def test_VFA_model_kspace_TGV_cart_imageguess_CG(gen_noimageguess): assert pyqmri.run( data=pjoin(data_dir, 'VFA_cart_test_imageguess.h5'), model='VFA', config=pjoin(data_dir, 'default.ini'), trafo=False, ) is None
def test_VFA_model_kspace_TGV_cart(): assert pyqmri.run( data=os.getcwd() + '/test/VFA_cart_smalltest.h5', model='VFA', config=os.getcwd() + '/test/default.ini', trafo=False, ) is None
def test_VFA_model_kspace_TGV_cart(): assert pyqmri.run( data=pjoin(data_dir, 'VFA_cart_smalltest.h5'), model='VFA', config=pjoin(data_dir, 'default.ini'), trafo=False, ) is None
def test_VFA_model_kspace_TGV_cart_imageguess_CG(gen_noimageguess): assert pyqmri.run( data=os.getcwd() + '/test/VFA_cart_test_imageguess.h5', model='VFA', config=os.getcwd() + '/test/default.ini', trafo=False, ) is None
def test_General_model_kspace_TGV_double(): assert pyqmri.run( data=pjoin(data_dir, 'smalltest.h5'), config=pjoin(data_dir, 'default.ini'), modelfile=pjoin(data_dir, 'models.ini'), double_precision=True, ) is None
def test_VFA_model_kspace_TGV_cart_coilguess_radial(gen_data_nocoils_radial): assert pyqmri.run( data=pjoin(data_dir, 'VFA_radial_test_coilguess.h5'), model='VFA', config=pjoin(data_dir, 'default.ini'), trafo=True, useCGguess=False, ) is None
def test_VFA_model_kspace_TGV_cart_coilguess_radial(gen_data_nocoils_radial): assert pyqmri.run( data=os.getcwd() + '/test/VFA_radial_test_coilguess.h5', model='VFA', config=os.getcwd() + '/test/default.ini', trafo=True, useCGguess=False, ) is None
def test_VFA_model_kspace_TV_double(): assert pyqmri.run( data=pjoin(data_dir, 'smalltest.h5'), model='VFA', config=pjoin(data_dir, 'default.ini'), reg_type='TV', double_precision=True, ) is None
def test_VFA_model_kspace_TGV_cart_coilguess_double(gen_data_nocoils): assert pyqmri.run( data=pjoin(data_dir, 'VFA_cart_test_coilguess.h5'), model='VFA', config=pjoin(data_dir, 'default.ini'), trafo=False, useCGguess=False, double_precision=True, ) is None
def test_VFA_model_kspace_TV_cart_multislice_streamed(gen_multislice_data): assert pyqmri.run(data=pjoin(data_dir, 'VFA_cart_test.h5'), model='VFA', config=pjoin(data_dir, 'default.ini'), trafo=False, slices=4, streamed=1, devices=0, reg_type='TV') is None
def test_VFA_model_kspace_TV_cart_multislice_streamed(gen_multislice_data): assert pyqmri.run(data=os.getcwd() + '/test/VFA_cart_test.h5', model='VFA', config=os.getcwd() + '/test/default.ini', trafo=False, slices=4, streamed=1, devices=0, reg_type='TV') is None
def test_VFA_model_imagespace_TGV(): assert pyqmri.run(data=os.getcwd() + '/test/smalltest.h5', model='VFA', imagespace=True, config=os.getcwd() + '/test/default.ini') is None
def test_VFA_model_kspace_TGV_cart_multislice(gen_multislice_data): assert pyqmri.run(data=pjoin(data_dir, 'VFA_cart_test.h5'), model='VFA', config=pjoin(data_dir, 'default.ini'), trafo=False, slices=4) is None
def test_VFA_model_kspace_TGV_cart_multislice(gen_multislice_data): assert pyqmri.run(data=os.getcwd() + '/test/VFA_cart_test.h5', model='VFA', config=os.getcwd() + '/test/default.ini', trafo=False, slices=4) is None
def test_VFA_model_imagespace_TGV(): assert pyqmri.run(data=pjoin(data_dir, 'smalltest.h5'), model='VFA', imagespace=True, config=pjoin(data_dir, 'default.ini')) is None
def test_General_model_kspace_TGV(): assert pyqmri.run(data=pjoin(data_dir, 'smalltest.h5'), config=pjoin(data_dir, 'default.ini'), modelfile=pjoin(data_dir, 'models.ini')) is None
def test_VFA_model_kspace_TV(): assert pyqmri.run(data=pjoin(data_dir, 'smalltest.h5'), model='VFA', config=pjoin(data_dir, 'default.ini'), reg_type='TV') is None
def test_VFA_model_kspace_TV(): assert pyqmri.run(data=os.getcwd() + '/test/smalltest.h5', model='VFA', config=os.getcwd() + '/test/default.ini', reg_type='TV') is None
def test_General_model_kspace_TGV(): assert pyqmri.run(data=os.getcwd() + '/test/smalltest.h5', config=os.getcwd() + '/test/default.ini', modelfile=os.getcwd() + '/test/models.ini') is None