Speed up function _operation by 80%

[misrasaurabh1]

📄 80% (0.80x) speedup for _operation in dash/_patch.py

⏱️ Runtime : 477 microseconds → 264 microseconds (best of 393 runs)

📝 Explanation and details

The largest bottleneck identified is from the unnecessary use of dict(**kwargs), which creates a new dictionary from kwargs, but since kwargs is already a dictionary, this is just a redundant and potentially slower operation. You can use kwargs directly, which saves both CPU and memory.

Explanation:

• Returning kwargs as is avoids an unnecessary dictionary copy, achieving lower runtime and memory usage.
• The return value is unchanged: the "params" entry will be the dictionary of arguments supplied via **kwargs.

This is the fastest and leanest way to implement your functionality per the profiling results.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 38 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 dash._patch import _operation

# unit tests

# 1. BASIC TEST CASES

def test_basic_typical_usage():
    # Basic usage with typical string inputs and a couple of params
    codeflash_output = _operation("copy", "/tmp/file.txt", overwrite=True, retries=3); result = codeflash_output

def test_basic_no_params():
    # Should work with no extra kwargs
    codeflash_output = _operation("delete", "/tmp/file.txt"); result = codeflash_output

def test_basic_multiple_types_in_params():
    # Should handle different types in kwargs
    codeflash_output = _operation("move", "/tmp/file.txt", force=False, count=7, tags=["a", "b"]); result = codeflash_output

def test_basic_empty_strings():
    # Should handle empty strings as arguments
    codeflash_output = _operation("", "", a=1); result = codeflash_output

# 2. EDGE TEST CASES

def test_edge_name_and_location_are_none():
    # Should allow None as name and location
    codeflash_output = _operation(None, None, foo="bar"); result = codeflash_output

def test_edge_params_with_none_values():
    # Should allow None as values in params
    codeflash_output = _operation("noop", "/dev/null", x=None, y=2); result = codeflash_output

def test_edge_params_with_special_characters():
    # Should handle special characters in keys and values
    codeflash_output = _operation("special", "weird/location", **{"sp@ce": "v@lue!", "uniçødë": "✓"}); result = codeflash_output

def test_edge_params_with_mutable_objects():
    # Should handle mutable objects as param values
    d = {"a": 1}
    l = [1, 2, 3]
    codeflash_output = _operation("mutate", "here", d=d, l=l); result = codeflash_output

def test_edge_params_with_boolean_keys():
    # Python only allows string identifiers as kwargs, but dict unpacking allows non-string keys
    # However, **kwargs only allows strings, so this should raise a TypeError if attempted directly
    with pytest.raises(TypeError):
        _operation("fail", "now", **{True: 1})

def test_edge_params_with_reserved_words():
    # Should handle reserved words as keys if passed via dict unpacking
    codeflash_output = _operation("reserved", "where", **{"class": 123, "def": "abc"}); result = codeflash_output

def test_edge_kwargs_shadowing():
    # Should correctly handle kwargs that shadow built-in names
    codeflash_output = _operation("shadow", "builtin", list=[1,2,3], dict={"a":1}); result = codeflash_output

def test_edge_kwargs_with_empty_dict():
    # Should handle being passed an empty dict as kwargs (should be empty params)
    codeflash_output = _operation("empty", "now", **{}); result = codeflash_output

def test_edge_kwargs_with_large_numbers():
    # Should handle large int/float values in params
    codeflash_output = _operation("big", "data", huge=10**18, small=-1e-20); result = codeflash_output

def test_edge_kwargs_with_tuple_keys_should_fail():
    # Non-string keys in kwargs via dict unpacking should fail
    with pytest.raises(TypeError):
        _operation("tuple", "fail", **{(1,2): "bad"})

# 3. LARGE SCALE TEST CASES

def test_large_scale_many_params():
    # Should handle a large number of params (up to 1000)
    many_kwargs = {f"key{i}": i for i in range(1000)}
    codeflash_output = _operation("bulk", "bigfile", **many_kwargs); result = codeflash_output
    for i in range(1000):
        pass

def test_large_scale_long_strings():
    # Should handle very long strings as name/location/param values
    long_str = "x" * 1000
    codeflash_output = _operation(long_str, long_str, param=long_str); result = codeflash_output

def test_large_scale_nested_params():
    # Should handle large nested structures in params
    nested = {"a": [i for i in range(500)], "b": {"x": "y"*200}}
    codeflash_output = _operation("nest", "deep", nested=nested); result = codeflash_output

def test_large_scale_combined():
    # Combine many params and long strings
    many_kwargs = {f"key{i}": "v"*100 for i in range(500)}
    codeflash_output = _operation("combo", "lots", **many_kwargs); result = codeflash_output
    for i in range(500):
        pass

def test_large_scale_performance():
    # This test ensures the function does not take excessive time for large input
    import time
    many_kwargs = {f"k{i}": i for i in range(1000)}
    start = time.time()
    codeflash_output = _operation("perf", "test", **many_kwargs); result = codeflash_output
    elapsed = time.time() - start
# 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 dash._patch import _operation

# unit tests

# 1. Basic Test Cases

def test_basic_minimal_input():
    # Test with only required arguments, no kwargs
    codeflash_output = _operation("copy", "server1"); result = codeflash_output

def test_basic_single_kwarg():
    # Test with one keyword argument
    codeflash_output = _operation("move", "server2", priority=5); result = codeflash_output

def test_basic_multiple_kwargs():
    # Test with multiple keyword arguments
    codeflash_output = _operation("delete", "server3", force=True, retries=3); result = codeflash_output

def test_basic_string_and_number_kwargs():
    # Test with string and number in kwargs
    codeflash_output = _operation("archive", "server4", user="admin", size=100); result = codeflash_output

def test_basic_bool_and_none_kwargs():
    # Test with boolean and None in kwargs
    codeflash_output = _operation("sync", "server5", enabled=False, last_run=None); result = codeflash_output


# 2. Edge Test Cases

def test_edge_empty_strings():
    # Test with empty strings for name and location
    codeflash_output = _operation("", ""); result = codeflash_output

def test_edge_special_characters():
    # Test with special characters in name and location
    codeflash_output = _operation("!@#$%^", "loc*()_+"); result = codeflash_output

def test_edge_long_strings():
    # Test with long strings for name and location
    long_name = "a" * 256
    long_location = "b" * 256
    codeflash_output = _operation(long_name, long_location); result = codeflash_output

def test_edge_reserved_python_keywords_as_kwargs():
    # Test with Python reserved keywords as kwargs (using trailing underscore)
    codeflash_output = _operation("test", "loc", class_="A", def_="B"); result = codeflash_output

def test_edge_mutable_kwargs():
    # Test with mutable types in kwargs
    lst = [1, 2, 3]
    dct = {"x": 1}
    codeflash_output = _operation("mutate", "loc", items=lst, config=dct); result = codeflash_output

def test_edge_kwargs_with_various_types():
    # Test with various data types in kwargs
    codeflash_output = _operation("types", "loc", a=1, b=2.5, c=[1,2], d={"k": "v"}, e=None, f=True); result = codeflash_output


def test_edge_no_kwargs_dict_isolation():
    # Ensure that returned params dict is a new object and not affected by later changes to input kwargs
    input_list = [1,2]
    codeflash_output = _operation("op", "loc", items=input_list); result = codeflash_output
    input_list.append(3)

def test_edge_kwargs_with_unicode_keys_and_values():
    # Test with unicode characters in kwargs
    codeflash_output = _operation("unicode", "loc", üñîçødë="välüé", emoji="😀"); result = codeflash_output

def test_edge_kwargs_with_falsey_values():
    # Test with falsey values as kwargs
    codeflash_output = _operation("falsey", "loc", zero=0, empty_str="", empty_list=[], empty_dict={}); result = codeflash_output


# 3. Large Scale Test Cases

def test_large_number_of_kwargs():
    # Test with a large number of keyword arguments (up to 1000)
    kwargs = {f"key{i}": i for i in range(1000)}
    codeflash_output = _operation("bulk", "datacenter", **kwargs); result = codeflash_output

def test_large_kwargs_with_large_values():
    # Test with large values in kwargs (lists/dicts of size up to 1000)
    large_list = list(range(1000))
    large_dict = {str(i): i for i in range(1000)}
    codeflash_output = _operation("bigdata", "server", data=large_list, mapping=large_dict); result = codeflash_output

def test_large_long_strings():
    # Test with very long strings as values in kwargs
    long_str = "x" * 1000
    codeflash_output = _operation("longstr", "server", desc=long_str); result = codeflash_output

def test_large_varied_types_in_kwargs():
    # Test with many different types in a large kwargs set
    kwargs = {f"int_{i}": i for i in range(500)}
    kwargs.update({f"str_{i}": str(i) for i in range(500)})
    codeflash_output = _operation("mixed", "loc", **kwargs); result = codeflash_output

def test_large_scale_unique_keys():
    # Test with 1000 unique keys to ensure no collisions or truncation
    keys = [f"key_{i}" for i in range(1000)]
    values = [i for i in range(1000)]
    kwargs = dict(zip(keys, values))
    codeflash_output = _operation("unique", "loc", **kwargs); result = codeflash_output
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

[gvwilson]

@T4rk1n do you believe the failing tests will be fixed if your latest CI changes are merged into this branch? (This seems like a simple and correct fix.)

[T4rk1n]

@T4rk1n do you believe the failing tests will be fixed if your latest CI changes are merged into this branch? (This seems like a simple and correct fix.)

Yes, the failing tests are not related.