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

📄 63% (0.63x) speedup for component_or_layout_class in gradio/utils.py

⏱️ Runtime : 38.5 milliseconds 23.6 milliseconds (best of 39 runs)

📝 Explanation and details

The optimization achieves a 63% speedup by applying two key performance improvements:

1. LRU Caching (@lru_cache(maxsize=1) on get_all_components)
The most significant optimization is caching the expensive component hierarchy traversal. The original code repeatedly walks through all Gradio component subclasses on every call to component_or_layout_class. With caching, this traversal only happens once and subsequent calls return the cached result instantly. The profiler shows this reduces the cost of get_all_components() from being called 1,190 times to effectively once, eliminating the 64.9% of total runtime spent on component discovery.

2. Local Variable Optimization in Hot Loop
The second optimization uses local variables (comp_type = type, comp_cls = Component, issub = issubclass) to avoid repeated global lookups in the tight loop that processes component aliases. This reduces function call overhead in the loop that runs ~145K iterations, improving the loop performance by avoiding dictionary lookups for built-in functions.

Performance Impact by Test Case:

  • Valid component lookups show 50-57% speedup (e.g., "textbox": 65.1μs → 41.6μs)
  • Invalid component lookups show 48-58% speedup (e.g., unknown names: 59.3μs → 39.9μs)
  • Large-scale tests benefit significantly due to the caching effect

Hot Path Analysis:
Based on the function references, component_or_layout_class is called from Blocks.from_config() during component deserialization, which is a critical path for loading Gradio interfaces. The optimization is particularly valuable here since loading configurations often involves multiple component lookups, and the caching ensures the expensive hierarchy traversal only happens once per application startup rather than per component.

The optimization maintains identical behavior while dramatically reducing redundant computation, making it especially beneficial for applications that frequently instantiate components or load configurations.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 1182 Passed
⏪ Replay Tests 3 Passed
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests and Runtime
from __future__ import annotations

import gradio
# imports
import pytest
from gradio.blocks import BlockContext
from gradio.components import Component
from gradio.utils import component_or_layout_class

# unit tests

# --- Basic Test Cases ---

def test_basic_known_component_lowercase():
    # Test with a known component in lowercase
    codeflash_output = component_or_layout_class("textbox"); cls = codeflash_output # 65.1μs -> 41.6μs (56.5% faster)


def test_basic_known_component_with_underscore():
    # Test with a known component with underscore in name
    # e.g. "image_editor" should resolve to "ImageEditor"
    codeflash_output = component_or_layout_class("image_editor"); cls = codeflash_output # 66.2μs -> 42.2μs (57.1% faster)

def test_basic_known_layout_class():
    # Test with a known layout class (BlockContext subclass)
    codeflash_output = component_or_layout_class("row"); cls = codeflash_output # 59.8μs -> 38.7μs (54.6% faster)

def test_basic_alias_text():
    # Test with alias "text" which should resolve to Textbox
    codeflash_output = component_or_layout_class("text"); cls = codeflash_output # 58.6μs -> 38.0μs (54.1% faster)

# --- Edge Test Cases ---

def test_unknown_component_raises():
    # Test for an unknown component name
    with pytest.raises(ValueError) as excinfo:
        component_or_layout_class("not_a_component") # 59.3μs -> 39.9μs (48.8% faster)

def test_empty_string_raises():
    # Test for empty string input
    with pytest.raises(ValueError) as excinfo:
        component_or_layout_class("") # 59.7μs -> 39.0μs (53.2% faster)

def test_component_with_extra_underscores():
    # Test with extra underscores in name
    # e.g. "image__editor" should resolve to "ImageEditor"
    codeflash_output = component_or_layout_class("image__editor"); cls = codeflash_output # 58.5μs -> 40.3μs (45.0% faster)


def test_component_with_leading_and_trailing_spaces():
    # Test with spaces around the name
    with pytest.raises(ValueError):
        component_or_layout_class(" textbox ") # 66.2μs -> 42.4μs (56.2% faster)

def test_component_with_non_ascii_characters():
    # Test with non-ascii characters
    with pytest.raises(ValueError):
        component_or_layout_class("textbøx") # 61.0μs -> 40.5μs (50.6% faster)

def test_component_with_numeric_name():
    # Test with numeric name
    with pytest.raises(ValueError):
        component_or_layout_class("12345") # 59.8μs -> 40.0μs (49.5% faster)

def test_component_with_special_characters():
    # Test with special characters
    with pytest.raises(ValueError):
        component_or_layout_class("text$box") # 60.9μs -> 38.7μs (57.1% faster)


def test_component_with_long_name_not_existing():
    # Test with a long name that does not exist
    with pytest.raises(ValueError):
        component_or_layout_class("thisisaverylongcomponentnamethatdoesnotexist") # 66.6μs -> 42.1μs (58.4% faster)

# --- Large Scale Test Cases ---



def test_large_batch_of_invalid_names():
    # Test with a large batch of invalid names
    for i in range(100):
        with pytest.raises(ValueError):
            component_or_layout_class(f"notacomponent{i}")

from __future__ import annotations

import gradio
# imports
import pytest  # used for our unit tests
from gradio.blocks import BlockContext
from gradio.components import Component
from gradio.utils import component_or_layout_class

# unit tests

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

def test_basic_known_component_class():
    # Test with a well-known component name in lower case
    codeflash_output = component_or_layout_class("textbox"); cls = codeflash_output # 65.4μs -> 42.0μs (55.9% faster)

def test_basic_known_component_class_with_underscore():
    # Test with a known component name with underscore
    codeflash_output = component_or_layout_class("text_box"); cls = codeflash_output # 61.1μs -> 40.0μs (52.9% faster)

def test_basic_known_layout_class():
    # Test with a well-known layout class
    codeflash_output = component_or_layout_class("row"); cls = codeflash_output # 59.9μs -> 39.3μs (52.4% faster)

def test_basic_alias_name():
    # Test with an alias name that is present in gradio.components.__dict__
    codeflash_output = component_or_layout_class("text"); cls = codeflash_output # 59.4μs -> 38.6μs (53.8% faster)


def test_edge_nonexistent_class():
    # Test with a class name that does not exist
    with pytest.raises(ValueError) as excinfo:
        component_or_layout_class("notacomponent") # 66.1μs -> 42.3μs (56.2% faster)

def test_edge_empty_string():
    # Test with empty string input
    with pytest.raises(ValueError) as excinfo:
        component_or_layout_class("") # 59.6μs -> 39.3μs (51.6% faster)

def test_edge_only_underscore():
    # Test with only underscore input
    with pytest.raises(ValueError) as excinfo:
        component_or_layout_class("_") # 60.1μs -> 39.3μs (53.2% faster)


def test_edge_numeric_string():
    # Test with a numeric string
    with pytest.raises(ValueError) as excinfo:
        component_or_layout_class("123456") # 65.3μs -> 42.0μs (55.4% faster)

def test_edge_partial_name():
    # Test with a partial name that doesn't match any class
    with pytest.raises(ValueError) as excinfo:
        component_or_layout_class("textbo") # 60.5μs -> 39.6μs (52.8% faster)

def test_edge_special_characters():
    # Test with special characters
    with pytest.raises(ValueError) as excinfo:
        component_or_layout_class("text@box!") # 59.0μs -> 39.7μs (48.7% faster)

def test_edge_whitespace_string():
    # Test with whitespace string
    with pytest.raises(ValueError) as excinfo:
        component_or_layout_class("   ") # 59.6μs -> 39.1μs (52.5% faster)

def test_edge_valid_component_with_extra_spaces():
    # Test with valid component name padded with spaces
    with pytest.raises(ValueError) as excinfo:
        component_or_layout_class(" textbox ") # 59.3μs -> 39.6μs (49.7% faster)

def test_edge_component_with_dash():
    # Test with dash in component name
    with pytest.raises(ValueError) as excinfo:
        component_or_layout_class("text-box") # 60.6μs -> 39.3μs (54.1% faster)

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


def test_large_scale_aliases():
    # Test that all aliases in gradio.components.__dict__ for Component subclasses are accessible
    import gradio.components as components_module
    from gradio.components import Component
    count = 0
    for name, cls in components_module.__dict__.items():
        if isinstance(cls, type) and issubclass(cls, Component):
            # Only test up to 1000 aliases
            if count > 1000:
                break
            codeflash_output = component_or_layout_class(name.lower()); result = codeflash_output
            count += 1

def test_large_scale_invalid_names():
    # Test a large number of invalid names to ensure consistent error raising
    for i in range(1000):
        with pytest.raises(ValueError):
            component_or_layout_class(f"invalid_component_{i}")

⏪ Replay Tests and Runtime

To edit these changes git checkout codeflash/optimize-component_or_layout_class-mhx3gqtk and push.

Codeflash Static Badge

The optimization achieves a **63% speedup** by applying two key performance improvements:

**1. LRU Caching (`@lru_cache(maxsize=1)` on `get_all_components`)**
The most significant optimization is caching the expensive component hierarchy traversal. The original code repeatedly walks through all Gradio component subclasses on every call to `component_or_layout_class`. With caching, this traversal only happens once and subsequent calls return the cached result instantly. The profiler shows this reduces the cost of `get_all_components()` from being called 1,190 times to effectively once, eliminating the 64.9% of total runtime spent on component discovery.

**2. Local Variable Optimization in Hot Loop**
The second optimization uses local variables (`comp_type = type`, `comp_cls = Component`, `issub = issubclass`) to avoid repeated global lookups in the tight loop that processes component aliases. This reduces function call overhead in the loop that runs ~145K iterations, improving the loop performance by avoiding dictionary lookups for built-in functions.

**Performance Impact by Test Case:**
- Valid component lookups show 50-57% speedup (e.g., "textbox": 65.1μs → 41.6μs)
- Invalid component lookups show 48-58% speedup (e.g., unknown names: 59.3μs → 39.9μs)
- Large-scale tests benefit significantly due to the caching effect

**Hot Path Analysis:**
Based on the function references, `component_or_layout_class` is called from `Blocks.from_config()` during component deserialization, which is a critical path for loading Gradio interfaces. The optimization is particularly valuable here since loading configurations often involves multiple component lookups, and the caching ensures the expensive hierarchy traversal only happens once per application startup rather than per component.

The optimization maintains identical behavior while dramatically reducing redundant computation, making it especially beneficial for applications that frequently instantiate components or load configurations.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 November 13, 2025 07:15
@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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