fix: remove old legacy arguments

zfit · Oct 31, 2024 · 2f57092 · 2f57092
1 parent ea30221
commit 2f57092
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Showing 2 changed files with 8 additions and 10 deletions.
diff --git a/_website/tutorials/components/62 - Multidim Custom PDF.ipynb b/_website/tutorials/components/62 - Multidim Custom PDF.ipynb
@@ -48,8 +48,8 @@
     "    _N_OBS = 3  # dimension, can be omitted\n",
     "    _PARAMS = ['xshift', 'yshift']  # the name of the parameters\n",
     "\n",
-    "    @zfit.supports()\n",
-    "    def _unnormalized_pdf(self, x, params):\n",
+    "    @zfit.supports(norm=False)\n",
+    "    def _pdf(self, x,norm, params):\n",
     "        x0 = x[0]\n",
     "        x1 = x[1]\n",
     "        x2 = x[2]\n",
@@ -81,7 +81,7 @@
     "obs = xobs * yobs * zobs\n",
     "\n",
     "data_np = np.random.random(size=(1000, 3))\n",
-    "data = zfit.data.Data.from_numpy(array=data_np, obs=obs)  # obs is automatically used as limits here."
+    "data = zfit.Data(data=data_np, obs=obs)  # obs is automatically used as limits here."
    ]
   },
   {
@@ -176,8 +176,7 @@
    "source": [
     "AbsVectorShifted.register_analytic_integral(func=abs_vector_integral_from_any_to_any, limits=limits,\n",
     "                                           priority=51,\n",
-    "                                            supports_norm_range=False,  # False by default, but could be set to\n",
-    "                                            supports_multiple_limits=False)  # True. False -> autohandled"
+    "                                            supports_norm=False)"
    ]
   },
   {

diff --git a/components/62 - Multidim Custom PDF.ipynb b/components/62 - Multidim Custom PDF.ipynb
@@ -48,8 +48,8 @@
     "    _N_OBS = 3  # dimension, can be omitted\n",
     "    _PARAMS = ['xshift', 'yshift']  # the name of the parameters\n",
     "\n",
-    "    @zfit.supports()\n",
-    "    def _unnormalized_pdf(self, x, params):\n",
+    "    @zfit.supports(norm=False)\n",
+    "    def _pdf(self, x,norm, params):\n",
     "        x0 = x[0]\n",
     "        x1 = x[1]\n",
     "        x2 = x[2]\n",
@@ -81,7 +81,7 @@
     "obs = xobs * yobs * zobs\n",
     "\n",
     "data_np = np.random.random(size=(1000, 3))\n",
-    "data = zfit.data.Data.from_numpy(array=data_np, obs=obs)  # obs is automatically used as limits here."
+    "data = zfit.Data(data=data_np, obs=obs)  # obs is automatically used as limits here."
    ]
   },
   {
@@ -176,8 +176,7 @@
    "source": [
     "AbsVectorShifted.register_analytic_integral(func=abs_vector_integral_from_any_to_any, limits=limits,\n",
     "                                           priority=51,\n",
-    "                                            supports_norm_range=False,  # False by default, but could be set to\n",
-    "                                            supports_multiple_limits=False)  # True. False -> autohandled"
+    "                                            supports_norm=False)"
    ]
   },
   {