Merge pull request #323 from bwheelz36/master

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Author: bwheelz36

.github/workflows/run_tests.yml

@@ -32,7 +32,9 @@ jobs:
         python -m pip install --upgrade pip
         pip install pytest
         pip install pytest-cov
+        pip install codecov
         pip install -e .
     - name: Test with pytest
       run: |
         pytest --cov-config .coveragerc --cov-report html --cov=bayes_opt
+        codecov 

.travis.yml

@@ -4,7 +4,7 @@
 
 # Bayesian Optimization
 
-![tests](https://github.com/bwheelz36/BayesianOptimization/actions/workflows/run_tests.yml/badge.svg)
+![tests](https://github.com/fmfn/BayesianOptimization/actions/workflows/run_tests.yml/badge.svg)
 [![Codecov](https://codecov.io/github/fmfn/BayesianOptimization/badge.svg?branch=master&service=github)](https://codecov.io/github/fmfn/BayesianOptimization?branch=master)
 [![Pypi](https://img.shields.io/pypi/v/bayesian-optimization.svg)](https://pypi.python.org/pypi/bayesian-optimization)
 

README.md

@@ -46,7 +46,7 @@ def __init__(self, target_func, pbounds, random_state=None):
         # Create an array with parameters bounds
         self._bounds = np.array(
             [item[1] for item in sorted(pbounds.items(), key=lambda x: x[0])],
-            dtype=np.float
+            dtype=float
         )
 
         # preallocated memory for X and Y points

bayes_opt/target_space.py

@@ -1,6 +1,7 @@
 from bayes_opt.bayesian_optimization import Observable
 from bayes_opt.observer import _Tracker
 from bayes_opt.event import Events
+import os
 
 
 EVENTS = ["a", "b", "c"]
@@ -109,7 +110,8 @@ def max(self):
 
     tracker._time_metrics()
     assert start_time == tracker._start_time
-    assert previous_time < tracker._previous_time
+    if not 'win' in os.sys.platform:
+        assert previous_time < tracker._previous_time
 
 
 if __name__ == '__main__':