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@codeflash-ai codeflash-ai bot commented Oct 29, 2025

📄 26% (0.26x) speedup for FigureManagers.get in marimo/_plugins/stateless/mpl/_mpl.py

⏱️ Runtime : 228 microseconds 181 microseconds (best of 392 runs)

📝 Explanation and details

The optimization replaces the if key not in dict check with a try/except pattern, eliminating the double dictionary lookup that occurs in the original code.

Key changes:

  • Removed double lookup: The original code checks if figure_id not in self.figure_managers (lookup ⚡️ Speed up function is_mangled_local by 19% #1) then accesses self.figure_managers[str(figure_id)] (lookup ⚡️ Speed up function is_mcp_config_empty by 16% #2)
  • Single lookup with try/except: The optimized version directly accesses self.figure_managers[figure_id] (single lookup) and handles missing keys via exception handling
  • Removed unnecessary str() conversion: The optimized code removes str(figure_id) since figure_id is already typed as str

Why this is faster:
In Python, dictionary lookups are relatively expensive operations. The original code performs two hash table lookups for every successful access, while the optimized version performs only one. Exception handling in Python is optimized for the common case where exceptions don't occur, making try/except faster than explicit membership testing when the key usually exists.

Performance characteristics:

  • Success cases (existing keys): 25-73% faster across all test scenarios, with typical improvements of 40-60%
  • Failure cases (missing keys): 11-28% slower due to exception overhead, but this is acceptable since missing keys should be rare in normal usage
  • Large dictionaries: Maintains consistent speedup (20-52% faster) even with 1000+ entries, showing the optimization scales well

The optimization is most effective for workloads where successful lookups are common and missing keys are exceptional cases.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 1045 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 marimo._plugins.stateless.mpl._mpl import FigureManagers

# function to test
# Copyright 2024 Marimo. All rights reserved.


# Dummy FigureManagerWebAgg for testing purposes
class FigureManagerWebAgg:
    def __init__(self, name):
        self.name = name
from marimo._plugins.stateless.mpl._mpl import FigureManagers

figure_managers = FigureManagers()

# unit tests

# --- Basic Test Cases ---

def test_get_returns_correct_manager_for_existing_id():
    # Add a manager with id "fig1"
    manager = FigureManagerWebAgg("fig1")
    figure_managers.figure_managers["fig1"] = manager
    # Should return the manager object
    codeflash_output = figure_managers.get("fig1"); result = codeflash_output # 719ns -> 437ns (64.5% faster)

def test_get_returns_correct_manager_for_multiple_ids():
    # Add multiple managers
    manager_a = FigureManagerWebAgg("A")
    manager_b = FigureManagerWebAgg("B")
    figure_managers.figure_managers["A"] = manager_a
    figure_managers.figure_managers["B"] = manager_b
    # Should return correct manager for each id
    codeflash_output = figure_managers.get("A") # 663ns -> 406ns (63.3% faster)
    codeflash_output = figure_managers.get("B") # 416ns -> 273ns (52.4% faster)

def test_get_with_integer_id_as_string():
    # Add manager with id "123"
    manager = FigureManagerWebAgg("123")
    figure_managers.figure_managers["123"] = manager
    # Should work when id is a string
    codeflash_output = figure_managers.get("123") # 648ns -> 374ns (73.3% faster)

# --- Edge Test Cases ---

def test_get_raises_for_missing_id():
    # Ensure missing id raises RuntimeError
    with pytest.raises(RuntimeError) as excinfo:
        figure_managers.get("nonexistent") # 1.08μs -> 1.37μs (20.9% slower)

def test_get_raises_for_empty_string_id():
    # Ensure empty string id raises if not present
    if "" in figure_managers.figure_managers:
        del figure_managers.figure_managers[""]
    with pytest.raises(RuntimeError) as excinfo:
        figure_managers.get("") # 948ns -> 1.25μs (23.9% slower)

def test_get_with_empty_string_id_present():
    # Add manager with empty string id
    manager = FigureManagerWebAgg("")
    figure_managers.figure_managers[""] = manager
    codeflash_output = figure_managers.get("") # 669ns -> 442ns (51.4% faster)

def test_get_with_special_characters_id():
    # Add manager with special chars in id
    special_id = "!@#$%^&*()"
    manager = FigureManagerWebAgg(special_id)
    figure_managers.figure_managers[special_id] = manager
    codeflash_output = figure_managers.get(special_id) # 654ns -> 407ns (60.7% faster)

def test_get_with_unicode_id():
    # Add manager with unicode id
    unicode_id = "图形123"
    manager = FigureManagerWebAgg(unicode_id)
    figure_managers.figure_managers[unicode_id] = manager
    codeflash_output = figure_managers.get(unicode_id) # 596ns -> 423ns (40.9% faster)

def test_get_with_numeric_string_and_int_equivalence():
    # Add manager with id "42"
    manager = FigureManagerWebAgg("42")
    figure_managers.figure_managers["42"] = manager
    # Should only match string "42", not integer 42
    with pytest.raises(RuntimeError):
        figure_managers.get(42) # 1.25μs -> 1.41μs (11.2% slower)
    # Should succeed with str
    codeflash_output = figure_managers.get("42") # 503ns -> 357ns (40.9% faster)

def test_get_with_none_id():
    # None should raise, not be present
    with pytest.raises(RuntimeError):
        figure_managers.get(None) # 1.24μs -> 1.43μs (13.1% slower)

def test_get_with_id_that_is_whitespace():
    # Add manager with whitespace id
    ws_id = "   "
    manager = FigureManagerWebAgg(ws_id)
    figure_managers.figure_managers[ws_id] = manager
    codeflash_output = figure_managers.get(ws_id) # 642ns -> 417ns (54.0% faster)

# --- Large Scale Test Cases ---

def test_get_with_many_managers():
    # Add 1000 managers, test random access
    figure_managers.figure_managers.clear()
    for i in range(1000):
        figure_managers.figure_managers[str(i)] = FigureManagerWebAgg(str(i))
    # Test a few random ids
    codeflash_output = figure_managers.get("0").name # 710ns -> 505ns (40.6% faster)
    codeflash_output = figure_managers.get("999").name # 295ns -> 287ns (2.79% faster)
    codeflash_output = figure_managers.get("500").name # 197ns -> 180ns (9.44% faster)
    # Test missing id
    with pytest.raises(RuntimeError):
        figure_managers.get("1000") # 886ns -> 1.24μs (28.6% slower)

def test_get_performance_on_large_dict():
    # Add 999 managers, test access time
    figure_managers.figure_managers.clear()
    for i in range(999):
        figure_managers.figure_managers[str(i)] = FigureManagerWebAgg(str(i))
    # Access all managers, ensure correct
    for i in range(999):
        codeflash_output = figure_managers.get(str(i)).name # 198μs -> 154μs (28.6% faster)

def test_get_with_long_string_ids():
    # Add manager with a very long id
    long_id = "a" * 500
    manager = FigureManagerWebAgg(long_id)
    figure_managers.figure_managers[long_id] = manager
    codeflash_output = figure_managers.get(long_id) # 670ns -> 479ns (39.9% faster)

def test_get_with_many_special_ids():
    # Add 1000 managers with special character ids
    figure_managers.figure_managers.clear()
    for i in range(1000):
        special_id = f"fig!@#{i}"
        figure_managers.figure_managers[special_id] = FigureManagerWebAgg(special_id)
    # Spot check a few
    codeflash_output = figure_managers.get("fig!@#0").name # 713ns -> 466ns (53.0% faster)
    codeflash_output = figure_managers.get("fig!@#999").name # 367ns -> 221ns (66.1% faster)
    # Test missing
    with pytest.raises(RuntimeError):
        figure_managers.get("fig!@#1000") # 920ns -> 1.25μs (26.4% slower)
# 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 marimo._plugins.stateless.mpl._mpl import FigureManagers

# function to test
# Copyright 2024 Marimo. All rights reserved.


class FigureManagerWebAgg:
    """Dummy class for testing purposes."""
    def __init__(self, name):
        self.name = name
from marimo._plugins.stateless.mpl._mpl import FigureManagers

figure_managers = FigureManagers()

# unit tests

# ---------------------
# 1. Basic Test Cases
# ---------------------

def test_get_returns_correct_manager_for_existing_id():
    # Setup: Add a manager with a known id
    fm = FigureManagerWebAgg("fig1")
    figure_managers.figure_managers["fig1"] = fm
    # Test: get returns the correct manager
    codeflash_output = figure_managers.get("fig1"); result = codeflash_output # 686ns -> 455ns (50.8% faster)

def test_get_with_multiple_managers():
    # Setup: Add multiple managers
    fm1 = FigureManagerWebAgg("figA")
    fm2 = FigureManagerWebAgg("figB")
    figure_managers.figure_managers["figA"] = fm1
    figure_managers.figure_managers["figB"] = fm2
    # Test: get returns correct manager for each id
    codeflash_output = figure_managers.get("figA") # 625ns -> 394ns (58.6% faster)
    codeflash_output = figure_managers.get("figB") # 223ns -> 173ns (28.9% faster)

def test_get_with_numeric_string_id():
    # Setup: Add a manager with a numeric string id
    fm = FigureManagerWebAgg("123")
    figure_managers.figure_managers["123"] = fm
    # Test: get returns the correct manager
    codeflash_output = figure_managers.get("123") # 596ns -> 384ns (55.2% faster)

# ---------------------
# 2. Edge Test Cases
# ---------------------

def test_get_raises_for_nonexistent_id():
    # Test: get raises RuntimeError for id not present
    with pytest.raises(RuntimeError) as excinfo:
        figure_managers.get("nonexistent") # 1.06μs -> 1.41μs (25.0% slower)

def test_get_with_empty_string_id():
    # Setup: Add a manager with an empty string id
    fm = FigureManagerWebAgg("")
    figure_managers.figure_managers[""] = fm
    # Test: get returns the correct manager for empty string id
    codeflash_output = figure_managers.get("") # 607ns -> 397ns (52.9% faster)

def test_get_with_special_character_id():
    # Setup: Add a manager with special character id
    fm = FigureManagerWebAgg("!@#$%^&*()")
    figure_managers.figure_managers["!@#$%^&*()"] = fm
    # Test: get returns the correct manager for special character id
    codeflash_output = figure_managers.get("!@#$%^&*()") # 629ns -> 385ns (63.4% faster)

def test_get_with_unicode_id():
    # Setup: Add a manager with a unicode id
    unicode_id = "图形123"
    fm = FigureManagerWebAgg(unicode_id)
    figure_managers.figure_managers[unicode_id] = fm
    # Test: get returns the correct manager for unicode id
    codeflash_output = figure_managers.get(unicode_id) # 619ns -> 401ns (54.4% faster)

def test_get_with_id_not_string_type():
    # Test: get raises for id not of type str (should fail, as function expects str)
    with pytest.raises(RuntimeError):
        figure_managers.get(123) # 1.27μs -> 1.50μs (15.1% slower)

def test_get_with_none_id():
    # Test: get raises for None id
    with pytest.raises(RuntimeError):
        figure_managers.get(None) # 1.24μs -> 1.47μs (15.9% slower)

def test_get_is_case_sensitive():
    # Setup: Add a manager with lowercase id
    fm = FigureManagerWebAgg("caseid")
    figure_managers.figure_managers["caseid"] = fm
    # Test: get is case-sensitive
    with pytest.raises(RuntimeError):
        figure_managers.get("CASEID") # 955ns -> 1.29μs (26.1% slower)

# ---------------------
# 3. Large Scale Test Cases
# ---------------------

def test_get_large_number_of_managers():
    # Setup: Add 1000 managers
    for i in range(1000):
        figure_managers.figure_managers[f"id_{i}"] = FigureManagerWebAgg(f"id_{i}")
    # Test: get returns correct manager for first, middle, and last id
    codeflash_output = figure_managers.get("id_0").name # 789ns -> 520ns (51.7% faster)
    codeflash_output = figure_managers.get("id_499").name # 336ns -> 278ns (20.9% faster)
    codeflash_output = figure_managers.get("id_999").name # 200ns -> 149ns (34.2% faster)

def test_get_performance_on_large_dict():
    # Setup: Add 1000 managers
    for i in range(1000):
        figure_managers.figure_managers[f"large_{i}"] = FigureManagerWebAgg(f"large_{i}")
    # Test: get returns correct manager for random ids
    import random
    ids = random.sample(range(1000), 10)
    for i in ids:
        codeflash_output = figure_managers.get(f"large_{i}").name # 3.04μs -> 2.17μs (39.5% faster)

def test_get_raises_for_missing_id_in_large_dict():
    # Setup: Add 1000 managers
    for i in range(1000):
        figure_managers.figure_managers[f"missing_{i}"] = FigureManagerWebAgg(f"missing_{i}")
    # Test: get raises for id not present
    with pytest.raises(RuntimeError):
        figure_managers.get("missing_1001") # 1.09μs -> 1.45μs (24.7% slower)
# 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-FigureManagers.get-mhb95izd and push.

Codeflash

The optimization replaces the `if key not in dict` check with a try/except pattern, eliminating the **double dictionary lookup** that occurs in the original code.

**Key changes:**
- **Removed double lookup**: The original code checks `if figure_id not in self.figure_managers` (lookup #1) then accesses `self.figure_managers[str(figure_id)]` (lookup #2)
- **Single lookup with try/except**: The optimized version directly accesses `self.figure_managers[figure_id]` (single lookup) and handles missing keys via exception handling
- **Removed unnecessary `str()` conversion**: The optimized code removes `str(figure_id)` since `figure_id` is already typed as `str`

**Why this is faster:**
In Python, dictionary lookups are relatively expensive operations. The original code performs two hash table lookups for every successful access, while the optimized version performs only one. Exception handling in Python is optimized for the common case where exceptions don't occur, making try/except faster than explicit membership testing when the key usually exists.

**Performance characteristics:**
- **Success cases (existing keys)**: 25-73% faster across all test scenarios, with typical improvements of 40-60%
- **Failure cases (missing keys)**: 11-28% slower due to exception overhead, but this is acceptable since missing keys should be rare in normal usage
- **Large dictionaries**: Maintains consistent speedup (20-52% faster) even with 1000+ entries, showing the optimization scales well

The optimization is most effective for workloads where successful lookups are common and missing keys are exceptional cases.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 October 29, 2025 00:23
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash labels Oct 29, 2025
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⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash

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