Skip to content

Conversation

@codeflash-ai
Copy link

@codeflash-ai codeflash-ai bot commented Oct 23, 2025

📄 9% (0.09x) speedup for V1SocketClient._is_binary_message in src/deepgram/listen/v1/socket_client.py

⏱️ Runtime : 24.8 microseconds 22.8 microseconds (best of 69 runs)

📝 Explanation and details

The optimization moves the tuple (bytes, bytearray) from being created inline in the isinstance call to a module-level constant _BINARY_TYPES. This eliminates the overhead of tuple creation and garbage collection on every function call.

Key change: Instead of isinstance(message, (bytes, bytearray)), the code now uses isinstance(message, _BINARY_TYPES) where _BINARY_TYPES = (bytes, bytearray) is defined once at module scope.

Why this improves performance: In Python, creating tuples has overhead - each call to isinstance(message, (bytes, bytearray)) must allocate a new tuple object, populate it with the type references, and later garbage collect it. By pre-creating this tuple once at import time, we eliminate this repeated allocation/deallocation cycle.

Test case performance: The optimization shows consistent improvements across all test scenarios, with particularly strong gains (15-28% faster) for non-binary types like strings, numbers, and collections. This suggests the tuple creation overhead is more noticeable when isinstance can quickly determine the type doesn't match, making the tuple allocation the dominant cost. Binary types (bytes/bytearray) show smaller but still meaningful improvements (4-17% faster) since the type checking itself takes more time relative to tuple creation.

The 8% overall speedup demonstrates that even micro-optimizations can provide measurable benefits in frequently-called utility functions like type checking methods.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 39 Passed
⏪ Replay Tests 13 Passed
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests and Runtime
import typing

# imports
import pytest
from deepgram.listen.v1.socket_client import V1SocketClient


class EventEmitterMixin:
    """
    Simple mixin for registering and emitting events.
    """

    def __init__(self) -> None:
        self._callbacks: typing.Dict[str, typing.List[typing.Callable]] = {}

class DummyWebSocket:
    """A minimal dummy websocket for instantiation."""
    def __iter__(self):
        return iter([])
from deepgram.listen.v1.socket_client import V1SocketClient

# unit tests

class TestIsBinaryMessage:
    # Helper: create a client instance
    @pytest.fixture(scope="class")
    def client(self):
        return V1SocketClient(websocket=DummyWebSocket())

    # 1. Basic Test Cases

    def test_bytes_object(self, client):
        # Test with a bytes object (should be binary)
        codeflash_output = client._is_binary_message(b"hello") # 605ns -> 566ns (6.89% faster)

    def test_bytearray_object(self, client):
        # Test with a bytearray object (should be binary)
        codeflash_output = client._is_binary_message(bytearray([1, 2, 3])) # 537ns -> 537ns (0.000% faster)

    def test_str_object(self, client):
        # Test with a string object (should NOT be binary)
        codeflash_output = client._is_binary_message("hello") # 537ns -> 481ns (11.6% faster)

    def test_int_object(self, client):
        # Test with an integer (should NOT be binary)
        codeflash_output = client._is_binary_message(123) # 556ns -> 469ns (18.6% faster)

    def test_float_object(self, client):
        # Test with a float (should NOT be binary)
        codeflash_output = client._is_binary_message(3.14) # 609ns -> 483ns (26.1% faster)

    def test_list_object(self, client):
        # Test with a list (should NOT be binary)
        codeflash_output = client._is_binary_message([1, 2, 3]) # 569ns -> 445ns (27.9% faster)

    def test_dict_object(self, client):
        # Test with a dict (should NOT be binary)
        codeflash_output = client._is_binary_message({"a": 1}) # 531ns -> 487ns (9.03% faster)

    # 2. Edge Test Cases

    def test_empty_bytes(self, client):
        # Test with empty bytes (should be binary)
        codeflash_output = client._is_binary_message(b"") # 493ns -> 438ns (12.6% faster)

    def test_empty_bytearray(self, client):
        # Test with empty bytearray (should be binary)
        codeflash_output = client._is_binary_message(bytearray()) # 478ns -> 430ns (11.2% faster)

    def test_empty_str(self, client):
        # Test with empty string (should NOT be binary)
        codeflash_output = client._is_binary_message("") # 514ns -> 462ns (11.3% faster)

    def test_memoryview_of_bytes(self, client):
        # Test with a memoryview of bytes (should NOT be binary)
        # memoryview is not bytes or bytearray
        codeflash_output = client._is_binary_message(memoryview(b"abc")) # 531ns -> 573ns (7.33% slower)

    def test_subclass_of_bytes(self, client):
        # Subclass of bytes should be considered binary
        class MyBytes(bytes):
            pass
        codeflash_output = client._is_binary_message(MyBytes(b"abc")) # 530ns -> 490ns (8.16% faster)

    def test_subclass_of_bytearray(self, client):
        # Subclass of bytearray should be considered binary
        class MyBytearray(bytearray):
            pass
        codeflash_output = client._is_binary_message(MyBytearray(b"abc")) # 795ns -> 681ns (16.7% faster)

    def test_none_object(self, client):
        # None should NOT be binary
        codeflash_output = client._is_binary_message(None) # 555ns -> 535ns (3.74% faster)

    def test_bool_object(self, client):
        # Boolean should NOT be binary
        codeflash_output = client._is_binary_message(True) # 589ns -> 565ns (4.25% faster)
        codeflash_output = client._is_binary_message(False) # 257ns -> 244ns (5.33% faster)

    def test_tuple_with_bytes(self, client):
        # Tuple containing bytes should NOT be binary
        codeflash_output = client._is_binary_message((b"abc",)) # 628ns -> 544ns (15.4% faster)

    def test_object_with_buffer_protocol(self, client):
        # Custom object with buffer protocol is NOT bytes/bytearray
        class BufferObj:
            def __init__(self):
                self._data = b"abc"
            def __buffer__(self):
                return self._data
        codeflash_output = client._is_binary_message(BufferObj()) # 643ns -> 570ns (12.8% faster)

    # 3. Large Scale Test Cases

    def test_large_bytes(self, client):
        # Large bytes object (should be binary)
        large_bytes = b"a" * 1000  # 1000 bytes
        codeflash_output = client._is_binary_message(large_bytes) # 506ns -> 485ns (4.33% faster)

    def test_large_bytearray(self, client):
        # Large bytearray object (should be binary)
        large_bytearray = bytearray([0] * 1000)
        codeflash_output = client._is_binary_message(large_bytearray) # 536ns -> 471ns (13.8% faster)

    def test_large_str(self, client):
        # Large string object (should NOT be binary)
        large_str = "a" * 1000
        codeflash_output = client._is_binary_message(large_str) # 536ns -> 429ns (24.9% faster)

    def test_list_of_bytes(self, client):
        # List of bytes objects (should NOT be binary)
        data = [b"a"] * 1000
        codeflash_output = client._is_binary_message(data) # 532ns -> 461ns (15.4% faster)

    def test_nested_bytes_in_list(self, client):
        # List containing bytes objects (should NOT be binary)
        data = [b"a", b"b", b"c"]
        codeflash_output = client._is_binary_message(data) # 523ns -> 460ns (13.7% faster)

    def test_large_custom_bytes_subclass(self, client):
        # Large subclass of bytes (should be binary)
        class BigBytes(bytes):
            pass
        big_bytes = BigBytes(b"x" * 1000)
        codeflash_output = client._is_binary_message(big_bytes) # 523ns -> 475ns (10.1% faster)

    def test_large_custom_bytearray_subclass(self, client):
        # Large subclass of bytearray (should be binary)
        class BigBytearray(bytearray):
            pass
        big_bytearray = BigBytearray(b"x" * 1000)
        codeflash_output = client._is_binary_message(big_bytearray) # 743ns -> 660ns (12.6% faster)

    # Additional: Fuzz/randomized type check
    @pytest.mark.parametrize("value", [
        set([1, 2, 3]),
        frozenset([1, 2, 3]),
        object(),
        lambda x: x,
        Exception("err"),
        b"\x00\xFF",
        bytearray([255, 0, 127]),
        "binary\x00string",
        0,
        1.23,
        [],
        {},
        (),
        None,
    ])
    def test_various_types(self, client, value):
        # Only bytes and bytearray (and their subclasses) should be True
        expected = isinstance(value, (bytes, bytearray))
        codeflash_output = client._is_binary_message(value) # 6.18μs -> 5.88μs (5.24% faster)
# 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 deepgram.listen.v1.socket_client import V1SocketClient


# function to test
def _is_binary_message(message):
    """Determine if a message is binary data."""
    return isinstance(message, (bytes, bytearray))

# unit tests

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


























def test_large_bytearray_subclass():
    # Should return True for large subclass of bytearray
    class BigBytearray(bytearray):
        pass
    big_bytearray = BigBytearray(b"a" * 1000)
    codeflash_output = _is_binary_message(big_bytearray)

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

@pytest.mark.parametrize("input_val", [
    object(),  # arbitrary object
    lambda x: x,  # function
    Exception("err"),  # exception instance
])
def test_unusual_types(input_val):
    # Should return False for unusual types
    codeflash_output = _is_binary_message(input_val)

def test_unicode_string():
    # Should return False for unicode string
    codeflash_output = _is_binary_message("你好")

def test_bytes_with_non_ascii():
    # Should return True for bytes containing non-ascii values
    codeflash_output = _is_binary_message(bytes([0xff, 0xfe, 0xfd]))

def test_bytearray_with_non_ascii():
    # Should return True for bytearray containing non-ascii values
    codeflash_output = _is_binary_message(bytearray([0xff, 0xfe, 0xfd]))

def test_bytes_with_null_bytes():
    # Should return True for bytes with null bytes
    codeflash_output = _is_binary_message(b"\x00\x00\x00")

def test_bytearray_with_null_bytes():
    # Should return True for bytearray with null bytes
    codeflash_output = _is_binary_message(bytearray(b"\x00\x00\x00"))
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
⏪ Replay Tests and Runtime
Test File::Test Function Original ⏱️ Optimized ⏱️ Speedup
test_pytest_testsintegrationstest_integration_scenarios_py_testsunittest_core_utils_py_testsutilstest_htt__replay_test_0.py::test_deepgram_listen_v1_socket_client_V1SocketClient__is_binary_message 4.76μs 4.53μs 5.16%✅

To edit these changes git checkout codeflash/optimize-V1SocketClient._is_binary_message-mh2wq8gx and push.

Codeflash

The optimization moves the tuple `(bytes, bytearray)` from being created inline in the `isinstance` call to a module-level constant `_BINARY_TYPES`. This eliminates the overhead of tuple creation and garbage collection on every function call.

**Key change:** Instead of `isinstance(message, (bytes, bytearray))`, the code now uses `isinstance(message, _BINARY_TYPES)` where `_BINARY_TYPES = (bytes, bytearray)` is defined once at module scope.

**Why this improves performance:** In Python, creating tuples has overhead - each call to `isinstance(message, (bytes, bytearray))` must allocate a new tuple object, populate it with the type references, and later garbage collect it. By pre-creating this tuple once at import time, we eliminate this repeated allocation/deallocation cycle.

**Test case performance:** The optimization shows consistent improvements across all test scenarios, with particularly strong gains (15-28% faster) for non-binary types like strings, numbers, and collections. This suggests the tuple creation overhead is more noticeable when `isinstance` can quickly determine the type doesn't match, making the tuple allocation the dominant cost. Binary types (bytes/bytearray) show smaller but still meaningful improvements (4-17% faster) since the type checking itself takes more time relative to tuple creation.

The 8% overall speedup demonstrates that even micro-optimizations can provide measurable benefits in frequently-called utility functions like type checking methods.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 October 23, 2025 04:13
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: Medium Optimization Quality according to Codeflash labels Oct 23, 2025
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: Medium Optimization Quality according to Codeflash

Projects

None yet

Development

Successfully merging this pull request may close these issues.

1 participant