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⚡️ Speed up method ProgressBar.make_step by 11% #25

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

📄 11% (0.11x) speedup for ProgressBar.make_step in src/click/_termui_impl.py

⏱️ Runtime : 1.70 millisecond 1.53 millisecond (best of 8 runs)

📝 Explanation and details

Here's a more optimized version of your ProgressBar class. The main focus of optimization has been removing redundant operations, using efficient data structures, and minimizing function calls where possible.

Changes made.

  1. Moved the length hint logic directly into the constructor to avoid unnecessary calls.
  2. Simplified the handling of the file parameter by combining checks and fallbacks.
  3. Moved time.time() calls to variables to avoid calling the function repeatedly in the make_step method.
  4. Changed the rolling average calculation to a list with a fixed maximum length of 7, using pop() to maintain it.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 1068 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 90.9%
🌀 Generated Regression Tests Details
from __future__ import annotations

import collections.abc as cabc
import time
import typing as t
from io import StringIO
from types import TracebackType

# imports
import pytest  # used for our unit tests
from src.click._compat import _default_text_stdout, isatty
from src.click._termui_impl import ProgressBar

# unit tests

# Basic Functionality

def test_single_step_increment():
    pb = ProgressBar(iterable=None, length=10)
    pb.make_step(1)

def test_multiple_step_increment():
    pb = ProgressBar(iterable=None, length=10)
    pb.make_step(5)

# Edge Cases

def test_zero_steps():
    pb = ProgressBar(iterable=None, length=10)
    pb.make_step(0)

def test_negative_steps():
    pb = ProgressBar(iterable=None, length=10)
    pb.make_step(-1)

def test_exact_completion():
    pb = ProgressBar(iterable=None, length=10)
    pb.make_step(10)

# Completion Check

def test_over_completion():
    pb = ProgressBar(iterable=None, length=10)
    pb.make_step(11)

def test_already_finished():
    pb = ProgressBar(iterable=None, length=10)
    pb.finished = True
    pb.make_step(1)

# Throttle Updates

def test_update_within_one_second(monkeypatch):
    pb = ProgressBar(iterable=None, length=10)
    monkeypatch.setattr(time, 'time', lambda: pb.last_eta + 0.5)
    pb.make_step(1)

def test_update_after_one_second(monkeypatch):
    pb = ProgressBar(iterable=None, length=10)
    monkeypatch.setattr(time, 'time', lambda: pb.last_eta + 1.5)
    pb.make_step(1)

# Step Time Calculation

def test_first_step(monkeypatch):
    pb = ProgressBar(iterable=None, length=10)
    monkeypatch.setattr(time, 'time', lambda: pb.start + 1)
    pb.make_step(1)

def test_subsequent_steps(monkeypatch):
    pb = ProgressBar(iterable=None, length=10)
    pb.make_step(1)
    monkeypatch.setattr(time, 'time', lambda: pb.start + 2)
    pb.make_step(1)

# Average Step Time Update

def test_rolling_average_update(monkeypatch):
    pb = ProgressBar(iterable=None, length=10)
    for i in range(8):
        monkeypatch.setattr(time, 'time', lambda: pb.start + (i + 1))
        pb.make_step(1)

# ETA Known Flag

def test_eta_known_length_defined():
    pb = ProgressBar(iterable=None, length=10)
    pb.make_step(1)


def test_large_number_of_steps():
    pb = ProgressBar(iterable=None, length=1000000)
    pb.make_step(1000000)

def test_high_frequency_updates(monkeypatch):
    pb = ProgressBar(iterable=None, length=1000)
    for i in range(1000):
        monkeypatch.setattr(time, 'time', lambda: pb.start + (i + 1) / 1000)
        pb.make_step(1)
# 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 time
import typing as t
from io import StringIO
from types import TracebackType

# imports
import pytest  # used for our unit tests
from src.click._compat import _default_text_stdout, isatty
from src.click._termui_impl import ProgressBar

# unit tests

def test_increment_position():
    # Test basic increment
    pb = ProgressBar(range(10))
    pb.make_step(1)

    pb.make_step(5)

def test_completion_detection():
    # Test completion detection
    pb = ProgressBar(range(10))
    pb.make_step(10)

    pb = ProgressBar(range(10))
    pb.make_step(11)

def test_zero_steps():
    # Test zero steps
    pb = ProgressBar(range(10))
    pb.make_step(0)

def test_negative_steps():
    # Test negative steps
    pb = ProgressBar(range(10))
    pb.make_step(-1)


def test_throttling_updates():
    # Test frequent updates
    pb = ProgressBar(range(10))
    pb.make_step(1)
    initial_eta = pb.last_eta
    pb.make_step(1)

    time.sleep(1.1)
    pb.make_step(1)

def test_rolling_average_initial_steps():
    # Test initial steps for rolling average
    pb = ProgressBar(range(10))
    pb.make_step(1)

def test_rolling_average_window():
    # Test rolling average window
    pb = ProgressBar(range(10))
    for _ in range(10):
        pb.make_step(1)

def test_large_number_of_steps():
    # Test large number of steps
    pb = ProgressBar(range(1000))
    pb.make_step(1000000)

def test_progress_bar_initialization():
    # Test progress bar initialization
    pb = ProgressBar(range(100))

    pb = ProgressBar(None, length=100)

def test_progress_bar_iteration():
    # Test progress bar iteration
    pb = ProgressBar(range(10))
    with pb:
        for _ in pb:
            pb.make_step(1)


def test_typical_use_case():
    # Test typical use case
    pb = ProgressBar(range(10))
    with pb:
        for _ in pb:
            pb.make_step(1)

def test_completion_and_reset():
    # Test completion and reset
    pb = ProgressBar(range(10))
    pb.make_step(10)

    pb = ProgressBar(range(10))
    pb.make_step(5)
    pb.make_step(5)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

📢 Feedback on this optimization? Discord

Here's a more optimized version of your `ProgressBar` class. The main focus of optimization has been removing redundant operations, using efficient data structures, and minimizing function calls where possible.



Changes made.
1. Moved the length hint logic directly into the constructor to avoid unnecessary calls.
2. Simplified the handling of the `file` parameter by combining checks and fallbacks.
3. Moved `time.time()` calls to variables to avoid calling the function repeatedly in the `make_step` method.
4. Changed the rolling average calculation to a list with a fixed maximum length of 7, using `pop()` to maintain it.
@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 21:56
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