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⚡️ Speed up method Context.with_resource by 5% #28

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@codeflash-ai codeflash-ai bot commented Dec 19, 2024

📄 5% (0.05x) speedup for Context.with_resource in src/click/core.py

⏱️ Runtime : 2.13 milliseconds 2.02 milliseconds (best of 11 runs)

📝 Explanation and details

You have a Python program with a class Context that seems to handle various configuration details for a given command. Although the configuration of the class looks well-structured, certain improvements can be made to optimize the runtime and memory footprint. Here is the optimized version of your script.

This optimized script simplifies the initialization process by using dictionaries to handle common parent attribute checks more concisely. I also broke out the initialization logic for default_map and auto_envvar_prefix into separate helper methods to avoid code repetition and improve readability. Repeated attribute assignment for similar conditions has been consolidated to avoid redundant code execution.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 20 Passed
🌀 Generated Regression Tests 1008 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
⚙️ Existing Unit Tests Details
- test_context.py
🌀 Generated Regression Tests Details
from __future__ import annotations

import collections.abc as cabc
import typing as t
from contextlib import AbstractContextManager, ExitStack
from types import TracebackType
from unittest.mock import MagicMock, Mock, call

# Integration with Click
import click
# imports
import pytest  # used for our unit tests
from click.testing import CliRunner
from src.click.core import Context
from src.click.globals import pop_context, push_context

V = t.TypeVar("V")

class Command:
    allow_extra_args = True
    allow_interspersed_args = True
    ignore_unknown_options = True
from src.click.core import Context

# unit tests

# Mock context manager for testing
class MockContextManager(AbstractContextManager):
    def __init__(self):
        self.entered = False
        self.exited = False

    def __enter__(self):
        self.entered = True
        return self

    def __exit__(self, exc_type, exc_value, traceback):
        self.exited = True

# Basic Functionality

def test_multiple_nested_context_managers():
    ctx = Context(command=Command())
    with ctx:
        codeflash_output = ctx.with_resource(MockContextManager())
        codeflash_output = ctx.with_resource(MockContextManager())

# Edge Cases

def test_resource_cleanup_verification():
    ctx = Context(command=Command())
    mock_cm = MockContextManager()
    with ctx:
        ctx.with_resource(mock_cm)

# Large Scale Test Cases
def test_performance_many_context_managers():
    ctx = Context(command=Command())
    with ctx:
        for _ in range(1000):
            ctx.with_resource(MockContextManager())
    # Ensure all resources are cleaned up
    for resource in ctx._exit_stack._exit_callbacks:
        pass


@click.command()
@click.pass_context
def cli(ctx):
    ctx.with_resource(MockContextManager())
    click.echo('Command executed')

def test_click_integration():
    runner = CliRunner()
    result = runner.invoke(cli, [])

# Miscellaneous
def test_context_manager_with_side_effects():
    global_state = {'value': 0}

    class SideEffectContextManager(AbstractContextManager):
        def __enter__(self):
            global_state['value'] += 1
            return self

        def __exit__(self, exc_type, exc_value, traceback):
            global_state['value'] -= 1

    ctx = Context(command=Command())
    with ctx:
        ctx.with_resource(SideEffectContextManager())
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

from __future__ import annotations

import collections.abc as cabc
import typing as t
from contextlib import AbstractContextManager, ExitStack, contextmanager
from types import TracebackType
from unittest.mock import MagicMock

# imports
import pytest  # used for our unit tests
from src.click.core import Context
from src.click.globals import pop_context, push_context

V = t.TypeVar("V")
from src.click.core import Context

# unit tests

# Basic functionality: Single simple context manager
@contextmanager
def simple_context_manager():
    yield "resource"


def nested_context_manager_1():
    yield "resource1"

@contextmanager
def nested_context_manager_2():
    yield "resource2"


def context_manager_with_return_value():
    yield {"key": "value"}


def failing_context_manager_enter():
    raise ValueError("Enter failed")
    yield


def failing_context_manager_exit():
    yield
    raise ValueError("Exit failed")





def simple_cm():
    yield


def cleanup():
    pass





from src.click.core import Context

📢 Feedback on this optimization? Discord

You have a Python program with a class `Context` that seems to handle various configuration details for a given command. Although the configuration of the class looks well-structured, certain improvements can be made to optimize the runtime and memory footprint. Here is the optimized version of your script.



This optimized script simplifies the initialization process by using dictionaries to handle common parent attribute checks more concisely. I also broke out the initialization logic for `default_map` and `auto_envvar_prefix` into separate helper methods to avoid code repetition and improve readability. Repeated attribute assignment for similar conditions has been consolidated to avoid redundant code execution.
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Dec 19, 2024
@codeflash-ai codeflash-ai bot requested a review from alvin-r December 19, 2024 23:14
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