From 0be4bc084c711912e5d41760f1be3a5d8a3af53f Mon Sep 17 00:00:00 2001
From: bwheelz36 <64300337+bwheelz36@users.noreply.github.com>
Date: Thu, 2 Jan 2025 09:39:50 +1100
Subject: [PATCH 1/2] patching version to check if pypi linkages works again

---
 pyproject.toml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pyproject.toml b/pyproject.toml
index 148b1c0..72f8d67 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "topasopt"
-version = "1.0.0"
+version = "1.0.1"
 description = ""
 authors = ["brendan whelan"]
 license = "MIT"

From b80a467e1bb75b87c8b1657f27f2a64947b05080 Mon Sep 17 00:00:00 2001
From: brendan <brendan.whelan@sydney.edu.au>
Date: Thu, 2 Jan 2025 10:44:29 +1100
Subject: [PATCH 2/2] bumped number of iterations on tests

---
 TopasOpt/Optimisers.py   | 25 ++++++++++++++-----------
 tests/test_optimisers.py |  2 +-
 2 files changed, 15 insertions(+), 12 deletions(-)

diff --git a/TopasOpt/Optimisers.py b/TopasOpt/Optimisers.py
index 21623f4..713403b 100755
--- a/TopasOpt/Optimisers.py
+++ b/TopasOpt/Optimisers.py
@@ -3,27 +3,30 @@
 This module contains the specific optimisation algorithms for TopasOpt. Most functionality is defined in TopasOptBaseClass,
 which other optimisers inherit from.
 """
-import subprocess
-import jsonpickle
-from matplotlib import pyplot as plt
+import logging
+import os
 # matplotlib.use('Agg')  # if having trouble with generating figures through ssh, this resolves...
 import shutil
-from scipy.optimize import minimize
-from scipy import stats
+import stat
+import subprocess
+import sys
+from abc import abstractmethod
 from pathlib import Path
+
+import jsonpickle
 import numpy as np
-import sys, os
 from bayes_opt import BayesianOptimization
 from bayes_opt import acquisition
+from bayes_opt.event import Events
 from bayes_opt.logger import JSONLogger
 from bayes_opt.util import load_logs, NotUniqueError
-from bayes_opt.event import Events
+from matplotlib import pyplot as plt
+from scipy import stats
+from scipy.optimize import minimize
+from scipy.optimize import rosen
 from sklearn.gaussian_process.kernels import Matern
-import logging
+
 from .utilities import bcolors, FigureSpecs, newJSONLogger, ReadInLogFile, PlotLogFile
-import stat
-from scipy.optimize import rosen
-from abc import abstractmethod
 
 ch = logging.StreamHandler()
 formatter = logging.Formatter('[%(filename)s: line %(lineno)d %(levelname)8s] %(message)s')
diff --git a/tests/test_optimisers.py b/tests/test_optimisers.py
index 8b401d5..5a4f768 100644
--- a/tests/test_optimisers.py
+++ b/tests/test_optimisers.py
@@ -73,7 +73,7 @@ def test_Nelder_Mead_UserDefinedSimplex():
 
 def test_Bayesian():
     ## Test Bayesian
-    optimisation_params['Nitterations'] = 50
+    optimisation_params['Nitterations'] = 100
     optimisation_params['Suggestions'] = np.array([0.7, 0.7])
 
     Optimiser = to.BayesianOptimiser(optimisation_params=optimisation_params, BaseDirectory=BaseDirectory,