Fall: stable operators of fall.
Exponentiation, paradox & repetition based functions in python.
Seeks & destroys paradoxes with new recursions, proofs, sequences, formalism, principles.
Project on Github Readme Documentation
Current State: 1 stable function: define() only accessible from SageMath console.
a paradox & based function from which can be built 2 paradigms.
always repeats it's entry, then print something else.
always has 3 consecutive values equals.
always hides an important information: one value is never returned.
Build on repetition this function is a, very, interesting liar ...
- Debian Debian is a free operating system (OS) for your computer.
- Python Python 3.8.2
- Sagemath SageMath version 9.0 (testing/dev)
$ git clone https://github.com/bourinus/Fall.git
Open a terminal at the location of the the file fall.py and load sage:
$ sudo apt install sagemath
$ sage
this gives access to the sage console:
sage: load("fall.py")
sage: define((6/5)*(4/3))
##### List of the Python modules used:
- Fire automatically generates command line interfaces (CLIs) from any Python object.
- Mock test library, allows you to replaces parts of your system under test with objects.
- Sphinx automatically generate intelligent and beautiful documentation.
- Virtualenv tool to create isolated Python environments.
- To install, open a terminal in the Fall folder: After installation a 'venv' is visible in the Fall folder.
$ make install
- Options available: open a terminal in the Fall folder:
$ make help
make reset reset the virtual environment
make clean remove temp files & virtual environment
make install install dependencies & environment
make install_dev install additional dev tools
make test run tests
make run run Fall
make doc build the documentation
- Executing from terminal & python (not working)
$ make run
First understanding: define() is a paradox & repetition based function.
always repeats it's entry, then print something else.
always has 3 consecutive values equals.
always hides an important information: the 6th value is never returned.
- default test command n°1:
sage: define(1) sage: define(I) sage: define(0) sage: define(2)
1 I 0 2
------- ------- ------- -------
1 1 1 1
1 I 0 2
------- ------- ------- -------
1 I 0 2
1 I 0 2
------- ------- ------- -------
1 -1 0 4
returned: returned: returned: returned:
1 I 0 2
- test command n°2:
sage: A = Matrix([[0,3,6],[1,4,7],[2,5,8]])
sage: define(A)
[0 3 6]
[1 4 7]
[2 5 8]
-------
[1 0 0]
[0 1 0]
[0 0 1]
###########
[0 3 6]
[1 4 7]
[2 5 8]
-------
[0 3 6]
[1 4 7]
[2 5 8]
###########
[0 3 6]
[1 4 7]
[2 5 8]
-------
[ 15 42 69]
[ 18 54 90]
[ 21 66 111]
###########
This gives access to other class of functions based on principles: counting/processing differently. And because this gives an error management based on the complex number j
contradiction: i=i ... lvl 1
Oops! i^2=-1 Trying again...
Oops! i^3=-i Trying again...
Oops! i^4=1 Trying again...
Result check A: 1/2 Green
-----
contradiction: -1=1 ... lvl 3
Oops! j=1/j Trying again...
Oops! j^2=-1/j^2. Trying again...
Result check B: 3/4 Green
-----
check C++
check A+
contradiction: -1=1 ... lvl 2
Oops! j=1/j Trying again...
Oops! j^2=-1/j^2. Trying again...
Result check B: 1/4 Green
-----
check C+
check A++
hello: test test_hello (__main__.MenuTest)
python hello.py # Hello World!
python hello.py --name=David # Hello David!
python hello.py --help # Shows usage information.
.
----------------------------------------------------------------------
Ran 1 test in 0.000s
OK
Studying repetition and global behavior gives faster computation using principles.
1/2 5/10 2/5 0.2 2/10 1/10 1/100 100/100 1/10 10/1 10 1/10
1/3 5/3 30/5 6 6/10 3/10 9/100 90/100 9/10 10/9 10/9 9/10
1/4 5/7 70/5 14 14/10 7/5 49/50 98/100 1/50 50/1 50 1/50
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The Glass Bead Game Hermann Hesse, 1941. A book about the arithmetic of God.
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The Redemption game New type of proof & Prime number structure & Proof of God's Existence. On causes & consequences, value & judgment.
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On hell ... and paradise aka 'corruption & perfection are twin concepts', 'if one get the part undoubtedly it will get the whole'.
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On repetition & sorting How repetition can hide schemes and how to leverage them to achieve to see the scheme instead of his echoes.
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On the Euler’s theorem on polyhedrons Maths are too corrupted folks.