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aakanksha-gubbala · Apr 14, 2021 · 9ddfd8f · 9ddfd8f
1 parent fcd6c38
commit 9ddfd8f
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Showing 15 changed files with 13 additions and 13 deletions.
diff --git a/__pycache__/correlations.cpython-38.pyc b/__pycache__/correlations.cpython-38.pyc
diff --git a/__pycache__/ddbst.cpython-38.pyc b/__pycache__/ddbst.cpython-38.pyc
diff --git a/__pycache__/isobaric.cpython-38.pyc b/__pycache__/isobaric.cpython-38.pyc
diff --git a/correlations.py b/correlations.py
@@ -37,7 +37,7 @@ def main():
 
     st.info("You have chosen %s and %s" % (compound1, compound2))
 
-    @st.cache(suppress_st_warning=True)
+    # @st.cache(suppress_st_warning=True)
     def link_generator(i1, i2):
         url = 'http://www.ddbst.com/en/EED/VLE/VLE%20' + compounds[i1] + '%3B' + compounds[i2] + '.php'
         if requests.get(url).status_code == 404:

diff --git a/ddbst.py b/ddbst.py
@@ -38,7 +38,7 @@ def main():
 
     st.info("You have chosen %s and %s" % (compound1, compound2))
 
-    @st.cache(suppress_st_warning=True)
+    # @st.cache(suppress_st_warning=True)
     def link_generator(i1, i2):
         url = 'http://www.ddbst.com/en/EED/VLE/VLE%20' + compounds[i1] + '%3B' + compounds[i2] + '.php'
         if requests.get(url).status_code == 404:

diff --git a/isobaric.py b/isobaric.py
@@ -43,7 +43,7 @@ def main():
 
     st.info("You have chosen %s and %s" % (compound1, compound2))
 
-    @st.cache(suppress_st_warning=True)
+    # @st.cache(suppress_st_warning=True)
     def link_generator(i1, i2):
         url = 'http://www.ddbst.com/en/EED/VLE/VLE%20' + compounds[i1] + '%3B' + compounds[i2] + '.php'
         if requests.get(url).status_code == 404:

diff --git a/models/__pycache__/margules.cpython-38.pyc b/models/__pycache__/margules.cpython-38.pyc
diff --git a/models/__pycache__/redlichkister.cpython-38.pyc b/models/__pycache__/redlichkister.cpython-38.pyc
diff --git a/models/__pycache__/vanlaar.cpython-38.pyc b/models/__pycache__/vanlaar.cpython-38.pyc
diff --git a/models/__pycache__/wohls.cpython-38.pyc b/models/__pycache__/wohls.cpython-38.pyc
diff --git a/models/margules.py b/models/margules.py
@@ -17,12 +17,12 @@ def gamma1(self, x, A, T):
     def gamma2(self, x, A, T):
         return np.exp(A * x ** 2 / (constants.R * T))
 
-    @st.cache(suppress_st_warning=True)
+    # @st.cache(suppress_st_warning=True)
     def get_parameter(self, x, G_e):
         A, params_cov = opt.curve_fit(self.Ge, x, G_e, p0=1000, maxfev=10000)
         return A
 
-    @st.cache(suppress_st_warning=True)
+    # @st.cache(suppress_st_warning=True)
     def get_accuracy(self, G_e, x1):
         A = self.get_parameter(x1, G_e)
         Ge = self.Ge(x1, A)

diff --git a/models/nrtl.py b/models/nrtl.py
@@ -17,12 +17,12 @@ def gamma1(self, x, A, B, T):
     def gamma2(self, x, A, B, T):
         return np.exp(B / ((constants.R * T) * (1 + (B * (1 - x)) / (A * x)) ** 2))
 
-    @st.cache(suppress_st_warning=True)
+    # @st.cache(suppress_st_warning=True)
     def get_parameter(self, x, G_e):
         [A, B], params_cov = opt.curve_fit(self.Ge, x, G_e, p0=[1000, 1000], maxfev=10000)
         return [A, B]
 
-    @st.cache(suppress_st_warning=True)
+    # @st.cache(suppress_st_warning=True)
     def get_accuracy(self, G_e, x1):
         [A, B] = self.get_parameter(x1, G_e)
         return metrics.r2_score(G_e, self.Ge(x1, A, B))

diff --git a/models/redlichkister.py b/models/redlichkister.py
@@ -17,12 +17,12 @@ def gamma1(self, x, A, B, T):
     def gamma2(self, x, A, B, T):
         return np.exp((A + B - 4 * B * (1 - x)) * (x) ** 2 / (constants.R * T))
 
-    @st.cache(suppress_st_warning=True)
+    # @st.cache(suppress_st_warning=True)
     def get_parameter(self, x, G_e):
         [A, B], params_cov = opt.curve_fit(self.Ge, x, G_e, p0=[1000, 1000], maxfev=10000)
         return [A, B]
 
-    @st.cache(suppress_st_warning=True)
+    # @st.cache(suppress_st_warning=True)
     def get_accuracy(self, G_e, x1):
         [A, B] = self.get_parameter(x1, G_e)
         Ge = self.Ge(x1, A, B)

diff --git a/models/vanlaar.py b/models/vanlaar.py
@@ -17,12 +17,12 @@ def gamma1(self, x, A, B, T):
     def gamma2(self, x, A, B, T):
         return np.exp(B / ((constants.R * T) * (1 + (B * (1 - x)) / (A * x)) ** 2))
 
-    @st.cache(suppress_st_warning=True)
+    # @st.cache(suppress_st_warning=True)
     def get_parameter(self, x, G_e):
         [A, B], params_cov = opt.curve_fit(self.Ge, x, G_e, p0=[1000,1000], maxfev=10000)
         return [A, B]
 
-    @st.cache(suppress_st_warning=True)
+    # @st.cache(suppress_st_warning=True)
     def get_accuracy(self, G_e, x1):
         [A, B] = self.get_parameter(x1, G_e)
         return metrics.r2_score(G_e, self.Ge(x1, A, B))

diff --git a/models/wohls.py b/models/wohls.py
@@ -28,12 +28,12 @@ def gamma1(self, z, A):
     def gamma2(self, z, A):
         return np.exp(2 * A * self.q2 * z ** 2)
 
-    @st.cache(suppress_st_warning=True)
+    # @st.cache(suppress_st_warning=True)
     def get_parameter(self, x, G_e):
         A, params_cov = opt.curve_fit(self.Ge, x, G_e, p0=1000, maxfev=10000)
         return A
 
-    @st.cache(suppress_st_warning=True)
+    # @st.cache(suppress_st_warning=True)
     def get_accuracy(self, G_e, x1):
         A = self.get_parameter(x1, G_e)
         Ge = self.Ge(x1, A)