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

📄 30% (0.30x) speedup for AltairPlot.create_legend in gradio/components/plot.py

⏱️ Runtime : 275 microseconds 211 microseconds (best of 85 runs)

📝 Explanation and details

The optimization achieves a 30% speedup by eliminating unnecessary dictionary operations and intermediate variable assignments.

Key optimizations:

  1. Early returns: Instead of storing values in a legend variable and returning at the end, the optimized code returns immediately when conditions are met, reducing variable assignments and memory operations.

  2. Eliminated dictionary unpacking: The original code created an intermediate dictionary {"orient": position} if position else {} and then unpacked it with **position. The optimized version directly constructs the final dictionary in one operation, avoiding the creation and unpacking of temporary objects.

  3. Reduced branching complexity: The original code used a ternary operator within dictionary unpacking, while the optimized version uses clearer conditional statements that allow for more efficient execution paths.

Performance impact by test case:

  • "none" position cases: 5-13% improvement due to early return eliminating unnecessary variable assignments
  • Valid position cases: 20-37% improvement from avoiding dictionary creation/unpacking overhead
  • Empty/falsy position cases: 28-36% improvement as these benefit most from skipping the intermediate dictionary operations
  • Large-scale tests: Consistent 30%+ improvements, showing the optimization scales well

The line profiler shows the optimization eliminates the costly **position unpacking operation (25.3% of original runtime) and reduces dictionary creation overhead. Since this function appears to be used for UI legend generation, the performance gains would be particularly beneficial in interactive applications where legends are frequently created or updated.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 1052 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests and Runtime
from __future__ import annotations

# imports
import pytest  # used for our unit tests
from gradio.components.plot import AltairPlot

# unit tests

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

def test_none_position_returns_none():
    # Test that position="none" returns None regardless of title
    codeflash_output = AltairPlot.create_legend("none", "Legend Title") # 477ns -> 423ns (12.8% faster)
    codeflash_output = AltairPlot.create_legend("none", "") # 185ns -> 172ns (7.56% faster)
    codeflash_output = AltairPlot.create_legend("none", None) # 143ns -> 135ns (5.93% faster)

def test_basic_named_position():
    # Test that a typical position returns a dict with orient and title
    codeflash_output = AltairPlot.create_legend("top", "Legend Title"); result = codeflash_output # 865ns -> 659ns (31.3% faster)

def test_basic_empty_title():
    # Test that an empty string title is allowed and present in the dict
    codeflash_output = AltairPlot.create_legend("right", ""); result = codeflash_output # 836ns -> 679ns (23.1% faster)

def test_none_title():
    # Test that None as a title is allowed and present in the dict
    codeflash_output = AltairPlot.create_legend("left", None); result = codeflash_output # 918ns -> 688ns (33.4% faster)

def test_empty_position():
    # Test that an empty position returns a dict with just title
    codeflash_output = AltairPlot.create_legend("", "Legend Title"); result = codeflash_output # 746ns -> 556ns (34.2% faster)

def test_none_position():
    # Test that None as position returns a dict with just title
    codeflash_output = AltairPlot.create_legend(None, "Legend Title"); result = codeflash_output # 833ns -> 636ns (31.0% faster)

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

def test_unexpected_position_string():
    # Test that an unexpected position string is accepted as orient
    codeflash_output = AltairPlot.create_legend("bottom-left", "Legend Title"); result = codeflash_output # 831ns -> 647ns (28.4% faster)

def test_numeric_title():
    # Test that numeric titles are accepted and preserved
    codeflash_output = AltairPlot.create_legend("top", 1234); result = codeflash_output # 876ns -> 646ns (35.6% faster)

def test_numeric_position():
    # Test that numeric position is handled as orient
    codeflash_output = AltairPlot.create_legend(42, "Legend Title"); result = codeflash_output # 933ns -> 723ns (29.0% faster)

def test_boolean_position():
    # Test that boolean position (True/False) is handled as orient
    codeflash_output = AltairPlot.create_legend(True, "Legend Title"); result_true = codeflash_output # 900ns -> 691ns (30.2% faster)

    codeflash_output = AltairPlot.create_legend(False, "Legend Title"); result_false = codeflash_output # 462ns -> 360ns (28.3% faster)

def test_boolean_title():
    # Test that boolean title is accepted and preserved
    codeflash_output = AltairPlot.create_legend("top", False); result = codeflash_output # 803ns -> 602ns (33.4% faster)

def test_dict_title():
    # Test that a dict as title is accepted and preserved
    title_dict = {"main": "Legend", "sub": "subtitle"}
    codeflash_output = AltairPlot.create_legend("right", title_dict); result = codeflash_output # 850ns -> 620ns (37.1% faster)

def test_list_title():
    # Test that a list as title is accepted and preserved
    title_list = ["Legend", "subtitle"]
    codeflash_output = AltairPlot.create_legend("right", title_list); result = codeflash_output # 840ns -> 684ns (22.8% faster)

def test_mutation_resistance():
    # Test that returned dict is a new object and not a reference to a mutable input
    title = {"a": 1}
    codeflash_output = AltairPlot.create_legend("top", title); result = codeflash_output # 835ns -> 646ns (29.3% faster)
    title["b"] = 2

def test_position_none_string_vs_none_type():
    # Test that "none" string disables legend, but None (type) does not
    codeflash_output = AltairPlot.create_legend("none", "Legend") # 467ns -> 408ns (14.5% faster)
    codeflash_output = AltairPlot.create_legend(None, "Legend") # 621ns -> 478ns (29.9% faster)

def test_position_empty_string_vs_none_string():
    # Test that "" and "none" are handled differently
    codeflash_output = AltairPlot.create_legend("", "Legend") # 761ns -> 559ns (36.1% faster)
    codeflash_output = AltairPlot.create_legend("none", "Legend") # 277ns -> 278ns (0.360% slower)

def test_title_empty_string_vs_none():
    # Test that "" and None are both accepted as title
    codeflash_output = AltairPlot.create_legend("top", "") # 906ns -> 670ns (35.2% faster)
    codeflash_output = AltairPlot.create_legend("top", None) # 426ns -> 290ns (46.9% faster)


def test_title_object():
    # Test that passing a custom object as title is accepted and preserved
    class Dummy:
        pass
    dummy = Dummy()
    codeflash_output = AltairPlot.create_legend("top", dummy); result = codeflash_output # 904ns -> 666ns (35.7% faster)

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

def test_long_title_string():
    # Test with a very long title string
    long_title = "Legend" * 200  # 1200+ chars
    codeflash_output = AltairPlot.create_legend("top", long_title); result = codeflash_output # 856ns -> 678ns (26.3% faster)

def test_many_unique_positions():
    # Test with many unique position values
    for i in range(100):
        pos = f"custom{i}"
        codeflash_output = AltairPlot.create_legend(pos, f"Legend {i}"); result = codeflash_output # 24.9μs -> 19.1μs (30.3% faster)

def test_large_scale_titles():
    # Test with a large number of different title types
    titles = [str(i) for i in range(500)]  # 500 unique titles
    for t in titles:
        codeflash_output = AltairPlot.create_legend("top", t); result = codeflash_output # 119μs -> 89.6μs (33.9% faster)

def test_large_scale_positions_and_titles():
    # Test with combinations of positions and titles
    for i in range(100):
        pos = f"pos{i}"
        title = f"title{i}"
        codeflash_output = AltairPlot.create_legend(pos, title); result = codeflash_output # 25.0μs -> 19.1μs (30.9% faster)

def test_performance_with_large_inputs():
    # Test function's performance with large, but manageable, inputs
    # This is not a strict performance test, but ensures no crash with large input
    long_title = "A" * 999
    pos = "verylongposition" * 20
    codeflash_output = AltairPlot.create_legend(pos, long_title); result = codeflash_output # 688ns -> 639ns (7.67% faster)
# 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

# imports
import pytest  # used for our unit tests
from gradio.components.plot import AltairPlot

# unit tests

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

def test_create_legend_basic_position_top():
    # Test with a standard position and title
    codeflash_output = AltairPlot.create_legend("top", "Legend Title"); result = codeflash_output # 821ns -> 715ns (14.8% faster)

def test_create_legend_basic_position_bottom():
    # Test with another standard position
    codeflash_output = AltairPlot.create_legend("bottom", "Legend Title"); result = codeflash_output # 879ns -> 691ns (27.2% faster)

def test_create_legend_basic_position_none():
    # Test with position "none" (should return None)
    codeflash_output = AltairPlot.create_legend("none", "Any Title"); result = codeflash_output # 472ns -> 457ns (3.28% faster)

def test_create_legend_basic_position_empty_string():
    # Test with empty string position (should omit 'orient')
    codeflash_output = AltairPlot.create_legend("", "No Orient"); result = codeflash_output # 724ns -> 544ns (33.1% faster)

def test_create_legend_basic_title_empty():
    # Test with empty title
    codeflash_output = AltairPlot.create_legend("left", ""); result = codeflash_output # 880ns -> 731ns (20.4% faster)

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

def test_create_legend_position_none_type():
    # Test with None as position (should omit 'orient')
    codeflash_output = AltairPlot.create_legend(None, "Null Position"); result = codeflash_output # 820ns -> 663ns (23.7% faster)

def test_create_legend_title_none():
    # Test with None as title (should assign None to title)
    codeflash_output = AltairPlot.create_legend("right", None); result = codeflash_output # 861ns -> 700ns (23.0% faster)

def test_create_legend_position_unusual_string():
    # Test with an unusual string for position
    codeflash_output = AltairPlot.create_legend("foobar", "Unusual Position"); result = codeflash_output # 872ns -> 729ns (19.6% faster)

def test_create_legend_position_integer():
    # Test with an integer as position (should include as orient)
    codeflash_output = AltairPlot.create_legend(123, "Int Position"); result = codeflash_output # 907ns -> 773ns (17.3% faster)

def test_create_legend_title_integer():
    # Test with an integer as title
    codeflash_output = AltairPlot.create_legend("top", 456); result = codeflash_output # 852ns -> 637ns (33.8% faster)

def test_create_legend_position_false():
    # Test with False as position (should omit 'orient')
    codeflash_output = AltairPlot.create_legend(False, "False Position"); result = codeflash_output # 813ns -> 659ns (23.4% faster)

def test_create_legend_position_true():
    # Test with True as position (should include as orient)
    codeflash_output = AltairPlot.create_legend(True, "True Position"); result = codeflash_output # 941ns -> 745ns (26.3% faster)

def test_create_legend_title_bool():
    # Test with boolean as title
    codeflash_output = AltairPlot.create_legend("bottom", False); result = codeflash_output # 836ns -> 660ns (26.7% faster)

def test_create_legend_title_long_string():
    # Test with a very long title string
    long_title = "A" * 1000
    codeflash_output = AltairPlot.create_legend("top", long_title); result = codeflash_output # 849ns -> 676ns (25.6% faster)

def test_create_legend_position_list():
    # Test with a list as position (should include as orient)
    pos = ["left", "right"]
    codeflash_output = AltairPlot.create_legend(pos, "List Position"); result = codeflash_output # 989ns -> 798ns (23.9% faster)

def test_create_legend_title_list():
    # Test with a list as title
    title = ["Legend", "Title"]
    codeflash_output = AltairPlot.create_legend("top", title); result = codeflash_output # 830ns -> 712ns (16.6% faster)

def test_create_legend_position_dict():
    # Test with a dict as position (should include as orient)
    pos = {"custom": "value"}
    codeflash_output = AltairPlot.create_legend(pos, "Dict Position"); result = codeflash_output # 1.07μs -> 887ns (20.9% faster)

def test_create_legend_title_dict():
    # Test with a dict as title
    title = {"main": "Legend"}
    codeflash_output = AltairPlot.create_legend("top", title); result = codeflash_output # 855ns -> 663ns (29.0% faster)

def test_create_legend_position_none_and_title_none():
    # Both position and title are None
    codeflash_output = AltairPlot.create_legend(None, None); result = codeflash_output # 859ns -> 658ns (30.5% faster)

def test_create_legend_position_none_string():
    # Test with string "None" (should not be treated as None)
    codeflash_output = AltairPlot.create_legend("None", "String None Position"); result = codeflash_output # 898ns -> 743ns (20.9% faster)

def test_create_legend_position_none_case_sensitive():
    # Test with string "NONE" (should not be treated as None)
    codeflash_output = AltairPlot.create_legend("NONE", "Uppercase None Position"); result = codeflash_output # 886ns -> 776ns (14.2% faster)

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

def test_create_legend_large_title():
    # Test with a very large title string
    large_title = "L" * 999
    codeflash_output = AltairPlot.create_legend("top", large_title); result = codeflash_output # 854ns -> 680ns (25.6% faster)

def test_create_legend_large_position_list():
    # Test with a large list as position
    large_pos = list(range(999))
    codeflash_output = AltairPlot.create_legend(large_pos, "Large List Position"); result = codeflash_output # 1.05μs -> 793ns (32.5% faster)

def test_create_legend_large_title_list():
    # Test with a large list as title
    large_title = ["Legend"] * 999
    codeflash_output = AltairPlot.create_legend("bottom", large_title); result = codeflash_output # 879ns -> 713ns (23.3% faster)

def test_create_legend_large_position_dict():
    # Test with a large dict as position
    large_pos = {str(i): i for i in range(999)}
    codeflash_output = AltairPlot.create_legend(large_pos, "Large Dict Position"); result = codeflash_output # 1.15μs -> 897ns (27.8% faster)

def test_create_legend_large_title_dict():
    # Test with a large dict as title
    large_title = {str(i): i for i in range(999)}
    codeflash_output = AltairPlot.create_legend("left", large_title); result = codeflash_output # 927ns -> 743ns (24.8% faster)

def test_create_legend_large_scale_none_positions():
    # Test many "none" positions in a loop
    for i in range(100):
        codeflash_output = AltairPlot.create_legend("none", f"Title {i}"); result = codeflash_output # 14.4μs -> 13.2μs (8.92% faster)

def test_create_legend_large_scale_varied_positions():
    # Test many varied positions in a loop
    for i in range(100):
        pos = f"pos_{i}"
        title = f"title_{i}"
        codeflash_output = AltairPlot.create_legend(pos, title); result = codeflash_output # 25.1μs -> 19.0μs (32.4% faster)

def test_create_legend_large_scale_empty_titles():
    # Test many empty titles in a loop
    for i in range(100):
        codeflash_output = AltairPlot.create_legend("top", ""); result = codeflash_output # 25.1μs -> 18.7μs (34.3% faster)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

To edit these changes git checkout codeflash/optimize-AltairPlot.create_legend-mhwu0cu8 and push.

Codeflash Static Badge

The optimization achieves a **30% speedup** by eliminating unnecessary dictionary operations and intermediate variable assignments. 

**Key optimizations:**

1. **Early returns**: Instead of storing values in a `legend` variable and returning at the end, the optimized code returns immediately when conditions are met, reducing variable assignments and memory operations.

2. **Eliminated dictionary unpacking**: The original code created an intermediate dictionary `{"orient": position} if position else {}` and then unpacked it with `**position`. The optimized version directly constructs the final dictionary in one operation, avoiding the creation and unpacking of temporary objects.

3. **Reduced branching complexity**: The original code used a ternary operator within dictionary unpacking, while the optimized version uses clearer conditional statements that allow for more efficient execution paths.

**Performance impact by test case:**
- **"none" position cases**: 5-13% improvement due to early return eliminating unnecessary variable assignments
- **Valid position cases**: 20-37% improvement from avoiding dictionary creation/unpacking overhead  
- **Empty/falsy position cases**: 28-36% improvement as these benefit most from skipping the intermediate dictionary operations
- **Large-scale tests**: Consistent 30%+ improvements, showing the optimization scales well

The line profiler shows the optimization eliminates the costly `**position` unpacking operation (25.3% of original runtime) and reduces dictionary creation overhead. Since this function appears to be used for UI legend generation, the performance gains would be particularly beneficial in interactive applications where legends are frequently created or updated.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 November 13, 2025 02:50
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash labels Nov 13, 2025
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