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@codeflash-ai codeflash-ai bot commented Nov 11, 2025

📄 30% (0.30x) speedup for extract_packages_special_cases in marimo/_runtime/packages/import_error_extractors.py

⏱️ Runtime : 138 microseconds 106 microseconds (best of 250 runs)

📝 Explanation and details

The optimized code achieves a 29% speedup through two key data structure optimizations:

1. Dictionary → Tuple Conversion:
The original code creates a dictionary with .items() iteration, which has overhead from hash table operations and dynamic key-value pair creation. The optimized version uses a tuple of tuples, eliminating dictionary overhead and enabling direct iteration over a constant, immutable structure.

2. Early Return Pattern:
Instead of collecting matches in a list and checking packages if packages else None at the end, the optimized code returns immediately upon finding the first match. This eliminates:

  • List creation and memory allocation (packages = [])
  • List extension operations (packages.extend(package_names))
  • Final conditional check

Performance Impact by Test Case:

  • Best gains (40-52% faster): Empty messages, exact matches, and non-matching cases benefit most from avoiding list operations entirely
  • Moderate gains (25-40% faster): Complex messages with multiple occurrences still benefit but less dramatically due to string search overhead
  • Large message gains (11-31% faster): Even large inputs see improvement, though string operations dominate the runtime

Why This Works:
Python tuples have lower memory overhead and faster iteration than dictionaries. For this single-item lookup table, the tuple structure is more cache-friendly and eliminates hash computation. The early return pattern is particularly effective since this function typically finds at most one match, making list accumulation wasteful.

The optimization maintains identical behavior - returning the same package list for matches and None for non-matches - while being more efficient for the common single-match use case.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 6 Passed
🌀 Generated Regression Tests 281 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 2 Passed
📊 Tests Coverage 100.0%
⚙️ Existing Unit Tests and Runtime
Test File::Test Function Original ⏱️ Optimized ⏱️ Speedup
_runtime/packages/test_import_error_extractors.py::test_extract_packages_special_cases_pandas_parquet 1.22μs 926ns 31.4%✅
🌀 Generated Regression Tests and Runtime

import pytest # used for our unit tests
from marimo._runtime.packages.import_error_extractors import
extract_packages_special_cases

unit tests

--------------------

Basic Test Cases

--------------------

def test_exact_special_case_match():
# Test exact match of the special case substring
msg = "Unable to find a usable engine; tried using: 'pyarrow', 'fastparquet'."
codeflash_output = extract_packages_special_cases(msg) # 1.25μs -> 826ns (51.1% faster)

def test_special_case_with_prefix_suffix():
# Test message containing the special case substring with extra text before and after
msg = "Error: Unable to find a usable engine; tried using: 'pyarrow', 'fastparquet'. Please install one."
codeflash_output = extract_packages_special_cases(msg) # 1.21μs -> 855ns (40.9% faster)

def test_no_special_case_match():
# Test a message with no special case substring
msg = "ModuleNotFoundError: No module named 'numpy'"
codeflash_output = extract_packages_special_cases(msg) # 984ns -> 696ns (41.4% faster)

def test_empty_message():
# Test an empty string as message
msg = ""
codeflash_output = extract_packages_special_cases(msg) # 996ns -> 653ns (52.5% faster)

--------------------

Edge Test Cases

--------------------

def test_partial_special_case_match():
# Test message that contains only part of the special case substring
msg = "Unable to find a usable engine; tried using: 'pyarrow'"
codeflash_output = extract_packages_special_cases(msg) # 994ns -> 714ns (39.2% faster)

def test_case_sensitivity():
# Test that the function is case-sensitive and does not match with different case
msg = "unable to find a usable engine; tried using: 'pyarrow', 'fastparquet'."
codeflash_output = extract_packages_special_cases(msg) # 1.14μs -> 832ns (36.8% faster)

def test_multiple_special_case_substrings():
# Test message containing the special case substring more than once
msg = (
"Unable to find a usable engine; tried using: 'pyarrow', 'fastparquet'. "
"Unable to find a usable engine; tried using: 'pyarrow', 'fastparquet'."
)
# Should only return one instance per the function's logic (no deduplication)
codeflash_output = extract_packages_special_cases(msg) # 1.25μs -> 900ns (39.3% faster)

def test_message_is_none():
# Test passing None as message (should raise TypeError)
with pytest.raises(TypeError):
extract_packages_special_cases(None) # 2.03μs -> 1.71μs (18.6% faster)

def test_message_is_not_string():
# Test passing a non-string type as message (should raise TypeError)
with pytest.raises(TypeError):
extract_packages_special_cases(12345) # 1.93μs -> 1.71μs (12.8% faster)

def test_message_with_similar_text():
# Test message that is similar but not exactly matching the special case substring
msg = "Unable to find a usable engine; tried using: 'pyarrow'."
codeflash_output = extract_packages_special_cases(msg) # 1.04μs -> 747ns (39.9% faster)

--------------------

Large Scale Test Cases

--------------------

def test_large_message_with_no_special_case():
# Test a very large message that does not contain the special case substring
msg = "Error: " + ("no engine found. " * 500)
codeflash_output = extract_packages_special_cases(msg) # 2.36μs -> 2.01μs (17.0% faster)

def test_large_message_with_special_case_embedded():
# Test a very large message with the special case substring embedded somewhere
msg = (
"Error: " * 250
+ "Unable to find a usable engine; tried using: 'pyarrow', 'fastparquet'."
+ " End of error." * 250
)
codeflash_output = extract_packages_special_cases(msg) # 1.58μs -> 1.22μs (29.5% faster)

def test_large_message_with_multiple_special_case_occurrences():
# Test a large message with multiple occurrences of the special case substring
repeated = "Unable to find a usable engine; tried using: 'pyarrow', 'fastparquet'. "
msg = repeated * 20 # 20 occurrences
codeflash_output = extract_packages_special_cases(msg) # 1.29μs -> 904ns (42.6% faster)

def test_many_non_matching_messages():
# Test many different messages that do not match the special case substring
for i in range(100):
msg = f"Random error message {i}: nothing to see here."
codeflash_output = extract_packages_special_cases(msg) # 28.4μs -> 21.2μs (34.4% faster)

--------------------

Additional Robustness Tests

--------------------

def test_special_case_substring_at_start():
# Test with the special case substring at the very start of the message
msg = "Unable to find a usable engine; tried using: 'pyarrow', 'fastparquet'. Something else went wrong."
codeflash_output = extract_packages_special_cases(msg) # 1.30μs -> 893ns (45.9% faster)

def test_special_case_substring_at_end():
# Test with the special case substring at the very end of the message
msg = "Some error occurred. Unable to find a usable engine; tried using: 'pyarrow', 'fastparquet'."
codeflash_output = extract_packages_special_cases(msg) # 1.27μs -> 928ns (36.5% faster)

def test_special_case_substring_with_newlines():
# Test with newlines around the special case substring
msg = "\nUnable to find a usable engine; tried using: 'pyarrow', 'fastparquet'.\n"
codeflash_output = extract_packages_special_cases(msg) # 1.28μs -> 871ns (47.4% faster)

def test_special_case_substring_with_tabs_and_spaces():
# Test with tabs and spaces around the special case substring
msg = "\t Unable to find a usable engine; tried using: 'pyarrow', 'fastparquet'. \t"
codeflash_output = extract_packages_special_cases(msg) # 1.18μs -> 871ns (35.0% faster)

def test_special_case_substring_with_unicode():
# Test with unicode characters before and after the special case substring
msg = "⚠️ Unable to find a usable engine; tried using: 'pyarrow', 'fastparquet'. 🚨"
codeflash_output = extract_packages_special_cases(msg) # 1.71μs -> 1.28μs (33.6% faster)

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._runtime.packages.import_error_extractors import
extract_packages_special_cases

unit tests

--------------------- Basic Test Cases ---------------------

def test_exact_special_case_match():
# Test that the exact special case substring returns the correct package
msg = "Unable to find a usable engine; tried using: 'pyarrow', 'fastparquet'."
codeflash_output = extract_packages_special_cases(msg); result = codeflash_output # 1.39μs -> 951ns (46.4% faster)

def test_special_case_with_extra_text():
# Test that the function matches the special case even if extra text is present
msg = "Error! Unable to find a usable engine; tried using: 'pyarrow', 'fastparquet'. Please install."
codeflash_output = extract_packages_special_cases(msg); result = codeflash_output # 1.38μs -> 904ns (52.2% faster)

def test_no_special_case_match():
# Test that a message not containing the special case returns None
msg = "Some unrelated error message."
codeflash_output = extract_packages_special_cases(msg); result = codeflash_output # 1.01μs -> 704ns (43.8% faster)

def test_partial_special_case_no_match():
# Test that a partial substring does not trigger extraction
msg = "Unable to find a usable engine"
codeflash_output = extract_packages_special_cases(msg); result = codeflash_output # 989ns -> 698ns (41.7% faster)

--------------------- Edge Test Cases ---------------------

def test_empty_message():
# Test that an empty string returns None
msg = ""
codeflash_output = extract_packages_special_cases(msg); result = codeflash_output # 971ns -> 677ns (43.4% faster)

def test_none_message():
# Test that passing None raises a TypeError (since str expected)
with pytest.raises(TypeError):
extract_packages_special_cases(None) # 1.97μs -> 1.77μs (11.3% faster)

def test_message_with_special_case_as_substring_only():
# Test that the special case substring as part of another word does not match
msg = "Unable to find a usable engine; tried using: 'pyarrow', 'fastparquet' (partial)."
codeflash_output = extract_packages_special_cases(msg); result = codeflash_output # 1.14μs -> 876ns (30.1% faster)

def test_case_sensitivity():
# Test that the function is case-sensitive
msg = "unable to find a usable engine; tried using: 'pyarrow', 'fastparquet'."
codeflash_output = extract_packages_special_cases(msg); result = codeflash_output # 1.09μs -> 868ns (25.6% faster)

def test_message_with_multiple_special_case_substrings():
# Test that multiple occurrences of the substring do not duplicate packages
msg = ("Unable to find a usable engine; tried using: 'pyarrow', 'fastparquet'. "
"Unable to find a usable engine; tried using: 'pyarrow', 'fastparquet'.")
codeflash_output = extract_packages_special_cases(msg); result = codeflash_output # 1.29μs -> 916ns (40.8% faster)

def test_message_with_similar_but_not_exact_substring():
# Test a message that is very similar but not an exact match
msg = "Unable to find a usable engine; tried using: 'pyarrow', 'fastparquet', or 'other'."
codeflash_output = extract_packages_special_cases(msg); result = codeflash_output # 1.10μs -> 825ns (33.5% faster)

--------------------- Large Scale Test Cases ---------------------

def test_large_message_with_no_special_case():
# Test a large message with no special case substring
msg = "Error: " + ("foo bar baz " * 200)
codeflash_output = extract_packages_special_cases(msg); result = codeflash_output # 2.74μs -> 2.47μs (11.0% faster)

def test_large_message_with_special_case_in_middle():
# Test a large message where the special case substring appears in the middle
prefix = "foo bar baz " * 300
suffix = " lorem ipsum " * 300
msg = prefix + "Unable to find a usable engine; tried using: 'pyarrow', 'fastparquet'." + suffix
codeflash_output = extract_packages_special_cases(msg); result = codeflash_output # 4.15μs -> 3.50μs (18.6% faster)

def test_large_message_with_multiple_special_case_occurrences():
# Test a large message with the special case substring repeated many times
special = "Unable to find a usable engine; tried using: 'pyarrow', 'fastparquet'."
msg = ("foo bar baz " * 100) + (special * 10) + (" lorem ipsum " * 100)
codeflash_output = extract_packages_special_cases(msg); result = codeflash_output # 2.23μs -> 1.86μs (19.9% faster)

def test_large_number_of_non_matching_messages():
# Test many different large messages that do not match
for i in range(100):
msg = f"Error {i}: " + ("not the right substring " * 10)
codeflash_output = extract_packages_special_cases(msg); result = codeflash_output # 36.8μs -> 29.3μs (25.4% faster)

def test_large_number_of_matching_messages():
# Test many different large messages that do match
special = "Unable to find a usable engine; tried using: 'pyarrow', 'fastparquet'."
for i in range(50):
msg = f"Message {i}: " + ("foo bar " * 5) + special + (" baz qux " * 5)
codeflash_output = extract_packages_special_cases(msg); result = codeflash_output # 23.2μs -> 17.7μs (31.1% 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._runtime.packages.import_error_extractors import extract_packages_special_cases

def test_extract_packages_special_cases():
extract_packages_special_cases("Unable to find a usable engine; tried using: 'pyarrow', 'fastparquet'.")

def test_extract_packages_special_cases_2():
extract_packages_special_cases('')

🔎 Concolic Coverage Tests and Runtime
Test File::Test Function Original ⏱️ Optimized ⏱️ Speedup
codeflash_concolic_bps3n5s8/tmpi5_exh7h/test_concolic_coverage.py::test_extract_packages_special_cases 1.29μs 942ns 36.9%✅
codeflash_concolic_bps3n5s8/tmpi5_exh7h/test_concolic_coverage.py::test_extract_packages_special_cases_2 990ns 712ns 39.0%✅

To edit these changes git checkout codeflash/optimize-extract_packages_special_cases-mhv4a6nc and push.

Codeflash Static Badge

The optimized code achieves a **29% speedup** through two key data structure optimizations:

**1. Dictionary → Tuple Conversion:**
The original code creates a dictionary with `.items()` iteration, which has overhead from hash table operations and dynamic key-value pair creation. The optimized version uses a tuple of tuples, eliminating dictionary overhead and enabling direct iteration over a constant, immutable structure.

**2. Early Return Pattern:**
Instead of collecting matches in a list and checking `packages if packages else None` at the end, the optimized code returns immediately upon finding the first match. This eliminates:
- List creation and memory allocation (`packages = []`)
- List extension operations (`packages.extend(package_names)`)
- Final conditional check

**Performance Impact by Test Case:**
- **Best gains (40-52% faster)**: Empty messages, exact matches, and non-matching cases benefit most from avoiding list operations entirely
- **Moderate gains (25-40% faster)**: Complex messages with multiple occurrences still benefit but less dramatically due to string search overhead
- **Large message gains (11-31% faster)**: Even large inputs see improvement, though string operations dominate the runtime

**Why This Works:**
Python tuples have lower memory overhead and faster iteration than dictionaries. For this single-item lookup table, the tuple structure is more cache-friendly and eliminates hash computation. The early return pattern is particularly effective since this function typically finds at most one match, making list accumulation wasteful.

The optimization maintains identical behavior - returning the same package list for matches and `None` for non-matches - while being more efficient for the common single-match use case.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 November 11, 2025 22:02
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash labels Nov 11, 2025
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