From 59bf115aa1b6203c51cc1a813d555e0a7c9d99e3 Mon Sep 17 00:00:00 2001
From: Christian Clauss <cclauss@me.com>
Date: Fri, 21 Feb 2020 11:02:35 +0100
Subject: [PATCH] uses: actions/checkout@v2 (#1779)

* uses: actions/checkout@v2

* fixup! Format Python code with psf/black push
---
 .github/workflows/autoblack.yml         | 2 +-
 linear_algebra/src/rayleigh_quotient.py | 4 ++--
 maths/modular_exponential.py            | 4 +++-
 maths/monte_carlo_dice.py               | 3 ++-
 4 files changed, 8 insertions(+), 5 deletions(-)

diff --git a/.github/workflows/autoblack.yml b/.github/workflows/autoblack.yml
index cf578a14d..95d2d3d64 100644
--- a/.github/workflows/autoblack.yml
+++ b/.github/workflows/autoblack.yml
@@ -9,7 +9,7 @@ jobs:
   build:
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v1
+      - uses: actions/checkout@v2
       - uses: actions/setup-python@v1
       - run: pip install black
       - run: black --check .
diff --git a/linear_algebra/src/rayleigh_quotient.py b/linear_algebra/src/rayleigh_quotient.py
index 46551749f..d0d5d6396 100644
--- a/linear_algebra/src/rayleigh_quotient.py
+++ b/linear_algebra/src/rayleigh_quotient.py
@@ -4,7 +4,7 @@ https://en.wikipedia.org/wiki/Rayleigh_quotient
 import numpy as np
 
 
-def is_hermitian(matrix:np.matrix) -> bool:
+def is_hermitian(matrix: np.matrix) -> bool:
     """
     Checks if a matrix is Hermitian.
 
@@ -25,7 +25,7 @@ def is_hermitian(matrix:np.matrix) -> bool:
     return np.array_equal(matrix, matrix.H)
 
 
-def rayleigh_quotient(A:np.matrix, v:np.matrix) -> float:
+def rayleigh_quotient(A: np.matrix, v: np.matrix) -> float:
     """
     Returns the Rayleigh quotient of a Hermitian matrix A and
     vector v.
diff --git a/maths/modular_exponential.py b/maths/modular_exponential.py
index 91fa0e462..8b7b17575 100644
--- a/maths/modular_exponential.py
+++ b/maths/modular_exponential.py
@@ -5,7 +5,9 @@
 """
 
 """Calculate Modular Exponential."""
-def modular_exponential(base : int, power : int, mod : int):
+
+
+def modular_exponential(base: int, power: int, mod: int):
     """
     >>> modular_exponential(5, 0, 10)
     1
diff --git a/maths/monte_carlo_dice.py b/maths/monte_carlo_dice.py
index c045cc829..c36c3e83e 100644
--- a/maths/monte_carlo_dice.py
+++ b/maths/monte_carlo_dice.py
@@ -1,6 +1,7 @@
 import random
 from typing import List
 
+
 class Dice:
     NUM_SIDES = 6
 
@@ -15,7 +16,7 @@ class Dice:
         return "Fair Dice"
 
 
-def throw_dice(num_throws: int, num_dice: int=2) -> List[float]:
+def throw_dice(num_throws: int, num_dice: int = 2) -> List[float]:
     """
     Return probability list of all possible sums when throwing dice.