⚡️ Speed up function `with_content_type` by 459% by codeflash-ai[bot] · Pull Request #27 · aseembits93/deepgram-python-sdk

codeflash-ai · 2025-10-17T10:51:54Z

📄 459% (4.59x) speedup for `with_content_type` in `src/deepgram/core/file.py`

⏱️ Runtime : 922 microseconds → 165 microseconds (best of 108 runs)

📝 Explanation and details

Impact: high
Impact_explanation: Looking at this optimization report, I need to assess the impact based on the provided rubric and data.

Analysis:

Performance Improvements:

Overall runtime improvement: 922μs → 165μs (458.89% speedup)
This is a substantial improvement, well above the 15% threshold
The optimization consistently shows 400-700% speedups for tuple inputs across multiple test cases
For non-tuple inputs, improvements are modest (4-15%) but still positive

Test Results Analysis:

Existing tests: Show consistently high speedups for tuple cases (409-579%) and modest improvements for non-tuple cases (2-10%)
Generated tests: Demonstrate consistent 500-700% speedups for tuple inputs, with only minor improvements for simple data types
No performance regressions of significance (only one case shows -2.86% which is minimal)

Runtime Magnitude:

While individual test runtimes are in microseconds (which would typically indicate low impact), the overall runtime of 922μs is close to 1ms, which is significant enough
The optimization shows consistent behavior across a large number of test cases
The speedup percentages are substantial and consistent

Code Quality:

The optimization eliminates expensive cast() operations that were consuming 61.5% of execution time
Replaces runtime type checking with simple tuple indexing
Maintains identical functionality while improving performance

Pattern of Improvements:

The optimization is most effective for the common use case (tuple inputs)
Shows consistent improvements across different tuple lengths and configurations
Even edge cases maintain or improve performance

Based on the rubric:

Runtime is approaching 1ms (922μs), making it significant
Relative speedup (458.89%) is well above the 15% threshold
Improvements are consistent across test cases, not just fast on a few cases
The optimization targets a computationally expensive operation (cast()) with a much more efficient alternative

END OF IMPACT EXPLANATION

The optimization eliminates expensive type casting operations and variable assignments by directly accessing tuple elements through indexing. The key changes are:

What was optimized:

Replaced cast() calls with direct tuple indexing (file[0], file[1], etc.)
Eliminated intermediate variable assignments (filename, content = ..., out_content_type = ...)
Used inline ternary expressions instead of separate variable assignments

Why this is faster:
The cast() function in Python's typing module performs runtime type checking and creates new tuple objects, which is computationally expensive. Direct tuple indexing is a simple memory access operation. The profiler shows the cast() calls consumed 61.5% of total execution time (lines with 29.3% and 32.2% time), while the optimized version eliminates this overhead entirely.

Performance characteristics:
This optimization is particularly effective for tuple inputs (2, 3, and 4-element tuples), showing 500-700% speedups in the test cases. For non-tuple inputs (bytes, strings, file objects), the gains are modest (4-15%) since those code paths didn't use cast(). The optimization maintains identical behavior while reducing function execution time from 922μs to 165μs overall.

The speedup is most pronounced in scenarios with frequent tuple-based file inputs, which appears to be the common use case based on the test distribution.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	✅ 23 Passed
🌀 Generated Regression Tests	✅ 176 Passed
⏪ Replay Tests	✅ 9 Passed
🔎 Concolic Coverage Tests	✅ 4 Passed
📊 Tests Coverage	100.0%

⚙️ Existing Unit Tests and Runtime

Test File::Test Function	Original ⏱️	Optimized ⏱️	Speedup
`unit/test_core_file.py::TestFileTyping.test_various_file_content_types`	2.54μs	2.30μs	10.4%✅
`unit/test_core_file.py::TestWithContentType.test_four_element_tuple_with_headers`	10.1μs	1.53μs	557%✅
`unit/test_core_file.py::TestWithContentType.test_four_element_tuple_with_none_content_type`	10.6μs	1.57μs	579%✅
`unit/test_core_file.py::TestWithContentType.test_invalid_tuple_length`	2.68μs	2.65μs	0.942%✅
`unit/test_core_file.py::TestWithContentType.test_io_file_content`	1.40μs	1.36μs	2.64%✅
`unit/test_core_file.py::TestWithContentType.test_simple_file_content`	1.21μs	1.12μs	7.39%✅
`unit/test_core_file.py::TestWithContentType.test_single_element_tuple`	2.65μs	2.73μs	-2.86%⚠️
`unit/test_core_file.py::TestWithContentType.test_string_file_content`	1.30μs	1.26μs	3.57%✅
`unit/test_core_file.py::TestWithContentType.test_three_element_tuple_with_content_type`	7.58μs	1.49μs	409%✅
`unit/test_core_file.py::TestWithContentType.test_three_element_tuple_with_none_content_type`	7.68μs	1.43μs	436%✅
`unit/test_core_file.py::TestWithContentType.test_two_element_tuple`	6.55μs	1.22μs	438%✅

🌀 Generated Regression Tests and Runtime

import io
# function to test
# (from src/deepgram/core/file.py, as provided)
from typing import IO, Mapping, Optional, Tuple, Union, cast

# imports
import pytest
from src.deepgram.core.file import with_content_type

FileContent = Union[IO[bytes], bytes, str]
File = Union[
    FileContent,
    Tuple[Optional[str], FileContent],
    Tuple[Optional[str], FileContent, Optional[str]],
    Tuple[Optional[str], FileContent, Optional[str], Mapping[str, str]],
]
from src.deepgram.core.file import with_content_type

# unit tests

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

def test_basic_bytes_file():
    # File is bytes, no filename/content_type, should wrap with None and default
    file = b"abc"
    default_ct = "audio/wav"
    codeflash_output = with_content_type(file=file, default_content_type=default_ct); result = codeflash_output # 1.22μs -> 1.22μs (0.246% slower)

def test_basic_str_file():
    # File is str, no filename/content_type, should wrap with None and default
    file = "abc"
    default_ct = "text/plain"
    codeflash_output = with_content_type(file=file, default_content_type=default_ct); result = codeflash_output # 1.32μs -> 1.22μs (8.12% faster)

def test_basic_io_file():
    # File is IO[bytes], no filename/content_type, should wrap with None and default
    file = io.BytesIO(b"123")
    default_ct = "application/octet-stream"
    codeflash_output = with_content_type(file=file, default_content_type=default_ct); result = codeflash_output # 1.38μs -> 1.30μs (6.38% faster)

def test_basic_tuple_filename_file():
    # File is (filename, file), should add default content type
    file = ("file.txt", b"hello")
    default_ct = "text/plain"
    codeflash_output = with_content_type(file=file, default_content_type=default_ct); result = codeflash_output # 8.89μs -> 1.36μs (554% faster)

def test_basic_tuple_none_filename_file():
    # File is (None, file), should add default content type
    file = (None, b"hello")
    default_ct = "application/octet-stream"
    codeflash_output = with_content_type(file=file, default_content_type=default_ct); result = codeflash_output # 8.65μs -> 1.37μs (531% faster)

def test_basic_tuple_filename_file_content_type():
    # File is (filename, file, content_type), should keep content_type
    file = ("file.wav", b"data", "audio/wav")
    default_ct = "audio/mp3"
    codeflash_output = with_content_type(file=file, default_content_type=default_ct); result = codeflash_output # 9.69μs -> 1.44μs (573% faster)

def test_basic_tuple_filename_file_none_content_type():
    # File is (filename, file, None), should use default content type
    file = ("file.wav", b"data", None)
    default_ct = "audio/mp3"
    codeflash_output = with_content_type(file=file, default_content_type=default_ct); result = codeflash_output # 9.65μs -> 1.45μs (566% faster)

def test_basic_tuple_filename_file_empty_content_type():
    # File is (filename, file, ""), should use default content type
    file = ("file.wav", b"data", "")
    default_ct = "audio/mp3"
    codeflash_output = with_content_type(file=file, default_content_type=default_ct); result = codeflash_output # 9.80μs -> 1.51μs (549% faster)

def test_basic_tuple_filename_file_content_type_headers():
    # File is (filename, file, content_type, headers), should keep content_type and headers
    headers = {"X-Test": "1"}
    file = ("file.wav", b"data", "audio/wav", headers)
    default_ct = "audio/mp3"
    codeflash_output = with_content_type(file=file, default_content_type=default_ct); result = codeflash_output # 11.7μs -> 1.61μs (628% faster)

def test_basic_tuple_filename_file_none_content_type_headers():
    # File is (filename, file, None, headers), should use default content type and keep headers
    headers = {"X-Test": "2"}
    file = ("file.wav", b"data", None, headers)
    default_ct = "audio/mp3"
    codeflash_output = with_content_type(file=file, default_content_type=default_ct); result = codeflash_output # 11.8μs -> 1.55μs (660% faster)

def test_basic_tuple_filename_file_empty_content_type_headers():
    # File is (filename, file, "", headers), should use default content type and keep headers
    headers = {"X-Test": "3"}
    file = ("file.wav", b"data", "", headers)
    default_ct = "audio/mp3"
    codeflash_output = with_content_type(file=file, default_content_type=default_ct); result = codeflash_output # 11.6μs -> 1.63μs (613% faster)

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

def test_edge_tuple_length_1():
    # File is a tuple of length 1, should raise ValueError
    file = ("file.wav",)
    default_ct = "audio/mp3"
    with pytest.raises(ValueError) as excinfo:
        with_content_type(file=file, default_content_type=default_ct) # 2.59μs -> 2.59μs (0.077% faster)

def test_edge_tuple_length_5():
    # File is a tuple of length 5, should raise ValueError
    file = ("file.wav", b"data", "audio/wav", {"X": "1"}, "extra")
    default_ct = "audio/mp3"
    with pytest.raises(ValueError) as excinfo:
        with_content_type(file=file, default_content_type=default_ct) # 2.67μs -> 2.61μs (2.26% faster)

def test_edge_tuple_content_type_is_falsey():
    # File is (filename, file, 0), should use default content type (since 0 is falsey)
    file = ("file.wav", b"data", 0)
    default_ct = "audio/mp3"
    codeflash_output = with_content_type(file=file, default_content_type=default_ct); result = codeflash_output # 9.92μs -> 1.43μs (592% faster)

def test_edge_tuple_content_type_is_falsey_in_4_tuple():
    # File is (filename, file, 0, headers), should use default content type
    headers = {"X": "y"}
    file = ("file.wav", b"data", 0, headers)
    default_ct = "audio/mp3"
    codeflash_output = with_content_type(file=file, default_content_type=default_ct); result = codeflash_output # 11.8μs -> 1.60μs (637% faster)

def test_edge_tuple_content_type_is_none_string():
    # File is (filename, file, "None"), should treat as string "None" (not NoneType)
    file = ("file.wav", b"data", "None")
    default_ct = "audio/mp3"
    codeflash_output = with_content_type(file=file, default_content_type=default_ct); result = codeflash_output # 9.61μs -> 1.50μs (542% faster)

def test_edge_tuple_filename_is_none():
    # File is (None, file, content_type), should keep None as filename
    file = (None, b"data", "audio/wav")
    default_ct = "audio/mp3"
    codeflash_output = with_content_type(file=file, default_content_type=default_ct); result = codeflash_output # 9.70μs -> 1.51μs (544% faster)

def test_edge_tuple_filename_is_empty_string():
    # File is ("", file, content_type), should keep "" as filename
    file = ("", b"data", "audio/wav")
    default_ct = "audio/mp3"
    codeflash_output = with_content_type(file=file, default_content_type=default_ct); result = codeflash_output # 9.67μs -> 1.49μs (548% faster)

def test_edge_file_is_empty_bytes():
    # File is empty bytes, should wrap with None and default content type
    file = b""
    default_ct = "audio/mp3"
    codeflash_output = with_content_type(file=file, default_content_type=default_ct); result = codeflash_output # 1.36μs -> 1.24μs (9.99% faster)

def test_edge_file_is_empty_string():
    # File is empty string, should wrap with None and default content type
    file = ""
    default_ct = "audio/mp3"
    codeflash_output = with_content_type(file=file, default_content_type=default_ct); result = codeflash_output # 1.27μs -> 1.21μs (4.79% faster)

def test_edge_headers_is_empty_dict():
    # File is (filename, file, content_type, {}), should keep empty dict as headers
    file = ("file.wav", b"data", "audio/wav", {})
    default_ct = "audio/mp3"
    codeflash_output = with_content_type(file=file, default_content_type=default_ct); result = codeflash_output # 12.2μs -> 1.57μs (677% faster)

def test_edge_headers_is_non_string_dict():
    # File is (filename, file, content_type, {1:2}), should accept mapping with non-string keys/values
    file = ("file.wav", b"data", "audio/wav", {1: 2})
    default_ct = "audio/mp3"
    codeflash_output = with_content_type(file=file, default_content_type=default_ct); result = codeflash_output # 12.0μs -> 1.50μs (701% faster)

def test_edge_content_type_is_long_string():
    # File is (filename, file, long content_type), should keep long string
    long_ct = "x" * 1000
    file = ("file.wav", b"data", long_ct)
    default_ct = "audio/mp3"
    codeflash_output = with_content_type(file=file, default_content_type=default_ct); result = codeflash_output # 9.87μs -> 1.47μs (571% faster)

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

def test_large_bytes_file():
    # File is large bytes (1000 bytes), should wrap with None and default
    file = b"x" * 1000
    default_ct = "application/octet-stream"
    codeflash_output = with_content_type(file=file, default_content_type=default_ct); result = codeflash_output # 1.31μs -> 1.13μs (15.9% faster)

def test_large_str_file():
    # File is large string (1000 chars), should wrap with None and default
    file = "x" * 1000
    default_ct = "text/plain"
    codeflash_output = with_content_type(file=file, default_content_type=default_ct); result = codeflash_output # 1.35μs -> 1.24μs (9.11% faster)

def test_large_headers_dict():
    # File is (filename, file, content_type, large headers dict)
    headers = {f"X-{i}": str(i) for i in range(1000)}
    file = ("file.wav", b"data", "audio/wav", headers)
    default_ct = "audio/mp3"
    codeflash_output = with_content_type(file=file, default_content_type=default_ct); result = codeflash_output # 12.7μs -> 1.65μs (668% faster)

def test_large_tuple_content_types():
    # Test many different content types in 3-tuple
    for i in range(10):
        ct = f"audio/type{i}"
        file = ("file.wav", b"data", ct)
        default_ct = "audio/mp3"
        codeflash_output = with_content_type(file=file, default_content_type=default_ct); result = codeflash_output # 46.3μs -> 5.62μs (724% faster)

def test_large_varied_files():
    # Test a mix of all supported forms in a batch
    files = [
        b"abc",
        "abc",
        io.BytesIO(b"abc"),
        ("file1.txt", b"abc"),
        ("file2.txt", "abc"),
        ("file3.txt", io.BytesIO(b"abc")),
        ("file4.txt", b"abc", "text/plain"),
        ("file5.txt", b"abc", None),
        ("file6.txt", b"abc", "", {"A": "B"}),
        ("file7.txt", b"abc", "text/plain", {"A": "B"}),
    ]
    default_ct = "text/plain"
    expected = [
        (None, b"abc", "text/plain"),
        (None, "abc", "text/plain"),
        (None, io.BytesIO(b"abc"), "text/plain"),  # Note: file object identity differs
        ("file1.txt", b"abc", "text/plain"),
        ("file2.txt", "abc", "text/plain"),
        ("file3.txt", io.BytesIO(b"abc"), "text/plain"),
        ("file4.txt", b"abc", "text/plain"),
        ("file5.txt", b"abc", "text/plain"),
        ("file6.txt", b"abc", "text/plain", {"A": "B"}),
        ("file7.txt", b"abc", "text/plain", {"A": "B"}),
    ]
    for f, exp in zip(files, expected):
        codeflash_output = with_content_type(file=f, default_content_type=default_ct); result = codeflash_output # 39.8μs -> 6.50μs (512% faster)
        # For file objects, check type and content as file objects are not equal by value
        if isinstance(f, io.BytesIO):
            pass
        elif isinstance(f, tuple) and any(isinstance(x, io.BytesIO) for x in f if hasattr(x, "read")):
            pass
        else:
            pass
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
import io
# function to test
# (pasted from src/deepgram/core/file.py)
from typing import IO, Mapping, Optional, Tuple, Union, cast

# imports
import pytest
from src.deepgram.core.file import with_content_type

FileContent = Union[IO[bytes], bytes, str]
File = Union[
    FileContent,
    Tuple[Optional[str], FileContent],
    Tuple[Optional[str], FileContent, Optional[str]],
    Tuple[Optional[str], FileContent, Optional[str], Mapping[str, str]],
]
from src.deepgram.core.file import with_content_type

# unit tests

# ------------------------
# 1. Basic Test Cases
# ------------------------

def test_bytes_input_returns_tuple_with_default_content_type():
    # file is bytes
    file = b"hello"
    codeflash_output = with_content_type(file=file, default_content_type="audio/wav"); result = codeflash_output # 1.32μs -> 1.24μs (6.52% faster)

def test_str_input_returns_tuple_with_default_content_type():
    # file is str
    file = "hello"
    codeflash_output = with_content_type(file=file, default_content_type="text/plain"); result = codeflash_output # 1.36μs -> 1.30μs (4.62% faster)

def test_file_like_object_input_returns_tuple_with_default_content_type():
    # file is a file-like object
    file = io.BytesIO(b"data")
    codeflash_output = with_content_type(file=file, default_content_type="application/octet-stream"); result = codeflash_output # 1.43μs -> 1.36μs (5.60% faster)

def test_tuple_filename_and_bytes_returns_tuple_with_default_content_type():
    # file is (filename, bytes)
    file = ("test.wav", b"audio")
    codeflash_output = with_content_type(file=file, default_content_type="audio/wav"); result = codeflash_output # 8.76μs -> 1.37μs (541% faster)

def test_tuple_filename_and_filelike_returns_tuple_with_default_content_type():
    # file is (filename, file-like)
    file_obj = io.BytesIO(b"abc")
    file = ("file.mp3", file_obj)
    codeflash_output = with_content_type(file=file, default_content_type="audio/mp3"); result = codeflash_output # 8.57μs -> 1.37μs (525% faster)

def test_tuple_filename_content_and_content_type_returns_content_type():
    # file is (filename, content, content_type)
    file = ("foo.txt", "bar", "text/plain")
    codeflash_output = with_content_type(file=file, default_content_type="application/octet-stream"); result = codeflash_output # 9.89μs -> 1.57μs (531% faster)

def test_tuple_filename_content_and_none_content_type_returns_default():
    # file is (filename, content, None)
    file = ("foo.txt", "bar", None)
    codeflash_output = with_content_type(file=file, default_content_type="text/plain"); result = codeflash_output # 9.78μs -> 1.44μs (582% faster)

def test_tuple_filename_content_content_type_and_headers_returns_content_type_and_headers():
    # file is (filename, content, content_type, headers)
    headers = {"X-Test": "yes"}
    file = ("foo.txt", "bar", "text/plain", headers)
    codeflash_output = with_content_type(file=file, default_content_type="application/octet-stream"); result = codeflash_output # 12.2μs -> 1.62μs (650% faster)

def test_tuple_filename_content_none_content_type_and_headers_returns_default_content_type():
    # file is (filename, content, None, headers)
    headers = {"X-Test": "yes"}
    file = ("foo.txt", "bar", None, headers)
    codeflash_output = with_content_type(file=file, default_content_type="text/plain"); result = codeflash_output # 12.0μs -> 1.60μs (651% faster)

def test_tuple_none_filename_and_bytes_returns_tuple_with_default_content_type():
    # file is (None, bytes)
    file = (None, b"abc")
    codeflash_output = with_content_type(file=file, default_content_type="audio/wav"); result = codeflash_output # 8.69μs -> 1.36μs (540% faster)

def test_tuple_none_filename_content_and_content_type_returns_content_type():
    # file is (None, content, content_type)
    file = (None, "bar", "text/plain")
    codeflash_output = with_content_type(file=file, default_content_type="application/octet-stream"); result = codeflash_output # 10.0μs -> 1.56μs (540% faster)

def test_tuple_none_filename_content_content_type_and_headers_returns_content_type_and_headers():
    # file is (None, content, content_type, headers)
    headers = {"X-Test": "yes"}
    file = (None, "bar", "text/plain", headers)
    codeflash_output = with_content_type(file=file, default_content_type="application/octet-stream"); result = codeflash_output # 12.1μs -> 1.63μs (642% faster)

# ------------------------
# 2. Edge Test Cases
# ------------------------

def test_tuple_length_one_raises_value_error():
    # file is a tuple of length 1 (invalid)
    file = ("foo.txt",)
    with pytest.raises(ValueError):
        with_content_type(file=file, default_content_type="text/plain") # 2.71μs -> 2.50μs (8.36% faster)

def test_tuple_length_five_raises_value_error():
    # file is a tuple of length 5 (invalid)
    file = ("foo.txt", b"bar", "text/plain", {"X-Test": "yes"}, 123)
    with pytest.raises(ValueError):
        with_content_type(file=file, default_content_type="text/plain") # 2.66μs -> 2.56μs (3.95% faster)

def test_tuple_with_empty_string_content_type_uses_default():
    # file is (filename, content, "")
    file = ("foo.txt", "bar", "")
    codeflash_output = with_content_type(file=file, default_content_type="text/plain"); result = codeflash_output # 9.93μs -> 1.51μs (559% faster)

def test_tuple_with_none_filename_and_none_content_type_and_headers():
    # file is (None, content, None, headers)
    headers = {"X-Test": "yes"}
    file = (None, "bar", None, headers)
    codeflash_output = with_content_type(file=file, default_content_type="application/json"); result = codeflash_output # 12.0μs -> 1.53μs (684% faster)

def test_tuple_with_empty_headers_dict():
    # file is (filename, content, content_type, empty headers)
    file = ("foo.txt", "bar", "text/plain", {})
    codeflash_output = with_content_type(file=file, default_content_type="application/octet-stream"); result = codeflash_output # 12.1μs -> 1.60μs (657% faster)

def test_bytes_input_with_empty_default_content_type():
    # file is bytes, default_content_type is empty string
    file = b"abc"
    codeflash_output = with_content_type(file=file, default_content_type=""); result = codeflash_output # 1.35μs -> 1.27μs (6.45% faster)

def test_tuple_with_content_type_none_and_default_content_type_empty():
    # file is (filename, content, None), default_content_type is empty string
    file = ("foo.txt", "bar", None)
    codeflash_output = with_content_type(file=file, default_content_type=""); result = codeflash_output # 10.0μs -> 1.56μs (544% faster)

def test_tuple_with_content_type_empty_and_default_content_type_empty():
    # file is (filename, content, ""), default_content_type is empty string
    file = ("foo.txt", "bar", "")
    codeflash_output = with_content_type(file=file, default_content_type=""); result = codeflash_output # 9.91μs -> 1.53μs (545% faster)

def test_tuple_with_content_type_falsey_and_default_content_type_nonempty():
    # file is (filename, content, ""), default_content_type is non-empty
    file = ("foo.txt", "bar", "")
    codeflash_output = with_content_type(file=file, default_content_type="application/pdf"); result = codeflash_output # 9.85μs -> 1.54μs (539% faster)

def test_tuple_with_headers_with_non_ascii_keys_and_values():
    # file is (filename, content, content_type, headers with unicode)
    headers = {"X-Üñîçødë": "välüé"}
    file = ("foo.txt", "bar", "text/plain", headers)
    codeflash_output = with_content_type(file=file, default_content_type="application/octet-stream"); result = codeflash_output # 12.2μs -> 1.59μs (668% faster)

def test_file_like_object_with_default_content_type_none():
    # file is file-like, default_content_type is None (should be allowed, but will return None as content_type)
    file = io.BytesIO(b"abc")
    codeflash_output = with_content_type(file=file, default_content_type=None); result = codeflash_output # 1.46μs -> 1.35μs (8.36% faster)

def test_tuple_with_content_type_none_and_default_content_type_none():
    # file is (filename, content, None), default_content_type is None
    file = ("foo.txt", "bar", None)
    codeflash_output = with_content_type(file=file, default_content_type=None); result = codeflash_output # 9.83μs -> 1.55μs (534% faster)

# ------------------------
# 3. Large Scale Test Cases
# ------------------------

def test_large_bytes_input():
    # file is a large bytes object
    data = b"x" * 1000
    codeflash_output = with_content_type(file=data, default_content_type="application/octet-stream"); result = codeflash_output # 1.24μs -> 1.18μs (5.45% faster)

def test_large_str_input():
    # file is a large string
    data = "y" * 1000
    codeflash_output = with_content_type(file=data, default_content_type="text/plain"); result = codeflash_output # 1.34μs -> 1.27μs (5.11% faster)

def test_large_file_like_object():
    # file is a large file-like object
    data = io.BytesIO(b"z" * 1000)
    codeflash_output = with_content_type(file=data, default_content_type="application/octet-stream"); result = codeflash_output # 1.40μs -> 1.36μs (3.09% faster)

def test_many_headers_in_tuple():
    # file is (filename, content, content_type, many headers)
    headers = {f"X-Header-{i}": str(i) for i in range(1000)}
    file = ("foo.txt", "bar", "text/plain", headers)
    codeflash_output = with_content_type(file=file, default_content_type="application/octet-stream"); result = codeflash_output # 12.8μs -> 1.68μs (663% faster)

def test_many_unique_files_with_various_types():
    # test a variety of file inputs in a loop to ensure no cross-contamination or mutation
    for i in range(100):
        # alternate between bytes, str, file-like, and tuples
        if i % 4 == 0:
            file = b"x" * (i + 1)
            expected = (None, file, "audio/wav")
        elif i % 4 == 1:
            file = ("file%d.txt" % i, "content" * (i + 1))
            expected = ("file%d.txt" % i, "content" * (i + 1), "text/plain")
        elif i % 4 == 2:
            file = ("file%d.txt" % i, "content" * (i + 1), "application/pdf")
            expected = ("file%d.txt" % i, "content" * (i + 1), "application/pdf")
        else:
            file = ("file%d.txt" % i, "content" * (i + 1), None, {"X-Foo": str(i)})
            expected = ("file%d.txt" % i, "content" * (i + 1), "application/json", {"X-Foo": str(i)})
        if i % 4 == 0:
            codeflash_output = with_content_type(file=file, default_content_type="audio/wav"); result = codeflash_output
        elif i % 4 == 1:
            codeflash_output = with_content_type(file=file, default_content_type="text/plain"); result = codeflash_output
        elif i % 4 == 2:
            codeflash_output = with_content_type(file=file, default_content_type="application/pdf"); result = codeflash_output
        else:
            codeflash_output = with_content_type(file=file, default_content_type="application/json"); result = codeflash_output

def test_large_tuple_with_none_filename_and_large_bytes():
    # file is (None, large bytes)
    data = b"x" * 1000
    file = (None, data)
    codeflash_output = with_content_type(file=file, default_content_type="audio/wav"); result = codeflash_output # 8.72μs -> 1.35μs (544% faster)

def test_large_tuple_with_large_headers():
    # file is (filename, content, content_type, large headers dict)
    headers = {f"Header-{i}": "value" for i in range(1000)}
    file = ("foo.txt", "bar", "text/plain", headers)
    codeflash_output = with_content_type(file=file, default_content_type="application/octet-stream"); result = codeflash_output # 12.3μs -> 1.70μs (623% faster)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
from src.deepgram.core.file import with_content_type

def test_with_content_type():
    with_content_type(file=('', '', '', {}), default_content_type='')

def test_with_content_type_2():
    with_content_type(file=('', '', ''), default_content_type='')

def test_with_content_type_3():
    with_content_type(file=('', ''), default_content_type='')

def test_with_content_type_4():
    with_content_type(file='', default_content_type='')

⏪ Replay Tests and Runtime

🔎 Concolic Coverage Tests and Runtime

Test File::Test Function	Original ⏱️	Optimized ⏱️	Speedup
`codeflash_concolic_5p92pe1r/tmp7ukl4f03/test_concolic_coverage.py::test_with_content_type`	12.6μs	1.60μs	688%✅
`codeflash_concolic_5p92pe1r/tmp7ukl4f03/test_concolic_coverage.py::test_with_content_type_2`	9.88μs	1.35μs	633%✅
`codeflash_concolic_5p92pe1r/tmp7ukl4f03/test_concolic_coverage.py::test_with_content_type_3`	8.79μs	1.29μs	581%✅
`codeflash_concolic_5p92pe1r/tmp7ukl4f03/test_concolic_coverage.py::test_with_content_type_4`	1.26μs	1.16μs	8.69%✅

To edit these changes git checkout codeflash/optimize-with_content_type-mguqb9w3 and push.

Impact: high Impact_explanation: Looking at this optimization report, I need to assess the impact based on the provided rubric and data. ## Analysis: **Performance Improvements:** - Overall runtime improvement: 922μs → 165μs (458.89% speedup) - This is a substantial improvement, well above the 15% threshold - The optimization consistently shows 400-700% speedups for tuple inputs across multiple test cases - For non-tuple inputs, improvements are modest (4-15%) but still positive **Test Results Analysis:** - **Existing tests**: Show consistently high speedups for tuple cases (409-579%) and modest improvements for non-tuple cases (2-10%) - **Generated tests**: Demonstrate consistent 500-700% speedups for tuple inputs, with only minor improvements for simple data types - No performance regressions of significance (only one case shows -2.86% which is minimal) **Runtime Magnitude:** - While individual test runtimes are in microseconds (which would typically indicate low impact), the overall runtime of 922μs is close to 1ms, which is significant enough - The optimization shows consistent behavior across a large number of test cases - The speedup percentages are substantial and consistent **Code Quality:** - The optimization eliminates expensive `cast()` operations that were consuming 61.5% of execution time - Replaces runtime type checking with simple tuple indexing - Maintains identical functionality while improving performance **Pattern of Improvements:** - The optimization is most effective for the common use case (tuple inputs) - Shows consistent improvements across different tuple lengths and configurations - Even edge cases maintain or improve performance Based on the rubric: - Runtime is approaching 1ms (922μs), making it significant - Relative speedup (458.89%) is well above the 15% threshold - Improvements are consistent across test cases, not just fast on a few cases - The optimization targets a computationally expensive operation (`cast()`) with a much more efficient alternative END OF IMPACT EXPLANATION The optimization eliminates expensive type casting operations and variable assignments by directly accessing tuple elements through indexing. The key changes are: **What was optimized:** - Replaced `cast()` calls with direct tuple indexing (`file[0]`, `file[1]`, etc.) - Eliminated intermediate variable assignments (`filename, content = ...`, `out_content_type = ...`) - Used inline ternary expressions instead of separate variable assignments **Why this is faster:** The `cast()` function in Python's typing module performs runtime type checking and creates new tuple objects, which is computationally expensive. Direct tuple indexing is a simple memory access operation. The profiler shows the `cast()` calls consumed 61.5% of total execution time (lines with 29.3% and 32.2% time), while the optimized version eliminates this overhead entirely. **Performance characteristics:** This optimization is particularly effective for tuple inputs (2, 3, and 4-element tuples), showing 500-700% speedups in the test cases. For non-tuple inputs (bytes, strings, file objects), the gains are modest (4-15%) since those code paths didn't use `cast()`. The optimization maintains identical behavior while reducing function execution time from 922μs to 165μs overall. The speedup is most pronounced in scenarios with frequent tuple-based file inputs, which appears to be the common use case based on the test distribution.

codeflash-ai bot requested a review from aseembits93 October 17, 2025 10:51

codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Oct 17, 2025

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⚡️ Speed up function `with_content_type` by 459%#27

⚡️ Speed up function `with_content_type` by 459%#27
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codeflash-ai bot commented Oct 17, 2025

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codeflash-ai bot commented Oct 17, 2025

📄 459% (4.59x) speedup for with_content_type in src/deepgram/core/file.py

📝 Explanation and details

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📄 459% (4.59x) speedup for `with_content_type` in `src/deepgram/core/file.py`