import pandas as pd

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

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

# Initialize an empty matrix
output_matrix = []

# Initialize a variable to keep track of the position in matrix5
matrix_position = 0

# 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 matrix5.csv and update position
    elif score == 1:
        output_matrix.append(matrix5.iloc[matrix_position % len(matrix5)].tolist())
        matrix_position += 1

# 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('loopnumber.csv', header=False, index=False)