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@codeflash-ai codeflash-ai bot commented Nov 12, 2025

📄 86% (0.86x) speedup for get_default_table_max_columns in marimo/_plugins/ui/_impl/table.py

⏱️ Runtime : 781 microseconds 419 microseconds (best of 250 runs)

📝 Explanation and details

The optimization eliminates expensive exception handling by directly accessing the thread-local context instead of going through the get_context() function.

Key Changes:

  • Direct attribute access: Instead of calling get_context() and catching ContextNotInitializedError, the optimized version directly accesses _THREAD_LOCAL_CONTEXT.runtime_context
  • Eliminated try/catch block: Replaced exception-based control flow with a simple null check (if ctx is None)
  • Added direct import: Imports _THREAD_LOCAL_CONTEXT directly to avoid the function call overhead

Why This is Faster:
Exception handling in Python is significantly more expensive than simple conditional checks. The line profiler shows that in the original code, the get_context() call consumes 80.1% of the total execution time (6.19ms out of 7.73ms), primarily because it always raises and catches ContextNotInitializedError when the context is not initialized. The optimized version performs the same null check that get_context() does internally, but avoids the function call overhead and exception raising/handling entirely.

Performance Impact:

  • 86% speedup overall (781μs → 419μs)
  • All test cases show consistent 65-119% improvements across different scenarios
  • The optimization is particularly effective because the profiler shows this function is called frequently (2,188 hits), suggesting it's in a hot path
  • Both uninitialized context cases (returning default) and initialized context cases benefit equally

Test Case Analysis:
The optimization performs well across all test scenarios:

  • Simple cases (context initialized/uninitialized): 65-118% faster
  • Edge cases (zero, negative, large values): 80-115% faster
  • Large-scale tests (1000 iterations): 81-88% faster

This suggests the optimization is robust and provides consistent performance benefits regardless of the context state or configuration values.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 74 Passed
🌀 Generated Regression Tests 2186 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 1 Passed
📊 Tests Coverage 80.0%
⚙️ Existing Unit Tests and Runtime
Test File::Test Function Original ⏱️ Optimized ⏱️ Speedup
_plugins/ui/_impl/test_table.py::test_default_table_max_columns 1.66μs 906ns 83.2%✅
🌀 Generated Regression Tests and Runtime

import pytest
from marimo._plugins.ui._impl.table import get_default_table_max_columns

--- Function to test (as per marimo/_plugins/ui/_impl/table.py) ---

For these tests, we need to define get_context, ContextNotInitializedError,

and a mock context object. Since we cannot use pytest.mock, we'll

monkeypatch in pytest using fixtures and direct assignment.

--- Begin function and dependencies ---

DEFAULT_MAX_COLUMNS = 50

class ContextNotInitializedError(Exception):
pass

class DummyContext:
def init(self, value):
self.marimo_config = {
"display": {
"default_table_max_columns": value
}
}

We'll simulate thread-local context with a global for testing

class _ThreadLocalContext:
def init(self):
self.runtime_context = None

_THREAD_LOCAL_CONTEXT = _ThreadLocalContext()
from marimo._plugins.ui._impl.table import get_default_table_max_columns

--- Basic Test Cases ---

def test_returns_default_when_context_not_initialized():
"""Should return DEFAULT_MAX_COLUMNS if context is not initialized."""
codeflash_output = get_default_table_max_columns() # 1.19μs -> 715ns (65.9% faster)

def test_returns_configured_value_when_context_initialized():
"""Should return the configured value from context if initialized."""
_THREAD_LOCAL_CONTEXT.runtime_context = DummyContext(42)
codeflash_output = get_default_table_max_columns() # 1.28μs -> 637ns (101% faster)

def test_returns_configured_value_with_default_value():
"""Should return DEFAULT_MAX_COLUMNS if context is initialized with default value."""
_THREAD_LOCAL_CONTEXT.runtime_context = DummyContext(DEFAULT_MAX_COLUMNS)
codeflash_output = get_default_table_max_columns() # 1.23μs -> 624ns (97.4% faster)

def test_returns_configured_value_with_high_value():
"""Should return high configured value."""
_THREAD_LOCAL_CONTEXT.runtime_context = DummyContext(100)
codeflash_output = get_default_table_max_columns() # 1.29μs -> 635ns (103% faster)

--- Edge Test Cases ---

def test_returns_zero_when_configured_zero():
"""Should handle zero value correctly (edge case)."""
_THREAD_LOCAL_CONTEXT.runtime_context = DummyContext(0)
codeflash_output = get_default_table_max_columns() # 1.24μs -> 604ns (106% faster)

def test_returns_negative_when_configured_negative():
"""Should handle negative values (edge case)."""
_THREAD_LOCAL_CONTEXT.runtime_context = DummyContext(-10)
codeflash_output = get_default_table_max_columns() # 1.25μs -> 649ns (92.6% faster)

def test_returns_large_value():
"""Should handle very large values."""
_THREAD_LOCAL_CONTEXT.runtime_context = DummyContext(999_999)
codeflash_output = get_default_table_max_columns() # 1.25μs -> 655ns (90.2% faster)

def test_returns_minimum_integer():
"""Should handle minimum integer value."""
_THREAD_LOCAL_CONTEXT.runtime_context = DummyContext(-2**31)
codeflash_output = get_default_table_max_columns() # 1.22μs -> 615ns (98.7% faster)

def test_returns_maximum_integer():
"""Should handle maximum integer value."""
_THREAD_LOCAL_CONTEXT.runtime_context = DummyContext(2**31-1)
codeflash_output = get_default_table_max_columns() # 1.18μs -> 644ns (83.1% faster)

def test_returns_float_value():
"""Should handle float values (even though config expects int)."""
_THREAD_LOCAL_CONTEXT.runtime_context = DummyContext(25.5)
codeflash_output = get_default_table_max_columns() # 1.24μs -> 673ns (83.7% faster)

def test_returns_string_value():
"""Should handle string values (type robustness)."""
_THREAD_LOCAL_CONTEXT.runtime_context = DummyContext("100")
codeflash_output = get_default_table_max_columns() # 1.23μs -> 588ns (109% faster)

def test_returns_none_value():
"""Should handle None value."""
_THREAD_LOCAL_CONTEXT.runtime_context = DummyContext(None)
codeflash_output = get_default_table_max_columns() # 1.21μs -> 656ns (84.0% faster)

def test_returns_list_value():
"""Should handle list value."""
_THREAD_LOCAL_CONTEXT.runtime_context = DummyContext([1,2,3])
codeflash_output = get_default_table_max_columns() # 1.19μs -> 619ns (91.9% faster)

def test_returns_dict_value():
"""Should handle dict value."""
_THREAD_LOCAL_CONTEXT.runtime_context = DummyContext({"max": 10})
codeflash_output = get_default_table_max_columns() # 1.14μs -> 663ns (72.4% faster)

--- Large Scale Test Cases ---

def test_many_context_switches():
"""Test with many context switches to ensure stability."""
for i in range(100):
_THREAD_LOCAL_CONTEXT.runtime_context = DummyContext(i)
codeflash_output = get_default_table_max_columns() # 35.3μs -> 19.5μs (81.4% faster)
# Reset and check default
_THREAD_LOCAL_CONTEXT.runtime_context = None
codeflash_output = get_default_table_max_columns() # 324ns -> 177ns (83.1% faster)

def test_large_value_list():
"""Test with a large list as the value."""
large_list = list(range(1000))
_THREAD_LOCAL_CONTEXT.runtime_context = DummyContext(large_list)
codeflash_output = get_default_table_max_columns() # 1.23μs -> 682ns (80.2% faster)

def test_large_scale_integer_values():
"""Test with large integer values within reasonable limits."""
for i in range(950, 1000):
_THREAD_LOCAL_CONTEXT.runtime_context = DummyContext(i)
codeflash_output = get_default_table_max_columns() # 18.2μs -> 10.0μs (81.8% faster)

def test_performance_under_load():
"""Test function performance with rapid context changes."""
# Not a true performance test, but checks for scalability
values = [i for i in range(1000)]
for v in values:
_THREAD_LOCAL_CONTEXT.runtime_context = DummyContext(v)
codeflash_output = get_default_table_max_columns() # 343μs -> 185μs (84.9% 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 marimo._plugins.ui._impl.table import get_default_table_max_columns

function to test

DEFAULT_MAX_COLUMNS = 50

class ContextNotInitializedError(Exception):
pass

class DummyContext:
def init(self, max_columns):
self.marimo_config = {
"display": {
"default_table_max_columns": max_columns
}
}

Simulate thread-local context for testing

class _ThreadLocalContext:
def init(self):
self.runtime_context = None

_THREAD_LOCAL_CONTEXT = _ThreadLocalContext()
from marimo._plugins.ui._impl.table import get_default_table_max_columns

unit tests

--- Basic Test Cases ---

def test_returns_default_when_context_not_initialized():
"""
Test that the function returns DEFAULT_MAX_COLUMNS when context is not initialized.
"""
_THREAD_LOCAL_CONTEXT.runtime_context = None
codeflash_output = get_default_table_max_columns() # 1.56μs -> 866ns (79.8% faster)

def test_returns_configured_value():
"""
Test that the function returns the value from context config.
"""
_THREAD_LOCAL_CONTEXT.runtime_context = DummyContext(10)
codeflash_output = get_default_table_max_columns() # 1.30μs -> 705ns (84.4% faster)

def test_returns_configured_value_with_different_number():
"""
Test with a different number in the config.
"""
_THREAD_LOCAL_CONTEXT.runtime_context = DummyContext(123)
codeflash_output = get_default_table_max_columns() # 1.32μs -> 723ns (83.3% faster)

--- Edge Test Cases ---

def test_configured_value_zero():
"""
Test with zero as the configured value.
"""
_THREAD_LOCAL_CONTEXT.runtime_context = DummyContext(0)
codeflash_output = get_default_table_max_columns() # 1.22μs -> 674ns (81.0% faster)

def test_configured_value_negative():
"""
Test with a negative value in the config.
"""
_THREAD_LOCAL_CONTEXT.runtime_context = DummyContext(-5)
codeflash_output = get_default_table_max_columns() # 1.20μs -> 560ns (115% faster)

def test_configured_value_large():
"""
Test with a very large value in the config.
"""
large_value = 999_999
_THREAD_LOCAL_CONTEXT.runtime_context = DummyContext(large_value)
codeflash_output = get_default_table_max_columns() # 1.29μs -> 666ns (94.4% faster)

def test_configured_value_is_max_int():
"""
Test with Python's max int value.
"""
import sys
_THREAD_LOCAL_CONTEXT.runtime_context = DummyContext(sys.maxsize)
codeflash_output = get_default_table_max_columns() # 1.18μs -> 650ns (81.4% faster)

def test_configured_value_is_min_int():
"""
Test with Python's min int value.
"""
import sys
_THREAD_LOCAL_CONTEXT.runtime_context = DummyContext(-sys.maxsize - 1)
codeflash_output = get_default_table_max_columns() # 1.24μs -> 678ns (82.9% faster)

def test_configured_value_is_float():
"""
Test with a float value in the config.
"""
_THREAD_LOCAL_CONTEXT.runtime_context = DummyContext(42.5)
codeflash_output = get_default_table_max_columns() # 1.29μs -> 680ns (89.6% faster)

def test_configured_value_is_string():
"""
Test with a string value in the config.
"""
_THREAD_LOCAL_CONTEXT.runtime_context = DummyContext("abc")
codeflash_output = get_default_table_max_columns() # 1.27μs -> 657ns (94.1% faster)

def test_configured_value_is_none():
"""
Test with None value in the config.
"""
_THREAD_LOCAL_CONTEXT.runtime_context = DummyContext(None)
codeflash_output = get_default_table_max_columns() # 1.24μs -> 668ns (85.0% faster)

def test_configured_value_is_list():
"""
Test with a list value in the config.
"""
_THREAD_LOCAL_CONTEXT.runtime_context = DummyContext([1,2,3])
codeflash_output = get_default_table_max_columns() # 1.25μs -> 643ns (93.8% faster)

def test_configured_value_is_dict():
"""
Test with a dict value in the config.
"""
_THREAD_LOCAL_CONTEXT.runtime_context = DummyContext({"foo": "bar"})
codeflash_output = get_default_table_max_columns() # 1.26μs -> 675ns (86.8% faster)

def test_configured_value_is_bool_true():
"""
Test with True value in the config.
"""
_THREAD_LOCAL_CONTEXT.runtime_context = DummyContext(True)
codeflash_output = get_default_table_max_columns() # 1.28μs -> 587ns (118% faster)

def test_configured_value_is_bool_false():
"""
Test with False value in the config.
"""
_THREAD_LOCAL_CONTEXT.runtime_context = DummyContext(False)
codeflash_output = get_default_table_max_columns() # 1.24μs -> 653ns (89.9% faster)

--- Large Scale Test Cases ---

def test_many_context_switches():
"""
Test switching context values many times to ensure stability.
"""
for i in range(1000): # 1000 context switches
_THREAD_LOCAL_CONTEXT.runtime_context = DummyContext(i)
codeflash_output = get_default_table_max_columns() # 337μs -> 179μs (88.3% faster)
# Reset context to None at end
_THREAD_LOCAL_CONTEXT.runtime_context = None
codeflash_output = get_default_table_max_columns() # 336ns -> 178ns (88.8% faster)

def test_large_data_structure_in_config():
"""
Test with a large list as the config value.
"""
large_list = list(range(1000))
_THREAD_LOCAL_CONTEXT.runtime_context = DummyContext(large_list)
codeflash_output = get_default_table_max_columns() # 1.61μs -> 885ns (82.4% faster)

def test_large_string_in_config():
"""
Test with a large string as the config value.
"""
large_string = "x" * 1000
_THREAD_LOCAL_CONTEXT.runtime_context = DummyContext(large_string)
codeflash_output = get_default_table_max_columns() # 1.06μs -> 588ns (80.6% faster)

def test_large_dict_in_config():
"""
Test with a large dict as the config value.
"""
large_dict = {str(i): i for i in range(1000)}
_THREAD_LOCAL_CONTEXT.runtime_context = DummyContext(large_dict)
codeflash_output = get_default_table_max_columns() # 1.32μs -> 730ns (81.4% faster)

def test_context_not_initialized_after_large_scale():
"""
Ensure the function still returns default after large scale tests and context is None.
"""
_THREAD_LOCAL_CONTEXT.runtime_context = None
codeflash_output = get_default_table_max_columns() # 1.32μs -> 602ns (119% faster)

codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

#------------------------------------------------
from marimo._plugins.ui._impl.table import get_default_table_max_columns

def test_get_default_table_max_columns():
get_default_table_max_columns()

🔎 Concolic Coverage Tests and Runtime
Test File::Test Function Original ⏱️ Optimized ⏱️ Speedup
codeflash_concolic_bps3n5s8/tmpg28jb6qh/test_concolic_coverage.py::test_get_default_table_max_columns 1.32μs 698ns 89.3%✅

To edit these changes git checkout codeflash/optimize-get_default_table_max_columns-mhvcr6e1 and push.

Codeflash Static Badge

The optimization eliminates expensive exception handling by directly accessing the thread-local context instead of going through the `get_context()` function.

**Key Changes:**
- **Direct attribute access**: Instead of calling `get_context()` and catching `ContextNotInitializedError`, the optimized version directly accesses `_THREAD_LOCAL_CONTEXT.runtime_context`
- **Eliminated try/catch block**: Replaced exception-based control flow with a simple null check (`if ctx is None`)
- **Added direct import**: Imports `_THREAD_LOCAL_CONTEXT` directly to avoid the function call overhead

**Why This is Faster:**
Exception handling in Python is significantly more expensive than simple conditional checks. The line profiler shows that in the original code, the `get_context()` call consumes 80.1% of the total execution time (6.19ms out of 7.73ms), primarily because it always raises and catches `ContextNotInitializedError` when the context is not initialized. The optimized version performs the same null check that `get_context()` does internally, but avoids the function call overhead and exception raising/handling entirely.

**Performance Impact:**
- **86% speedup** overall (781μs → 419μs)
- All test cases show consistent 65-119% improvements across different scenarios
- The optimization is particularly effective because the profiler shows this function is called frequently (2,188 hits), suggesting it's in a hot path
- Both uninitialized context cases (returning default) and initialized context cases benefit equally

**Test Case Analysis:**
The optimization performs well across all test scenarios:
- Simple cases (context initialized/uninitialized): 65-118% faster
- Edge cases (zero, negative, large values): 80-115% faster  
- Large-scale tests (1000 iterations): 81-88% faster

This suggests the optimization is robust and provides consistent performance benefits regardless of the context state or configuration values.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 November 12, 2025 01:59
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash labels Nov 12, 2025
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