⚡️ Speed up method V1SocketClient._is_binary_message by 8%#9
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⚡️ Speed up method V1SocketClient._is_binary_message by 8%#9codeflash-ai[bot] wants to merge 1 commit intomainfrom
V1SocketClient._is_binary_message by 8%#9codeflash-ai[bot] wants to merge 1 commit intomainfrom
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Impact: low Impact_explanation: Looking at this optimization report, I need to assess the impact based on the provided criteria: **Runtime Analysis:** - Original runtime: 11.4 microseconds - Optimized runtime: 10.5 microseconds - Speedup: 7.95% **Key Factors:** 1. **Total runtime is very small**: At 11.4 microseconds, this is well below the 100 microsecond threshold mentioned in the rubric for considering minor improvements. 2. **Speedup percentage**: At 7.95%, this is below the 15% threshold for relative speedup significance. 3. **Replay test results**: The speedups shown are 6.09% and 14.9%, which are mixed - one below the 5% threshold and one above, but the sample size is very small (only 2 tests). 4. **Hot path consideration**: No calling function details are provided, so I cannot determine if this function is in a hot path where the optimization effects would be multiplicative. 5. **Optimization nature**: This is a micro-optimization that moves tuple creation from runtime to module load time. While technically sound, the absolute time savings are minimal. 6. **Consistency**: The optimization appears to provide consistent but modest gains, but the absolute improvement is very small (less than 1 microsecond). **Assessment:** Given that: - The total runtime is very small (11.4 microseconds < 100 microseconds) - The relative speedup (7.95%) is below the 15% threshold - No evidence of the function being in a hot path - The absolute time savings are minimal This represents a technically correct but low-impact optimization. END OF IMPACT EXPLANATION The optimization moves the tuple `(bytes, bytearray)` from being created inline within the `isinstance()` call to a module-level constant `_bytes_types`. This eliminates the overhead of creating a new tuple object on every function call. **Key change**: The tuple creation is moved from runtime to module load time, reducing per-call overhead by ~3.4% (from 1458.1ns to 1409.6ns per hit). **Why it's faster**: In Python, `isinstance()` with a tuple of types requires creating that tuple object each time when done inline. By pre-creating the tuple as a module constant, we avoid this repeated allocation and initialization. The interpreter can directly reference the pre-existing tuple object, saving both memory allocation time and tuple construction overhead. **Performance characteristics**: This optimization provides consistent but modest gains across all usage patterns. The 7% overall speedup is most beneficial in high-frequency message processing scenarios where `_is_binary_message()` is called repeatedly, such as real-time audio streaming or bulk message classification workflows.
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📄 8% (0.08x) speedup for
V1SocketClient._is_binary_messageinsrc/deepgram/listen/v1/socket_client.py⏱️ Runtime :
11.4 microseconds→10.5 microseconds(best of1630runs)📝 Explanation and details
Impact: low
Impact_explanation: Looking at this optimization report, I need to assess the impact based on the provided criteria:
Runtime Analysis:
Key Factors:
Total runtime is very small: At 11.4 microseconds, this is well below the 100 microsecond threshold mentioned in the rubric for considering minor improvements.
Speedup percentage: At 7.95%, this is below the 15% threshold for relative speedup significance.
Replay test results: The speedups shown are 6.09% and 14.9%, which are mixed - one below the 5% threshold and one above, but the sample size is very small (only 2 tests).
Hot path consideration: No calling function details are provided, so I cannot determine if this function is in a hot path where the optimization effects would be multiplicative.
Optimization nature: This is a micro-optimization that moves tuple creation from runtime to module load time. While technically sound, the absolute time savings are minimal.
Consistency: The optimization appears to provide consistent but modest gains, but the absolute improvement is very small (less than 1 microsecond).
Assessment:
Given that:
This represents a technically correct but low-impact optimization.
END OF IMPACT EXPLANATION
The optimization moves the tuple
(bytes, bytearray)from being created inline within theisinstance()call to a module-level constant_bytes_types. This eliminates the overhead of creating a new tuple object on every function call.Key change: The tuple creation is moved from runtime to module load time, reducing per-call overhead by ~3.4% (from 1458.1ns to 1409.6ns per hit).
Why it's faster: In Python,
isinstance()with a tuple of types requires creating that tuple object each time when done inline. By pre-creating the tuple as a module constant, we avoid this repeated allocation and initialization. The interpreter can directly reference the pre-existing tuple object, saving both memory allocation time and tuple construction overhead.Performance characteristics: This optimization provides consistent but modest gains across all usage patterns. The 7% overall speedup is most beneficial in high-frequency message processing scenarios where
_is_binary_message()is called repeatedly, such as real-time audio streaming or bulk message classification workflows.✅ Correctness verification report:
⏪ Replay Tests and Runtime
test_pytest_testsunittest_type_definitions_py_testsunittest_core_utils_py_testsintegrationstest_listen_cl__replay_test_0.py::test_src_deepgram_listen_v1_socket_client_V1SocketClient__is_binary_messagetest_pytest_testsutilstest_query_encoding_py_testsintegrationstest_auth_client_py_testsunittest_core_mode__replay_test_0.py::test_src_deepgram_listen_v1_socket_client_V1SocketClient__is_binary_messageTo edit these changes
git checkout codeflash/optimize-V1SocketClient._is_binary_message-mguh7ziland push.