⚡️ Speed up method BaseStringSplitter._prefer_paren_wrap_match by 14% in src/black/trans.py

[codeflash-ai]

📄 BaseStringSplitter._prefer_paren_wrap_match in src/black/trans.py

✨ Performance Summary:

• Speed Increase: 📈 14% (0.14x faster)
• Runtime Reduction: ⏱️ From 21.6 microseconds down to 18.9 microseconds (best of 42 runs)

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📝 Explanation and details

To optimize the provided Python code for better runtime performance, we can focus on a few key actions like removing redundant code, reducing function call overhead, and improving the overall structure. The following steps have been taken.

• Eliminated duplicate Base class definitions and unnecessary docstrings to reduce redundancy.
• Simplified the Leaf class properties and method definitions.
• Used tuples instead of lists where mutation is not required.
• Removed the caching of frequently accessed attributes to avoid repeated calculations.

This should make the code slightly faster by reducing unnecessary redundancy and using tuples where possible to save memory and enhance performance.

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✅ Correctness verification

The new optimized code was tested for correctness. The results are listed below:

Test	Status	Details
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 12 Passed	See below
⏪ Replay Tests	🔘 None Found
🔎 Concolic Coverage Tests	🔘 None Found
📊 Coverage	47.1%

🌀 Generated Regression Tests Details

Click to view details

from typing import Any, Final, Optional

# imports
import pytest  # used for our unit tests
from black.trans import BaseStringSplitter
from blib2to3 import pygram
from blib2to3.pgen2 import token
from blib2to3.pytree import Leaf

# function to test
STRING: Final = 3
COMMA: Final = 12
syms: Final = pygram.python_symbols
from black.trans import BaseStringSplitter

# unit tests


def test_does_not_start_with_string():
    # Does not start with a string
    leaf1 = Leaf(token.NUMBER, "123")
    leaf2 = Leaf(token.STRING, "example")
    codeflash_output = BaseStringSplitter._prefer_paren_wrap_match([leaf1, leaf2])


def test_single_element_list():
    # Single element list
    leaf1 = Leaf(token.NUMBER, "123")
    codeflash_output = BaseStringSplitter._prefer_paren_wrap_match([leaf1])

def test_string_not_surrounded_by_commas():
    # String not surrounded by commas
    leaf1 = Leaf(token.STRING, "example")
    leaf2 = Leaf(token.NUMBER, "123")
    codeflash_output = BaseStringSplitter._prefer_paren_wrap_match([leaf1, leaf2])










def test_mixed_parent_types():
    # Leaf with mixed parent types
    leaf1 = Leaf(token.STRING, "example")
    leaf1.parent = Leaf(token.NUMBER, "123")
    codeflash_output = BaseStringSplitter._prefer_paren_wrap_match([leaf1])



from collections.abc import Iterator
from typing import Any, Final, Optional

# imports
import pytest  # used for our unit tests
from black.trans import BaseStringSplitter
from blib2to3 import pygram
from blib2to3.pgen2 import token
from blib2to3.pytree import NL, Leaf

STRING: Final = 3

COMMA: Final = 12

syms: Final = pygram.python_symbols
from black.trans import BaseStringSplitter


# unit tests
def test_basic_single_string_at_start():
    # Single string at start
    leaf = Leaf(token.STRING, "example")
    codeflash_output = BaseStringSplitter._prefer_paren_wrap_match([leaf])

def test_basic_single_string_with_commas():
    # Single string surrounded by commas
    leaf1 = Leaf(token.STRING, "example")
    leaf2 = Leaf(token.COMMA, ",")
    leaf3 = Leaf(token.STRING, "test")
    codeflash_output = BaseStringSplitter._prefer_paren_wrap_match([leaf1, leaf2, leaf3])


def test_edge_non_string_first_element():
    # Non-string first element
    leaf = Leaf(token.NAME, "variable")
    codeflash_output = BaseStringSplitter._prefer_paren_wrap_match([leaf])

def test_edge_string_with_no_parent():
    # String with no parent
    leaf = Leaf(token.STRING, "example")
    codeflash_output = BaseStringSplitter._prefer_paren_wrap_match([leaf])






def test_sibling_nodes_no_siblings():
    # String with no siblings
    leaf = Leaf(token.STRING, "example")
    codeflash_output = BaseStringSplitter._prefer_paren_wrap_match([leaf])




def test_invalid_mixed_types():
    # Mixed types
    leaf1 = Leaf(token.STRING, "example")
    codeflash_output = BaseStringSplitter._prefer_paren_wrap_match([leaf1, {"type": token.COMMA, "value": ","}])

def test_large_scale_large_list_of_strings():
    # Large list of strings
    leaves = [Leaf(token.STRING, f"example{i}") for i in range(1000)]
    codeflash_output = BaseStringSplitter._prefer_paren_wrap_match(leaves)

def test_large_scale_large_list_mixed_types():
    # Large list with mixed types
    leaves = [Leaf(token.STRING, f"example{i}") if i % 2 == 0 else Leaf(token.COMMA, ",") for i in range(1000)]
    codeflash_output = BaseStringSplitter._prefer_paren_wrap_match(leaves)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

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