⚡️ Speed up function extract_bucket_and_prefix_from_gcs_path by 9%
#37
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📄 9% (0.09x) speedup for
extract_bucket_and_prefix_from_gcs_pathingoogle/cloud/aiplatform/utils/__init__.py⏱️ Runtime :
102 microseconds→93.4 microseconds(best of274runs)📝 Explanation and details
The optimization replaces the
split("/", 1)approach with a more efficientfind("/")method for parsing the bucket and prefix from GCS paths.Key changes:
gcs_path.split("/", 1)which creates a list and requires indexing operations, the code now usesgcs_path.find("/")to locate the first slash positiongcs_path[:slash_idx]andgcs_path[slash_idx+1:]) instead of list operationslen(gcs_parts) == 1check by using the slash index directlyWhy it's faster:
str.find()is more efficient thanstr.split()for finding a single delimiter - it stops at the first occurrence and returns an index rather than creating a new list objectPerformance characteristics:
The optimization shows the best improvements for "bucket-only" cases (15-42% faster) where no slash is found, since it avoids unnecessary list creation entirely. For paths with prefixes, gains are more modest (2-10% faster) but still consistent. The approach is particularly effective for simple bucket names and paths without complex prefix structures, which are common in GCS usage patterns.
✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
To edit these changes
git checkout codeflash/optimize-extract_bucket_and_prefix_from_gcs_path-mgkkw24dand push.