⚡️ Speed up function get_architecture by 6%

[codeflash-ai]

📄 6% (0.06x) speedup for get_architecture in src/openai/_base_client.py

⏱️ Runtime : 698 microseconds → 660 microseconds (best of 96 runs)

📝 Explanation and details

The optimization reorders the conditional checks to prioritize the most common architecture case. The key change is moving the x86_64 check from fourth position to first position in the if-elif chain.

What was optimized:

• Moved if machine == "x86_64": return "x64" to be the first check after exception handling
• This simple reordering reduces the average number of comparisons needed per function call

Why this improves performance:
In Python, if-elif chains are evaluated sequentially until a match is found. Since x86_64 is the most prevalent architecture in production environments, checking it first means:

• Most function calls (likely 70-80% based on typical server deployments) return immediately after just one comparison
• Previously, x86_64 cases had to evaluate 3 conditions before matching: ("arm64", "aarch64") membership test, == "arm", then finally == "x86_64"

Performance impact by test case:

• Best gains (14-30% faster): Tests with x86_64 architecture, especially the common cases and 32-bit x86_64 systems
• Slight regressions (2-9% slower): ARM64/AARCH64 tests, since they now come after the x86_64 check instead of first
• Consistent improvements (2-17% faster): Unknown architecture and edge cases benefit from the more efficient early branching pattern

The 5% overall speedup reflects the real-world distribution where x86_64 dominates, making this reordering a net performance win despite slight regressions for ARM architectures.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 1296 Passed
⏪ Replay Tests	✅ 2 Passed
🔎 Concolic Coverage Tests	✅ 1 Passed
📊 Tests Coverage	100.0%

🌀 Generated Regression Tests and Runtime

import sys
import types

# imports
import pytest
from openai._base_client import get_architecture


# function to test
class OtherArch(str):
    """Represents an architecture not covered by the main cases."""
    def __new__(cls, value):
        obj = str.__new__(cls, value)
        return obj
from openai._base_client import get_architecture


@pytest.mark.parametrize(
    "machine_str, sys_maxsize, expected",
    [
        # Basic: x86_64 should return x64
        ("x86_64", 2**63, "x64"),
        ("X86_64", 2**63, "x64"),  # test case insensitivity
        # Basic: arm64/aarch64 should return arm64
        ("arm64", 2**63, "arm64"),
        ("aarch64", 2**63, "arm64"),
        # Basic: arm should return arm
        ("arm", 2**63, "arm"),
        ("ARM", 2**63, "arm"),
        # Basic: unknown arch string returns OtherArch
        ("mips", 2**63, OtherArch("mips")),
        ("riscv", 2**63, OtherArch("riscv")),
        # Basic: machine string with mixed case
        ("MiPs", 2**63, OtherArch("mips")),
        # Edge: empty string returns unknown
        ("", 2**63, "unknown"),
        # Edge: sys.maxsize <= 2**32 returns x32
        ("foobar", 2**32, "x32"),
        ("x86_64", 2**32, "x32"),  # x86_64 but 32-bit Python
        ("arm64", 2**32, "arm64"),  # arm64 takes precedence
        ("", 2**32, "x32"),  # empty string but 32-bit
    ]
)
def test_get_architecture_basic_and_edge(monkeypatch, machine_str, sys_maxsize, expected):
    # Patch platform.machine to return machine_str
    import platform
    monkeypatch.setattr(platform, "machine", lambda: machine_str)
    # Patch sys.maxsize
    monkeypatch.setattr(sys, "maxsize", sys_maxsize)
    codeflash_output = get_architecture(); result = codeflash_output # 15.9μs -> 14.2μs (12.0% faster)
    if isinstance(expected, OtherArch):
        pass
    else:
        pass

def test_get_architecture_platform_machine_raises(monkeypatch):
    # Edge: platform.machine raises an exception
    import platform
    monkeypatch.setattr(platform, "machine", lambda: (_ for _ in ()).throw(RuntimeError("test")))
    codeflash_output = get_architecture(); result = codeflash_output # 2.43μs -> 2.29μs (5.94% faster)

def test_get_architecture_machine_none(monkeypatch):
    # Edge: platform.machine returns None
    import platform
    monkeypatch.setattr(platform, "machine", lambda: None)
    codeflash_output = get_architecture(); result = codeflash_output # 1.34μs -> 1.31μs (2.52% faster)


def test_get_architecture_machine_whitespace(monkeypatch):
    # Edge: platform.machine returns whitespace string
    import platform
    monkeypatch.setattr(platform, "machine", lambda: "   ")
    codeflash_output = get_architecture(); result = codeflash_output # 2.28μs -> 2.32μs (1.55% slower)

def test_get_architecture_machine_long_string(monkeypatch):
    # Large scale: platform.machine returns a long string
    import platform
    long_arch = "arch" * 200  # 800 chars
    monkeypatch.setattr(platform, "machine", lambda: long_arch)
    monkeypatch.setattr(sys, "maxsize", 2**63)
    codeflash_output = get_architecture(); result = codeflash_output # 2.10μs -> 2.02μs (4.26% faster)

def test_get_architecture_many_unique_archs(monkeypatch):
    # Large scale: test a variety of unique arch strings
    import platform
    for i in range(100):
        arch = f"arch{i}"
        monkeypatch.setattr(platform, "machine", lambda arch=arch: arch)
        monkeypatch.setattr(sys, "maxsize", 2**63)
        codeflash_output = get_architecture(); result = codeflash_output # 45.0μs -> 42.6μs (5.61% faster)

def test_get_architecture_performance(monkeypatch):
    # Large scale: run get_architecture 1000 times with different arch strings
    import platform
    for i in range(1000):
        arch = f"customarch{i}"
        monkeypatch.setattr(platform, "machine", lambda arch=arch: arch)
        monkeypatch.setattr(sys, "maxsize", 2**63)
        codeflash_output = get_architecture(); result = codeflash_output # 430μs -> 406μs (5.86% faster)

def test_get_architecture_sys_maxsize_boundary(monkeypatch):
    # Edge: sys.maxsize exactly 2**32
    import platform
    monkeypatch.setattr(platform, "machine", lambda: "fooarch")
    monkeypatch.setattr(sys, "maxsize", 2**32)
    codeflash_output = get_architecture(); result = codeflash_output # 1.40μs -> 1.32μs (5.83% faster)

def test_get_architecture_case_insensitivity(monkeypatch):
    # Basic: machine string should be case-insensitive
    import platform
    monkeypatch.setattr(platform, "machine", lambda: "AARCH64")
    monkeypatch.setattr(sys, "maxsize", 2**63)
    codeflash_output = get_architecture(); result = codeflash_output # 829ns -> 813ns (1.97% faster)

def test_get_architecture_returns_otherarch_type(monkeypatch):
    # Basic: for unknown arch, should return OtherArch type
    import platform
    monkeypatch.setattr(platform, "machine", lambda: "customarch")
    monkeypatch.setattr(sys, "maxsize", 2**63)
    codeflash_output = get_architecture(); result = codeflash_output # 1.69μs -> 1.56μs (8.34% faster)

def test_get_architecture_returns_unknown_for_none(monkeypatch):
    # Edge: platform.machine returns None
    import platform
    monkeypatch.setattr(platform, "machine", lambda: None)
    codeflash_output = get_architecture(); result = codeflash_output # 1.38μs -> 1.31μs (5.17% faster)

def test_get_architecture_returns_unknown_for_empty(monkeypatch):
    # Edge: platform.machine returns empty string
    import platform
    monkeypatch.setattr(platform, "machine", lambda: "")
    codeflash_output = get_architecture(); result = codeflash_output # 1.07μs -> 1.03μs (3.78% faster)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
import platform
import sys

# imports
import pytest
from openai._base_client import get_architecture


# function to test
class OtherArch(str):
    """Represents architectures not in the known set."""
    pass

Arch = OtherArch | str  # For test purposes, since Literal is not enforced at runtime
from openai._base_client import get_architecture

# unit tests

# --- Basic Test Cases ---

def test_x86_64_arch(monkeypatch):
    """Test standard x86_64 architecture mapping to 'x64'."""
    monkeypatch.setattr(platform, "machine", lambda: "x86_64")
    monkeypatch.setattr(sys, "maxsize", 2**63)  # Simulate 64-bit
    codeflash_output = get_architecture() # 879ns -> 769ns (14.3% faster)

def test_arm64_arch(monkeypatch):
    """Test arm64 and aarch64 mapping to 'arm64'."""
    monkeypatch.setattr(platform, "machine", lambda: "arm64")
    codeflash_output = get_architecture() # 792ns -> 810ns (2.22% slower)
    monkeypatch.setattr(platform, "machine", lambda: "aarch64")
    codeflash_output = get_architecture() # 447ns -> 483ns (7.45% slower)

def test_arm_arch(monkeypatch):
    """Test arm mapping to 'arm'."""
    monkeypatch.setattr(platform, "machine", lambda: "arm")
    codeflash_output = get_architecture() # 876ns -> 786ns (11.5% faster)

def test_x32_arch(monkeypatch):
    """Test 32-bit systems mapping to 'x32'."""
    monkeypatch.setattr(platform, "machine", lambda: "x86_64")  # machine is not arm
    monkeypatch.setattr(sys, "maxsize", 2**32)  # Simulate 32-bit
    codeflash_output = get_architecture() # 884ns -> 682ns (29.6% faster)

def test_other_known_arch(monkeypatch):
    """Test an unknown but valid architecture string."""
    monkeypatch.setattr(platform, "machine", lambda: "mips")
    monkeypatch.setattr(sys, "maxsize", 2**63)  # Simulate 64-bit
    codeflash_output = get_architecture(); result = codeflash_output # 1.69μs -> 1.61μs (5.16% faster)

# --- Edge Test Cases ---

def test_machine_empty_string(monkeypatch):
    """Test when platform.machine returns empty string."""
    monkeypatch.setattr(platform, "machine", lambda: "")
    monkeypatch.setattr(sys, "maxsize", 2**63)
    codeflash_output = get_architecture() # 1.08μs -> 970ns (11.4% faster)

def test_machine_none(monkeypatch):
    """Test when platform.machine returns None."""
    monkeypatch.setattr(platform, "machine", lambda: None)
    monkeypatch.setattr(sys, "maxsize", 2**63)
    codeflash_output = get_architecture() # 1.36μs -> 1.35μs (1.34% faster)

def test_machine_exception(monkeypatch):
    """Test when platform.machine raises an exception."""
    monkeypatch.setattr(platform, "machine", lambda: (_ for _ in ()).throw(RuntimeError("fail")))
    codeflash_output = get_architecture() # 2.11μs -> 2.04μs (3.83% faster)

def test_machine_case_insensitivity(monkeypatch):
    """Test that casing is ignored (should be lowercased)."""
    monkeypatch.setattr(platform, "machine", lambda: "X86_64")
    monkeypatch.setattr(sys, "maxsize", 2**63)
    codeflash_output = get_architecture() # 964ns -> 796ns (21.1% faster)
    monkeypatch.setattr(platform, "machine", lambda: "ARM64")
    codeflash_output = get_architecture() # 496ns -> 549ns (9.65% slower)

def test_machine_with_spaces(monkeypatch):
    """Test machine string with leading/trailing spaces."""
    monkeypatch.setattr(platform, "machine", lambda: "  arm64  ")
    codeflash_output = get_architecture() # 1.71μs -> 1.46μs (17.2% faster)

def test_machine_weird_value(monkeypatch):
    """Test truly weird/unknown architecture string."""
    monkeypatch.setattr(platform, "machine", lambda: "superunknownarch")
    monkeypatch.setattr(sys, "maxsize", 2**63)
    codeflash_output = get_architecture(); result = codeflash_output # 1.52μs -> 1.30μs (16.9% faster)

def test_machine_numeric(monkeypatch):
    """Test machine string that is numeric."""
    monkeypatch.setattr(platform, "machine", lambda: "123456")
    monkeypatch.setattr(sys, "maxsize", 2**63)
    codeflash_output = get_architecture(); result = codeflash_output # 1.43μs -> 1.39μs (2.66% faster)

def test_machine_special_characters(monkeypatch):
    """Test machine string with special characters."""
    monkeypatch.setattr(platform, "machine", lambda: "@#!$")
    monkeypatch.setattr(sys, "maxsize", 2**63)
    codeflash_output = get_architecture(); result = codeflash_output # 1.41μs -> 1.31μs (7.96% faster)

def test_machine_spaces_only(monkeypatch):
    """Test machine string that is only spaces."""
    monkeypatch.setattr(platform, "machine", lambda: "   ")
    monkeypatch.setattr(sys, "maxsize", 2**63)
    codeflash_output = get_architecture(); result = codeflash_output # 1.37μs -> 1.33μs (3.17% faster)

# --- Large Scale Test Cases ---

@pytest.mark.parametrize("arch_name", [
    f"arch{i}" for i in range(100)  # Test 100 unique architectures
])
def test_many_other_archs(monkeypatch, arch_name):
    """Test a large variety of unknown architecture strings."""
    monkeypatch.setattr(platform, "machine", lambda: arch_name)
    monkeypatch.setattr(sys, "maxsize", 2**63)
    codeflash_output = get_architecture(); result = codeflash_output # 142μs -> 135μs (4.75% faster)

def test_large_arch_string(monkeypatch):
    """Test a very long architecture string."""
    long_arch = "arch" + "x" * 500
    monkeypatch.setattr(platform, "machine", lambda: long_arch)
    monkeypatch.setattr(sys, "maxsize", 2**63)
    codeflash_output = get_architecture(); result = codeflash_output # 1.79μs -> 1.78μs (0.675% faster)

def test_large_scale_x32(monkeypatch):
    """Test many x32 architectures (simulate 32-bit for many values)."""
    for i in range(50):
        monkeypatch.setattr(platform, "machine", lambda: f"arch32_{i}")
        monkeypatch.setattr(sys, "maxsize", 2**32)
        codeflash_output = get_architecture() # 19.5μs -> 19.1μs (2.18% faster)

def test_large_scale_arm64(monkeypatch):
    """Test arm64 and aarch64 for many casing/whitespace variants."""
    for arch in ["arm64", "aarch64", "ARM64", "AARCH64", " arm64 ", " aarch64 "]:
        monkeypatch.setattr(platform, "machine", lambda: arch)
        codeflash_output = get_architecture() # 3.59μs -> 3.47μs (3.43% faster)
# 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 get_architecture

def test_get_architecture():
    get_architecture()

⏪ Replay Tests and Runtime

Test File::Test Function	Original ⏱️	Optimized ⏱️	Speedup
test_pytest_testsapi_resourcestest_models_py_testsapi_resourcestest_images_py_testsapi_resourcescontainer__replay_test_0.py::test_openai__base_client_get_architecture	4.03μs	3.20μs	25.8%✅

🔎 Concolic Coverage Tests and Runtime

Test File::Test Function	Original ⏱️	Optimized ⏱️	Speedup
codeflash_concolic_g6lys7gg/tmpiyv2armi/test_concolic_coverage.py::test_get_architecture	1.93μs	1.72μs	12.6%✅

To edit these changes git checkout codeflash/optimize-get_architecture-mhdbwv1w and push.