⚡️ Speed up function _get_min_max_value by 24%

[codeflash-ai]

📄 24% (0.24x) speedup for _get_min_max_value in panel/widgets/widget.py

⏱️ Runtime : 176 microseconds → 142 microseconds (best of 33 runs)

📝 Explanation and details

The optimized code achieves a 24% speedup through several key micro-optimizations:

Primary optimization - Faster type checking for Real numbers:

• Original: isinstance(value, Real) directly checks against the numbers.Real ABC
• Optimized: isinstance(value, (int, float)) or isinstance(value, Real) first checks common concrete types before falling back to the ABC
• This provides significant speedup for the most common cases (int/float values), as seen in the line profiler where this line goes from 29.6% to 18.9% of total time

Tuple allocation elimination:

• Original: Creates vrange tuple then indexes with vrange[0] and vrange[1]
• Optimized: Uses direct variable assignment vrange0, vrange1 = ... eliminating tuple creation and indexing overhead
• Also pre-computes v3 = value * 3 to avoid duplicate multiplication

Comparison optimization:

• Original: not (minimum <= value <= maximum) uses chained comparison with negation
• Optimized: value < minimum or value > maximum uses separate comparisons which can short-circuit faster

Performance characteristics by test case:

• Best gains (43-149% faster): Basic float operations and step calculations where type checking dominates
• Good gains (20-40% faster): Most common usage patterns with int/float values
• Minimal impact (~5% slower): Error cases with non-numeric types, since the optimized type check is slightly more complex for uncommon types

The optimizations are particularly effective for workloads with frequent numeric validation, as evidenced by the consistent 20-40% improvements across most test cases.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 89 Passed
⏪ Replay Tests	🔘 None Found
🔎 Concolic Coverage Tests	✅ 4 Passed
📊 Tests Coverage	100.0%

🌀 Generated Regression Tests and Runtime

from numbers import Real

# imports
import pytest  # used for our unit tests
from panel.widgets.widget import _get_min_max_value

# unit tests

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

def test_basic_min_max_value_int():
    # Basic: min/max/value as ints
    min_, max_, val = _get_min_max_value(0, 10, 5) # 2.69μs -> 1.88μs (43.2% faster)

def test_basic_min_max_value_float():
    # Basic: min/max/value as floats
    min_, max_, val = _get_min_max_value(0.0, 10.0, 5.0) # 4.72μs -> 1.89μs (149% faster)

def test_basic_infer_value_from_min_max():
    # Basic: value is None, min/max given
    min_, max_, val = _get_min_max_value(2, 8) # 2.01μs -> 1.92μs (4.63% faster)

def test_basic_infer_value_from_min_max_float():
    # Basic: value is None, min/max are floats
    min_, max_, val = _get_min_max_value(2.0, 8.0) # 1.55μs -> 1.53μs (1.24% faster)

def test_basic_infer_min_max_from_value_positive():
    # Basic: min/max are None, value positive
    min_, max_, val = _get_min_max_value(None, None, 4) # 1.84μs -> 1.47μs (24.9% faster)

def test_basic_infer_min_max_from_value_zero():
    # Basic: min/max are None, value zero
    min_, max_, val = _get_min_max_value(None, None, 0) # 1.73μs -> 1.28μs (35.1% faster)

def test_basic_infer_min_max_from_value_negative():
    # Basic: min/max are None, value negative
    min_, max_, val = _get_min_max_value(None, None, -7) # 2.01μs -> 1.50μs (34.1% faster)

def test_basic_step_argument():
    # Basic: step argument, value should be snapped to step
    min_, max_, val = _get_min_max_value(0, 10, 7.3, step=2) # 4.82μs -> 2.86μs (68.2% faster)

def test_basic_step_argument_float():
    # Basic: step argument as float
    min_, max_, val = _get_min_max_value(0.0, 10.0, 7.3, step=2.5) # 4.05μs -> 2.70μs (50.0% faster)

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

def test_edge_min_equals_max():
    # Edge: min equals max, value must be that value
    min_, max_, val = _get_min_max_value(5, 5, 5) # 1.67μs -> 1.34μs (24.6% faster)

def test_edge_min_equals_max_value_none():
    # Edge: min equals max, value is None, should return min/max/value all same
    min_, max_, val = _get_min_max_value(3, 3) # 1.86μs -> 1.85μs (0.542% faster)

def test_edge_value_out_of_bounds_raises():
    # Edge: value outside min/max
    with pytest.raises(ValueError):
        _get_min_max_value(0, 10, 12) # 2.88μs -> 2.76μs (4.53% faster)

def test_edge_value_below_min_raises():
    # Edge: value below min
    with pytest.raises(ValueError):
        _get_min_max_value(5, 10, 2) # 2.75μs -> 2.36μs (16.1% faster)

def test_edge_value_above_max_raises():
    # Edge: value above max
    with pytest.raises(ValueError):
        _get_min_max_value(0, 10, 11) # 2.74μs -> 2.29μs (19.6% faster)

def test_edge_min_none_max_none_value_none_raises():
    # Edge: all None, should raise
    with pytest.raises(ValueError):
        _get_min_max_value(None, None, None) # 1.66μs -> 1.77μs (6.10% slower)

def test_edge_min_none_value_none_raises():
    # Edge: min None, value None, should raise
    with pytest.raises(ValueError):
        _get_min_max_value(None, 10, None) # 1.44μs -> 1.54μs (6.80% slower)


def test_edge_non_real_value_type_raises():
    # Edge: value is not a real number
    with pytest.raises(TypeError):
        _get_min_max_value(0, 10, "abc") # 2.82μs -> 3.10μs (9.04% slower)


def test_edge_step_snaps_to_max():
    # Edge: step argument, value above max, should snap to max and not raise
    min_, max_, val = _get_min_max_value(0, 10, 11, step=2)
    # Should raise because value is outside range after snapping
    with pytest.raises(ValueError):
        _get_min_max_value(0, 10, 11, step=2)


def test_edge_step_is_negative():
    # Edge: step is negative, should snap downwards
    min_, max_, val = _get_min_max_value(0, 10, 7, step=-2) # 3.50μs -> 2.37μs (47.6% faster)

def test_edge_min_max_float_precision():
    # Edge: float precision
    min_, max_, val = _get_min_max_value(0.1, 0.3, 0.2) # 3.70μs -> 1.71μs (117% faster)

def test_edge_midpoint_type_casting():
    # Edge: midpoint type casting int
    min_, max_, val = _get_min_max_value(2, 8) # 1.66μs -> 1.60μs (3.88% faster)

def test_edge_midpoint_type_casting_float():
    # Edge: midpoint type casting float
    min_, max_, val = _get_min_max_value(2.0, 8.0) # 1.52μs -> 1.29μs (18.3% faster)

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

def test_large_range_integers():
    # Large: large integer range
    min_, max_, val = _get_min_max_value(0, 999) # 1.95μs -> 1.78μs (9.36% faster)

def test_large_range_floats():
    # Large: large float range
    min_, max_, val = _get_min_max_value(0.0, 999.0) # 1.41μs -> 1.45μs (2.49% slower)

def test_large_step():
    # Large: step argument with large range
    min_, max_, val = _get_min_max_value(0, 1000, 789, step=100) # 2.95μs -> 2.37μs (24.6% faster)

def test_large_infer_min_max_from_value():
    # Large: value is large, min/max inferred
    min_, max_, val = _get_min_max_value(None, None, 500) # 1.93μs -> 1.36μs (41.3% faster)

def test_large_many_calls():
    # Large: call function in a loop to check for determinism and performance
    for i in range(0, 1000, 100):
        min_, max_, val = _get_min_max_value(i, i+100) # 5.09μs -> 5.13μs (0.779% slower)

def test_large_step_float_precision():
    # Large: step argument with float precision
    min_, max_, val = _get_min_max_value(0.0, 1000.0, 789.9, step=100.1) # 4.46μs -> 2.74μs (62.7% faster)

def test_large_negative_range():
    # Large: negative range
    min_, max_, val = _get_min_max_value(-1000, -1) # 1.89μs -> 1.73μs (9.00% faster)

def test_large_extreme_value_infer_min_max():
    # Large: extremely negative value, min/max inferred
    min_, max_, val = _get_min_max_value(None, None, -999) # 2.03μs -> 1.50μs (35.8% faster)

def test_large_step_with_inferred_min_max():
    # Large: step with inferred min/max
    min_, max_, val = _get_min_max_value(None, None, 500, step=250) # 2.91μs -> 2.38μs (22.2% faster)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
from numbers import Real

# imports
import pytest  # used for our unit tests
from panel.widgets.widget import _get_min_max_value

# unit tests

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

def test_basic_min_max_value_ints():
    # Basic usage with integers, value is None
    codeflash_output = _get_min_max_value(0, 10); result = codeflash_output # 1.75μs -> 1.59μs (10.2% faster)

def test_basic_min_max_value_floats():
    # Basic usage with floats, value is None
    codeflash_output = _get_min_max_value(0.0, 10.0); result = codeflash_output # 1.41μs -> 1.39μs (1.51% faster)

def test_basic_value_given_with_min_max():
    # Value given, min/max also given
    codeflash_output = _get_min_max_value(1, 5, value=3); result = codeflash_output # 2.07μs -> 1.73μs (19.6% faster)

def test_basic_value_given_no_min_max():
    # Value given, min/max are None
    codeflash_output = _get_min_max_value(None, None, value=2); result = codeflash_output # 2.07μs -> 1.59μs (30.7% faster)

def test_basic_value_zero():
    # Value is zero, min/max are None
    codeflash_output = _get_min_max_value(None, None, value=0); result = codeflash_output # 1.97μs -> 1.54μs (27.9% faster)

def test_basic_value_negative():
    # Value is negative, min/max are None
    codeflash_output = _get_min_max_value(None, None, value=-2); result = codeflash_output # 2.19μs -> 1.70μs (28.9% faster)

def test_basic_step():
    # Step provided, value should be snapped to step
    codeflash_output = _get_min_max_value(0, 10, value=7, step=3); result = codeflash_output # 2.74μs -> 2.27μs (20.9% faster)

def test_basic_step_float():
    # Step provided with float values
    codeflash_output = _get_min_max_value(0.0, 1.0, value=0.7, step=0.2); result = codeflash_output # 4.82μs -> 2.60μs (85.0% faster)

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

def test_edge_min_equals_max():
    # min == max, value must be equal
    codeflash_output = _get_min_max_value(5, 5); result = codeflash_output # 1.79μs -> 1.72μs (4.24% faster)

def test_edge_value_out_of_bounds():
    # Value out of bounds should raise ValueError
    with pytest.raises(ValueError):
        _get_min_max_value(0, 5, value=10) # 3.10μs -> 2.54μs (22.0% faster)

def test_edge_min_greater_than_max():
    # min > max is invalid, should raise ValueError
    with pytest.raises(ValueError):
        _get_min_max_value(10, 5) # 2.76μs -> 2.57μs (7.60% faster)

def test_edge_step_not_on_grid():
    # Value not on step grid, should snap down
    codeflash_output = _get_min_max_value(0, 10, value=8, step=3); result = codeflash_output # 2.80μs -> 2.33μs (20.0% faster)

def test_edge_step_larger_than_range():
    # Step larger than range, value should snap to min
    codeflash_output = _get_min_max_value(0, 2, value=1, step=5); result = codeflash_output # 2.63μs -> 2.20μs (19.7% faster)

def test_edge_none_min_or_max_with_value():
    # Only min is None
    codeflash_output = _get_min_max_value(None, 10, value=2); result = codeflash_output # 2.11μs -> 1.67μs (26.5% faster)
    # Only max is None
    codeflash_output = _get_min_max_value(1, None, value=2); result = codeflash_output # 944ns -> 705ns (33.9% faster)

def test_edge_invalid_type_value():
    # Value is not a real number
    with pytest.raises(TypeError):
        _get_min_max_value(0, 10, value="not_a_number") # 2.26μs -> 3.12μs (27.5% slower)

def test_edge_invalid_type_min_max():
    # Min/max are not numbers, should fail at subtraction
    with pytest.raises(TypeError):
        _get_min_max_value("a", "b") # 1.77μs -> 1.86μs (4.73% slower)

def test_edge_none_all_args():
    # All arguments None, should raise ValueError
    with pytest.raises(ValueError):
        _get_min_max_value(None, None, value=None) # 1.92μs -> 2.04μs (5.60% slower)

def test_edge_step_zero():
    # Step is zero, should raise ZeroDivisionError
    with pytest.raises(ZeroDivisionError):
        _get_min_max_value(0, 10, value=5, step=0) # 2.77μs -> 2.46μs (12.3% faster)

def test_edge_value_equal_min_or_max():
    # Value equal to min
    codeflash_output = _get_min_max_value(1, 5, value=1); result = codeflash_output # 2.10μs -> 1.60μs (31.3% faster)
    # Value equal to max
    codeflash_output = _get_min_max_value(1, 5, value=5); result = codeflash_output # 972ns -> 761ns (27.7% faster)

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

def test_large_scale_range():
    # Large range, value is midpoint
    codeflash_output = _get_min_max_value(0, 999); result = codeflash_output # 1.90μs -> 1.79μs (5.85% faster)

def test_large_scale_step():
    # Large range with step, value should snap
    codeflash_output = _get_min_max_value(0, 1000, value=987, step=100); result = codeflash_output # 2.90μs -> 2.37μs (22.5% faster)

def test_large_scale_many_steps():
    # Many steps in range
    for step in range(1, 100, 10):
        codeflash_output = _get_min_max_value(0, 999, value=555, step=step); result = codeflash_output # 8.55μs -> 6.87μs (24.5% faster)
        snapped = 555 - (555 % step)

def test_large_scale_floats():
    # Large range with floats
    codeflash_output = _get_min_max_value(0.0, 999.0); result = codeflash_output # 1.46μs -> 1.49μs (2.01% slower)

def test_large_scale_value_inferred():
    # Large value, min/max inferred
    codeflash_output = _get_min_max_value(None, None, value=500); result = codeflash_output # 2.19μs -> 1.65μs (32.9% faster)

def test_large_scale_step_float():
    # Large float range and step
    codeflash_output = _get_min_max_value(0.0, 999.0, value=555.5, step=10.5); result = codeflash_output # 4.45μs -> 2.75μs (61.6% faster)
    expected = 555.5 - ((555.5 - 0.0) % 10.5)

def test_large_scale_edge_snap_to_max():
    # Value near max, should snap down
    codeflash_output = _get_min_max_value(0, 999, value=998, step=100); result = codeflash_output # 2.75μs -> 2.23μs (23.6% faster)

def test_large_scale_edge_snap_to_min():
    # Value near min, should snap to min
    codeflash_output = _get_min_max_value(0, 999, value=2, step=100); result = codeflash_output # 2.64μs -> 1.88μs (40.4% faster)

def test_large_scale_all_values():
    # Test all values in a large range to ensure all are within min/max
    min_val, max_val = 0, 999
    for value in range(min_val, max_val+1, 111):
        codeflash_output = _get_min_max_value(min_val, max_val, value=value); result = codeflash_output # 7.00μs -> 5.26μs (33.0% faster)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
from panel.widgets.widget import _get_min_max_value
import pytest

def test__get_min_max_value():
    with pytest.raises(ValueError, match='value\\ must\\ be\\ between\\ min\\ and\\ max\\ \\(min=0\\.0,\\ value=0\\.0,\\ max=\\-1\\)'):
        _get_min_max_value(0.0, -1, value=0.5, step=-1)

def test__get_min_max_value_2():
    _get_min_max_value(0, 0.0, value=None, step=-1)

def test__get_min_max_value_3():
    with pytest.raises(ValueError, match='value\\ must\\ be\\ between\\ min\\ and\\ max\\ \\(min=0,\\ value=\\-1,\\ max=0\\)'):
        _get_min_max_value(0, 0, value=-1, step=-1)

def test__get_min_max_value_4():
    with pytest.raises(ZeroDivisionError):
        _get_min_max_value(0, 0.0, value=0, step=0)

🔎 Concolic Coverage Tests and Runtime

Test File::Test Function	Original ⏱️	Optimized ⏱️	Speedup
codeflash_concolic_qbtdmixy/tmpwrj0pp1d/test_concolic_coverage.py::test__get_min_max_value	7.82μs	5.67μs	38.0%✅
codeflash_concolic_qbtdmixy/tmpwrj0pp1d/test_concolic_coverage.py::test__get_min_max_value_2	2.57μs	2.61μs	-1.45%⚠️
codeflash_concolic_qbtdmixy/tmpwrj0pp1d/test_concolic_coverage.py::test__get_min_max_value_3	3.66μs	3.38μs	8.56%✅
codeflash_concolic_qbtdmixy/tmpwrj0pp1d/test_concolic_coverage.py::test__get_min_max_value_4	2.73μs	2.32μs	17.5%✅

To edit these changes git checkout codeflash/optimize-_get_min_max_value-mhbj9pv2 and push.