Hopefully formatting fixed

pyoptmat/flowrules.py

@@ -1,4 +1,4 @@
-# pylint: disable=abstract-method, useless-super-delegation, line-too-long, duplicate-code, too-many-lines
+# pylint: disable=abstract-method, useless-super-delegation, line-too-long, duplicate-code, too-many-lines, too-many-arguments, too-many-public-methods
 
 """
   Module containing inelastic flow rules.  These provide the rate of the
@@ -514,6 +514,9 @@ def f(self, T, e):
         return (torch.tanh(self.sf * (self.g(T, e) - self.g0())) + 1.0) / 2.0
 
     def g0(self):
+        """
+        The intercept value
+        """
         return (self.C_scale.scale(self.C) - self.B_scale.scale(self.B)) / self.A_scale(
             self.A
         )

pyoptmat/models.py

@@ -453,9 +453,9 @@ def __init__(
         base,
         temps,
         control,
+        *args,
         bisect_first=False,
         throw_on_scalar_fail=False,
-        *args,
         **kwargs
     ):
         super().__init__(*args, **kwargs)
@@ -566,12 +566,12 @@ def __init__(
         srate_fn,
         stress_fn,
         T_fn,
+        *args,
         min_erate=-1e2,
         max_erate=1e3,
         guess_erate=1.0e-3,
         bisect_first=False,
         throw_on_scalar_fail=False,
-        *args,
         **kwargs
     ):
         super().__init__(*args, **kwargs)
@@ -626,8 +626,9 @@ def RJ(erate):
             t, torch.cat([cs.unsqueeze(-1), y[..., 1:]], dim=-1), erate, cT
         )
 
-        # There is an annoying extra term that is the derivative of the history rate with respect to the
-        # solved for strain rate times the derivative of the strain rate with respect to history
+        # There is an annoying extra term that is the derivative of the
+        # history rate with respect to the solved for strain rate times
+        # the derivative of the strain rate with respect to history
         t1 = Je[..., 1:].unsqueeze(-1)
         t2 = utility.mbmm(1.0 / Je[..., :1].unsqueeze(-1), J[..., 0, 1:].unsqueeze(-2))
         t3 = utility.mbmm(t1, t2)

pyoptmat/ode.py

@@ -1,4 +1,4 @@
-# pylint: disable=too-many-arguments
+# pylint: disable=too-many-arguments, too-many-instance-attributes
 
 """
     Module defining the key objects and functions to integrate ODEs

pyoptmat/optimize.py

@@ -1,3 +1,5 @@
+# pylint: disable=too-many-instance-attributes, too-many-arguments, not-context-manager
+
 """
   Objects and helper functions to help with deterministic model calibration
   and statistical inference.

pyoptmat/solvers.py

@@ -30,7 +30,7 @@ def scalar_bisection(fn, a, b, atol=1.0e-6, miter=100):
     c = (a + b) / 2.0
     Rc, _ = fn(c)
 
-    for i in range(miter):
+    for _ in range(miter):
         if torch.all(torch.abs(Rc) < atol):
             break
 
@@ -60,7 +60,7 @@ def scalar_newton(fn, x0, atol=1.0e-6, miter=100, throw_on_fail=False):
     x = x0
     R, J = fn(x)
 
-    for i in range(miter):
+    for _ in range(miter):
         if torch.all(torch.abs(R) < atol):
             break