Super obvious bugfixes in a few files.

ig.py (and ig2.py)
- line 158 (148) inverse_args to these_args
- line 228 (213) args to kwarg
- line 231 (216) Thigh to Tlim
- line 242 (227) Thigh to Tlim

igmix.py
- lines 309,310,390,394 - .data['Tlim'] to ._Tlim
-line 330 args to kwarg

src/pyromat/registry/ig.py

@@ -155,7 +155,7 @@ def _argparse(self, *varg, **kwarg):
         if len(these_args) > 1:
             message = 'Properties may not be specified together:'
             prefix = ' '
-            for name in inverse_args:
+            for name in these_args:
                 message += prefix + name
                 prefix = ', '
             raise pm.utility.PMParamError(message)
@@ -225,10 +225,10 @@ def _argparse(self, *varg, **kwarg):
         # Entropy requires special iteration
         if 's' in kwarg:
             # If density is specified
-            if 'd' in args:
+            if 'd' in kwarg:
                 s,d = np.broadcast_arrays(kwarg['s'], kwarg['d'])
                 Tlow = self.data['Tlim'][0]
-                Thigh = self.data['Thigh'][-1]
+                Thigh = self.data['Tlim'][-1]
                 T = np.full_like(s, 0.5*(Tlow+Thigh))
                 I = np.ones_like(s,dtype=bool)
                 self._iter1(self._sditer, 'T', s, T, I, Tlow, Thigh, param={'d':d})
@@ -239,7 +239,7 @@ def _argparse(self, *varg, **kwarg):
                 # adjust entropy to the reference pressure
                 s += pm.units.const_Ru * np.log(p / self._pref_pa)
                 Tlow = self.data['Tlim'][0]
-                Thigh = self.data['Thigh'][-1]
+                Thigh = self.data['Tlim'][-1]
                 T = np.full_like(s, 0.5*(Tlow+Thigh))
                 I = np.ones_like(s,dtype=bool)
                 self._iter1(self._s, 'T', s, T, I, Tlow, Thigh)

src/pyromat/registry/ig2.py

@@ -140,7 +140,7 @@ def _argparse(self, *varg, **kwarg):
         if len(these_args) > 1:
             message = 'Properties may not be specified together:'
             prefix = ' '
-            for name in inverse_args:
+            for name in these_args:
                 message += prefix + name
                 prefix = ', '
             raise pm.utility.PMParamError(message)
@@ -210,10 +210,10 @@ def _argparse(self, *varg, **kwarg):
         # Entropy requires special iteration
         if 's' in kwarg:
             # If density is specified
-            if 'd' in args:
+            if 'd' in kwarg:
                 s,d = np.broadcast_arrays(kwarg['s'], kwarg['d'])
                 Tlow = self.data['Tlim'][0]
-                Thigh = self.data['Thigh'][-1]
+                Thigh = self.data['Tlim'][-1]
                 T = np.full_like(s, 0.5*(Tlow+Thigh))
                 I = np.ones_like(s,dtype=bool)
                 self._iter1(self._sditer, 'T', s, T, I, Tlow, Thigh, param={'d':d})
@@ -224,7 +224,7 @@ def _argparse(self, *varg, **kwarg):
                 # adjust entropy to the reference pressure
                 s += pm.units.const_Ru * np.log(p / self.data['pref'])
                 Tlow = self.data['Tlim'][0]
-                Thigh = self.data['Thigh'][-1]
+                Thigh = self.data['Tlim'][-1]
                 T = np.full_like(s, 0.5*(Tlow+Thigh))
                 I = np.ones_like(s,dtype=bool)
                 self._iter1(self._s, 'T', s, T, I, Tlow, Thigh)

src/pyromat/registry/igmix.py

@@ -306,8 +306,8 @@ def _argparse(self, *varg, **kwarg):
             value = kwarg['e']
             value = pm.units.energy(value, to_units='kJ')
             value = pm.units.matter(value, self._mw, to_units='kmol', exponent=-1)
-            Tlow = self.data['Tlim'][0]
-            Thigh = self.data['Tlim'][-1]
+            Tlow = self._Tlim[0]
+            Thigh = self._Tlim[-1]
             T = np.full(value.shape, 0.5*(self._Tlim[0] + self._Tlim[-1]))
             I = np.ones(value.shape, dtype=bool)
             self._iter1(self._e, 'T', value, T, I, self._Tlim[0], self._Tlim[-1])
@@ -327,7 +327,7 @@ def _argparse(self, *varg, **kwarg):
         # Entropy requires special iteration
         if 's' in kwarg:
             # If density is specified
-            if 'd' in args:
+            if 'd' in kwarg:
                 s,d = np.broadcast_arrays(kwarg['s'], kwarg['d'])
                 T = np.full_like(s, 0.5*(self._Tlim[0] + self._Tlim[-1]))
                 I = np.ones_like(s,dtype=bool)
@@ -387,11 +387,11 @@ def _argparse(self, *varg, **kwarg):
         I = np.logical_or(T < self._Tlim[0], T > self._Tlim[-1])
         if I.all():
             raise pm.utility.PMParamError('All of the specified states were out-of-bounds.  '  
-                    'Legal temperatures for {} are between {} and {} Kelvin.'.format(self.data['id'], self.data['Tlim'][0], self.data['Tlim'][-1]))
+                    'Legal temperatures for {} are between {} and {} Kelvin.'.format(self.data['id'], self._Tlim[0], self._Tlim[-1]))
         elif I.any():
             T[I] = pm.config['def_oob']
             pm.utility.print_warning('Some of the states were out of bounds - setting to config[\'def_oob\'].  '
-                    'Legal temperatures for {} are between {} and {} Kelvin.'.format(self.data['id'], self.data['Tlim'][0], self.data['Tlim'][-1]))
+                    'Legal temperatures for {} are between {} and {} Kelvin.'.format(self.data['id'], self._Tlim[0], self._Tlim[-1]))
         return T,p,d