⚡️ Speed up function are_events_compatible by 176%#795
Open
codeflash-ai[bot] wants to merge 1 commit into
Open
⚡️ Speed up function are_events_compatible by 176%#795codeflash-ai[bot] wants to merge 1 commit into
are_events_compatible by 176%#795codeflash-ai[bot] wants to merge 1 commit into
Conversation
The optimized code achieves a **175% speedup** by eliminating expensive operations and reducing memory allocations through three key optimizations: **1. Early Exit Strategy** - **Original**: Always checks `any(e is None for e in events)` which scans the entire list even when the first element is None - **Optimized**: Uses `if not events` for empty lists and checks `events[0] is None` immediately, avoiding unnecessary iteration **2. Single-Pass Validation** - **Original**: Creates two intermediate data structures (`any()` generator + `frame_ids` list) and performs two complete list traversals - **Optimized**: Uses one `for` loop that checks both None values and frame_id equality simultaneously, eliminating the need for intermediate collections **3. Reduced Memory Pressure** - **Original**: Allocates a `frame_ids` list containing all frame_id values before comparison - **Optimized**: Stores only `first_id` and compares directly during iteration, avoiding list allocation entirely **Performance Impact by Test Case:** - **Best gains**: Large lists with early mismatches (4837% faster for alternating frame_ids) because the optimized version exits immediately on the first mismatch - **Consistent gains**: All compatible scenarios show 160-220% speedup due to eliminated allocations - **Edge case**: Large lists with None elements show slight regression (-12 to -17%) due to different iteration patterns, but this is rare and the overall gain is substantial **Function Usage Context:** Based on `compute_events_latency()` calling this function with just 2 events, this optimization is particularly valuable since it's likely called frequently in event processing pipelines where latency calculations are performance-critical.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
📄 176% (1.76x) speedup for
are_events_compatibleininference/core/interfaces/stream/watchdog.py⏱️ Runtime :
1.02 milliseconds→371 microseconds(best of47runs)📝 Explanation and details
The optimized code achieves a 175% speedup by eliminating expensive operations and reducing memory allocations through three key optimizations:
1. Early Exit Strategy
any(e is None for e in events)which scans the entire list even when the first element is Noneif not eventsfor empty lists and checksevents[0] is Noneimmediately, avoiding unnecessary iteration2. Single-Pass Validation
any()generator +frame_idslist) and performs two complete list traversalsforloop that checks both None values and frame_id equality simultaneously, eliminating the need for intermediate collections3. Reduced Memory Pressure
frame_idslist containing all frame_id values before comparisonfirst_idand compares directly during iteration, avoiding list allocation entirelyPerformance Impact by Test Case:
Function Usage Context:
Based on
compute_events_latency()calling this function with just 2 events, this optimization is particularly valuable since it's likely called frequently in event processing pipelines where latency calculations are performance-critical.✅ Correctness verification report:
⚙️ Existing Unit Tests and Runtime
inference/unit_tests/core/interfaces/stream/test_watchdog.py::test_are_events_compatible_when_empty_event_giveninference/unit_tests/core/interfaces/stream/test_watchdog.py::test_are_events_compatible_when_events_related_to_different_frames_giveninference/unit_tests/core/interfaces/stream/test_watchdog.py::test_are_events_compatible_when_events_related_to_the_same_frame_giveninference/unit_tests/core/interfaces/stream/test_watchdog.py::test_are_events_compatible_when_no_events_given🌀 Generated Regression Tests and Runtime
To edit these changes
git checkout codeflash/optimize-are_events_compatible-miqqaqcgand push.