How to catch type-related errors and bugs at compile time in Python?

Photo by Markus Spiske on Unsplash

Solution:

Mypy is a type-checking tool for Python that allows developers to catch errors and bugs related to variable types at compile time, rather than at runtime. Mypy is an optional tool and can be used alongside the standard Python interpreter or other Python tools.

To Install Mypy:

pip install mypy

Here is an example of how Mypy can be used in Python:

# main.py
def add(a: int, b: int) -> int:
return a + b

result = add(2, 3)
print(result)

In this example, the add() function takes two arguments of type int and returns a value of type int. Mypy can be used to check that the arguments passed to the add() function are indeed of type int and that the function returns a value of type int.

To use Mypy, simply run the following command in the terminal:

mypy main.py

If there are any type-related errors or warnings in the code, Mypy will report them to the developer, allowing them to catch and fix errors before the code is run. For example, if we were to call add() with a string argument instead of an integer, Mypy would catch this error and report it to the developer at compile time.

# main.py
def add(a: int, b: int) -> int:
return a + b

result = add(2, '3')
print(result)

If we run mypy main.py with this code, we will receive an error message from Mypy indicating that there is a type mismatch:

main.py:4: error: Argument 2 to "add" has incompatible type "str"; expected "int"

In summary, Mypy is a useful tool for Python developers to catch type-related errors and bugs at compile time, helping to improve code quality and reduce the likelihood of runtime errors.

Reference : https://pypi.org/project/mypy/#description

Thank you for reading 🙂


How to catch type-related errors and bugs at compile time in Python? was originally published in Level Up Coding on Medium, where people are continuing the conversation by highlighting and responding to this story.


This content originally appeared on Level Up Coding - Medium and was authored by Amit Kumar Manjhi

Photo by Markus Spiske on Unsplash

Solution:

Mypy is a type-checking tool for Python that allows developers to catch errors and bugs related to variable types at compile time, rather than at runtime. Mypy is an optional tool and can be used alongside the standard Python interpreter or other Python tools.

To Install Mypy:

pip install mypy

Here is an example of how Mypy can be used in Python:

# main.py
def add(a: int, b: int) -> int:
return a + b

result = add(2, 3)
print(result)

In this example, the add() function takes two arguments of type int and returns a value of type int. Mypy can be used to check that the arguments passed to the add() function are indeed of type int and that the function returns a value of type int.

To use Mypy, simply run the following command in the terminal:

mypy main.py

If there are any type-related errors or warnings in the code, Mypy will report them to the developer, allowing them to catch and fix errors before the code is run. For example, if we were to call add() with a string argument instead of an integer, Mypy would catch this error and report it to the developer at compile time.

# main.py
def add(a: int, b: int) -> int:
return a + b

result = add(2, '3')
print(result)

If we run mypy main.py with this code, we will receive an error message from Mypy indicating that there is a type mismatch:

main.py:4: error: Argument 2 to "add" has incompatible type "str"; expected "int"

In summary, Mypy is a useful tool for Python developers to catch type-related errors and bugs at compile time, helping to improve code quality and reduce the likelihood of runtime errors.

Reference : https://pypi.org/project/mypy/#description

Thank you for reading :)


How to catch type-related errors and bugs at compile time in Python? was originally published in Level Up Coding on Medium, where people are continuing the conversation by highlighting and responding to this story.


This content originally appeared on Level Up Coding - Medium and was authored by Amit Kumar Manjhi


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