code: def read_A_matrix(path, num_hidden_state_factors):
      raw_table = pd.read_excel(path, header=None)
      level_counts = {
          "index": raw_table.iloc[0, :].dropna().index[0] + 1,
          "header": raw_table.iloc[0, :].dropna().index[0]
          + num_hidden_state_factors
          - 1,
      }
      return pd.read_excel(
          path,
          index_col=list(range(level_counts["index"])),
          header=list(range(level_counts["header"])),
      ).astype(np.float64)
  
imports: import numpy
  import pandas
  import seaborn
  import matplotlib.pyplot
  import warnings
  import itertools
label_desc: Use image node_id 31 for calling a global function with example usage: read_A_matrix(path, num_hidden_state_factors) and returns: pd