coveralls-python | Show coverage stats online via coveralls.io | Functional Testing library

by coveralls-clients Python Version: 2.1.2 License: MIT

X-Ray Key Features Code Snippets(10)Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | coveralls-python Summary

coveralls-python is a Python library typically used in Testing, Functional Testing applications. coveralls-python has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install coveralls-python' or download it from GitHub, PyPI.

Show coverage stats online via coveralls.io

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Quality

Security

License

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Support

coveralls-python has a low active ecosystem.

It has 434 star(s) with 149 fork(s). There are 7 watchers for this library.

It had no major release in the last 12 months.

There are 3 open issues and 121 have been closed. On average issues are closed in 153 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of coveralls-python is 2.1.2

Quality

coveralls-python has 0 bugs and 7 code smells.

Security

coveralls-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

coveralls-python code analysis shows 0 unresolved vulnerabilities.

There are 1 security hotspots that need review.

License

coveralls-python is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

coveralls-python releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

coveralls-python saves you 520 person hours of effort in developing the same functionality from scratch.

It has 1219 lines of code, 100 functions and 27 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of coveralls-python

Get all kandi verified functions for this library.

coveralls-python Key Features

No Key Features are available at this moment for coveralls-python.

coveralls-python Examples and Code Snippets

xpath selector returns empty values

Python

Lines of Code : 49

License : Strong Copyleft (CC BY-SA 4.0)

Copy

driver = webdriver.Chrome(driver_path)
driver.maximize_window()
driver.implicitly_wait(50)
driver.get("https://www.rrpcanada.org/#/")
wait = WebDriverWait(driver, 50)
try:
    wait.until(EC.element_to_be_clickable((By.CSS_SELECTOR, "button

mamba fails to create env

Python

Lines of Code : 24

License : Strong Copyleft (CC BY-SA 4.0)

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name: nbdev
channels:
  - fastai
  - defaults
  - conda-forge
dependencies:
  - _r-mutex
  - _tflow_select
  - absl-py
  - alabaster

name: nbdev
channels:
  - fastai
  - defaults
  - conda-forge
dependencies:
  - p

Exclude imports from coverage in Python

Python

Lines of Code : 2

License : Strong Copyleft (CC BY-SA 4.0)

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coverage run --source ./ -m pytest -v tests/

Using python-coveralls from github-actions returns "Could not submit coverage: 422 Client Error"

Python

Lines of Code : 2

License : Strong Copyleft (CC BY-SA 4.0)

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run: coveralls --service=github

sqlite3.OperationalError: unable to open database file when running dDango test coverage inside a docker container

Python

Lines of Code : 3

License : Strong Copyleft (CC BY-SA 4.0)

Copy

'ENGINE': 'django.db.backends.sqlite3', 
'NAME': '/home/path/to/your/db/data.sqlite3'

Running pytest-qt on CircleCI

Python

Lines of Code : 16

License : Strong Copyleft (CC BY-SA 4.0)

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$ QT_DEBUG_PLUGINS=1 pytest -sv

Got keys from plugin meta data ("xcb")
QFactoryLoader::QFactoryLoader() checking directory path "/usr/local/bin/platforms" ...
Cannot load library /home/circleci/.local/lib/python

python-coveralls in travis does not find coverage
PythonLines of Code : 59License : Strong Copyleft (CC BY-SA 4.0)

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[tox]
envlist = py27, py35, py36
skip_missing_interpreters = true

[testenv]
changedir = libconfig/tests
commands =
    python -c "import libconfig; print(libconfig.__version__)"
    coverage erase
    pytest --basetemp={envtmpdir} --cov-c

Sending email on travis
PythonLines of Code : 29License : Strong Copyleft (CC BY-SA 4.0)

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class SendMail:
def __init__(self):
    pass

def send_mail(self, message, to, subject):
    # Gmail Sign In
    if not os.getenv('FLASK_ENV') == 'testing':
        gmail_sender = os.getenv("EMAIL")
        gmail_passwd = os.getenv("EMAIL_

How to fix? ImportError: pycurl: libcurl link-time version is older than compile-time version
PythonLines of Code : 2License : Strong Copyleft (CC BY-SA 4.0)

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pip install --upgrade --force-reinstall --no-cache-dir --ignore-installed pycurl==7.43.0.2

Hosting build documentation from a pull request on GutHub
PythonLines of Code : 4License : Strong Copyleft (CC BY-SA 4.0)

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cd doc/sphinx
sphinx-apidoc -f -o source/ ../../pyrpl/
make html

Community Discussions

Trending Discussions on coveralls-python

Show Coverage in github PR

Using python-coveralls from github-actions returns "Could not submit coverage: 422 Client Error"

how to set the pyversions icon on my github readme?

QUESTION

Show Coverage in github PR

Asked 2021-May-30 at 07:30

We run tests on each pull request in github.

It would be very cool if the coverage would be visible if you are looking at the changes of a pull request.

While looking at the diff in the PR review I would like to see which line was covered and which line not.

We use pytest and travis.

I found this: https://github.com/TheKevJames/coveralls-python But AFAIK this shows the coverage reports somewhere else, not in the "Files changed" tab of the PR.

This question is not about reaching a overall coverage of X percent. This question is about seeing which lines where covered and which lines where not covered.
...

ANSWER

Answered 2021-May-27 at 09:56

You can output the code coverage into the README file, this way you will see the code coverage when you are in the "Files changed" tab AND when you access the project's page.

Source https://stackoverflow.com/questions/67482906

QUESTION

Using python-coveralls from github-actions returns "Could not submit coverage: 422 Client Error"

Asked 2021-Jan-12 at 22:53

Coveralls python wrapper (python-coveralls) recently received a major update (2.2.0 -> 3.0.0) and my github-actions workflow is no longer running.

This is the relevant part of my workflow:
...

ANSWER

Answered 2021-Jan-12 at 22:53

You could try adding the service name as state in the release notes and mentioned here: https://github.com/coveralls-clients/coveralls-python/issues/251

Source https://stackoverflow.com/questions/65692711

QUESTION

how to set the pyversions icon on my github readme?

Asked 2018-Aug-25 at 15:46

I'm trying to set my pyversion icon to my github README, similar to this:

I've been trying to reverse engineer the setup from the coveralls-python project.

My .travis.yaml file looks like this:
...

ANSWER

Answered 2017-Nov-15 at 19:40

Ok, the python versions is read from PyPi.

I just needed to add this to my setup.py classifiers:

Source https://stackoverflow.com/questions/47315535

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities
No vulnerabilities reported

Install coveralls-python
You can install using 'pip install coveralls-python' or download it from GitHub, PyPI.
You can use coveralls-python like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support
For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
Find more information at: