Commit09ed35e

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Merge pull request#579 from DimitriPapadopoulos/SIM

Apply ruff/flake8-simplify rules (SIM)

2 parentsccd12f7 +21c58c8 commit09ed35eCopy full SHA for 09ed35e

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Lines changed: 1 addition & 4 deletions

Original file line number	Diff line number	Diff line change
`@@ -46,7 +46,4 @@ def configure_optimizer(optimizer, fprime=None, fhess=None, **kwargs):`
`46`	`46`
`47`	`47`
`48`	`48`	`defuse_derivatives(optimizer):`
`49`		`-ifoptimizerin ('simplex','powell'):`
`50`		`-returnFalse`
`51`		`-else:`
`52`		`-returnTrue`
	`49`	`+returnoptimizernotin ('simplex','powell')`

Lines changed: 2 additions & 6 deletions

Original file line number	Diff line number	Diff line change
`@@ -264,9 +264,7 @@ def has_intercept(self):`
`264`	`264`	`o=np.ones(self.design.shape[0])`
`265`	`265`	`obeta=np.dot(self.calc_beta,o)`
`266`	`266`	`ohat=np.dot(self.wdesign,obeta)`
`267`		`-ifnp.allclose(ohat,o):`
`268`		`-returnTrue`
`269`		`-returnFalse`
	`267`	`+returnnp.allclose(ohat,o)`
`270`	`268`
`271`	`269`	`@cached_property`
`272`	`270`	`defrank(self):`
`@@ -872,6 +870,4 @@ def isestimable(C, D):`
`872`	`870`	`ifC.shape[1]!=D.shape[1]:`
`873`	`871`	`raiseValueError('Contrast should have %d columns'%D.shape[1])`
`874`	`872`	`new=np.vstack([C,D])`
`875`		`-ifmatrix_rank(new)!=matrix_rank(D):`
`876`		`-returnFalse`
`877`		`-returnTrue`
	`873`	`+returnmatrix_rank(new)==matrix_rank(D)`

Lines changed: 1 addition & 1 deletion

Original file line number	Diff line number	Diff line change
`@@ -580,7 +580,7 @@ def nifti2nipy(ni_img):`
`580`	`580`	`ifndim==3:`
`581`	`581`	`returnImage(data,cmap3, {'header':hdr})`
`582`	`582`	`space_units,time_like_units=hdr.get_xyzt_units()`
`583`		`-units_info=TIME_LIKE_UNITS.get(time_like_units,None)`
	`583`	`+units_info=TIME_LIKE_UNITS.get(time_like_units)`
`584`	`584`	`n_ns=ndim-3`
`585`	`585`	`ns_zooms=list(hdr.get_zooms()[3:])`
`586`	`586`	`ns_trans= [0]*n_ns`

Lines changed: 1 addition & 1 deletion

Original file line number	Diff line number	Diff line change
`@@ -42,7 +42,7 @@ def test_unscaled_data(in_tmp_path):`
`42`	`42`	`header=get_header(img_back)`
`43`	`43`	`dao=get_dataobj(img_back)`
`44`	`44`	`slope=header['scl_slope']`
`45`		`-inter= (0.if'scl_inter'notinheaderelseheader['scl_inter'])`
	`45`	`+inter= (header.get('scl_inter',0.0))`
`46`	`46`	`ifnp.isnan(slope):`
`47`	`47`	`slope,inter=dao.slope,dao.inter`
`48`	`48`	`data_back=np.array(dao)`

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