⚡️ Speed up method WandbIntegrationOut.serialize_model by 35%

[codeflash-ai]

📄 35% (0.35x) speedup for WandbIntegrationOut.serialize_model in src/mistralai/models/wandbintegrationout.py

⏱️ Runtime : 3.17 milliseconds → 2.35 milliseconds (best of 134 runs)

📝 Explanation and details

The optimized code achieves a 35% speedup through several key micro-optimizations that reduce overhead in the serialization loop:

What was optimized:

1. Container lookups: Converted optional_fields and nullable_fields from lists to sets (optional_fields_set, nullable_fields_set) for O(1) membership testing instead of O(n)

2. Attribute access: Cached type(self).model_fields and self.__pydantic_fields_set__ as local variables to avoid repeated attribute lookups in the loop

3. Set operations: Replaced self.__pydantic_fields_set__.intersection({n}) with direct membership test n in fields_set - intersection with single-element sets is unnecessarily expensive

4. Dead code removal: Eliminated unused null_default_fields (always empty) and unnecessary serialized.pop(k, None) operation

Why it's faster:

• Set membership (in operator) on small sets is much faster than list membership for repeated lookups
• Local variable access is faster than attribute access in Python's bytecode execution
• Direct membership testing avoids creating temporary single-element sets for intersection operations
• Fewer dictionary operations by removing the unused pop() call

Performance characteristics:

The optimization shows consistent 25-48% improvements across test cases, with particularly strong gains on:

• Cases with multiple optional fields (43-48% faster)
• Large-scale operations (36% faster on 1000 iterations)
• Models with various field configurations (27-40% faster)

This is especially beneficial for high-throughput serialization scenarios where the method is called frequently.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 2024 Passed
⏪ Replay Tests	🔘 None Found
🔎 Concolic Coverage Tests	🔘 None Found
📊 Tests Coverage	100.0%

🌀 Generated Regression Tests and Runtime

from typing import Literal, Optional

# imports
import pytest
from mistralai.models.wandbintegrationout import WandbIntegrationOut

UNSET_SENTINEL = object()
UNSET = UNSET_SENTINEL

# OptionalNullable: like Optional, but distinguishes between UNSET, None, and value
class OptionalNullable:
    def __init__(self, value=UNSET_SENTINEL):
        self.value = value

    def __eq__(self, other):
        if isinstance(other, OptionalNullable):
            return self.value == other.value
        return self.value == other

    def __repr__(self):
        return f"OptionalNullable({self.value!r})"

# Minimal BaseModel with Pydantic-like behavior
class BaseModel:
    model_fields = {}

    def __init__(self, **kwargs):
        self.__pydantic_fields_set__ = set(kwargs.keys())
        for k, v in kwargs.items():
            setattr(self, k, v)

    def dict(self):
        # Simulate Pydantic's dict() for serialization
        result = {}
        for n, f in type(self).model_fields.items():
            val = getattr(self, n, UNSET_SENTINEL)
            if isinstance(val, OptionalNullable):
                result[n] = val.value
            else:
                result[n] = val
        return result

# Dummy decorator for model_serializer
def model_serializer(mode=None):
    def decorator(fn):
        return fn
    return decorator

# --- The function/class under test ---


WandbIntegrationOutType = Literal["wandb"]
from mistralai.models.wandbintegrationout import WandbIntegrationOut

# --- Helper: handler function to simulate Pydantic serialization ---

def default_handler(obj):
    # Simulates Pydantic's serialization: .dict()
    return obj.dict()

# --- Unit tests ---

# 1. Basic Test Cases

def test_serialize_model_minimal_required():
    """Basic: Only required field 'project' provided, others default."""
    model = WandbIntegrationOut(project="proj1")
    codeflash_output = model.serialize_model(default_handler); result = codeflash_output # 43.9μs -> 39.1μs (12.1% faster)






def test_serialize_model_type_field_none():
    """Edge: 'type' field explicitly set to None (should be included as None)."""
    model = WandbIntegrationOut(
        project="proj6",
        type=None
    )
    codeflash_output = model.serialize_model(default_handler); result = codeflash_output # 42.6μs -> 38.1μs (11.9% faster)



def test_serialize_model_fields_not_in_fields_set():
    """Edge: Fields NOT in __pydantic_fields_set__ (simulate default)."""
    # Simulate by creating and then clearing __pydantic_fields_set__
    model = WandbIntegrationOut(project="proj9")
    model.__pydantic_fields_set__ = set()  # Simulate nothing set
    codeflash_output = model.serialize_model(default_handler); result = codeflash_output # 41.5μs -> 38.0μs (9.28% faster)

# 3. Large Scale Test Cases




#------------------------------------------------
from __future__ import annotations

from typing import Literal, Optional

# imports
import pytest
from mistralai.models.wandbintegrationout import WandbIntegrationOut


# Minimal stubs for external dependencies (since we cannot import mistralai or pydantic here)
class UNSET_SENTINEL_TYPE:
    pass
UNSET_SENTINEL = UNSET_SENTINEL_TYPE()
UNSET = UNSET_SENTINEL

def OptionalNullable(type_):
    # Just a marker for type annotation, not used at runtime
    return Optional[type_]

class BaseModel:
    # Minimal implementation to support the test cases
    def __init__(self, **kwargs):
        self.__dict__.update(kwargs)
        # Track which fields were explicitly set
        self.__pydantic_fields_set__ = set(kwargs.keys())
    @classmethod
    def model_fields(cls):
        # Return a dict of field name to a dummy field object with 'alias'
        # For simplicity, no aliasing in this stub
        return {k: type('F', (), {'alias': None}) for k in cls.__annotations__}

# Dummy decorator
def model_serializer(mode=None):
    def wrapper(fn):
        return fn
    return wrapper

WandbIntegrationOutType = Literal["wandb"]
from mistralai.models.wandbintegrationout import WandbIntegrationOut


# Helper function to simulate handler behavior (returns __dict__ copy)
def default_handler(obj):
    # Only include annotated fields
    return {k: getattr(obj, k) for k in obj.__class__.__annotations__}

# ----------- UNIT TESTS ------------

# Basic Test Cases

def test_serialize_model_basic_project_only():
    # Only required field set
    m = WandbIntegrationOut(project="proj1")
    codeflash_output = m.serialize_model(default_handler); out = codeflash_output # 10.6μs -> 7.76μs (36.2% faster)


def test_serialize_model_some_optional_fields_set():
    # Some optional fields set, some unset
    m = WandbIntegrationOut(
        project="proj3",
        name="runC"
    )
    codeflash_output = m.serialize_model(default_handler); out = codeflash_output # 8.02μs -> 6.28μs (27.7% faster)

def test_serialize_model_none_values():
    # Optional fields explicitly set to None
    m = WandbIntegrationOut(
        project="proj4",
        name=None,
        run_name=None,
        url=None
    )
    codeflash_output = m.serialize_model(default_handler); out = codeflash_output # 7.10μs -> 4.94μs (43.8% faster)

# Edge Test Cases


def test_serialize_model_empty_string():
    # Optional fields set to empty string
    m = WandbIntegrationOut(
        project="proj6",
        name="",
        run_name="",
        url=""
    )
    codeflash_output = m.serialize_model(default_handler); out = codeflash_output # 8.96μs -> 6.04μs (48.3% faster)

def test_serialize_model_type_field_none():
    # Type field explicitly set to None
    m = WandbIntegrationOut(
        project="proj7",
        type=None
    )
    codeflash_output = m.serialize_model(default_handler); out = codeflash_output # 9.23μs -> 6.97μs (32.5% faster)




def test_serialize_model_large_string_fields():
    # Test with very large string values
    big_str = "x" * 1000
    m = WandbIntegrationOut(
        project=big_str,
        name=big_str,
        run_name=big_str,
        url=big_str
    )
    codeflash_output = m.serialize_model(default_handler); out = codeflash_output # 8.81μs -> 6.06μs (45.3% faster)

def test_serialize_model_large_field_set():
    # Test __pydantic_fields_set__ with all fields
    m = WandbIntegrationOut(
        project="projX",
        type="wandb",
        name="n",
        run_name="r",
        url="u"
    )
    codeflash_output = m.serialize_model(default_handler); out = codeflash_output # 6.87μs -> 4.89μs (40.5% faster)

def test_serialize_model_performance():
    # Performance test: serialize 1000 items and ensure it completes quickly
    import time
    start = time.time()
    for i in range(1000):
        m = WandbIntegrationOut(project=f"p{i}")
        codeflash_output = m.serialize_model(default_handler); out = codeflash_output # 2.98ms -> 2.19ms (36.3% faster)
    elapsed = time.time() - start
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

To edit these changes git checkout codeflash/optimize-WandbIntegrationOut.serialize_model-mh4fsfgr and push.