From 7c9e4accd376395e3feaa149efe715e9616ffd70 Mon Sep 17 00:00:00 2001
From: "codeflash-ai[bot]"
 <148906541+codeflash-ai[bot]@users.noreply.github.com>
Date: Tue, 28 Oct 2025 23:39:45 +0000
Subject: [PATCH] Optimize _ext_use_mathjax
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The optimization eliminates a massive performance bottleneck in the original code by caching model lookups and avoiding redundant iterations.

**What was optimized:**
- **Caching strategy**: Added a one-time cache (`_module_models_map`) that groups models by their top-level module name, stored as a function attribute
- **Selective iteration**: Instead of iterating through ALL models in `HasProps.model_class_reverse_map.values()` for every unique module name (causing O(n×m) complexity), the optimized version directly looks up only the relevant models for each module

**Key performance gains:**
- **Original bottleneck**: Lines showing 704K+ hits iterating through all models and 702K+ `startswith()` checks (61.2% of total time)
- **Optimization result**: Cache built once with 467 iterations, then direct lookups via `module_models_map.get(name)`
- **Runtime improvement**: 41.8ms → 422μs (98x speedup)

**Why this works:**
- The original code repeatedly scanned the entire model registry for each unique module name found in `all_objs`
- The cache groups models by module prefix upfront, converting expensive O(n×m) nested loops into O(n+m) preprocessing + O(1) lookups
- Particularly effective for test cases with many objects but few unique module names (like `test_large_set_with_duplicate_module_names` showing 113% speedup)

**Best for:** Scenarios with large numbers of objects sharing common module prefixes, where the original's redundant full-registry scans become prohibitively expensive.
---
 src/bokeh/embed/bundle.py | 20 ++++++++++++++++++--
 1 file changed, 18 insertions(+), 2 deletions(-)

diff --git a/src/bokeh/embed/bundle.py b/src/bokeh/embed/bundle.py
index b49e63ad836..2b6931feff4 100644
--- a/src/bokeh/embed/bundle.py
+++ b/src/bokeh/embed/bundle.py
@@ -14,6 +14,8 @@
 from __future__ import annotations
 
 import logging # isort:skip
+from bokeh.core.has_props import HasProps
+
 log = logging.getLogger(__name__)
 
 #-----------------------------------------------------------------------------
@@ -217,7 +219,19 @@ def bundle_for_objs_and_resources(objs: Sequence[HasProps | Document] | None, re
 
 def _query_extensions(all_objs: set[HasProps], query: Callable[[type[HasProps]], bool]) -> bool:
     names: set[str] = set()
+    # Cache models by their top-level module for faster lookup
+    # Build module-prefix=>model-list only once for performance
+    if not hasattr(_query_extensions, "_module_models_map"):
+        module_models_map: dict[str, list[type[HasProps]]] = {}
+        for model in HasProps.model_class_reverse_map.values():
+            module_name = model.__module__
+            top_module = module_name.split(".", 1)[0]
+            module_models_map.setdefault(top_module, []).append(model)
+        _query_extensions._module_models_map = module_models_map
+    else:
+        module_models_map = _query_extensions._module_models_map
 
+    # Only process unique top-level modules from all_objs
     for obj in all_objs:
         if hasattr(obj, "__implementation__"):
             continue
@@ -228,8 +242,10 @@ def _query_extensions(all_objs: set[HasProps], query: Callable[[type[HasProps]],
             continue
         names.add(name)
 
-        for model in HasProps.model_class_reverse_map.values():
-            if model.__module__.startswith(name):
+        # Directly iterate relevant module's models only
+        models = module_models_map.get(name)
+        if models:
+            for model in models:
                 if query(model):
                     return True