Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

⚡️ Speed up method _NumberRangeBase._describe_range by 5% #33

Open
wants to merge 1 commit into
base: main
Choose a base branch
from

Conversation

codeflash-ai[bot]
Copy link

@codeflash-ai codeflash-ai bot commented Dec 20, 2024

📄 5% (0.05x) speedup for _NumberRangeBase._describe_range in src/click/types.py

⏱️ Runtime : 83.9 microseconds 79.9 microseconds (best of 50 runs)

📝 Explanation and details

To optimize this program for faster execution, we can implement the following changes.

  1. Use is for None checks since it is slightly faster than ==.
  2. Use an f-string directly in the _describe_range method instead of storing the result in intermediate variables.
  3. We will go ahead and refactor parts of the code to ensure the method calls and attribute accesses are minimized.

Here's the optimized version of the program.

Explanation of Changes.

  1. init method: No change necessary since it already seems optimal.
  2. repr method: Directly integrated the clamp check within the f-string.
  3. _describe_range method: Combined f-strings to directly return the result, avoiding intermediate variables and reducing the number of operations. Used is for None comparisons, which are faster.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 25 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 6 Passed
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests Details
from __future__ import annotations

# imports
import pytest  # used for our unit tests
from src.click.types import _NumberRangeBase

# unit tests

# Basic Functionality
def test_no_min_no_max():
    range_obj = _NumberRangeBase()
    codeflash_output = range_obj._describe_range()

def test_only_min():
    range_obj = _NumberRangeBase(min=0)
    codeflash_output = range_obj._describe_range()

def test_only_max():
    range_obj = _NumberRangeBase(max=10)
    codeflash_output = range_obj._describe_range()

def test_min_and_max():
    range_obj = _NumberRangeBase(min=0, max=10)
    codeflash_output = range_obj._describe_range()

# Open and Closed Boundaries
def test_open_min_boundary():
    range_obj = _NumberRangeBase(min=0, max=10, min_open=True)
    codeflash_output = range_obj._describe_range()

def test_open_max_boundary():
    range_obj = _NumberRangeBase(min=0, max=10, max_open=True)
    codeflash_output = range_obj._describe_range()

def test_both_boundaries_open():
    range_obj = _NumberRangeBase(min=0, max=10, min_open=True, max_open=True)
    codeflash_output = range_obj._describe_range()

# Clamping Behavior
def test_clamping_enabled():
    range_obj = _NumberRangeBase(min=0, max=10, clamp=True)

def test_clamping_disabled():
    range_obj = _NumberRangeBase(min=0, max=10, clamp=False)

# Edge Cases
def test_min_equals_max():
    range_obj = _NumberRangeBase(min=0, max=0)
    codeflash_output = range_obj._describe_range()

def test_min_greater_than_max():
    range_obj = _NumberRangeBase(min=10, max=0)
    codeflash_output = range_obj._describe_range()

def test_negative_ranges():
    range_obj = _NumberRangeBase(min=-10, max=-1)
    codeflash_output = range_obj._describe_range()

def test_floating_point_values():
    range_obj = _NumberRangeBase(min=0.5, max=10.5)
    codeflash_output = range_obj._describe_range()

# Large Scale Test Cases
def test_large_range_values():
    range_obj = _NumberRangeBase(min=-1e10, max=1e10)
    codeflash_output = range_obj._describe_range()

def test_small_range_values():
    range_obj = _NumberRangeBase(min=-1e-10, max=1e-10)
    codeflash_output = range_obj._describe_range()

# Rare or Unexpected Edge Cases
def test_very_large_floating_point_values():
    range_obj = _NumberRangeBase(min=1e308, max=1e308)
    codeflash_output = range_obj._describe_range()

def test_very_small_floating_point_values():
    range_obj = _NumberRangeBase(min=1e-308, max=1e-308)
    codeflash_output = range_obj._describe_range()

def test_boundary_values_near_zero():
    range_obj = _NumberRangeBase(min=-1e-10, max=1e-10)
    codeflash_output = range_obj._describe_range()



def test_special_floating_point_values_infinity():
    range_obj = _NumberRangeBase(min=float('-inf'), max=float('inf'))
    codeflash_output = range_obj._describe_range()

def test_special_floating_point_values_nan():
    range_obj = _NumberRangeBase(min=0, max=float('nan'))
    codeflash_output = range_obj._describe_range()

def test_mixed_types_integer_and_float():
    range_obj = _NumberRangeBase(min=0, max=10.5)
    codeflash_output = range_obj._describe_range()

def test_unusual_combinations_open_boundaries_equal_min_max():
    range_obj = _NumberRangeBase(min=10, max=10, min_open=True, max_open=True)
    codeflash_output = range_obj._describe_range()

def test_clamping_with_equal_min_max():
    range_obj = _NumberRangeBase(min=10, max=10, clamp=True)

def test_clamping_with_open_boundaries():
    range_obj = _NumberRangeBase(min=0, max=10, min_open=True, max_open=True, clamp=True)

def test_clamping_with_negative_range():
    range_obj = _NumberRangeBase(min=-10, max=-5, clamp=True)
# 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

# imports
import pytest  # used for our unit tests
from src.click.types import _NumberRangeBase


# unit tests







from src.click.types import _NumberRangeBase

def test__NumberRangeBase__describe_range():
    assert _NumberRangeBase._describe_range(_NumberRangeBase(min=0.0, max=0.0, min_open=True, max_open=True, clamp=False)) == '0.0<x<0.0'

def test__NumberRangeBase__describe_range_2():
    assert _NumberRangeBase._describe_range(_NumberRangeBase(min=None, max=None, min_open=False, max_open=True, clamp=False)) == 'x<None'

def test__NumberRangeBase__describe_range_3():
    assert _NumberRangeBase._describe_range(_NumberRangeBase(min=0.0, max=None, min_open=True, max_open=False, clamp=False)) == 'x>0.0'

def test__NumberRangeBase__describe_range_4():
    assert _NumberRangeBase._describe_range(_NumberRangeBase(min=0.0, max=float("inf"), min_open=False, max_open=False, clamp=False)) == '0.0<=x<=inf'

def test__NumberRangeBase__describe_range_5():
    assert _NumberRangeBase._describe_range(_NumberRangeBase(min=None, max=None, min_open=False, max_open=False, clamp=False)) == 'x<=None'

def test__NumberRangeBase__describe_range_6():
    assert _NumberRangeBase._describe_range(_NumberRangeBase(min=0.0, max=None, min_open=False, max_open=True, clamp=False)) == 'x>=0.0'

📢 Feedback on this optimization? Discord

To optimize this program for faster execution, we can implement the following changes.

1. Use `is` for `None` checks since it is slightly faster than `==`.
2. Use an f-string directly in the `_describe_range` method instead of storing the result in intermediate variables.
3. We will go ahead and refactor parts of the code to ensure the method calls and attribute accesses are minimized.

Here's the optimized version of the program.



### Explanation of Changes.
1. **__init__ method:** No change necessary since it already seems optimal.
2. **__repr__ method:** Directly integrated the clamp check within the f-string.
3. **_describe_range method:** Combined f-strings to directly return the result, avoiding intermediate variables and reducing the number of operations. Used `is` for `None` comparisons, which are faster.
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Dec 20, 2024
@codeflash-ai codeflash-ai bot requested a review from alvin-r December 20, 2024 03:54
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
⚡️ codeflash Optimization PR opened by Codeflash AI
Projects
None yet
Development

Successfully merging this pull request may close these issues.

0 participants