⚡️ Speed up method CaseInsensitiveDict.__repr__ by 143%

[codeflash-ai]

📄 143% (1.43x) speedup for CaseInsensitiveDict.__repr__ in src/requests/structures.py

⏱️ Runtime : 7.30 microseconds → 3.00 microseconds (best of 193 runs)

📝 Explanation and details

Here is the optimized version of your Python program.

Optimizations Done.

1. Removed unnecessary use of OrderedDict: This is replaced with a simple dictionary as order preservation isn't necessary for your CaseInsensitiveDict.
2. Simplified logic in comparison and iteration:
   • Method lower_items is added to avoid repeated lower-casing in the __eq__ method.
   • Simplified __repr__ implementation to be more efficient by directly creating the dictionary from stored items.
3. Updated import:
   • Used MutableMapping directly from collections.abc to keep it more consistent with standard collections.

This should give you a more efficient implementation both in terms of speed and memory usage by leveraging simpler internal data structures and reducing the number of operations where possible.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 18 Passed
⏪ Replay Tests	🔘 None Found
🔎 Concolic Coverage Tests	✅ 1 Passed
📊 Tests Coverage	100.0%

🌀 Generated Regression Tests Details

from collections import OrderedDict

# imports
import pytest  # used for our unit tests
from src.requests.compat import Mapping, MutableMapping
from src.requests.structures import CaseInsensitiveDict

# unit tests

def test_basic_insertion_and_repr():
    # Test basic insertion and __repr__ output
    d = CaseInsensitiveDict({'Key': 'value'})

def test_case_insensitive_key_access_repr():
    # Test case-insensitive key access and __repr__ output
    d = CaseInsensitiveDict({'Key': 'value'})
    d['key'] = 'new_value'

def test_multiple_key_value_pairs_repr():
    # Test multiple key-value pairs and __repr__ output
    d = CaseInsensitiveDict({'Key1': 'value1', 'Key2': 'value2'})

def test_deletion_of_keys_repr():
    # Test deletion of keys and __repr__ output
    d = CaseInsensitiveDict({'Key1': 'value1', 'Key2': 'value2'})
    del d['Key1']

def test_iteration_over_keys_repr():
    # Test iteration over keys and __repr__ output
    d = CaseInsensitiveDict({'Key1': 'value1', 'Key2': 'value2'})
    keys = list(d)

def test_length_of_dictionary_repr():
    # Test length of dictionary and __repr__ output
    d = CaseInsensitiveDict({'Key1': 'value1', 'Key2': 'value2'})
    del d['Key1']

def test_equality_comparison_repr():
    # Test equality comparison and __repr__ output
    d1 = CaseInsensitiveDict({'Key': 'value'})
    d2 = CaseInsensitiveDict({'key': 'value'})

def test_empty_dictionary_repr():
    # Test empty dictionary and __repr__ output
    d = CaseInsensitiveDict()


def test_special_characters_in_keys_repr():
    # Test special characters in keys and __repr__ output
    d = CaseInsensitiveDict({'Key With Spaces': 'value'})

def test_large_scale_performance_repr():
    # Test performance with large data samples and __repr__ output
    d = CaseInsensitiveDict({f'key{i}': f'value{i}' for i in range(1000)})
    # Check that the __repr__ output is correct for a large dictionary
    expected_repr = str({f'key{i}': f'value{i}' for i in range(1000)})
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

from collections import OrderedDict

# imports
import pytest  # used for our unit tests
from src.requests.compat import Mapping, MutableMapping
from src.requests.structures import CaseInsensitiveDict

# unit tests

def test_repr_basic():
    # Basic Test Case: Single key-value pair
    d = CaseInsensitiveDict({'Key': 'value'})

def test_repr_multiple_items():
    # Basic Test Case: Multiple key-value pairs
    d = CaseInsensitiveDict({'Key1': 'value1', 'Key2': 'value2'})

def test_repr_empty_dict():
    # Edge Test Case: Empty dictionary
    d = CaseInsensitiveDict()

def test_repr_case_insensitivity():
    # Edge Test Case: Case insensitivity
    d = CaseInsensitiveDict({'Key': 'value', 'kEy': 'newValue'})

def test_repr_update():
    # Edge Test Case: Updating values
    d = CaseInsensitiveDict({'Key': 'value'})
    d['key'] = 'newValue'

def test_repr_empty_key():
    # Edge Test Case: Empty key
    d = CaseInsensitiveDict({'': 'value'})


def test_repr_large_scale():
    # Large Scale Test Case: Many key-value pairs
    d = CaseInsensitiveDict({f'key{i}': f'value{i}' for i in range(1000)})
    expected_repr = "{" + ", ".join([f"'key{i}': 'value{i}'" for i in range(1000)]) + "}"

def test_repr_large_scale_updates():
    # Large Scale Test Case: Many updates
    d = CaseInsensitiveDict()
    for i in range(1000):
        d.update({f'key{i}': f'value{i}'})
    expected_repr = "{" + ", ".join([f"'key{i}': 'value{i}'" for i in range(1000)]) + "}"
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

from src.requests.structures import CaseInsensitiveDict

def test_CaseInsensitiveDict___repr__():
    assert CaseInsensitiveDict.__repr__(CaseInsensitiveDict(data='')) == '{}'

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