def __new__(cls, name, **assumptions):
"""Symbols are identified by name and assumptions::
>>> from sympy import Symbol
>>> Symbol("x") == Symbol("x")
True
>>> Symbol("x", real=True) == Symbol("x", real=False)
False
"""
if assumptions.get('zero', False):
return S.Zero
is_commutative = fuzzy_bool(assumptions.get('commutative', True))
if is_commutative is None:
raise ValueError(
'''Symbol commutativity must be True or False.''')
I was studying how declaration of Symbol works with the help of winpdb .
`name` is for the name of symbol and `assumptions` are the assumptions
associated with it .
What about the cls variable , I didn't understand it's use and what does
assumptions.get('zero',False) mean ?
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