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⚑️ Speed up function _get_initial_max_subplot_ids by 174% #119

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

πŸ“„ 174% (1.74x) speedup for _get_initial_max_subplot_ids in plotly/_subplots.py

⏱️ Runtime : 395 microseconds β†’ 144 microseconds (best of 277 runs)

πŸ“ Explanation and details

Here is an optimized version of your program. The performance hotspot is building the dictionary on every call. This can be avoided by precomputing the dictionary once at module load time and returning a .copy() for safety. This avoids repeated dictionary construction and assignment for each call, reducing time spent per invocation.

Key optimization:

  • The dictionary only needs to be constructed once since the keys and initial values never change.
  • .copy() is faster than reconstructing the dict every time, given the small and fixed size of this mapping.

All return values and signatures are preserved.

βœ… Correctness verification report:

Test Status
βš™οΈ Existing Unit Tests πŸ”˜ None Found
πŸŒ€ Generated Regression Tests βœ… 1037 Passed
βͺ Replay Tests πŸ”˜ None Found
πŸ”Ž Concolic Coverage Tests βœ… 1 Passed
πŸ“Š Tests Coverage 100.0%
πŸŒ€ Generated Regression Tests Details
import pytest  # used for our unit tests
from plotly._subplots import _get_initial_max_subplot_ids

# function to test
# Constants
# ---------
# Subplot types that are each individually positioned with a domain
#
# Each of these subplot types has a `domain` property with `x`/`y`
# properties.
# Note that this set does not contain `xaxis`/`yaxis` because these behave a
# little differently.

_single_subplot_types = {"scene", "geo", "polar", "ternary", "map", "mapbox"}
from plotly._subplots import _get_initial_max_subplot_ids

# unit tests

def test_basic_keys_and_values():
    # Test that the function returns a dict with the correct keys and all values are 0
    codeflash_output = _get_initial_max_subplot_ids(); result = codeflash_output
    expected_keys = _single_subplot_types.union({"xaxis", "yaxis"})
    for k, v in result.items():
        pass

def test_no_extra_keys():
    # Test that no extra keys are present
    codeflash_output = _get_initial_max_subplot_ids(); result = codeflash_output
    allowed_keys = _single_subplot_types.union({"xaxis", "yaxis"})
    for key in result.keys():
        pass

def test_no_missing_keys():
    # Test that all required keys are present
    codeflash_output = _get_initial_max_subplot_ids(); result = codeflash_output
    for key in _single_subplot_types:
        pass

def test_values_are_integers():
    # Test that all values are of integer type
    codeflash_output = _get_initial_max_subplot_ids(); result = codeflash_output
    for v in result.values():
        pass

def test_immutability_of_returned_dict():
    # Test that modifying the returned dict does not affect subsequent calls
    codeflash_output = _get_initial_max_subplot_ids(); d1 = codeflash_output
    d1["xaxis"] = 99
    codeflash_output = _get_initial_max_subplot_ids(); d2 = codeflash_output

def test_multiple_calls_consistency():
    # Test that multiple calls return equal but not identical objects
    codeflash_output = _get_initial_max_subplot_ids(); d1 = codeflash_output
    codeflash_output = _get_initial_max_subplot_ids(); d2 = codeflash_output

def test_keys_are_strings():
    # Test that all keys are strings
    codeflash_output = _get_initial_max_subplot_ids(); result = codeflash_output
    for k in result.keys():
        pass






def test_return_type_is_dict():
    # Test that the return type is always dict
    codeflash_output = _get_initial_max_subplot_ids(); result = codeflash_output

def test_no_side_effects_on_single_subplot_types():
    # Test that _single_subplot_types is not mutated
    before = set(_single_subplot_types)
    _get_initial_max_subplot_ids()
    after = set(_single_subplot_types)

def test_repr_and_str_of_result():
    # Test that the repr and str of result are as expected
    codeflash_output = _get_initial_max_subplot_ids(); result = codeflash_output
    s = str(result)
    r = repr(result)
    for k in _single_subplot_types.union({"xaxis", "yaxis"}):
        pass

def test_dict_is_flat():
    # Test that the returned dict has only flat keys and values (no nested dicts)
    codeflash_output = _get_initial_max_subplot_ids(); result = codeflash_output
    for v in result.values():
        pass
# 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_initial_max_subplot_ids

# function to test
# Constants
# ---------
# Subplot types that are each individually positioned with a domain
#
# Each of these subplot types has a `domain` property with `x`/`y`
# properties.
# Note that this set does not contain `xaxis`/`yaxis` because these behave a
# little differently.

_single_subplot_types = {"scene", "geo", "polar", "ternary", "map", "mapbox"}
from plotly._subplots import _get_initial_max_subplot_ids

# unit tests

def test_basic_keys_present():
    """
    Basic Test: Ensure all expected keys are present in the returned dict.
    """
    codeflash_output = _get_initial_max_subplot_ids(); result = codeflash_output
    expected_keys = set(_single_subplot_types) | {"xaxis", "yaxis"}

def test_basic_all_values_zero():
    """
    Basic Test: Ensure all values in the returned dict are zero.
    """
    codeflash_output = _get_initial_max_subplot_ids(); result = codeflash_output
    for key, value in result.items():
        pass

def test_basic_return_type():
    """
    Basic Test: Ensure the function returns a dict.
    """
    codeflash_output = _get_initial_max_subplot_ids(); result = codeflash_output

def test_edge_no_mutation_of_single_subplot_types():
    """
    Edge Test: Ensure that modifying the returned dict does not affect the internal constant.
    """
    codeflash_output = _get_initial_max_subplot_ids(); result = codeflash_output
    result["xaxis"] = 42
    # Call again, should not be affected by previous mutation
    codeflash_output = _get_initial_max_subplot_ids(); result2 = codeflash_output

def test_edge_keys_are_strings():
    """
    Edge Test: All keys should be strings.
    """
    codeflash_output = _get_initial_max_subplot_ids(); result = codeflash_output
    for key in result.keys():
        pass

def test_edge_no_extra_keys():
    """
    Edge Test: Ensure no extra keys are present.
    """
    codeflash_output = _get_initial_max_subplot_ids(); result = codeflash_output
    allowed_keys = _single_subplot_types | {"xaxis", "yaxis"}
    for key in result.keys():
        pass

def test_edge_case_sensitive_keys():
    """
    Edge Test: Ensure all keys are lower-case and case-sensitive.
    """
    codeflash_output = _get_initial_max_subplot_ids(); result = codeflash_output
    for key in result.keys():
        pass

def test_edge_keys_are_not_numeric():
    """
    Edge Test: Ensure no numeric keys exist.
    """
    codeflash_output = _get_initial_max_subplot_ids(); result = codeflash_output
    for key in result.keys():
        pass


def test_large_scale_keys_order_independent():
    """
    Large Scale Test: Ensure the order of keys does not matter (dicts are unordered in <3.7).
    """
    codeflash_output = _get_initial_max_subplot_ids(); result1 = codeflash_output
    codeflash_output = _get_initial_max_subplot_ids(); result2 = codeflash_output

def test_large_scale_dict_size():
    """
    Large Scale Test: Ensure the number of keys matches the expected number.
    """
    codeflash_output = _get_initial_max_subplot_ids(); result = codeflash_output
    expected_num_keys = len(_single_subplot_types) + 2  # xaxis and yaxis


def test_edge_keys_are_expected_set():
    """
    Edge Test: Ensure the set of keys is exactly as expected.
    """
    codeflash_output = _get_initial_max_subplot_ids(); result = codeflash_output
    expected = {"scene", "geo", "polar", "ternary", "map", "mapbox", "xaxis", "yaxis"}

def test_edge_dict_is_not_none_or_empty():
    """
    Edge Test: Ensure the returned dict is not None or empty.
    """
    codeflash_output = _get_initial_max_subplot_ids(); result = codeflash_output

def test_edge_keys_do_not_include_axis_numbers():
    """
    Edge Test: Ensure keys like 'xaxis2', 'yaxis3', etc. are not present.
    """
    codeflash_output = _get_initial_max_subplot_ids(); result = codeflash_output
    for i in range(2, 10):
        pass

def test_edge_no_subplots_added():
    """
    Edge Test: Ensure the function does not add any subplot ids greater than zero.
    """
    codeflash_output = _get_initial_max_subplot_ids(); result = codeflash_output
    for key, value in result.items():
        pass

def test_edge_keys_are_hashable():
    """
    Edge Test: Ensure all keys are hashable (required for dict keys).
    """
    codeflash_output = _get_initial_max_subplot_ids(); result = codeflash_output
    for key in result.keys():
        try:
            hash(key)
        except Exception as e:
            pytest.fail(f"Key '{key}' is not hashable: {e}")

def test_edge_values_are_int():
    """
    Edge Test: Ensure all values are integers.
    """
    codeflash_output = _get_initial_max_subplot_ids(); result = codeflash_output
    for key, value in result.items():
        pass

def test_edge_dict_is_new_instance():
    """
    Edge Test: Ensure each call returns a new dict instance.
    """
    codeflash_output = _get_initial_max_subplot_ids(); a = codeflash_output
    codeflash_output = _get_initial_max_subplot_ids(); b = codeflash_output

def test_edge_keys_do_not_include_empty_string():
    """
    Edge Test: Ensure empty string is not a key.
    """
    codeflash_output = _get_initial_max_subplot_ids(); result = codeflash_output

def test_edge_keys_do_not_include_none():
    """
    Edge Test: Ensure None is not a key.
    """
    codeflash_output = _get_initial_max_subplot_ids(); result = codeflash_output

def test_edge_values_are_not_negative():
    """
    Edge Test: Ensure no value is negative.
    """
    codeflash_output = _get_initial_max_subplot_ids(); result = codeflash_output
    for key, value in result.items():
        pass

def test_edge_values_are_not_bool():
    """
    Edge Test: Ensure values are not bools (since bool is subclass of int).
    """
    codeflash_output = _get_initial_max_subplot_ids(); result = codeflash_output
    for key, value in result.items():
        pass
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

from plotly._subplots import _get_initial_max_subplot_ids

def test__get_initial_max_subplot_ids():
    _get_initial_max_subplot_ids()

To edit these changes git checkout codeflash/optimize-_get_initial_max_subplot_ids-mb2gjba5 and push.

Codeflash

Here is an optimized version of your program. The performance hotspot is building the dictionary on every call. This can be avoided by **precomputing** the dictionary **once** at module load time and returning a `.copy()` for safety. This avoids repeated dictionary construction and assignment for each call, reducing time spent per invocation.



**Key optimization**: 
- The dictionary only needs to be constructed once since the keys and initial values never change.
- `.copy()` is faster than reconstructing the dict every time, given the small and fixed size of this mapping.

**All return values and signatures are preserved.**
@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 16:42
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