Torah_Codes / lib /entropy.py
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entropy memory views
61a2d8c
import sys
import math
class TextProcessor:
def __init__(self, texto):
self.texto = texto
def entropy(self):
simbolos = {}
total_caracteres = len(self.texto)
for caracter in self.texto:
simbolos[caracter] = simbolos.get(caracter, 0) + 1
entropia = 0
for count in simbolos.values():
probabilidad = count / total_caracteres
entropia -= probabilidad * math.log2(probabilidad)
return simbolos, entropia
def common_string(self, cadena1, cadena2):
longitud1 = len(cadena1)
longitud2 = len(cadena2)
comun = ''
subcadenas_comunes = []
for i in range(longitud1):
for j in range(longitud2):
k = 0
while (i+k < longitud1 and j+k < longitud2 and cadena1[i+k] == cadena2[j+k]):
k += 1
if k > 0:
subcadenas_comunes.append(cadena1[i:i+k])
if subcadenas_comunes:
comun = max(subcadenas_comunes, key=len)
return comun
def magic_split(self):
unique_symbols = set(self.texto)
symbol_distances = {}
for symbol in unique_symbols:
indices = [i for i, char in enumerate(self.texto) if char == symbol]
if len(indices) > 1:
distances = [indices[i + 1] - indices[i] for i in range(len(indices) - 1)]
symbol_distances[symbol] = distances
variation = {symbol: max(distances) - min(distances) for symbol, distances in symbol_distances.items() if distances}
mins = {}
for v in variation:
if variation[v]!=0 and variation[v]!=1:
mins[v] = variation[v]
best_symbol = min(mins, key=mins.get)
return best_symbol
def rotate_string(self, string, n):
indice = n % len(string)
string_rotado = string[indice:] + string[:indice]
return string_rotado
def rotate_compare(self, tokiA, tokiB):
if tokiA >= tokiB:
tokA = tokiA
tokB = tokiB
ltokA = len(tokA)
else:
tokA = tokiB
tokB = tokiA
ltokA = len(tokB)
i = 0
rotations = {}
while i < ltokA:
tokrotated = self.rotate_string(tokA, i)
rotations[str(i)] = self.common_string(tokrotated, tokB)
i += 1
best_r = ""
for x in rotations:
lb = len(best_r)
rot = rotations[x]
lrot = len(rot)
if lrot > 1 and lrot < ltokA and lrot > lb:
best_r = rot
return best_r
def get_subTokens(self, spl):
sub_tokens = self.texto.split(spl)
toks = []
for tok in sub_tokens:
for tok2 in sub_tokens:
if tok != tok2:
toks.append(self.rotate_compare(tok, tok2))
return list(set(toks))
def tokenize(self, spliter_optimo):
tokens = self.get_subTokens(spliter_optimo)
tokenized_sentence = {}
chunk = self.texto.split(spliter_optimo)
for txt in chunk:
best_split = ""
for tok in tokens:
if tok != "":
lt = len(tok)
lb = len(best_split)
spltxt = txt.split(tok)
if len(spltxt) > 1:
l0 = len(spltxt[0])
l1 = len(spltxt[1])
if lt < len(txt) and lt > lb:
best_split = tok
tokenized_sentence[txt] = " " + spltxt[0] + "-" + tok + "-" + spltxt[1]
return tokenized_sentence