Skip to content

⚡️ Speed up method CacheFactory.get_cache_types by 27%#69

Open
codeflash-ai[bot] wants to merge 1 commit intomainfrom
codeflash/optimize-CacheFactory.get_cache_types-mglq41ve
Open

⚡️ Speed up method CacheFactory.get_cache_types by 27%#69
codeflash-ai[bot] wants to merge 1 commit intomainfrom
codeflash/optimize-CacheFactory.get_cache_types-mglq41ve

Conversation

@codeflash-ai
Copy link

@codeflash-ai codeflash-ai bot commented Oct 11, 2025

📄 27% (0.27x) speedup for CacheFactory.get_cache_types in graphrag/cache/factory.py

⏱️ Runtime : 4.49 microseconds 3.54 microseconds (best of 78 runs)

📝 Explanation and details

The optimization replaces list(cls._registry.keys()) with [*cls._registry] (unpacking syntax). This change eliminates the intermediate dict_keys object creation step that occurs with .keys(). When using unpacking syntax [*dict], Python directly iterates over the dictionary's keys without creating the intermediate view object, resulting in fewer function calls and object allocations.

The 26% speedup comes from avoiding the overhead of:

  1. Calling the .keys() method
  2. Creating a dict_keys view object
  3. Passing that view to the list() constructor

The unpacking approach directly constructs the list from the dictionary's key iteration, which is more efficient in CPython's implementation. Both approaches preserve the same iteration order (insertion order in modern Python dictionaries) and produce identical results.

The test results show consistent performance gains across different scenarios (17.9-26.7% faster), indicating this optimization is particularly effective for small to medium-sized registries, which is typical for factory pattern implementations like cache type registration.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 9 Passed
🌀 Generated Regression Tests 2 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
⚙️ Existing Unit Tests and Runtime
Test File::Test Function Original ⏱️ Optimized ⏱️ Speedup
integration/cache/test_factory.py::test_get_cache_types 976ns 834ns 17.0%✅
integration/cache/test_factory.py::test_register_and_create_custom_cache 813ns 539ns 50.8%✅
integration/cache/test_factory.py::test_register_class_directly_works 851ns 652ns 30.5%✅
🌀 Generated Regression Tests and Runtime
from __future__ import annotations

from collections.abc import Callable
from typing import Callable, ClassVar

# imports
import pytest  # used for our unit tests
from graphrag.cache.factory import CacheFactory

# function to test
# Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License


# Dummy PipelineCache for registration (minimal stub)
class PipelineCache:
    pass
from graphrag.cache.factory import CacheFactory

# --- Basic Test Cases ---

def test_get_cache_types_empty_registry():
    """Test get_cache_types returns empty list when no cache types are registered."""
    codeflash_output = CacheFactory.get_cache_types() # 831ns -> 656ns (26.7% faster)

















#------------------------------------------------
from __future__ import annotations

from collections.abc import Callable
from typing import Callable, ClassVar

# imports
import pytest  # used for our unit tests
from graphrag.cache.factory import CacheFactory

# function to test
# Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License


# Dummy PipelineCache class for testing purposes
class PipelineCache:
    pass
from graphrag.cache.factory import CacheFactory

# ------------------- BASIC TEST CASES -------------------

def test_get_cache_types_empty_registry():
    """Test get_cache_types returns empty list when nothing is registered."""
    codeflash_output = CacheFactory.get_cache_types() # 1.01μs -> 860ns (17.9% faster)

To edit these changes git checkout codeflash/optimize-CacheFactory.get_cache_types-mglq41ve and push.

Codeflash

The optimization replaces `list(cls._registry.keys())` with `[*cls._registry]` (unpacking syntax). This change eliminates the intermediate `dict_keys` object creation step that occurs with `.keys()`. When using unpacking syntax `[*dict]`, Python directly iterates over the dictionary's keys without creating the intermediate view object, resulting in fewer function calls and object allocations.

The 26% speedup comes from avoiding the overhead of:
1. Calling the `.keys()` method 
2. Creating a `dict_keys` view object
3. Passing that view to the `list()` constructor

The unpacking approach directly constructs the list from the dictionary's key iteration, which is more efficient in CPython's implementation. Both approaches preserve the same iteration order (insertion order in modern Python dictionaries) and produce identical results.

The test results show consistent performance gains across different scenarios (17.9-26.7% faster), indicating this optimization is particularly effective for small to medium-sized registries, which is typical for factory pattern implementations like cache type registration.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 October 11, 2025 03:36
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Oct 11, 2025
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

⚡️ codeflash Optimization PR opened by Codeflash AI

Projects

None yet

Development

Successfully merging this pull request may close these issues.

0 participants