Is there a Kotlin equivalent of Java’s Collections.synchronizedList ? Or is this not needed in Kotlin

If I try to use the Java List a warning message comes up “This class shouldn’t be used in Kotlin…” Java lists (and other collections) are mapped types in Kotlin. So you can use Collections.synchronizedList, and it takes and returns a Kotlin List or MutableList. OTOH, synchronizedList is rarely what you actually want: it works … Read more

Issue warning for missing comma between list items bug

These are merely probable solutions since I’m not really apt with static-analysis. With tokenize: I recently fiddled around with tokenizing python code and I believe it has all the information needed to perform these kind of checks when sufficient logic is added. For your given list, the tokens generated with python -m tokenize list1.py are … Read more

Static typing in python3: list vs List [duplicate]

Not all lists are the same from a typing perspective. The program def f(some_list: list): return [i+2 for i in some_list] f([‘a’, ‘b’, ‘c’]) won’t fail a static type checker, even though it won’t run. By contrast, you can specify the contents of the list using the abstract types from typing def f(some_list: List[int]) -> … Read more

Complexity of std::list::splice and other list containers

This was a very contentious topic during the standardization of C++11. The problem is that all standard containers, including lists, also have a constant-time size operation. Before C++11, many implementations made size linear time and splice between different lists constant time. C++11 now requires that size be constant and splice be linear. The problem is … Read more

set list as value in a column of a pandas dataframe

You’d have to do: df[‘new_col’] = [my_list] * len(df) Example: In [13]: df = pd.DataFrame(np.random.randn(5,3), columns=list(‘abc’)) df Out[13]: a b c 0 -0.010414 1.859791 0.184692 1 -0.818050 -0.287306 -1.390080 2 -0.054434 0.106212 1.542137 3 -0.226433 0.390355 0.437592 4 -0.204653 -2.388690 0.106218 In [17]: df[‘b’] = [[234]] * len(df) df Out[17]: a b c 0 -0.010414 … Read more

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