def _build_matches(self, master_matrix: csr_matrix, duplicate_matrix: csr_matrix) -> csr_matrix:
"""Builds the cossine similarity matrix of two csr matrices"""
tf_idf_matrix_1 = master_matrix
tf_idf_matrix_2 = duplicate_matrix.transpose()
optional_kwargs = dict()
if self._config.number_of_processes > 1:
optional_kwargs = {
'use_threads': True,
'n_jobs': self._config.number_of_processes
}
return awesome_cossim_topn(tf_idf_matrix_1, tf_idf_matrix_2,
self._config.max_n_matches,
self._config.min_similarity,
**optional_kwargs)
