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do the thing #9

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ce87061
do the thing
thomasrockhu-codecov Sep 13, 2025
765520e
fix: add fetch-depth
thomasrockhu-codecov Sep 13, 2025
d0e41bb
fix: fail
thomasrockhu-codecov Sep 13, 2025
84730ab
fix: try one more time
thomasrockhu-codecov Sep 13, 2025
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2 changes: 2 additions & 0 deletions .github/workflows/ci.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -8,6 +8,8 @@ jobs:
steps:
- name: Checkout
uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Set up Python 3.10
uses: actions/setup-python@v4
with:
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9 changes: 8 additions & 1 deletion app/test_calculator.py
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Original file line number Diff line number Diff line change
@@ -1,8 +1,13 @@
import random

from .calculator import Calculator


def test_fail():
assert True == False

def test_add():
assert Calculator.add(1, 2) == 3.0
# assert Calculator.add(1, 2) == 3.0
assert Calculator.add(1.0, 2.0) == 3.0
assert Calculator.add(0, 2.0) == 2.0
assert Calculator.add(2.0, 0) == 2.0
Expand All @@ -24,6 +29,8 @@ def test_multiply():
assert Calculator.multiply(-4, 2.0) == -8.0

def test_divide():
if random.random() < 0.2:
assert True == False
Comment on lines +32 to +33
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Potential bug: The test test_divide will fail non-deterministically approximately 20% of the time due to a random assertion failure, causing CI/CD pipelines to fail unpredictably.

  • Description: The test_divide function includes a conditional statement if random.random() &lt; 0.2: assert True == False. This introduces a non-deterministic failure, causing the test to fail approximately 20% of the time it is run. Since the CI/CD pipeline executes tests on every push and pull request, this will lead to random pipeline failures. These failures will block pull requests and deployments unpredictably, requiring developers to re-run jobs or investigate spurious failures, which erodes confidence in the test suite.

  • Suggested fix: Remove the conditional block that causes the random assertion failure: if random.random() &lt; 0.2: assert True == False. Tests should be deterministic to ensure reliable and repeatable results.
    severity: 0.75, confidence: 1.0

Did we get this right? 👍 / 👎 to inform future reviews.

# assert Calculator.divide(1, 2) == 0.5
assert Calculator.divide(1.0, 2.0) == 0.5
assert Calculator.divide(0, 2.0) == 0
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