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  • src/sas/sascalc/invariant/invariant.py

    rdbfd307 r574adc7  
    344344        else: 
    345345            A = np.vstack([linearized_data.x / linearized_data.dy, 1.0 / linearized_data.dy]).T 
    346             # CRUFT: numpy>=1.14.0 allows rcond=None for the following default 
    347             rcond = np.finfo(float).eps * max(A.shape) 
    348             p, residuals, _, _ = np.linalg.lstsq(A, linearized_data.y / linearized_data.dy, 
    349                                                  rcond=rcond) 
     346            (p, residuals, _, _) = np.linalg.lstsq(A, linearized_data.y / linearized_data.dy) 
    350347 
    351348            # Get the covariance matrix, defined as inv_cov = a_transposed * a 
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