module ‘firebase-functions

I am trying to use circleci with my Angular Cli and firebase app. Manually it all builds and deploys correctly. However, When I do a circleci deploy, I get the following error: ERROR in /home/circleci/repo/functions/src/index.ts [tsl] ERROR in /home/circleci/repo/functions/src/index.ts(1,28) TS2307: Cannot find module ‘firebase-functions’. npm ERR! code ELIFECYCLE npm ERR! errno 2 npm ERR! [email protected]

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Error: Template parse errors: ‘:svg:span’ is not a known element:

Could you please help me overcome this problem in my HTML in an angular project? <svg xmlns:ct=”http://gionkunz.github.com/chartist-js/ct” width=”100%” height=”100%” class=”ct-chart-line” style=”width: 100%; height: 100%;”> <foreignObject style=”overflow: visible;” x=”50″ y=”270″ width=”121.04761614118304″ height=”20″> <span class=”ct-label ct-horizontal ct-end” xmlns=”http://www.w3.org/2000/xmlns/” style=”width: 121px; height: 20px;”>1 </span></foreignObject></svg> Error 1. If ‘:svg:span’ is an Angular component, then verify that it is part…

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How do count total for every stacked group in plotly dash?

Example dataframe: df={ ‘id’ :[1,1, 2,2, 3], ‘testname’ : [‘math’, ‘science’, ‘math’, ‘literature’, ‘math’], ‘result’ :[‘passed’, ‘failed’, ‘passed’, ‘passed’, ‘failed’} Id testname. result 1. math. passed 1. science. failed 2. math. passed 2. literature. passed 3. math. failed my code are as below: def verify_all_exams_are_passed(results): return results.eq(‘passed’).all() students_passed = df.groupby(‘id’)[‘result’].apply(verify_all_exams_are_passed) total_passed=student_passed.sum() trace6= [go.Bar( x=df[df[‘id’] ==…

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