alt_dataset #1
2
.gitignore
vendored
2
.gitignore
vendored
@ -57,3 +57,5 @@ docs/_build/
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Pipfile
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Pipfile.lock
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decision_tree
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decision_tree.pdf
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|
@ -1,26 +1,26 @@
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from sklearn import tree
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import pandas as pd #for manipulating the csv data
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import numpy as np
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import graphviz
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import os
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os.environ["PATH"] += os.pathsep + 'C:/Program Files (x86)/Graphviz/bin/'
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# Define the training dataset with 8 attributes and corresponding labels
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training_data = [
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[0, 0, 0, 1, 0, 1, 1, 0, 'A'],
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[1, 0, 0, 0, 1, 1, 1, 1, 'A'],
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[0, 1, 0, 1, 0, 1, 1, 1, 'B'],
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[1, 0, 0, 1, 1, 0, 1, 0, 'B'],
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[1, 1, 1, 0, 1, 0, 0, 1, 'B'],
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[0, 0, 0, 0, 1, 1, 1, 0, 'A'],
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[0, 0, 0, 1, 0, 0, 0, 0, 'B'],
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[1, 1, 0, 1, 1, 1, 0, 1, 'A'],
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[0, 0, 0, 0, 0, 0, 1, 1, 'B'],
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[1, 0, 1, 0, 0, 1, 0, 0, 'B']
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]
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#train_data_m = pd.read_csv("dataset.csv") #importing the dataset from the disk
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train_data_m=np.genfromtxt("dataset.csv", delimiter=",",skip_header=1);
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#print(train_data_m)
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# print(train_data_m) #viewing some row of the dataset
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# Separate the attributes and labels
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X_train = [data[:-1] for data in training_data]
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y_train = [data[-1] for data in training_data]
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#X_train = [data[:-1] for data in training_data]
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#y_train = [data[-1] for data in training_data]
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X_train = [data[:-1] for data in train_data_m]
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y_train = [data[-1] for data in train_data_m]
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#X_train = pd.get_dummies(data[:-1] for data in train_data_m)
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#print(X_train)
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#print(y_train)
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# Create the decision tree classifier using the ID3 algorithm
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clf = tree.DecisionTreeClassifier(criterion='entropy')
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@ -28,11 +28,12 @@ clf = tree.DecisionTreeClassifier(criterion='entropy')
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clf.fit(X_train, y_train)
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# Visualize the trained decision tree
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dot_data = tree.export_graphviz(clf, out_file=None, feature_names=['Attr1', 'Attr2', 'Attr3', 'Attr4', 'Attr5', 'Attr6', 'Attr7', 'Attr8'], class_names=['A', 'B'], filled=True)
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dot_data = tree.export_graphviz(clf, out_file=None, feature_names=['Attr1', 'Attr2', 'Attr3', 'Attr4', 'Attr5', 'Attr6', 'Attr7'], class_names=['YES', 'NO'], filled=True)
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graph = graphviz.Source(dot_data)
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graph.render("decision_tree") # Save the visualization as a PDF file
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# Test the decision tree with a new example
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new_example = [1, 0, 0, 1, 1, 0, 0, 1] # Example with 8 attributes
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#new_example = [1, 0, 0, 1, 1, 0, 0, 1] # Example with 8 attributes
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new_example = [2, 0, 0, 1, 1 ,2, 1] # Example with 8 attributes
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predicted_label = clf.predict([new_example])
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print("Predicted Label:", predicted_label[0])
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288
dataset.csv
Normal file
288
dataset.csv
Normal file
@ -0,0 +1,288 @@
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||||
3,1,1,1,1,3,1,0
|
||||
3,1,1,1,1,3,0,0
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3,1,1,1,1,2,1,0
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3,1,1,1,1,2,0,0
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3,1,1,1,1,1,1,0
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3,1,1,1,1,1,0,0
|
||||
3,1,1,1,0,3,1,0
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||||
3,1,1,1,0,3,0,0
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||||
3,1,1,1,0,2,1,0
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||||
3,1,1,1,0,2,0,0
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3,1,1,1,0,1,1,0
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3,1,1,1,0,1,0,0
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3,1,1,0,1,3,1,0
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3,1,1,0,1,3,0,0
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3,1,1,0,1,2,1,0
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3,1,1,0,1,2,0,0
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3,1,1,0,1,1,1,0
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3,1,1,0,1,1,0,0
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3,1,1,0,0,3,1,0
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3,1,1,0,0,3,0,0
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3,1,1,0,0,2,1,0
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3,1,1,0,0,1,1,0
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3,1,1,0,0,1,0,0
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3,1,0,1,1,3,1,0
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3,1,0,1,1,3,0,0
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3,1,0,1,1,2,1,0
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3,1,0,1,1,1,1,0
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3,1,0,1,0,3,1,0
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3,1,0,1,0,3,0,0
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3,1,0,1,0,2,1,0
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3,1,0,1,0,2,0,0
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3,1,0,1,0,1,1,0
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3,1,0,1,0,1,0,0
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3,1,0,0,1,3,1,0
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3,1,0,0,1,3,0,0
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3,1,0,0,1,2,1,0
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3,1,0,0,1,2,0,0
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3,1,0,0,1,1,1,0
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3,1,0,0,0,3,1,0
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3,1,0,0,0,2,1,0
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3,1,0,0,0,2,0,0
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3,1,0,0,0,1,1,0
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3,1,0,0,0,1,0,0
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3,0,1,1,1,3,1,0
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3,0,1,1,1,3,0,0
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3,0,1,1,1,2,1,0
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3,0,1,1,1,2,0,0
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3,0,1,1,1,1,1,0
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3,0,1,1,1,1,0,0
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3,0,1,1,0,3,1,0
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3,0,1,1,0,3,0,0
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3,0,1,1,0,2,1,0
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3,0,1,1,0,2,0,0
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3,0,1,1,0,1,1,0
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3,0,1,1,0,1,0,0
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3,0,1,0,1,3,1,0
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3,0,1,0,1,3,0,0
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3,0,1,0,1,2,1,0
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3,0,1,0,1,2,0,0
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3,0,1,0,1,1,1,0
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3,0,1,0,1,1,0,0
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3,0,1,0,0,3,1,0
|
||||
3,0,1,0,0,3,0,0
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3,0,1,0,0,2,1,0
|
||||
3,0,1,0,0,2,0,0
|
||||
3,0,1,0,0,1,1,0
|
||||
3,0,1,0,0,1,0,0
|
||||
3,0,0,1,1,3,1,0
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||||
3,0,0,1,1,3,0,0
|
||||
3,0,0,1,1,2,1,0
|
||||
3,0,0,1,1,2,0,1
|
||||
3,0,0,1,1,1,1,0
|
||||
3,0,0,1,1,1,0,1
|
||||
3,0,0,1,0,3,1,0
|
||||
3,0,0,1,0,3,0,0
|
||||
3,0,0,1,0,2,1,0
|
||||
3,0,0,1,0,2,0,0
|
||||
3,0,0,1,0,1,1,0
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||||
3,0,0,1,0,1,0,0
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||||
3,0,0,0,1,3,1,0
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||||
3,0,0,0,1,3,0,0
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||||
3,0,0,0,1,2,1,0
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3,0,0,0,1,2,0,1
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3,0,0,0,1,1,1,0
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3,0,0,0,1,1,0,1
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3,0,0,0,0,3,1,0
|
||||
3,0,0,0,0,3,0,0
|
||||
3,0,0,0,0,2,1,1
|
||||
3,0,0,0,0,2,0,1
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3,0,0,0,0,1,1,1
|
||||
3,0,0,0,0,1,0,1
|
||||
2,1,1,1,1,3,1,0
|
||||
2,1,1,1,1,3,0,0
|
||||
2,1,1,1,1,2,1,0
|
||||
2,1,1,1,1,2,0,0
|
||||
2,1,1,1,1,1,1,0
|
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2,1,1,1,1,1,0,0
|
||||
2,1,1,1,0,3,1,0
|
||||
2,1,1,1,0,3,0,0
|
||||
2,1,1,1,0,2,1,0
|
||||
2,1,1,1,0,2,0,0
|
||||
2,1,1,1,0,1,1,0
|
||||
2,1,1,1,0,1,0,0
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||||
2,1,1,0,1,3,1,0
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2,1,1,0,1,3,0,0
|
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2,1,1,0,1,2,1,0
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2,1,1,0,1,2,0,0
|
||||
2,1,1,0,1,1,1,0
|
||||
2,1,1,0,1,1,0,0
|
||||
2,1,1,0,0,3,1,0
|
||||
2,1,1,0,0,3,0,0
|
||||
2,1,1,0,0,2,1,0
|
||||
2,1,1,0,0,2,0,0
|
||||
2,1,1,0,0,1,1,0
|
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2,1,1,0,0,1,0,0
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2,1,0,1,1,3,1,0
|
||||
2,1,0,1,1,3,0,0
|
||||
2,1,0,1,1,2,1,0
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2,1,0,1,1,2,0,0
|
||||
2,1,0,1,1,1,1,0
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||||
2,1,0,1,1,1,0,0
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2,1,0,1,0,3,1,0
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2,1,0,1,0,3,0,0
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2,1,0,1,0,2,1,0
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2,1,0,1,0,2,0,0
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2,1,0,1,0,1,1,0
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2,1,0,1,0,1,0,0
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2,1,0,0,1,3,1,0
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2,1,0,0,1,3,0,0
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2,1,0,0,1,2,1,0
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2,1,0,0,1,2,0,0
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2,1,0,0,1,1,1,0
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2,1,0,0,1,1,0,0
|
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2,1,0,0,0,3,1,0
|
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2,1,0,0,0,3,0,0
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2,1,0,0,0,2,1,0
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2,1,0,0,0,2,0,0
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2,1,0,0,0,1,1,0
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2,1,0,0,0,1,0,0
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2,0,1,1,1,3,1,0
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2,0,1,1,1,3,0,0
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||||
2,0,1,1,1,2,1,0
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||||
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||||
2,0,1,1,1,1,1,0
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||||
2,0,1,1,1,1,0,0
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2,0,1,1,0,3,1,0
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||||
2,0,1,1,0,3,0,0
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||||
2,0,1,1,0,2,1,0
|
||||
2,0,1,1,0,2,0,0
|
||||
2,0,1,1,0,1,1,0
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2,0,1,1,0,1,0,0
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2,0,1,0,1,3,1,0
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2,0,1,0,1,3,0,0
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||||
2,0,1,0,1,2,1,0
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||||
2,0,1,0,1,2,0,0
|
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2,0,1,0,1,1,1,0
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2,0,1,0,1,1,0,0
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2,0,1,0,0,3,1,0
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||||
2,0,1,0,0,3,0,0
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2,0,1,0,0,2,1,0
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2,0,1,0,0,1,1,0
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2,0,1,0,0,1,0,0
|
||||
2,0,0,1,1,3,1,0
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||||
2,0,0,1,1,3,0,0
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||||
2,0,0,1,1,2,1,0
|
||||
2,0,0,1,1,2,0,1
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2,0,0,1,1,1,1,0
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2,0,0,1,1,1,0,1
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||||
2,0,0,1,0,3,1,0
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||||
2,0,0,1,0,3,0,0
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2,0,0,1,0,2,1,0
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2,0,0,1,0,2,0,0
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2,0,0,1,0,1,1,0
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2,0,0,0,1,3,1,0
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2,0,0,0,1,3,0,0
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2,0,0,0,1,2,1,0
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2,0,0,0,1,2,0,1
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2,0,0,0,1,1,1,0
|
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2,0,0,0,1,1,0,1
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2,0,0,0,0,3,1,0
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2,0,0,0,0,3,0,0
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2,0,0,0,0,2,1,1
|
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2,0,0,0,0,2,0,1
|
||||
2,0,0,0,0,1,1,1
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||||
2,0,0,0,0,1,0,1
|
||||
1,1,1,1,1,3,1,0
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||||
1,1,1,1,1,3,0,0
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1,1,1,1,1,2,1,0
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1,1,1,1,1,2,0,0
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1,1,1,1,1,1,1,0
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1,1,1,1,1,1,0,0
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1,1,1,1,0,3,1,0
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1,1,1,1,0,3,0,0
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1,1,1,1,0,2,1,0
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1,1,1,1,0,2,0,0
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1,1,1,1,0,1,1,0
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1,1,1,1,0,1,0,0
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1,1,1,0,1,3,1,0
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1,1,1,0,1,3,0,0
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1,1,1,0,1,2,1,0
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1,1,1,0,1,2,0,0
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1,1,1,0,1,1,1,0
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1,1,1,0,1,1,0,0
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1,1,1,0,0,3,1,0
|
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1,1,1,0,0,3,0,0
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1,1,1,0,0,2,1,0
|
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1,1,1,0,0,2,0,0
|
||||
1,1,1,0,0,1,1,0
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1,1,1,0,0,1,0,0
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1,1,0,1,1,3,1,0
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1,1,0,1,1,3,0,0
|
||||
1,1,0,1,1,2,1,0
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1,1,0,1,1,2,0,0
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1,1,0,1,1,1,1,0
|
||||
1,1,0,1,1,1,0,0
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1,1,0,1,0,3,1,0
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1,1,0,1,0,3,0,0
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1,1,0,1,0,2,1,0
|
||||
1,1,0,1,0,2,0,0
|
||||
1,1,0,1,0,1,1,0
|
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1,1,0,1,0,1,0,0
|
||||
1,1,0,0,1,3,1,0
|
||||
1,1,0,0,1,3,0,0
|
||||
1,1,0,0,1,2,1,0
|
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1,1,0,0,1,2,0,0
|
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1,1,0,0,1,1,1,0
|
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1,1,0,0,1,1,0,0
|
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1,1,0,0,0,3,1,0
|
||||
1,1,0,0,0,3,0,0
|
||||
1,1,0,0,0,2,1,0
|
||||
1,1,0,0,0,2,0,0
|
||||
1,1,0,0,0,1,1,0
|
||||
1,1,0,0,0,1,0,0
|
||||
1,0,1,1,1,3,1,0
|
||||
1,0,1,1,1,3,0,0
|
||||
1,0,1,1,1,2,1,0
|
||||
1,0,1,1,1,2,0,0
|
||||
1,0,1,1,1,1,1,0
|
||||
1,0,1,1,1,1,0,0
|
||||
1,0,1,1,0,3,1,0
|
||||
1,0,1,1,0,3,0,0
|
||||
1,0,1,1,0,2,1,0
|
||||
1,0,1,1,0,2,0,0
|
||||
1,0,1,1,0,1,1,0
|
||||
1,0,1,1,0,1,0,0
|
||||
1,0,1,0,1,3,1,0
|
||||
1,0,1,0,1,3,0,0
|
||||
1,0,1,0,1,2,1,0
|
||||
1,0,1,0,1,2,0,0
|
||||
1,0,1,0,1,1,1,0
|
||||
1,0,1,0,1,1,0,0
|
||||
1,0,1,0,0,3,1,0
|
||||
1,0,1,0,0,3,0,0
|
||||
1,0,1,0,0,2,1,0
|
||||
1,0,1,0,0,2,0,0
|
||||
1,0,1,0,0,1,1,0
|
||||
1,0,1,0,0,1,0,0
|
||||
1,0,0,1,1,3,1,0
|
||||
1,0,0,1,1,3,0,0
|
||||
1,0,0,1,1,2,1,0
|
||||
1,0,0,1,1,2,0,0
|
||||
1,0,0,1,1,1,1,0
|
||||
1,0,0,1,1,1,0,0
|
||||
1,0,0,1,0,3,1,0
|
||||
1,0,0,1,0,3,0,0
|
||||
1,0,0,1,0,2,1,0
|
||||
1,0,0,1,0,2,0,0
|
||||
1,0,0,1,0,1,1,0
|
||||
1,0,0,1,0,1,0,0
|
||||
1,0,0,0,1,3,1,0
|
||||
1,0,0,0,1,3,0,0
|
||||
1,0,0,0,1,2,1,0
|
||||
1,0,0,0,1,2,0,0
|
||||
1,0,0,0,1,1,1,0
|
||||
1,0,0,0,1,1,0,0
|
||||
1,0,0,0,0,3,1,0
|
||||
1,0,0,0,0,3,0,0
|
||||
1,0,0,0,0,2,1,0
|
||||
1,0,0,0,0,2,0,0
|
||||
1,0,0,0,0,1,1,0
|
||||
1,0,0,0,0,1,0,0
|
|
Loading…
Reference in New Issue
Block a user