         6854995 function calls (6788165 primitive calls) in 1.796 seconds

   Ordered by: cumulative time
   List reduced from 1418 to 30 due to restriction <30>

   ncalls  tottime  percall  cumtime  percall filename:lineno(function)
       28    0.000    0.000    1.607    0.057 quotient_profile.py:17(measure)
    24/16    0.000    0.000    1.483    0.093 functools.py:1110(__get__)
8867/8106    0.004    0.000    1.185    0.000 decorators.py:111(binary_op_wrapper)
      178    0.000    0.000    1.088    0.006 quotient.py:471(_iter_basis_actions)
      122    0.001    0.000    1.038    0.009 quotient.py:463(_monomial_matrix)
      190    0.000    0.000    0.836    0.004 matrixbase.py:2887(__pow__)
      190    0.001    0.000    0.836    0.004 matrixbase.py:2894(pow)
  362/136    0.030    0.000    0.831    0.006 matrixbase.py:2715(_eval_pow_by_recursion_dotprodsimp)
        4    0.000    0.000    0.663    0.166 quotient_profile.py:37(<lambda>)
        4    0.002    0.001    0.663    0.166 quotient.py:504(trace_pairing)
   148244    0.033    0.000    0.606    0.000 repmatrix.py:335(__getitem__)
   148244    0.209    0.000    0.573    0.000 repmatrix.py:948(_getitem_RepMatrix)
        4    0.000    0.000    0.539    0.135 quotient_profile.py:36(<lambda>)
        4    0.000    0.000    0.539    0.135 quotient.py:499(trace_vector)
        4    0.000    0.000    0.401    0.100 __init__.py:1(<module>)
      403    0.002    0.000    0.284    0.001 repmatrix.py:569(_new)
     1465    0.002    0.000    0.277    0.000 matrixbase.py:2821(multiply)
     1239    0.001    0.000    0.265    0.000 matrixbase.py:2790(__mul__)
      394    0.001    0.000    0.249    0.001 repmatrix.py:566(__new__)
      233    0.001    0.000    0.241    0.001 sparse.py:464(_new)
        4    0.000    0.000    0.238    0.059 quotient_profile.py:35(<lambda>)
        4    0.001    0.000    0.238    0.059 quotient.py:400(variable_multiplication_matrices)
     1465    0.001    0.000    0.233    0.000 matrixbase.py:5370(_unify_with_other)
      236    0.001    0.000    0.230    0.001 matrixbase.py:5282(_convert_matrix)
      233    0.053    0.000    0.221    0.001 sparse.py:107(_handle_creation_inputs)
      146    0.001    0.000    0.205    0.001 quotient.py:382(coordinate_vector)
201988/191645    0.049    0.000    0.204    0.000 cache.py:69(wrapper)
      403    0.007    0.000    0.191    0.000 matrixbase.py:3796(_handle_creation_inputs)
        4    0.000    0.000    0.182    0.046 matrixbase.py:2087(applyfunc)
        4    0.000    0.000    0.182    0.046 matrixbase.py:2035(_eval_applyfunc)
