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auth generate truth tables

Project description

truths is a simple tool that allows you to quickly generate a truth table from python variable names and phrases

install

pip install truths or git clone and pip install -e to play with the code

use is simple:

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 |
+---+---+---+

add some phrases

now let’s use those base variables and pass in some phrases!

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'])
+---+---+---+---+-----------+--------------+---------------------+
| a | b | x | d | (a and b) | a and b or x | a and (b or x) or d |
+---+---+---+---+-----------+--------------+---------------------+
| 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          |
+---+---+---+---+-----------+--------------+---------------------+

prefer boolean words?

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        |
+-------+-------+-------+-------+-----------+--------------+---------------------+

how it works

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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