0.52.9 release; minor improvements

Author: yoelcortes

setup.py

@@ -11,22 +11,22 @@
     name='thermosteam',
     packages=['thermosteam'],
     license='MIT',
-    version='0.52.8',
+    version='0.52.9',
     description="BioSTEAM's Premier Thermodynamic Engine",
     long_description=open('README.rst', encoding='utf-8').read(),
     author='Yoel Cortes-Pena',
     install_requires=['numpy==1.26.4',
                       'pint==0.24.4',
                       'scipy>=1.15.2',
-                      'thermo>=0.4.2',
+                      'thermo>=0.6.0',
                       'IPython>=7.9.0',
                       'colorpalette>=0.3.3',
                       'pandas>=2.2.2',
                       'matplotlib>=3.10.1',
                       'xlrd>=1.2.0',
                       'openpyxl>=3.0.0',
                       'flexsolve>=0.5.9',
-                      'numba==0.60.0',
+                      'numba==0.62.1',
                       'coolprop',
                       'imageio',
                       'pydot',

thermosteam/__init__.py

@@ -31,7 +31,7 @@
 #     update_module(chemicals, numba)
 # use_numba_chemicals()
 # del use_numba_chemicals
-__version__ = "0.52.8"
+__version__ = "0.52.9"
 
 from . import thermo
 del thermo

thermosteam/_stream.py

@@ -2898,7 +2898,17 @@ def _info_df(self, units, notation, composition, N_max, all_IDs, indexer, factor
         return pd.DataFrame(data, columns=[self.ID.replace('_', ' ')],
                             index=pd.MultiIndex.from_tuples(index))
 
-    def _info(self, layout, T, P, flow, composition, N, IDs, sort=None, df=False):
+    def _info(self,
+            layout: Optional[str] = None,
+            T: Optional[str] = None,
+            P: Optional[str] = None,
+            flow: Optional[str] = None,
+            composition: Optional[bool] = None,
+            N: Optional[int] = None,
+            IDs: Optional[Sequence[str]] = None,
+            sort: Optional[bool] = None,
+            df: Optional[bool] = None  
+        ):
         """Return string with all specifications."""
         units, notation = self.get_display_units_and_notation(
             T=T, P=P, flow=flow)

thermosteam/base/functor.py

@@ -236,7 +236,7 @@ def from_obj(cls, data):
         return self
 
     def __str__(self):
-        return display_asfunctor(self)
+        return display_asfunctor(self).replace(', **kwargs', '')
 
     def __repr__(self):
         return f"<{self}>"

thermosteam/equilibrium/partition_coefficients.py

@@ -62,6 +62,6 @@ def __call__(self, y, x, T, P):
         )
 
     def __repr__(self):
-        chemicals = ", ".join([i.ID for i in self.fugacities[self.phases[0]].chemicals])
+        chemicals = ", ".join([i.ID for i in self.fugacities_by_phase[self.phases[0]].chemicals])
         return f"{type(self).__name__}({self.phases!r}, [{chemicals}])"
 

thermosteam/mixture/__init__.py

@@ -665,7 +665,7 @@ def eos_args(self, phase, mol, T, P):
     def Hvap(self, mol, T, P):
         phase = 'l'
         eos, _, _, eos_mol = self.eos_args(phase, mol, T, P)
-        return (eos.Hvap(T) * eos_mol).sum()
+        return eos.Hvap(T) * eos_mol
 
     def dh_dep_dzs(self, phase, mol, T, P):
         if phase == 's': return 0 * mol
@@ -752,8 +752,8 @@ def from_chemicals(cls, chemicals, eos_chemical_index=None, cache=True):
         
         >>> from thermosteam import PRMixture
         >>> mixture = PRMixture.from_chemicals(['Water', 'Ethanol'])
-        >>> mixture.Hvap([0.2, 0.8], 350)
-        39750.62
+        >>> mixture.Hvap([0.2, 0.8], 350, 101325)
+        39763.83
 
         Calculate density for a water and ethanol mixture in g/L:
 

thermosteam/mixture/ideal_mixture_model.py

@@ -222,7 +222,7 @@ class SinglePhaseIdealTPMixtureModel:
     
     Examples
     --------
-    >>> from thermosteam.mixture import SinglePhaseIdealTPMixtureModel
+    >>> from thermosteam.mixture.ideal_mixture_model import SinglePhaseIdealTPMixtureModel
     >>> from thermosteam import Chemicals
     >>> chemicals = Chemicals(['Water', 'Ethanol'])
     >>> models = [i.V.l for i in chemicals]