Bump version to 0.8.0rc0 (#90)

sustainable-processes · Feb 19, 2021 · 70ba9a2 · 70ba9a2
1 parent be54b50
commit 70ba9a2
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Showing 6 changed files with 7 additions and 8 deletions.
diff --git a/pyproject.toml b/pyproject.toml
@@ -1,13 +1,13 @@
 [tool.poetry]
 name = "summit"
-version = "0.6.0"
+version = "0.8.0rc0"
 description = "Tools for optimizing chemical processes"
 authors = ["Kobi Felton <kobi.c.f@gmail.com>", "Jan Rittig"]
 license = "MIT"
 readme = 'README.md'
 repository = "https://github.com/sustainable-processes/summit"
 homepage = "https://github.com/sustainable-processes/summit"
-keywords = ["machine-learning", "chemistry", "reactions", "optimization", "neural-networks", "process optimization", "bayesian-optimization", "nelder-mead", "snobfit", "gryffin", "TSEMO"]
+keywords = ["machine-learning", "chemistry", "bayesian-reaction-optimization", "reaction-optimization", "neural-networks", "process optimization", "bayesian-optimization", "nelder-mead", "snobfit", "gryffin", "TSEMO"]
 
 [tool.poetry.dependencies]
 # Core dependencies
@@ -32,7 +32,6 @@ pymoo = "^0.4.1"
 SQSnobFit = "^0.4.3"
 
 # Dependencies for MTBO
-
 botorch = "*"
 # Temporary fix https://github.com/pytorch/botorch/issues/668
 gpytorch = "1.3.0"

diff --git a/summit/benchmarks/MIT/MIT_kin_case1.py b/summit/benchmarks/MIT/MIT_kin_case1.py
@@ -167,4 +167,4 @@ def _integrand(self, t, C, cat_index, T):
 
     def to_dict(self, **kwargs):
         experiment_params = dict(noise_level=self.noise_level)
-        return super().to_dict(**experiment_params)
+        return super().to_dict(**experiment_params)
diff --git a/summit/benchmarks/MIT/MIT_kin_case2.py b/summit/benchmarks/MIT/MIT_kin_case2.py
@@ -166,4 +166,4 @@ def _integrand(self, t, C, cat_index, T):
 
     def to_dict(self, **kwargs):
         experiment_params = dict(noise_level=self.noise_level)
-        return super().to_dict(**experiment_params)
+        return super().to_dict(**experiment_params)
diff --git a/summit/benchmarks/MIT/MIT_kin_case3.py b/summit/benchmarks/MIT/MIT_kin_case3.py
@@ -166,4 +166,4 @@ def _integrand(self, t, C, cat_index, T):
 
     def to_dict(self, **kwargs):
         experiment_params = dict(noise_level=self.noise_level)
-        return super().to_dict(**experiment_params)
+        return super().to_dict(**experiment_params)
diff --git a/summit/benchmarks/MIT/MIT_kin_case4.py b/summit/benchmarks/MIT/MIT_kin_case4.py
@@ -167,4 +167,4 @@ def _integrand(self, t, C, cat_index, T):
 
     def to_dict(self, **kwargs):
         experiment_params = dict(noise_level=self.noise_level)
-        return super().to_dict(**experiment_params)
+        return super().to_dict(**experiment_params)
diff --git a/summit/benchmarks/MIT/MIT_kin_case5.py b/summit/benchmarks/MIT/MIT_kin_case5.py
@@ -171,4 +171,4 @@ def _integrand(self, t, C, cat_index, T):
 
     def to_dict(self, **kwargs):
         experiment_params = dict(noise_level=self.noise_level)
-        return super().to_dict(**experiment_params)
+        return super().to_dict(**experiment_params)