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@codeflash-ai codeflash-ai bot commented Aug 5, 2025

⚡️ This pull request contains optimizations for PR #553

If you approve this dependent PR, these changes will be merged into the original PR branch feat/markdown-read-writable-context.

This PR will be automatically closed if the original PR is merged.


📄 53% (0.53x) speedup for CodeStringsMarkdown.file_to_path in codeflash/models/models.py

⏱️ Runtime : 22.7 microseconds 14.8 microseconds (best of 33 runs)

📝 Explanation and details

The optimization achieves a 52% speedup by eliminating repeated attribute lookups through a simple but effective change: storing self._cache in a local variable cache at the beginning of the method.

Key optimization:

  • Reduced attribute access overhead: Instead of accessing self._cache multiple times (3-4 times in the original), the optimized version accesses it once and stores it in a local variable. In Python, local variable access is significantly faster than attribute access since it avoids the overhead of attribute resolution through the object's __dict__.

Performance impact by operation:

  • The cache.get("file_to_path") call becomes ~3x faster (from 14,423ns to 1,079ns per hit)
  • Dictionary assignments and returns also benefit from faster local variable access
  • Total runtime drops from 22.7μs to 14.8μs

Best suited for:
Based on the test results, this optimization is particularly effective for scenarios with frequent cache lookups, showing 48-58% improvements in basic usage patterns. The optimization scales well regardless of the code_strings content size since the bottleneck was in the cache access pattern, not the dictionary comprehension itself.

This is a classic Python micro-optimization that leverages the performance difference between local variables (stored in a fast array) versus instance attributes (requiring dictionary lookups).

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 6 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 75.0%
🌀 Generated Regression Tests and Runtime
from __future__ import annotations

from typing import Any

# imports
import pytest  # used for our unit tests
from codeflash.models.models import CodeStringsMarkdown
from pydantic import BaseModel, PrivateAttr


class CodeString(BaseModel):
    file_path: Any
    code: str
from codeflash.models.models import CodeStringsMarkdown

# unit tests

# ------------- Basic Test Cases -------------

def test_empty_code_strings_returns_empty_dict():
    """Test that an empty code_strings list returns an empty dict."""
    csm = CodeStringsMarkdown(code_strings=[])
    codeflash_output = csm.file_to_path(); result = codeflash_output # 12.5μs -> 8.44μs (48.6% faster)


















def test_code_strings_contains_non_CodeString():
    """Test that code_strings with non-CodeString objects raises AttributeError."""
    csm = CodeStringsMarkdown(code_strings=[{"file_path": "foo.py", "code": "abc"}])
    with pytest.raises(AttributeError):
        csm.file_to_path()
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
from __future__ import annotations

from typing import Any

# imports
import pytest  # used for our unit tests
from codeflash.models.models import CodeStringsMarkdown
from pydantic import BaseModel, PrivateAttr


# Minimal CodeString class for testing purposes
class CodeString(BaseModel):
    file_path: Any
    code: str
from codeflash.models.models import CodeStringsMarkdown

# -------------------------------
# UNIT TESTS FOR file_to_path
# -------------------------------

# 1. BASIC TEST CASES

def test_empty_code_strings_returns_empty_dict():
    """Test that an empty code_strings list returns an empty dict."""
    md = CodeStringsMarkdown(code_strings=[])
    codeflash_output = md.file_to_path(); result = codeflash_output # 10.2μs -> 6.41μs (58.4% faster)

To edit these changes git checkout codeflash/optimize-pr553-2025-08-05T00.25.17 and push.

Codeflash

… (`feat/markdown-read-writable-context`)

The optimization achieves a **52% speedup** by eliminating repeated attribute lookups through a simple but effective change: storing `self._cache` in a local variable `cache` at the beginning of the method.

**Key optimization:**
- **Reduced attribute access overhead**: Instead of accessing `self._cache` multiple times (3-4 times in the original), the optimized version accesses it once and stores it in a local variable. In Python, local variable access is significantly faster than attribute access since it avoids the overhead of attribute resolution through the object's `__dict__`.

**Performance impact by operation:**
- The `cache.get("file_to_path")` call becomes ~3x faster (from 14,423ns to 1,079ns per hit)
- Dictionary assignments and returns also benefit from faster local variable access
- Total runtime drops from 22.7μs to 14.8μs

**Best suited for:**
Based on the test results, this optimization is particularly effective for scenarios with frequent cache lookups, showing **48-58% improvements** in basic usage patterns. The optimization scales well regardless of the `code_strings` content size since the bottleneck was in the cache access pattern, not the dictionary comprehension itself.

This is a classic Python micro-optimization that leverages the performance difference between local variables (stored in a fast array) versus instance attributes (requiring dictionary lookups).
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Aug 5, 2025
@codeflash-ai codeflash-ai bot closed this Aug 7, 2025
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codeflash-ai bot commented Aug 7, 2025

This PR has been automatically closed because the original PR #553 by mohammedahmed18 was closed.

@codeflash-ai codeflash-ai bot deleted the codeflash/optimize-pr553-2025-08-05T00.25.17 branch August 7, 2025 05:08
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