Type hinting a collection of a specified type in python

Type hinting a collection of a specified type in python

In Python, you can use type hints to indicate that a function or method accepts a collection (e.g., list, tuple, set) containing elements of a specified type. To do this, you can use the List, Tuple, Set, or other collection type hint classes from the typing module.

Here's how you can type hint a collection of a specified type:

from typing import List def process_numbers(numbers: List[int]) -> List[int]: result = [num * 2 for num in numbers] return result numbers_list = [1, 2, 3, 4, 5] processed_numbers = process_numbers(numbers_list) print(processed_numbers) # Output: [2, 4, 6, 8, 10]

In this example, the process_numbers function accepts a list of integers as input (numbers: List[int]). The function doubles each number in the list and returns a new list of integers. The type hint List[int] indicates that the argument numbers is expected to be a list containing elements of type int.

You can use similar type hints for other collection types like tuples and sets:

  • Tuple type hint for a tuple containing elements of a specified type.
  • Set type hint for a set containing elements of a specified type.

Here's an example using a Set type hint:

from typing import Set def unique_elements(data: Set[str]) -> Set[str]: return data unique_names = {"Alice", "Bob", "Charlie"} processed_names = unique_elements(unique_names) print(processed_names) # Output: {'Alice', 'Bob', 'Charlie'}

Type hints help improve code readability, catch potential errors, and provide better IDE support and documentation for your code.

Examples

  1. "Python type hint for list of specific type"

    Description: This query suggests a need to specify type hints for lists containing elements of a specific type in Python, indicating a desire for improved code documentation and type checking.

    Code:

    from typing import List def process_list(lst: List[int]) -> None: # Function to process a list containing integers for item in lst: print(item)

  2. "Type hint for collection of specified type in Python"

    Description: This query indicates a need to provide type hints for collections (e.g., lists, tuples, sets) containing elements of a specified type in Python, suggesting a desire for clearer code documentation and improved type checking.

    Code:

    from typing import Tuple def process_tuple(t: Tuple[str, int, float]) -> None: # Function to process a tuple containing elements of specific types for item in t: print(item)

  3. "Python type hint for set of specific type"

    Description: This query suggests a need to annotate sets containing elements of a specific type with type hints in Python, indicating a desire for improved code clarity and type safety.

    Code:

    from typing import Set def process_set(s: Set[str]) -> None: # Function to process a set containing strings for item in s: print(item)

  4. "Type hint for dictionary values of specific type in Python"

    Description: This query indicates a need to specify type hints for dictionary values containing elements of a specific type in Python, suggesting a desire for clearer code documentation and improved type checking.

    Code:

    from typing import Dict def process_dict(d: Dict[str, int]) -> None: # Function to process a dictionary with values of specific types for key, value in d.items(): print(f"Key: {key}, Value: {value}")

  5. "Python type hint for collection of custom objects"

    Description: This query suggests a need to provide type hints for collections (e.g., lists, tuples, sets) containing instances of custom-defined classes in Python, indicating a desire for improved code documentation and type checking.

    Code:

    from typing import List class MyClass: pass def process_objects(objects: List[MyClass]) -> None: # Function to process a list of custom objects for obj in objects: print(obj)

  6. "Type hint for iterable of specific type in Python"

    Description: This query indicates a need to annotate iterables containing elements of a specific type with type hints in Python, suggesting a desire for clearer code documentation and improved type checking.

    Code:

    from typing import Iterable def process_iterable(iterable: Iterable[float]) -> None: # Function to process an iterable containing floating-point numbers for item in iterable: print(item)

  7. "Python type hint for list of strings"

    Description: This query suggests a need to specify type hints for lists containing strings in Python, indicating a desire for improved code documentation and type safety.

    Code:

    from typing import List def process_strings(strings: List[str]) -> None: # Function to process a list of strings for s in strings: print(s)

  8. "Type hint for collection of integers in Python"

    Description: This query indicates a need to provide type hints for collections (e.g., lists, tuples, sets) containing integers in Python, suggesting a desire for clearer code documentation and improved type checking.

    Code:

    from typing import Tuple def process_integers(integers: Tuple[int, ...]) -> None: # Function to process a tuple containing integers for num in integers: print(num)

  9. "Python type hint for list of custom objects"

    Description: This query suggests a need to annotate lists containing instances of custom-defined classes with type hints in Python, indicating a desire for improved code documentation and type checking.

    Code:

    from typing import List class MyClass: pass def process_objects(objects: List[MyClass]) -> None: # Function to process a list of custom objects for obj in objects: print(obj)

  10. "Type hint for collection of specific type in Python"

    Description: This query indicates a need to provide type hints for collections (e.g., lists, tuples, sets) containing elements of a specific type in Python, suggesting a desire for clearer code documentation and improved type checking.

    Code:

    from typing import List def process_list(lst: List[str]) -> None: # Function to process a list containing strings for item in lst: print(item)

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