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Expression of type ExprTuple

from the theory of proveit.numbers.summation

In [1]:
import proveit
# Automation is not needed when building an expression:
proveit.defaults.automation = False # This will speed things up.
proveit.defaults.inline_pngs = False # Makes files smaller.
%load_expr # Load the stored expression as 'stored_expr'
# import Expression classes needed to build the expression
from proveit import ExprTuple, j, k, x
from proveit.numbers import Add, Exp, one, subtract
In [2]:
# build up the expression from sub-expressions
expr = ExprTuple(subtract(Exp(x, j), Exp(x, Add(k, one))), subtract(one, x))
expr:
In [3]:
# check that the built expression is the same as the stored expression
assert expr == stored_expr
assert expr._style_id == stored_expr._style_id
print("Passed sanity check: expr matches stored_expr")
Passed sanity check: expr matches stored_expr
In [4]:
# Show the LaTeX representation of the expression for convenience if you need it.
print(stored_expr.latex())
\left(x^{j} - x^{k + 1}, 1 - x\right)
In [5]:
stored_expr.style_options()
namedescriptiondefaultcurrent valuerelated methods
wrap_positionsposition(s) at which wrapping is to occur; 'n' is after the nth comma.()()('with_wrapping_at',)
justificationif any wrap positions are set, justify to the 'left', 'center', or 'right'leftleft('with_justification',)
In [6]:
# display the expression information
stored_expr.expr_info()
 core typesub-expressionsexpression
0ExprTuple1, 2
1Operationoperator: 18
operands: 3
2Operationoperator: 18
operands: 4
3ExprTuple5, 6
4ExprTuple21, 7
5Operationoperator: 14
operands: 8
6Operationoperator: 10
operand: 13
7Operationoperator: 10
operand: 16
8ExprTuple16, 12
9ExprTuple13
10Literal
11ExprTuple16
12Variable
13Operationoperator: 14
operands: 15
14Literal
15ExprTuple16, 17
16Variable
17Operationoperator: 18
operands: 19
18Literal
19ExprTuple20, 21
20Variable
21Literal