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@codeflash-ai codeflash-ai bot commented Jun 15, 2024

📄 _init_argument() in sentry_sdk/integrations/stdlib.py

📈 Performance improved by 16% (0.16x faster)

⏱️ Runtime went down from 5.70 microseconds to 4.90 microseconds

Explanation and details

To optimize the given Python function, we need to minimize redundant checks and operations while maintaining the original logic and return value. Here's an optimized version of the program.

Key Optimizations.

  1. Avoid Redundancy: Removed redundant assignments and simplified conditions.
  2. Early Return: Used early return statements to avoid unnecessary processing.
  3. Combined Conditions: Combined conditions to minimize the number of checks and operations.

This should result in a marginally faster execution, especially for functions frequently called with complex or large args and kwargs.

Correctness verification

The new optimized code was tested for correctness. The results are listed below.

🔘 (none found) − ⚙️ Existing Unit Tests

✅ 17 Passed − 🌀 Generated Regression Tests

(click to show generated tests)
# imports
import pytest  # used for our unit tests
from sentry_sdk.integrations.stdlib import _init_argument

# unit tests

def test_basic_retrieval_from_kwargs():
    # Argument is present in kwargs
    args = []
    kwargs = {'name': 'value'}
    assert _init_argument(args, kwargs, 'name', 0) == 'value'

def test_basic_retrieval_from_args():
    # Argument is present in args at the specified position
    args = ['value']
    kwargs = {}
    assert _init_argument(args, kwargs, 'name', 0) == 'value'

def test_setdefault_callback_modifies_value():
    # setdefault_callback modifies the retrieved value
    args = []
    kwargs = {'name': 'value'}
    assert _init_argument(args, kwargs, 'name', 0, lambda x: x.upper()) == 'VALUE'

def test_setdefault_callback_sets_default_value():
    # setdefault_callback sets a default value when the argument is not found
    args = []
    kwargs = {}
    assert _init_argument(args, kwargs, 'name', 0, lambda x: 'default') == 'default'

def test_name_empty_string():
    # name is an empty string
    args = []
    kwargs = {'': 'value'}
    assert _init_argument(args, kwargs, '', 0) == 'value'

def test_position_out_of_bounds():
    # position is out of bounds of args
    args = ['value']
    kwargs = {}
    assert _init_argument(args, kwargs, 'name', 2) is None

def test_both_args_and_kwargs_empty():
    # Both args and kwargs are empty
    args = []
    kwargs = {}
    assert _init_argument(args, kwargs, 'name', 0) is None

def test_argument_in_both_args_and_kwargs():
    # Argument is present in both args and kwargs
    args = ['value1']
    kwargs = {'name': 'value2'}
    assert _init_argument(args, kwargs, 'name', 0) == 'value2'

def test_setdefault_callback_returns_none():
    # setdefault_callback returns None
    args = []
    kwargs = {'name': 'value'}
    assert _init_argument(args, kwargs, 'name', 0, lambda x: None) is None

def test_setdefault_callback_raises_exception():
    # setdefault_callback raises an exception
    args = []
    kwargs = {'name': 'value'}
    with pytest.raises(ZeroDivisionError):
        _init_argument(args, kwargs, 'name', 0, lambda x: 1/0)

def test_large_number_of_args_and_kwargs():
    # Large number of args and kwargs
    args = [i for i in range(1000)]
    kwargs = {f'key{i}': i for i in range(1000)}
    assert _init_argument(args, kwargs, 'key999', 999) == 999

def test_deterministic_behavior():
    # Ensure the function returns the same result for the same inputs
    args = ['value']
    kwargs = {'name': 'value'}
    assert _init_argument(args, kwargs, 'name', 0, lambda x: x.upper()) == 'VALUE'

def test_non_string_keys_in_kwargs():
    # kwargs contains non-string keys
    args = []
    kwargs = {123: 'value'}
    assert _init_argument(args, kwargs, 123, 0) == 'value'

def test_nested_data_structures():
    # args or kwargs contain nested data structures
    args = [[1, 2, 3]]
    kwargs = {}
    assert _init_argument(args, kwargs, 'name', 0) == [1, 2, 3]

def test_empty_string_and_zero_values():
    # name is an empty string and position is zero
    args = ['value']
    kwargs = {'': 'value'}
    assert _init_argument(args, kwargs, '', 0) == 'value'

def test_callback_alters_input_arguments():
    # setdefault_callback modifies the input arguments directly
    args = ['value']
    kwargs = {}
    def callback(x):
        args.append('new_value')
        return x
    _init_argument(args, kwargs, 'name', 0, callback)
    assert 'new_value' in args

def test_callback_returns_unexpected_types():
    # setdefault_callback returns a different type than expected
    args = ['value']
    kwargs = {}
    assert _init_argument(args, kwargs, 'name', 0, lambda x: 123) == 123

def test_recursive_callback():
    # setdefault_callback calls _init_argument recursively
    args = []
    kwargs = {'name': 'value'}
    def callback(x):
        return _init_argument(args, kwargs, 'name', 0)
    assert _init_argument(args, kwargs, 'name', 0, callback) == 'value'

🔘 (none found) − ⏪ Replay Tests

To optimize the given Python function, we need to minimize redundant checks and operations while maintaining the original logic and return value. Here's an optimized version of the program.



### Key Optimizations.
1. **Avoid Redundancy:** Removed redundant assignments and simplified conditions.
2. **Early Return:** Used early return statements to avoid unnecessary processing.
3. **Combined Conditions:** Combined conditions to minimize the number of checks and operations.

This should result in a marginally faster execution, especially for functions frequently called with complex or large `args` and `kwargs`.
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Jun 15, 2024
@codeflash-ai codeflash-ai bot requested a review from misrasaurabh1 June 15, 2024 02:47
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