⚡️ Speed up function with_content_type by 432%#18
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The optimization achieves a **432% speedup** by eliminating two major performance bottlenecks: **1. Removed expensive `cast()` calls (74% of original runtime)** The original code used `cast()` for type hints on tuple unpacking, which added significant overhead: - Line with `cast(Tuple[Optional[str], FileContent], file)` took 2.98ms (26.7% of total time) - Line with `cast(...Mapping[str, str]], file)` took 5.27ms (47.3% of total time) The optimized version directly unpacks tuples (`filename, content = file`), eliminating these costly function calls entirely. **2. Cached `len(file)` calculation** Instead of calling `len(file)` multiple times in the conditional chain, the optimization calculates it once and stores it in `file_len`. This reduces redundant length calculations. **Performance impact by test case:** - **Tuple-based operations see 200-400% speedups**: Test cases involving 2-4 element tuples (most common usage) show the biggest gains since they benefit most from removing `cast()` overhead - **Simple file cases show modest changes**: Non-tuple cases (bytes, strings, IO objects) have minimal impact since they bypass the tuple processing entirely - **Error cases improve slightly**: Invalid tuple lengths benefit from the cached length calculation The optimization is particularly effective for applications processing many file objects with metadata (filename, content-type, headers), which is the primary use case for this utility function.
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📄 432% (4.32x) speedup for
with_content_typeinsrc/deepgram/core/file.py⏱️ Runtime :
2.85 milliseconds→536 microseconds(best of111runs)📝 Explanation and details
The optimization achieves a 432% speedup by eliminating two major performance bottlenecks:
1. Removed expensive
cast()calls (74% of original runtime)The original code used
cast()for type hints on tuple unpacking, which added significant overhead:cast(Tuple[Optional[str], FileContent], file)took 2.98ms (26.7% of total time)cast(...Mapping[str, str]], file)took 5.27ms (47.3% of total time)The optimized version directly unpacks tuples (
filename, content = file), eliminating these costly function calls entirely.2. Cached
len(file)calculationInstead of calling
len(file)multiple times in the conditional chain, the optimization calculates it once and stores it infile_len. This reduces redundant length calculations.Performance impact by test case:
cast()overheadThe optimization is particularly effective for applications processing many file objects with metadata (filename, content-type, headers), which is the primary use case for this utility function.
✅ Correctness verification report:
⚙️ Existing Unit Tests and Runtime
unit/test_core_file.py::TestFileTyping.test_various_file_content_typesunit/test_core_file.py::TestWithContentType.test_four_element_tuple_with_headersunit/test_core_file.py::TestWithContentType.test_four_element_tuple_with_none_content_typeunit/test_core_file.py::TestWithContentType.test_invalid_tuple_lengthunit/test_core_file.py::TestWithContentType.test_io_file_contentunit/test_core_file.py::TestWithContentType.test_simple_file_contentunit/test_core_file.py::TestWithContentType.test_single_element_tupleunit/test_core_file.py::TestWithContentType.test_string_file_contentunit/test_core_file.py::TestWithContentType.test_three_element_tuple_with_content_typeunit/test_core_file.py::TestWithContentType.test_three_element_tuple_with_none_content_typeunit/test_core_file.py::TestWithContentType.test_two_element_tuple🌀 Generated Regression Tests and Runtime
⏪ Replay Tests and Runtime
🔎 Concolic Coverage Tests and Runtime
codeflash_concolic_7zeygj7s/tmpxrd1qf7d/test_concolic_coverage.py::test_with_content_typecodeflash_concolic_7zeygj7s/tmpxrd1qf7d/test_concolic_coverage.py::test_with_content_type_2codeflash_concolic_7zeygj7s/tmpxrd1qf7d/test_concolic_coverage.py::test_with_content_type_3codeflash_concolic_7zeygj7s/tmpxrd1qf7d/test_concolic_coverage.py::test_with_content_type_4To edit these changes
git checkout codeflash/optimize-with_content_type-mh4hq3moand push.