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biblecodes 1.0.5
Torah Bible Codes - David Ben Zelateh v1.0.4
Torah Bible Codes , An understandable multilanguaje and multithreading bible codes . Study the Torah as never before
Install
pip3 install torahbiblecodes
tbc-cli
Usage
tbc-cli on terminal if install on system
Run main program
use conversions
Load module
searchnumber x
Example
conversions> searchnumber 33
Book: joshua
Yahweh, the God of the Father, the Father of Jesus
Book: jonah
The three-year-old is not the religion of the Reich.
Book: job
From the time of his death, he was delayed in the procession
Book: lamentations
In it, there is no doubt that the power of the motherfucker is to increase the number of people who are in need of help.
Book: judges
They are the first two days in the history of the Lord of Hosts.
In the case of a subdivision, a new law applies to the daughter of the one who is still living in the city, and in the case of the Rishon LeZion, there is a plan for the army
Book: IIkings
In the name of the Lord of the Covenant, the Lord of Hosts, Yes, I will speak to the great thunder of the thunder, and I will hear the voice of the Lord
Search ELS at x space distance .
search words
Convert words to numbers in gematria, sums and executes ELS function over sumatory distances.
Modules
Conversions , search and make conversion
Multihread ELS search
XGBOOST sequences ELS search
PROBNET sequences ELS search
Words to gematria and viceversa
Search over the raw books.
Big Data , Elasticsearch & Kibana Module
Baphomet Telegram Bot
Simple use from your Telegram Chat
Add @Baphomet_telegram_bot on your telegram
Write
/start
you are ready !!
Equidistant Letter Sequences (ELS)
Witztum, Rips, and Rosenberg (WRR) define an Equidistant Letter Sequence (ELS) as a sequence of letters in the text whose positions - not counting spaces - form an arithmetic progression. That is to say the letters are found at the positions
n, n + d, n + 2d, ..., n + (k - 1)d
WRR define n as the start, d as the skip between letters in the search-term, and k as the length of the ELS. These three parameters uniquely identify the ELS which is denoted (n, d, k).
Probability of sequence existence
A way to ensure the faith in the method is directly linked to the probability of generate common sense sentences from the ELS algorithm, is not the same search words of 8 digits than 16 inside the same number of characters (each book)
We need to estimate propertly the probability of ELS generated sequences , is normal appears 100 symbols repetly ? , or long sentence describing modern cities ?, how plausible is something ?
Many uninitiated in kabala might think the results are gimmicks or casual . A math indicators will convince the unitiated .
Probable encoded sentences
The sencente have a logical estructure and can be True Or False
The sentence gematria sumatory value respect to the global number of characters need to be smaller than 10, you can adjust the percentege to ensure the results over the random entropy of the data .
H(nbook_chars) == H(nRandom)
Holy Books Forecasting
Artificial intelligence methods allow us to make more complex calculations over pre trained models, or extract the function informacion of a dataset to compose a function.
By this way we can extend the ELS methods as a infinite data series .
AI ELS methods
Extending books
Pre train a model with a holy book, and generate alternative futures over the end .
Extending gematria datasets
Converting words to gematria and extending to infinite as a sequence
XGboost pattern (XG-ELS, search for unprobable patterns based on linear regresions
Convert word to gematria sequence , extend sequence with xgboost prediction until user selection number of loops, sum sequence, search for ELS
Load book, extend him until user selection , search by ELS
Gematria regressor classificator and forecasting
Support for Missing Data
Probnet deterministic geometric or arithmetic functions sequences
Convert word to gematria sequence , extend sequence with xgboost prediction until user selection number of loops, sum sequence, search for ELS
Load book, extend him until user selection , search by ELS
Gematria geometric classificator
Gematria arithmetic classificator
Baphomet AI model
XGBOOST (Work on progress training models over linear regresion)
Pretained genesis and original repository books of Torah Bible Code
Allow to generate new book ends and order permutations .
An artificial intelligence algorithm can priorize order combinations with the trained common sense of the "pre ordered Torah", reducing computation costs to find results .
Torah encoding analisys
Language symbols
Geometry
Gematria
Symbol Frequency in Holy writings
Shannon's Entropy
Functional encoding patterns
Information density
Kabala derivations
Past, Present and Future
Similar sentences to other antique books
TorahBibleCodes python module
Import module class
from torahbiblecodes.resources.func.torah import *
torah = Torah()
Gematria
response_ge = torah.gematrix(listform)
response_ge = torah.gematria(options[0].strip())
Els
response_els, tvalue = torah.els(bookNumber, gematriaNumber, tracert='false')
Translate
text_translate = torah.func_translate('iw', 'en', response_els)
Authors
Citrix
Hecathomb
TorahBibleCodes - https://github.com/TorahBibleCodes/TorahBibleCodes
License
Elohim Open Source
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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