⚡️ Speed up method CollectionGetEvent.batch by 7%

[codeflash-ai]

📄 7% (0.07x) speedup for CollectionGetEvent.batch in chromadb/telemetry/product/events.py

⏱️ Runtime : 4.74 milliseconds → 4.42 milliseconds (best of 96 runs)

📝 Explanation and details

The optimized code achieves a 7% speedup through three key micro-optimizations:

1. Eliminated redundant attribute assignment in __init__: The original code called super().__init__() then assigned self.batch_size = batch_size. The optimized version passes batch_size directly to the parent constructor super().__init__(batch_size), avoiding the redundant assignment since the parent already sets this attribute.

2. Simplified boolean comparison: Changed if not self.batch_key == other.batch_key: to if self.batch_key != other.batch_key:. This eliminates the not operator overhead and uses direct inequality comparison, which is marginally faster in Python.

3. Reduced attribute lookups: The original code accessed other.ids_count, other.include_metadata, etc. multiple times through the cast object. The optimized version assigns other_evt = cast(CollectionGetEvent, other) once and reuses this variable, reducing repeated attribute access overhead.

Performance impact: The line profiler shows the batch method's total time reduced from 19.5ms to 18.6ms. The test results demonstrate consistent 7-17% speedups across various scenarios, with the largest gains (10-17%) occurring in cases with larger batch sizes or repeated batching operations, where the reduced attribute lookups compound the benefits.

These optimizations are particularly effective for high-frequency telemetry event processing where the batch method may be called thousands of times.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 9885 Passed
⏪ Replay Tests	🔘 None Found
🔎 Concolic Coverage Tests	✅ 6 Passed
📊 Tests Coverage	100.0%

🌀 Generated Regression Tests and Runtime

from typing import ClassVar, cast

# imports
import pytest
from chromadb.telemetry.product.events import CollectionGetEvent


class ProductTelemetryEvent:
    max_batch_size: ClassVar[int] = 1
    batch_size: int

    def __init__(self, batch_size: int = 1):
        self.batch_size = batch_size

    @property
    def batch_key(self):
        # For the purpose of testing, we assume batch_key is a tuple of all attributes except batch_size and ids_count
        # This is necessary since the original code references self.batch_key but does not define it.
        # In production, batch_key would be defined in the actual class.
        attrs = []
        for attr in dir(self):
            if attr.startswith("_") or attr in ("batch_size", "ids_count", "batch_key"):
                continue
            try:
                value = getattr(self, attr)
                # Only include simple types
                if isinstance(value, (str, int, float, bool)):
                    attrs.append((attr, value))
            except Exception:
                pass
        return tuple(sorted(attrs))
from chromadb.telemetry.product.events import CollectionGetEvent

# unit tests

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

def test_batch_basic_sum_fields():
    # Test that batch correctly sums all relevant fields
    e1 = CollectionGetEvent("uuid1", 2, 10, 1, 2, 3, batch_size=1)
    e2 = CollectionGetEvent("uuid1", 3, 10, 4, 5, 6, batch_size=2)
    codeflash_output = e1.batch(e2); batched = codeflash_output # 3.45μs -> 3.13μs (10.3% faster)

def test_batch_basic_batch_key_must_match():
    # Test that batch raises ValueError if batch_key does not match
    e1 = CollectionGetEvent("uuid1", 1, 10, 1, 2, 3, batch_size=1)
    e2 = CollectionGetEvent("uuid2", 1, 10, 1, 2, 3, batch_size=1)  # Different collection_uuid
    with pytest.raises(ValueError):
        e1.batch(e2) # 2.21μs -> 2.22μs (0.315% slower)

def test_batch_basic_batch_size_default():
    # Test that batch_size defaults to 1 if not provided
    e1 = CollectionGetEvent("uuid1", 1, 10, 1, 2, 3)
    e2 = CollectionGetEvent("uuid1", 1, 10, 1, 2, 3)
    codeflash_output = e1.batch(e2); batched = codeflash_output # 3.71μs -> 3.34μs (11.2% faster)

def test_batch_basic_zero_values():
    # Test batching with zero values in all fields
    e1 = CollectionGetEvent("uuid1", 0, 0, 0, 0, 0, batch_size=0)
    e2 = CollectionGetEvent("uuid1", 0, 0, 0, 0, 0, batch_size=0)
    codeflash_output = e1.batch(e2); batched = codeflash_output # 3.69μs -> 3.37μs (9.81% faster)

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

def test_batch_edge_negative_values():
    # Test batching with negative values
    e1 = CollectionGetEvent("uuid1", -1, -10, -1, -2, -3, batch_size=-1)
    e2 = CollectionGetEvent("uuid1", -2, -10, -4, -5, -6, batch_size=-2)
    codeflash_output = e1.batch(e2); batched = codeflash_output # 3.71μs -> 3.44μs (7.58% faster)

def test_batch_edge_different_limit():
    # Test that batch raises ValueError if limit does not match
    e1 = CollectionGetEvent("uuid1", 1, 10, 1, 2, 3, batch_size=1)
    e2 = CollectionGetEvent("uuid1", 1, 20, 1, 2, 3, batch_size=1)  # Different limit
    with pytest.raises(ValueError):
        e1.batch(e2) # 2.24μs -> 2.30μs (2.91% slower)

def test_batch_edge_different_include_metadata():
    # Test batch_key includes include_metadata, so different include_metadata should allow batching
    # But in our batch_key implementation, include_metadata is included, so batching should fail
    e1 = CollectionGetEvent("uuid1", 1, 10, 1, 2, 3, batch_size=1)
    e2 = CollectionGetEvent("uuid1", 1, 10, 2, 2, 3, batch_size=1)  # Different include_metadata
    with pytest.raises(ValueError):
        e1.batch(e2)


def test_batch_edge_large_batch_size():
    # Test batching up to max_batch_size
    e1 = CollectionGetEvent("uuid1", 1, 10, 1, 2, 3, batch_size=299)
    e2 = CollectionGetEvent("uuid1", 1, 10, 1, 2, 3, batch_size=1)
    codeflash_output = e1.batch(e2); batched = codeflash_output # 4.90μs -> 4.30μs (13.9% faster)

def test_batch_edge_batch_size_exceeds_max():
    # Test that batch_size can exceed max_batch_size (no enforcement in code)
    e1 = CollectionGetEvent("uuid1", 1, 10, 1, 2, 3, batch_size=300)
    e2 = CollectionGetEvent("uuid1", 1, 10, 1, 2, 3, batch_size=1)
    codeflash_output = e1.batch(e2); batched = codeflash_output # 3.96μs -> 3.38μs (17.3% faster)

def test_batch_edge_casting_to_wrong_type():
    # Test that batching with a non-CollectionGetEvent raises AttributeError
    class Dummy(ProductTelemetryEvent):
        def __init__(self):
            super().__init__()
            self.collection_uuid = "uuid1"
            self.ids_count = 1
            self.limit = 10
            self.include_metadata = 1
            self.include_documents = 2
            self.include_uris = 3

        @property
        def batch_key(self):
            return CollectionGetEvent("uuid1", 1, 10, 1, 2, 3).batch_key

    dummy = Dummy()
    e1 = CollectionGetEvent("uuid1", 1, 10, 1, 2, 3)
    # Should fail when trying to access Dummy's attributes as CollectionGetEvent
    with pytest.raises(AttributeError):
        e1.batch(dummy)

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

def test_batch_large_scale_many_batches():
    # Test batching many events together in sequence
    base = CollectionGetEvent("uuid1", 1, 10, 1, 1, 1, batch_size=1)
    total_ids = base.ids_count
    total_metadata = base.include_metadata
    total_documents = base.include_documents
    total_uris = base.include_uris
    total_batch_size = base.batch_size
    # Generate 999 more events
    for _ in range(999):
        next_event = CollectionGetEvent("uuid1", 1, 10, 1, 1, 1, batch_size=1)
        codeflash_output = base.batch(next_event); base = codeflash_output # 1.50ms -> 1.39ms (7.85% faster)
        total_ids += 1
        total_metadata += 1
        total_documents += 1
        total_uris += 1
        total_batch_size += 1

def test_batch_large_scale_max_batch_size():
    # Test batching up to exactly max_batch_size
    events = [
        CollectionGetEvent("uuid1", 1, 10, 1, 1, 1, batch_size=1)
        for _ in range(CollectionGetEvent.max_batch_size)
    ]
    result = events[0]
    for e in events[1:]:
        codeflash_output = result.batch(e); result = codeflash_output # 450μs -> 421μs (7.06% faster)

def test_batch_large_scale_different_fields():
    # Test batching fails if any field differs in a large batch
    events = [
        CollectionGetEvent("uuid1", 1, 10, 1, 1, 1, batch_size=1)
        for _ in range(999)
    ]
    # Change one event's limit
    events[500] = CollectionGetEvent("uuid1", 1, 11, 1, 1, 1, batch_size=1)
    result = events[0]
    with pytest.raises(ValueError):
        for e in events[1:]:
            codeflash_output = result.batch(e); result = codeflash_output

def test_batch_large_scale_empty_batch():
    # Test batching with zero events (should not be possible, but test for robustness)
    # No batching should occur, so nothing to assert
    pass  # No events to batch

def test_batch_large_scale_batch_size_overflow():
    # Test batching causes batch_size to overflow max_batch_size (no enforcement in code)
    e1 = CollectionGetEvent("uuid1", 1, 10, 1, 1, 1, batch_size=999)
    e2 = CollectionGetEvent("uuid1", 1, 10, 1, 1, 1, batch_size=999)
    codeflash_output = e1.batch(e2); batched = codeflash_output # 3.91μs -> 3.62μs (8.09% faster)

def test_batch_large_scale_ids_count_overflow():
    # Test batching causes ids_count to overflow 1000 (no enforcement in code)
    e1 = CollectionGetEvent("uuid1", 999, 10, 1, 1, 1, batch_size=1)
    e2 = CollectionGetEvent("uuid1", 999, 10, 1, 1, 1, batch_size=1)
    codeflash_output = e1.batch(e2); batched = codeflash_output # 3.65μs -> 3.32μs (9.95% faster)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
from typing import ClassVar, cast

# imports
import pytest
from chromadb.telemetry.product.events import CollectionGetEvent


class ProductTelemetryEvent:
    max_batch_size: ClassVar[int] = 1
    batch_size: int

    def __init__(self, batch_size: int = 1):
        self.batch_size = batch_size

    @property
    def batch_key(self):
        # For testing, batch_key is always None in base class
        return None
from chromadb.telemetry.product.events import CollectionGetEvent

# unit tests

# 1. Basic Test Cases

def test_batch_basic_addition():
    # Test that batch correctly sums all relevant fields
    event1 = CollectionGetEvent(
        collection_uuid="abc",
        ids_count=2,
        limit=10,
        include_metadata=1,
        include_documents=2,
        include_uris=3,
        batch_size=5
    )
    event2 = CollectionGetEvent(
        collection_uuid="abc",
        ids_count=3,
        limit=10,
        include_metadata=4,
        include_documents=5,
        include_uris=6,
        batch_size=7
    )
    codeflash_output = event1.batch(event2); batched = codeflash_output # 4.04μs -> 3.88μs (4.07% faster)

def test_batch_basic_zero_values():
    # Test batching when one event has zero values
    event1 = CollectionGetEvent("xyz", 0, 20, 0, 0, 0, 0)
    event2 = CollectionGetEvent("xyz", 5, 20, 2, 3, 4, 1)
    codeflash_output = event1.batch(event2); batched = codeflash_output # 4.00μs -> 3.55μs (12.7% faster)

def test_batch_basic_negative_values():
    # Test batching with negative values
    event1 = CollectionGetEvent("neg", -3, 5, -1, -2, -3, 2)
    event2 = CollectionGetEvent("neg", 4, 5, 2, 3, 4, 3)
    codeflash_output = event1.batch(event2); batched = codeflash_output # 3.88μs -> 3.48μs (11.7% faster)

def test_batch_basic_batch_size_default():
    # Test batching with default batch_size
    event1 = CollectionGetEvent("default", 1, 1, 1, 1, 1)
    event2 = CollectionGetEvent("default", 2, 1, 2, 2, 2)
    codeflash_output = event1.batch(event2); batched = codeflash_output # 3.63μs -> 3.23μs (12.5% faster)

# 2. Edge Test Cases

def test_batch_edge_different_collection_uuid():
    # Should raise ValueError if collection_uuid is different
    event1 = CollectionGetEvent("abc", 1, 10, 1, 1, 1)
    event2 = CollectionGetEvent("def", 1, 10, 1, 1, 1)
    with pytest.raises(ValueError, match="Cannot batch events"):
        event1.batch(event2) # 2.34μs -> 2.34μs (0.085% faster)

def test_batch_edge_different_limit():
    # Should raise ValueError if limit is different
    event1 = CollectionGetEvent("abc", 1, 10, 1, 1, 1)
    event2 = CollectionGetEvent("abc", 1, 20, 1, 1, 1)
    with pytest.raises(ValueError, match="Cannot batch events"):
        event1.batch(event2) # 2.31μs -> 2.25μs (2.35% faster)

def test_batch_edge_batch_with_base_class():
    # Should raise ValueError if batch_key does not match (base class has None)
    event1 = CollectionGetEvent("abc", 1, 10, 1, 1, 1)
    event2 = ProductTelemetryEvent()
    with pytest.raises(ValueError, match="Cannot batch events"):
        event1.batch(event2) # 2.09μs -> 2.15μs (2.56% slower)

def test_batch_edge_large_numbers():
    # Test batching with very large numbers
    large = 10**6
    event1 = CollectionGetEvent("large", large, 100, large, large, large, large)
    event2 = CollectionGetEvent("large", large, 100, large, large, large, large)
    codeflash_output = event1.batch(event2); batched = codeflash_output # 3.92μs -> 3.56μs (10.4% faster)

def test_batch_edge_empty_string_uuid():
    # Test batching with empty string as collection_uuid
    event1 = CollectionGetEvent("", 1, 1, 1, 1, 1)
    event2 = CollectionGetEvent("", 2, 1, 2, 2, 2)
    codeflash_output = event1.batch(event2); batched = codeflash_output # 3.78μs -> 3.32μs (13.9% faster)

def test_batch_edge_zero_batch_size():
    # Test batching with zero batch_size
    event1 = CollectionGetEvent("zero", 1, 1, 1, 1, 1, batch_size=0)
    event2 = CollectionGetEvent("zero", 1, 1, 1, 1, 1, batch_size=0)
    codeflash_output = event1.batch(event2); batched = codeflash_output # 3.66μs -> 3.34μs (9.62% faster)

def test_batch_edge_minimum_values():
    # Test batching with minimum values (all zeros)
    event1 = CollectionGetEvent("min", 0, 0, 0, 0, 0, 0)
    event2 = CollectionGetEvent("min", 0, 0, 0, 0, 0, 0)
    codeflash_output = event1.batch(event2); batched = codeflash_output # 3.74μs -> 3.33μs (12.4% faster)

# 3. Large Scale Test Cases

def test_batch_large_scale_many_events():
    # Test batching many events together by chaining batch
    base = CollectionGetEvent("scale", 1, 100, 1, 1, 1, 1)
    for i in range(2, 1001):  # 1000 events total
        next_event = CollectionGetEvent("scale", 1, 100, 1, 1, 1, 1)
        codeflash_output = base.batch(next_event); base = codeflash_output # 1.50ms -> 1.41ms (6.66% faster)

def test_batch_large_scale_max_batch_size():
    # Test batching up to max_batch_size
    max_size = CollectionGetEvent.max_batch_size
    base = CollectionGetEvent("max", 1, 50, 1, 1, 1, 1)
    for _ in range(1, max_size):
        codeflash_output = base.batch(CollectionGetEvent("max", 1, 50, 1, 1, 1, 1)); base = codeflash_output # 450μs -> 420μs (7.11% faster)

def test_batch_large_scale_different_batch_keys():
    # Test that batching fails when batch_key changes in a large sequence
    base = CollectionGetEvent("scale", 1, 100, 1, 1, 1, 1)
    with pytest.raises(ValueError, match="Cannot batch events"):
        base.batch(CollectionGetEvent("other", 1, 100, 1, 1, 1, 1)) # 2.40μs -> 2.27μs (5.58% faster)

def test_batch_large_scale_performance():
    # Test batching performance for large values (not actual timing, just correctness)
    large = 999
    event1 = CollectionGetEvent("perf", large, large, large, large, large, large)
    event2 = CollectionGetEvent("perf", large, large, large, large, large, large)
    codeflash_output = event1.batch(event2); batched = codeflash_output # 3.50μs -> 3.07μs (14.3% faster)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
from chromadb.telemetry.product.events import CollectionGetEvent
from chromadb.telemetry.product.events import ServerStartEvent
import pytest

def test_CollectionGetEvent_batch():
    CollectionGetEvent.batch(CollectionGetEvent('', 0, 19, 0, 0, 0, batch_size=0), CollectionGetEvent('', 0, 19, 0, 0, 0, batch_size=0))

def test_CollectionGetEvent_batch_2():
    with pytest.raises(ValueError, match='Cannot\\ batch\\ events'):
        CollectionGetEvent.batch(CollectionGetEvent('', 0, 0, 0, 0, 0, batch_size=0), ServerStartEvent())

🔎 Concolic Coverage Tests and Runtime

Test File::Test Function	Original ⏱️	Optimized ⏱️	Speedup
codeflash_concolic_aqrniplu/tmp0dpeem9j/test_concolic_coverage.py::test_CollectionGetEvent_batch	3.94μs	3.50μs	12.6%✅
codeflash_concolic_aqrniplu/tmp0dpeem9j/test_concolic_coverage.py::test_CollectionGetEvent_batch_2	2.55μs	2.29μs	11.4%✅

To edit these changes git checkout codeflash/optimize-CollectionGetEvent.batch-mh1zvn7h and push.