Skip to content

Conversation

@codeflash-ai
Copy link

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

📄 57% (0.57x) speedup for method_box in gradio/external_utils.py

⏱️ Runtime : 2.61 milliseconds 1.67 milliseconds (best of 92 runs)

📝 Explanation and details

The optimization achieves a 56% speedup by eliminating redundant work on every function call through two key changes:

1. Module-level constant extraction: The biggest performance gain comes from moving color_map to a module-level constant _COLOR_MAP. The line profiler shows the original code spent ~35% of its time (lines 4-8) repeatedly constructing the same dictionary on every call. By extracting it as a module constant, this dictionary is created only once when the module loads, eliminating this overhead entirely.

2. Single method.upper() call: The original code called method.upper() twice - once for dictionary lookup and once in the final string formatting. The optimization stores method.upper() as method_upper and reuses it, avoiding the redundant string operation.

Impact on workloads: Based on the function references, method_box() is called in the OpenAPI interface generator within a loop that processes multiple API endpoints. Each endpoint generates HTML with method labels, making this function a hot path where the 56% speedup directly benefits UI generation performance. The optimization is particularly effective for:

  • Repeated calls with known methods (GET, POST, etc.) - showing 55-60% speedups in batch tests
  • Mixed case inputs - showing up to 80% speedups due to eliminating redundant upper() calls
  • Large-scale operations - maintaining consistent 55-57% improvements across 1000+ iterations

The optimization preserves all original behavior including case-insensitive method handling, unknown method fallback to default color, and identical HTML output formatting.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 5664 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.external_utils import method_box

# unit tests

# --- Basic Test Cases ---

def test_method_box_get():
    # Test basic GET method
    codeflash_output = method_box("GET"); result = codeflash_output # 2.21μs -> 1.47μs (51.1% faster)

def test_method_box_post():
    # Test basic POST method
    codeflash_output = method_box("POST"); result = codeflash_output # 1.90μs -> 1.41μs (35.4% faster)

def test_method_box_put():
    # Test basic PUT method
    codeflash_output = method_box("PUT"); result = codeflash_output # 1.95μs -> 1.39μs (39.8% faster)

def test_method_box_delete():
    # Test basic DELETE method
    codeflash_output = method_box("DELETE"); result = codeflash_output # 1.94μs -> 1.38μs (40.2% faster)

def test_method_box_patch():
    # Test basic PATCH method
    codeflash_output = method_box("PATCH"); result = codeflash_output # 1.95μs -> 1.40μs (39.7% faster)

# --- Edge Test Cases ---

def test_method_box_case_insensitivity():
    # Test various casings for method names
    codeflash_output = method_box("get") # 1.99μs -> 1.41μs (41.3% faster)
    codeflash_output = method_box("get") # 791ns -> 475ns (66.5% faster)
    codeflash_output = method_box("PoSt") # 732ns -> 512ns (43.0% faster)
    codeflash_output = method_box("PoSt") # 442ns -> 271ns (63.1% faster)
    codeflash_output = method_box("put") # 543ns -> 418ns (29.9% faster)
    codeflash_output = method_box("put") # 442ns -> 276ns (60.1% faster)
    codeflash_output = method_box("delete") # 624ns -> 399ns (56.4% faster)
    codeflash_output = method_box("delete") # 460ns -> 282ns (63.1% faster)
    codeflash_output = method_box("patch") # 628ns -> 389ns (61.4% faster)
    codeflash_output = method_box("patch") # 445ns -> 286ns (55.6% faster)

def test_method_box_unknown_method():
    # Test unknown method returns default color and uppercases text
    codeflash_output = method_box("OPTIONS"); result = codeflash_output # 1.83μs -> 1.35μs (36.0% faster)

def test_method_box_empty_string():
    # Test empty string input
    codeflash_output = method_box(""); result = codeflash_output # 1.79μs -> 1.21μs (48.1% faster)

def test_method_box_whitespace():
    # Test whitespace input
    codeflash_output = method_box("   "); result = codeflash_output # 1.97μs -> 1.43μs (38.0% faster)

def test_method_box_numeric_string():
    # Test numeric string input
    codeflash_output = method_box("123"); result = codeflash_output # 1.98μs -> 1.33μs (48.7% faster)

def test_method_box_special_characters():
    # Test method names with special characters
    codeflash_output = method_box("!@#"); result = codeflash_output # 1.92μs -> 1.43μs (34.2% faster)

def test_method_box_lowercase_unknown():
    # Test lowercase unknown method
    codeflash_output = method_box("foobar"); result = codeflash_output # 1.98μs -> 1.37μs (44.6% faster)

def test_method_box_leading_trailing_spaces():
    # Test input with leading/trailing spaces
    codeflash_output = method_box("  GET  "); result = codeflash_output # 2.01μs -> 1.38μs (45.5% faster)

def test_method_box_none_string():
    # Test input "None" as string
    codeflash_output = method_box("None"); result = codeflash_output # 1.91μs -> 1.31μs (45.2% faster)

def test_method_box_long_string():
    # Test a very long method name string
    long_method = "A" * 100
    codeflash_output = method_box(long_method); result = codeflash_output # 2.22μs -> 1.56μs (42.2% faster)

def test_method_box_html_injection():
    # Test string with HTML tags
    method = "<script>alert('x')</script>"
    codeflash_output = method_box(method); result = codeflash_output # 1.92μs -> 1.34μs (43.9% faster)

# --- Large Scale Test Cases ---

def test_method_box_many_unique_methods():
    # Test a large number of unique method names
    for i in range(100):
        method = f"METHOD{i}"
        codeflash_output = method_box(method); result = codeflash_output # 48.8μs -> 31.1μs (57.1% faster)

def test_method_box_large_known_methods():
    # Test large batch of known methods (cycling through known ones)
    known_methods = ["GET", "POST", "PUT", "DELETE", "PATCH"]
    color_map = {
        "GET": "#61affe",
        "POST": "#49cc90",
        "PUT": "#fca130",
        "DELETE": "#f93e3e",
        "PATCH": "#50e3c2",
    }
    for i in range(200):
        method = known_methods[i % len(known_methods)]
        codeflash_output = method_box(method); result = codeflash_output # 93.3μs -> 59.7μs (56.3% faster)

def test_method_box_large_unknown_methods():
    # Test large batch of unknown methods
    for i in range(200):
        method = f"UNKNOWN{i}"
        codeflash_output = method_box(method); result = codeflash_output # 94.5μs -> 60.8μs (55.4% faster)

def test_method_box_performance_large_input():
    # Test performance with long string input (not actual timing, but functional)
    method = "X" * 1000
    codeflash_output = method_box(method); result = codeflash_output # 4.21μs -> 3.09μs (36.3% faster)

def test_method_box_batch_mixed_methods():
    # Test batch of mixed known and unknown methods
    known_methods = ["GET", "POST", "PUT", "DELETE", "PATCH"]
    for i in range(100):
        if i % 2 == 0:
            method = known_methods[i % len(known_methods)]
            color_map = {
                "GET": "#61affe",
                "POST": "#49cc90",
                "PUT": "#fca130",
                "DELETE": "#f93e3e",
                "PATCH": "#50e3c2",
            }
            codeflash_output = method_box(method); result = codeflash_output
        else:
            method = f"unknown{i}"
            codeflash_output = method_box(method); result = codeflash_output
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
import pytest  # used for our unit tests
from gradio.external_utils import method_box

# unit tests

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

def test_get_method_basic():
    # Test GET method (uppercase)
    codeflash_output = method_box("GET"); result = codeflash_output # 1.71μs -> 1.29μs (32.6% faster)

def test_post_method_basic():
    # Test POST method (uppercase)
    codeflash_output = method_box("POST"); result = codeflash_output # 1.82μs -> 1.36μs (33.7% faster)

def test_put_method_basic():
    # Test PUT method (uppercase)
    codeflash_output = method_box("PUT"); result = codeflash_output # 1.93μs -> 1.36μs (42.2% faster)

def test_delete_method_basic():
    # Test DELETE method (uppercase)
    codeflash_output = method_box("DELETE"); result = codeflash_output # 1.93μs -> 1.40μs (37.9% faster)

def test_patch_method_basic():
    # Test PATCH method (uppercase)
    codeflash_output = method_box("PATCH"); result = codeflash_output # 1.85μs -> 1.38μs (34.4% faster)

def test_lowercase_methods():
    # Test lowercase input for each method
    codeflash_output = method_box("get") # 1.98μs -> 1.42μs (39.9% faster)
    codeflash_output = method_box("get") # 825ns -> 476ns (73.3% faster)
    codeflash_output = method_box("post") # 763ns -> 465ns (64.1% faster)
    codeflash_output = method_box("post") # 464ns -> 275ns (68.7% faster)
    codeflash_output = method_box("put") # 481ns -> 383ns (25.6% faster)
    codeflash_output = method_box("put") # 444ns -> 276ns (60.9% faster)
    codeflash_output = method_box("delete") # 652ns -> 396ns (64.6% faster)
    codeflash_output = method_box("delete") # 452ns -> 281ns (60.9% faster)
    codeflash_output = method_box("patch") # 620ns -> 405ns (53.1% faster)
    codeflash_output = method_box("patch") # 444ns -> 278ns (59.7% faster)

def test_mixed_case_methods():
    # Test mixed case input for each method
    codeflash_output = method_box("GeT") # 1.62μs -> 1.18μs (37.1% faster)
    codeflash_output = method_box("GeT") # 803ns -> 445ns (80.4% faster)
    codeflash_output = method_box("PoSt") # 688ns -> 412ns (67.0% faster)
    codeflash_output = method_box("PoSt") # 433ns -> 282ns (53.5% faster)
    codeflash_output = method_box("pUt") # 478ns -> 306ns (56.2% faster)
    codeflash_output = method_box("pUt") # 440ns -> 277ns (58.8% faster)
    codeflash_output = method_box("DeLeTe") # 560ns -> 348ns (60.9% faster)
    codeflash_output = method_box("DeLeTe") # 454ns -> 272ns (66.9% faster)
    codeflash_output = method_box("PaTcH") # 551ns -> 384ns (43.5% faster)
    codeflash_output = method_box("PaTcH") # 445ns -> 275ns (61.8% faster)

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

def test_unknown_method():
    # Test unknown method returns default color and uppercased label
    codeflash_output = method_box("OPTIONS"); result = codeflash_output # 1.78μs -> 1.22μs (45.8% faster)

def test_empty_string():
    # Test empty string input
    codeflash_output = method_box(""); result = codeflash_output # 1.81μs -> 1.19μs (53.2% faster)

def test_whitespace_method():
    # Test method with whitespace only
    codeflash_output = method_box("   "); result = codeflash_output # 1.98μs -> 1.33μs (48.7% faster)

def test_method_with_leading_trailing_spaces():
    # Test method with leading/trailing spaces
    codeflash_output = method_box(" get "); result = codeflash_output # 2.01μs -> 1.43μs (40.5% faster)

def test_numeric_method():
    # Test numeric string as method
    codeflash_output = method_box("123"); result = codeflash_output # 1.97μs -> 1.35μs (45.5% faster)

def test_special_characters_method():
    # Test special characters as method
    codeflash_output = method_box("@$#"); result = codeflash_output # 1.92μs -> 1.41μs (35.8% faster)

def test_none_input():
    # Test None as input should raise AttributeError (since .upper() fails)
    with pytest.raises(AttributeError):
        method_box(None) # 2.23μs -> 1.63μs (37.1% faster)

def test_non_string_input():
    # Test integer input should raise AttributeError
    with pytest.raises(AttributeError):
        method_box(123) # 2.20μs -> 1.67μs (32.1% faster)

def test_list_input():
    # Test list input should raise AttributeError
    with pytest.raises(AttributeError):
        method_box(["GET"]) # 2.18μs -> 1.56μs (40.1% faster)

def test_dict_input():
    # Test dict input should raise AttributeError
    with pytest.raises(AttributeError):
        method_box({"method": "GET"}) # 2.15μs -> 1.51μs (42.3% faster)

def test_html_structure():
    # Test that the returned string is a valid HTML span with correct style attributes
    codeflash_output = method_box("GET"); result = codeflash_output # 2.09μs -> 1.50μs (39.0% faster)

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

def test_many_unique_methods():
    # Test with 1000 unique method names, all should fallback to default color
    for i in range(1000):
        method = f"METHOD{i}"
        codeflash_output = method_box(method); result = codeflash_output # 455μs -> 289μs (57.5% faster)

def test_many_known_methods():
    # Test with 1000 repetitions of known methods to check performance and correctness
    for i in range(200):
        codeflash_output = method_box("GET") # 89.8μs -> 57.7μs (55.5% faster)
        codeflash_output = method_box("POST")
        codeflash_output = method_box("PUT") # 88.9μs -> 57.0μs (56.1% faster)
        codeflash_output = method_box("DELETE")
        codeflash_output = method_box("PATCH") # 88.5μs -> 56.8μs (55.7% faster)

def test_large_input_string():
    # Test with a very long string as method
    long_method = "A" * 500
    codeflash_output = method_box(long_method); result = codeflash_output # 3.40μs -> 2.23μs (52.4% faster)

def test_large_input_with_known_method_inside():
    # Test with a long string containing a known method, but not exactly matching
    long_method = "GET" + "A" * 497
    codeflash_output = method_box(long_method); result = codeflash_output # 2.98μs -> 2.10μs (42.0% faster)

def test_performance_under_load():
    # Test that function works quickly for 1000 calls
    import time
    start = time.time()
    for i in range(1000):
        method_box("GET") # 433μs -> 270μs (59.8% faster)
        method_box("UNKNOWN") # 445μs -> 284μs (56.8% faster)
        method_box(str(i)) # 456μs -> 290μs (56.9% faster)
    end = time.time()
# 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-method_box-mhwt7xrb and push.

Codeflash Static Badge

The optimization achieves a **56% speedup** by eliminating redundant work on every function call through two key changes:

**1. Module-level constant extraction:** The biggest performance gain comes from moving `color_map` to a module-level constant `_COLOR_MAP`. The line profiler shows the original code spent ~35% of its time (lines 4-8) repeatedly constructing the same dictionary on every call. By extracting it as a module constant, this dictionary is created only once when the module loads, eliminating this overhead entirely.

**2. Single method.upper() call:** The original code called `method.upper()` twice - once for dictionary lookup and once in the final string formatting. The optimization stores `method.upper()` as `method_upper` and reuses it, avoiding the redundant string operation.

**Impact on workloads:** Based on the function references, `method_box()` is called in the OpenAPI interface generator within a loop that processes multiple API endpoints. Each endpoint generates HTML with method labels, making this function a hot path where the 56% speedup directly benefits UI generation performance. The optimization is particularly effective for:

- **Repeated calls with known methods** (GET, POST, etc.) - showing 55-60% speedups in batch tests
- **Mixed case inputs** - showing up to 80% speedups due to eliminating redundant upper() calls
- **Large-scale operations** - maintaining consistent 55-57% improvements across 1000+ iterations

The optimization preserves all original behavior including case-insensitive method handling, unknown method fallback to default color, and identical HTML output formatting.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 November 13, 2025 02:28
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash labels Nov 13, 2025
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash

Projects

None yet

Development

Successfully merging this pull request may close these issues.

1 participant