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April 19, 2025 22:14
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This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -0,0 +1,103 @@ import time import traceback from typing import Literal, final class String: """ A variant containing a string """ class ListOfInts: """ A variant containing a list of ints """ @final class MySumType: def __init__( self, adt: tuple[String, str] | tuple[ListOfInts, list[int]], ) -> None: self.adt = adt def consume(err_data: str): x1 = MySumType((String(), 'hello')) x2 = MySumType((ListOfInts(), [1, 2, 3])) x3 = MySumType((ListOfInts(), err_data)) for x in [x1, x2, x3]: match x.adt: case (String(), data): print(data.upper()) case (ListOfInts(), data): print(sum(data)) if __name__ == '__main__': try: consume('lsp will show error') except TypeError as e: traceback.print_exc() print('---') # --- benchmark --- data = ['hello', 'world', [1, 2, 3], list(range(1000))] sum_type_data: list[MySumType] = [] tuple_data: list[ tuple[Literal['str'], str] | tuple[Literal['list_of_ints'], list[int]] ] = [] for x in data: if isinstance(x, str): sum_type_data.append(MySumType((String(), x))) tuple_data.append(('str', x)) else: sum_type_data.append(MySumType((ListOfInts(), x))) tuple_data.append(('list_of_ints', x)) max_iter = 1_000_000 counter = 0 start_time = time.perf_counter() for i in range(max_iter): for x in sum_type_data: match x.adt: case (String(), xx): counter += len(xx) case (ListOfInts(), xx): counter += sum(xx) end_time = time.perf_counter() print( f'match with wrapper class: {end_time - start_time:.4f} seconds for {max_iter} iterations' ) counter = 0 start_time = time.perf_counter() for i in range(max_iter): for x in tuple_data: match x: case ('str', xx): counter += len(xx) case ('list_of_ints', xx): counter += sum(xx) end_time = time.perf_counter() print( f'match without wrapper class: {end_time - start_time:.4f} seconds for {max_iter} iterations' ) counter = 0 start_time = time.perf_counter() for i in range(max_iter): for x in data: if isinstance(x, str): counter += len(x) else: counter += sum(x) end_time = time.perf_counter() print( f'if-else on native values: {end_time - start_time:.4f} seconds for {max_iter} iterations' )