truths is a simple tool that allows you to quickly generate a truth table from python variable names and phrases
pip install truths or git clone and pip install -e to play with the code
start by creating some base variables
import truths
print truths.Truths(['a', 'b', 'x'])+---+---+---+
| a | b | x |
+---+---+---+
| 0 | 0 | 0 |
| 0 | 0 | 1 |
| 0 | 1 | 0 |
| 0 | 1 | 1 |
| 1 | 0 | 0 |
| 1 | 0 | 1 |
| 1 | 1 | 0 |
| 1 | 1 | 1 |
+---+---+---+
now let's use those base variables and pass in some phrases! your base variables can be anything you want but must be valid python variable names. the phrases also have to be valid python
from truths import Truths
print Truths(['a', 'b', 'cat', 'has_address'], ['(a and b)', 'a and b or cat', 'a and (b or cat) or has_address'])+---+---+-----+-------------+-----------+----------------+---------------------------------+
| a | b | cat | has_address | (a and b) | a and b or cat | a and (b or cat) or has_address |
+---+---+-----+-------------+-----------+----------------+---------------------------------+
| 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 0 | 0 | 1 | 0 | 0 | 1 | 0 |
| 0 | 0 | 1 | 1 | 0 | 1 | 1 |
| 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| 0 | 1 | 0 | 1 | 0 | 0 | 1 |
| 0 | 1 | 1 | 0 | 0 | 1 | 0 |
| 0 | 1 | 1 | 1 | 0 | 1 | 1 |
| 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1 | 0 | 0 | 1 | 0 | 0 | 1 |
| 1 | 0 | 1 | 0 | 0 | 1 | 1 |
| 1 | 0 | 1 | 1 | 0 | 1 | 1 |
| 1 | 1 | 0 | 0 | 1 | 1 | 1 |
| 1 | 1 | 0 | 1 | 1 | 1 | 1 |
| 1 | 1 | 1 | 0 | 1 | 1 | 1 |
| 1 | 1 | 1 | 1 | 1 | 1 | 1 |
+---+---+-----+-------------+-----------+----------------+---------------------------------+
neat eh? if you prefer True/False over the numbers pass ints=False:
from truths import Truths
print Truths(['a', 'b', 'x', 'd'], ['(a and b)', 'a and b or x', 'a and (b or x) or d'], ints=False)+-------+-------+-------+-------+-----------+--------------+---------------------+
| a | b | x | d | (a and b) | a and b or x | a and (b or x) or d |
+-------+-------+-------+-------+-----------+--------------+---------------------+
| False | False | False | False | False | False | False |
| False | False | False | True | False | False | True |
| False | False | True | False | False | True | False |
| False | False | True | True | False | True | True |
| False | True | False | False | False | False | False |
| False | True | False | True | False | False | True |
| False | True | True | False | False | True | False |
| False | True | True | True | False | True | True |
| True | False | False | False | False | False | False |
| True | False | False | True | False | False | True |
| True | False | True | False | False | True | True |
| True | False | True | True | False | True | True |
| True | True | False | False | True | True | True |
| True | True | False | True | True | True | True |
| True | True | True | False | True | True | True |
| True | True | True | True | True | True | True |
+-------+-------+-------+-------+-----------+--------------+---------------------+
check out the code! behind the scenes it's putting the bases in an object context and generating a grid of values for them. then, the phrases are evaluated in the object's context against each row in that grid of values
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