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Utils.py
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import numpy as np
from config import window_size,results_path
from sklearn.model_selection import train_test_split
from keras.utils import to_categorical
import fitz
class Generate_Dataset():
def __init__(self,Dataset,window_size):
self.Dataset = Dataset
self.window_size = window_size
def chopper(self):
chop=list(range(self.window_size))
chDataset=np.delete(self.Dataset,chop,0)
return chDataset
def sequencer(self):
sample=0
sDataset=[]
SDataset=[]
while sample<len(self.Dataset)-self.window_size:
for time_step in range(self.window_size):
sDataset.append(self.Dataset[sample+time_step])
sample+=1
SDataset.append(sDataset)
sDataset=[]
return SDataset
def LSTM_dataset(self):
sequenced=self.sequencer()
DatasetLSTM=np.asarray(sequenced)
return DatasetLSTM
def CNN_dataset(self):
DatasetCNN = self.chopper()
return DatasetCNN
def generate(self):
Ts_DatasetCNN = self.CNN_dataset()
Ts_DatasetLSTM = self.LSTM_dataset()
X_testCNN=np.reshape(Ts_DatasetCNN,(Ts_DatasetCNN.shape[0],Ts_DatasetCNN.shape[1],Ts_DatasetCNN.shape[2],1))
X_testLSTM=np.reshape(Ts_DatasetLSTM,(Ts_DatasetLSTM.shape[0],Ts_DatasetLSTM.shape[1],Ts_DatasetLSTM.shape[2],Ts_DatasetLSTM.shape[3],1))
return X_testCNN,X_testLSTM
class SplitPDF():
def __init__(self,PDF_Path,EOD):
self.PDF_Path = PDF_Path
self.EOD = EOD
self.EODIndx = []
self.EOD2Indx()
def EOD2Indx(self):
indx = window_size
for EOD in self.EOD:
if EOD ==1:
self.EODIndx.append(indx)
indx+=1
def split(self):
doc = fitz.open(self.PDF_Path)
for i in range(1,len(self.EODIndx)):
if i == 1:
newDoc = fitz.open()
newDoc.insertPDF(doc, to_page = self.EODIndx[0])
newDoc.save(results_path+str((self.EODIndx[0]+1))+'.pdf')
newDoc.close()
newDoc = fitz.open()
newDoc.insertPDF(doc, from_page = self.EODIndx[i-1]+1 ,to_page = self.EODIndx[i])
newDoc.save(results_path+str((self.EODIndx[i]+1))+'.pdf')
newDoc.close()