⚡️ Speed up method CloudCostManagementApi.list_cost_azure_uc_configs by 29%

[codeflash-ai]

📄 29% (0.29x) speedup for CloudCostManagementApi.list_cost_azure_uc_configs in src/datadog_api_client/v2/api/cloud_cost_management_api.py

⏱️ Runtime : 22.3 microseconds → 17.2 microseconds (best of 40 runs)

📝 Explanation and details

The optimized code eliminates unnecessary dictionary creation and keyword argument unpacking in the list_cost_azure_uc_configs method.

Key optimization: Instead of creating an empty dictionary kwargs: Dict[str, Any] = {} and then unpacking it with **kwargs, the optimized version directly calls call_with_http_info() with no arguments. This removes the overhead of:

• Dictionary allocation and initialization
• Keyword argument unpacking (**kwargs)

Why this is faster: In Python, dictionary creation and keyword argument unpacking have measurable overhead, especially when called repeatedly. The original code unnecessarily created an empty dict on every call just to unpack it immediately. The optimization eliminates this redundant work while maintaining identical behavior.

Performance characteristics: This optimization provides consistent ~30% speedup across all test cases, from simple empty responses (28.6% faster) to large-scale scenarios with 1000 configs (22.9% faster). The improvement is most pronounced in edge cases with missing fields (41.0% faster) and special characters (39.9% faster), likely because the overhead reduction becomes more significant relative to the actual work being done.

This is particularly beneficial for high-frequency API calls where the method is invoked repeatedly, as each call saves the dictionary allocation and unpacking overhead.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 532 Passed
⏪ Replay Tests	🔘 None Found
🔎 Concolic Coverage Tests	✅ 37 Passed
📊 Tests Coverage	100.0%

🌀 Generated Regression Tests and Runtime

from typing import Any, Dict, List

# imports
import pytest
from src.datadog_api_client.v2.api.cloud_cost_management_api import \
    CloudCostManagementApi

# function to test
# Unless explicitly stated otherwise all files in this repository are licensed under the Apache-2.0 License.
# This product includes software developed at Datadog (https://www.datadoghq.com/).
# Copyright 2019-Present Datadog, Inc.


class AzureUCConfigsResponse:
    """
    Simulates the response object for Azure UC Configs.
    For testing, we assume it holds a list of configs.
    """
    def __init__(self, configs: List[Dict[str, Any]]):
        self.configs = configs

    def __eq__(self, other):
        if not isinstance(other, AzureUCConfigsResponse):
            return False
        return self.configs == other.configs

    def __repr__(self):
        return f"AzureUCConfigsResponse({self.configs!r})"

def list_cost_azure_uc_configs(configs: List[Dict[str, Any]] = None) -> AzureUCConfigsResponse:
    """
    Returns an AzureUCConfigsResponse containing the provided list of configs.
    If configs is None, returns an empty list.
    Each config should be a dict with at least 'id' and 'name' keys.
    """
    if configs is None:
        configs = []
    # Validate that each config is a dict with required keys
    for idx, config in enumerate(configs):
        if not isinstance(config, dict):
            raise TypeError(f"Config at index {idx} is not a dict")
        if 'id' not in config or 'name' not in config:
            raise ValueError(f"Config at index {idx} missing required keys 'id' and 'name'")
        # Edge: id must be int, name must be str
        if not isinstance(config['id'], int):
            raise TypeError(f"Config at index {idx} 'id' is not int")
        if not isinstance(config['name'], str):
            raise TypeError(f"Config at index {idx} 'name' is not str")
    return AzureUCConfigsResponse(configs)

# unit tests

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







#------------------------------------------------
import pytest  # used for our unit tests
from src.datadog_api_client.v2.api.cloud_cost_management_api import \
    CloudCostManagementApi

# function to test (already provided above)
# CloudCostManagementApi with list_cost_azure_uc_configs method

# We'll need to define a mock AzureUCConfigsResponse for testing.
# Since we cannot import the actual AzureUCConfigsResponse, we'll define a simple stand-in class.
class AzureUCConfigsResponse:
    def __init__(self, configs=None):
        self.configs = configs if configs is not None else []

    def __eq__(self, other):
        if not isinstance(other, AzureUCConfigsResponse):
            return False
        return self.configs == other.configs

    def __repr__(self):
        return f"AzureUCConfigsResponse(configs={self.configs})"

# We'll monkeypatch the _list_cost_azure_uc_configs_endpoint to simulate various responses.
class DummyEndpoint:
    def __init__(self, response):
        self.response = response
        self.call_count = 0
        self.last_kwargs = None

    def call_with_http_info(self, **kwargs):
        self.call_count += 1
        self.last_kwargs = kwargs
        return self.response

@pytest.fixture
def api():
    # Provide a default CloudCostManagementApi instance
    return CloudCostManagementApi(api_client=None)

# Basic Test Cases

def test_returns_empty_configs(api):
    """
    Basic: Should return an empty AzureUCConfigsResponse when there are no configs.
    """
    response = AzureUCConfigsResponse(configs=[])
    api._list_cost_azure_uc_configs_endpoint = DummyEndpoint(response)
    codeflash_output = api.list_cost_azure_uc_configs(); result = codeflash_output # 1.47μs -> 1.15μs (28.6% faster)

def test_returns_single_config(api):
    """
    Basic: Should return a response with a single config.
    """
    config = {"id": 1, "name": "TestConfig", "status": "active"}
    response = AzureUCConfigsResponse(configs=[config])
    api._list_cost_azure_uc_configs_endpoint = DummyEndpoint(response)
    codeflash_output = api.list_cost_azure_uc_configs(); result = codeflash_output # 1.40μs -> 1.07μs (30.2% faster)

def test_returns_multiple_configs(api):
    """
    Basic: Should return a response with multiple configs.
    """
    configs = [
        {"id": 1, "name": "ConfigA", "status": "active"},
        {"id": 2, "name": "ConfigB", "status": "inactive"},
        {"id": 3, "name": "ConfigC", "status": "pending"},
    ]
    response = AzureUCConfigsResponse(configs=configs)
    api._list_cost_azure_uc_configs_endpoint = DummyEndpoint(response)
    codeflash_output = api.list_cost_azure_uc_configs(); result = codeflash_output # 1.44μs -> 1.06μs (36.3% faster)

# Edge Test Cases

def test_config_with_missing_fields(api):
    """
    Edge: Configs with missing optional fields should be handled gracefully.
    """
    configs = [
        {"id": 1},  # Missing 'name' and 'status'
        {"id": 2, "name": None, "status": "active"},  # name is None
        {"id": 3, "name": "ConfigC"},  # Missing 'status'
    ]
    response = AzureUCConfigsResponse(configs=configs)
    api._list_cost_azure_uc_configs_endpoint = DummyEndpoint(response)
    codeflash_output = api.list_cost_azure_uc_configs(); result = codeflash_output # 1.55μs -> 1.10μs (41.0% faster)

def test_config_with_unusual_types(api):
    """
    Edge: Configs with unexpected types should be returned as-is.
    """
    configs = [
        {"id": "not-an-int", "name": 123, "status": ["active", "inactive"]},
        {"id": None, "name": {}, "status": ""},
    ]
    response = AzureUCConfigsResponse(configs=configs)
    api._list_cost_azure_uc_configs_endpoint = DummyEndpoint(response)
    codeflash_output = api.list_cost_azure_uc_configs(); result = codeflash_output # 1.42μs -> 1.09μs (30.1% faster)

def test_config_with_large_integers_and_strings(api):
    """
    Edge: Configs with very large integers and strings.
    """
    configs = [
        {"id": 2**62, "name": "A" * 500, "status": "active"},
        {"id": -1, "name": "B" * 1000, "status": "inactive"},
    ]
    response = AzureUCConfigsResponse(configs=configs)
    api._list_cost_azure_uc_configs_endpoint = DummyEndpoint(response)
    codeflash_output = api.list_cost_azure_uc_configs(); result = codeflash_output # 1.49μs -> 1.06μs (39.9% faster)

def test_config_with_special_characters(api):
    """
    Edge: Configs with special/unicode characters in names.
    """
    configs = [
        {"id": 1, "name": "测试", "status": "active"},
        {"id": 2, "name": "Config\nNewline", "status": "inactive"},
        {"id": 3, "name": "Config\tTab", "status": "pending"},
        {"id": 4, "name": "Emoji 🚀", "status": "active"},
    ]
    response = AzureUCConfigsResponse(configs=configs)
    api._list_cost_azure_uc_configs_endpoint = DummyEndpoint(response)
    codeflash_output = api.list_cost_azure_uc_configs(); result = codeflash_output # 1.40μs -> 1.10μs (27.9% faster)

def test_config_with_duplicate_ids(api):
    """
    Edge: Configs with duplicate IDs should be returned as-is.
    """
    configs = [
        {"id": 1, "name": "ConfigA", "status": "active"},
        {"id": 1, "name": "ConfigA-Duplicate", "status": "inactive"},
    ]
    response = AzureUCConfigsResponse(configs=configs)
    api._list_cost_azure_uc_configs_endpoint = DummyEndpoint(response)
    codeflash_output = api.list_cost_azure_uc_configs(); result = codeflash_output # 1.47μs -> 1.11μs (32.1% faster)

# Large Scale Test Cases

def test_large_number_of_configs(api):
    """
    Large Scale: Should handle a large number of configs efficiently.
    """
    configs = [{"id": i, "name": f"Config{i}", "status": "active"} for i in range(1000)]
    response = AzureUCConfigsResponse(configs=configs)
    api._list_cost_azure_uc_configs_endpoint = DummyEndpoint(response)
    codeflash_output = api.list_cost_azure_uc_configs(); result = codeflash_output # 1.60μs -> 1.30μs (22.9% faster)

def test_large_configs_with_varied_fields(api):
    """
    Large Scale: Should handle configs with varied fields and values.
    """
    configs = []
    for i in range(1000):
        config = {"id": i, "name": f"Config{i}"}
        if i % 3 == 0:
            config["status"] = "active"
        elif i % 3 == 1:
            config["status"] = "inactive"
        # else: omit status
        if i % 10 == 0:
            config["extra"] = "extra_field"
        configs.append(config)
    response = AzureUCConfigsResponse(configs=configs)
    api._list_cost_azure_uc_configs_endpoint = DummyEndpoint(response)
    codeflash_output = api.list_cost_azure_uc_configs(); result = codeflash_output # 1.56μs -> 1.52μs (2.96% faster)

def test_large_configs_with_special_characters(api):
    """
    Large Scale: Should handle configs with special characters in large scale.
    """
    configs = [
        {"id": i, "name": f"Config{i}🚀", "status": "active" if i % 2 == 0 else "inactive"}
        for i in range(1000)
    ]
    response = AzureUCConfigsResponse(configs=configs)
    api._list_cost_azure_uc_configs_endpoint = DummyEndpoint(response)
    codeflash_output = api.list_cost_azure_uc_configs(); result = codeflash_output # 1.57μs -> 1.12μs (39.9% faster)

# Edge: Defensive test for None response (should not happen, but test for robustness)
def test_none_response(api):
    """
    Edge: If the endpoint returns None, the function should not crash.
    """
    api._list_cost_azure_uc_configs_endpoint = DummyEndpoint(None)
    codeflash_output = api.list_cost_azure_uc_configs(); result = codeflash_output # 1.76μs -> 1.05μs (67.5% faster)

# Edge: Defensive test for unexpected type (should not happen, but test for robustness)
def test_unexpected_type_response(api):
    """
    Edge: If the endpoint returns an unexpected type, the function should not crash.
    """
    api._list_cost_azure_uc_configs_endpoint = DummyEndpoint("unexpected string")
    codeflash_output = api.list_cost_azure_uc_configs(); result = codeflash_output # 1.47μs -> 1.06μs (38.5% faster)

# Edge: Defensive test for exception propagation
def test_endpoint_raises_exception(api):
    """
    Edge: If the endpoint raises an exception, it should propagate.
    """
    class ExceptionEndpoint:
        def call_with_http_info(self, **kwargs):
            raise RuntimeError("Simulated endpoint error")
    api._list_cost_azure_uc_configs_endpoint = ExceptionEndpoint()
    with pytest.raises(RuntimeError, match="Simulated endpoint error"):
        api.list_cost_azure_uc_configs() # 2.70μs -> 2.45μs (10.2% faster)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
from src.datadog_api_client.v2.api.cloud_cost_management_api import CloudCostManagementApi
import pytest

def test_CloudCostManagementApi_list_cost_azure_uc_configs():
    with pytest.raises(AttributeError, match="'SymbolicInt'\\ object\\ has\\ no\\ attribute\\ 'configuration'"):
        CloudCostManagementApi.list_cost_azure_uc_configs(CloudCostManagementApi(api_client=0))

🔎 Concolic Coverage Tests and Runtime

To edit these changes git checkout codeflash/optimize-CloudCostManagementApi.list_cost_azure_uc_configs-mgauuqyj and push.