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@codeflash-ai codeflash-ai bot commented May 24, 2025

📄 122% (1.22x) speedup for _get_cartesian_label in plotly/_subplots.py

⏱️ Runtime : 1.52 milliseconds 684 microseconds (best of 358 runs)

📝 Explanation and details

Here’s the optimized version. Since this function does nothing heavy (just formatting a string in a simple controlled way), there isn’t much room for speedup. But Python’s f-strings are faster than str.format for this case, so we will use them for a micro-optimization.

All comments are preserved. No functions or signatures changed.

This is the fastest way to express this logic in Python 3.6+ (including 3.11) without altering API or output.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 4254 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests Details
import pytest  # used for our unit tests
from plotly._subplots import _get_cartesian_label

# unit tests

# ---------------------------
# Basic Test Cases
# ---------------------------

def test_basic_x_axis_label():
    # Test standard x axis label
    codeflash_output = _get_cartesian_label('x', 1, 1, 1)

def test_basic_y_axis_label():
    # Test standard y axis label
    codeflash_output = _get_cartesian_label('y', 1, 1, 1)

def test_basic_different_cnt():
    # Test with different cnt values
    codeflash_output = _get_cartesian_label('x', 2, 3, 2)
    codeflash_output = _get_cartesian_label('y', 4, 5, 3)

def test_basic_nonstandard_axis_type():
    # Test with a nonstandard axis type (should still work)
    codeflash_output = _get_cartesian_label('z', 1, 1, 1)
    codeflash_output = _get_cartesian_label('foo', 1, 1, 42)

# ---------------------------
# Edge Test Cases
# ---------------------------

def test_zero_and_negative_cnt():
    # Test with cnt as zero
    codeflash_output = _get_cartesian_label('x', 1, 1, 0)
    # Test with cnt as negative
    codeflash_output = _get_cartesian_label('y', 1, 1, -1)

def test_large_cnt():
    # Test with a very large cnt
    codeflash_output = _get_cartesian_label('x', 1, 1, 999999)

def test_empty_axis_type():
    # Test with empty string for x_or_y
    codeflash_output = _get_cartesian_label('', 1, 1, 1)

def test_special_characters_axis_type():
    # Test with special characters in x_or_y
    codeflash_output = _get_cartesian_label('@', 1, 1, 5)
    codeflash_output = _get_cartesian_label('x_', 1, 1, 2)
    codeflash_output = _get_cartesian_label(' ', 1, 1, 3)

def test_non_integer_cnt():
    # Test with cnt as a string (should coerce via str.format)
    codeflash_output = _get_cartesian_label('x', 1, 1, 'foo')
    # Test with cnt as a float
    codeflash_output = _get_cartesian_label('y', 1, 1, 3.5)

def test_non_integer_axis_type():
    # Test with x_or_y as an integer (should coerce via str.format)
    codeflash_output = _get_cartesian_label(7, 1, 1, 2)
    # Test with x_or_y as None (should produce 'NoneX')
    codeflash_output = _get_cartesian_label(None, 1, 1, 99)

def test_row_col_ignored():
    # r and c are ignored, so changing them should not affect output
    codeflash_output = _get_cartesian_label('x', 1, 1, 1)

# ---------------------------
# Large Scale Test Cases
# ---------------------------

def test_many_unique_labels():
    # Test generating a large number of unique labels
    # (cnt goes from 1 to 1000)
    labels = set()
    for cnt in range(1, 1001):
        codeflash_output = _get_cartesian_label('x', 1, 1, cnt); label = codeflash_output
        labels.add(label)
    for i in range(1, 1001):
        pass

def test_large_axis_types():
    # Test with a large number of different axis types
    for i in range(100):
        axis_type = f'axis{i}'
        cnt = i
        expected = f'axis{i}{i}'
        codeflash_output = _get_cartesian_label(axis_type, 1, 1, cnt)

def test_large_cnt_and_axis_type():
    # Test with long axis_type and large cnt
    axis_type = 'longaxisname' * 10  # 120 characters
    cnt = 999
    expected = axis_type + str(cnt)
    codeflash_output = _get_cartesian_label(axis_type, 1, 1, cnt)

def test_performance_large_scale():
    # Test performance and correctness for many combinations
    # (100 axis_types x 10 cnts)
    for i in range(100):
        axis_type = f'a{i}'
        for cnt in range(10):
            expected = f'a{i}{cnt}'
            codeflash_output = _get_cartesian_label(axis_type, 0, 0, cnt)

# ---------------------------
# Robustness and Mutation Testing
# ---------------------------

def test_mutation_wrong_format():
    # If the function is mutated to use r or c instead of cnt, this will fail
    codeflash_output = _get_cartesian_label('x', 7, 8, 3)
    codeflash_output = _get_cartesian_label('y', 99, 42, 5)

def test_mutation_axis_type_case_sensitive():
    # If the function is mutated to always use 'x' or 'y' instead of x_or_y, this will fail
    codeflash_output = _get_cartesian_label('Z', 1, 1, 1)

def test_mutation_cnt_as_string():
    # If the function is mutated to always cast cnt to int, this will fail for non-integer cnt
    codeflash_output = _get_cartesian_label('x', 1, 1, 'abc')
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

import pytest  # used for our unit tests
from plotly._subplots import _get_cartesian_label

# unit tests

# ---------------------
# Basic Test Cases
# ---------------------

def test_basic_x_label():
    # Test with x axis, row 1, col 1, cnt 1
    codeflash_output = _get_cartesian_label('x', 1, 1, 1)

def test_basic_y_label():
    # Test with y axis, row 1, col 1, cnt 1
    codeflash_output = _get_cartesian_label('y', 1, 1, 1)

def test_basic_x_label_different_cnt():
    # Test with x axis, row 2, col 3, cnt 4
    codeflash_output = _get_cartesian_label('x', 2, 3, 4)

def test_basic_y_label_different_cnt():
    # Test with y axis, row 3, col 2, cnt 5
    codeflash_output = _get_cartesian_label('y', 3, 2, 5)

def test_basic_x_label_large_cnt():
    # Test with x axis, row 1, col 1, cnt 99
    codeflash_output = _get_cartesian_label('x', 1, 1, 99)

def test_basic_y_label_large_cnt():
    # Test with y axis, row 1, col 1, cnt 100
    codeflash_output = _get_cartesian_label('y', 1, 1, 100)

# ---------------------
# Edge Test Cases
# ---------------------

def test_edge_cnt_zero():
    # Test with cnt = 0 (lowest non-negative integer)
    codeflash_output = _get_cartesian_label('x', 1, 1, 0)
    codeflash_output = _get_cartesian_label('y', 1, 1, 0)

def test_edge_cnt_negative():
    # Test with negative cnt
    codeflash_output = _get_cartesian_label('x', 1, 1, -1)
    codeflash_output = _get_cartesian_label('y', 1, 1, -10)

def test_edge_x_or_y_empty_string():
    # Test with empty string for x_or_y
    codeflash_output = _get_cartesian_label('', 1, 1, 5)

def test_edge_x_or_y_long_string():
    # Test with multi-character string for x_or_y
    codeflash_output = _get_cartesian_label('abc', 1, 1, 2)

def test_edge_x_or_y_special_chars():
    # Test with special characters for x_or_y
    codeflash_output = _get_cartesian_label('@', 1, 1, 3)
    codeflash_output = _get_cartesian_label('X_', 1, 1, 8)

def test_edge_cnt_string_input():
    # Test with cnt as a string (should coerce to string in format)
    codeflash_output = _get_cartesian_label('x', 1, 1, 'foo')

def test_edge_cnt_none():
    # Test with cnt as None (should coerce to string 'None')
    codeflash_output = _get_cartesian_label('y', 1, 1, None)

def test_edge_x_or_y_none():
    # Test with x_or_y as None (should coerce to string 'None')
    codeflash_output = _get_cartesian_label(None, 1, 1, 7)

def test_edge_all_none():
    # Test with all parameters as None
    codeflash_output = _get_cartesian_label(None, None, None, None)

def test_edge_cnt_float():
    # Test with cnt as a float
    codeflash_output = _get_cartesian_label('x', 1, 1, 3.14)

def test_edge_cnt_large_negative():
    # Test with a very large negative cnt
    codeflash_output = _get_cartesian_label('y', 1, 1, -999999)

def test_edge_x_or_y_numeric():
    # Test with x_or_y as a number
    codeflash_output = _get_cartesian_label(5, 1, 1, 4)

def test_edge_x_or_y_bool():
    # Test with x_or_y as a boolean
    codeflash_output = _get_cartesian_label(True, 1, 1, 2)
    codeflash_output = _get_cartesian_label(False, 1, 1, 2)

def test_edge_cnt_bool():
    # Test with cnt as a boolean
    codeflash_output = _get_cartesian_label('x', 1, 1, True)
    codeflash_output = _get_cartesian_label('y', 1, 1, False)

# ---------------------
# Large Scale Test Cases
# ---------------------

def test_large_scale_sequential_cnt():
    # Test with a range of cnt values to ensure scalability
    for cnt in range(1000):  # up to 1000 elements
        codeflash_output = _get_cartesian_label('x', 1, 1, cnt); label = codeflash_output

def test_large_scale_varied_x_or_y():
    # Test with many different x_or_y values
    for i in range(1000):
        x_or_y = f'axis{i}'
        codeflash_output = _get_cartesian_label(x_or_y, 1, 1, i); label = codeflash_output

def test_large_scale_long_strings():
    # Test with very long strings for x_or_y
    long_str = 'x' * 500
    for cnt in [0, 1, 999]:
        codeflash_output = _get_cartesian_label(long_str, 1, 1, cnt); label = codeflash_output

def test_large_scale_large_numbers():
    # Test with very large cnt values
    for cnt in [10**6, 10**8, 10**12]:
        codeflash_output = _get_cartesian_label('y', 1, 1, cnt); label = codeflash_output

def test_large_scale_extreme_types():
    # Test with a mix of types for x_or_y and cnt
    for i in range(100):
        x_or_y = None if i % 2 == 0 else f'x{i}'
        cnt = None if i % 3 == 0 else i
        codeflash_output = _get_cartesian_label(x_or_y, 1, 1, cnt); label = codeflash_output
        expected = f"{x_or_y}{cnt}"
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

To edit these changes git checkout codeflash/optimize-_get_cartesian_label-mb2hhgp4 and push.

Codeflash

Here’s the optimized version. Since this function does nothing heavy (just formatting a string in a simple controlled way), there isn’t much room for speedup. But Python’s f-strings are faster than `str.format` for this case, so we will use them for a micro-optimization.

All comments are preserved. No functions or signatures changed.


This is the fastest way to express this logic in Python 3.6+ (including 3.11) without altering API or output.
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label May 24, 2025
@codeflash-ai codeflash-ai bot requested a review from misrasaurabh1 May 24, 2025 17:08
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