⚡️ Speed up function organization_info by 14%

[codeflash-ai]

📄 14% (0.14x) speedup for organization_info in src/openai/cli/_utils.py

⏱️ Runtime : 725 microseconds → 635 microseconds (best of 259 runs)

📝 Explanation and details

The optimization replaces the .format() method with an f-string for string formatting. This change yields a 14% speedup by reducing the overhead of method calls and string formatting operations.

Key Change:

• "[organization={}] ".format(organization) → f"[organization={organization}] "

Why This is Faster:
F-strings are compiled into more efficient bytecode compared to .format() calls. The .format() method involves:

1. Method lookup and invocation overhead
2. Dictionary-style argument parsing internally
3. Additional string object creation during formatting

F-strings eliminate these steps by performing the formatting directly at compile time, resulting in fewer Python operations at runtime.

Performance Impact by Test Case:

• String values (most common case): 41-75% faster - excellent improvement for typical organization IDs
• Complex objects (lists, dicts): 10-18% faster - still beneficial but less dramatic due to __str__() conversion overhead dominating
• None values: Minimal impact (3% faster) since the formatting line isn't executed
• Large data structures: 1-3% faster - the string conversion cost dominates, making the formatting optimization less significant

The line profiler shows the formatting line went from 730,025ns to 573,950ns (21% improvement on that specific line), which translates to the overall 14% function speedup. This optimization is particularly effective for applications making frequent calls with typical string organization values.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 2045 Passed
⏪ Replay Tests	🔘 None Found
🔎 Concolic Coverage Tests	✅ 1 Passed
📊 Tests Coverage	100.0%

🌀 Generated Regression Tests and Runtime

from __future__ import annotations

import openai
# imports
import pytest  # used for our unit tests
from openai.cli._utils import organization_info

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

def test_organization_info_with_valid_string(monkeypatch):
    # Test with a normal organization string
    monkeypatch.setattr(openai, "organization", "org_abc123")
    codeflash_output = organization_info() # 1.13μs -> 667ns (69.6% faster)

def test_organization_info_with_none(monkeypatch):
    # Test when organization is None
    monkeypatch.setattr(openai, "organization", None)
    codeflash_output = organization_info() # 386ns -> 435ns (11.3% slower)

def test_organization_info_with_empty_string(monkeypatch):
    # Test with empty string (should still print organization)
    monkeypatch.setattr(openai, "organization", "")
    codeflash_output = organization_info() # 1.02μs -> 585ns (75.0% faster)

def test_organization_info_with_integer(monkeypatch):
    # Test with integer value
    monkeypatch.setattr(openai, "organization", 12345)
    codeflash_output = organization_info() # 1.09μs -> 721ns (51.0% faster)

def test_organization_info_with_bool(monkeypatch):
    # Test with boolean value
    monkeypatch.setattr(openai, "organization", True)
    codeflash_output = organization_info() # 1.46μs -> 1.06μs (37.5% faster)

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

def test_organization_info_with_long_string(monkeypatch):
    # Test with a very long organization string
    long_org = "org_" + "x" * 500
    monkeypatch.setattr(openai, "organization", long_org)
    expected = f"[organization={long_org}] "
    codeflash_output = organization_info() # 1.21μs -> 559ns (117% faster)

def test_organization_info_with_special_characters(monkeypatch):
    # Test with special characters in organization
    special_org = "org_!@#$%^&*()_+-=[]{}|;':,.<>/?"
    monkeypatch.setattr(openai, "organization", special_org)
    expected = f"[organization={special_org}] "
    codeflash_output = organization_info() # 879ns -> 522ns (68.4% faster)

def test_organization_info_with_unicode(monkeypatch):
    # Test with unicode characters
    unicode_org = "组织_测试_🚀"
    monkeypatch.setattr(openai, "organization", unicode_org)
    expected = f"[organization={unicode_org}] "
    codeflash_output = organization_info() # 1.56μs -> 595ns (162% faster)

def test_organization_info_with_object(monkeypatch):
    # Test with an object as organization
    class OrgObj:
        def __str__(self):
            return "OrgObjInstance"
    obj = OrgObj()
    monkeypatch.setattr(openai, "organization", obj)
    codeflash_output = organization_info() # 1.64μs -> 1.20μs (36.9% faster)

def test_organization_info_with_list(monkeypatch):
    # Test with a list as organization
    monkeypatch.setattr(openai, "organization", ["org1", "org2"])
    # str(["org1", "org2"]) -> "['org1', 'org2']"
    codeflash_output = organization_info() # 2.31μs -> 2.02μs (14.5% faster)

def test_organization_info_with_dict(monkeypatch):
    # Test with a dict as organization
    monkeypatch.setattr(openai, "organization", {"id": "org1"})
    # str({"id": "org1"}) -> "{'id': 'org1'}"
    codeflash_output = organization_info() # 2.10μs -> 1.76μs (18.8% faster)

def test_organization_info_with_false(monkeypatch):
    # Test with boolean False
    monkeypatch.setattr(openai, "organization", False)
    codeflash_output = organization_info() # 1.29μs -> 925ns (39.0% faster)

def test_organization_info_with_zero(monkeypatch):
    # Test with integer zero
    monkeypatch.setattr(openai, "organization", 0)
    codeflash_output = organization_info() # 933ns -> 671ns (39.0% faster)

def test_organization_info_with_float(monkeypatch):
    # Test with float value
    monkeypatch.setattr(openai, "organization", 3.1415)
    codeflash_output = organization_info() # 2.58μs -> 2.49μs (3.86% faster)

def test_organization_info_with_bytes(monkeypatch):
    # Test with bytes value
    monkeypatch.setattr(openai, "organization", b"bytes_org")
    codeflash_output = organization_info() # 1.65μs -> 1.05μs (56.7% faster)

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

def test_organization_info_with_large_list(monkeypatch):
    # Test with a large list as organization
    large_list = ["org" + str(i) for i in range(1000)]
    monkeypatch.setattr(openai, "organization", large_list)
    expected = f"[organization={str(large_list)}] "
    codeflash_output = organization_info() # 29.7μs -> 29.2μs (1.65% faster)

def test_organization_info_with_large_string(monkeypatch):
    # Test with a large string (999 'x's)
    large_str = "org_" + "x" * 999
    monkeypatch.setattr(openai, "organization", large_str)
    expected = f"[organization={large_str}] "
    codeflash_output = organization_info() # 1.25μs -> 639ns (96.4% faster)

def test_organization_info_with_large_dict(monkeypatch):
    # Test with a large dictionary
    large_dict = {str(i): i for i in range(1000)}
    monkeypatch.setattr(openai, "organization", large_dict)
    expected = f"[organization={str(large_dict)}] "
    codeflash_output = organization_info() # 63.3μs -> 62.4μs (1.39% faster)

def test_organization_info_with_large_nested_structure(monkeypatch):
    # Test with a large nested structure
    large_nested = {"orgs": [{"id": i, "name": f"org_{i}"} for i in range(500)]}
    monkeypatch.setattr(openai, "organization", large_nested)
    expected = f"[organization={str(large_nested)}] "
    codeflash_output = organization_info() # 119μs -> 119μs (0.392% slower)

# ------------------------
# Determinism Test
# ------------------------

def test_organization_info_determinism(monkeypatch):
    # Test that repeated calls with same input give same output
    monkeypatch.setattr(openai, "organization", "org_repeat")
    codeflash_output = organization_info(); out1 = codeflash_output # 961ns -> 637ns (50.9% faster)
    codeflash_output = organization_info(); out2 = codeflash_output # 329ns -> 248ns (32.7% faster)

# ------------------------
# Type Robustness Test
# ------------------------

@pytest.mark.parametrize("value,expected", [
    ("org_id", "[organization=org_id] "),
    (None, ""),
    ("", "[organization=] "),
    (123, "[organization=123] "),
    (False, "[organization=False] "),
    ([], "[organization=[]] "),
    ({}, "[organization={}] "),
])
def test_organization_info_various_types(monkeypatch, value, expected):
    # Test various types in a single parametrized test
    monkeypatch.setattr(openai, "organization", value)
    codeflash_output = organization_info() # 7.38μs -> 5.39μs (36.8% 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

import openai
# imports
import pytest  # used for our unit tests
from openai.cli._utils import organization_info

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

def test_organization_info_with_valid_string():
    # Test with a typical organization string
    openai.organization = "org-123abc"
    codeflash_output = organization_info(); result = codeflash_output # 841ns -> 596ns (41.1% faster)

def test_organization_info_with_empty_string():
    # Test with an empty string as organization
    openai.organization = ""
    codeflash_output = organization_info(); result = codeflash_output # 771ns -> 532ns (44.9% faster)

def test_organization_info_with_none():
    # Test when organization is None
    openai.organization = None
    codeflash_output = organization_info(); result = codeflash_output # 394ns -> 381ns (3.41% faster)

def test_organization_info_with_numeric_string():
    # Test with a numeric string as organization
    openai.organization = "123456"
    codeflash_output = organization_info(); result = codeflash_output # 904ns -> 550ns (64.4% faster)

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

def test_organization_info_with_long_string():
    # Test with a very long organization string
    long_org = "org_" + "x" * 500
    openai.organization = long_org
    codeflash_output = organization_info(); result = codeflash_output # 1.16μs -> 677ns (71.2% faster)

def test_organization_info_with_special_characters():
    # Test with special characters in organization
    special_org = "!@#$%^&*()_+-=[]{}|;':,.<>/?"
    openai.organization = special_org
    codeflash_output = organization_info(); result = codeflash_output # 812ns -> 597ns (36.0% faster)

def test_organization_info_with_unicode_characters():
    # Test with unicode characters in organization
    unicode_org = "org-测试-🚀"
    openai.organization = unicode_org
    codeflash_output = organization_info(); result = codeflash_output # 1.51μs -> 882ns (71.7% faster)

def test_organization_info_with_false_boolean():
    # Test with boolean False (should not be possible, but check behavior)
    openai.organization = False
    codeflash_output = organization_info(); result = codeflash_output # 1.31μs -> 1.00μs (31.0% faster)

def test_organization_info_with_true_boolean():
    # Test with boolean True
    openai.organization = True
    codeflash_output = organization_info(); result = codeflash_output # 1.20μs -> 849ns (41.8% faster)

def test_organization_info_with_integer():
    # Test with integer value
    openai.organization = 123456
    codeflash_output = organization_info(); result = codeflash_output # 867ns -> 669ns (29.6% faster)

def test_organization_info_with_float():
    # Test with float value
    openai.organization = 3.14159
    codeflash_output = organization_info(); result = codeflash_output # 2.47μs -> 2.35μs (5.07% faster)

def test_organization_info_with_object():
    # Test with an object as organization
    class DummyOrg:
        def __str__(self):
            return "DummyOrg"
    openai.organization = DummyOrg()
    codeflash_output = organization_info(); result = codeflash_output # 1.73μs -> 1.28μs (35.3% faster)

def test_organization_info_with_list():
    # Test with a list as organization
    openai.organization = ["org1", "org2"]
    codeflash_output = organization_info(); result = codeflash_output # 2.28μs -> 2.07μs (10.0% faster)

def test_organization_info_with_dict():
    # Test with a dict as organization
    openai.organization = {"id": "org1"}
    codeflash_output = organization_info(); result = codeflash_output # 2.05μs -> 1.74μs (18.0% faster)

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

def test_organization_info_with_max_length_string():
    # Test with a string of length 1000
    max_org = "org_" + "y" * (1000 - 4)
    openai.organization = max_org
    codeflash_output = organization_info(); result = codeflash_output # 1.18μs -> 804ns (46.9% faster)

def test_organization_info_with_many_unique_calls():
    # Test calling organization_info with many different organizations
    for i in range(1000):
        openai.organization = f"org_{i}"
        codeflash_output = organization_info(); result = codeflash_output # 266μs -> 191μs (38.9% faster)

def test_organization_info_with_many_none_calls():
    # Test calling organization_info with organization=None many times
    for _ in range(1000):
        openai.organization = None
        codeflash_output = organization_info(); result = codeflash_output # 161μs -> 162μs (0.732% slower)

def test_organization_info_with_large_object_list():
    # Test with a large list as organization
    large_list = [f"org_{i}" for i in range(1000)]
    openai.organization = large_list
    codeflash_output = organization_info(); result = codeflash_output # 32.8μs -> 31.7μs (3.28% faster)

def test_organization_info_performance_large_scale():
    # Performance test: ensure function returns quickly with large string
    import time
    large_org = "org_" + "z" * 999
    openai.organization = large_org
    start = time.time()
    codeflash_output = organization_info(); result = codeflash_output # 1.49μs -> 858ns (74.0% faster)
    end = time.time()
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
from openai.cli._utils import organization_info

def test_organization_info():
    organization_info()

🔎 Concolic Coverage Tests and Runtime

Test File::Test Function	Original ⏱️	Optimized ⏱️	Speedup
codeflash_concolic_g6lys7gg/tmprtsvde7f/test_concolic_coverage.py::test_organization_info	527ns	642ns	-17.9%⚠️

To edit these changes git checkout codeflash/optimize-organization_info-mhd2bkhk and push.