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@codeflash-ai codeflash-ai bot commented Oct 28, 2025

📄 14% (0.14x) speedup for load_color in gradio/themes/builder_app.py

⏱️ Runtime : 1.20 milliseconds 1.06 milliseconds (best of 52 runs)

📝 Explanation and details

The optimization replaces a list comprehension with next() for finding the color object, achieving a 13% speedup.

Key optimization:

  • Original: [color for color in colors if color.name == color_name][0] creates a full list then takes the first element
  • Optimized: next((color for color in colors if color.name == color_name), None) stops immediately upon finding the first match

Why this is faster:

  • Early exit: next() stops iterating as soon as it finds a match, while list comprehension processes all elements
  • Memory efficiency: No intermediate list creation
  • Reduced overhead: Generator expression is more efficient than list comprehension for single-item lookups

Performance characteristics:
The optimization is most effective when:

  • The target color appears early in the colors list (14-17% speedup for "red", "green", "gray")
  • Less benefit when the color is later in the list (1-4% for "blue")
  • Still maintains correct error handling for invalid color names

The second list comprehension for building the palette remains unchanged as it's already efficient for the attribute access pattern.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 524 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests and Runtime
import pytest  # used for our unit tests
from gradio.themes.builder_app import load_color


# function to test (as defined in the prompt)
class DummyColor:
    # Simulate the gr.themes.Color class for testing
    def __init__(self, name, palette):
        self.name = name
        for idx, value in zip([50, 100, 200, 300, 400, 500, 600, 700, 800, 900, 950], palette):
            setattr(self, f"c{idx}", value)

# Simulate gr.themes.Color.all
colors = [
    DummyColor("red", ["#ffebee", "#ffcdd2", "#ef9a9a", "#e57373", "#ef5350", "#f44336", "#e53935", "#d32f2f", "#c62828", "#b71c1c", "#a31515"]),
    DummyColor("blue", ["#e3f2fd", "#bbdefb", "#90caf9", "#64b5f6", "#42a5f5", "#2196f3", "#1e88e5", "#1976d2", "#1565c0", "#0d47a1", "#09306b"]),
    DummyColor("green", ["#e8f5e9", "#c8e6c9", "#a5d6a7", "#81c784", "#66bb6a", "#4caf50", "#43a047", "#388e3c", "#2e7d32", "#1b5e20", "#134015"]),
    DummyColor("gray", ["#fafafa", "#f5f5f5", "#eeeeee", "#e0e0e0", "#bdbdbd", "#9e9e9e", "#757575", "#616161", "#424242", "#212121", "#111111"]),
]
palette_range = [50, 100, 200, 300, 400, 500, 600, 700, 800, 900, 950]
from gradio.themes.builder_app import load_color

# unit tests

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

def test_basic_red_palette():
    # Test loading the 'red' palette
    codeflash_output = load_color("red"); result = codeflash_output # 6.77μs -> 5.92μs (14.3% faster)
    expected = ["#ffebee", "#ffcdd2", "#ef9a9a", "#e57373", "#ef5350", "#f44336", "#e53935", "#d32f2f", "#c62828", "#b71c1c", "#a31515"]

def test_basic_blue_palette():
    # Test loading the 'blue' palette
    codeflash_output = load_color("blue"); result = codeflash_output # 6.28μs -> 6.35μs (1.06% slower)
    expected = ["#e3f2fd", "#bbdefb", "#90caf9", "#64b5f6", "#42a5f5", "#2196f3", "#1e88e5", "#1976d2", "#1565c0", "#0d47a1", "#09306b"]

def test_basic_green_palette():
    # Test loading the 'green' palette
    codeflash_output = load_color("green"); result = codeflash_output # 6.24μs -> 6.12μs (1.94% faster)
    expected = ["#e8f5e9", "#c8e6c9", "#a5d6a7", "#81c784", "#66bb6a", "#4caf50", "#43a047", "#388e3c", "#2e7d32", "#1b5e20", "#134015"]

def test_basic_gray_palette():
    # Test loading the 'gray' palette
    codeflash_output = load_color("gray"); result = codeflash_output # 6.15μs -> 5.34μs (15.2% faster)
    expected = ["#fafafa", "#f5f5f5", "#eeeeee", "#e0e0e0", "#bdbdbd", "#9e9e9e", "#757575", "#616161", "#424242", "#212121", "#111111"]

# ----------- EDGE TEST CASES -----------

def test_case_sensitive_color_name():
    # Color names are case-sensitive; "Red" should fail
    with pytest.raises(IndexError):
        load_color("Red") # 3.14μs -> 3.46μs (9.38% slower)

def test_empty_string_color_name():
    # Empty string should fail
    with pytest.raises(IndexError):
        load_color("") # 3.10μs -> 3.46μs (10.5% slower)


def test_numeric_color_name():
    # Numeric color name should fail
    with pytest.raises(IndexError):
        load_color("123") # 3.42μs -> 3.64μs (6.07% slower)

def test_palette_length():
    # Palette must always have 11 colors
    codeflash_output = load_color("red"); result = codeflash_output # 6.62μs -> 5.83μs (13.6% faster)

def test_palette_order():
    # Palette must be in palette_range order
    color_obj = [c for c in colors if c.name == "blue"][0]
    expected = [getattr(color_obj, f"c{i}") for i in palette_range]
    codeflash_output = load_color("blue") # 6.72μs -> 6.79μs (0.884% slower)

def test_palette_values_are_strings():
    # Palette values must be strings
    codeflash_output = load_color("green"); result = codeflash_output # 6.65μs -> 6.31μs (5.41% faster)

def test_palette_values_are_hex():
    # Palette values should look like hex codes
    codeflash_output = load_color("gray"); result = codeflash_output # 6.20μs -> 5.40μs (14.8% faster)
    for color_code in result:
        pass

# ----------- LARGE SCALE TEST CASES -----------



def test_performance_under_many_calls():
    # Test performance: calling load_color 500 times should not be slow
    import time
    start = time.time()
    for _ in range(500):
        load_color("red") # 1.08ms -> 944μs (14.8% faster)
    duration = time.time() - start

# ----------- ADDITIONAL EDGE/ROBUSTNESS TESTS -----------

def test_color_name_with_whitespace():
    # Color name with whitespace should fail
    with pytest.raises(IndexError):
        load_color(" red ") # 3.35μs -> 3.67μs (8.64% slower)

def test_color_name_with_special_characters():
    # Color name with special characters should fail
    with pytest.raises(IndexError):
        load_color("red!") # 3.35μs -> 3.72μs (9.94% slower)




def test_palette_values_are_unique():
    # Palette values for a color should be unique
    codeflash_output = load_color("blue"); result = codeflash_output # 6.67μs -> 6.63μs (0.619% faster)

def test_palette_values_do_not_contain_none():
    # Palette values should not contain None
    codeflash_output = load_color("green"); result = codeflash_output # 6.29μs -> 6.11μs (2.85% faster)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
import pytest
from gradio.themes.builder_app import load_color


# function to test (copied from prompt, with a mock Color class for testing)
class MockColor:
    def __init__(self, name, palette_dict):
        self.name = name
        for k, v in palette_dict.items():
            setattr(self, f"c{k}", v)

class MockThemes:
    class Color:
        @staticmethod
        def all():
            # Return a list of MockColor objects with different names and palettes
            return [
                MockColor("red", {50: "#fff5f5", 100: "#ffe3e3", 200: "#ffc9c9", 300: "#ffa8a8", 400: "#ff8787", 500: "#ff6b6b", 600: "#fa5252", 700: "#f03e3e", 800: "#e03131", 900: "#c92a2a", 950: "#b02525"}),
                MockColor("blue", {50: "#e7f5ff", 100: "#d0ebff", 200: "#a5d8ff", 300: "#74c0fc", 400: "#4dabf7", 500: "#339af0", 600: "#228be6", 700: "#1c7ed6", 800: "#1971c2", 900: "#1864ab", 950: "#174f8f"}),
                MockColor("green", {50: "#ebfbee", 100: "#d3f9d8", 200: "#b2f2bb", 300: "#8ce99a", 400: "#69db7c", 500: "#51cf66", 600: "#40c057", 700: "#37b24d", 800: "#2f9e44", 900: "#2b8a3e", 950: "#237032"}),
                # Add more if needed
            ]

# Palette range as in the source
palette_range = [50, 100, 200, 300, 400, 500, 600, 700, 800, 900, 950]
from gradio.themes.builder_app import load_color

# ---------------------------
# Unit tests for load_color()
# ---------------------------

# 1. Basic Test Cases

def test_load_color_red_palette():
    # Test loading the 'red' color palette
    expected = ["#fff5f5", "#ffe3e3", "#ffc9c9", "#ffa8a8", "#ff8787", "#ff6b6b", "#fa5252", "#f03e3e", "#e03131", "#c92a2a", "#b02525"]
    codeflash_output = load_color("red") # 6.54μs -> 5.58μs (17.2% faster)

def test_load_color_blue_palette():
    # Test loading the 'blue' color palette
    expected = ["#e7f5ff", "#d0ebff", "#a5d8ff", "#74c0fc", "#4dabf7", "#339af0", "#228be6", "#1c7ed6", "#1971c2", "#1864ab", "#174f8f"]
    codeflash_output = load_color("blue") # 6.22μs -> 6.48μs (4.03% slower)

def test_load_color_green_palette():
    # Test loading the 'green' color palette
    expected = ["#ebfbee", "#d3f9d8", "#b2f2bb", "#8ce99a", "#69db7c", "#51cf66", "#40c057", "#37b24d", "#2f9e44", "#2b8a3e", "#237032"]
    codeflash_output = load_color("green") # 6.09μs -> 5.90μs (3.24% faster)

# 2. Edge Test Cases

def test_load_color_invalid_color_name():
    # Test with a color name that does not exist: should raise IndexError
    with pytest.raises(IndexError):
        load_color("notacolor") # 3.09μs -> 3.15μs (2.06% slower)

def test_load_color_case_sensitivity():
    # Test that color names are case sensitive
    with pytest.raises(IndexError):
        load_color("Red") # 3.24μs -> 3.41μs (4.99% slower)

def test_load_color_empty_string():
    # Test with empty string as color name
    with pytest.raises(IndexError):
        load_color("") # 3.13μs -> 3.50μs (10.7% slower)



def test_load_color_palette_range_order():
    # Test that palette_range order is preserved in output
    codeflash_output = load_color("red"); result = codeflash_output # 6.61μs -> 5.70μs (16.0% faster)

# 3. Large Scale Test Cases



def test_load_color_palette_range_extremes(monkeypatch):
    # Test with palette_range containing only extreme values
    extreme_palette_range = [50, 950]
    colors = [MockColor("extreme", {50: "#low", 950: "#high"})]
    # Patch the palette_range locally
    def local_load_color(color_name):
        color = [color for color in colors if color.name == color_name][0]
        return [getattr(color, f"c{i}") for i in extreme_palette_range]

def test_load_color_large_palette(monkeypatch):
    # Test with a color having a large palette (1000 values)
    large_palette_range = list(range(1, 1001))
    palette = {k: f"#{k:04d}" for k in large_palette_range}
    colors = [MockColor("big", palette)]
    def local_load_color(color_name):
        color = [color for color in colors if color.name == color_name][0]
        return [getattr(color, f"c{i}") for i in large_palette_range]
    expected = [f"#{k:04d}" for k in large_palette_range]
# 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-load_color-mhb6lxan and push.

Codeflash

The optimization replaces a list comprehension with `next()` for finding the color object, achieving a **13% speedup**.

**Key optimization:**
- **Original**: `[color for color in colors if color.name == color_name][0]` creates a full list then takes the first element
- **Optimized**: `next((color for color in colors if color.name == color_name), None)` stops immediately upon finding the first match

**Why this is faster:**
- **Early exit**: `next()` stops iterating as soon as it finds a match, while list comprehension processes all elements
- **Memory efficiency**: No intermediate list creation
- **Reduced overhead**: Generator expression is more efficient than list comprehension for single-item lookups

**Performance characteristics:**
The optimization is most effective when:
- The target color appears early in the `colors` list (14-17% speedup for "red", "green", "gray")
- Less benefit when the color is later in the list (1-4% for "blue") 
- Still maintains correct error handling for invalid color names

The second list comprehension for building the palette remains unchanged as it's already efficient for the attribute access pattern.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 October 28, 2025 23:12
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: Medium Optimization Quality according to Codeflash labels Oct 28, 2025
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⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: Medium Optimization Quality according to Codeflash

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