⚡️ Speed up method EnvField.get_set_value_or by 12%

[codeflash-ai]

📄 12% (0.12x) speedup for EnvField.get_set_value_or in python/sglang/srt/environ.py

⏱️ Runtime : 84.2 microseconds → 75.2 microseconds (best of 48 runs)

📝 Explanation and details

The optimized code achieves an 11% speedup through targeted micro-optimizations that reduce attribute lookups and function call overhead:

Key optimizations:

1. Replaced os.getenv() with os.environ.get() - Direct dictionary access is faster than the function call wrapper, saving ~6μs in the get() method (45.6% vs 52.1% of execution time).

2. Localized attribute lookups in hot paths - In get_set_value_or(), variables like env = os.environ and name = self.name are cached locally, eliminating repeated attribute access overhead. This is particularly effective since the line profiler shows this method is called 114 times in tests.

3. Inlined condition checking - Instead of calling self.is_set() (which adds method call overhead), the condition name in env or self._set_to_none is evaluated directly in get_set_value_or(), reducing the call from 6550ns per hit to under 3000ns per hit.

Performance impact by test case:

• Tests with unset environment variables see the biggest gains (9-17% faster) since they benefit most from the inlined condition check that avoids the expensive get() call
• Large-scale tests with 100+ fields show 12.1% improvement, demonstrating the cumulative effect of reduced attribute lookups
• The optimization is particularly valuable for cases where get_set_value_or() is called repeatedly with unset variables, as it can return the or_value directly without expensive environment parsing

The changes maintain identical functionality while optimizing the common code paths where environment variables are frequently checked but often unset.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 923 Passed
⏪ Replay Tests	🔘 None Found
🔎 Concolic Coverage Tests	✅ 2 Passed
📊 Tests Coverage	100.0%

🌀 Generated Regression Tests and Runtime

import os
import warnings
from typing import Any

# imports
import pytest
from sglang.srt.environ import EnvField

# --- Basic Test Cases ---






















#------------------------------------------------
import os
import warnings
from typing import Any

# imports
import pytest  # used for our unit tests
from sglang.srt.environ import EnvField

# unit tests

# Helper class to simulate owner for __set_name__
class DummyOwner:
    pass

# BASIC TEST CASES

def test_get_set_value_or_returns_env_value_when_set():
    """Should return parsed env value when set"""
    field = EnvField(default=42)
    field.__set_name__(DummyOwner, "TEST_ENVFIELD_BASIC")
    os.environ["TEST_ENVFIELD_BASIC"] = "123"
    codeflash_output = field.get_set_value_or(99)  # parsed int



def test_get_set_value_or_returns_default_on_invalid_parse(monkeypatch):
    """Should fallback to default if parse fails"""
    field = EnvField(default=88)
    field.__set_name__(DummyOwner, "TEST_ENVFIELD_BASIC4")
    os.environ["TEST_ENVFIELD_BASIC4"] = "not_an_int"
    with warnings.catch_warnings(record=True) as w:
        codeflash_output = field.get_set_value_or(99); result = codeflash_output

def test_get_set_value_or_with_or_value_none():
    """Should return None for or_value if not set"""
    field = EnvField(default=33)
    field.__set_name__(DummyOwner, "TEST_ENVFIELD_BASIC5")
    field.clear()
    codeflash_output = field.get_set_value_or(None) # 1.97μs -> 1.79μs (9.75% faster)

# EDGE TEST CASES


def test_get_set_value_or_env_set_to_whitespace():
    """Should raise ValueError and fallback to default if env is whitespace"""
    field = EnvField(default=1)
    field.__set_name__(DummyOwner, "TEST_ENVFIELD_EDGE2")
    os.environ["TEST_ENVFIELD_EDGE2"] = "   "
    with warnings.catch_warnings(record=True) as w:
        codeflash_output = field.get_set_value_or(99)

def test_get_set_value_or_env_set_to_large_int():
    """Should parse and return large integer"""
    field = EnvField(default=2)
    field.__set_name__(DummyOwner, "TEST_ENVFIELD_EDGE3")
    large_int = str(2**62)
    os.environ["TEST_ENVFIELD_EDGE3"] = large_int
    codeflash_output = field.get_set_value_or(99)


def test_get_set_value_or_env_unset_and_default_none():
    """Should return or_value if env is unset and default is None"""
    field = EnvField(default=None)
    field.__set_name__(DummyOwner, "TEST_ENVFIELD_EDGE5")
    field.clear()
    codeflash_output = field.get_set_value_or("fallback") # 2.01μs -> 1.72μs (17.0% faster)

def test_get_set_value_or_env_set_to_negative_int():
    """Should parse and return negative integer"""
    field = EnvField(default=5)
    field.__set_name__(DummyOwner, "TEST_ENVFIELD_EDGE6")
    os.environ["TEST_ENVFIELD_EDGE6"] = "-123"
    codeflash_output = field.get_set_value_or(99)


def test_get_set_value_or_many_fields_with_env():
    """Should handle many EnvField instances with env vars set"""
    fields = []
    for i in range(100):
        field = EnvField(default=i)
        name = f"TEST_ENVFIELD_LARGE_{i}"
        field.__set_name__(DummyOwner, name)
        os.environ[name] = str(i * 10)
        fields.append(field)
    for i, field in enumerate(fields):
        codeflash_output = field.get_set_value_or(-1)  # parsed value

def test_get_set_value_or_many_fields_without_env():
    """Should handle many EnvField instances with env vars unset, using or_value"""
    fields = []
    for i in range(100):
        field = EnvField(default=i)
        name = f"TEST_ENVFIELD_LARGE2_{i}"
        field.__set_name__(DummyOwner, name)
        field.clear()
        fields.append(field)
    for i, field in enumerate(fields):
        codeflash_output = field.get_set_value_or(i * 100) # 76.8μs -> 68.5μs (12.1% faster)


def test_get_set_value_or_performance_large_scale(monkeypatch):
    """Should not degrade performance with large number of fields"""
    import time
    fields = []
    start = time.time()
    for i in range(500):
        field = EnvField(default=i)
        name = f"TEST_ENVFIELD_PERF_{i}"
        field.__set_name__(DummyOwner, name)
        os.environ[name] = str(i)
        fields.append(field)
    # Should complete in reasonable time (under 0.5s)
    for i, field in enumerate(fields):
        codeflash_output = field.get_set_value_or(-1)
    end = time.time()

def test_get_set_value_or_large_scale_with_invalid_values():
    """Should fallback to default for many fields with invalid env values"""
    fields = []
    for i in range(100):
        field = EnvField(default=i)
        name = f"TEST_ENVFIELD_LARGE4_{i}"
        field.__set_name__(DummyOwner, name)
        os.environ[name] = "not_an_int"
        fields.append(field)
    for i, field in enumerate(fields):
        with warnings.catch_warnings(record=True) as w:
            codeflash_output = field.get_set_value_or(-1)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
from sglang.srt.environ import EnvField
import pytest

def test_EnvField_get_set_value_or():
    with pytest.raises(AttributeError, match="'EnvField'\\ object\\ has\\ no\\ attribute\\ 'name'"):
        EnvField.get_set_value_or(EnvField(''), '')

🔎 Concolic Coverage Tests and Runtime

To edit these changes git checkout codeflash/optimize-EnvField.get_set_value_or-mhokp3dh and push.