nilearn
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diff --git a/‎dev/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip‎
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@@ -40,7 +40,7 @@
       },
       "outputs": [],
       "source": [
-        "from nilearn.glm.first_level import FirstLevelModel\n\nfmri_glm = FirstLevelModel(\n    t_r=7,\n    drift_model=\"cosine\",\n    signal_scaling=False,\n    mask_img=mask,\n    minimize_memory=False,\n)\n\nfmri_glm = fmri_glm.fit(fmri_img, events)"
+        "from nilearn.glm.first_level import FirstLevelModel\n\nfmri_glm = FirstLevelModel(\n    t_r=subject_data.t_r,\n    drift_model=\"cosine\",\n    signal_scaling=False,\n    mask_img=mask,\n    minimize_memory=False,\n)\n\nfmri_glm = fmri_glm.fit(fmri_img, events)"
       ]
     },
     {
Original file line number	Diff line number	Diff line change
`@@ -40,7 +40,7 @@`
`40`	`40`	`},`
`41`	`41`	`"outputs": [],`
`42`	`42`	`"source": [`
`43`		`- "from nilearn.glm.first_level import FirstLevelModel\n\nfmri_glm = FirstLevelModel(\n t_r=7,\n drift_model=\"cosine\",\n signal_scaling=False,\n mask_img=mask,\n minimize_memory=False,\n)\n\nfmri_glm = fmri_glm.fit(fmri_img, events)"`
	`43`	`+ "from nilearn.glm.first_level import FirstLevelModel\n\nfmri_glm = FirstLevelModel(\n t_r=subject_data.t_r,\n drift_model=\"cosine\",\n signal_scaling=False,\n mask_img=mask,\n minimize_memory=False,\n)\n\nfmri_glm = fmri_glm.fit(fmri_img, events)"`
`44`	`44`	`]`
`45`	`45`	`},`
`46`	`46`	`{`