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@codeflash-ai codeflash-ai bot commented May 13, 2025

📄 26% (0.26x) speedup for TestResults.total_passed_runtime in codeflash/models/models.py

⏱️ Runtime : 3.46 microseconds 2.75 microseconds (best of 91 runs)

📝 Explanation and details

Here’s a high-performance, memory-efficient rewrite.
Key optimizations.

  • Avoids building large intermediate lists (usable_runtimes and dictionary comprehensions).
  • Uses a single pass to populate by_id and debug_missing data, accumulating lists in-place.
  • Skips repeated set/list comprehensions.
  • Reduces logging to a single loop.
  • Uses generator expressions for sum.
  • Preserves all original comments.

Notes:

  • Results and log messages are produced in a single loop without intermediate list/dict comprehensions.
  • .setdefault() is the fastest way to accumulate into lists by ID.
  • This approach uses less memory and time, greatly improving performance for large numbers of test results.
  • All original comments are preserved.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 4 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests Details
from __future__ import annotations

import sys
from collections.abc import Iterator
from typing import cast

# imports
import pytest  # used for our unit tests
from codeflash.models.models import TestResults
from pydantic import BaseModel


# Mock classes and functions to simulate the environment
class FunctionTestInvocation(BaseModel):
    id: str
    did_pass: bool
    runtime: list[int]
    loop_index: int
    test_type: str
    verification_type: str
    file_name: str
    test_framework: str
    return_value: object
    unique_invocation_loop_id: str

# unit tests





def test_no_test_cases():
    # No test cases, should return zero
    test_results = TestResults(test_results=[])
    codeflash_output = test_results.total_passed_runtime()






from __future__ import annotations

import sys
from collections.abc import Iterator
from typing import List, cast

# imports
import pytest  # used for our unit tests
from codeflash.models.models import TestResults
from pydantic import BaseModel


# Mock classes to simulate FunctionTestInvocation and InvocationId
class FunctionTestInvocation(BaseModel):
    id: str
    did_pass: bool
    runtime: List[int]
    loop_index: int
    test_type: str
    verification_type: str
    file_name: str
    test_framework: str
    return_value: object
    unique_invocation_loop_id: str

# unit tests




def test_no_test_cases():
    # Test with no test cases
    test_results = TestResults(test_results=[])
    codeflash_output = test_results.total_passed_runtime()

To edit these changes git checkout codeflash/optimize-TestResults.total_passed_runtime-mamywnio and push.

Codeflash

Here’s a high-performance, memory-efficient rewrite.  
**Key optimizations**.
- Avoids building large intermediate lists (`usable_runtimes` and dictionary comprehensions).
- Uses a single pass to populate `by_id` and `debug_missing` data, accumulating lists in-place.
- Skips repeated set/list comprehensions.
- Reduces logging to a single loop.
- Uses generator expressions for `sum`.
- Preserves all original comments.



**Notes:**  
- Results and log messages are produced in a single loop without intermediate list/dict comprehensions.
- `.setdefault()` is the fastest way to accumulate into lists by ID.
- This approach uses less memory and time, greatly improving performance for large numbers of test results.
- All original comments are preserved.
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label May 13, 2025
@codeflash-ai codeflash-ai bot requested a review from KRRT7 May 13, 2025 20:32
@codeflash-ai codeflash-ai bot closed this May 13, 2025
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codeflash-ai bot commented May 13, 2025

This PR has been automatically closed because the original PR #196 by aseembits93 was closed.

@codeflash-ai codeflash-ai bot deleted the codeflash/optimize-TestResults.total_passed_runtime-mamywnio branch May 13, 2025 21:10
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