⚡️ Speed up method AuthService._add_padding by 17% in PR #11639 (docs-chat-refactor-and-screenshots)#11642
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The optimized code achieves a **16% speedup** through two micro-optimizations in the `_add_padding` method:
## Key Changes
1. **Precomputed padding strings**: A module-level tuple `_PADS = ("", "=", "==", "===", "====")` eliminates repeated string allocations. Instead of computing `"=" * padding_needed` on every call (which allocates a new string), the code now performs a simple tuple lookup `_PADS[padding_needed]`.
2. **Bitwise operation**: Replaced `len(value) % 4` with `len(value) & 3`. Since modulo 4 is equivalent to keeping only the last 2 bits, the bitwise AND operation is faster than the modulo operator in Python.
## Why This Is Faster
**From line profiler data:**
- The return statement dropped from **1148.4 ns/hit** to **1012.3 ns/hit** (~12% faster)
- This improvement comes from avoiding string multiplication and allocation on each call
- The bitwise operation provides a marginal gain in the padding calculation line
**String allocation overhead**: In Python, `"=" * n` creates a new string object each time. By pre-allocating all possible padding strings (only 5 variants exist), the optimized version performs a constant-time array lookup instead of a string multiplication operation.
## Impact on Workloads
This optimization is particularly beneficial when `_add_padding` is called frequently in authentication/token processing flows. The test results show consistent performance improvements across all test cases—from basic padding scenarios to large-scale strings near 1000 characters. Since padding is typically needed for base64 encoding in authentication tokens, services handling many authentication requests will see cumulative benefits from these per-call savings.
The changes preserve exact behavior (including the quirk where strings divisible by 4 get 4 padding characters) and require no updates to calling code.
Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## docs-chat-refactor-and-screenshots #11642 +/- ##
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⚡️ This pull request contains optimizations for PR #11639
If you approve this dependent PR, these changes will be merged into the original PR branch
docs-chat-refactor-and-screenshots.📄 17% (0.17x) speedup for
AuthService._add_paddinginsrc/backend/base/langflow/services/auth/service.py⏱️ Runtime :
16.0 microseconds→13.7 microseconds(best of42runs)📝 Explanation and details
The optimized code achieves a 16% speedup through two micro-optimizations in the
_add_paddingmethod:Key Changes
Precomputed padding strings: A module-level tuple
_PADS = ("", "=", "==", "===", "====")eliminates repeated string allocations. Instead of computing"=" * padding_neededon every call (which allocates a new string), the code now performs a simple tuple lookup_PADS[padding_needed].Bitwise operation: Replaced
len(value) % 4withlen(value) & 3. Since modulo 4 is equivalent to keeping only the last 2 bits, the bitwise AND operation is faster than the modulo operator in Python.Why This Is Faster
From line profiler data:
String allocation overhead: In Python,
"=" * ncreates a new string object each time. By pre-allocating all possible padding strings (only 5 variants exist), the optimized version performs a constant-time array lookup instead of a string multiplication operation.Impact on Workloads
This optimization is particularly beneficial when
_add_paddingis called frequently in authentication/token processing flows. The test results show consistent performance improvements across all test cases—from basic padding scenarios to large-scale strings near 1000 characters. Since padding is typically needed for base64 encoding in authentication tokens, services handling many authentication requests will see cumulative benefits from these per-call savings.The changes preserve exact behavior (including the quirk where strings divisible by 4 get 4 padding characters) and require no updates to calling code.
✅ Correctness verification report:
🌀 Click to see Generated Regression Tests
To edit these changes
git checkout codeflash/optimize-pr11639-2026-02-07T00.09.09and push.