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Informational 15 Bitcoin

scripted-diff: replace remaining Python test equality asserts

Public commit record

What the developer wrote

Authored by Lőrinc

83/100 · Strong
scripted-diff: replace remaining Python test equality asserts

Some Python functional tests still use plain `assert x == y`.
The earlier commits convert the ambiguous assert patterns by hand, so this commit can rewrite the remaining safe cases mechanically.
The verify script excludes `wallet_bumpfee.py`, `test_framework/netutil.py`, and `test_framework/authproxy.py`, which still contain assert forms that the plain line-based substitution would misidentify.

-BEGIN VERIFY SCRIPT-
perl -pi -e 's/^(\s*)assert (.+?) == ([^,#]+?)$/\1assert_equal(\2, \3)/' $(git ls-files -- 'test/functional' \
':(exclude)test/functional/wallet_bumpfee.py' ':(exclude)test/functional/test_framework/netutil.py' ':(exclude)test/functional/test_framework/authproxy.py')
-END VERIFY SCRIPT-
✓ Specific, descriptive subject✓ Names a concrete action or component✓ Provides detailed explanatory context✓ Mentions testing or verification
The short version

What changed, and why it matters

This commit is a bulk cleanup of Bitcoin Core's Python functional tests. It mechanically replaces plain `assert x == y` statements with a project-specific `assert_equal(x, y)` helper. The change only affects test code, not the Bitcoin node software that users run, so it cannot directly impact live Bitcoin operations, wallets, or consensus. It improves the quality of test failure messages but introduces no security vulnerability and fixes no exploitable bug.

Recommended action

No security action required. Treat as a normal code-quality/test-maintenance commit. Reviewers may optionally verify that the excluded files were correctly left untouched and that no runtime semantics changed (e.g., `assert_equal` is defined and raises AssertionError on mismatch, matching the prior behavior).

Security signals we found

No strong security signals were identified.

Risk score

Why this scored 15/100

Our methodology →
Potential impact 0/30
Exploitability 0/25
Stealth signal 0/15
Affected reach 0/15
Confidence 10/10
Evidence quality 5/5
Human-validated context

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