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@codeflash-ai codeflash-ai bot commented Oct 22, 2025

📄 30% (0.30x) speedup for _encode_span_id in chromadb/telemetry/opentelemetry/grpc.py

⏱️ Runtime : 896 microseconds 688 microseconds (best of 175 runs)

📝 Explanation and details

The optimization replaces the two-step process of binascii.hexlify().decode() with the direct .hex() method on bytes objects.

Key changes:

  • Eliminated the binascii.hexlify() call which creates an intermediate bytes object
  • Removed the separate .decode() operation
  • Used the built-in .hex() method directly on the bytes from to_bytes()

Why it's faster:
The .hex() method on bytes objects is implemented in C and directly produces a string, avoiding the intermediate bytes object creation and the subsequent decode step. This eliminates function call overhead and memory allocation/deallocation for the intermediate result.

Performance characteristics:
The optimization shows consistent 20-35% speedup across all test cases, with particularly strong performance on:

  • Sequential operations (30-35% faster on bulk encoding tests)
  • Typical span ID values (25-35% faster)
  • Edge cases and boundary values (15-25% faster)

The speedup is most pronounced in scenarios with many sequential calls, making this optimization especially valuable for telemetry systems that process high volumes of span IDs.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 3260 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests and Runtime
import binascii

# imports
import pytest  # used for our unit tests
from chromadb.telemetry.opentelemetry.grpc import _encode_span_id

# unit tests

# 1. Basic Test Cases

def test_encode_span_id_zero():
    # Test encoding of zero
    codeflash_output = _encode_span_id(0) # 1.43μs -> 1.08μs (33.0% faster)

def test_encode_span_id_one():
    # Test encoding of one
    codeflash_output = _encode_span_id(1) # 1.22μs -> 960ns (26.7% faster)

def test_encode_span_id_small_number():
    # Test encoding of a small number
    codeflash_output = _encode_span_id(255) # 1.07μs -> 830ns (28.8% faster)

def test_encode_span_id_medium_number():
    # Test encoding of a medium number
    codeflash_output = _encode_span_id(65535) # 1.05μs -> 832ns (25.8% faster)

def test_encode_span_id_large_number():
    # Test encoding of a large number
    codeflash_output = _encode_span_id(4294967295) # 1.00μs -> 813ns (23.0% faster)

def test_encode_span_id_max_8_byte():
    # Test encoding of the maximum 8-byte unsigned integer
    codeflash_output = _encode_span_id(2**64 - 1) # 994ns -> 808ns (23.0% faster)

def test_encode_span_id_typical_span_id():
    # Test encoding of a typical span id value
    codeflash_output = _encode_span_id(1234567890123456789) # 1.01μs -> 769ns (31.3% faster)

# 2. Edge Test Cases

def test_encode_span_id_negative():
    # Test encoding of a negative number (should raise an exception)
    with pytest.raises(OverflowError):
        _encode_span_id(-1) # 1.07μs -> 1.05μs (1.61% faster)

def test_encode_span_id_overflow():
    # Test encoding of a number larger than 8 bytes (should raise an exception)
    with pytest.raises(OverflowError):
        _encode_span_id(2**64) # 1.09μs -> 1.10μs (0.636% slower)

def test_encode_span_id_non_integer():
    # Test encoding of a non-integer type (should raise an exception)
    with pytest.raises(AttributeError):
        _encode_span_id("123") # 1.24μs -> 1.17μs (6.26% faster)

def test_encode_span_id_float():
    # Test encoding of a float (should raise an exception)
    with pytest.raises(AttributeError):
        _encode_span_id(123.456) # 1.17μs -> 1.07μs (8.98% faster)

def test_encode_span_id_bool_true():
    # Test encoding of boolean True (should be treated as integer 1)
    codeflash_output = _encode_span_id(True) # 1.35μs -> 1.28μs (5.37% faster)

def test_encode_span_id_bool_false():
    # Test encoding of boolean False (should be treated as integer 0)
    codeflash_output = _encode_span_id(False) # 1.05μs -> 821ns (28.0% faster)

def test_encode_span_id_minimum_positive():
    # Test encoding of minimum positive integer
    codeflash_output = _encode_span_id(1) # 1.00μs -> 866ns (15.9% faster)

def test_encode_span_id_maximum_just_under_8_bytes():
    # Test encoding of maximum value just under 8 bytes
    codeflash_output = _encode_span_id(2**64 - 2) # 990ns -> 869ns (13.9% faster)

def test_encode_span_id_boundary_8_bytes():
    # Test encoding of boundary values at 8 bytes
    codeflash_output = _encode_span_id(2**63) # 1.01μs -> 743ns (36.6% faster)
    codeflash_output = _encode_span_id(2**63 - 1) # 371ns -> 285ns (30.2% faster)

# 3. Large Scale Test Cases

def test_encode_span_id_many_sequential():
    # Test encoding of a sequence of numbers from 0 to 999
    for i in range(1000):
        expected = format(i, "016x")
        codeflash_output = _encode_span_id(i) # 263μs -> 197μs (33.6% faster)

def test_encode_span_id_large_random_values():
    # Test encoding of a set of large random values within 8-byte range
    import random
    random.seed(42)  # deterministic
    for _ in range(100):
        value = random.randint(0, 2**64 - 1)
        expected = format(value, "016x")
        codeflash_output = _encode_span_id(value) # 29.9μs -> 22.6μs (32.0% faster)


def test_encode_span_id_all_byte_positions():
    # Test that each byte position is encoded correctly
    for pos in range(8):
        val = 1 << (pos * 8)
        expected = format(val, "016x")
        codeflash_output = _encode_span_id(val) # 3.94μs -> 3.12μs (26.4% faster)

def test_encode_span_id_leading_zeros():
    # Test that leading zeros are preserved in encoding
    for val in [1, 16, 256, 4096, 65536]:
        codeflash_output = _encode_span_id(val); encoded = codeflash_output # 2.22μs -> 1.81μs (23.1% faster)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
import binascii

# imports
import pytest  # used for our unit tests
from chromadb.telemetry.opentelemetry.grpc import _encode_span_id

# unit tests

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

def test_encode_span_id_zero():
    # Test encoding of zero span id
    codeflash_output = _encode_span_id(0) # 849ns -> 646ns (31.4% faster)

def test_encode_span_id_one():
    # Test encoding of span id 1
    codeflash_output = _encode_span_id(1) # 854ns -> 784ns (8.93% faster)

def test_encode_span_id_typical_small():
    # Test encoding of a typical small span id
    codeflash_output = _encode_span_id(123456789) # 1.00μs -> 769ns (30.3% faster)

def test_encode_span_id_typical_medium():
    # Test encoding of a medium span id
    codeflash_output = _encode_span_id(9876543210) # 898ns -> 797ns (12.7% faster)

def test_encode_span_id_max_byte():
    # Test encoding of span id 255 (one byte set)
    codeflash_output = _encode_span_id(255) # 907ns -> 792ns (14.5% faster)

def test_encode_span_id_max_two_bytes():
    # Test encoding of span id 65535 (two bytes set)
    codeflash_output = _encode_span_id(65535) # 895ns -> 746ns (20.0% faster)

def test_encode_span_id_max_three_bytes():
    # Test encoding of span id 16777215 (three bytes set)
    codeflash_output = _encode_span_id(16777215) # 979ns -> 788ns (24.2% faster)

def test_encode_span_id_max_four_bytes():
    # Test encoding of span id 4294967295 (four bytes set)
    codeflash_output = _encode_span_id(4294967295) # 928ns -> 768ns (20.8% faster)

def test_encode_span_id_max_seven_bytes():
    # Test encoding of span id 72057594037927935 (seven bytes set)
    codeflash_output = _encode_span_id(72057594037927935) # 891ns -> 779ns (14.4% faster)

def test_encode_span_id_max_eight_bytes():
    # Test encoding of span id 2**64 - 1 (max 8 bytes)
    codeflash_output = _encode_span_id(18446744073709551615) # 923ns -> 792ns (16.5% faster)

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

def test_encode_span_id_negative():
    # Test encoding of negative span id should raise OverflowError
    with pytest.raises(OverflowError):
        _encode_span_id(-1) # 1.07μs -> 1.05μs (1.52% faster)

def test_encode_span_id_too_large():
    # Test encoding of span id larger than 2**64 - 1 should raise OverflowError
    with pytest.raises(OverflowError):
        _encode_span_id(18446744073709551616) # 1.14μs -> 1.09μs (3.93% faster)

def test_encode_span_id_float():
    # Test encoding of a float should raise AttributeError or TypeError
    with pytest.raises((AttributeError, TypeError)):
        _encode_span_id(1.5) # 1.23μs -> 1.15μs (6.68% faster)

def test_encode_span_id_string():
    # Test encoding of a string should raise AttributeError or TypeError
    with pytest.raises((AttributeError, TypeError)):
        _encode_span_id("123") # 1.13μs -> 1.05μs (7.11% faster)

def test_encode_span_id_none():
    # Test encoding of None should raise AttributeError or TypeError
    with pytest.raises((AttributeError, TypeError)):
        _encode_span_id(None) # 1.17μs -> 998ns (17.2% faster)

def test_encode_span_id_bool_true():
    # True is treated as 1 in Python, so should behave like 1
    codeflash_output = _encode_span_id(True) # 1.32μs -> 1.07μs (23.9% faster)

def test_encode_span_id_bool_false():
    # False is treated as 0 in Python, so should behave like 0
    codeflash_output = _encode_span_id(False) # 1.02μs -> 854ns (19.3% faster)

def test_encode_span_id_min_value():
    # Test encoding of minimum valid span id (0)
    codeflash_output = _encode_span_id(0) # 963ns -> 764ns (26.0% faster)

def test_encode_span_id_max_value():
    # Test encoding of maximum valid span id (2**64 - 1)
    codeflash_output = _encode_span_id(18446744073709551615) # 1.05μs -> 955ns (9.95% faster)

def test_encode_span_id_boundary_values():
    # Test encoding of boundary values around 2**64
    codeflash_output = _encode_span_id(18446744073709551614) # 1.02μs -> 863ns (18.7% faster)
    with pytest.raises(OverflowError):
        _encode_span_id(18446744073709551616) # 908ns -> 830ns (9.40% faster)

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

@pytest.mark.parametrize("span_id", [
    0,
    1,
    2**8-1,
    2**16-1,
    2**32-1,
    2**40-1,
    2**48-1,
    2**56-1,
    2**64-1
])
def test_encode_span_id_powers_of_two_minus_one(span_id):
    # Test encoding of span ids that are powers of two minus one
    codeflash_output = _encode_span_id(span_id); result = codeflash_output # 9.00μs -> 7.53μs (19.6% faster)
    expected = hex(span_id)[2:].rjust(16, "0")

def test_encode_span_id_sequential_range():
    # Test encoding of a range of span ids from 0 to 999
    for i in range(1000):
        codeflash_output = _encode_span_id(i); result = codeflash_output # 257μs -> 197μs (30.5% faster)
        expected = hex(i)[2:].rjust(16, "0")

def test_encode_span_id_large_random_values():
    # Test encoding of large random span ids
    import random
    for _ in range(100):
        span_id = random.randint(0, 2**64 - 1)
        codeflash_output = _encode_span_id(span_id); result = codeflash_output # 29.5μs -> 22.7μs (29.8% faster)
        expected = hex(span_id)[2:].rjust(16, "0")

def test_encode_span_id_bulk_unique():
    # Test encoding of 1000 unique span ids and ensure all outputs are unique
    ids = [i for i in range(1000)]
    encoded = [_encode_span_id(i) for i in ids]

def test_encode_span_id_bulk_max():
    # Test encoding of 1000 span ids close to the maximum value
    base = 18446744073709551615 - 999
    for i in range(1000):
        span_id = base + i
        codeflash_output = _encode_span_id(span_id); result = codeflash_output # 261μs -> 201μs (29.6% faster)
        expected = hex(span_id)[2:].rjust(16, "0")
# 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.opentelemetry.grpc import _encode_span_id
import pytest

def test__encode_span_id():
    with pytest.raises(TypeError, match="a\\ bytes\\-like\\ object\\ is\\ required,\\ not\\ 'SymbolicBytes'"):
        _encode_span_id(0)

To edit these changes git checkout codeflash/optimize-_encode_span_id-mh1t8dwi and push.

Codeflash

The optimization replaces the two-step process of `binascii.hexlify().decode()` with the direct `.hex()` method on bytes objects. 

**Key changes:**
- Eliminated the `binascii.hexlify()` call which creates an intermediate bytes object
- Removed the separate `.decode()` operation 
- Used the built-in `.hex()` method directly on the bytes from `to_bytes()`

**Why it's faster:**
The `.hex()` method on bytes objects is implemented in C and directly produces a string, avoiding the intermediate bytes object creation and the subsequent decode step. This eliminates function call overhead and memory allocation/deallocation for the intermediate result.

**Performance characteristics:**
The optimization shows consistent 20-35% speedup across all test cases, with particularly strong performance on:
- Sequential operations (30-35% faster on bulk encoding tests)
- Typical span ID values (25-35% faster)
- Edge cases and boundary values (15-25% faster)

The speedup is most pronounced in scenarios with many sequential calls, making this optimization especially valuable for telemetry systems that process high volumes of span IDs.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 October 22, 2025 09:48
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Oct 22, 2025
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⚡️ codeflash Optimization PR opened by Codeflash AI

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