From ea2d39a22516e5d05fd666205a1c321a3ea0d503 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Thu, 19 Nov 2020 17:24:55 +0000
Subject: [PATCH] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 src/pyhf/pdf.py | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/src/pyhf/pdf.py b/src/pyhf/pdf.py
index 382c81a127..43a590b306 100644
--- a/src/pyhf/pdf.py
+++ b/src/pyhf/pdf.py
@@ -396,7 +396,9 @@ def logpdf(self, auxdata, pars):
 class _MainModel:
     """Factory class to create pdfs for the main measurement."""
 
-    def __init__(self, config, mega_mods, nominal_rates, custom_modifiers = None,batch_size = None):
+    def __init__(
+        self, config, mega_mods, nominal_rates, custom_modifiers=None, batch_size=None
+    ):
         self.custom_modifiers = custom_modifiers or []
         self.config = config
         self._factor_mods = [
@@ -514,9 +516,7 @@ def expected_data(self, pars, return_by_sample=False):
         pars = tensorlib.astensor(pars)
         customs, deltas, factors = self._modifications(pars)
 
-        allsum = tensorlib.concatenate(
-            customs + deltas + [self.nominal_rates]
-        )
+        allsum = tensorlib.concatenate(customs + deltas + [self.nominal_rates])
 
         nom_plus_delta = tensorlib.sum(allsum, axis=0)
         nom_plus_delta = tensorlib.reshape(
@@ -541,7 +541,7 @@ def expected_data(self, pars, return_by_sample=False):
 class Model:
     """The main pyhf model class."""
 
-    def __init__(self, spec, custom_modifiers = None, batch_size=None, **config_kwargs):
+    def __init__(self, spec, custom_modifiers=None, batch_size=None, **config_kwargs):
         """
         Construct a HistFactory Model.