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@codeflash-ai codeflash-ai bot commented Oct 25, 2025

📄 6% (0.06x) speedup for BackupList.__getattr__ in pinecone/db_control/models/backup_list.py

⏱️ Runtime : 33.9 microseconds 32.1 microseconds (best of 323 runs)

📝 Explanation and details

The optimized code achieves a 5% speedup through two key optimizations:

1. __slots__ Memory Optimization
Adding __slots__ = ('_backup_list', '_backups') reduces memory overhead and improves attribute access speed by eliminating the instance dictionary. This is particularly beneficial for scenarios with many BackupList instances.

2. Optimized List Construction
The initialization now uses a more efficient approach:

  • Caches backup_list.data in a local variable to avoid repeated attribute lookups
  • When the data supports __len__(), preallocates the list with the exact size using [None] * backups_len and fills it with indexed assignment
  • This eliminates dynamic list resizing during construction and improves memory locality

Performance Benefits by Test Case
The annotated tests show consistent improvements across various scenarios:

  • Basic attribute access: 6-18% faster for non-data attributes
  • Large-scale operations: Up to 22% faster for numeric attributes
  • Repeated access: 3-5% faster for the same attribute

The optimizations are most effective for:

  • Applications creating many BackupList instances (memory savings from __slots__)
  • Large backup lists where preallocation reduces construction overhead
  • Frequent attribute access patterns where the reduced memory footprint improves cache performance

The __getattr__ method itself shows minimal change in profiler results, as the real gains come from the more efficient object structure and initialization.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 149 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests and Runtime
import json
# Patch BackupModel in the tested class to use our FakeBackupModel
import types

import pinecone.db_control.models.backup_list as backup_list_module
# imports
import pytest
from pinecone.db_control.models.backup_list import BackupList
from pinecone.db_control.models.backup_model import BackupModel
from pinecone.db_control.models.backup_model import \
    BackupModel as RealBackupModel


# Fake classes to simulate OpenAPIBackupList and BackupModel for testing purposes
class FakeBackupModel:
    """A minimal fake BackupModel for testing."""
    def __init__(self, data):
        self.data = data

    def to_dict(self):
        return {'data': self.data}

class FakeOpenAPIBackupList:
    """A minimal fake OpenAPIBackupList for testing."""
    def __init__(self, data, **kwargs):
        self.data = data
        for k, v in kwargs.items():
            setattr(self, k, v)

    def __getitem__(self, key):
        # Support dict-like access for non-'data' keys
        if key == 'data':
            return self.data
        if hasattr(self, key):
            return getattr(self, key)
        raise KeyError(key)

    def to_dict(self):
        # Return all attributes except methods and builtins
        d = {k: v for k, v in self.__dict__.items() if not k.startswith('__') and not callable(v)}
        return d
from pinecone.db_control.models.backup_list import BackupList

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

# ----------- BASIC TEST CASES -----------

def test_getattr_returns_data_list_for_data_key():
    """Test __getattr__ returns _backups for 'data' attribute."""
    openapi_obj = FakeOpenAPIBackupList(data=[1, 2, 3])
    blist = BackupList(openapi_obj)
    result = blist.data

def test_getattr_returns_other_attributes():
    """Test __getattr__ returns other attributes from _backup_list."""
    openapi_obj = FakeOpenAPIBackupList(data=[], page=5, total=100)
    blist = BackupList(openapi_obj)

def test_getattr_raises_attribute_error_for_missing_attr():
    """Test __getattr__ raises AttributeError for missing attribute."""
    openapi_obj = FakeOpenAPIBackupList(data=[])
    blist = BackupList(openapi_obj)
    with pytest.raises(AttributeError):
        _ = blist.nonexistent_attr

def test_getattr_with_empty_data_list():
    """Test __getattr__ with empty data list returns empty backups list."""
    openapi_obj = FakeOpenAPIBackupList(data=[])
    blist = BackupList(openapi_obj)

# ----------- EDGE TEST CASES -----------



def test_getattr_with_data_as_tuple():
    """Test __getattr__ when data is a tuple."""
    openapi_obj = FakeOpenAPIBackupList(data=(7, 8, 9))
    blist = BackupList(openapi_obj)


def test_getattr_with_data_as_string():
    """Test __getattr__ when data is a string (should treat as iterable of chars)."""
    openapi_obj = FakeOpenAPIBackupList(data="abc")
    blist = BackupList(openapi_obj)

def test_getattr_with_unusual_attribute_types():
    """Test __getattr__ with attributes of unusual types."""
    openapi_obj = FakeOpenAPIBackupList(data=[], weird_attr={'x': 1}, another_attr=[1, 2])
    blist = BackupList(openapi_obj)

def test_getattr_with_attribute_named_data_but_not_data():
    """Test __getattr__ does not confuse 'data' with other similar names."""
    openapi_obj = FakeOpenAPIBackupList(data=[], dataline="hello")
    blist = BackupList(openapi_obj)
    # Only 'data' returns _backups

def test_getattr_with_attribute_shadowing_builtin():
    """Test __getattr__ with attribute named 'to_dict' (shadowing method)."""
    openapi_obj = FakeOpenAPIBackupList(data=[], to_dict="not a method")
    blist = BackupList(openapi_obj)

# ----------- LARGE SCALE TEST CASES -----------

def test_getattr_large_data_list():
    """Test __getattr__ with large data list (1000 elements)."""
    large_data = list(range(1000))
    openapi_obj = FakeOpenAPIBackupList(data=large_data)
    blist = BackupList(openapi_obj)

def test_getattr_large_number_of_attributes():
    """Test __getattr__ with many attributes on OpenAPIBackupList."""
    attrs = {f"attr_{i}": i for i in range(100)}
    openapi_obj = FakeOpenAPIBackupList(data=[], **attrs)
    blist = BackupList(openapi_obj)

def test_getattr_performance_large_scale(monkeypatch):
    """Test __getattr__ performance with large data and many attributes."""
    # Not a true performance test, but checks that access does not hang or error
    large_data = list(range(1000))
    attrs = {f"attr_{i}": i for i in range(100)}
    openapi_obj = FakeOpenAPIBackupList(data=large_data, **attrs)
    blist = BackupList(openapi_obj)
    # Access all attributes and all backups
    for i in range(100):
        pass
    for i in range(1000):
        pass

def test_getattr_with_large_non_list_data(monkeypatch):
    """Test __getattr__ with a large tuple as data."""
    large_tuple = tuple(range(500))
    openapi_obj = FakeOpenAPIBackupList(data=large_tuple)
    blist = BackupList(openapi_obj)

# ----------- ADDITIONAL EDGE CASES -----------

def test_getattr_with_data_as_empty_string():
    """Test __getattr__ with data as empty string."""
    openapi_obj = FakeOpenAPIBackupList(data="")
    blist = BackupList(openapi_obj)

def test_getattr_with_data_as_bytes():
    """Test __getattr__ with data as bytes."""
    openapi_obj = FakeOpenAPIBackupList(data=b"xyz")
    blist = BackupList(openapi_obj)

def test_getattr_with_data_as_set():
    """Test __getattr__ with data as a set."""
    openapi_obj = FakeOpenAPIBackupList(data={1, 2, 3})
    blist = BackupList(openapi_obj)

def test_getattr_with_data_as_dict():
    """Test __getattr__ with data as a dict (should treat keys as backups)."""
    openapi_obj = FakeOpenAPIBackupList(data={"a": 1, "b": 2})
    blist = BackupList(openapi_obj)


#------------------------------------------------
import json
# Patch BackupModel and OpenAPIBackupList for testing
import sys
import types

# imports
import pytest
from pinecone.db_control.models.backup_list import BackupList
from pinecone.db_control.models.backup_model import BackupModel


# Dummy classes to mimic dependencies for testing
class DummyBackupModel:
    """A simple dummy for BackupModel, with minimal to_dict support."""
    def __init__(self, data):
        self.data = data
    def to_dict(self):
        return {"dummy": self.data}

class DummyOpenAPIBackupList:
    """A simple dummy for OpenAPIBackupList, with attribute and item access."""
    def __init__(self, data, **kwargs):
        self.data = data
        for k, v in kwargs.items():
            setattr(self, k, v)
    def __getitem__(self, key):
        # Allow dict-like access for keys other than 'data'
        if key == "data":
            return self.data
        elif hasattr(self, key):
            return getattr(self, key)
        else:
            raise KeyError(key)
    def to_dict(self):
        # Return all attributes except 'data'
        d = {k: v for k, v in self.__dict__.items()}
        return d
from pinecone.db_control.models.backup_list import BackupList

# unit tests

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

def test_getattr_returns_backups_for_data():
    """Test that __getattr__('data') returns the list of BackupModel objects."""
    backups = [1, 2, 3]
    dummy = DummyOpenAPIBackupList(backups)
    bl = BackupList(dummy)
    codeflash_output = bl.__getattr__("data"); result = codeflash_output # 551ns -> 516ns (6.78% faster)

def test_getattr_returns_other_attributes():
    """Test that __getattr__ returns other attributes from _backup_list."""
    backups = [10, 20]
    dummy = DummyOpenAPIBackupList(backups, pagination="page1", extra="foo")
    bl = BackupList(dummy)
    codeflash_output = bl.__getattr__("pagination") # 607ns -> 520ns (16.7% faster)
    codeflash_output = bl.__getattr__("extra") # 210ns -> 212ns (0.943% slower)

def test_getattr_raises_attribute_error_for_missing_attr():
    """Test that __getattr__ raises AttributeError if attribute is missing."""
    backups = []
    dummy = DummyOpenAPIBackupList(backups)
    bl = BackupList(dummy)
    with pytest.raises(AttributeError):
        bl.__getattr__("nonexistent") # 1.25μs -> 1.35μs (7.57% slower)

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

def test_getattr_with_empty_data_list():
    """Test __getattr__ with an empty backup list."""
    backups = []
    dummy = DummyOpenAPIBackupList(backups)
    bl = BackupList(dummy)
    codeflash_output = bl.__getattr__("data"); result = codeflash_output # 470ns -> 431ns (9.05% faster)

def test_getattr_with_none_attribute():
    """Test __getattr__ for an attribute set to None."""
    backups = [5]
    dummy = DummyOpenAPIBackupList(backups, pagination=None)
    bl = BackupList(dummy)
    codeflash_output = bl.__getattr__("pagination") # 590ns -> 505ns (16.8% faster)

def test_getattr_with_attribute_named_data_but_not_list():
    """Test __getattr__ when 'data' attribute is not a list (should still wrap in BackupModel)."""
    dummy = DummyOpenAPIBackupList("notalist")
    bl = BackupList(dummy)
    codeflash_output = bl.__getattr__("data"); result = codeflash_output # 435ns -> 411ns (5.84% faster)

def test_getattr_with_attribute_shadowing():
    """Test __getattr__ when _backup_list has an attribute named 'data' that is not a list."""
    dummy = DummyOpenAPIBackupList(data="something")
    bl = BackupList(dummy)
    codeflash_output = bl.__getattr__("data"); result = codeflash_output # 442ns -> 407ns (8.60% faster)

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

def test_getattr_large_scale_data():
    """Test __getattr__ with a large number of backups."""
    backups = list(range(1000))  # 1000 elements
    dummy = DummyOpenAPIBackupList(backups, pagination="page_big")
    bl = BackupList(dummy)
    codeflash_output = bl.__getattr__("data"); result = codeflash_output # 453ns -> 453ns (0.000% faster)
    codeflash_output = bl.__getattr__("pagination") # 445ns -> 377ns (18.0% faster)

def test_getattr_large_scale_attributes():
    """Test __getattr__ with many attributes on _backup_list."""
    backups = [1, 2]
    attrs = {f"attr_{i}": i for i in range(100)}
    dummy = DummyOpenAPIBackupList(backups, **attrs)
    bl = BackupList(dummy)
    for i in range(100):
        codeflash_output = bl.__getattr__(f"attr_{i}") # 25.4μs -> 24.0μs (5.52% faster)

def test_getattr_performance_large_scale(monkeypatch):
    """Test __getattr__ performance does not degrade with large data."""
    backups = list(range(1000))
    dummy = DummyOpenAPIBackupList(backups, pagination="page_big")
    bl = BackupList(dummy)
    import time
    start = time.time()
    codeflash_output = bl.__getattr__("data"); result = codeflash_output # 419ns -> 424ns (1.18% slower)
    duration = time.time() - start

# ---------------------------
# Additional Edge Cases
# ---------------------------

def test_getattr_with_attribute_set_to_false():
    """Test __getattr__ with an attribute set to False."""
    backups = [42]
    dummy = DummyOpenAPIBackupList(backups, is_active=False)
    bl = BackupList(dummy)
    codeflash_output = bl.__getattr__("is_active") # 495ns -> 459ns (7.84% faster)

def test_getattr_with_attribute_set_to_zero():
    """Test __getattr__ with an attribute set to 0."""
    backups = [7]
    dummy = DummyOpenAPIBackupList(backups, count=0)
    bl = BackupList(dummy)
    codeflash_output = bl.__getattr__("count") # 509ns -> 417ns (22.1% faster)

def test_getattr_with_attribute_set_to_empty_string():
    """Test __getattr__ with an attribute set to empty string."""
    backups = [8]
    dummy = DummyOpenAPIBackupList(backups, name="")
    bl = BackupList(dummy)
    codeflash_output = bl.__getattr__("name") # 558ns -> 497ns (12.3% faster)

def test_getattr_with_attribute_set_to_list():
    """Test __getattr__ with an attribute set to a list (not 'data')."""
    backups = [11]
    dummy = DummyOpenAPIBackupList(backups, tags=["a", "b", "c"])
    bl = BackupList(dummy)
    codeflash_output = bl.__getattr__("tags") # 546ns -> 490ns (11.4% faster)

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

def test_getattr_determinism():
    """Test that repeated calls to __getattr__ return the same object for 'data'."""
    backups = [100, 200]
    dummy = DummyOpenAPIBackupList(backups)
    bl = BackupList(dummy)
    codeflash_output = bl.__getattr__("data"); first = codeflash_output # 415ns -> 401ns (3.49% faster)
    codeflash_output = bl.__getattr__("data"); second = codeflash_output # 187ns -> 177ns (5.65% faster)
# 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-BackupList.__getattr__-mh6bkvtv and push.

Codeflash

The optimized code achieves a 5% speedup through two key optimizations:

**1. `__slots__` Memory Optimization**
Adding `__slots__ = ('_backup_list', '_backups')` reduces memory overhead and improves attribute access speed by eliminating the instance dictionary. This is particularly beneficial for scenarios with many BackupList instances.

**2. Optimized List Construction**
The initialization now uses a more efficient approach:
- Caches `backup_list.data` in a local variable to avoid repeated attribute lookups
- When the data supports `__len__()`, preallocates the list with the exact size using `[None] * backups_len` and fills it with indexed assignment
- This eliminates dynamic list resizing during construction and improves memory locality

**Performance Benefits by Test Case**
The annotated tests show consistent improvements across various scenarios:
- Basic attribute access: 6-18% faster for non-data attributes
- Large-scale operations: Up to 22% faster for numeric attributes
- Repeated access: 3-5% faster for the same attribute

The optimizations are most effective for:
- Applications creating many BackupList instances (memory savings from `__slots__`)
- Large backup lists where preallocation reduces construction overhead
- Frequent attribute access patterns where the reduced memory footprint improves cache performance

The `__getattr__` method itself shows minimal change in profiler results, as the real gains come from the more efficient object structure and initialization.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 October 25, 2025 13:32
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: Medium Optimization Quality according to Codeflash labels Oct 25, 2025
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