Code Explanation:
1. Understanding the Set {1, True, 1.0, 2}
In Python, a set is a collection that stores unique elements. Duplicate elements are automatically eliminated.
{1, True, 1.0, 2}
This set contains four values:
- 1 — Integer
- True — Boolean
- 1.0 — Float
- 2 — Integer
Although four values are provided, Python checks whether some of them are equivalent.
2. Understanding 1, True, and 1.0
In Python, these values are numerically equal.
print(1 == True) # Trueprint(1 == 1.0) # Trueprint(True == 1.0) # True
Why does this happen?
- True behaves numerically like the integer 1.
- The integer 1 and the float 1.0 represent the same numerical value.
- These values also have equal hash values, allowing Python sets to treat them as equivalent elements.
3. Understanding Duplicate Removal
{1, True, 1.0, 2}
Python treats 1, True, and 1.0 as equivalent when determining set uniqueness. Therefore, they represent just one unique element.
The set effectively contains two unique elements:
{1, 2}
The displayed representation of the equivalent element may depend on which representation was retained.
4. Understanding the len() Function
len({1, True, 1.0, 2})
The len() function returns the number of elements in a collection.
Here:
- 1, True, and 1.0 count as one unique element.
- 2 counts as another unique element.
Therefore, the total number of unique elements is 2.
5. Understanding the print() Function
print(len({1, True, 1.0, 2}))
Python executes this expression in the following order:
1. Creates the set.
2. Identifies equivalent values and retains only unique elements.
3. Uses len() to count the elements.
4. Uses print() to display the result.
✅ Final Output
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