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Boolean data type has two possible truth values to represent logic.

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Boolean data type has two possible truth values to represent logic.
📦 PyPi, 📰 Pdoc, 📘 Wiki.

Here is my implementation of digital logic gates in software. That includes the basic gates not_, and_, or_, xor; their complements nand, nor, xnor; and 2 propositional logic (taught in discrete mathematics) gates imply, eq; and their complements nimply, neq. There is also a multiplexer, called select, and a True counter, called count. count can help you make custom gates, such as an alternate concept of xnor which returns True only if all inputs are the same (standard xnor returns True if even inputs are True). All of them can handle upto 8 inputs.

parse is influenced by "boolean" package, and is quite good at translating str to bool. It can also handle double negatives, eg. not inactive. You know the and_ of 2-inputs, but what of 1-input? What of 0? And what of the other gates? I answer them here.

Stability: Experimental.


from extra_boolean import *


parse("1")
parse("truthy")
parse("Not Off")
parse("Not Inactive")
# True

parse("cold")
parse("inactive")
parse("Negative Yes")
parse("Negative Aye")
# False

imply(True, False)
# False

eq(False, False)
# True

xor(True, True, True)
# True

select(1, True, False, True)
# False           ^

count(True, False, True)
# 2    ^            ^


Index

Function Action
parse Converts string to boolean.
not_ Checks if value is false.
and_ Checks if all values are true.
or_ Checks if any value is true.
xor Checks if odd no. of values are true.
nand Checks if any value is false.
nor Checks if all values are false.
xnor Checks if even no. of values are true.
eq Checks if antecedent ⇔ consequent (a ⇔ b).
neq Checks if antecedent ⇎ consequent (a ⇎ b).
imply Checks if antecedent ⇒ consequent (a ⇒ b).
nimply Checks if antecedent ⇏ consequent (a ⇏ b).
select Checks if ith value is true.
count Counts no. of true values.


References



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