To get int literal attribute instead of SyntaxError, use a space or parenthesis. The int literal is a part if Numeric Literals in Python. Numeric Literals also includes the following four different numerical types −
int (signed integers) − They are often called just integers or ints, are positive or negative whole numbers with no decimal point.
long (long integers ) − Also called longs, they are integers of unlimited size, written like integers and followed by an uppercase or lowercase L.
Floating Point Numbers (Floating Point Real Numbers) - Also known as floating point numbers, they represent real numbers with a decimal point separating the integer and decimal parts. Floating point numbers can also be represented using scientific notation, where E or e represents a power of 10 (2.5e2 = 2.5 x 102 = 250).
complex (complex numbers) − are of the form a bJ, where a and b are floats and J (or j) represents the square root of -1 (which is an imaginary number ). The real part of the number is a, and the imaginary part is b. Complex numbers are not used much in Python programming.
Let’s see why and what is the syntax error discussed in this question −
In this example, you can see we will get the invalid decimal literal syntax error −
print(5) print(5.__class__)
The output shows a syntax error
Let’s see how to fix it −
This is how we can solve the integer literal value error by using spaces or brackets -
print(5) print(5 .__class__) print((5).__class__)
5 <class 'int'> <class 'int'>
There’s another example as well −
a = 7 print(a) print(a .__class__) print((a).__class__)
7 <class 'int'> &t;class 'int'>
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