Saravanan666/pypi-org huggingface dataset:
Package: coveragecheck
coveragecheckcoveragecheck is a tool that reports lines of code from diff that are not covered (or excluded) in project coverage report.
The intent is for this tool to be invoked in a continuous integration pipeline to enforce that merging code has full statement
coverage.The tool is compatible with any diff in unified diff format, and a coverage report formatted as a JSON dictionary similar to the
output ofcoverage.py. Example usage is shown below.InstallingThe simplest way to install is to use pip:pip install coveragecheckThe tool can also be installed by cloning this repository and putting coveragecheck.py on your path:git clone https://github.com/jdn5126/CoverageChecker.gitContinuous Integration PipelineFor an example script for a continuous integration pipeline, check out the GitHub Actions configured for this repository in.github/workflows/coverage_check.yml. These steps should translate to any continuous integration application/automation server.ExampleThe example directory, which contains a simple Python library and test file, allows us to testcoveragecheck:Add a new class toexample/lib.pywithout any test coverage:class Bar(object):
    def __init__(self, name):
        self.name = name

    def getName(self):
        return self.nameGenerate the coverage report usingcoverage.py:$ cd example
$ coverage run -m unittest discover
$ coverage jsonInvokecoveragecheckto show missing coverage:$ git diff | coveragecheck -r coverage.json
Failure
Files missing coverage:

example/lib.py:
16       self.name = name
19       return self.nameAdd coverage totest.py:from lib import Foo, Bar
...

class TestBarCoverage(unittest.TestCase):
    def test_bar(self):
        print( 'TestBarCoverage: test_bar')
        bar = Bar("bar")
        assert bar.getName() == "bar"Regenerate coverage report as shown above, then invokecoveragecheck:$ git diff | coveragecheck.py -r coverage.json
Success!ContributingContributions and issues are welcome!To get started, simply install the required Python dependencies using:pip install -r requirements.txt
Package: coverage-diff
Coverage-diffShow / check coverage only for changed filesExampleShow coverage for all changed files (except deleted & renamed)
between current branch and master with numbers of missing lines.coverage-diffmasterHEAD--show-missingOptionsusage: main.py [-h] [--diff-filter DIFFS] [--include-regexp REGEXP]
               [--full-branches BRANCH] [--show-missing] [--show-missing-full]
               [branch1] [branch2]

Show coverage only for changed files

positional arguments:
  branch1               first branch for git diff (default: origin/master)
  branch2               second branch for git diff (default: HEAD)

optional arguments:
  -h, --help            show this help message and exit
  --diff-filter DIFFS   diff types for include files for coverage (more info
                        at git diff's --diff-filter option) (default: dr)
  --include-regexp REGEXP
                        filter changed files by regexp (default: \.py$)
  --full-branches BRANCH
                        show full coverage for specified branches (delimited
                        by comma) (default: master)
  --show-missing, -m    show missed lines for changed files (default: False)
  --show-missing-full, -mf
                        show missed lines for --full-branches (default: False)
  --fail-under PERCENT, -f PERCENT
                        override minimum coverage percent (0 - disabled)
                        (default: None)
  --current-branch BRANCH, -c BRANCH
                        current branch name from CI (used for compare with
                        --full-branches); if missed - will be used branch1
                        (default: None)
  --fork-point, -fp     compare branch1 with fork point from branch2 (instead
                        of last commit at branch2) (default: False)
Package: coverage_enable_subprocess
This package installs a pth file that enables the coveragepy process_startup
feature in this python prefix/virtualenv in subsequent runs.See:http://nedbatchelder.com/code/coverage/subprocess.htmlDemo:$ virtualenv tmpenv
$ . tmpenv/bin/activate
$ pip install coverage-enable-subprocess
$ touch .coveragerc
$ export COVERAGE_PROCESS_START=$PWD/.coveragerc
$ echo 'print("oh, hi!")' > ohhi.py
$ python ohhi.py
oh, hi!

$ coverage report
Name                              Stmts   Miss  Cover
-----------------------------------------------------
/etc/python2.6/sitecustomize.py       5      1    80%
ohhi.py                               1      0   100%
tmpenv/lib/python2.6/site.py        433    392     9%
-----------------------------------------------------
TOTAL                               439    393    10%For projects that need to cd during their test runs, and run many processes in parallel,
I ensure a$TOPvariable is exported, and I use this .coveragerc:[run]
parallel = True
branch = True
data_file = $TOP/.coverage

[report]
exclude_lines =
    # Have to re-enable the standard pragma
    \#.*pragma:\s*no.?cover

    # we can't get coverage for functions that don't return:
    \#.*never returns
    \#.*doesn't return

    # Don't complain if tests don't hit defensive assertion code:
    ^\s*raise Impossible\b
    ^\s*raise AssertionError\b
    ^\s*raise NotImplementedError\b
    ^\s*return NotImplemented\b

    # Don't complain if tests don't hit re-raise of unexpected errors:
    ^\s*raise$

    # if main is covered, we're good:
    ^\s*exit\(main\(\)\)$
show_missing = True

[html]
directory = $TOP/coverage-html

# vim:ft=dosini
Package: coverage_filter
Coverage filterAllows developers to indicate which code they are trying to test when using
coverage tools.WarningThis is just a proof of concept. The API will likely change as I
receive feedback. There are also no unit tests, or other code quality control
methods in place.  If you wish to use this code, please make a copy for
yourself, so my changes won’t break your build.ExampleExample code to be tested: (intarget.py)def target(self):
    return target_inner()

def target_inner(self):
    return 42Example unit test: (intest_target.py)from coverage_filter import CoverageFilter
from target import target

@CoverageFilter('target.py:target')
def test_target(self):
    assert target() == 42For more information, check out my blog on the topic.
Package: coverage-fixpaths
coverage-fixpathsA small CLI tool that automatically fixes paths in Cobertura coverage and JUnit test reports.Usage$ coverage-fixpaths --source /path/to/source/files --type coverage coverage.xml
$ coverage-fixpaths --source /path/to/source/files --type junit report.xmlThis tries to match the filenames incoverage.xmlto the actual files in/path/to/source/files.
Any common prefix in the coverage report is replaced with a subdirectory of/path/to/source/filesthat best matches the file structure incoverage.xml. Files that do not exist in the source directory
are removed from the coverage report.The option--sourcedefaults to.(i.e. the current working directory).Installationpip install coverage-fixpathsorconda install -c conda-forge coverage-fixpaths
Package: coverage-lcov
coverage-lcovcoverage-lcovis a simple CLI for converting.coveragefiles generated byCoverage.pyto theLCOVformat.CreditsThis tools is based on code fromCoverage.pyThis tool is forked fromcoveragepy-lcovbyChay Choongto add support for older python versions.InstallationUsing pip:pipinstallcoverage-lcovUsage# If the .coverage file is in your current working directorycoverage-lcov# Point to a different .coverage file pathcoverage-lcov--data_file_pathexample/.coverage# Write the output to a different file pathcoverage-lcov--output_file_pathbuild/lcov.info# Use relative paths in the LCOV outputcoverage-lcov--relative_pathOptionsUsage: coverage-lcov [OPTIONS]

Options:
  --data_file_path TEXT    Path to .coverage file
  --output_file_path TEXT  lcov.info output file path
  --config_file TEXT       Path to .coveragerc file
  --relative_path          Use relative path in LCOV output
  --preview                Preview LCOV output
  --help                   Show this message and exit.Further readingLCOV formathttps://github.com/nedbat/coveragepy/issues/587https://github.com/chaychoong/coveragepy-lcov
Package: coverage-plot
Coverage PlotA library and a script to plot Python code coverage results.Getting StartedRun the tests for your project with the test coverage, and convert the coverage results to a JSON or XML format. As a result, you should find a coverage.json or coverage.xml file in your current working directory.coverage run -m pytest
coverage xml  # or coverage jsonInstall the package.pip install coverage-plotRun the coverage visualization. The script opens the browser with the visualization results.coverage-plot coverage.xml
Package: coveragepy-lcov
coveragepy-lcovcoveragepy-lcovis a simple CLI for converting.coveragefiles generated byCoverage.pyto theLCOVformat.CreditsThis tools is based on code fromCoverage.py.InstallationUsing pip:pipinstallcoveragepy-lcovUsage# If the .coverage file is in your current working directorycoveragepy-lcov# Point to a different .coverage file pathcoveragepy-lcov--data_file_pathexample/.coverage# Write the output to a different file pathcoveragepy-lcov--output_file_pathbuild/lcov.info# Use relative paths in the LCOV outputcoveragepy-lcov--relative_pathOptionsUsage: coveragepy-lcov [OPTIONS]

Options:
  --data_file_path TEXT    Path to .coverage file
  --output_file_path TEXT  lcov.info output file path
  --config_file TEXT       Path to .coveragerc file
  --relative_path          Use relative path in LCOV output
  --preview                Preview LCOV output
  --help                   Show this message and exit.Further readingLCOV formathttps://github.com/nedbat/coveragepy/issues/587
Package: coverage-python-version
Overviewcoverage_python_versionis acoverage.pyplugin that provides a very
basic means for you to exclude code from your coverage measurements based on
the version of Python that it is executed on.UsageAddcoverage_python_versiontopluginsoption in therunsection
of yourcoverage.pyconfiguration.Use the comment# pragma: PY2to notate blocks of code that should be
measured under Python 2, and# pragma: PY3to notate blocks for Python
3.Licensecoverage_python_versionis released under the terms of theMIT License.
Package: coverage-pyver-pragma
Plugin for Coverage.py to selectively ignore branches depending on the Python version.DocsTestsPyPIAnacondaActivityQAOtherInstallationcoverage_pyver_pragmacan be installed from PyPI or Anaconda.To install withpip:$python-mpipinstallcoverage_pyver_pragmaTo install withconda:First add the required channels$condaconfig--addchannelshttps://conda.anaconda.org/conda-forge$condaconfig--addchannelshttps://conda.anaconda.org/domdfcodingThen install$condainstallcoverage_pyver_pragma
Package: coverage-rich
coverage-richInstallationpip install coverage-richUsagecoveragerun-mpytest
coverage-richreportconfigurationcoverage-richwill send a failure code if there is insufficient total coverage, this is configurable by setting thefail-undervalue.pyproject.toml[tool.coverage_rich]fail-under=0# default 80.coverage_rich,coverage_rich.ini[coverage_rich]fail-under=1setup.cfg[tool.coverage_rich]fail-under=22Examplescoverage-rich(left) compared tocoverage report -m(right)Licensecoverage-richis distributed under the terms of theMITlicense.
Package: coverage-sh
Coverage.shACoverage.pyplugin to measure code coverage of shell (sh or bash) scripts
executed from python.Installationpipinstallcoverage-shUsageIn yourpyproject.toml, set[tool.coverage.run]plugins=["coverage_sh"]and runcoveragerunmain.py
coveragecombine
coveragehtmlto measure coverage of all shell scripts executed via
thesubprocessmodule, e.g.:subprocess.run(["bash","test.sh"])The resulting coverage is then displayed alongside the coverage of the python files:CaveatsThe plugin works by patching thesubprocess.Popenclass to set the "ENV" and "BASH_ENV" environment variables before
execution, to source a helper script which enables tracing. This approach comes with a few caveats:It will only cover shell scripts that are executed via the subprocess module.Only bash and sh are supportedCover-Always ModeWhen using the subprocess modue is not an option, coverage-sh can operate in "cover-always-mode", which is activated by
setting[tool.coverage.coverage_sh]cover_always=truein thepyproject.toml. In this mode, Coverage.sh will not respect thecoverage.start()andcoverage.stop()calls
and instead cover every shell script executed after the plugin gets loaded until the main process is finished.
This mode is also incompatible with the popularpytest-covbut works with
starting pytest from coverage , e.g.:coveragerun-mpytestarg1arg2arg3LicenseLicensed under theMIT License.
Package: coveragespace
OverviewThe official command-line client forThe Coverage Space.SetupRequirementsPython 3.7+InstallationInstall this tool globally withpipx(or pip):$ pipx install coveragespaceor add it to yourPoetryproject:$ poetry add coveragespaceUsageTo update the value for a test coverage metric:$ coveragespace update <metric>where<metric>is one of:unitintegrationoverallFor example, after running unit tests with code coverage enabled:$ coveragespace update unitwhich will attempt to extract the current coverage data from your project directory and compare that with the last known value. The coverage value can also be manually specified:$ coveragespace update <metric> <value>
Package: coverage-threshold
coverage thresholdA command line tool for checking coverage reports against configurable coverage minimums.
Currently built for use around python'scoverageInstallationpip install coverage-thresholdalso recommended:pip install coverageUsageTypical execution:coveragerun-mpytesttests/# or any test runner herecoveragejson
coverage-thresholdcli command options:> coverage-threshold --help
usage: coverage-threshold [-h] [--line-coverage-min LINE_COVERAGE_MIN]
                          [--branch-coverage-min BRANCH_COVERAGE_MIN]
                          [--combined-coverage-min COMBINED_COVERAGE_MIN]
                          [--file-line-coverage-min FILE_LINE_COVERAGE_MIN]
                          [--file-branch-coverage-min FILE_BRANCH_COVERAGE_MIN]
                          [--file-combined-coverage-min FILE_COMBINED_COVERAGE_MIN]
                          [--coverage-json COVERAGE_JSON] [--config CONFIG]

A command line tool for checking coverage reports against configurable coverage minimums

optional arguments:
  -h, --help            show this help message and exit
  --line-coverage-min LINE_COVERAGE_MIN
                        minimum global average line coverage threshold
  --branch-coverage-min BRANCH_COVERAGE_MIN
                        minimum global average branch coverage threshold
  --combined-coverage-min COMBINED_COVERAGE_MIN
                        minimum global average combined line and branch coverage threshold
  --file-line-coverage-min FILE_LINE_COVERAGE_MIN
                        the line coverage threshold for each file
  --file-branch-coverage-min FILE_BRANCH_COVERAGE_MIN
                        the branch coverage threshold for each file
  --file-combined-coverage-min FILE_COMBINED_COVERAGE_MIN
                        the combined line and branch coverage threshold for each file
  --coverage-json COVERAGE_JSON
                        path to coverage json (default: ./coverage.json)
  --config CONFIG       path to config file (default: ./pyproject.toml)Configthe current expected config file format istomlthe default config file used ispyproject.tomlbut and alternative path can be specified with--configexample config:[coverage-threshold]line_coverage_min=95file_line_coverage_min=95branch_coverage_min=50[coverage-threshold.modules."src/cli/"]file_line_coverage_min=40[coverage-threshold.modules."src/cli/my_command.py"]file_line_coverage_min=100[coverage-threshold.modules."src/lib/"]file_line_coverage_min=100file_branch_coverage_min=100[coverage-threshold.modules."src/model/"]file_line_coverage_min=100[coverage-threshold.modules."src/__main__.py"]file_line_coverage_min=0Each string key inconfig.modulesis treated as a path prefix, where the longest matching prefix is used to configure the coverage thresholds for each file
Package: coverage-tools
This package is a collection of command line tools forcoverageto produce verbose reports
and/or stats measurements of your test coverage.Available tools include:coverage-annotate- prints the source code and prefixes each line with + or -
depending on wheather it was executed during testing or not;coverage-combine- combines several .coverage data files into one;coverage-diff- compares the annotated sources from two coverage data files to
highlight the difference in test coverage between them;coverage-report- report on arbitrary file(s);pickle2json- convert .coverage files from pickle to JSON format; Needs
coverage version 4.0 at least;InstallationUse pip to install from PyPI:pip install coverage-toolsChangelogVersion 0.0.4New toolcoverage-report;New toolpickle2json;Version 0.0.3New options forcoverage-annotate-N - show line numbers-i - list of files to include in the report-e - list of files to exclude from the report–includeand–excludesupport shell globs. If none is specified all files in
the coverage data file are shown. The include list is evaluated first, then the
exclude list is evaluated.New options forcoverage-diff-N - show line numbers-i - list of files to include in the report-e - list of files to exclude from the reportThe same limitations apply to all options.New toolcoverage-combinewhich supports shell globs.Version 0.0.2First release on PyPIContributingSource code and issue tracker are athttps://github.com/atodorov/coverage-tools
Package: coveralls
Test Status:Version Info:Compatibility:Misc:coveralls.iois a service for publishing your coverage stats online. This
package provides seamless integration withcoverage.py(and thuspytest,nosetests, etc…) in your Python projects:pip install coveralls
coverage run --source=mypkg -m pytest tests/
coverallsFor more information and usage instructions, see ourdocumentation.Version CompatibilityAs of version 2.0, we have dropped support for end-of-life’d versions of Python
and particularly old version of coverage. Support for non-EOL’d environments is
provided on a best-effort basis and will generally be removed once they make
maintenance too difficult.If you’re running on an outdated environment with a new enough package manager
to support version checks (seethe PyPA docs), then installing the latest
compatible version should do the trick. If you’re even more outdated than that,
please pin tocoveralls<2.If you’re in an outdated environment and experiencing an issue, feel free to
open a ticket – but please mention your environment! I’m willing to backport
fixes to the 1.x branch if need be.
Package: coveralls-check
coveralls-checkA small helper to checkhttps://coveralls.iofor a given commit hash.Development takes place here:https://github.com/cjw296/coveralls-check/UsageThis was designed for use with Travis CIBuild Stageswhere you want
to check code coverage before doing a deployment or release.A sample.travis.ymlusing it is as follows:language: python

sudo: false

env:
  secure: "..."

python:
  - "2.7"
  - "3.6"

install:
  - "pip install --upgrade pip setuptools"
  - "pip install -Ue .[test]"

script: coverage run --source ... -m py.test

after_success:
  - "COVERALLS_PARALLEL=true coveralls"

jobs:
  include:

    - stage: coverage
      python: 3.6
      after_success: skip

      install: "pip install -U coveralls-check"
      script: "coveralls-check $TRAVIS_COMMIT --parallel-build-number $TRAVIS_BUILD_NUMBER --repo-token $COVERALLS_REPO_TOKEN"TheCOVERALLS_REPO_TOKENis set in thesecuresection, which can be obtained using:travis encrypt COVERALLS_REPO_TOKEN=(your coveralls repo token)Changes1.2.1 (11 Jul 2018)Fix packaging and copyright.1.2.0 (11 Jul 2018)Add support for Coveralls parallel build stuff.1.1.0 (14 Sep 2017)Add retrying logic to wait up to 5 minutes, by default, for coveralls
coverage data to be ready.1.0.1 (17 Aug 2017)Fix packaging.1.0.0 (17 Aug 2017)Initial release
Package: coveralls-merge
Coveralls-mergeGet coverage data on Python C extensions, on both the python side and
the C side of the api.  The package combines the output fromcoverage-lcovandcoverallsto upload your coverage data tocoveralls.io.This only supportstravis-ci.UsageSetup coveralls, and make sure that it’s working with coveralls.io for
the python portion. Then, to add c coverage, add a few lines to your
.travis.yml:python:
  - 2.7

install:
    # install lcov
  - "sudo apt-get -qq install lcov"
    # install test runners, coveralls, and coveralls-merge
  - "pip install coveralls nose coveralls-merge"
    # install the lcov parser
  - "gem install coveralls-lcov"

script:
  - coverage erase
  - python setup.py clean
  # build, using coverage flag
  - CFLAGS="-coverage" python setup.py build_ext --inplace

  # run your tests, with coverage as normal
  - coverage run -m nose Tests/test_*.py

after_success:
  # combine and generate json
  - lcov --capture --directory . -b . --output-file coverage.info
  - coveralls-lcov -v -n coverage.info > coverage.c.json

  # upload
  - coveralls-merge coverage.c.jsonChangelog0.0.3 (2018-01-25)Strip parameter to strip leading directories in site-packages from path0.0.2 (2014-07-30)Requests fixDoc Changes0.0.1 (2014-07-30)Initial upload
Package: coverbot
CoverBotBriefA monitor and execute stop loss trade package with Shioaji API
31 : IOC部份成交剩餘取消
51 : 價格穩定機制, 部份成交剩餘取消A3 : 與控管基準價差距達 30% 以上
14 : 該筆委託已成交或委託單序號錯誤
Package: cover_grabber
Simple utility to recurisvely traverse directory of media files (MP3, OGG, FLAC) and download album cover art.
Very helpful if you have hundreds of thoursands of sub-directories of media files.## Home Pagehttps://sourceforge.net/projects/covergrabber/## Source Codehttps://github.com/thedonvaughn/cover_grabber## Requirements
* Python
* Mutagen python module## Install1.) Install python-mutagenDebian/Ubuntu: apt-get install python-mutagenFedora: yum install python-mutagenArch: pacman -Sy mutagen2.) Install covergrabber:$ python setup.py install## Howto Use$ covergrabber <Media directory> [options]For example:$ covergrabber “/home/jvaughn/Music”## For Help$ covergrabber -h2011 - Jayson Vaughn (vaughn.jayson@gmail.com)
Package: coverpy
# coverpy
[![Build Status](https://travis-ci.org/fallenshell/coverpy.svg?branch=master)](https://travis-ci.org/fallenshell/coverpy) [![Build Status](https://travis-ci.org/fallenshell/coverpy.svg?branch=develop)](https://travis-ci.org/fallenshell/coverpy)Small wrapper for the iTunes API; mostly for fetching album covers.Will soon be transferred over to Mxious, as it was built for it.Docs need to be done, I know. Been busy.## Install
This library requires Python 3.0+. It might work, but proceed with caution.pip install coverpyFor development installs:make install## Testing
We have a Travis CI instance that unit tests automatically on commits. To run code coverage tests and unit tests, run:make test## Usage
Usage is very simple:# Instance CoverPy
coverpy = coverpy.CoverPy()
# Set a limit. There is a default (1), but I set it manually to showcase usage.
limit = 1
# Get results. Returns a Result object.
result = coverpy.get_cover(“OK Computer”, limit)# Set a size for the artwork (first parameter) and get the result url.
print result.artwork(100)