In Python, you can validate tuples by checking their length, data types, or specific values. This can be done using simple conditional statements or more sophisticated methods like defining functions or using libraries like `pydantic`. Here are some examples of validating tuples.
# Example 1: Validating the length of a tuple
def validate_tuple_length(tup, expected_length):
if len(tup) != expected_length:
raise ValueError(f"Tuple must be of length {expected_length}, but got {len(tup)}.")
# Testing the function
try:
validate_tuple_length((1, 2, 3), 3) # Valid
validate_tuple_length((1, 2), 3) # Raises ValueError
except ValueError as e:
print(e)
# Example 2: Validating datatypes in a tuple
def validate_tuple_types(tup, expected_types):
if len(tup) != len(expected_types):
raise ValueError("Tuple length and expected types length must match.")
for item, expected in zip(tup, expected_types):
if not isinstance(item, expected):
raise TypeError(f"Expected type {expected} but got {type(item)} for item {item}.")
# Testing the function
try:
validate_tuple_types((1, "string", 3.14), (int, str, float)) # Valid
validate_tuple_types((1, 2, 3.14), (int, str, float)) # Raises TypeError
except (ValueError, TypeError) as e:
print(e)
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