def main():
"""Script starts here."""
locations = mu.getlocationofdata()
print(locations.__dict__)
originscsvs = mu.readlistoffiles(locations.originfiles)
filterdcsvs = mu.readlistoffiles(locations.filteredfiles)
for k in originscsvs:
__print_best_match(k, originscsvs[k], filterdcsvs)
def main():
"""Script starts here."""
sampling_size = 20000
locations = mu.getlocationofdata()
print(locations.__dict__)
originscsvs = mu.readlistoffiles(locations.originfiles)
filterdcsvs = mu.readlistoffiles(locations.filteredfiles)
m_origin = mu.create_matrix_from_filelist(originscsvs, sampling_size)
m_filtered = mu.create_matrix_from_filelist(filterdcsvs, sampling_size)
q_origin, r_origin = gs.gram_schmidt(m_origin)
print(q_origin.shape, r_origin.shape)
r_filtered = np.dot(q_origin.T, m_filtered)
print("r_filtered:", r_filtered.shape)
print("r_origin:", r_origin.shape)
for colume in r_origin.T:
answer = __find_best_match(colume, r_filtered)
print("found:", answer)