# ---------------------------------------------------------------------------
# Demonstrates how to check whether a floating‑point value (Python float)
# represents an integer. Python's float behaves like a double in many languages.
# ---------------------------------------------------------------------------
def is_integer(value: float) -> bool:
"""
Returns True if the given float represents an integer value.
Uses a small tolerance to handle floating‑point precision issues.
"""
epsilon = 1e-12
# int(value) truncates toward zero; compare with tolerance.
truncated = int(value)
# If the absolute difference is extremely small, treat it as an integer.
return abs(value - truncated) < epsilon
def print_check(value: float) -> None:
"""
Prints a descriptive message indicating whether the value is integer-like.
"""
print(f"Checking value: {value}")
if is_integer(value):
print("Result: The value contains an integer.\n")
else:
print("Result: The value contains a floating‑point number.\n")
def main():
"""
Entry point demonstrating several example values.
"""
# Example input values (Python floats behave like doubles)
a = 42.0 # integer-like
b = 42.00000000001 # floating-point due to tiny fraction
c = 89.0000000000001 # integer-like
d = -7.0 # negative integer-like
e = 3.14 # floating-point
# Run checks
print_check(a)
print_check(b)
print_check(c)
print_check(d)
print_check(e)
if __name__ == "__main__":
main()
"""
run:
Checking value: 42.0
Result: The value contains an integer.
Checking value: 42.00000000001
Result: The value contains a floating‑point number.
Checking value: 89.0000000000001
Result: The value contains an integer.
Checking value: -7.0
Result: The value contains an integer.
Checking value: 3.14
Result: The value contains a floating‑point number.
"""
