updated version and README

Author: gpavanb1

README.md

@@ -10,6 +10,8 @@ This enables automatic/numerical differentiation to obtain the Jacobian and deri
 
 # How to install and execute?
 
+Tested on Python 3.6.2 and [pacopy 0.1.0](https://github.com/sigma-py/pacopy/tree/branch-switching)
+
 Just run 
 ```
 pip install fcontin
@@ -19,6 +21,17 @@ The following program illustrates a basic example
 ```python
 from fcontin.ContProblem import ContProblem
 
+###
+# Output record
+###
+lmbda_list = []
+values_list = []
+
+def callback(k, lmbda, sol):
+    # Use the callback for plotting, writing data to files etc.
+    lmbda_list.append(lmbda)
+    values_list.append(sol)
+
 ###
 # Define problem
 ###
@@ -44,7 +57,7 @@ lmbda0 = 1.0
 # Forward, Reverse, Numerical, Complex for jac_mode
 problem = ContProblem(f, u0, lmbda0,
 cont_method='Euler-Newton', 
-jac_mode='Complex',
+jac_mode='Forward',
 max_steps=10,
 newton_tol=1e-10,
 callback=callback

requirements.txt

@@ -1,13 +1,14 @@
 absl-py==0.9.0
 cycler==0.10.0
-jax==0.1.69
-jaxlib==0.1.47
+flatbuffers==2.0.7
+jax==0.2.17
+jaxlib==0.1.69
 kiwisolver==1.2.0
 matplotlib==3.2.1
 numdifftools==0.9.39
 numpy==1.18.5
 opt-einsum==3.2.1
-pacopy==0.1.2
+-e git+https://github.com/sigma-py/pacopy.git@8d23487b356644421a25ce02462470acce5864f6#egg=pacopy
 pyparsing==2.4.7
 python-dateutil==2.8.1
 scipy==1.4.1