⚡️ Speed up method PayloadRef.__repr__ by 25%

[codeflash-ai]

📄 25% (0.25x) speedup for PayloadRef.__repr__ in sentry_sdk/envelope.py

⏱️ Runtime : 1.87 microsecondss → 1.50 microseconds (best of 236 runs)

📝 Explanation and details

The optimization replaces Python's old-style % string formatting with f-string formatting in the __repr__ method.

Key change:

• "<Payload %r>" % (self.inferred_content_type,) → f"<Payload {self.inferred_content_type!r}>"

Why it's faster:

1. Tuple creation overhead: The % operator forces Python to create a tuple (self.inferred_content_type,) even for a single value, adding allocation and reference counting overhead.
2. f-string efficiency: F-strings are compiled directly into optimized bytecode that avoids intermediate tuple creation and uses faster formatting operations.
3. Expression evaluation: F-strings evaluate expressions inline rather than going through the slower formatting protocol that % requires.

Performance characteristics:
The 24% speedup is most pronounced for frequent __repr__ calls, as evidenced by the test cases covering various PayloadRef configurations. The optimization provides consistent benefits across all scenarios - from simple single-attribute objects to complex cases with large JSON/bytes data, since the formatting overhead is independent of the actual content being represented.

The !r conversion specifier in the f-string preserves the exact same repr() behavior as the original %r format specifier.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 1355 Passed
⏪ Replay Tests	🔘 None Found
🔎 Concolic Coverage Tests	✅ 2 Passed
📊 Tests Coverage	100.0%

🌀 Generated Regression Tests and Runtime

import pytest  # used for our unit tests
from sentry_sdk.envelope import PayloadRef

# unit tests

# ----------- BASIC TEST CASES -----------

def test_repr_with_json():
    # Should infer application/json if json is set
    obj = PayloadRef(json={"key": "value"})

def test_repr_with_bytes():
    # Should infer application/octet-stream if bytes is set
    obj = PayloadRef(bytes=b"abc")

def test_repr_with_path_txt():
    # Should infer text/plain from .txt file path
    obj = PayloadRef(path="file.txt")

def test_repr_with_path_json():
    # Should infer application/json from .json file path
    obj = PayloadRef(path="data.json")

def test_repr_with_path_bin():
    # Should infer application/octet-stream from .bin file path
    obj = PayloadRef(path="image.bin")

def test_repr_with_path_csv():
    # Should infer text/csv from .csv file path
    obj = PayloadRef(path="table.csv")

def test_repr_with_path_xml():
    # Should infer application/xml from .xml file path
    obj = PayloadRef(path="doc.xml")

def test_repr_with_path_unknown_extension():
    # Should infer unknown from unknown file extension
    obj = PayloadRef(path="file.unknown")

def test_repr_with_path_no_extension():
    # Should infer unknown from file with no extension
    obj = PayloadRef(path="file")

def test_repr_with_none():
    # Should infer unknown if all attributes are None
    obj = PayloadRef()

# ----------- EDGE TEST CASES -----------

def test_repr_with_path_bytes_utf8():
    # Should decode bytes path and infer content type
    obj = PayloadRef(path=b"file.txt")

def test_repr_with_path_bytes_non_utf8():
    # Should not decode non-UTF8 bytes, should return 'unknown'
    obj = PayloadRef(path=b"\xff\xfe\xfd")

def test_repr_with_path_empty_string():
    # Should handle empty string path gracefully
    obj = PayloadRef(path="")

def test_repr_with_path_empty_bytes():
    # Should handle empty bytes path gracefully
    obj = PayloadRef(path=b"")

def test_repr_with_json_and_bytes():
    # Should prefer json over bytes if both are set
    obj = PayloadRef(json={"key": "value"}, bytes=b"abc")

def test_repr_with_bytes_and_path():
    # Should prefer bytes over path if both are set
    obj = PayloadRef(bytes=b"abc", path="file.txt")

def test_repr_with_json_and_path():
    # Should prefer json over path if both are set
    obj = PayloadRef(json={"key": "value"}, path="file.txt")

def test_repr_with_all_attributes():
    # Should prefer json over bytes and path if all are set
    obj = PayloadRef(json={"key": "value"}, bytes=b"abc", path="file.txt")

def test_repr_with_path_strange_characters():
    # Should handle path with strange unicode characters
    obj = PayloadRef(path="stränge💥.txt")

def test_repr_with_path_dotfile():
    # Should handle dotfiles (e.g. '.env')
    obj = PayloadRef(path=".env")

def test_repr_with_path_leading_dot_extension():
    # Should handle files like 'file..txt'
    obj = PayloadRef(path="file..txt")

def test_repr_with_path_uppercase_extension():
    # Should handle uppercase file extensions
    obj = PayloadRef(path="FILE.TXT")

def test_repr_with_path_mixed_case_extension():
    # Should handle mixed case extensions
    obj = PayloadRef(path="data.JsOn")

def test_repr_with_path_spaces():
    # Should handle file names with spaces
    obj = PayloadRef(path="my file.txt")

def test_repr_with_path_only_extension():
    # Should handle path like '.txt'
    obj = PayloadRef(path=".txt")

def test_repr_with_path_multiple_dots():
    # Should handle path with multiple dots
    obj = PayloadRef(path="archive.tar.gz")

def test_repr_with_path_long_extension():
    # Should handle path with long extension
    obj = PayloadRef(path="file.verylongextension")

def test_repr_with_path_non_string():
    # Should handle path as integer (should fallback to str and be unknown)
    obj = PayloadRef(path=12345)

# ----------- LARGE SCALE TEST CASES -----------

def test_repr_large_json():
    # Should handle large JSON object
    large_json = {str(i): i for i in range(1000)}
    obj = PayloadRef(json=large_json)

def test_repr_large_bytes():
    # Should handle large bytes object
    large_bytes = b"a" * 1000
    obj = PayloadRef(bytes=large_bytes)

def test_repr_large_path_txt():
    # Should handle long file path ending with .txt
    long_path = "a" * 990 + ".txt"
    obj = PayloadRef(path=long_path)

def test_repr_many_instances_different_types():
    # Create many instances with different types and check their reprs
    for i in range(100):
        obj_json = PayloadRef(json={"i": i})
        obj_bytes = PayloadRef(bytes=bytes([i]))
        obj_path = PayloadRef(path=f"file_{i}.txt")

def test_repr_large_path_unknown():
    # Should handle long file path with unknown extension
    long_path = "a" * 990 + ".abc"
    obj = PayloadRef(path=long_path)

def test_repr_large_path_empty():
    # Should handle large empty path (all spaces)
    obj = PayloadRef(path=" " * 1000)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
import pytest  # used for our unit tests
from sentry_sdk.envelope import PayloadRef

# unit tests

# 1. Basic Test Cases

def test_repr_with_json():
    # Test __repr__ when json is provided
    obj = PayloadRef(json={"a": 1})

def test_repr_with_bytes():
    # Test __repr__ when bytes is provided
    obj = PayloadRef(bytes=b"abc")

def test_repr_with_path_str():
    # Test __repr__ when path is provided as a string
    obj = PayloadRef(path="file.txt")

def test_repr_with_path_bytes():
    # Test __repr__ when path is provided as bytes
    obj = PayloadRef(path=b"file.txt")

def test_repr_with_no_args():
    # Test __repr__ when no arguments are provided
    obj = PayloadRef()

# 2. Edge Test Cases

def test_repr_with_empty_bytes():
    # Test __repr__ with empty bytes
    obj = PayloadRef(bytes=b"")

def test_repr_with_empty_path_str():
    # Test __repr__ with empty string path
    obj = PayloadRef(path="")

def test_repr_with_empty_path_bytes():
    # Test __repr__ with empty bytes path
    obj = PayloadRef(path=b"")

def test_repr_with_empty_json_dict():
    # Test __repr__ with empty dict for json
    obj = PayloadRef(json={})

def test_repr_with_empty_json_list():
    # Test __repr__ with empty list for json
    obj = PayloadRef(json=[])

def test_repr_with_json_none_and_bytes_none_and_path_none():
    # Test __repr__ when all arguments are None explicitly
    obj = PayloadRef(json=None, bytes=None, path=None)

def test_repr_with_multiple_args_json_and_bytes():
    # Test __repr__ when both json and bytes are provided (json takes precedence)
    obj = PayloadRef(json={"a": 1}, bytes=b"abc")

def test_repr_with_multiple_args_bytes_and_path():
    # Test __repr__ when both bytes and path are provided (bytes takes precedence)
    obj = PayloadRef(bytes=b"abc", path="file.txt")

def test_repr_with_multiple_args_path_and_json():
    # Test __repr__ when both path and json are provided (json takes precedence)
    obj = PayloadRef(path="file.txt", json={"a": 1})

def test_repr_with_nonstandard_json_type():
    # Test __repr__ with a nonstandard type for json (e.g., int)
    obj = PayloadRef(json=42)

def test_repr_with_path_as_int():
    # Test __repr__ with an int as path (should treat as file)
    obj = PayloadRef(path=123)

def test_repr_with_bytes_as_non_bytes_type():
    # Test __repr__ with bytes as a non-bytes type (should ignore and fall back)
    obj = PayloadRef(bytes=None)

# 3. Large Scale Test Cases

def test_repr_with_large_json():
    # Test __repr__ with a large JSON object
    large_dict = {str(i): i for i in range(1000)}
    obj = PayloadRef(json=large_dict)

def test_repr_with_large_bytes():
    # Test __repr__ with a large bytes object
    large_bytes = b"a" * 1000
    obj = PayloadRef(bytes=large_bytes)

def test_repr_with_large_path_str():
    # Test __repr__ with a large string as path
    large_path = "a" * 1000
    obj = PayloadRef(path=large_path)

def test_repr_with_large_path_bytes():
    # Test __repr__ with a large bytes object as path
    large_path_bytes = b"a" * 1000
    obj = PayloadRef(path=large_path_bytes)

def test_repr_with_all_large_args():
    # Test __repr__ with all large arguments provided (json takes precedence)
    large_dict = {str(i): i for i in range(1000)}
    large_bytes = b"a" * 1000
    large_path = "a" * 1000
    obj = PayloadRef(json=large_dict, bytes=large_bytes, path=large_path)

def test_repr_with_large_number_of_instances():
    # Create many PayloadRef instances and check their repr for performance
    instances = [PayloadRef(json={"i": i}) for i in range(1000)]
    for i, obj in enumerate(instances):
        pass
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
from sentry_sdk.envelope import PayloadRef

def test_PayloadRef___repr__():
    PayloadRef.__repr__(PayloadRef(bytes='', path='', json=''))

🔎 Concolic Coverage Tests and Runtime

Test File::Test Function	Original ⏱️	Optimized ⏱️	Speedup
codeflash_concolic_j2vbhl1v/tmpq3edu2bt/test_concolic_coverage.py::test_PayloadRef___repr__	1.87μs	1.50μs	24.9%✅

To edit these changes git checkout codeflash/optimize-PayloadRef.__repr__-mg9tmlif and push.