Cannot unify array(int64, 2d, F) and array(float64, 2d, C) for 'X.2', np.linalg.inv() even with np.ascontiguousarray() .astype(np.float64) everywhere

[segatrade]

Check off these boxes:

• I have tried using the latest released version of Numba (most recent is
  visible in the change log (https://github.com/numba/numba/blob/master/CHANGE_LOG).
  0.51.2
• I have included below a minimal working reproducer (if you are unsure how
  to write one see http://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports).
• ensure that there is no other issue present that
  already describes the issue you have
  (search at https://github.com/numba/numba/issues?&q=is%3Aissue).

Details of the bug here, including, if applicable, what you expected to happen

Getting this error even with np.ascontiguousarray() .astype(np.float64) everywhere:

Cannot unify array(int64, 2d, F) and array(float64, 2d, C) for 'X.2',

@njit
def numba_get(): 
  X=np.ascontiguousarray(X.astype(np.float64)) 
  xx = np.ascontiguousarray(np.dot(X.T, X).astype(np.float64))
  xx_inv = np.ascontiguousarray(np.linalg.inv(xx).astype(np.float64))
         ^

xx=[[949.74599572 137.822009  ]
 [137.822009    20.        ]]

[stuartarchibald]

Thanks for the report. This doesn't appear to be a minimal working reproducer, please could you format your report in such a way that it can be copy-pasted and then executed, so as to demonstrate the problem you are having, many thanks!

[stuartarchibald]

Closing this issue due to lack of information. If more information becomes available please add it and reopen the issue. Thanks.