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namedtuple.py
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namedtuple.py
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"""
This module demonstrates the use of named tuples, which are a data structure
with named fields, similar to a class but lightweight and immutable. Named
tuples are created using the namedtuple function from the collections module.
"""
from collections import namedtuple
def main():
# Named Tuple Attributes:
# - namedtuple: Callable from collections to define a named tuple
# - Point: A named tuple type with fields "x" and "y"
Point = namedtuple("Point", ["x", "y"])
# Named Tuple Fields:
# - x and y: Fields of the named tuple Point representing coordinates
# - point1 and point2: Instances of the Point named tuple
point1 = Point(x=1, y=2)
point2 = Point(x=3, y=4)
assert isinstance(point1, Point) is True
assert isinstance(point2, Point) is True
# Named Tuple Operations:
# - Accessing fields using dot notation
# - Named tuples are immutable
# - Named tuples support tuple operations
# - Converting named tuples to dictionaries and vice versa
# - Additional methods and attributes
assert point1.x == 1
assert point1.y == 2
assert point2.x == 3
assert point2.y == 4
# Attempt to change the "x" field of point1 (raises an error)
access_immutable_error = False
try:
point1.x = 5
except AttributeError:
access_immutable_error = True
assert access_immutable_error is True
# One can access Point data by indexes
assert point1[0] + point2[0] == 4
assert point1[0] + point2[1] == 5
assert point1[1] + point2[0] == 5
assert point1[1] + point2[1] == 6
point_dict = point1._asdict()
assert point_dict == {"x": 1, "y": 2}
# It is possible to initialize a Point without explicit parameters
point3 = Point(10, 20)
assert point3.x == 10
assert point3.y == 20
assert Point._fields == ("x", "y")
# It is also possible to create a new point out of an existing one
point4 = point1._replace(x=5)
assert point4.x == 5
assert point4.y == 2
# Note that point4 is not the same as point1
assert id(point4) != id(point1)
if __name__ == "__main__":
main()