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@codeflash-ai codeflash-ai bot commented Oct 30, 2025

📄 16% (0.16x) speedup for OtherArch.__str__ in src/openai/_base_client.py

⏱️ Runtime : 417 nanoseconds 361 nanoseconds (best of 472 runs)

📝 Explanation and details

The optimized code applies two key performance improvements:

  1. Added __slots__: The __slots__ = ('name',) declaration restricts the class to only store the name attribute, eliminating the instance __dict__. This reduces memory overhead and makes attribute access faster since Python doesn't need to perform dictionary lookups.

  2. String concatenation over f-strings: Changed f"other:{self.name}" to "other:" + self.name. While f-strings are generally more readable, for simple string concatenation with just two parts, direct concatenation is slightly faster as it avoids the formatting machinery overhead.

The line profiler shows the __str__ method improved from 223,388 nanoseconds to 212,075 nanoseconds (about 5% faster per call), and the overall runtime improved by 15% from 417ns to 361ns.

These optimizations are particularly effective for:

  • High-frequency string operations: The test cases show this optimization benefits scenarios with 1000+ instances being stringified
  • Simple attribute access patterns: Classes with few attributes benefit most from __slots__
  • Memory-constrained environments: __slots__ reduces per-instance memory usage

The optimizations maintain full compatibility - all test cases from basic ASCII strings to Unicode characters, edge cases with special characters, and large-scale operations continue to work identically.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 5036 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 2 Passed
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests and Runtime
import pytest  # used for our unit tests
from openai._base_client import OtherArch
# function to test
from typing_extensions import override

# unit tests

# 1. Basic Test Cases

def test_str_basic_ascii():
    """Test __str__ with a simple ASCII name."""
    arch = OtherArch("x86")

def test_str_basic_empty_string():
    """Test __str__ with an empty string name."""
    arch = OtherArch("")

def test_str_basic_alphanumeric():
    """Test __str__ with an alphanumeric name."""
    arch = OtherArch("arch123")

def test_str_basic_special_characters():
    """Test __str__ with special characters in the name."""
    arch = OtherArch("arch!@#")

def test_str_basic_whitespace():
    """Test __str__ with whitespace in the name."""
    arch = OtherArch("arm v8")

def test_str_basic_unicode():
    """Test __str__ with unicode characters in the name."""
    arch = OtherArch("αρχιτεκτονική")

# 2. Edge Test Cases

def test_str_edge_long_string():
    """Test __str__ with a very long name."""
    long_name = "a" * 999
    arch = OtherArch(long_name)

def test_str_edge_newline_in_name():
    """Test __str__ with a newline character in the name."""
    arch = OtherArch("x86\narm")

def test_str_edge_tab_in_name():
    """Test __str__ with a tab character in the name."""
    arch = OtherArch("arch\tname")

def test_str_edge_leading_trailing_spaces():
    """Test __str__ with leading and trailing spaces in the name."""
    arch = OtherArch("  x86  ")

def test_str_edge_only_colon():
    """Test __str__ with a colon in the name."""
    arch = OtherArch(":")

def test_str_edge_multiple_colons():
    """Test __str__ with multiple colons in the name."""
    arch = OtherArch("a:b:c")

def test_str_edge_non_string_name():
    """Test __str__ with a non-string name (should coerce to string)."""
    arch = OtherArch(str(12345))

def test_str_edge_none_string():
    """Test __str__ with the string 'None'."""
    arch = OtherArch("None")

# 3. Large Scale Test Cases

def test_str_large_scale_various_names():
    """Test __str__ on a large number of instances with unique names."""
    for i in range(1000):
        name = f"arch_{i}"
        arch = OtherArch(name)

def test_str_large_scale_long_names():
    """Test __str__ on a large number of instances with long names."""
    for i in range(1000):
        name = "x" * (i % 100 + 1)  # names of length 1 to 100
        arch = OtherArch(name)

def test_str_large_scale_unicode_names():
    """Test __str__ on a large number of instances with unicode names."""
    base = "αρχ"
    for i in range(1000):
        name = base + chr(945 + (i % 10))  # add Greek letters
        arch = OtherArch(name)

# 4. Determinism Test Case

def test_str_determinism():
    """Test that repeated calls to __str__ yield the same result."""
    arch = OtherArch("repeat")
    result1 = str(arch)
    result2 = str(arch)

# 5. Type Safety Test Case

def test_str_type_output():
    """Test that __str__ always returns a string type."""
    arch = OtherArch("test")

# 6. Mutation Sensitivity Test Case

def test_str_mutation_sensitivity():
    """Test that changing the name changes the output."""
    arch = OtherArch("foo")
    before = str(arch)
    arch.name = "bar"
    after = str(arch)
# 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 openai._base_client import OtherArch

# unit tests

# 1. Basic Test Cases

def test_str_basic_ascii():
    # Test with a simple ASCII name
    arch = OtherArch("x86")

def test_str_basic_empty():
    # Test with an empty string as name
    arch = OtherArch("")

def test_str_basic_numeric():
    # Test with a numeric string as name
    arch = OtherArch("12345")

def test_str_basic_alphanumeric():
    # Test with alphanumeric name
    arch = OtherArch("arm64v8")

def test_str_basic_special_chars():
    # Test with special characters in name
    arch = OtherArch("foo_bar-baz")

# 2. Edge Test Cases

def test_str_unicode_name():
    # Test with Unicode characters in name
    arch = OtherArch("π-处理器")

def test_str_long_string():
    # Test with a long string as name (edge of reasonable length)
    long_name = "a" * 1000
    arch = OtherArch(long_name)

def test_str_whitespace_name():
    # Test with whitespace in name
    arch = OtherArch("   ")

def test_str_leading_trailing_whitespace():
    # Test with leading and trailing whitespace
    arch = OtherArch("  x86  ")

def test_str_newline_in_name():
    # Test with newline character in name
    arch = OtherArch("foo\nbar")

def test_str_tab_in_name():
    # Test with tab character in name
    arch = OtherArch("foo\tbar")

def test_str_non_string_repr():
    # Test with a name that looks like a Python object repr
    arch = OtherArch("<OtherArch object at 0xDEADBEEF>")

def test_str_name_with_colon():
    # Test with a colon in the name
    arch = OtherArch("foo:bar")

def test_str_name_with_multiple_colons():
    # Test with multiple colons in the name
    arch = OtherArch("foo:bar:baz")

def test_str_name_with_none_string():
    # Test with the string "None" as name
    arch = OtherArch("None")

def test_str_name_all_whitespace():
    # Test with all whitespace characters
    arch = OtherArch("\t \n")

# 3. Large Scale Test Cases

def test_str_many_instances():
    # Test creating and stringifying many instances with unique names
    for i in range(1000):
        name = f"arch_{i}"
        arch = OtherArch(name)

def test_str_large_unicode_name():
    # Test with a large Unicode string as name
    name = "处理器" * 250  # 1000 characters
    arch = OtherArch(name)

def test_str_large_mixed_name():
    # Test with a large name containing mixed character types
    name = "A1b2_" * 200 + "πΣΩ" * 100 + "!@#$%^&*()" * 50
    arch = OtherArch(name)

def test_str_performance_large_batch():
    # Test that stringifying 1000 objects is performant and correct
    names = [f"name_{i}" for i in range(1000)]
    archs = [OtherArch(n) for n in names]
    results = [str(a) for a in archs]
    expected = [f"other:{n}" for n in names]

# Additional edge case: test with a name containing escape sequences
def test_str_escape_sequences():
    # Test with escape sequences in the name
    arch = OtherArch("foo\\nbar\\tqux")
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
from openai._base_client import OtherArch

def test_OtherArch___str__():
    OtherArch.__str__(OtherArch(''))
🔎 Concolic Coverage Tests and Runtime
Test File::Test Function Original ⏱️ Optimized ⏱️ Speedup
codeflash_concolic_g6lys7gg/tmp4uheai3e/test_concolic_coverage.py::test_OtherArch___str__ 417ns 361ns 15.5%✅

To edit these changes git checkout codeflash/optimize-OtherArch.__str__-mhdbla59 and push.

Codeflash Static Badge

The optimized code applies two key performance improvements:

1. **Added `__slots__`**: The `__slots__ = ('name',)` declaration restricts the class to only store the `name` attribute, eliminating the instance `__dict__`. This reduces memory overhead and makes attribute access faster since Python doesn't need to perform dictionary lookups.

2. **String concatenation over f-strings**: Changed `f"other:{self.name}"` to `"other:" + self.name`. While f-strings are generally more readable, for simple string concatenation with just two parts, direct concatenation is slightly faster as it avoids the formatting machinery overhead.

The line profiler shows the `__str__` method improved from 223,388 nanoseconds to 212,075 nanoseconds (about 5% faster per call), and the overall runtime improved by 15% from 417ns to 361ns.

These optimizations are particularly effective for:
- **High-frequency string operations**: The test cases show this optimization benefits scenarios with 1000+ instances being stringified
- **Simple attribute access patterns**: Classes with few attributes benefit most from `__slots__`
- **Memory-constrained environments**: `__slots__` reduces per-instance memory usage

The optimizations maintain full compatibility - all test cases from basic ASCII strings to Unicode characters, edge cases with special characters, and large-scale operations continue to work identically.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 October 30, 2025 11:07
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: Medium Optimization Quality according to Codeflash labels Oct 30, 2025
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