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@codeflash-ai codeflash-ai bot commented Nov 19, 2025

📄 10% (0.10x) speedup for _coerce_progress in src/uberjob/_run.py

⏱️ Runtime : 283 microseconds 257 microseconds (best of 46 runs)

📝 Explanation and details

The optimization reorders conditional checks in _coerce_progress to avoid expensive operations for common cases, achieving a 9% speedup.

Key optimizations:

  1. Early exit for fast paths: The expensive tuple(progress) conversion is moved to the end, after checking for common cases (True, existing Progress instances). This eliminates unnecessary tuple conversions that dominated 72% of the original runtime.

  2. Optimized check ordering:

    • progress is True check moved up (248% faster for True cases)
    • isinstance(progress, Progress) check added before tuple conversion
    • type(progress) is tuple check preserved for direct tuple inputs
  3. Reduced exception handling: By checking fast paths first, fewer inputs reach the expensive tuple() conversion that often fails with TypeError, reducing exception overhead.

Impact on workloads:
The run() function calls _coerce_progress() on every execution with the progress parameter. Since this is in the main execution path of the uberjob framework, the optimization benefits all workloads. The performance gain is most significant for:

  • progress=True (the default) - 248% faster
  • Already-Progress objects - avoids tuple conversion entirely
  • Direct tuple inputs - skips conversion attempt

The optimization particularly helps workflows that frequently initialize job execution, as the progress parameter processing is now much more efficient for common usage patterns while maintaining identical functionality.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 24 Passed
⏪ Replay Tests 108 Passed
🔎 Concolic Coverage Tests 3 Passed
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests and Runtime
from collections.abc import Iterable

# imports
import pytest
from uberjob._run import _coerce_progress


# Minimal Progress class for testing
class Progress:
    def __init__(self, name=None):
        self.name = name


null_progress = Progress("null")
default_progress = Progress("default")
from uberjob._run import _coerce_progress

# unit tests

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


def test_none_returns_null_progress():
    # None should return null_progress
    codeflash_output = _coerce_progress(None)
    result = codeflash_output  # 522ns -> 487ns (7.19% faster)


def test_false_returns_null_progress():
    # False should return null_progress
    codeflash_output = _coerce_progress(False)
    result = codeflash_output  # 387ns -> 418ns (7.42% slower)


def test_true_returns_default_progress():
    # True should return default_progress
    codeflash_output = _coerce_progress(True)
    result = codeflash_output  # 1.54μs -> 443ns (248% faster)


def test_singleton_tuple_returns_composite():
    # Singleton tuple should return composite_progress with one member
    p1 = Progress("p1")
    codeflash_output = _coerce_progress((p1,))
    result = codeflash_output  # 1.67μs -> 1.78μs (6.19% slower)


def test_singleton_list_returns_composite():
    # Singleton list should return composite_progress with one member
    p1 = Progress("p1")
    codeflash_output = _coerce_progress([p1])
    result = codeflash_output  # 1.49μs -> 1.66μs (9.78% slower)


# ----------- Edge Test Cases -----------


def test_empty_list_returns_composite_with_no_members():
    # Empty list should return composite_progress with no members
    codeflash_output = _coerce_progress([])
    result = codeflash_output  # 387ns -> 412ns (6.07% slower)


def test_empty_tuple_returns_composite_with_no_members():
    # Empty tuple should return composite_progress with no members
    codeflash_output = _coerce_progress(())
    result = codeflash_output  # 422ns -> 457ns (7.66% slower)


def test_integer_raises_typeerror():
    # Passing an integer should raise TypeError
    with pytest.raises(TypeError):
        _coerce_progress(42)  # 2.03μs -> 1.94μs (4.59% faster)


def test_float_raises_typeerror():
    # Passing a float should raise TypeError
    with pytest.raises(TypeError):
        _coerce_progress(3.14)  # 1.97μs -> 1.86μs (5.42% faster)


def test_set_of_progress_returns_composite():
    # Passing a set of Progress should be converted to tuple and composite
    p1 = Progress("p1")
    p2 = Progress("p2")
    codeflash_output = _coerce_progress({p1, p2})
    result = codeflash_output  # 1.96μs -> 2.21μs (11.3% slower)


def test_bool_true_is_not_iterable():
    # True is not iterable, should return default_progress
    codeflash_output = _coerce_progress(True)
    result = codeflash_output  # 1.40μs -> 437ns (220% faster)


def test_bool_false_is_not_iterable():
    # False is not iterable, should return null_progress
    codeflash_output = _coerce_progress(False)
    result = codeflash_output  # 418ns -> 416ns (0.481% faster)


def test_iterable_with_progress_subclass_is_accepted():
    # Iterable containing Progress subclass should be accepted
    class MyProgress(Progress):
        pass

    p1 = Progress("p1")
    p2 = MyProgress("p2")
    codeflash_output = _coerce_progress([p1, p2])
    result = codeflash_output  # 2.30μs -> 2.46μs (6.59% slower)


# ----------- Large Scale Test Cases -----------


def test_large_set_of_progress_returns_composite():
    # Large set of Progress objects should be handled efficiently
    progresses = {Progress(f"p{i}") for i in range(1000)}
    codeflash_output = _coerce_progress(progresses)
    result = codeflash_output  # 12.2μs -> 12.1μs (0.884% faster)


def test_large_iterable_returns_composite_and_is_tuple():
    # Large iterable returns composite_progress with tuple members
    progresses = [Progress(f"p{i}") for i in range(1000)]
    codeflash_output = _coerce_progress(progresses)
    result = codeflash_output  # 6.29μs -> 6.62μs (4.92% slower)


# ----------- Miscellaneous -----------
from collections.abc import Iterable

# imports
import pytest
from uberjob._run import _coerce_progress

# Minimal stub implementations for Progress, composite_progress, default_progress, null_progress
# to allow unit testing without external dependencies.


class Progress:
    def __init__(self, observer=None):
        self._observer = observer

    def observer(self):
        # Return a dummy observer for testing purposes
        return self._observer or (lambda: None)


class CompositeProgressObserver:
    def __init__(self, observers):
        self._observers = list(observers)


# Singleton instances for default_progress and null_progress
default_progress = Progress(observer=lambda: "default")
null_progress = Progress(observer=lambda: "null")
from uberjob._run import _coerce_progress

# --- Unit tests for _coerce_progress ---

# Basic Test Cases


def test_none_returns_null_progress():
    # None should return null_progress
    codeflash_output = _coerce_progress(None)  # 530ns -> 481ns (10.2% faster)


def test_false_returns_null_progress():
    # False should return null_progress
    codeflash_output = _coerce_progress(False)  # 440ns -> 418ns (5.26% faster)


def test_true_returns_default_progress():
    # True should return default_progress
    codeflash_output = _coerce_progress(True)  # 1.46μs -> 445ns (227% faster)


def test_empty_list_returns_composite_with_no_members():
    # An empty list should return a composite Progress with no members
    codeflash_output = _coerce_progress([])
    result = codeflash_output  # 545ns -> 505ns (7.92% faster)
    obs = result.observer()


def test_empty_tuple_returns_composite_with_no_members():
    # An empty tuple should return a composite Progress with no members
    codeflash_output = _coerce_progress(())
    result = codeflash_output  # 452ns -> 459ns (1.53% slower)
    obs = result.observer()


def test_invalid_type_raises_typeerror():
    # Passing an invalid type should raise TypeError
    with pytest.raises(TypeError):
        _coerce_progress(123)  # 1.96μs -> 1.88μs (3.88% faster)
from uberjob._run import _coerce_progress
from uberjob.progress._ipython_progress_observer import IPythonProgressObserver
from uberjob.progress._progress import Progress


def test__coerce_progress():
    _coerce_progress(
        Progress(
            (
                x := [
                    IPythonProgressObserver(
                        initial_update_delay="",
                        min_update_interval="",
                        max_update_interval="",
                    )
                ],
                lambda *a: x.pop(0) if len(x) > 1 else x[0],
            )[1]
        )
    )


def test__coerce_progress_2():
    _coerce_progress(True)


def test__coerce_progress_3():
    _coerce_progress(None)
⏪ Replay Tests and Runtime
Test File::Test Function Original ⏱️ Optimized ⏱️ Speedup
test_pytest_teststest_registry_py_teststest_version_py_teststest_progress_py_teststest_atoms_py__replay_test_0.py::test_uberjob__run__coerce_progress 43.3μs 19.3μs 125%✅
🔎 Concolic Coverage Tests and Runtime
Test File::Test Function Original ⏱️ Optimized ⏱️ Speedup
codeflash_concolic_vvyu4fw6/tmpy_ne248j/test_concolic_coverage.py::test__coerce_progress 1.64μs 689ns 138%✅
codeflash_concolic_vvyu4fw6/tmpy_ne248j/test_concolic_coverage.py::test__coerce_progress_2 1.37μs 444ns 209%✅
codeflash_concolic_vvyu4fw6/tmpy_ne248j/test_concolic_coverage.py::test__coerce_progress_3 424ns 428ns -0.935%⚠️

To edit these changes git checkout codeflash/optimize-_coerce_progress-mi5xh07z and push.

Codeflash Static Badge

The optimization reorders conditional checks in `_coerce_progress` to avoid expensive operations for common cases, achieving a 9% speedup.

**Key optimizations:**

1. **Early exit for fast paths**: The expensive `tuple(progress)` conversion is moved to the end, after checking for common cases (`True`, existing `Progress` instances). This eliminates unnecessary tuple conversions that dominated 72% of the original runtime.

2. **Optimized check ordering**: 
   - `progress is True` check moved up (248% faster for True cases)
   - `isinstance(progress, Progress)` check added before tuple conversion
   - `type(progress) is tuple` check preserved for direct tuple inputs

3. **Reduced exception handling**: By checking fast paths first, fewer inputs reach the expensive `tuple()` conversion that often fails with `TypeError`, reducing exception overhead.

**Impact on workloads:**
The `run()` function calls `_coerce_progress()` on every execution with the `progress` parameter. Since this is in the main execution path of the uberjob framework, the optimization benefits all workloads. The performance gain is most significant for:
- `progress=True` (the default) - 248% faster
- Already-Progress objects - avoids tuple conversion entirely
- Direct tuple inputs - skips conversion attempt

The optimization particularly helps workflows that frequently initialize job execution, as the progress parameter processing is now much more efficient for common usage patterns while maintaining identical functionality.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 November 19, 2025 11:37
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash labels Nov 19, 2025
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