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PyTesttesting~5 mins

pytest-cov setup - Cheat Sheet & Quick Revision

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Recall & Review
beginner
What is pytest-cov used for?
pytest-cov is a plugin for pytest that measures code coverage during test runs. It shows which parts of your code were tested and which were not.
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beginner
How do you install pytest-cov?
You install pytest-cov using pip with the command: pip install pytest-cov.
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beginner
How do you run pytest with coverage reporting?
Run tests with coverage by using: pytest --cov=your_package_name. Replace your_package_name with the folder or module you want to check coverage for.
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intermediate
What does the option --cov-report=term do?
It shows the coverage report directly in the terminal after tests finish, so you can quickly see which lines were covered.
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intermediate
How can you generate an HTML coverage report with pytest-cov?
Use the command: pytest --cov=your_package_name --cov-report=html. This creates a folder named htmlcov with a detailed, easy-to-read coverage report you can open in a browser.
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Which command installs pytest-cov?
Apytest --install-cov
Bpip install pytest-cov
Cpip install coverage
Dpip install pytest
What does pytest --cov=myapp do?
ARuns tests only for the 'myapp' package
BGenerates an HTML report only
CRuns tests and measures coverage for the 'myapp' package
DInstalls coverage for 'myapp'
How do you see coverage results in the terminal?
ACoverage is shown by default
BAdd <code>--show-coverage</code> option
CAdd <code>--coverage-output=console</code> option
DAdd <code>--cov-report=term</code> option
Where does pytest-cov put the HTML report by default?
AIn the <code>htmlcov</code> folder
BIn the root folder
CIn the <code>coverage</code> folder
DIn the <code>reports</code> folder
What must you specify to measure coverage for a specific package?
AThe package name after <code>--cov=</code>
BThe test file name
CThe Python version
DThe pytest version
Explain how to set up pytest-cov to measure and report test coverage for a Python project.
Think about installation, running tests, and viewing coverage.
You got /4 concepts.
    Describe the benefits of using pytest-cov in your testing workflow.
    Consider how coverage helps improve tests.
    You got /4 concepts.

      Practice

      (1/5)
      1. What is the main purpose of using pytest-cov in testing?
      easy
      A. To speed up test execution time
      B. To measure how much of your code is tested by your tests
      C. To automatically fix failing tests
      D. To generate test data automatically

      Solution

      1. Step 1: Recall pytest-cov's core function

        pytest-cov is a plugin that tracks which parts of your code are executed during tests.
      2. Step 2: Eliminate incorrect options

        Only To measure how much of your code is tested by your tests correctly describes coverage measurement, others describe unrelated features.
      3. Final Answer:

        To measure how much of your code is tested by your tests -> Option B
      4. Quick Check:

        pytest-cov measures coverage = A [OK]
      Hint: Remember: cov means coverage, it shows tested code parts [OK]
      Common Mistakes:
      • Confusing coverage with test speed
      • Thinking pytest-cov fixes tests
      • Assuming it generates test data
      2. Which command correctly installs the pytest-cov plugin?
      easy
      A. pip install pytest-cov
      B. pip install pytest_cov
      C. pip install pytestcov
      D. pip install pytest coverage

      Solution

      1. Step 1: Recall the exact package name

        The official package name is 'pytest-cov' with a hyphen.
      2. Step 2: Compare options with correct spelling

        Only pip install pytest-cov matches the correct package name and syntax.
      3. Final Answer:

        pip install pytest-cov -> Option A
      4. Quick Check:

        Correct package name = B [OK]
      Hint: Use hyphen, not underscore or spaces in package name [OK]
      Common Mistakes:
      • Using underscore instead of hyphen
      • Adding spaces in package name
      • Misspelling the package name
      3. What will be the output when running pytest --cov=my_module if all code in my_module is covered by tests?
      medium
      A. Tests will fail automatically
      B. An error saying coverage data not found
      C. No coverage report is shown
      D. A coverage report showing 100% coverage for my_module

      Solution

      1. Step 1: Analyze the pytest --cov command

        The command runs tests and measures coverage for 'my_module'.
      2. Step 2: Determine output for 100% coverage

        If all code is tested, coverage report shows 100% coverage.
      3. Final Answer:

        A coverage report showing 100% coverage for my_module -> Option D
      4. Quick Check:

        Full coverage means 100% report = A [OK]
      Hint: Full coverage means report shows 100% coverage [OK]
      Common Mistakes:
      • Expecting errors when coverage is full
      • Thinking coverage report is hidden by default
      • Assuming tests fail if coverage is 100%
      4. You run pytest --cov=my_module --cov-report=html but no HTML report is generated. What is the most likely cause?
      medium
      A. You forgot to install pytest-cov plugin
      B. You did not specify the module name correctly
      C. The HTML report is generated in a different folder
      D. The tests did not run at all

      Solution

      1. Step 1: Check common reasons for missing HTML report

        pytest-cov generates HTML reports in a folder named 'htmlcov' by default.
      2. Step 2: Understand report location

        The report is generated but may be in a folder you did not check.
      3. Final Answer:

        The HTML report is generated in a different folder -> Option C
      4. Quick Check:

        HTML report folder = C [OK]
      Hint: Check 'htmlcov' folder for HTML report after running tests [OK]
      Common Mistakes:
      • Assuming plugin is not installed without checking
      • Thinking report is shown in terminal only
      • Believing tests must fail to generate report
      5. You want to measure coverage for multiple modules mod1 and mod2 and generate both terminal and HTML reports. Which command is correct?
      hard
      A. pytest --cov=mod1,mod2 --cov-report=term --cov-report=html
      B. pytest --cov=mod1 --cov-report=term --cov=mod2 --cov-report=term
      C. pytest --cov=mod1 mod2 --cov-report=term,html
      D. pytest --cov=mod1 --cov=mod2 --cov-report=term --cov-report=term

      Solution

      1. Step 1: Understand multiple module coverage syntax

        pytest-cov accepts multiple modules separated by commas in a single --cov option.
      2. Step 2: Understand multiple report formats syntax

        Multiple reports are specified by repeating the --cov-report flag, e.g., --cov-report=term --cov-report=html.
      3. Final Answer:

        pytest --cov=mod1,mod2 --cov-report=term --cov-report=html -> Option A
      4. Quick Check:

        Comma for modules, repeat --cov-report = D [OK]
      Hint: Use commas to list modules in one --cov option [OK]
      Common Mistakes:
      • Using multiple --cov options instead of comma separation
      • Combining modules without commas
      • Incorrectly combining report types in one option