import pandas as pd

# Read word_scores2.csv
word_scores = pd.read_csv('word_scores2.csv')

# Read matrix2.csv
matrix2 = pd.read_csv('matrix5.csv', header=None)

# Initialize an empty matrix
output_matrix = []

# Iterate through each row in word_scores
for index, row in word_scores.iterrows():
    score = row['Score']
    
    # If the score is 0, add a row of zeros to the output matrix
    if score == 0:
        output_matrix.append([0] * 6)
    # If the score is 1, use the corresponding row from matrix2.csv
    elif score == 1:
        output_matrix.append(matrix2.iloc[index % len(matrix2)].tolist())

# Convert the output_matrix to a DataFrame
result_output_matrix = pd.DataFrame(output_matrix, columns=['Col1', 'Col2', 'Col3', 'Col4', 'Col5', 'Col6'])

# Save the result_output_matrix to a CSV file without a header
result_output_matrix.to_csv('loopnum.csv', header=False, index=False)