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rpoleski · May 2, 2018 · 5d7d8b2 · 5d7d8b2
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diff --git a/README.md b/README.md
@@ -3,7 +3,7 @@
 <dl>MulensModel is package for modeling microlensing (or &mu;-lensing) 
 events. </dl>
 
-It is still under development. [Latest release: 1.1.0](https://github.com/rpoleski/MulensModel/releases/latest)
+It is still under development. [Latest release: 1.2.0](https://github.com/rpoleski/MulensModel/releases/latest)
 
 MulensModel can generate a microlensing light curve for a given set of microlensing parameters, fit that light curve to some data, and return a chi2 value. That chi2 can then be input into an arbitrary likelihood function to find the best fit parameters.
 

diff --git a/docs/source/conf.py b/docs/source/conf.py
@@ -58,9 +58,9 @@
 # built documents.
 #
 # The short X.Y version.
-version = u'1.1'
+version = u'1.2'
 # The full version, including alpha/beta/rc tags.
-release = u'1.1.0'
+release = u'1.2.0'
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.

diff --git a/docs/source/install.rst b/docs/source/install.rst
@@ -6,11 +6,11 @@ How to install?
 3. Unpack the archive.
 4. Add the path to the unpack directory to the ``PYTHONPATH``, e.g., if you've extracted the archive in your home directory (``/home/USER_NAME/``) in tcsh::
 
-    setenv PYTHONPATH /home/USER_NAME/MulensModel-1.1.0/source\:$PYTHONPATH
+    setenv PYTHONPATH /home/USER_NAME/MulensModel-1.2.0/source\:$PYTHONPATH
 
 in bash::
 
-    export PYTHONPATH=/home/USER_NAME/MulensModel-1.1.0/source:$PYTHONPATH
+    export PYTHONPATH=/home/USER_NAME/MulensModel-1.2.0/source:$PYTHONPATH
 
 In order to have this command invoked every time you open a terminal, please add this command to your startup file (``~/.cshrc``, ``~/.bashrc``, ``~/.profile``, or similar). If you didn't have ``PYTHONPATH`` defined before, then skip the last part of the above commands.
 

diff --git a/source/MulensModel/tests/test_Event.py b/source/MulensModel/tests/test_Event.py
@@ -195,14 +195,15 @@ def test_event_chi2_gradient():
     test_1 = (parameters_1, params_1, gradient_1)
 
     parameters_2 = {'t_0': 2456836.22, 'u_0': 0.922, 't_E': 22.87,
-                    'pi_E_N': -0.248, 'pi_E_E': 0.234}
+                    'pi_E_N': -0.248, 'pi_E_E': 0.234} # This model also
+                    # used fluxes given above.
     params_2 = ['t_0', 'u_0', 't_E', 'pi_E_N', 'pi_E_E', 'f_source', 'f_blend']
     gradient_2 = {'t_0': 568.781786, 'u_0': 65235.3513, 't_E': -491.782005,
                   'pi_E_N': -187878.357, 'pi_E_E': 129162.927,
                   'f_source': -83124.5869, 'f_blend': -78653.242}
     test_2 = (parameters_2, params_2, gradient_2)
     # We're not applying the test above, yet. See 'for' loop below.
-    
+
     data = MulensData(file_name=SAMPLE_FILE_02)
     kwargs = {'datasets': [data], 'coords': '17:47:12.25 −21:22:58.7'}
 
@@ -213,3 +214,4 @@ def test_event_chi2_gradient():
 
         reference = np.array([gradient[key] for key in  params])
         np.testing.assert_almost_equal(reference/result, 1., decimal=1)
+
diff --git a/source/MulensModel/version.py b/source/MulensModel/version.py
@@ -1,2 +1,2 @@
 
-__version__ = "1.1.0"
+__version__ = "1.2.0"