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import numpy as np
from itertools import product  # To generate all binary combinations
 
# Initialisierung der Schwellenwerte
lower_threshold = 0.8
upper_threshold = 1.2
 
# Lernrate
learning_rate = 0.1
 
# Trainingsdaten (Inputs für das XOR-Problem und andere)
inputs = [[0, 0], [0, 1], [1, 0], [1, 1]]
 
# Alle möglichen Zieltabellen (16 Kombinationen)
all_possible_targets = list(product([0, 1], repeat=4))
 
# Trainingsloop für jede mögliche Zieltabelle
for table_index, targets in enumerate(all_possible_targets, start=1):
    print(f"\n=== Wahrheitstabelle {table_index}: Targets = {targets} ===")
 
    # Trainingsloop mit max. 1000 Iterationen
    max_iterations = 1000
    epoch = 0
    network_trained = False
    start_weights = None
    final_weights = None
    final_bias = None
    all_epoch_outputs = []  # Store outputs of all epochs for debugging and transparency
 
    while epoch < max_iterations:
        epoch += 1
        all_correct = True  # Flag, um zu überprüfen, ob alle Ausgaben korrekt sind
        current_weights = np.random.rand(2)  # Zufällige Startgewichte (nur positive Werte)
        bias = np.random.rand()  # Randomly initialize the bias term for this epoch
 
        if epoch == 1:  # Die erste Iteration nach Initialisierung
            start_weights = current_weights  # Speichere die Startgewichte
 
        epoch_outputs = []  # To store outputs of this epoch
 
        for input_vector, target in zip(inputs, targets):
            # Berechnung der gewichteten Summe mit Bias
            weighted_sum = np.dot(input_vector, current_weights) + bias
 
            # Aktivierungsfunktion (einfache Schwellenwertfunktion)
            output = 1 if lower_threshold < weighted_sum < upper_threshold else 0
 
            # Fehlerberechnung
            error = target - output
 
            # Wenn ein Fehler vorliegt, dann weise die Gewichte an
            if error != 0:
                all_correct = False
                current_weights += learning_rate * error * np.array(input_vector)
                bias += learning_rate * error  # Update the bias
 
            epoch_outputs.append((input_vector, output, target))  # Save each iteration's output
 
        all_epoch_outputs.append(epoch_outputs)
 
        # Überprüfe, ob alle Ausgaben korrekt sind
        if all_correct:
            network_trained = True
            final_weights = current_weights  # Speichere die finalen Gewichte
            final_bias = bias  # Speichere die finale Bias
            break  # Stoppe, wenn alle Ausgaben korrekt sind
 
        # Wenn Tabelle nach 100 Iterationen nicht gelernt wurde, setze neue zufällige Startgewichte
        if epoch % 100 == 0:
            print(f"Nicht funktionierende Startgewichte: {start_weights}")
            start_weights = np.random.rand(2)  # Setze neue Startgewichte
 
    if network_trained:
        print(f"Das Netzwerk hat Wahrheitstabelle {table_index} korrekt nach {epoch} Iterationen gelernt.")
        print(f"Die Working Startgewichte waren: {start_weights}")
        print(f"Die finalen Gewichte sind: {final_weights}")
        print(f"Der finale Bias ist: {final_bias}")
 
        # Testen des Netzwerks nach den Lern-Iterationen
        print("\nFinal Test Output:")
        for input_vector, target in zip(inputs, targets):
            weighted_sum = np.dot(input_vector, final_weights) + final_bias
            output = 1 if lower_threshold < weighted_sum < upper_threshold else 0
            print(f"Input: {input_vector}, Target: {target}, Output: {output}")
 
        # Optionally, print out the outputs of each epoch for transparency
        print("\nEpoch Outputs:")
        for epoch_index, epoch_outputs in enumerate(all_epoch_outputs):
            print(f"Epoch {epoch_index + 1}:")
            for input_vector, output, target in epoch_outputs:
                print(f"  Input: {input_vector}, Output: {output}, Target: {target}")
 
    else:
        print(f"Das Netzwerk hat Wahrheitstabelle {table_index} nach {epoch} Iterationen nicht korrekt gelernt.")

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Success #stdin #stdout 0.48s 29340KB

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Standard input is empty

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=== Wahrheitstabelle 1: Targets = (0, 0, 0, 0) ===
Das Netzwerk hat Wahrheitstabelle 1 korrekt nach 8 Iterationen gelernt.
Die Working Startgewichte waren: [0.79198681 0.54415176]
Die finalen Gewichte sind: [0.97673763 0.64299294]
Der finale Bias ist: 0.6723320939161155

Final Test Output:
Input: [0, 0], Target: 0, Output: 0
Input: [0, 1], Target: 0, Output: 0
Input: [1, 0], Target: 0, Output: 0
Input: [1, 1], Target: 0, Output: 0

Epoch Outputs:
Epoch 1:
  Input: [0, 0], Output: 1, Target: 0
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 0, Target: 0
  Input: [1, 1], Output: 0, Target: 0
Epoch 2:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 1, Target: 0
  Input: [1, 0], Output: 1, Target: 0
  Input: [1, 1], Output: 1, Target: 0
Epoch 3:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 1, Target: 0
  Input: [1, 1], Output: 1, Target: 0
Epoch 4:
  Input: [0, 0], Output: 1, Target: 0
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 1, Target: 0
  Input: [1, 1], Output: 0, Target: 0
Epoch 5:
  Input: [0, 0], Output: 1, Target: 0
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 0, Target: 0
  Input: [1, 1], Output: 0, Target: 0
Epoch 6:
  Input: [0, 0], Output: 1, Target: 0
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 0, Target: 0
  Input: [1, 1], Output: 0, Target: 0
Epoch 7:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 1, Target: 0
  Input: [1, 1], Output: 0, Target: 0
Epoch 8:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 0, Target: 0
  Input: [1, 1], Output: 0, Target: 0

=== Wahrheitstabelle 2: Targets = (0, 0, 0, 1) ===
Das Netzwerk hat Wahrheitstabelle 2 korrekt nach 3 Iterationen gelernt.
Die Working Startgewichte waren: [0.90177675 0.77285735]
Die finalen Gewichte sind: [0.58676608 0.46874324]
Der finale Bias ist: 0.13795479175927794

Final Test Output:
Input: [0, 0], Target: 0, Output: 0
Input: [0, 1], Target: 0, Output: 0
Input: [1, 0], Target: 0, Output: 0
Input: [1, 1], Target: 1, Output: 1

Epoch Outputs:
Epoch 1:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 1, Target: 0
  Input: [1, 0], Output: 0, Target: 0
  Input: [1, 1], Output: 0, Target: 1
Epoch 2:
  Input: [0, 0], Output: 1, Target: 0
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 1, Target: 0
  Input: [1, 1], Output: 0, Target: 1
Epoch 3:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 0, Target: 0
  Input: [1, 1], Output: 1, Target: 1

=== Wahrheitstabelle 3: Targets = (0, 0, 1, 0) ===
Das Netzwerk hat Wahrheitstabelle 3 korrekt nach 2 Iterationen gelernt.
Die Working Startgewichte waren: [0.91774233 0.80044372]
Die finalen Gewichte sind: [0.74139342 0.90522727]
Der finale Bias ist: 0.41377989441018503

Final Test Output:
Input: [0, 0], Target: 0, Output: 0
Input: [0, 1], Target: 0, Output: 0
Input: [1, 0], Target: 1, Output: 1
Input: [1, 1], Target: 0, Output: 0

Epoch Outputs:
Epoch 1:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 1, Target: 0
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 2:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 0

=== Wahrheitstabelle 4: Targets = (0, 0, 1, 1) ===
Das Netzwerk hat Wahrheitstabelle 4 korrekt nach 13 Iterationen gelernt.
Die Working Startgewichte waren: [0.51943671 0.28999208]
Die finalen Gewichte sind: [0.78652848 0.02634704]
Der finale Bias ist: 0.10610313541778615

Final Test Output:
Input: [0, 0], Target: 0, Output: 0
Input: [0, 1], Target: 0, Output: 0
Input: [1, 0], Target: 1, Output: 1
Input: [1, 1], Target: 1, Output: 1

Epoch Outputs:
Epoch 1:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 1, Target: 0
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 2:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 3:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 1, Target: 0
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 4:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 1, Target: 0
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 5:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 6:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 7:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 1, Target: 0
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 8:
  Input: [0, 0], Output: 1, Target: 0
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 9:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 10:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 11:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 12:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 1, Target: 0
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 13:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 1, Target: 1

=== Wahrheitstabelle 5: Targets = (0, 1, 0, 0) ===
Das Netzwerk hat Wahrheitstabelle 5 korrekt nach 3 Iterationen gelernt.
Die Working Startgewichte waren: [-0.00939843  0.82043627]
Die finalen Gewichte sind: [0.02190181 0.96911264]
Der finale Bias ist: 0.21056663449368096

Final Test Output:
Input: [0, 0], Target: 0, Output: 0
Input: [0, 1], Target: 1, Output: 1
Input: [1, 0], Target: 0, Output: 0
Input: [1, 1], Target: 0, Output: 0

Epoch Outputs:
Epoch 1:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 0
  Input: [1, 1], Output: 1, Target: 0
Epoch 2:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 0
  Input: [1, 1], Output: 0, Target: 0
Epoch 3:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 0
  Input: [1, 1], Output: 0, Target: 0

=== Wahrheitstabelle 6: Targets = (0, 1, 0, 1) ===
Das Netzwerk hat Wahrheitstabelle 6 korrekt nach 11 Iterationen gelernt.
Die Working Startgewichte waren: [1.07398913 0.79405459]
Die finalen Gewichte sind: [0.1418374  0.94780496]
Der finale Bias ist: 0.10759294239687878

Final Test Output:
Input: [0, 0], Target: 0, Output: 0
Input: [0, 1], Target: 1, Output: 1
Input: [1, 0], Target: 0, Output: 0
Input: [1, 1], Target: 1, Output: 1

Epoch Outputs:
Epoch 1:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 0
  Input: [1, 1], Output: 0, Target: 1
Epoch 2:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 0
  Input: [1, 1], Output: 0, Target: 1
Epoch 3:
  Input: [0, 0], Output: 1, Target: 0
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 0
  Input: [1, 1], Output: 0, Target: 1
Epoch 4:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 0
  Input: [1, 1], Output: 1, Target: 1
Epoch 5:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 0
  Input: [1, 1], Output: 0, Target: 1
Epoch 6:
  Input: [0, 0], Output: 1, Target: 0
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 0
  Input: [1, 1], Output: 0, Target: 1
Epoch 7:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 0
  Input: [1, 1], Output: 0, Target: 1
Epoch 8:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 1, Target: 0
  Input: [1, 1], Output: 0, Target: 1
Epoch 9:
  Input: [0, 0], Output: 1, Target: 0
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 0
  Input: [1, 1], Output: 0, Target: 1
Epoch 10:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 0
  Input: [1, 1], Output: 0, Target: 1
Epoch 11:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 0
  Input: [1, 1], Output: 1, Target: 1

=== Wahrheitstabelle 7: Targets = (0, 1, 1, 0) ===
Das Netzwerk hat Wahrheitstabelle 7 korrekt nach 12 Iterationen gelernt.
Die Working Startgewichte waren: [1.05727945 0.28242841]
Die finalen Gewichte sind: [0.68554615 0.60195374]
Der finale Bias ist: 0.3258317633274491

Final Test Output:
Input: [0, 0], Target: 0, Output: 0
Input: [0, 1], Target: 1, Output: 1
Input: [1, 0], Target: 1, Output: 1
Input: [1, 1], Target: 0, Output: 0

Epoch Outputs:
Epoch 1:
  Input: [0, 0], Output: 1, Target: 0
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 2:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 3:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 4:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 5:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 6:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 7:
  Input: [0, 0], Output: 1, Target: 0
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 8:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 9:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 10:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 11:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 12:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 0

=== Wahrheitstabelle 8: Targets = (0, 1, 1, 1) ===
Das Netzwerk hat Wahrheitstabelle 8 korrekt nach 24 Iterationen gelernt.
Die Working Startgewichte waren: [1.13312102 0.88309728]
Die finalen Gewichte sind: [0.1529872  0.08170848]
Der finale Bias ist: 0.7272064293831566

Final Test Output:
Input: [0, 0], Target: 0, Output: 0
Input: [0, 1], Target: 1, Output: 1
Input: [1, 0], Target: 1, Output: 1
Input: [1, 1], Target: 1, Output: 1

Epoch Outputs:
Epoch 1:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 2:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 3:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 1, Target: 1
Epoch 4:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 5:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 6:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 7:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 8:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 9:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 10:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 11:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 12:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 13:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 14:
  Input: [0, 0], Output: 1, Target: 0
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 15:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 16:
  Input: [0, 0], Output: 1, Target: 0
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 17:
  Input: [0, 0], Output: 1, Target: 0
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 18:
  Input: [0, 0], Output: 1, Target: 0
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 19:
  Input: [0, 0], Output: 1, Target: 0
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 20:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 21:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 22:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 23:
  Input: [0, 0], Output: 1, Target: 0
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 24:
  Input: [0, 0], Output: 0, Target: 0
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 1, Target: 1

=== Wahrheitstabelle 9: Targets = (1, 0, 0, 0) ===
Das Netzwerk hat Wahrheitstabelle 9 korrekt nach 7 Iterationen gelernt.
Die Working Startgewichte waren: [0.26326648 0.20742581]
Die finalen Gewichte sind: [0.36842205 0.70316684]
Der finale Bias ist: 0.8424291732913616

Final Test Output:
Input: [0, 0], Target: 1, Output: 1
Input: [0, 1], Target: 0, Output: 0
Input: [1, 0], Target: 0, Output: 0
Input: [1, 1], Target: 0, Output: 0

Epoch Outputs:
Epoch 1:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 0, Target: 0
  Input: [1, 1], Output: 0, Target: 0
Epoch 2:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 0
  Input: [1, 0], Output: 1, Target: 0
  Input: [1, 1], Output: 0, Target: 0
Epoch 3:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 0, Target: 0
  Input: [1, 1], Output: 0, Target: 0
Epoch 4:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 1, Target: 0
  Input: [1, 1], Output: 0, Target: 0
Epoch 5:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 0
  Input: [1, 0], Output: 0, Target: 0
  Input: [1, 1], Output: 1, Target: 0
Epoch 6:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 1, Target: 0
  Input: [1, 1], Output: 0, Target: 0
Epoch 7:
  Input: [0, 0], Output: 1, Target: 1
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 0, Target: 0
  Input: [1, 1], Output: 0, Target: 0

=== Wahrheitstabelle 10: Targets = (1, 0, 0, 1) ===
Nicht funktionierende Startgewichte: [0.14018326 0.77051189]
Nicht funktionierende Startgewichte: [0.24235333 0.47328857]
Nicht funktionierende Startgewichte: [0.29926289 0.8825035 ]
Nicht funktionierende Startgewichte: [0.98886176 0.79102067]
Nicht funktionierende Startgewichte: [0.92666328 0.39854702]
Nicht funktionierende Startgewichte: [0.2220513  0.05297827]
Nicht funktionierende Startgewichte: [0.37476609 0.43114177]
Nicht funktionierende Startgewichte: [0.48196683 0.0878386 ]
Nicht funktionierende Startgewichte: [0.01713097 0.94993234]
Nicht funktionierende Startgewichte: [0.63262587 0.38700363]
Das Netzwerk hat Wahrheitstabelle 10 nach 1000 Iterationen nicht korrekt gelernt.

=== Wahrheitstabelle 11: Targets = (1, 0, 1, 0) ===
Das Netzwerk hat Wahrheitstabelle 11 korrekt nach 40 Iterationen gelernt.
Die Working Startgewichte waren: [ 0.04458601 -0.03175567]
Die finalen Gewichte sind: [0.24387195 0.50449809]
Der finale Bias ist: 0.8544634974566705

Final Test Output:
Input: [0, 0], Target: 1, Output: 1
Input: [0, 1], Target: 0, Output: 0
Input: [1, 0], Target: 1, Output: 1
Input: [1, 1], Target: 0, Output: 0

Epoch Outputs:
Epoch 1:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 1, Target: 0
Epoch 2:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 3:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 0
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 4:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 0
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 5:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 6:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 0
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 7:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 8:
  Input: [0, 0], Output: 1, Target: 1
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 9:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 10:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 0
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 11:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 0
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 1, Target: 0
Epoch 12:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 1, Target: 0
Epoch 13:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 14:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 15:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 16:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 17:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 18:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 19:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 20:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 0
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 1, Target: 0
Epoch 21:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 0
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 22:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 0
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 23:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 0
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 24:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 0
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 1, Target: 0
Epoch 25:
  Input: [0, 0], Output: 1, Target: 1
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 26:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 0
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 27:
  Input: [0, 0], Output: 1, Target: 1
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 28:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 29:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 0
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 30:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 0
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 31:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 32:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 1, Target: 0
Epoch 33:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 1, Target: 0
Epoch 34:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 35:
  Input: [0, 0], Output: 1, Target: 1
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 36:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 1, Target: 0
Epoch 37:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 1, Target: 0
Epoch 38:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 1, Target: 0
Epoch 39:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 0
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 1, Target: 0
Epoch 40:
  Input: [0, 0], Output: 1, Target: 1
  Input: [0, 1], Output: 0, Target: 0
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 0

=== Wahrheitstabelle 12: Targets = (1, 0, 1, 1) ===
Nicht funktionierende Startgewichte: [0.41151359 0.5790887 ]
Nicht funktionierende Startgewichte: [0.74166198 0.24974337]
Nicht funktionierende Startgewichte: [0.1905432  0.24141266]
Nicht funktionierende Startgewichte: [0.56944323 0.45714785]
Nicht funktionierende Startgewichte: [0.26697318 0.64857771]
Nicht funktionierende Startgewichte: [0.59322687 0.45742844]
Nicht funktionierende Startgewichte: [0.82549091 0.99004356]
Nicht funktionierende Startgewichte: [0.29547281 0.1640646 ]
Nicht funktionierende Startgewichte: [0.90567294 0.51380785]
Nicht funktionierende Startgewichte: [0.90615912 0.65291827]
Das Netzwerk hat Wahrheitstabelle 12 nach 1000 Iterationen nicht korrekt gelernt.

=== Wahrheitstabelle 13: Targets = (1, 1, 0, 0) ===
Das Netzwerk hat Wahrheitstabelle 13 korrekt nach 4 Iterationen gelernt.
Die Working Startgewichte waren: [0.81441676 0.27245453]
Die finalen Gewichte sind: [0.53725299 0.31232216]
Der finale Bias ist: 0.8831803415070067

Final Test Output:
Input: [0, 0], Target: 1, Output: 1
Input: [0, 1], Target: 1, Output: 1
Input: [1, 0], Target: 0, Output: 0
Input: [1, 1], Target: 0, Output: 0

Epoch Outputs:
Epoch 1:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 0
  Input: [1, 1], Output: 0, Target: 0
Epoch 2:
  Input: [0, 0], Output: 1, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 0
  Input: [1, 1], Output: 0, Target: 0
Epoch 3:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 1, Target: 0
  Input: [1, 1], Output: 1, Target: 0
Epoch 4:
  Input: [0, 0], Output: 1, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 0
  Input: [1, 1], Output: 0, Target: 0

=== Wahrheitstabelle 14: Targets = (1, 1, 0, 1) ===
Nicht funktionierende Startgewichte: [0.54220401 1.0420626 ]
Nicht funktionierende Startgewichte: [0.02123254 0.17547187]
Nicht funktionierende Startgewichte: [0.5267869  0.81816837]
Nicht funktionierende Startgewichte: [0.3109622  0.66906488]
Nicht funktionierende Startgewichte: [0.23279579 0.68796052]
Nicht funktionierende Startgewichte: [0.37118363 0.24712997]
Nicht funktionierende Startgewichte: [0.6859808  0.08959029]
Nicht funktionierende Startgewichte: [0.57650016 0.57009832]
Nicht funktionierende Startgewichte: [0.81869572 0.83305522]
Nicht funktionierende Startgewichte: [0.74344556 0.82125252]
Das Netzwerk hat Wahrheitstabelle 14 nach 1000 Iterationen nicht korrekt gelernt.

=== Wahrheitstabelle 15: Targets = (1, 1, 1, 0) ===
Das Netzwerk hat Wahrheitstabelle 15 korrekt nach 24 Iterationen gelernt.
Die Working Startgewichte waren: [0.86234029 0.60193411]
Die finalen Gewichte sind: [0.33409687 0.37850994]
Der finale Bias ist: 0.8104543484429535

Final Test Output:
Input: [0, 0], Target: 1, Output: 1
Input: [0, 1], Target: 1, Output: 1
Input: [1, 0], Target: 1, Output: 1
Input: [1, 1], Target: 0, Output: 0

Epoch Outputs:
Epoch 1:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 2:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 3:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 4:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 1, Target: 0
Epoch 5:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 6:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 7:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 8:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 9:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 10:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 11:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 12:
  Input: [0, 0], Output: 1, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 13:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 1, Target: 0
Epoch 14:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 15:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 16:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 17:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 18:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 19:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 20:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 21:
  Input: [0, 0], Output: 1, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 22:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 23:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 0
Epoch 24:
  Input: [0, 0], Output: 1, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 0

=== Wahrheitstabelle 16: Targets = (1, 1, 1, 1) ===
Nicht funktionierende Startgewichte: [1.11003187 1.16750026]
Das Netzwerk hat Wahrheitstabelle 16 korrekt nach 105 Iterationen gelernt.
Die Working Startgewichte waren: [0.08868685 0.73585111]
Die finalen Gewichte sind: [0.04165402 0.00041247]
Der finale Bias ist: 0.9202810371242847

Final Test Output:
Input: [0, 0], Target: 1, Output: 1
Input: [0, 1], Target: 1, Output: 1
Input: [1, 0], Target: 1, Output: 1
Input: [1, 1], Target: 1, Output: 1

Epoch Outputs:
Epoch 1:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 2:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 3:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 1, Target: 1
Epoch 4:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 5:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 6:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 1, Target: 1
Epoch 7:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 8:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 1, Target: 1
Epoch 9:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 10:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 11:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 12:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 1, Target: 1
Epoch 13:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 14:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 15:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 16:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 17:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 18:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 19:
  Input: [0, 0], Output: 1, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 20:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 21:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 22:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 23:
  Input: [0, 0], Output: 1, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 24:
  Input: [0, 0], Output: 1, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 25:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 26:
  Input: [0, 0], Output: 1, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 27:
  Input: [0, 0], Output: 1, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 28:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 29:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 30:
  Input: [0, 0], Output: 1, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 31:
  Input: [0, 0], Output: 1, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 32:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 1, Target: 1
Epoch 33:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 34:
  Input: [0, 0], Output: 1, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 35:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 36:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 37:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 38:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 39:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 40:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 1, Target: 1
Epoch 41:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 1, Target: 1
Epoch 42:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 43:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 44:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 45:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 46:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 47:
  Input: [0, 0], Output: 1, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 48:
  Input: [0, 0], Output: 1, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 49:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 50:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 51:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 52:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 53:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 54:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 55:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 56:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 57:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 58:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 59:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 60:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 61:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 62:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 63:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 64:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 65:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 66:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 1, Target: 1
Epoch 67:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 68:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 69:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 1, Target: 1
Epoch 70:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 71:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 72:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 1, Target: 1
Epoch 73:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 74:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 75:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 76:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 77:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 78:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 79:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 80:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 1, Target: 1
Epoch 81:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 82:
  Input: [0, 0], Output: 1, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 83:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 84:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 85:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 86:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 87:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 88:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 89:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 1, Target: 1
Epoch 90:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 91:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 92:
  Input: [0, 0], Output: 1, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 93:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 94:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 1, Target: 1
Epoch 95:
  Input: [0, 0], Output: 1, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 96:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 97:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 98:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 99:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 1, Target: 1
Epoch 100:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 101:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 102:
  Input: [0, 0], Output: 1, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 103:
  Input: [0, 0], Output: 0, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 104:
  Input: [0, 0], Output: 1, Target: 1
  Input: [0, 1], Output: 0, Target: 1
  Input: [1, 0], Output: 0, Target: 1
  Input: [1, 1], Output: 0, Target: 1
Epoch 105:
  Input: [0, 0], Output: 1, Target: 1
  Input: [0, 1], Output: 1, Target: 1
  Input: [1, 0], Output: 1, Target: 1
  Input: [1, 1], Output: 1, Target: 1

https://ideone.com/TRQpUy

language:

Python 3 (python 3.9.5)

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public

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