⚡️ Speed up method Representation.__repr_args__ by 31%

[codeflash-ai]

📄 31% (0.31x) speedup for Representation.__repr_args__ in pydantic/_internal/_repr.py

⏱️ Runtime : 21.7 microseconds → 16.5 microseconds (best of 347 runs)

📝 Explanation and details

To optimize the Representation class method __repr_args__ for improved performance, we can make the following changes.

1. Avoid using intermediate lists.

   • Instead of using a generator to create a tuple and then converting it into a list, we can directly filter and create the list using a generator expression.

2. Use dictionary access more efficiently.

   • We use .items() method of the dictionary directly if __dict__ is available, instead of using .keys() and then getattr.

Here's the optimized code.

What was changed.

1. Efficient __slots__ check.

   • Check if __slots__ is empty and branch directly whether to use __dict__ or __slots__.

2. Dictionary Access Optimization.

   • Use self.__dict__.items() directly for name-value pairs, avoiding the need to get keys and fetch values individually.

By condensing list creation steps, we reduce overhead and unnecessary iterations, making the function more efficient.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 16 Passed
⏪ Replay Tests	🔘 None Found
🔎 Concolic Coverage Tests	🔘 None Found
📊 Tests Coverage	100.0%

🌀 Generated Regression Tests Details

import typing
from typing import Any

# imports
import pytest  # used for our unit tests
from pydantic._internal._repr import Representation

# unit tests

# Basic Functionality
def test_empty_class():
    class EmptyClass(Representation):
        __slots__ = ()
    instance = EmptyClass()
    codeflash_output = instance.__repr_args__()

def test_single_attribute_slots():
    class SingleAttr(Representation):
        __slots__ = ('attr',)
        def __init__(self, attr):
            self.attr = attr
    instance = SingleAttr('value')
    codeflash_output = instance.__repr_args__()

def test_single_attribute_dict():
    class SingleAttrDict(Representation):
        def __init__(self, attr):
            self.attr = attr
    instance = SingleAttrDict('value')
    codeflash_output = instance.__repr_args__()

# Multiple Attributes
def test_multiple_attributes_slots():
    class MultipleAttrs(Representation):
        __slots__ = ('attr1', 'attr2', 'attr3')
        def __init__(self, attr1, attr2, attr3):
            self.attr1 = attr1
            self.attr2 = attr2
            self.attr3 = attr3
    instance = MultipleAttrs('value1', 'value2', 'value3')
    codeflash_output = instance.__repr_args__()

def test_multiple_attributes_dict():
    class MultipleAttrsDict(Representation):
        def __init__(self, attr1, attr2, attr3):
            self.attr1 = attr1
            self.attr2 = attr2
            self.attr3 = attr3
    instance = MultipleAttrsDict('value1', 'value2', 'value3')
    codeflash_output = instance.__repr_args__()

# Inheritance
def test_single_inheritance():
    class Base(Representation):
        __slots__ = ('base_attr',)
        def __init__(self, base_attr):
            self.base_attr = base_attr
    class SubClass(Base):
        __slots__ = ('sub_attr',)
        def __init__(self, base_attr, sub_attr):
            super().__init__(base_attr)
            self.sub_attr = sub_attr
    instance = SubClass('base_value', 'sub_value')
    codeflash_output = instance.__repr_args__()

def test_multiple_inheritance():
    class Mixin:
        __slots__ = ('mixin_attr',)
        def __init__(self, mixin_attr):
            self.mixin_attr = mixin_attr
    class Combined(Representation, Mixin):
        __slots__ = ('combined_attr',)
        def __init__(self, mixin_attr, combined_attr):
            Mixin.__init__(self, mixin_attr)
            self.combined_attr = combined_attr
    instance = Combined('mixin_value', 'combined_value')
    codeflash_output = instance.__repr_args__()

# Edge Cases
def test_special_characters():
    class SpecialChars(Representation):
        __slots__ = ('attr_with_space', 'attr_with_special_char')
        def __init__(self, attr_with_space, attr_with_special_char):
            self.attr_with_space = attr_with_space
            self.attr_with_special_char = attr_with_special_char
    instance = SpecialChars('value with space', 'value_with_special_char@!')
    codeflash_output = instance.__repr_args__()

def test_non_string_values():
    class NonStringValues(Representation):
        __slots__ = ('int_attr', 'list_attr', 'dict_attr')
        def __init__(self, int_attr, list_attr, dict_attr):
            self.int_attr = int_attr
            self.list_attr = list_attr
            self.dict_attr = dict_attr
    instance = NonStringValues(123, [1, 2, 3], {'key': 'value'})
    codeflash_output = instance.__repr_args__()

# Performance and Scalability
def test_large_number_of_attributes():
    class LargeNumberOfAttrs(Representation):
        __slots__ = [f'attr{i}' for i in range(100)]
        def __init__(self):
            for i in range(100):
                setattr(self, f'attr{i}', f'value{i}')
    instance = LargeNumberOfAttrs()
    expected = [(f'attr{i}', f'value{i}') for i in range(100)]
    codeflash_output = instance.__repr_args__()

def test_large_data_structures():
    class LargeDataStructures(Representation):
        __slots__ = ('large_list', 'large_dict')
        def __init__(self, large_list, large_dict):
            self.large_list = large_list
            self.large_dict = large_dict
    large_list = list(range(1000))
    large_dict = {f'key{i}': f'value{i}' for i in range(1000)}
    instance = LargeDataStructures(large_list, large_dict)
    codeflash_output = instance.__repr_args__()

# Pretty Printing and Rich Representation
def test_pretty_printing():
    class PrettyPrintTest(Representation):
        __slots__ = ('attr1', 'attr2')
        def __init__(self, attr1, attr2):
            self.attr1 = attr1
            self.attr2 = attr2
    instance = PrettyPrintTest('value1', 'value2')
    fmt = lambda x: f'formatted_{x}'
    pretty_output = list(instance.__pretty__(fmt))
    expected_output = [
        'PrettyPrintTest(', 1, 'attr1=', 'formatted_value1', ',', 0,
        'attr2=', 'formatted_value2', ',', 0, -1, ')'
    ]

def test_rich_repr():
    class RichReprTest(Representation):
        __slots__ = ('attr1', 'attr2')
        def __init__(self, attr1, attr2):
            self.attr1 = attr1
            self.attr2 = attr2
    instance = RichReprTest('value1', 'value2')
    rich_output = list(instance.__rich_repr__())
    expected_output = [('attr1', 'value1'), ('attr2', 'value2')]

# Deterministic Behavior
def test_consistent_output():
    class ConsistentOutput(Representation):
        __slots__ = ('attr1', 'attr2')
        def __init__(self, attr1, attr2):
            self.attr1 = attr1
            self.attr2 = attr2
    instance = ConsistentOutput('value1', 'value2')

# Error Handling
def test_invalid_attribute_names():
    class InvalidAttrNames(Representation):
        __slots__ = ('__repr__', '__str__')
        def __init__(self, repr_value, str_value):
            self.__repr__ = repr_value
            self.__str__ = str_value
    instance = InvalidAttrNames('repr_value', 'str_value')
    codeflash_output = instance.__repr_args__()


def test_custom_repr_args():
    class CustomReprArgs(Representation):
        __slots__ = ('attr1', 'attr2', 'attr3')
        def __init__(self, attr1, attr2, attr3):
            self.attr1 = attr1
            self.attr2 = attr2
            self.attr3 = attr3
        def __repr_args__(self):
            return [('custom_attr1', self.attr1), ('custom_attr2', self.attr2)]
    instance = CustomReprArgs('value1', 'value2', 'value3')
    codeflash_output = instance.__repr_args__()

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