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@codeflash-ai codeflash-ai bot commented Oct 4, 2025

📄 18% (0.18x) speedup for EntityV3DatastoreSpec.additional_properties_type in src/datadog_api_client/v2/model/entity_v3_datastore_spec.py

⏱️ Runtime : 2.35 microseconds 1.98 microsecondss (best of 30 runs)

📝 Explanation and details

The optimized code achieves an 18% speedup through two key micro-optimizations in the __init__ method:

1. Local variable caching for unset: The optimization stores unset as a local variable _unset to avoid repeated global lookups. In Python, local variable access is significantly faster than global/module-level lookups since locals are stored in an array and accessed by index rather than through dictionary lookups.

2. Batched dictionary updates: Instead of performing individual kwargs["key"] = value assignments (which requires separate dictionary hash lookups and insertions), the code collects all assignments in a temporary argmap dictionary and performs a single kwargs.update(argmap) operation. This reduces the number of dictionary operations from potentially 4 separate insertions to 1 batch update.

The optimizations are most effective when multiple parameters are provided (as shown in the test cases), since:

  • The unset lookup savings multiply with each parameter check
  • The batched update becomes more beneficial with more parameters being set
  • The single conditional check if component_of is not _unset or ... can short-circuit early if no parameters are set

These micro-optimizations preserve all original behavior while reducing the overhead of object initialization, which is particularly valuable for data models that may be instantiated frequently in API client scenarios.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 12 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests and Runtime
from types import MappingProxyType

# imports
import pytest  # used for our unit tests
from src.datadog_api_client.v2.model.entity_v3_datastore_spec import \
    EntityV3DatastoreSpec

# 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.


# Minimal stub for OpenApiModel (since it's referenced but not defined)
class OpenApiModel:
    def __init__(self, kwargs):
        self._data_store = dict(kwargs)
        self._check_type = True
        self._spec_property_naming = False
        self._path_to_item = []
        self._configuration = None
        self._unparsed = False
        self.read_only_vars = set()

    def set_attribute(self, name, value):
        self._data_store[name] = value

    def get(self, name):
        return self._data_store[name]

# Minimal stub for cached_property
def cached_property(func):
    return property(func)
from src.datadog_api_client.v2.model.entity_v3_datastore_spec import \
    EntityV3DatastoreSpec

# unit tests

# 1. Basic Test Cases

def test_additional_properties_type_returns_none():
    # Basic test: Should always return None
    spec = EntityV3DatastoreSpec()

def test_additional_properties_type_is_property():
    # Test that additional_properties_type is a property, not a method
    spec = EntityV3DatastoreSpec()
    # Should not be callable
    with pytest.raises(TypeError):
        codeflash_output = spec.additional_properties_type(); _ = codeflash_output # 2.35μs -> 1.98μs (18.4% faster)

def test_additional_properties_type_consistency():
    # Should always return None, even after setting attributes
    spec = EntityV3DatastoreSpec(component_of=["a", "b"], lifecycle="active", tier="high", type="sql")

def test_additional_properties_type_on_multiple_instances():
    # Multiple instances should behave the same
    spec1 = EntityV3DatastoreSpec()
    spec2 = EntityV3DatastoreSpec(component_of=["x"])

# 2. Edge Test Cases


def test_additional_properties_type_with_large_strings():
    # Edge case: large strings
    long_str = "x" * 1000
    spec = EntityV3DatastoreSpec(lifecycle=long_str, tier=long_str)

def test_additional_properties_type_with_special_characters():
    # Edge case: special characters in attributes
    spec = EntityV3DatastoreSpec(lifecycle="!@#$%^&*()", tier="中文", type="🔥")

def test_additional_properties_type_with_none_attributes():
    # Edge case: all attributes set to None
    spec = EntityV3DatastoreSpec(component_of=None, lifecycle=None, tier=None, type=None)


def test_additional_properties_type_on_subclass():
    # Edge case: subclassing should not affect behavior
    class SubSpec(EntityV3DatastoreSpec):
        pass
    subspec = SubSpec()

# 3. Large Scale Test Cases

def test_additional_properties_type_with_large_component_list():
    # Large scale: component_of with 1000 elements
    large_list = [str(i) for i in range(1000)]
    spec = EntityV3DatastoreSpec(component_of=large_list)

def test_additional_properties_type_with_many_instances():
    # Large scale: create many instances and check property
    for i in range(1000):
        spec = EntityV3DatastoreSpec(component_of=[str(i)], lifecycle=str(i), tier=str(i), type=str(i))


def test_additional_properties_type_stress_access():
    # Large scale: access property 1000 times
    spec = EntityV3DatastoreSpec()
    for _ in range(1000):
        pass

def test_additional_properties_type_on_multiple_subclasses():
    # Large scale: 1000 subclasses
    for i in range(1000):
        class SubSpec(EntityV3DatastoreSpec):
            pass
        subspec = SubSpec()
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
import pytest
from src.datadog_api_client.v2.model.entity_v3_datastore_spec import \
    EntityV3DatastoreSpec


# function to test
def additional_properties_type(_):
    """
    Returns the type for additional properties in the model.
    For this model, there are no additional properties allowed, so it returns None.
    """
    return None

# unit tests

# --- Basic Test Cases ---

To edit these changes git checkout codeflash/optimize-EntityV3DatastoreSpec.additional_properties_type-mgcajzdw and push.

Codeflash

The optimized code achieves an 18% speedup through two key micro-optimizations in the `__init__` method:

**1. Local variable caching for `unset`**: The optimization stores `unset` as a local variable `_unset` to avoid repeated global lookups. In Python, local variable access is significantly faster than global/module-level lookups since locals are stored in an array and accessed by index rather than through dictionary lookups.

**2. Batched dictionary updates**: Instead of performing individual `kwargs["key"] = value` assignments (which requires separate dictionary hash lookups and insertions), the code collects all assignments in a temporary `argmap` dictionary and performs a single `kwargs.update(argmap)` operation. This reduces the number of dictionary operations from potentially 4 separate insertions to 1 batch update.

The optimizations are most effective when multiple parameters are provided (as shown in the test cases), since:
- The `unset` lookup savings multiply with each parameter check
- The batched update becomes more beneficial with more parameters being set
- The single conditional check `if component_of is not _unset or ...` can short-circuit early if no parameters are set

These micro-optimizations preserve all original behavior while reducing the overhead of object initialization, which is particularly valuable for data models that may be instantiated frequently in API client scenarios.
@codeflash-ai codeflash-ai bot requested a review from aseembits93 October 4, 2025 13:10
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Oct 4, 2025
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