Minimize nested conditional statements and complex control flow by using early returns, guard clauses, and default value patterns. This improves code readability and maintainability by reducing cognitive load.

Use the or operator for default values instead of conditional checks:

# Instead of:
if modules_to_serialize is not None:
    # process modules_to_serialize
else:
    modules_to_serialize = []

# Use:
modules_to_serialize = modules_to_serialize or []

Restructure conditional logic to reduce nesting:

# Instead of:
result = dict(usage_entry2)
for k, v in usage_entry1.items():
    if isinstance(v, dict):
        if k in result:
            result[k] = self._merge_usage_entries(result[k], v)
        else:
            result[k] = dict(v) if isinstance(v, dict) else v
    else:
        result[k] = result[k] or 0
        result[k] += v if v else 0

# Use:
result = dict(usage_entry2)
for k, v in usage_entry1.items():
    current_v = result.get(k)
    if isinstance(v, dict):
        result[k] = self._merge_usage_entries(current_v, v)
    else:
        result[k] = current_v or 0
        result[k] += v if v else 0

For functions with many parameters, use multi-line formatting:

# Instead of:
def __call__(self, lm: LM, lm_kwargs: dict[str, Any], signature: Type[Signature], demos: list[dict[str, Any]], inputs: dict[str, Any]) -> list[dict[str, Any]]:

# Use:
def __call__(
    self,
    lm: LM,
    lm_kwargs: dict[str, Any],
    signature: Type[Signature],
    demos: list[dict[str, Any]],
    inputs: dict[str, Any]
) -> list[dict[str, Any]]: