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⚡️ Speed up method Response.__bool__ by 145% #14

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@codeflash-ai codeflash-ai bot commented Dec 22, 2024

📄 145% (1.45x) speedup for Response.__bool__ in src/requests/models.py

⏱️ Runtime : 2.20 microseconds 900 nanoseconds (best of 110 runs)

📝 Explanation and details

Certainly! Here's an optimized version of your code. The optimizations mainly focus on improving the efficiency and avoiding unnecessary recalculations.

Optimizations.

  1. Use of __slots__: By defining __slots__, we allocate space for instance attributes at the class level, which can lead to memory optimization and potentially faster attribute access.
  2. Simplified Checks: Simplified the comparison checks within __nonzero__ and __bool__ methods.
  3. Avoid Unnecessary Attribute Setting: Directly set the _content_consumed and raw attributes instead of using setattr for better performance during state recovery in __setstate__.

These optimizations should make the code more efficient while maintaining the same functionality.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 29 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 1 Passed
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests Details
import datetime
import sys

# imports
import pytest  # used for our unit tests
from src.requests.cookies import cookiejar_from_dict
from src.requests.models import Response
from src.requests.structures import CaseInsensitiveDict

# unit tests

# Basic Functionality
def test_successful_response():
    response = Response()
    response.status_code = 200

def test_redirection_response():
    response = Response()
    response.status_code = 301

def test_client_error_response():
    response = Response()
    response.status_code = 404

def test_server_error_response():
    response = Response()
    response.status_code = 500

# Edge Cases
def test_uninitialized_status_code():
    response = Response()

def test_non_integer_status_code_string():
    response = Response()
    response.status_code = "200"
    with pytest.raises(TypeError):
        bool(response)


def test_boundary_value_399():
    response = Response()
    response.status_code = 399

def test_boundary_value_400():
    response = Response()
    response.status_code = 400

# Invalid Inputs
def test_negative_status_code():
    response = Response()
    response.status_code = -1

def test_extremely_high_status_code():
    response = Response()
    response.status_code = 1000

# State Dependency

def test_nonzero_method():
    response = Response()
    response.status_code = 200
    codeflash_output = response.__bool__()

# Large Scale Test Cases
def test_large_number_of_responses():
    responses = [Response() for _ in range(1000)]
    for i, response in enumerate(responses):
        response.status_code = i % 600  # Cycle through status codes

# Rare or Unexpected Edge Cases
def test_status_code_infinity():
    response = Response()
    response.status_code = float('inf')

def test_status_code_negative_infinity():
    response = Response()
    response.status_code = float('-inf')

def test_status_code_nan():
    response = Response()
    response.status_code = float('nan')

def test_status_code_true():
    response = Response()
    response.status_code = True

def test_status_code_false():
    response = Response()
    response.status_code = False

def test_minimum_integer_value():
    response = Response()
    response.status_code = -sys.maxsize - 1

def test_maximum_integer_value():
    response = Response()
    response.status_code = sys.maxsize

def test_status_code_as_list():
    response = Response()
    response.status_code = [200]
    with pytest.raises(TypeError):
        bool(response)

def test_status_code_as_dict():
    response = Response()
    response.status_code = {200: 'OK'}
    with pytest.raises(TypeError):
        bool(response)

def test_status_code_none_default():
    response = Response()

def test_status_code_none_after_setting():
    response = Response()
    response.status_code = 200
    response.status_code = None

class CustomStatusCode:
    def __init__(self, value):
        self.value = value
    def __int__(self):
        return self.value

def test_custom_object_with_int_method():
    response = Response()
    response.status_code = CustomStatusCode(200)

def test_custom_object_without_int_method():
    class CustomStatusCodeNoInt:
        def __init__(self, value):
            self.value = value

    response = Response()
    response.status_code = CustomStatusCodeNoInt('OK')
    with pytest.raises(TypeError):
        bool(response)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

import datetime
import pickle

# imports
import pytest  # used for our unit tests
from src.requests.cookies import cookiejar_from_dict
from src.requests.models import Response
from src.requests.structures import CaseInsensitiveDict

# unit tests

# Parametrized test cases for basic functionality and edge cases
@pytest.mark.parametrize("status_code, expected", [
    (200, True),  # Basic success case
    (201, True),  # Another success case
    (399, True),  # Boundary condition for success
    (400, False), # Boundary condition for failure
    (404, False), # Client error
    (500, False), # Server error
    (None, False),# Uninitialized status code
    ("200", False), # Invalid type: string
    (200.5, False), # Invalid type: float
    ([200], False), # Invalid type: list
])
def test_response_bool(status_code, expected):
    response = Response()
    response.status_code = status_code

# Test for high volume of Response objects
def test_response_bool_high_volume():
    responses = [Response() for _ in range(1000)]
    for response in responses:
        response.status_code = 200

# Test for edge cases with high volume
def test_response_bool_edge_cases():
    responses = [Response() for _ in range(1000)]
    for i, response in enumerate(responses):
        response.status_code = 399 if i % 2 == 0 else 400

# Test for context manager usage

def test_response_bool_after_pickling():
    response = Response()
    response.status_code = 200
    pickled_response = pickle.dumps(response)
    unpickled_response = pickle.loads(pickled_response)

# Test with mocking the 'ok' property


from src.requests.models import Response
import pytest

def test_Response___bool__():
    with pytest.raises(TypeError, match="'<='\\ not\\ supported\\ between\\ instances\\ of\\ 'int'\\ and\\ 'NoneType'"):
        Response.__bool__(Response())

📢 Feedback on this optimization? Discord

Certainly! Here's an optimized version of your code. The optimizations mainly focus on improving the efficiency and avoiding unnecessary recalculations.



### Optimizations.
1. **Use of `__slots__`**: By defining `__slots__`, we allocate space for instance attributes at the class level, which can lead to memory optimization and potentially faster attribute access.
2. **Simplified Checks**: Simplified the comparison checks within `__nonzero__` and `__bool__` methods.
3. **Avoid Unnecessary Attribute Setting**: Directly set the `_content_consumed` and `raw` attributes instead of using `setattr` for better performance during state recovery in `__setstate__`.
   
These optimizations should make the code more efficient while maintaining the same functionality.
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Dec 22, 2024
@codeflash-ai codeflash-ai bot requested a review from alvin-r December 22, 2024 14:05
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