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	[Feat] Introduce checks of the provided inverse matrix for correlated fits (#259)
Co-authored-by: Simon Kuberski <simon.kuberski@cern.ch>
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			@ -223,6 +223,9 @@ def test_inv_cov_matrix_input_least_squares():
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            diff_inv_cov_combined_fit.gamma_method()
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            assert(diff_inv_cov_combined_fit.is_zero(atol=1e-12))
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        with pytest.raises(ValueError):
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            pe.least_squares(x_dict, data_dict, fitf_dict,  correlated_fit = True, inv_chol_cov_matrix = [corr,chol_inv_keys_combined_fit])
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def test_least_squares_invalid_inv_cov_matrix_input():
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    xvals = []
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    yvals = []
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