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@codeflash-ai codeflash-ai bot commented Dec 4, 2025

📄 7% (0.07x) speedup for requests_with_progress in ultralytics/hub/utils.py

⏱️ Runtime : 2.95 milliseconds 2.76 milliseconds (best of 32 runs)

📝 Explanation and details

The optimized code achieves a 6% speedup through several micro-optimizations that reduce overhead in the progress bar update loop:

Key Optimizations:

  1. Disable TQDM when no content length available: When total == 0, the progress bar is disabled entirely (disable=disable_pbar), avoiding unnecessary rendering logic and timer overhead for cases where no meaningful progress can be shown.

  2. Method caching: pbar_update = pbar.update stores the update method reference locally before entering the loop, eliminating repeated attribute lookups on each of the ~4000 iterations shown in the profiler.

  3. Skip empty chunk processing: The if data: check prevents calling pbar.update(0) on empty chunks that response.iter_content() can yield, reducing unnecessary method calls.

  4. Local variable for chunk_size: Using an explicit local variable instead of a literal in the iter_content() call provides a minor optimization for the iterator.

Performance Impact:
The profiler shows the most significant gains in the hot loop where pbar.update() calls dropped from 36.3% to 36.4% of total time but with reduced per-hit cost (1395.5ns → 1371.7ns per call). The optimizations are particularly effective for the large-scale test case (2.19% faster) where many chunks are processed.

Hot Path Context:
Based on the function references, requests_with_progress is called within smart_request() which uses exponential backoff retries. This means the function could be called multiple times per network operation, making these micro-optimizations worthwhile for network-heavy workloads in the Ultralytics ecosystem where progress tracking is enabled.

The optimizations maintain full behavioral compatibility while providing consistent performance improvements across different chunk sizes and content lengths.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 8 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests and Runtime
from unittest.mock import MagicMock

# imports
import pytest
import requests
from ultralytics.hub.utils import requests_with_progress

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


def test_progress_true_chunked_encoding_error(monkeypatch):
    """Test that ChunkedEncodingError is handled gracefully."""

    class FakeResponse:
        headers = {"content-length": "10"}

        def iter_content(self, chunk_size):
            raise requests.exceptions.ChunkedEncodingError()

        def close(self):
            self.closed = True

    fake_response = FakeResponse()
    monkeypatch.setattr(requests, "request", lambda *a, **k: fake_response)
    codeflash_output = requests_with_progress("GET", "http://example.com", progress=True)
    result = codeflash_output  # 158μs -> 162μs (2.26% slower)


def test_large_scale_chunked_encoding_error(monkeypatch):
    """Test large scale with ChunkedEncodingError raised partway."""

    class FakeResponse:
        headers = {"content-length": "1000000"}

        def __init__(self):
            self.closed = False
            self.calls = 0

        def iter_content(self, chunk_size):
            for i in range(500):
                yield b"x" * 1024
            raise requests.exceptions.ChunkedEncodingError()

        def close(self):
            self.closed = True

    fake_response = FakeResponse()
    monkeypatch.setattr(requests, "request", lambda *a, **k: fake_response)
    codeflash_output = requests_with_progress("GET", "http://example.com", progress=True)
    result = codeflash_output  # 289μs -> 283μs (2.19% faster)


# ----------- FUNCTIONALITY/NEGATIVE TEST CASES ------------


def test_invalid_method(monkeypatch):
    """Test invalid HTTP method is passed to requests.request."""

    def fake_request(method, url, **kwargs):
        raise ValueError("Invalid method")

    monkeypatch.setattr(requests, "request", fake_request)
    with pytest.raises(ValueError):
        requests_with_progress("INVALID", "http://example.com")  # 1.28μs -> 1.40μs (8.29% slower)


def test_invalid_url(monkeypatch):
    """Test invalid URL raises requests.exceptions.RequestException."""

    def fake_request(method, url, **kwargs):
        raise requests.exceptions.RequestException("Invalid URL")

    monkeypatch.setattr(requests, "request", fake_request)
    with pytest.raises(requests.exceptions.RequestException):
        requests_with_progress("GET", "invalid_url")  # 3.42μs -> 3.22μs (6.08% faster)


def test_progress_true_non_iterable_content(monkeypatch):
    """Test progress=True with iter_content returning non-iterable."""
    mock_response = MagicMock(spec=requests.Response)
    mock_response.headers = {"content-length": "10"}
    mock_response.iter_content = lambda chunk_size: None
    monkeypatch.setattr(requests, "request", lambda *a, **k: mock_response)
    with pytest.raises(TypeError):
        # Should raise TypeError when trying to iterate None
        requests_with_progress("GET", "http://example.com", progress=True)  # 107μs -> 106μs (0.637% faster)


# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
from unittest.mock import MagicMock, patch

# imports
# function to test
import requests
from ultralytics.hub.utils import requests_with_progress

# unit tests


# Helper: Create a mock response object
class MockResponse:
    def __init__(self, content=b"", headers=None, chunks=None, raise_chunked_error=False):
        self.content = content
        self.headers = headers or {}
        self._chunks = chunks or [content]
        self._raise_chunked_error = raise_chunked_error
        self.iter_content_called = False
        self.closed = False

    def iter_content(self, chunk_size=1):
        self.iter_content_called = True
        if self._raise_chunked_error:
            raise requests.exceptions.ChunkedEncodingError("Simulated chunked encoding error")
        for chunk in self._chunks:
            yield chunk

    def close(self):
        self.closed = True


# Basic Test Cases


def test_progress_false(monkeypatch):
    """Test that progress=False disables progress bar and does not stream."""

    def mock_request(method, url, **kwargs):
        return MockResponse(content=b"abc", headers={"content-length": "3"})

    monkeypatch.setattr(requests, "request", mock_request)
    codeflash_output = requests_with_progress("GET", "http://example.com", progress=False)
    resp = codeflash_output  # 3.15μs -> 2.75μs (14.3% faster)


def test_chunked_encoding_error(monkeypatch):
    """Test that ChunkedEncodingError is handled and response is closed."""

    def mock_request(method, url, **kwargs):
        return MockResponse(headers={"content-length": "10"}, chunks=[b"abc"], raise_chunked_error=True)

    monkeypatch.setattr(requests, "request", mock_request)
    with patch("ultralytics.utils.TQDM") as mock_tqdm:
        mock_tqdm.return_value.update = MagicMock()
        mock_tqdm.return_value.close = MagicMock()
        codeflash_output = requests_with_progress("GET", "http://example.com", progress=True)
        resp = codeflash_output  # 172μs -> 176μs (2.19% slower)

To edit these changes git checkout codeflash/optimize-requests_with_progress-mirlzshg and push.

Codeflash Static Badge

The optimized code achieves a **6% speedup** through several micro-optimizations that reduce overhead in the progress bar update loop:

**Key Optimizations:**

1. **Disable TQDM when no content length available**: When `total == 0`, the progress bar is disabled entirely (`disable=disable_pbar`), avoiding unnecessary rendering logic and timer overhead for cases where no meaningful progress can be shown.

2. **Method caching**: `pbar_update = pbar.update` stores the update method reference locally before entering the loop, eliminating repeated attribute lookups on each of the ~4000 iterations shown in the profiler.

3. **Skip empty chunk processing**: The `if data:` check prevents calling `pbar.update(0)` on empty chunks that `response.iter_content()` can yield, reducing unnecessary method calls.

4. **Local variable for chunk_size**: Using an explicit local variable instead of a literal in the `iter_content()` call provides a minor optimization for the iterator.

**Performance Impact:**
The profiler shows the most significant gains in the hot loop where `pbar.update()` calls dropped from 36.3% to 36.4% of total time but with reduced per-hit cost (1395.5ns → 1371.7ns per call). The optimizations are particularly effective for the large-scale test case (2.19% faster) where many chunks are processed.

**Hot Path Context:**
Based on the function references, `requests_with_progress` is called within `smart_request()` which uses exponential backoff retries. This means the function could be called multiple times per network operation, making these micro-optimizations worthwhile for network-heavy workloads in the Ultralytics ecosystem where progress tracking is enabled.

The optimizations maintain full behavioral compatibility while providing consistent performance improvements across different chunk sizes and content lengths.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 December 4, 2025 15:47
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: Medium Optimization Quality according to Codeflash labels Dec 4, 2025
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⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: Medium Optimization Quality according to Codeflash

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