119 lines
4.9 KiB
Python
119 lines
4.9 KiB
Python
# question 1:
|
||
#boolean context:
|
||
#In programming, a boolean context refers to a situation where a condition or expression is evaluated as either true or false.
|
||
#A boolean context typically occurs in control flow statements, such as if statements or while loops, where the condition determines whether
|
||
#a certain block of code should be executed or repeated.
|
||
|
||
#Ellipsis:
|
||
#an ellipsis (...) is a special token that represents an ellipsis object. It is often used as a placeholder in code or data structures where
|
||
#you intend to fill in additional functionality or content later.
|
||
|
||
#machine-level double precision floating point numbers
|
||
#Machine-level double precision floating-point numbers, often referred to as double, are a common representation of real numbers in computer systems.
|
||
#They are a binary format used to store and manipulate floating-point values with higher precision compared to single precision.
|
||
|
||
#Callable types:
|
||
#callable types refer to objects that can be called as functions. These objects are capable of executing code when invoked with parentheses, just
|
||
#like a regular function.
|
||
|
||
#cell_contents:
|
||
#the term "cell contents" refers to the value stored in a cell of a closure. A closure is a function object that retains references to variables
|
||
#in its enclosing lexical scope, even when the outer function has finished executing.
|
||
#When a closure is created, each variable it references is stored in a cell, which is an internal data structure associated with the closure.
|
||
#The cell contents refer to the value stored within the cell associated with a particular variable in a closure. It represents the value of the
|
||
#variable as seen by the closure, regardless of any changes made to the variable in the outer scope.
|
||
|
||
#example for "When an instance method object is created by retrieving a user-defined function object from a class via one of its instances,
|
||
#its __self__ attribute is the instance, and the method object is said to be bound. The new method’s __func__ attribute is the original function
|
||
#object."
|
||
"""""
|
||
class MyClass:
|
||
def my_method(self):
|
||
print("Hello, world!")
|
||
|
||
# Creating an instance of MyClass
|
||
my_instance = MyClass()
|
||
|
||
# Retrieving the method object from the instance
|
||
method_object = my_instance.my_method
|
||
|
||
# Accessing the attributes of the method object
|
||
print(method_object.__self__) # Output: <__main__.MyClass object at 0x...>
|
||
print(method_object.__func__) # Output: <function MyClass.my_method at 0x...>
|
||
|
||
# Calling the method through the method object
|
||
method_object() # Output: Hello, world!
|
||
"""""
|
||
|
||
#async def:
|
||
# the async def syntax is used to define an asynchronous function, also known as a coroutine. An asynchronous function allows concurrent
|
||
# execution of multiple tasks by allowing the program to proceed to other tasks while waiting for certain operations to complete.
|
||
"""""
|
||
import asyncio
|
||
|
||
async def my_coroutine():
|
||
print("Coroutine started")
|
||
await asyncio.sleep(1) # Simulating an asynchronous operation
|
||
print("Coroutine completed")
|
||
|
||
# Calling the coroutine
|
||
asyncio.run(my_coroutine())
|
||
"""""
|
||
#Static method and class method:
|
||
#In Python, static methods and class methods are two types of methods that can be defined within a class.
|
||
#Static methods:
|
||
#Static methods are defined using the @staticmethod decorator or by declaring them inside the class without any special decorator.
|
||
#Static methods are not bound to a specific instance or the class itself. They behave like regular functions but are defined within the class for organizational purposes.
|
||
#Static methods do not have access to the instance or class attributes and cannot modify them directly.
|
||
#Static methods can be called on the class itself or on an instance of the class.
|
||
#Class methods:
|
||
#Class methods are defined using the @classmethod decorator.
|
||
#Class methods are bound to the class itself rather than the instances. They receive the class as the first argument (usually named cls) instead of the instance (self).
|
||
#Class methods have access to the class attributes and can modify them if needed.
|
||
#Class methods can be called on the class itself or on an instance of the class.
|
||
|
||
# question 2:
|
||
def add_numbers(a, b):
|
||
result = a + b
|
||
return result
|
||
|
||
def multiply_numbers(x, y):
|
||
result = x * y
|
||
return result
|
||
|
||
def main():
|
||
number1 = 5
|
||
number2 = 10
|
||
sum_result = add_numbers(number1, number2)
|
||
breakpoint() # Set breakpoint here
|
||
product_result = multiply_numbers(sum_result, number2)
|
||
print("Product:", product_result)
|
||
|
||
if __name__ == "__main__":
|
||
main()
|
||
|
||
# question 3:
|
||
|
||
def calculate_square(x):
|
||
square = x ** 2
|
||
return square
|
||
|
||
def calculate_cube(x):
|
||
cube = x ** 3
|
||
return cube
|
||
|
||
def main():
|
||
number = 5
|
||
breakpoint() # Set breakpoint here
|
||
square_result = calculate_square(number)
|
||
cube_result = calculate_cube(number)
|
||
print("Square:", square_result)
|
||
print("Cube:", cube_result)
|
||
|
||
if __name__ == "__main__":
|
||
main()
|
||
|
||
|
||
|
||
|