diff --git a/README.md b/README.md
index fdc5a3747fbfdebc996150b6cf29b3808cf7f925..34a612b07c1cd38aeb5becf0e7da3dbf88426b15 100644
--- a/README.md
+++ b/README.md
@@ -1,20 +1,8 @@
 # Unitgrade-devel
 **Note: This is the development version of unitgrade. If you are a student, please see http://gitlab.compute.dtu.dk/tuhe/unitgrade.**
 
-Unitgrade is an automatic report and exam evaluation framework that enables instructors to offer automatically evaluated programming assignments. It is currently used in 02465: https://gitlab.gbar.dtu.dk/02465material/02465students
-
-## Why not (alternative online automatic evaluation framework)?
-I think the most important thing to ask from an automatic evaluation framework is that it helps the students become better programmers. 
-Automatic evaluation frameworks are fundamentally about testing code. We know testing works, but we also know that not all ways of doing tests are equally good. Online testing has several clear disadvantages:
-
- - You need to upload code and often press to see output
- - No debugger
- - Often encourage/requires coding in the browser, i.e. without IDE support
- - They are often constraining, meaning problems must be phrased in a less than optimal way to suit the evaluation framework
-
-For these reasons, we would never accept an online evaluation tool as a testing tool -- so why should we ask that of students?
-
-Unitgrade is different because it is build on pythons `unittest` framework. This means tests are specified simply as unittests and will integrate with any modern IDE. What it offers beyond `unittest` is the ability to collect tests in reports (for automatic evaluation) and an easy and 100% safe mechanism for verifying the students results and creating additional, hidden tests. A cache system allows instructors to automatically create test-answers based on a working solution. 
+Unitgrade is an automatic report and exam evaluation framework that enables instructors to offer automatically evaluated programming assignments. 
+ Unitgrade is build on pythons `unittest` framework so that the tests can be specified in a familiar syntax and will integrate with any modern IDE. What it offers beyond `unittest` is the ability to collect tests in reports (for automatic evaluation) and an easy and 100% safe mechanism for verifying the students results and creating additional, hidden tests. A powerful cache system allows instructors to automatically create test-answers based on a working solution. 
 
  - 100% Python `unittest` compatible
  - No configuration files
@@ -35,6 +23,14 @@ pip install unitgrade-devel
 ```
 This will install `unitgrade-devel` (this package) and all dependencies to get you started.
 
+## Overview
+![alt text|small](https://gitlab.compute.dtu.dk/tuhe/unitgrade_private/-/raw/master/docs/images/process.png)
+
+The figure shows an overview of the workflow. 
+ - You write exercises and a suite of unittests. 
+ - They are then compiled to a version of the exercises without solutions. 
+ - The students solve the exercises using the tests and when they are happy, they run an automatically generated `_grade.py`-script to produce a `.token`-file with the number of points they obtain. This file is then uploaded for further verification/evaluation.
+
 ### Videos
 Videos where I try to talk and code my way through the examples can be found on youtube:
 
@@ -46,7 +42,7 @@ Videos where I try to talk and code my way through the examples can be found on
   - Autolab: https://youtu.be/h5mqR8iNMwM
 
 # Instructions and examples of use
-The examples can be found in the `/examples` directory: https://gitlab.compute.dtu.dk/tuhe/unitgrade_private/-/tree/master/examples . 
+The examples can be found in the `/examples` directory: https://gitlab.compute.dtu.dk/tuhe/unitgrade_private/-/tree/master/examples
 
 ## A simple example
 Unitgrade makes the following assumptions:
@@ -240,7 +236,7 @@ When this is run, the titles are shown as follows:
 | | | |_ __  _| |_| |  \/_ __ __ _  __| | ___ 
 | | | | '_ \| | __| | __| '__/ _` |/ _` |/ _ \
 | |_| | | | | | |_| |_\ \ | | (_| | (_| |  __/
- \___/|_| |_|_|\__|\____/_|  \__,_|\__,_|\___| v0.1.17, started: 21/09/2021 11:57:05
+ \___/|_| |_|_|\__|\____/_|  \__,_|\__,_|\___| v0.1.17, started: 19/05/2022 15:14:09
 
 CS 102 Report 2 
 Question 1: Week1                                                                                                       
@@ -254,7 +250,7 @@ Question 2: The same problem as before with nicer titles
  * q2.2) Checking if reverse_list([1, 2, 3]) = [3, 2, 1]............................................................PASS
  * q2)   Total...................................................................................................... 6/6
  
-Total points at 11:57:05 (0 minutes, 0 seconds)....................................................................16/16
+Total points at 15:14:09 (0 minutes, 0 seconds)....................................................................16/16
 
 Including files in upload...
  * cs102
@@ -270,7 +266,7 @@ What happens behind the scenes when we set `self.title` is that the result is pr
 ### Caching computations
 The `@cache`-decorator offers a direct ways to compute the correct result on an instructors computer and submit it to the student. For instance:
 ```python
-# example_framework/instructor/cs102/report2_test.py
+# example_framework/instructor/cs102/report2.py
 class Question2(UTestCase): 
     @cache
     def my_reversal(self, ls):
@@ -507,7 +503,7 @@ The code for the example can be found in `examples/autolab_example`. It consists
 
 Concretely, the following code will download and build the image (note this code must be run on the same machine that you have installed Autolab on)
 ```python
-# autolab_example/deploy_autolab.py
+# autolab_token_upload/deploy_autolab.py
     # Step 1: Download and compile docker grading image. You only need to do this once.  
     download_docker_images("./docker") # Download docker images from gitlab (only do this once.
     dockerfile = f"./docker/docker_tango_python/Dockerfile"
@@ -517,7 +513,7 @@ Concretely, the following code will download and build the image (note this code
 Next, simply call the framework to compile any `_grade.py`-file into an Autolab-compatible `.tar` file that can be imported from the web interface. The script requires you to specify 
 both the instructor-directory and the directory with the files the student have been handed out (i.e., the same file-system format we have seen earlier). 
 ```python
-# autolab_example/deploy_autolab.py
+# autolab_token_upload/deploy_autolab.py
     # Step 2: Create the cs102.tar file from the grade scripts. 
     instructor_base = f"../example_framework/instructor"
     student_base = f"../example_framework/students"
@@ -552,12 +548,12 @@ and TAs can choose to annotate the students code directly in Autolab -- we are h
 # Citing
 ```bibtex
 @online{unitgrade_devel,
-	title={Unitgrade-devel (0.1.35): \texttt{pip install unitgrade-devel}},
+	title={Unitgrade-devel (0.1.39): \texttt{pip install unitgrade-devel}},
 	url={https://lab.compute.dtu.dk/tuhe/unitgrade_private},
-	urldate = {2022-05-19}, 
+	urldate = {2022-06-15}, 
 	month={9},
 	publisher={Technical University of Denmark (DTU)},
 	author={Tue Herlau},
 	year={2022},
 }
-```
+```
\ No newline at end of file
diff --git a/docs/README.jinja.md b/docs/README.jinja.md
index abebb5a2426bd331ec946bbed02701458d1c517f..6fdc56d16e2851a21dbcc77dab85d734d04d8da2 100644
--- a/docs/README.jinja.md
+++ b/docs/README.jinja.md
@@ -23,6 +23,14 @@ pip install unitgrade-devel
 ```
 This will install `unitgrade-devel` (this package) and all dependencies to get you started.
 
+## Overview
+![alt text|small]({{resources}}/docs/images/process.png)
+
+The figure shows an overview of the workflow. 
+ - You write exercises and a suite of unittests. 
+ - They are then compiled to a version of the exercises without solutions. 
+ - The students solve the exercises using the tests and when they are happy, they run an automatically generated `_grade.py`-script to produce a `.token`-file with the number of points they obtain. This file is then uploaded for further verification/evaluation.
+
 ### Videos
 Videos where I try to talk and code my way through the examples can be found on youtube:
 
diff --git a/docs/images/process.png b/docs/images/process.png
new file mode 100644
index 0000000000000000000000000000000000000000..aee11ef4c4d917132c473906eb1e8cf1106afd2e
Binary files /dev/null and b/docs/images/process.png differ
diff --git a/docs/kid_presentation_2022.pptx b/docs/kid_presentation_2022.pptx
index b133bca358559098bf5911855d62d1073661dec1..00f9bdbf364b8308c216420853c3609638b5ebb1 100644
Binary files a/docs/kid_presentation_2022.pptx and b/docs/kid_presentation_2022.pptx differ
diff --git a/docs/snips/deploy.txt b/docs/snips/deploy.txt
index 75ee795725390c0c21c4a512509326283f9be95b..bad9a4343f5acd27e7445ed927565e8bf0e23b84 100644
--- a/docs/snips/deploy.txt
+++ b/docs/snips/deploy.txt
@@ -3,7 +3,7 @@
 | | | |_ __  _| |_| |  \/_ __ __ _  __| | ___ 
 | | | | '_ \| | __| | __| '__/ _` |/ _` |/ _ \
 | |_| | | | | | |_| |_\ \ | | (_| | (_| |  __/
- \___/|_| |_|_|\__|\____/_|  \__,_|\__,_|\___| v0.1.17, started: 19/05/2022 15:14:09
+ \___/|_| |_|_|\__|\____/_|  \__,_|\__,_|\___| v0.1.22, started: 15/06/2022 09:18:15
 
 CS 102 Report 2 
 Question 1: Week1                                                                                                       
@@ -17,9 +17,10 @@ Question 2: The same problem as before with nicer titles
  * q2.2) Checking if reverse_list([1, 2, 3]) = [3, 2, 1]............................................................PASS
  * q2)   Total...................................................................................................... 6/6
  
-Total points at 15:14:09 (0 minutes, 0 seconds)....................................................................16/16
+Total points at 09:18:16 (0 minutes, 0 seconds)....................................................................16/16
 
 Including files in upload...
+path.: _NamespacePath(['C:\\Users\\tuhe\\Documents\\unitgrade_private\\examples\\example_framework\\instructor\\cs102', 'C:\\Users\\tuhe\\Documents\\unitgrade_private\\examples\\example_framework\\instructor\\cs102'])
  * cs102
 > Testing token file integrity...
 Done!
diff --git a/docs/snips/deploy_autolab_a.py b/docs/snips/deploy_autolab_a.py
index 3e8cdb325db7a74b0054182ec6a7853ec3147ffa..3abb33365597a48969d05b2e33cd72207ab28e23 100644
--- a/docs/snips/deploy_autolab_a.py
+++ b/docs/snips/deploy_autolab_a.py
@@ -1,4 +1,4 @@
-# autolab_example/deploy_autolab.py
+# autolab_token_upload/deploy_autolab.py
     # Step 1: Download and compile docker grading image. You only need to do this once.  
     download_docker_images("./docker") # Download docker images from gitlab (only do this once.
     dockerfile = f"./docker/docker_tango_python/Dockerfile"
diff --git a/docs/snips/deploy_autolab_b.py b/docs/snips/deploy_autolab_b.py
index c2f3567ae5e2c93cf8424ee429f36f65b56ac227..db9a49966a1a73959a69aac6751b1d6a9d500485 100644
--- a/docs/snips/deploy_autolab_b.py
+++ b/docs/snips/deploy_autolab_b.py
@@ -1,4 +1,4 @@
-# autolab_example/deploy_autolab.py
+# autolab_token_upload/deploy_autolab.py
     # Step 2: Create the cs102.tar file from the grade scripts. 
     instructor_base = f"../example_framework/instructor"
     student_base = f"../example_framework/students"
diff --git a/docs/snips/report2.py b/docs/snips/report2.py
index 1eb0160a58ddbdf156da500c106263207fcb5775..e7aa0ed0811323a8cfe939ebc214aef6a1cae2e9 100644
--- a/docs/snips/report2.py
+++ b/docs/snips/report2.py
@@ -1,4 +1,4 @@
-# example_framework/instructor/cs102/report2_test.py
+# example_framework/instructor/cs102/report2.py
 from unitgrade import UTestCase, cache  
 
 class Week1(UTestCase):
diff --git a/docs/snips/report2_b.py b/docs/snips/report2_b.py
index 64c65ee7ee98bdba6391fb85ba72d8b0786ade50..5de6d0b254387e7a82b58906cedd82ccabd43215 100644
--- a/docs/snips/report2_b.py
+++ b/docs/snips/report2_b.py
@@ -1,4 +1,4 @@
-# example_framework/instructor/cs102/report2_test.py
+# example_framework/instructor/cs102/report2.py
 class Week1Titles(UTestCase): 
     """ The same problem as before with nicer titles """
     def test_add(self):
diff --git a/docs/snips/report2_c.py b/docs/snips/report2_c.py
index 84d7fd528956b821c42d629bde548865a1e186f0..aa444a6283536738901c1d496d0ccc32a9d6179a 100644
--- a/docs/snips/report2_c.py
+++ b/docs/snips/report2_c.py
@@ -1,4 +1,4 @@
-# example_framework/instructor/cs102/report2_test.py
+# example_framework/instructor/cs102/report2.py
 class Question2(UTestCase): 
     @cache
     def my_reversal(self, ls):
diff --git a/docs/snips/report2_test.py b/docs/snips/report2_test.py
new file mode 100644
index 0000000000000000000000000000000000000000..9c686bd25db47875c75bb330fa8d6667edba17cc
--- /dev/null
+++ b/docs/snips/report2_test.py
@@ -0,0 +1,13 @@
+# autolab_example_py_upload/instructor/cs102_autolab/report2_test.py
+from unitgrade import UTestCase, cache  
+import homework1
+import unittest
+
+
+class Week1(UTestCase):
+    def test_add(self):
+        self.assertEqualC(add(2,2))
+        self.assertEqualC(add(-100, 5))
+
+    def test_reverse(self):
+        self.assertEqualC(reverse_list([1, 2, 3])) 
\ No newline at end of file
diff --git a/docs/snips/report2_test_b.py b/docs/snips/report2_test_b.py
new file mode 100644
index 0000000000000000000000000000000000000000..75ffe46c12d70b0cd67a2be5af68445852f5644b
--- /dev/null
+++ b/docs/snips/report2_test_b.py
@@ -0,0 +1,16 @@
+# autolab_example_py_upload/instructor/cs102_autolab/report2_test.py
+class Week1Titles(UTestCase): 
+    """ The same problem as before with nicer titles """
+    def test_add(self):
+        """ Test the addition method add(a,b) """
+        self.assertEqualC(add(2,2))
+        print("output generated by test")
+        self.assertEqualC(add(-100, 5))
+        # self.assertEqual(2,3, msg="This test automatically fails.")
+
+    def test_reverse(self):
+        ls = [1, 2, 3]
+        reverse = reverse_list(ls)
+        self.assertEqualC(reverse)
+        # Although the title is set after the test potentially fails, it will *always* show correctly for the student.
+        self.title = f"Checking if reverse_list({ls}) = {reverse}"  # Programmatically set the title 
\ No newline at end of file
diff --git a/docs/snips/report2_test_c.py b/docs/snips/report2_test_c.py
new file mode 100644
index 0000000000000000000000000000000000000000..bdeaacea04f901b760bc377de5745add1a11baec
--- /dev/null
+++ b/docs/snips/report2_test_c.py
@@ -0,0 +1,16 @@
+# autolab_example_py_upload/instructor/cs102_autolab/report2_test.py
+class Question2(UTestCase): 
+    @cache
+    def my_reversal(self, ls):
+        # The '@cache' decorator ensures the function is not run on the *students* computer
+        # Instead the code is run on the teachers computer and the result is passed on with the
+        # other pre-computed results -- i.e. this function will run regardless of how the student happens to have
+        # implemented reverse_list.
+        return reverse_list(ls)
+
+    def test_reverse_tricky(self):
+        ls = (2,4,8)
+        ls2 = self.my_reversal(tuple(ls))                   # This will always produce the right result, [8, 4, 2]
+        print("The correct answer is supposed to be", ls2)  # Show students the correct answer
+        self.assertEqualC(reverse_list(ls))                 # This will actually test the students code.
+        return "Buy world!"                                 # This value will be stored in the .token file  
\ No newline at end of file
diff --git a/docs/unitgrade_devel.bib b/docs/unitgrade_devel.bib
index 80336770757d705c517e5a04e319b015909559fc..2de0c48889fe48c7693e60563702e52ce6547a47 100644
--- a/docs/unitgrade_devel.bib
+++ b/docs/unitgrade_devel.bib
@@ -1,7 +1,7 @@
 @online{unitgrade_devel,
-	title={Unitgrade-devel (0.1.35): \texttt{pip install unitgrade-devel}},
+	title={Unitgrade-devel (0.1.39): \texttt{pip install unitgrade-devel}},
 	url={https://lab.compute.dtu.dk/tuhe/unitgrade_private},
-	urldate = {2022-05-19}, 
+	urldate = {2022-06-15}, 
 	month={9},
 	publisher={Technical University of Denmark (DTU)},
 	author={Tue Herlau},
diff --git a/examples/02105/instructor/week2/stones_tests_grade.py b/examples/02105/instructor/week2/stones_tests_grade.py
index 2c70380bd2a18661b35394d686d7077fcae7b886..7829722ea0b8deaf92b9c57aa62674b7ea155d6b 100644
--- a/examples/02105/instructor/week2/stones_tests_grade.py
+++ b/examples/02105/instructor/week2/stones_tests_grade.py
@@ -1,8 +1,4 @@
 # stones_tests.py
 ''' WARNING: Modifying, decompiling or otherwise tampering with this script, it's data or the resulting .token file will be investigated as a cheating attempt. '''
 import bz2, base64
-<<<<<<< HEAD
-exec(bz2.decompress(base64.b64decode('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')))
-=======
-exec(bz2.decompress(base64.b64decode('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')))
->>>>>>> c85068a4875f226b74f0770e4dcde373175f7192
+exec(bz2.decompress(base64.b64decode('QlpoOTFBWSZTWT8jkcoAXEB/gH/2xFZ7/////+///v////5gbR73vR731vl9sBoE+t2rfWQ9mBICiVVUVLzYQu2lVKqUe9nRi7V71vvau7avX2CtmQGqwKpU++7gUqihd8891N7j6Hvt7Y6cB317gPdm+vvvvPvu+vueR7fe8+j6GdvX0PN6APLjc3tPVKPvr1Uj6Pdu7btNbSuul032z1pTzLUC77F7e2VvdrL4aCh9DXvvvvDwO1h59973fYj69yg4bD7cfNu90u0VV17fXvCfZ5cIPoe3PLzsFm85uYsIPt99tOd5TqbEWPu+90Hpre93Tqp2z2m9Oz203a4+rivu9evbYJSs9867Ya92+rnLZ52uT3B07Rx6leMezeu77zDyxz7uvlfc5Cl2Gy30G3t9599wlNEEAE0CaBDQBMU8VPTAkxTwTTU3qntSDxTI9IZNqPKaCU0CCEQI00U2lPahlNpNTZR+oQeoDRo9QADQ0aAAAJTEiE0RompppMZPSmjI00M0meqNDQNAAGQADRoBoJNJIQgmhk0p6aTTBqeiaTCNBoxGgbUaD1GmmgAAaAIkhEAJoABJmgIynoTKZqn6kflGk8p+k1M0m9U2iPU2o9Q0NDCTURCApPAmjTQJoTEnp6npNT00jI0epoaNBtTQaAAAHMh/vIAe72QjQCISKJ8IiqPrSCxQkkKSe+osVUX8t/++D3sLtUNNf9/8swpfAh0e+r4bo92zJ8P8H+oVjExcf7ze+Gbhz+CFildOE7loTJCZN4/ya5n+VWL0cdc5fHM03elLxUey60gy0NURZnehrbV5lJc1enHhY470xILS0+Hvak5Z2hS3bQlsi/Kml79TqrUVoyvKRtGckcEMlJmdjGDTl3Q/4dxeJ7Xw79CBL+vlvnunu4ziKf5TnScndLRfiV8re6xgmPLbUy1ADNAMAJ/lozz5jCIqKd6CB8zEWQJBJIKCJFJIsihAPpJKFRSCCs/2wbKijb/tBKREYkAVkEFMYjCzKQmZgT3db2pZp8kTZeDyUD7GkNaN1ovJ6qgWUFWCQVZZGiqgop99hYMRUBVIKgyIqpBctJH/Xv/6ztWLGltzH6+Iljof6R/JVrVNa5Zx/lKCSdqIFDDq1G8hPi8LC5IiA8DA8RPVVk369YnlYyRFKTLEqlnGQuWLq25M7007sxPSDJo9/UQgEKWeyLlkoFGD+l9YldWdZTZxCRJG9Sk/c8QJD3OkC4ViRY+x/mbEyYpsdDX864WsLaGfzYR91/+36Kz6t3ujhuHHjh2ya3HCYc20VG/U+KRX/WbNP9ecUpzsRtuvwlCY9yPYn5e9Hb7HX83buReMxfaWnM9cHur1wfGKvAe6yUrZ+Wzh7F4uVMJCL1epAiwQ6b4emDCcq2R/S+IEz++7K61SPg71Zw+GDd/ERJrwkHp8wmjE9szqve33F7g4JDICE8OePzKBHncRL1PEmGr8IkchndL71VTTYnXwkhcJikxj9uf3fXfFpfqdUmj5eTx5zSaGo/epeuGeTP6u/rZoZeT326+T11Iv/nh4QvAeHTtPg6VzJ1EZ75bu57VwRaa2Itzc1ikYVgxCbuHFDUp7IKIpluJwKpOuk2K3YFM5t8l7DB9PX1WGO67PXcU6rtMJFHcnKNMn/z6yLMp2zkaCXDfhXPB44WSnWOpezGdKWPZi1Lh7+Gct9Zf+CbYcU+8nrlu4YZGhd2yyUKqIpGvU8GNOdLacZl1mnmk68dHx77SySr67UZ8ashdRUT6z5Ejf65/F6l0jxNP8tKvSx77QXfRnFHbtv24MI3iGOdNviSG9+ohaSNPxmI7IXdzQ2yXdmi42mXinjHW77bm659j5XWyUTb1WZtIXptt3lNh+a5TFHvRH1PJlB4LpAp+gtz6BJ+YS8Dzfh8Dy0bUpshRRa2koCR7B5pCIJAq9ClPKB5CTM5yaZnzMxJu/V9vHu8zbElvPseqCRfVd/u4Ac5ZCGQnfbdF9roEJLtiHgLjczHARsrRlJpikXc6TZDqujfWhl4GAdQ4bwdQ0mZIhI1HCo3eBLXBok0L1xBA6BJIQhfBGS4DytzbBmsljnm72DPSe28pF02u4ucI6+GlwcAH0JPo6yu3SEKEA8qbJNkgb3++/bN0I2KGyGNeXKHyXa04Z2a3LldtUwaZ3DSCHdqTfjB78ofH5rjHTjqAzGMV8kFw2pwsQ0/Hi+7NrTIyYE7giHKidnNOfxJsd/JW2l4XOP11CD4VdvORxskbWf4zJCb+YLWDBixsB9W1JiSm8998Tkz/04vBU6hMwigj7CAxvAQzOYjcJfPKW4pM5523p+TbqDIxL8rFfEZ0Pmug2qYYF4k+Imta8d1PxbXRkzVtzHtfP1Un48zITvRgsvdWDk0q2OhKtyHDq5vlrptezIt+m2UcHiVzPfJPbUH36/mdc3elo7ibMJjY5wvh3b4R4SOvDJ24rjSbcDzdtAcduzPiKKNS67bniixXXuCO3IsLFPFNfpcpw3MlWM7forJMiWN8NU4Jzbk9hiEsjna9Nt1kGLlBR/etbBei4ttswIHKlX44RhKmvFi9UbXqxwM00p3CNi/zOVIJc8SP8bjJCrLaUbY8dXkHPHSRv3Zzlbve2HLMJeXB2+1ecu/65Sx22FUEdW5tcFfGgG7U1U+TZfRp+5QQrfQO3i+cTihy4tG1MsGbaSyCDGrEiA7SbGsBbPY4OJu4wMx4kdajlu36UzzszlnaD1ccEzaNMwdRXYvBejfbt28qMfZ9fnft5HDci+rQWbCr73BT6xSnuwiypMtJsGsi8hpC0d7j4EYKL3E1rnCrB19898d+j52lj1fM5nF1SB2hy5lic9j4m3CJgqUVpdNpRxMc+OkH4tQxvsZK6g4/iKEYbh9hwUqzgstbhSmAkJCtyydxr0PbRqC6FmXPm2ZcW51V+8vnXqeLChKWWuJYXmh7scL0kMyEkGKalmqe0ehJkUqWPhTi1qC+y/l332l3SlUZ+Wehp3PtlexbormUz3yYwRk+vZx48IZIRJ18hZE3lNpg47Sck5lIJmoHh4Mok9pizfAerQYutzoKRh/Pv+vvePLdxBovXEhNzpWjTfHB9JzYuN4+1vfBxsyNcjDm1XZbiL/bImUz7yn1ykU6tbvFJGZoTRtMPoa8ofZ2a5aDmgZi95mY2YlWomWVki7XX7Dasi4ilRVm62gp7fOe2sb2Q+EL5EBTfIJHUpqg5s86B24sO52441jamZiZomD97g1H4BjLLPpCigUJx3POjDKbpsPriIiK8cq8YlZRy93DPCxBQEoLpkzew6Cmx50VP00e+pWHuHM5luxlB+1zVYmjGrY0firYTOPhWy1ikNzuUXyLJR5ZwE/Z6r7E7vj66Yqy0i1NtMOor+S3RIGsXM4DXzWX88M3H1ExXkbc8UeYhn29zx6rMzW+ZtgaU0c+Z5WV2fS+XYOZGgpGL9+XHfNTju3hi2f9+kyLJcVDdc08eZ7bODHlGJjw0ds+uC72dW3bckY2GYP1LLccTeRJujJmyjMtdulzjF5X4GH/g5ftx6nqIwbbdzEZelQfHFfq7mc38bw68vHsOGeu2DZo7Yz7Udxhuk7HpPZ5oscmT9ZOC7LIB3LapkXM1JI4hCB0zL0T218Bjt3ORY5wTbl2oe2bGzaz2ZtV1z3Y55dr4xwLym7HbFml3o+p/kY7xaswXNQxMQQ7tMniq8Mvkjx4+XM8DszJpHIMT7ejtO3u9R6dEFHzNjkkrUzmMlJDpCkwQQEpxrvnwI4k9p38MC+2RMKhpc+I7BjXZjZslecOdLQovqeBEMpL9HMToohj4g/4jPzPDNb5wejyHcaDbdj6woooqPuUlEESNslRTQmmGCCxRrYud/s7uXNem/aArQKK1YrzBNDdrhcEBPgYjru3XSsZt2JkSeILC21ZNzZYdocNT3PA5MhCFnZfDbWyBYjoquQ/UU2K1rlqhm8c0OSdc6XWYbaT2l66YnzWTN0zOaB2Z3G80FX6OObONEBXgoItvMgLNFwRd8O3fah2KLPVJM1WcUPk8LLbhrviY2zd6dMz4oILRxY4znvmNnR2F00xwdF4rd3WbjOxhJ2RvteWobQ9ujbt5uzK6uaNYVaVVLc6Sm06xe7a6Zk9sKEXdUNnvvDYLs7iuciTBvR+Ax9BXQvocd+9scUhJyaMYqPDMpOpcHJN6nnRpdqf1huUeQiUIonEyKUoPnG0lSpUwiJKJIUr6Zb4ErBYjJG53ufDRNB2LK1JOnqdmVL7BzEz7GxnjkHJWCKitQJNnVScnJ8n4lbo78N+BnRONOe86ezc2Y29pZs8bLR5u7G04vl1V7Z3yKa5TNX+i26vblyxwx6znkNWy0gywzlKml95pYIK7YTabIYQW7oW+6Q7qUTxJv71fzQPhtiPJdHakGwg8fKejCLTW8rJLqo5E43hEa4DIi+w9LlL3oCuD5/NwOdHCnZoHW190teyLhRdxVESu0yjXlGi5b3HTkWPoFHT+Gmr5XWHYQOUcYki5nk1M8b988cK4y4zjKwJ7qtS3GPbKypnBBtLVquJkNPp789i3u/PynBKGHDqDEI34NN4wGG6N3O/N38Fb16eGdNOLknp3l9aduIoMfPFlIydMZMm/MP93WbiHRXoiQO9bh0g0LpQdSLAmxJ33PgyXCL9Dz4FrEe6L1zGttyd2vjPl43i86+qmy1FOYlWylNscKEpYMmky2EYDmr31ZU0fAlabsdLK8jK3iDrVn0HG3zlWSx7j9FG/V+EGz4RCDRoqlT7dJcTttDJuDl/nfax2WHqjyqDq0s47XIurCrdjMrjfTqzj16X0UjJ361Nf6u0offCaFuMtzG5zNvJMruej5Txv5s52V42dGZK9D3GAoQgIC2c4cXFd4oC1ke85+zE9DkzsNw9vzGTF+U2A39U/61Pe7+QG+r7JFfLjXf2d1d3DaIoixes+bMdgQ5eOQoXIR2Aj60ExHucco1jNYfH4wc8RHlszxt3EmvkcEdDHCAlP5Pyiz1naZD3s6MUTR/eG3q0KoYrQbFp71s6BSlAqIyLDXZlPJOooRSr1z5+Z/CX5KQove9Rwd4hV5SOyzkekq6xTyLtT7B7bKY/4Oqzvb6bu6PZPFYaa6ynLbZ9lgjuVZ3TUflntWc1vz/Vv6a1nnXv/JxE447YPMyUXR6b15PrWdLPb78eO9dr4vfR5344VTIWCzpnBb5mR7wcHG2kO3cjEMAvvZsZnSO8U+I6+W+UnF55T75XTe7AMtxIgOf5p+S+36L46dfmyvJqnwyxn112Ue/dUcc1tedOWHbPHPk+2NUzTd8Ly9U6dXg4LlKGXE8voUYshdomgSc8use7PlXYJWRGQrUOBqAZEFKjypG2Vge38dk1r98yXODg0QtswisVLZF2TujwQ6yxfehoW0uMd9fSufF6/Vpx3a+x8MEZK1c/4/k6Tn5uXKc6TxlhU8T4kLuixsFe4qoIqs06MrG7FDEYmnNElNA6St0TBOZ+hPsQpgfC6+uVhcyiKT84UGM4RZolu7NbWaX8u3GpNuLcunHWVEN1YqxUcLyauWJDerGsisTbNM1aUl9oiJHkzoXdw8G5KdGL0P9KzG1EUxpRif46MS8vERQ9yni82OazLdmgrg9KyliQlcNtFfvoxkaRY4i1r6g8dbHZCn920lHxA90p+4ez55uYbFT7TIpPk9vj9n9gHjs9ZMe72XyFOMArBvsjmQkCFXv+lGsEDjqfJj5jcdX2/g3IiqqqxA7kIdOnPmlerfdUTzDKMixVVZDbiwDVDXXNoX4uhuwwLPhVFIKHxRkp3qlZjbSo2yrbGIVYySqyVlWkANAkDXxNkJJQJBx1Pm8CROg1dHEsxNQWslQr3feGZdAvFxOEXARTEFRWKRGSaEO22OpTSb9w3SFZpvKzI9hVRhU+XCpRDH251d+PlnLzhy/hxvilMQ+pdyHFS3fynLDVZdqW0qhl9CUiwWauyNwxq3HQsJulp3Kj2E1hp4No9eTWLV3MbflQt1cFFvjCvyeTBdzP9SXMZzDJRnJDLKJlYw1tjMLjjczbSWbb6POrB3UZF2TRul4UQ0H58Pu6rSfOsRZGZlmOImBNkNRJFP6i1FC/SyLMH2BEtwIPLjBoyPhqsd3uilBzGHxEuJVB6lgiTymbyhk1TAzkOYRmkN6m5WJSw4ehiVlSGBdjbkeAWId5kNw7u25dPkzeh6z4/G4JM00Do0absh4uCAgxDJxjaxTyISdxpToCS++AcKOzMjMOIfs2XbP5GoTMXSKTp1lPPFC3Z6FfRPFbNZeFGNTXqNC0wyLJyQYJ/siOQ4ZC/H5Oy+wyVlwO+W4VEsIRTsV1r7uQliYM6SUPRnQibSW484b1o626yVgkVEZnQs5NfeWO7PlbDSRLjEKTl6vij/3d31fpkdhku9FkCc8Wm12dDLJ7CE5bEycovkzzbevGC0xflWabHwTftO6acVIh84iUE/kpz6cidqhX8Zjutd8aLaa4VFA5GrjnBddED5LoWO9QIg6EE+gu21rd9JtIdNa9p7ByTIyQ9tS38vT5rZmtK55TKUd/2pyrllXjZPvk5LSsXu/JeHocq+Piu8dOfipAtF3Q/GT6JSkreS0VFWPChImTTrvekxShQvvf02ysv+2MHtNo7ZOmF8idEg/Nk/JdceKFplH68aSPkzxxwt7rS5V8WF0PMsY5EPwUiyKOF70prSCna50Tc1wh7EZdmt5ljryeHSsQ6YKI+Qslm63cA8JXE/BeC4mE8B+z38mHKyyZc5dLNzVKbIh5Xki0pxlZH0OHjfi5PPmSNEW9vj1KGyvoRqayBi1x3vwznFF61bdKEhTeV8lfq78stdbLWsV+p3SNwYlakkbJKiJMdMIX6d8+nM0ppsZy1h4TBLnXjw6vQNzCDcb+JDbauQEFsVTRN2MbuFpnhMVCljvCVI+vSX5cSflT/B15eMa54uW4LzueEU/xejp+I3bzh56/HPyofq36HvvM2javmhQxEOySHdFOTM4kaPNDyIZ3IjkzNdJeEa3TlSvbdxhYeYjFQodo+SqyvTPbUt3Q/z5L1vlmQQdj2I56pG/7vtdbv3SePf26l0TPDvin/ljZ8M2vjLpfR8rEpLDnrJFPx9VyTXf3ft4jGwrGZWVpfO38R84y45r1rwVE0pepyFasYte6Vk9qOU6WQ3es7uMHVg2y71wuHSO+Dy+3w6xOJ9E+XUx6fVsg9s5mVPaN9S6XF08Q/jPzUGT3Ud0rYLF3Twsu3VneuCl4nnx8/fGmWfbYTjLXgVKyscy5UxWamYf7ImV2qV5PxxfbmPtmz3adgcVfb7RXSuyup9Tzza3Dxl7uIG7TXjJ81Cv3v54UO6IE/pwjxP2YVjBU3rCk+e6fOx5p1RP/x67yM30EYSq8a43d380RGImpmkQnbyxMUev1Yk4v68cdnvO4rVToRJ+21yxAp15XdKEr0USiHdISCL+zsgoenk3DbdS/IJauzEEtx85IG9nqsqw6C0QTGsQkLEJScfJYE5MmwwWaiERgd3HPox0enW9F9Nrlgz58dXD5u5DUj0XIfq2DrhclQDV2VFi+3HlM4Q16+mfO5Itb6/FPy5HyLGCCHM5dc0WkmPPfyaxXCbOS5cizDl+B8Kv7j9ht5UVP4zKnZrwWP8n3S4XW6ucDq7W9iLk92GzHNQ9OGnfvV10+iut90NOjzGwvjzoifCoEpcKlJdoT9twU1yMifZZX5W2ZzfFjBdWTmNlSyvE9+lkq4yUQyvJMTUp+7U1pTi7oRa46dZYuSLnl49WLJDcyWMXdRLdElIHHYU+HblhjjUQ9kHVhn45GF04Din8j+2LML8cMbCniSsONiczzpnzqbwRvL84HY7VZ0E9uoetvRMnkaaor3ddST8cBjynitKN8Xqw0nQWcdgwJ56VKl6yuclpBDUklEOR/M0cVbKEEmQOmTDXl9kK1xGvSzZdnbUvsH9Y9W5kyTzR881f7vfPSffhZ82xzo3hx/T1Opre/P7OtV3Tu67bsNJ9/P6B0FbfJue+8du1F5hrfSZtww1xWPJm+Vb9t8duxGTOiS3K5M+UtKCR/SO/2P7tMHfrLVZgQGBzstJCfuKNJuPUjvvkWo1q4XIaEXN2Z2byb2U369tGwN2+G5a+pj1IA/hkQJj2ScwHEDP9TJfTJjhQPGJmQk2BxJt9d5JuPCCm13qOZW4Dnz42GkfVY3mVIaEa4Ov31fyelMT0SOOJ346mfAinnupWyxCm7rMm7YjyIJKPsgvl7Jum6mwyhKru8Yemc2Ui+KjShD+OL9mvKHnPUPiiiYcuMT4nJ+OVQkP529foEh3Pj7wxPSc9+YaiNhA2yGhhQDVdt7aIKyeZAppPxeNlLnvfqnX0p5dlhaVTq4LvmrrT5zRhGdYnGvrz1+e9cN1zisc8c9eWJw/b1GFQT5GiKKqwKMmyO4ni3hpL+My/J3oGpNaKibhw7GuVnILhimNRuUlc+bHEbDGBszqLaCYkxIYcWxDjdQpyi5VSXgppKMpYjcoseW9zMwC3IOg/kCBRYDQpxS6/ENL1jmXMtcVkR5tZVKXjhFGMJEMQVkSP+fl8MyzEZvvB2wA87ZjnXx1ME0CiVQkQ5j3xHtNZqfUmTjv2TcMgglM+qchM2/rFMhCqFLypLgXQQzb1mxIMIGp8U60kyCOSvKcXng92JcQ3b4vEp4jKloPeyUeQwHecgrYNJprSgih6Dcbg79MhjwaOLtDWqmEOTXlIEJY2HBIYhIn3eNssyW4Enloc0lKB0Ogb+M82nzY9kXtiyy4OTPZR3SXkrl6p1VGSYFUKfFzrOQ+rIQWOdOCi1EpOdfPCDBC2qwzSCk3+YLbN9/dfeRi9DsLHsvK2yxwQJCFUpDdYmocWKQyJjtyyYBDL1ZpYnL7RHo+B3ihPXsLtVUGuIIwde9UoCZApCMRDIRu6Oe3I39wHi1N52aBTI/AMYB2nZqAoBwfg1LigQHBxoB7utrJHty94W2FgQeQNzQH5At4BcN8m4r+B9MuT86H3L4+Kv2D0gdNWl3zsSjRFYZqoQJmRZt9essMKUCjjDiGu3XrPRt4oJq0oiKMFUQN2ns4w2rWGeGoPKTTXZxqprSuzNid3cnknRIfsjt5igWfUPe9iZvxJkmGqKeI0B5emx4h9vrs7/NY83aNp0uqmD7nvL/LCxiK7Fl6cQn/o9fo2opIS4c93LfCvA8wzq3pFIiwXztVBuUwRRV+ej9Qw5RDianGyQ1DUjcsNm1h5OyRuOJWSTKVw5AkMmkzBfibi03hb/tjLyM+XN/mkVtdyXrX1u4RY4dSiEOPdGhhbbdCmFefi8zbmSZvKEdi+mQe+clvzeaeZ8AVFHz1KGKIqI95m4WAkvIoeAreIyCNevniJhINnCXDl3N3ifJu9uFgNmccnfTibpw1X3naFLgkxodqu2iFqnMfYD+G5z3fZ8bubc8GiIa8R3mvgv0aPg2Zrg2beY3O+IxFOoUTcPsHfM6qdS6zjMlJ84VLEZCWSA0kyd2UTLCxl84lFwVqavOQURJKEJZLbA7xOMfF840/EGcLLxrGzWOFZVmHhZjcqJmpKprI1AYetVWk0JNm4uB5lMaikYo1T28JXiQDSm4RiKnIqrLzipiUJTRnL4WsF2908XVp3vEjq5miNde/1ZegcBthBqz0tz1zQdnHZLDIgsQUU5UqYQ1ZbDIZCJIm2yXsRQpXflvpKuBvIoZZX1adZXkGg0Hr2xh08htnshZ0OiVVWRgisVDw31OvFIgKeJCHBGGtTj4nBPFunUmdnDDevqlm6y2J3GeJLpR45hXn48zh6lY1kxjEZI1hW5XhqbdMVxqa71vG3swpFGE5xh1qajNNhJMkvkxfJST4re6WYfUZha+AR2wPeNarWaiOMuskaWqSriYmZuOGCmbLx5MtWxntO5HnXUqG54XOLZFu1VlVa7LS676OLVtaSSW/9p/EiWOBAIDTl4MABomF1jkxXF6e+nhmN0MY1jzac+7ynU5YTAgwvrd10tJqGo3PWQrLCFJhOmLtgoTnlQYvWiBo0vxqWkqZl39iG5kHI3++gHawRJr6ZSVJz8iDEJ2ZYJ/DaiezHPtHlGYeZcECafEHzY571nuM4EX8gxgOBm20DIHp+PcFMNSY555nXI8ltpMYxd9ExMbgGka9wdf3r50ke5/1R9F0tvwvaj/39b+23BUknqvbntTgZ+koVx81E3svLV16sYBuM+YiJHmjI/qkH4z+3z+B9Tt2eGxj/VPirWzzhv9EflFIQ3OJwKJO5JXJHw4XxU/yD/2Gj8o+siZiR9Bp6UTti9cXWydfPcWV6KnmTw128MeTYrdsXc9DJMNsVURX3uxM6nWJpyDxQKgepIdMKo8ral7Wm6SNbldt9uL3QrnN6bMyRqkkbdmih7iM8Uw0R1pdRJaGIaTTR3sxRu6nLhMaLFYfNMSKaE6t3SU9ffiS9Y/LOpqr4e7J8Y8JHoxivmUvrp4fptpy/BSxZTlErkxLCUKknjEc49v5kfcCEsU8Nzo8p5vaP4fwYoRQj+CxGsiySq/hLKQ/uly9KNwL0LIqMiNQW8JESmCwgsHGgApCFQUMYGMiIsIFiEksbumsBYEtgHnNuAev31mBNn9lK06qmadsHI5vUZouusaQmKGWp218dqsv0rfM1gzYZsOf6FeaLFOi4R4IiRvjwUYxNSkTciTy1YLmnqCK/PHiXnBi1h8YLhVKHwZRDzMem5nWLhQnjDc9nPeuMaeOG5Exxxi8QYYrHQV7/7RrlYWccDI7efk2sE2I1VepdWBNt125a2bqRPut1snfatu/JswvdDOZ2EWJRl+e4wbpOw0sLa3wSWpedkUSnv+BFkxTcbFy48HdlPlzqYztg0IfdeRpkT4rQfINt3KabapgpvC3mfHvAOaz9rFsfiXIxhByKQJG9b+xrZlViJrf6XfXjBr8n8IJ9HLL+gBA9j/J8//f3j2eelGwwZuLBbSQrPnM6zoponvQMnuMGmNX3VU2TqCRJdfModYLN5iyOY3dHw/aN9kNYx8PL7BdcO7oEkkvGUyGMeAQ3kZwcaG9Rif4I/ge3o4fYkt/9L6h1d/25aAS0IHaDRSJcgTQgRW4fLqbFJAoHuHyHgYFKX8joOLZF3/b/v/XXx/r0zP3hPemgFISOxndMLrvPCSCA7DTvEhp1TJMmPGakQHAA2xE5th+4PPEiw/bYalw7MpNa2weM8xIJ0YBx15zmYDEFo45510Q5vFTmDAL4rIhIkIBEANfPQd+0jCXfiwfhPL4uY7jnZ7aWYib8osOQODahBxhJjSCp058xUc8XV49xrE6cQResmQjJz71xktQYj8GZ2NBIdkx4erxBltmZ2t3IPmRyARIObJjX0ShNvdntSBP4/Mze6WJoeMmZWUDHDZfl+pv6GYkkjh3DPE6ViOENjun2A4gG8YmutOuygiFbGERmNEw+qr0NGhVH0FEhGE8OwpSx726pVVZeQrlCeksuThRRr6AgIGuPaRHpn3EmLD6LSp7bm5/2Ds4uTIhfmoa2KSu3ryAq6vN5VV91Kh2X7F4Pl7GhldyFiKxgklUa0o6sRNzVfxW7UHZxbmQQLz13AgbYSOx+kh6evTCEkkykfqskUGJLP4ZjMl/1j3M8yaexJ/3nM8Fav09LpculV+hJJ3HeTZrwRkIIVllkR1TgmYAjPEkpWwnee+UR7ucjOfoNY+Fzf9Kfsv6Mzc8OBw8fXpBK7RErmfncHQwcT/qaH87hfvKeXXWfPz5hlnq6h21KjmpJy1+zVgPxAmBCS3JxCYQPMhxHB1Pf7Mmg/P+cpaeT5WbTwQ35tlpTqr4ePwhsJhQQg0Pxz3T10r1C+N999TTShw9E28H5pMVIVgn6fXc1Q7X+NypSSEJDNhAKThxoqKk1YF+FcHZ7krRw9/2uOdD8CazgFp+fuu7zU2vKXunHdyyVZ4fHJi68YN6iPGOoexcEPGVSdEr9kFQdeNp+ZpJByi0PT+N3AvyLHZOTzmqkjp7k5iKLtLeB7q90wSljXjEmcPeqidKGge4H25SI0nt3UxAl31AViO2IJlvP0/wb1T8Q6ShS5pS4gpUtrlMjs7OjhUCgQ6M949peM7lvt13wzrb0JN9JiHVLHo5Pr+OMF1CwjsQ/I49GojCt/B47IqjrlSGuXvK4vjDyOrZaIhsII6poTJCZImevWe3bHuRImM5qel+y+RQJJ7TxfER6uxcDzxBDTUa7VKjE63cNR6E4W89mc21+Jy8a5pghvXFjy7eq2tK2Yuco1h6JI15+AmAXIfCJDWmGevryXIo3B0lOkQy1vE9b3glYcfccwTHxuWzH7lzv2KqqP0735UUWdVvYUsK9W2a9P5Ls9dLwkRkfeavazbKTHzMObOGbI5fow63SaUj6m7p9pM9FL9vuuO9lfdYVejXkJenLfngwvWVPvsOhQ4MdbjVyoJeY2K2+CeH6SOtcs0iCs8nXYcEBTAmaWpvQ1vy32G/Uztnfrs3jlpai7zNljF2qtWUPOiiCMWaNRdxxxR7Msl41ni3o1Edmh5UlQUi/KLJOlvr3bsJhJ3vq6SZYsO2Y46Y3mHmYSAojjkJq42uhpHtaMQRU3zOSjPiOukypbU7ENcKG86Tz73dp9b+NbkeH0Uz0mySpENJHdufZNgJFjiUrL5KTNYdDqvn0oxVEkK6I+HHCDjHWc1aC17HbEE3/VjmXEpfUCXmh5rUzvChvNO+GDBItufE14ueYhVbim/amtve3R5LwW7baBuWPqjW1O8V9vaGLU/WohpQPDsnTiRSZ0H4P8dy5p7tiGbmmZm8iOin2pseFs4S3ZSnMnFImt0R+OZBTxvVKx+Xoei89kTpOWET353NWAHZX+j0Y9m3BTrWVkmfLFfiH1q+G1hpJPj7Ox93+L6R9IfCwq1ET1v/HyvP0rQrsu7gXXhWrG1SzWX9986j37Kd1107S+YO0lEHGGgRA5cRqaTacOFm90m2X3/fVuIiRfxc9WRv0pFb38qLOnOP992++VbuXPlXX086kjZNch5bpXrnQtYOh4n5Lc95Fo9pwKTpIKXMUZwAtP4fGktFKP6LT7NlSt6VUHXWEL1X6rjm4B6iBkTVPoZiUsEgja7Vlyta7eEbwcRPSCmpnMn30pPp6XIXGRWADiiIyVq+x2OMOJD2HtIMC4UAUGgK8z/sDIR7tCGY8S5+rSGUOe/gN8WGjAzGTQqaXbM3CpTBsKAoPe3Sza/fJqDoBDkqKa8JIpITaOkPWH4ic+MPGZD7ZjEPIYWKgqBvYTkH3wLktFk4HtOvQOZD4Cbw6sbbhXtAonygjc/mP783lGaNNVs6C6GlxLuCENwfRrE2D87wI8g5myOodgbO2qOJ8yQ7E59FzaJtwSGphTTLHAeI5uFdpCBFeC7Xbz9RJkFFMgjHcOrrDvMBkKFD9foEs6TpTtDl1qow7iBllku0p9VkOfaUEMzWwsAUK0PbpPCxA7g8TMNwZ5uadcrWjkBBgWSBaahLB1mw5QwOREXoB+ogBSOhYHuEgWs1WLmwt5hKI51GcqcAhtBk3TjoFRn3WXg1zhmKVy4m/pJtTSShImhOxGb6CmdRkJrDIYWCQY3Wg8wV52OiBInDIE3+uTGWvPpNqy2uxkYIIoKNNoyIiI7wOQDjNQDrDg0hpGXNhw4ibjkcUUlQ+4KDAXN1Gqy0kSO4vSj2QLN0r2FLgRiIhfiYjpb83o+lvDonJR9UkO7uKY+MKOaQPTy0tiBoHmU3nfIfjREJIiQA5Qlm6Kw834SFGpflX1ei3q1HoOBAn7JRrq8hYLFIsQQUFgGnQqgHCQhckwLBEBkTqmeg6UK+A1BBgiuEKXZIqrAogIDGWlYX+PYNp2gqiAqqLD7CoTbuUwCUpIcLkgWk4XDWrsC+DVJMAxbeROqjp/5QuVREpD1FAROe0NZNwpVA3DR8Z5fWvmo8b2R9evDz+csMjhhkVmeRRsISGxJZsuC51nUHUkAG6cQUhxToqTuKbDHoTSJufiUXIgUQWKSLEYxIQpQoUDjgk7ZUjBjGPcXJYpOCO0wq/WQISRQ9c6NsMW1BECCxsf7tpibC1tUFwkDXcRNWSFqF1pT0iEsy3K8V1r1JtUvAXaQ9CeDuBMb4GEQOc5We4RBPMdAeB+lUBA861hcoySMSchDIAndsn9iW6lhd5A3qn4hBTgkQiEiDVJQ6syA4M9gdFAdsECWsTRLemTISfLc7tk5AxJ3BTAuK0bIhEsEB3Ak1Ow9IAxgKIgCgCAgQQDXtRf0O/rDiS2KvtjCw+n6M7wxRKJ4mUCKAecOUsHmSkgd9Fz2GTi0mFEjnfpL9JY8bPqJ3Y81wuWYetrCAwGR8hc22GDBLI2m+C7kvJszkoDuJ4IskAUh9nOQqbBwNyvHetQqyss4YXZFeJZEK0IZEzO8FyoD0hpQtz/d1lESvoC56d3UOuot94f0BF3KHzQHytINVE1YYggrzL/J4xdlXdTwPpHTfIadgNVfWKytYVjmdx7MBSYMEK+S5+j7wMfw9lXDsD935iaE4ZDzVLrxch+nTIdRLvpZSv8JdUdFfOjR6SeSMcDTRAlBQv/ywVlOj30X+iBUInM7m3W96UI/ak0xHBcAoOrcUcnXP4dGFNg/ONkNU1UNQVSHK7LIpEA0nwVqGfYHfJMcg+7/l6b+dwmtRPI6DECGomAMUbopgOcqEfH5vlNMNGjVbFjMwZEzffixWNmM9AfoIH71fIWHqT7gs7NvrJ2PSh2mB5fuIeUa90tlA/7sqLlWSgiQFR0gYkMZB9RI0EYDONhZvLMRmAxcuBqhoogcGuiFXobOyFVRcww09nx1+RAz+e6tT0kDY84dMtJ3xFkysKD1stpIky5N+uT78km5tDcRRQG/MMgPp4ne7WBs0hyyElw1ACEX8vOhfr6h8Fw5gr2HiHQoHArOqhYMgggDGwrR/hHdygfug6R1a9p8jDhuyosAlb4dyaDofOXskhA5julrO3qiJ7/WFzo2/NYCNjIL0RvJdpFobybN6Nl1HfWQkDFBWgsUQOx+LgZzlxw/mMwSiA5D8tiiECGMoVxlyBkiHQpS8A/8hnaB6KP4/LWlGSGshSGwrTE1IBrfILsVr6YQ89EGQgsIgKwQ98pIeIKUkyEz4Ay6PhDIZlUDy3m4zinQtsUB3ph02Bm04EoaQQTa/AXTbbCA7llpiBVSpomGXhBmEDZpRdUMd97C2gsl1s4CIaQutVwBMyV2fj2ksYs1bs0GQz6Twu9sI8OJiabtCrGhaDSojdO2pVd8+9dNbCyQUlmzrbXA1Peaq7ICsgiRaopuibVKbiajt+kyWCP5g+gPb7VPbQh+cwk1DsA5Ug0sCx6TsKJZByYTIM61TtgGADDkLYilBBppfmSy9HeeaPw9Fu0PRmfFFQuFUUxVr0wLQZ9Iyw6OUIe9UPqJVGZlKLkQqAwlZgIjUMjgCWQSpMckwEKRNg7D7olGMPhcdKuDmSGGSdHtbtEu4qjV1ajdty2oy2trcwq5So2yS1s+HU/VfsCePbwzWUG9sYXzbTzkWoJPIbvKHCjpOfqP6C5yv0L7uL/tVVC3DCbyAguXYFz5Du6BI52zL3HDGUCjvD3E4HZOztEq6NCfl9RRPjEDveAL3C2rvpNINw0n2BA8P2P7eJqTX210Swd4VRIAhYxYCdvdZqJ5wkj2egrYmlHQeQRE21BwSgQmccbaaousgIEfkEeOYWjjFsgTMzSCRDQWiLShNi/yrsOvqjWXVHyum8f+VWxOdCe2jeY0QFyYu5pULpufWRn64zOGZOF8Dxg4HeSfzpy3EYssfldYcsxiJTYRCN5caTL0kgQjpn0Z+G80sMnMEdo4GbFi5d03ePooNmW55MwQIoxxj6Yha8XIyz5baNLnQ/S5RlNuOTnkuzlk1qd8g5htTkHQ1g6pBIrW2R/am/HW7dLCVYfKCNGNyU8cdCrikFrrO178zWDJrGJDCIEksIu2jEUcc78DT3o8ET15jjHDa8sz3OkcGNJCgxzjvpw0GDxgUjjBupx1vIqKg4lzJtEtDq7OWREkYcnhzankOIbSZvBBgNtoy8NiOen1RYiHzXG/HeHZFFj4F4rZqCQ5QgvjazA7DtxE2xmEjxrHhxREAgMmKtsSp30HvdXkaM2e05GatxdnqzPkKFps/dOjN8KEyy9NAd4RRJ5cWzXKYccdU5ApJgdbFI+owjHDtLxBNypNEKtCKbdxZmCC8DwFkwWSUJsO9EsgkgJpdy7z1vGZ520FuFMcPI06KJHTVEaum4xn61k1b6bQhaGdSqnAfBUuG+mMaExsDGiKDTaenqJSaYJWSkrhcRic755m0Kjid1xzveqpQiB3yiMGUQRdanGLguPjuWyqQI07CEJ+zvxK1vtGnB6Mq8OSPSiGyoGpPiq0EW4KCmN4hYBZRdi3ESiYqB5cVkM1Ct3q2rwJOfmFmL9DvPParqTz7Wie69o0rYGxCYtxZyQQosvCdXJ4d+nqhiqCwI822WNkFTNyBkuYQ2BsxiMQNFjGwzDdoDSp9JF6weRMkMpp8j3odpO1GtGUTunGtdVqTd3TDMbPJ5YMS9XZwjFkdWnRNc10amzejNRbPcWEW1a1N+d6Lyhm++vKN5Y2CLj5R8aKIUJ0aRjDgaEJra9zmdGGb2Y5HDYeDYFqgQjpG10z8o5gmd8zStIVDyhHxbjCPDF5h80ELUjsRhLvUrN07uTeYkzNK+ajLy64m4zQqootXlGtUeaJ1Lukm/2TlQJMmCCEIsi3Dg5JoSg2BcDJNkGESja5jgAuMVhIIbwoI8DQuaZBoDMEsDdLBmXQaCkKDS1gKQ/SwuazIdQ3TQENItyg2OreFgxaI9UKJFqhcoppx/eTe7BMP6sigsYDMt7ycJ0ARdxqNoDmuQp+yIfvtEjIQSEJAjCnGv8dJGxBFSEuWBw3hxjDWqTcIOdH2Tasa6aFjl23aLKlzN0zg6CYJh2QhCZzMkMDjNhKJ4FFRexqQyMwaF+PzUJjgdmNg4AchYeou91jFc5NZyQ7jcorzkTQGZoHOxIOx4Fagi5PA4WLR0kE+fH9FhTnxtm0FVL+80aHn2GvadYh/wCDpQlZon9cF95qR1r9B0GmDqNUOdiJfsd7zlyzdeiKEg7b4gaR5qBSe/rvZox1sz13rCgmDSiSgiSSjCoiWAVAC+Eeh7D9Y3gHCP3OwnwTp97k6jeYPuvbFmDxMCMTfw+TDg5wWhMcLJ57AMFd6yVXANHRMBrZO0Hdd95qJiqhSFdAbvHEI32YXQLgwJ3ILARgRZAQrG5VwOwfQGS5kTPxJ3az6vLHPl30QNunEccktKlUp1qt8QIlViBMOXh1EKBy4LP3JhEHOkZ5XHNmvOgDBxtoDgwEMQVmDGeWewxnVrptNYWIu0V6k1dIRwSN1cAGZDSlH9WZuyLqneQ6d4SEHeNiz8fzVMV4wIFMkZOU28Sgk0ShNa/4kRTaCnIzxaGJQ/h7/T2wq90y339Ym7M5qUPagsknUYEWIcdz94DP3khQrs4WtbZ8AfYypM7JjYywkjVuHKxT6LhyC3+jwp3jU/KLVodzQNo4LIcG8N5Ib6yNa8rxvnFlwpNt1WhRG1lKy1Cbi+28XtyoPZvvZkCZNqRhxDBvSGUUBSIigBqSoSwPmRUYG4YFSMAWAEWCyRWCRU83qqxE3KgaNoNkLBdoauHnAjCRGKuND+UemIj7P57C4CDIdMamg1I5Ql2IwKI1wFKPGFl5MWeNlPiSQgsF3gXcdNP4+BcQ4AAckVjgLlgPftOeDCHpjx81OTxhdT+2PAC7xIGR/TPSH8oVt2dz+H7cah9xrbJqD2kgSRK5KYUUNQrrQfMixcFkoTsR/+kRD8h4dMOjK3n9J7APlOmIaQAtcaiMsolgjFaUrCtghWQaBMyw6zG6QA0KMESpRgBVEJRApZQFEthQWMJGDEVRkRltrZLD/HBKUGMRRMEjllGGJYwo8M/cM3a3EVCq/YG33DU5htGjxbCSBRiSa7IGIqbyAAloqQiqajBktlAO6u2VY+T8E/3P+tGBQZAmlmRq5Czwn88OJHw/LTInbIhqSjmD+d8DYL0j2QISRgEV6l/IGor6tVp7tJ/J9D7O2GQjghxgabA/L4/Ag2Lwcb39BMg3O+76bMLceVY8l4eBKCxdiJwEsvNgxWasMr3GACzIIkRjObTguo6SURGD96mienzmcfmGxirEVkSLoTgm4c87sox5ETozk+c77KKl+9T73z7GXxq3an0ey7pumPt4u2UWsghsWxCJO4D2O2oIvQaiSZjpzrGH7XusaUYwM5nWCOh6x2N6aS3n7E2xveUncEt6qeS0N41m8ou6uMQPn+U9Z7DmT1xRLor4mkuqJOYwKFMLCsCfG6STCMQEFFRO5EZ9dh8o1DrCVRlBA0JUBidUiq2LUkYwLDxx17yzDvkgdEcC5hEYxUa2k9I20ksnUwzOxEGDzu0YhYFUIFjDy+rQwcB5TSbI65sLLvQzHoGBYwOq22whTQM6nv5bWncQOMChpCBAg77bgpEdpgvuOKCCQiyQRBMVCHC+w3M8/VctNqvCewYa0GTCpAtYUksYRe+DUFFGN4yqjTyEpsRQgU07HILprwi33eTMMcfF0KLllICYIsp9nmH4mT7SBiOxKTqkGRYBplRRYUtEC1iAxhBQqFEBEiItBZCekEAKZIqOnSZaR/uwkjCISH1mwDAGCPLqQZN6xkmYWjFQYdsDTAvZ7T1kzHPlnGaVL6B7oF+vsrNnr6e7yucjk1/bnQdaa2REiKDGMRkWI3sNec0gISGtNESwD9sjIMFWsoO/ikDIOvSmMy564n5aOQxppngJAR4Qs+v4tgGC+QAe4h7lEijijdKIPsOU7gPsG+j5xX7ANESJEDsN/E26TPRIgZkmCRwPbibmE0jy68Bj4m9jT5LbXr8Th53oQ8YvEjQuOOJxYS9cshFY1TH6OkhSJnSSfH5MTLSRWcVM/qd0i8NmBpuYaC8VRequGYwaYko863IkxtZziXoxpZeyM9FN9geCjlhWKLCjs8PPVZpNkgtZX13mKxMiZZFJkTsFPUeFBwOK/ONh9/tjjA0vaul9d9QaxPgGwgh3gfCOQCSIPlAP3EEVxDWEQeHiDpmYZDaBIrx9J1hwwoJ989fxwUBibfgetLr9BhkkKPCFyXLl67cwwoxypWwpbLaVlF+CymWKCihbdiB8hqdEySH4YXuYQFA+JAgooKQnxpO6CYT0nyy2EFJtKFMtRIkBPm854HeFaCAc7mCZ95lB4bAwSijm5L39MGjYA6RNERaFXUHvMatHXY8jo7aPOGcPL5kQuLiUz3bfXf4ZxifVP+VnlQstbTgiisvrCxjeFDDUEHwxp3GgKAoQzFYJCGZGKXHHm5AeY2f4pyZDF6GByyoNo7EIGh+oOvmyIwdFJCRSEOVspaS2yBbT7JczQoz8RaBpE5hbrU9AkKMO49chsd8Xne1K5GenRd4TyMCIJFYLESIqqiQiyMQioJAGQYJGQFIAxOjZ85FT9af/yDQ9T8th0FutIYQDsQD5dZAKQOwENogcsYsYDCRfdSFEiCSRZBiSMkIM7A9yd72C+ASlyQ5R6xKX1ecPOQCnh2oUjwyd0ogQlwgTIDEHmje9igjciHFnKjSaKX+oY9fmsNAPtTu4q2jBsDMfUJg9AhssMtdSTHaoJxQ7954m7U7gXUFGdBSaTSoz8JrEuHee2GnQQhAD8vx6N9HtkSL0gu89IYNnL0e3ZcumC5RYgSSLmZ3mCsHAMmynmDYFlV8bH55IqaAoDIC0VQwXPpODCg8tlMiqInxiUXwModAY2NzzOsPcebBJMGkwxcIawD72Yig0abbjhZOqPCFQjfL5VypImUHboU0XVRPNHOhdWcrxoT5LMENRKJRN0DES+wpMBnGrPlusCcolst43vRdp6U5TtEvSmcLEFR4VkMGepzEKuCo28GNsjY9foc9PaiPwUJCOMJebs3IQIfbnUyN0IdpEHCNrtpveO2z5zuPobHL93mBwBySnxoQIDt8dG1POMRfkBxzx2vR/L1KwgEYEgRkkCDEgIQIh1dRl/n139/j9eX8YGL2s8GwAfUyGYliQdKNvTJUQQzEMcNko7od5hLR42mxUEtpaKstKtSaNr6NbYEXjKhqi35BsnCbrMLtlCKLBHQkq6KltYijJRCKVUsSKNsK1ZulB4CgyalNxFiXWSKlEaC0pGpUtnLjc32oyZGG4AgUkQJuwNMIPuHECMjAKI83nyuah0QB4LogCE3SEDURgciQ3RCETfDcEG3AHiO0wOWUsCqnE+ZsQYcWjLC6xOQ8ijw+Fe4uEDUKGJL+x69w3nWCw5+AHC8c8kVBQWdj8Ldemr5kJ05OklQcI76uRFkU7AYYRxQQ7Qa0llwCxkxx/FuLTqC/GgWRCGjeQEmm29eJ9YaRYFG7zs6FA4K9CGqxsHxfs7bjeHiYtKHcZscWZg4jgbvzb/ctMMLrSQiGlWasBTrr6NBR1t1kGJAYSCADB2digRYGrOkW4hWSpQjmrvGjR0dfYbirwrZDvL0XKbtNNg8JiS2zlneQOL7OFJl22PrvfbfdBY3UCNofvmz2lhNqhJ2TMkMrnJWCDcs7CrpCHTlYVEaSvV5Dsz6F35DAsG0vrBhNorgYtQZvpqgSBU613fYqQGyIafsYhigagp2u0KshnS+f2nKWOU6aCfJS/GYIcicr5hkWHh6g13CL3CWIlpaiFEbIrGQRKIKDSCgVWEUiMSQWo2jBStggQTjzmSnuM17vSHQApLQfArEBkEnBzSbocHWfDc2pDR5fbDwOnFOKyzWttiulSczz+FtDLxNIcvKmlEsueKIajYUF4XJHvOws8kPCqMF66ul5LI+LZR5YvQdJAeBmEcCwbIh+mKKSAtDgyw2BbKcpdtGbzu2+UNvqnGPVSUZ2qz4XllemYkhvSBZV653bdHD/iICoWOY00GrHG1UX1urvx3pyxoRAgQJdiaAgNwNQLhSamg3qah4RoJMYaynyJTHibQ4Ng2/jQ5GcDQSfpKZow47gmy2xYqinAHdmxWJMZyXFkwZl5ETAVQMmUGXdhQUUgyZZVFFSDDbMMRVNJRq3RM0TGSSQm0U6kCbcKKYSH7FkDy7sqhQBjmrAJcMjCN6sxN6GgFFmDIYIBiojFYJiEowS5pzUUQh1cghNUNLi7HcOB0VzC7vTBfTqOxbrSaRiMI4UgkYMsZTQQxmBBVduginAB9h5WDYb5uT1FUCzxpg1BJtwljZBGomUUqa4jREvHXBAvEFKriV5F8JIDZNw5BpAuNihKCDcEpKAooUEm1F7t/Hzld6eg2DUSKGTpEBmiioffkZXMTjFSSSMJDssUPkvNbcjvUwW8qnEPPMa4dghVnnFuCdpcLacAZEiqBulnQsIU3sJqMhqM0aJqMBEsY3RpYQLiWGUFDeFgyEbK0YaIJs4MlImICkgi/3tFBSKCgLIpFBBCQSMFCHBQIMYHMJmFTAwBisBUVFgCIznMgdBEtcYBDXJHUBEQtEWRVDUuikCEv6OOifTT5r0EZgVNonSkNH17wr+JEeJRFQ3FtyhL76Tk693dg5iEfFeGwkVZNkSMQiFcTr6akfhTw89HxDY+CWXwC6FBJJ3DBGQAR8aHgh1568yzHtyFaqywE0RbaR9dNVF7econQQ8Du8c80TtsqdhTUiVAkVyLZRL3lCFEVKT8clCyzAEQiSEiAiAkAWBEYLARhFgWiMlDQ0FYggjSUKWFaCWTIh6daMLxq4xRtCoiMRATIQJmJuaaq8XJObxVCekAb0WMxhcDCg9Jmn2nV8OYs9DDPnq0raj91gIzBRW5m6jH9cThgSBBKYhMNu/Uy4vurfeWdmSMGRvhVzWYDN1UFJ6kB+4jFiMjshqOZMGTSbaXjXcLlLmOR5C0gPmlHoUoZFtGggLtOSYQNyuClCwH1PNBkEbnT8XqKAKYkhIyiBSkC6GmlX8oaUMwU5jWpzjmKP3/iK+z6zf2EYgDIBvUgwkhCEYEYI6z9Dc4F0wHgQL8JV12Cli1BYKfGRIh8NGCwr9sRDzLcIMikGLlOsuJJaFhEKg1RQklBEQgWDzHSUNwYOAgjkCb4L/Wrm7NNlLW0tgBKItr0pZQmANZc+ENKAXeBB2iYIYsJN7xdZvNg52FTIhoMQDfMBuzIC4i1Ew5YTuALja1ENiaKKCzBk+8iGMMwLUIcIoaQmDIwZjKmkM0oCuaJKEd7ChQ7Lm0IGxoV4bFT7NrINqEPwEDNLMiTpj7gCgoLBMOFN0YkgyAHUoHWQUHeQRAoCIoX2Qidp7H2/RT4XS/EUqVUxkKOMUFqTmTpXUQCIhp5oAcDniD+iKHhCEVLEQCoJXAgMSutOT3IQdAGZMBRSQQlFG++RjU+g/6EjEK3k8qGZ4/ICxBB00ZovUKvWD4hs1nYfo99mQW8IROs9xV/masaYCihBoAew+b1XKT0bFU/VzIHT4TxgWX1RkZBa5zpOopjRA91KUIubago6PjM0yMuGpft+77vf0KKSzvhC/qqaG1uRE0SkaNNiGgqGRNxGBZsGJuAUDTGUNJARk0BlsoUjILBnLGVswQ1d7A6e0gHYPQf009YQLAQQ+kK3EvPLN94iAxEPeO8BA+Q0LEhvg+tPf/DKs5+qe9XC8nt4FetUbz4/heQzqTtqJWMMOZoEKGA0pQga2pyghNwL4ffKINEOFzAs1yYbYG6iAR6XkUP1IlNzsUO6wJyk0CSES4Go12a9316ENzSU00B+8JQ3HEL2L9DbfYWVDqwhNy4lZGQvtmrYCaKhluNnYSCQIY45jDSaTnDbQ+tFyB07Sy6NBVFSKQUBBCCRCLJEEgKAsYoEARUYsgkRAEgpFiMEYLjHAejZPes+8dGG66E/auxtRpzGfj7509pUgUKiUcqLcb8HMnMUcgw38KC6vmpuwvAt33t2H8x8cX33sUfnpeLKhu/8sxUNWil57XOGczSN342qZsG1jS6Q0ld3ZnDPiQx0py4uPscWJIf8zPwrNRBVuUjazTwiqT8NxMFYVbAOkqgkAg8CLBaEa/ecvHifQJYSyHgEQOQWUIgjAowwJtxBm9+SXnAgNwXUsXRSlEElwy6xh3y8AcB8e/HgGEqY9A/rtY9zV4dUzQgxJFkPmo9T1UStrcYpC9Sj+IHHbFVBgQb5f5ioWzL5kus5cmOh65eRPZF47X4MvBU958pPrEEUHxx9RQXHPfSm8rZaQkTURm/eWrV5i7e1DITeSWdp5u8FJiVH56oPmcL6CshRkpvBBloPsMxiZaRQSJEYbGWAYwGCWN0WAJIJKwojaRYo4hZU65kku/iXA4+rgaNJKXRkIaymkK1FrQgEmVm6asbJZsWyF5lysu5MUW4YM05NkNoJAohEsoKjSi7BsamqtmUECxusCMFTUp3W7ZY0YUNrhBUTMgVDGkaRh9RGEPJH/UQFuK9Gs49terpowdxybQ1bniFouZsSP5kClwEhzQqAMkhIQ9AadmvtDnQ2OHNXSKtg0hGU04hNeoK7xIMlMieERkEnSdQ8sdzlRI2sGJeylCH1dinbTiFh+c7A7FMPP63qjJM2vYkzZCDNaCgnYLmX3iRcWExu0W5m3ezLBT2o0oe/ZZPdKfS5X1HjCnt4CwEnvWwdyHI7BHtKoNgwaenz1cA4su5OQKBYgMh0d0q6s0DlllGiaoXtoXKDQi0VyDYGHj8jylCdtVdP0Hw6h8SzdTVs1ILBCe5weu4NDxp16+whbQsQ6JqLIzrOXgXNGyuMX80KfGG/q7ldYQUIWyDdJDfrZqgtAxNVXT1uvJiReC2WWmIY2MTi/LmP/jpytFasm45lqp4ud59bvn0+U8oHkw6TxPOFB5lFPWEvL0QftpxZDvtWJYtKCSRIRWmAOaijekX1IB7RD9jCd5+vMDUAaj3QCDBZDSRbB3dVI7QYFyoqBIBPIXcln5zUGcR1wjAQ+VU+5hwO7I7I7pO7qLWml8kE/Pv8g6DefA0cwj87OIHoPAchoFgiqSIwzKIiupmFfQ6RhVuGEi1SFhDQRCSkhOvAIYUu3oColEVkFYkSqpaQjICJBZEVlSWg0iwkUJIKLFApJYyhRAsEBBKBYhZAgwCEUIxCDT0h2hBYoSLIppOtn20k7QSe0LbEicB8OdOhoqWh06ZMQsQOwGyDPX88w/TxUyXJqM9Y8y98s9T2X9DVtMTb4oYLPZm3tvtvjY0PR1vsOXnxo402M5MLYLEH5+TAzsxpTB3kBthdOpLnR2nViOw9WhMyzT+xsGG0/NXQ27yQx9bvlygL/WTDMGLAvgqG3LOT412m0G8DqDGJwJHvEGGdTIOodC3k7ojiSSqD0KUdiJ03KmGgwFhdJjvDsGvuxHOR2dPD1+wo7T4KlbYflaXVVtDG8swWzGuF+A+QN1waS0b6dKd2tJK33hzpM7zs5aKnCcdBavDplTg4lONrBifNTuKcXgIpM3LmGLJJsWRPFJPcu9FQ0Er7SHb4T1ZLJi31oWYKWIindXilWmdBRbLEYelFU8XWJsw5FyySPw98QW7mzAD5pU61G4aN3jVB+bGKwjdtmKNbqriYrJndgbnTYbyHTNGDubLbfFrGiYKAdXk4ndW+iVbVSOQisICQ+hnPc4JEaDhEMMw/iEA5MwGiMHohrRbqWt0mRczNgUECbfRVOx0F7vNiiJNITzo8ec1rBfAhtnVrNy91DFHapTTS8Y8tVnyDSbUImGMx/8w9zZJKWqcMEM47k8huNjXScnRXLFWosxTmjLhiizYcbOInEQe16aQlCp5IuPd51FFLjTyLNPUusS7RvRx1mgQKIJCJeCV6uR9490R4aBseUIET85ewpA8VrXwsC39rDZDHq/DmMw155u8ndPqgOvWoUa8FDoNm8iOvYUNXF0QsXimilLBjcb7JopMhYeExKUOBCioxjBVIb2xYRMARElA22KA1SWBxcahhcAWWgYmg8mbiBIu3fRcup2Tz7uXJLsc/UegqZMhuliQgKRD3dVFzz5goYODLbIP1tUR21KG0KjUFgxkYyaQuFKwRLboyEpiaPiiuIunELDIlbHTY8Jwd4u8PAo5CmRmJhRxELugxFcqKoKpAaq3FBpjaqF5KC4ReurliR4vRyPwg+jFdA7t9Cl+0PKgpAObA6IGsZEGPS+Py0T06mzpspdiwnY+3ziprU3jFczJoFzLBITrYkOhVRFYqx7K45IV6M/4tqYdBziZ9ugiO46YQOqDJtqqHvBfMUGIIWXA5kUg5UhxK70Pu4zGZ1zdqSq672hsaDzSBB3v4Bt0GxxoakU64Fjn+SjpONZU0YhSPzeVAj5Nk4YCPDkYbcbSXJqjs6w/LhcjBqRVEBYsRUERFRHcVjmBgfMJhkKRZUpaFQIISIJEAUhBE9FhRh6IQLJkBgyZ4LjKZ3hdk7ULJlLJtRzfIVm46SFFjFZrJTBaoiIZaloWEwtcGQiIS7sbAAWUiQzElE0GRANWcPEXOUaItS9dj42dqaR2J9Tjg2POTpBhucb0qDLyLMWG8SWvCbzVirqxO2dYMmS7AufTqQEp0TB40Uk450SOWBaPKHzATGrHsVk15mXfm6HAXR0JoH3WfNZuDGFlBdbWBpc1TBkQ5gzDhCAxAtmHVR3s2E0gywbee+GY0Cr6LQLZJvooIuxOdgJ8z3pGN36IZbIyg0bLWCoNMD1955+Hj0ccbzwa3smPrJxD06PEc6rN7wOPafGqFpXD/WrNYp8zT/SKCUze6DUnkt5wWtfaBZywMmZC7uKN+2WVhbBnCJPwp0GGtJott0OU+TL4RMbRmGczRkxoZsYDQ8INjW6LxieO3VQZGdA5NUeEsTDoY40nnjPHXGYwwjTzmR5NEYDFVclR1xjNnTEVFqKjcQZ0bRkEGtoNoDYcYY2elVLyy+FG8lGrAxIy4JMs4z4zDcVCwwh3kdMbZ9ilBIUtoNqSVt6xBljIizVQvLfraMTTxYsLjNaNKyCJIBuJCsJGc5zFOUu9OuzLdtJuUmNAwKb5xqyHBwWBKMENlODCcMrvuUDeGqlGpysOK5w7ZrRsbRkHWUOJsipMQUU/U4nzivO7jIh8zHE1NFEJ6UiKedOPzh8YfDauSSLehCqYCS5kmMOxxkHZmwPZ7rok2jZvCuRlxggp0bfqZxq84KJE3cWjGL4GlzIwSIxRGGpZtSGtSXAvCCjEJoSMpQzMETpKaMGoHQtDmRAOAYVwotrxw4ayu00OYLUzmXiiNdTFaNrFa1nM5WMbGZsSwopZhrMBQYAbhZqQiMW2As0RKRtDZuFRKJZYeYiMoSz0PKNIdGMEjkGuucOcmMou7q7d++bpGQ1CobAhsyDGIsGcs8kYxJqZkE1LZQwiCTYwmoQOSNUDivBB18fOYPYG4YoztszDGmxnZ1d2FjBVZQuQ3RwS8LKnpUTnGxxANiB+Dup08CkuQFkVzDSWLDjovZOAdLyI3Lkk4EgGbPUJRKeJTEyjlMM3c1ZLBEYJETQYWDAYsFkVmZiKGgoUhpltl1BCJkKUOwOtoeM7eDlxCuqlRVpSialMRgi5luAWnaaLQDQJj5h6lHKbf8FBIgxmAi0DmxMdHSPsdMpo4sMok0Ib9QkLrB+neyBA2WEd4IxETAi0p9R8GZq7y0YzPTaIaFl2HVJFtCuwo5EiEHeBgNXVy2DURS2RVxzcSQ5+Q5XBxENYxH6Iq0qVBBoh3RSkNCIBKyqlLAaD8KuNsdF0WkAzEDDGLSClzBQ3yxkSDo+S4uJr66MXqCGPUeTrCgwUCgcONmSBCAnYFYKocWGnPl53SyWnQsHVm6K7QHEwcAbQmlGDbMICmSoomOrcJSTRvgUQZoLCxdGmXKb00r1mo1eY57ffw7oWmTDkjRgvLNFH8OvO47LvF3wcgSp2SHaCE8gEh3AwOjFPX8EMmwaM8jySE7WSHABPGqqr1CHMHAGnolrSIwpy/bN+SzJtXz0dly2wN8qqKsOZClEYeYTAOsgWH2pKD4PKjFFFgYOsaDbjfBe2ucVw2mhluWYbQICGA25AHtg0jPvPxDGRm9JINsUkCARGIHpLMKU+8gXgibQIinJlQcRaDo4733fd2ePVTGEhWqz3nf5jDfAQ2KeFzWoVWHANLBV4Y2DdZvkyQxLtMtCgVBTMgJk0NNLbrJDzj1dvTo0D5Gt7LsSQaQaKmwSlX1B27QOoMhbnAGgQNkVzAg0G8Dl3JY2Gc3RSHP9hIQhkUZd9XJY6uKB2J5wTgJ0UvSIdHO5ztIrnMbwiJpGGmxRDAQWkgkGMREJtGiBq1jzJSa/PMEZAWAN/l0EBgSyGAPWPuuBsU1iugnOGYPXFCMD4EBYQY7kf156kTvAuOkIp/gdjuIyRpahS0iWgw64gMCbHhJ55Pf+Ow7/NUYepoFJn4q+D1YLD7lZGXsKlUXq3+e/gkBtfeUHaLVGmAXIHSDgofkWFskXogq0PZl4BZKGdULEiHQ3Tm5eXXbYVtKeagqixZI6zQCJA2o26qukI9RmdoZESGzXXGA7xg9YcXt+ud0rv3qmIRk/503KszAKKQWEBQSG1hGaQPLEMAgDCGI2pHznWcOvo+sSAjsSYfwUFPp7KbDuPve0LJ8pJ9QITyHmDXcHiFBEifWhyInbW34G5KygLBlChKCd/Q0SOT9nArvhqnIw8LBSPRI1TCO5IfD8le+4YSGxSMc4gHGEQOGkr8h7DGrNYJkmZV+AQGWeVH2F0yYZjSZjYUaHWfEHND1T0mZmHgZmBeom5j7DKEIrEoEzhggtidbqoeicZ+rwr6/N4TK8knZ+nLLLGU3g8EokXoTerwKS0d9YzoMcSLVMYv7SGLUR93xoznKeAazn7PBLUBHvZC+bYuh6KYyRAipAJJYIQqSFGeRkYokWEBQJ7IoICh2ndIZPQJOxQ8rg6IO9e0e0JN6pXc7Lrrqy6PzJitD51Ba/QJr1IWo2+T852iGydHQ0M8uY6Sb3t6VQwSsdXcNWPAJYkuPPczCR4wkjkqSJoYqMeAYhmbqVaVVwCg0JF4EDxsid7vmEE36xTkydENQZqBqMzXkIlg5gMiK6vDz0dfSeyz6YScyGouWe+tGShP9X5WbMH0+4LND3V+EdE2QMvvhwAcYJSO0Rt5D5kw6P3bh38D77D6T8fkb1F1x4vD/IpVsw4o/YQ/Dn5PDlRqw5laKl/5lf49v0viX/xdyRThQkD8jkcoA=')))
\ No newline at end of file
diff --git a/examples/02105/instructor/week2/unitgrade_data/Stones.pkl b/examples/02105/instructor/week2/unitgrade_data/Stones.pkl
index c5b976676213ffc358cb1b491ef670191bdd73a3..d146b8bda501f47111c0a710cabc912572167401 100644
Binary files a/examples/02105/instructor/week2/unitgrade_data/Stones.pkl and b/examples/02105/instructor/week2/unitgrade_data/Stones.pkl differ
diff --git a/examples/02105/students/week2/stones_tests.py b/examples/02105/students/week2/stones_tests.py
index 03bec8cce7940b29820adcf3a8fc12a9f86a5b0e..824d539f4de113cd602f1031781e44cf59a4c60f 100644
--- a/examples/02105/students/week2/stones_tests.py
+++ b/examples/02105/students/week2/stones_tests.py
@@ -6,10 +6,7 @@ from stones import maximum_stones
 # A fancy helper function to generate nicer-looking titles.
 def trlist(x):
     s = str(list(x))
-    if len(s) > 30:
-        s = s[:30] + "...]"
-    return s
-
+    return s[:30] + "...]" if len(s) > 30 else s
 
 class Stones(UTestCase):
     """ Test of the Stones function """
@@ -21,7 +18,6 @@ class Stones(UTestCase):
     def test_basecase(self):
         """ Test the stones-example given in the homework """
         N = maximum_stones(15, [2, 5, 3, 1, 8, 4, 5, 7])
-        print("How many stones could we pick up?", N)
         self.assertEqual(N, 5) # Test that we can collect 5 stones.
 
     def test_stones1(self):
diff --git a/examples/02105/students/week2/stones_tests_grade.py b/examples/02105/students/week2/stones_tests_grade.py
index 67664e6f10f5fe7815b719877c563dec245d3776..7829722ea0b8deaf92b9c57aa62674b7ea155d6b 100644
--- a/examples/02105/students/week2/stones_tests_grade.py
+++ b/examples/02105/students/week2/stones_tests_grade.py
@@ -1,4 +1,4 @@
 # stones_tests.py
 ''' WARNING: Modifying, decompiling or otherwise tampering with this script, it's data or the resulting .token file will be investigated as a cheating attempt. '''
 import bz2, base64
-exec(bz2.decompress(base64.b64decode('QlpoOTFBWSZTWeQYcrkAW/b/gH/2xFZ7/////+//vv////5gbL73rzz3X2vPvhqikF933vvfcumqAoV9DaMJCfe7hHloSqIOew6Yp67e9PBx69tOmuiKSQVJS9aUVRX2e5vd9fOB8+R3fcoy8BvtoB9Peu999S6++eR7b7t9N2a4uvR313R3Y0Z602p7tlPum+33Y1q3nDar1zo1Uvti+9x6z6319Dt40nT1vJ3z69AVoDT72C++nu977vny9t75vsfW4H1DYduvfO7vtTujiq9317x9j7vvt6kfQPO9t717g+713veL03nYHh0vty9jec5Jj6+76fL0+z3vdrZX232bbwfPuPtnjw3s2u65dQqLvfT3bWjt93rvl1syy9lm7Opx98Pqvb7ja0t8Q7s973zx3tY3sNLs67tt7g7ffPPrwlNEEABAgEaAJk0E0xMinkwTU9J6ntRDxTI9TQ2p6no0EpoEEJNBNAhqeiZSfpoU2FPUA9TQ0HpGg0AaABoAJBIhEJU/Rk9Kamajwp+qbTSBk0Yj1AGho0GjQGgAGgEmkkJNAIanoTU8RTTaehT1PUbSaDTR6QaaNNB6gNANANAIkiE0AmhkAgaARqeSYjKaan6keo2p+VP1TbUj9U9JoHlDIAEmpCE0E0yIyYKninimmNDSh41QA9TQGgAAAAB0IfiQA93skoERPhBVR9cUZBVSiT4FFiqip/98HrwuqhpP9/89YR/Klh9Trrsz9zDZ/v+GfgHhBwfh/te+dt5T8P+lMHj8YGdsWMUYzv/J0dWv8HcfNSvVyvHVraduzq4w/Us4wpKHTEK484My6m4ZLupxzuR4ecVECxKff+fJHV6gZcO6EtIn2RiePF2aVClFr2I1DnSNochk5S0nMrj9UH9D6iU4+n/S/JAl/nzfTae3KcRT+M50nJ3S0X4VfK3vsYJjy31MtQAzYQDADH8rK16DAEVFO9BA+ZiLIEikiSBCEUkiyKEA+4SUVFIIKv76TAIo2/nBKBEYkAVkQFMMIk3GNoMBrXurYr0VXBMR9dXbFczjabCdybSeikCpQVYJBVlkaKqCin3mFBiKgKpBUGRFVILaqJH/Tq/56Njvhx2asfu9RLruf9o/mWMYTacz6/zTBKdrQKGHVqN5CfF4WFyREB3MDxE9VWTft6xPKxkiKUkOyHSIuKiWJvJJVfUzHtqs9iaWHw5awGPM90XLJQKMH9bvqpXVnWU2cQkSRwUpP3vECQ9zpAuNYkWPuf/DcmTFNjrNfzLjawt4Z/RhH7L/6/nrPq2+OOOw48ce6TW44TDo2io36XxSK/ymzT/VnFKdLEb7X4ShMfGj4k/P4I7vidf0du9F4zF9padD2wfHXsg+aMPAfnzM6r8efZ+C/F7b5kRwuFIIyIdN+j+dBzU4zH+t8QJn+F2V1qkfK71Zw+XBvDkIk14SD1+gTRie+j38Pr85w4OCQyAhPDnz+1QI+5xEvU8SYaf3okOQzul7VOcptWVvSRCvTE0xX1y+HPhFpfqdUmj5/Hy5zSaGo/gpe2GeTP7PDsZoZePwt18fbUi/+mHmheYeHTtPi6VzJ1EZ8Jbd72rii01sRbm5rFIwrBiE3cPVDXf4QWi+3kVAsFY70xjfJfhTfqX4HL9/ye/JjtdnrsU6rtMJFHcnKNMn/+9hFmU7ZyNBLjwwrng8cbJTrHUvixnSlj2YtS4e/jnLhWX+ZNsOSfgT1y244ZGhd3S7KFhEXHj73g6v3Xq/Wjee/2y6+dv18tGZVfK1GfGrIXUUT7Y8ixv9k/R7S6R4mn+OlXpY99oLvozijt237+DCN4hjnTb4khvXUQtJGn4zEdkLweMGrJmTC5lOTTPVeTz85jhd/R+pbSUJ3fKuNpC9Ntu8psPzXKYo9UR9LyZQd10gU/WLc+gS/uCfsPR9/zHno2pTdCii1tJQEj4h5pCIJAnVw45qBuFtbNbxt80C0HGev2Zd+ZhaJVZ7JswC5O/e/zuAIeCYxMcnZeJvy3oGNvy4soSuW1wEbK0ZSaYpF3Oc2Q6bo31oj3HAOocN4OoaTMkQkajhUbvAlrg0SaF+SIIKQVREfqTg9ZV9nRN0ml9/R0VWhKyxpqUi46LWZMLwmXfjZJcA+qD9XQVxxRKIr4x2xyQN8Phfvm6EblDdDGvPnD5LuacM7NblgsrZsFrO4aQQ7tSb7Ae/KHx99xjpx1AZjGK+KC4bU4WIafhxfgza0yMmBO4IhyonZzTn/Epj5e1atLwucfsqEHy1dvSRyg3r/lIkJv6AtYL2MGwH1nSYFcVjq22xeV1tZKdgyCYE+JYN2oCRnMBuEvvSlqUmc8rb0/JtaDIxL8rFfEZ0Piug2qYYF4k+Imta8d1Pw3ujJmrbmPa+frpPyZlAjeHBW5AcRGGlxwOCDfj3frONTpyFx02yjg8SuZzsJZWwey3344UparTMTWQmLhy9f65t0jSQ60sMr58aTbh5u2gOO3ZnxFFGpddtzxRYt8OCPp7GWlimv0tU4boSwjO36ayTIljfDVOKc35vYYhLI6WvTfayDFygo/vWtgvVcW22YEDlSr8sIwlTXkxeqNr1Y4GaaU7hG5f6HKkEumJH+VxkhVlvKN8eWryDpjpI4bZzlbwe2HLMJefB2+1eku/75Sx33FUEdWza4XxoBtqU1enNsvp0/coIV3qHbyfQJxIuLRtTPBm3ksggxqxIgO4mxpAWz3OLibvMCyNSMbYwbL5EzyuLLGdoObjgma0tZgxieRSpS0uyyy1mV8vhvTq2OG5F9Ogs2FX4XBT6xSnwYRZgo0UweMnBDSFo73HykYIvQmtc41YOzwnwjw0fO2x6vmdDk6pA7Q5cyxOm58xtxiYKlFaXTaUcjHPlpB+HULqslbMcfyEyL9h9xwUqzgs0bjSmAkJCtyyd2L0PbRqC6yzLq6NmXFudVfwL516niwoSllriWF5ofHxtJDMhJBymrHinyPZLIvsZfm/VtIOM8e36r7S7rpVGfnnoad775XsW6K5lM+EmMEZPr28uXGGSEZH9cfkamaWlCLIZDywMzVJZTlmH0Muy68ObQVpO6VoTRV98/tzpXa64g0XtiQm6UrRpvjg+k5sXHAfe3wg5WZGuRh0arstiL/fImUz8Cn4JSKdWt3kkjM0Jo3mH0teUPs7dctBzQMxfAzMbMSrUTLKyRdrr9hvWVxFKn1vZR1wgr1+Es7q33kPVC7SAm30BI6lNUHNnpQO3Fh3O3HGsbUzMTNEwfs4Or9gOOU+fXXdA64SHq0cJ6jXh9u228eflx53Obc4dw8OcoLBKDdFHow6Cmx50VP2aPWpWHuHM5luxlB8+arE0Y1bGj+vjJR6/jxnTFw3u2o4kzMfbUBX5fycZTu/X4X0s6I0m2mHUV/LbokDWKSlULe9WPvVmv7iUT2LnNUekhn3+Dx7bMzW+ZvgaU0c97ysru+l8u0cyNBSMX8Mr87Jyrm2laM/0zTIoScUxr5YxudVxeV2iso0tMs+yC73dW/dckY2GYP1LLY5HAiTdbJmyjMtduu5xili+gq/1YPlfzOYipc27mIy9Kj86Pjm/09zWr+OEujzC+u1mTg7Yz8KOww3Kdj2T080WOTJ95OC7LIB3LapkXM1JI4hCB0zLgno1LwrlmdCxzim5LvQ9s2N21nuzartntjnl3vjHEvKbY74s0s5ne/aVziioVKSnDDuO7tEjVT0sewjW/twleOzMmkcwxPt63advh7T2aIKPmbnNJWpnMZKSHSFJgggJTjXhPiRyJ71x7OTjUlBgO+36HYOsbMbNkrzhzpaFF9TwIhlJfo5idFEMfAH+gj/WsJpuMHr4HckKtMvUFFFiPv0KMRg2wqKaE0wwQWKNNRt1e7jobNernYM8gydXe+0MJPCg1CAnxMR137XSsZtsTIkagqq5p2F0qFAyhwtlmdzkyEIWdl8NtbIFiOiq5D6ymxWtctUM3jmhyTrnS6zDbSe0vbpifNZM3TM5oHZncbzQVfo45s40QFd1BFt5kBZouCLvh28NqHYos9qSZqs4ofJ3s1sbf6TrVO9/DwP0oINDi66nPhMbOjsLr0xwdF4rduw2M7GEnZHC15ahvD26NtwNsyurmjWFSVVLZ0lOaSe+xtdMye+FCLuqGz4XhuF2dxXKRJg4I+Qx9RXQvocuHBscUhJyaMbwSpPI89cMXyzW1kWp51eDPcGYxmjOMweN0+C9m3p6ekMuCLaJ56Lk7FWjBmyx430uqnQcFRWERnq9mVL7BzEz7QxnjkHNWCKi0gSbwwpcqX7P6mNxXhw36yNE4056nT2bmzG3olZQ1oURu7sXJxdnVXunfIprlM1f6bbq92XPHDHsOmQ1bLSDLDOUqaX3lTQK74TabIYQW7QuF0h3UoniTf4K/ogfDfEeS63aaYuCDXaWJVFE1HLCHUowE42kRbeFoi+w9blL3oCuD6PRxOlHCnboHxbjc+P0RsUb9VanemUa8o0XLew6cix9Aul300/HFYdhA5RxiSNs8tN+G/SueL5n1qMBPlbVl/fGdDOCDeWTVcTIaXDlZiUelNeEqkkMOG8FYRvu03jAYbo3c783furevTvpoutE9O8vrTtxFBXvrQmiwxYsLDhmH9nYbEOivWiQO9bh0g0NzB70ZCmJd/J8GS4RfoefAtYj2ReuY1tuTwa+M+XjeLzr6abLUU50YbtNN1zZM8smll5iORzxfjDK+78k6PLrvnHIyt4g61Z9Y42+cqyWPYfmo3ze9BcdIhBaWlUqfbpLkd1oZNxcv9L72Oyw9kedQdWlnLe5F1YVbsZlcb7K9WcvbphRSMnfsU1/+dpQ/CE0LYz2YyczbxmV2eZ2Svu72dp0tMG+FkynE5FgTEICAqzl7ivrxFAWsi46ZfFTI9UFTtKD09xkxflNgN+qf4lPg7+IN9f2SK+fGvDs767cd4iiLF7T3ZjwEo2lFmz5xO8E+KGBPfRRlNJND6qPPuE9WfDdp0l5rc6k7S+2AlP5P3BZ6TrMBxxkxRN3+AcfJuWjFaDYtPXbOYUpQKiLMkxLGHM2vHCKVeufP0v4y/HSFF73qOLvEKvORXsXM9RV1inkXan2D22Ux/xdVne303d0e2eKw011lOW+77rBHeqzumo/JPes5q6dnketOF/yW8vNfE7a5VNywmUmcL7dnttstVmfsrrdblS+nCjzvxpgyFgs6ZwW+dkfGDg43pI7fUjoOQ44ZuqPhHyFXtHX6fSZcX3TXyndPvAMtiRAdPyz8b7fv3x19noyvJqnyZYz7K7qPj2qOOa2vOnPDunjnzffGqZpu+D2dbXX8VAlDjhDwjXkkJkyF2iaBJ0ZdY92fGpsErIjIVqHA1AMiClR5UjbKwPs/ismtfgMlzg4NELbMIrFRmc+y1Pzkr2df3ck8NXzbeOe3l7n0eL1+vTnvt7nwwRkrV1fx/RsZd2OLZOjoQDtms0EQ5A4CvoL/LgUVWbOxlY3coYjE05okpoHSVuiYJ2n9KfUhWB9l4+vLpdpSKLsoGaxja2yvbWaixv+nV4aWuJLCO5GIbqxVio7P0crmhS3lSu46G2nG8lKIn6xEJH67wTdw8G5KdGL0P9lZjaiKGe7/Vvtcs0ZvHdwm+bqTDgeUnC29WFXbrh5+BMZFKXGyLTT6A898G+FH92JKHzgeBR956v1NQgmOx9pQdjy+3w9n94Hhh6hT9vrlQZjZAPMztCZiKEKtr9iNXIG7M/Hf3mw5/N7NiIqqqsQOLIGuumwp25ZKichlDIsVVWQ24sA4Q442xDO3vcwNCz7CopBQ+KMleapWY22W2VbYxCrGSVWSsqxAKgoV/+tMMzICh1cj5uZmNgcrDqMjDmGZCpfj+kODUA0ybPcybAyGySIrFIjJNCHZbHUppN+4bpCqxzmXZOhpGmp49lUU19y+n3rPHe5vUuf8a76TuqfPkqOIyTfpOaZGpqEkI2FnvMgm0NrJ0zuGuZLEPTkT4+y0fouPUc0dWc+MepUzFbflQt1cFFvjCvyeTBdzP7ZcxnMMlGclXMV29aj61umWWS7yNveSeX0Vo+yjY/VeJGXeiGg/Nh+zqtJ9KxFkZmWY4iYE2Q1EkU+8Wos472RZg+YRLcCDy4waMj4arHd7opQcxicXIN6p5mwZh7mZvlia1lShZwznTF5naViUsOHoYlZUhgXY25HcLEO8yG4d3bcunyZvQ9Z8fhcEmaaB0aNN2Q8XBAQYhk5Dm8bXQi2k01A0b9vAUNjskTllEvZMu2f4Gso6dIur+Jf3RZrzezH71dLzbPAWx4nj7zuaOciyckGCf4RHIcMhfZ5Oy+ZkrLgeGW4VGIYxTB4uf3dhcHAh6ConEPJl6tyWb075Y+LfEnIkYEeB8DPtbjgy7s/bUNKJ9YhS5wr4o//Lv+v9EjtMl4IsgTnk03uzoZZPYQnLYmTlF8mem9F4wWmL8qzTY9yb8TumnFSIfOIlBP46c+vkTtUK/hMeC14Y0W01wqKByNXHOC66IHyXQseFQIg+BBXwF9Om16XTSOm0+j8ByWR2Q+sGvydfutma0rLPKhRS/anKuWVeN0/CTktKxe7815vU5V8fJd5adPJSBaLvh+Un0SlJW81oqKseahImTTrwekxShQvuf12ysv+2MHtN47pOmF85OivcPy5PzXZHkhUyj93VyfqZ49edfVo2sfi53D0ZY9pD+xSZi3Dh7vxuCnc51pui4w9iMu3W8yx15vDpWIdMFEfOLJZutuIeaVxPzLzLkYTwH7fhzYcrLJl0l12bNUpuiHleSLS/Wcw/Z4Prf5dPfviHRC4l+fFQaU9kZMxAV9VP1zT93pfkWtzCQqeeJXHi7+3t4+OdNlceJ9UniHRjBJG6SYhJx2cIJeuWmdIqzp3HMbIO8mRKNp99j1DZhBscOJDb6uQEFsVTRN2MbuNpnhMVC8u8JUj5aS+3En2p/c68vGNc8XLcF53PCKf4PR0/Ebt5w89fZPxofq36HvwmbRtXzQoYiHZJDuinJmcSNHmh5EM7kRyZmuku+ty5NL37i5wsPURioUO0fFVZXprtqW8EP9XJet8syCDse8jnqkb/i991u/ZJ4+Hv6l1lVXDvm3/4Rg92bXwl0vrfOJSVXOcyJvJ3jLh6++K2hOtklYs130fUeytjjlvOeiopKfvchaXUafc5rzty/h2fUpHyU79YPfy3mvkvZcOkZ1NvTpjWVZcE9jqUcO64g6rLIjJ7qYzhK+U3iH1l3qDJ7qO6VsNYu9Twsu2rO9clLyPPl6fCNMc+6wnHbx9hgrKxzLlTFZqZh/nEz2qV5Pxxg7cx902ezTsDir7vfFdK7K6n2nnm1uHjL3cQN2mvGT6lCv1fzwod0QJ/XhHkftwrGCpwWFJ9Np9LHmnVE/+HZeRm+gjmcPGuN3d/UiIxE1NUQnbyxMUe36cScX8scdnvO4rVT3Il/p05lAqx7d/CyeEWlEO6QkEcfR9EFD182477UvyCWrsxBLY+gkzHxL2WVYdBaIJDWIo3hKTd22Am9k0GCzMQiMDs3Y8r9PkrFEvREiArxn0093awXMNykI/twGvRIToC7rdMyZvfx5TOENevrz53JFrfX0T8eR8ixgghzOXXMyiSY9N/NrFcJs5LnzLMOfyPhV/jP1m/nRU/jMqduvFY/zfaXG63VzidXc3xIuT3YbsdFD04+HBW2y61bZ8cNOj0NxuPuRFemAJn0wXP0hX5thffsdivozj9Ws+FP0xgumTmNlSyvE+Glkq4yUQyvJMTUp/Hqa0pyd0ItcdOssXJFzy8urFkhu0ljF3US2iSkDjsKfHuywxxqIeyDqwz8sjC6cByT+L++LML8cMbCnkSsOViczzp4e7B6AjeX5wOx2qzoJ7dQ9beiZPI01RXs66kl11DHnPFaUb5nqw0nQWctwwJ56VKl6yuclpBDXKUQ5H/w7uLGbIJZA6ZMNwcZhacR4/DPmvo7ql9g/OObYSLCWEzvsnT4Z2Yp7tKHe1cLS6rj8OZjKd13l7FTWVvZZbfnPw6fSOgrb46vfeO3ci8w7L6TN+OGuKx5s3ZO7quvyyIsLLSRRyeBZtJpIJD8Iz8r8bWDPrLVnkgOT3Z0SJ/qLaW9fej5cSaR44cNoaEbbtzs4E3spw17qNgbcIbnr7GPYgD+GRAmPik5gOIGvsZP13TpxDzEWEjrOJg/bqLvHpsY8+n2nUZaQPd7uNhpH02N5lSGhGuDr9iv4vSmJ6JHHE78dTP2EX927xnKFTuvAp26HkglR/Vg4n8KdN7257VviSXwf09aTve8Cysnw3v7q7mz2nyk8WbaIdjE+Y5vyyqEh/S3t9QkO583wDE9Z04ZhqI3EDboaGFANV24NogrJ5kCmk/J43UunB+qdfWnl22GjCdXBd81dafOaMIzrE418s/hWdtzxddueOevLE51w9JdUE/G0RRVWBRg0R2E6NQylvkNP6nqYGJZhGM2HD0ZzFyEpWyuMcsJXPlxxGwxgbM6S2gmJMSGHFsQ422EW2luRGMSOiG3RrCFPk9C4OAC+kdB+oIFFgNCnBLr8Qzesci5jqisiPRqKxx1FBbFNdyyWMrlz8/H0bjRsF/IKdYHqdxR3bsy5MgolUJEOA90R8xnMz7kwbtdE2DIIXwfdi4ydXcOCyOYZbTMv1mti0nU9ELhugZnunUkmARwV6Dc8LnwvLRDZrF3FO4ZUsg9zJR2lw7jeFaBlMs6UEUPI2GwO7LIjOMo5TeG2SQxA6duSgjY3HGCYRYe7pyjpcyoC5y2FGxboUlIT+g5y/OHamVzFllwc2eyjukvGuXsnVUZJgVQp8znYcx9WQgsc6+Ki1EpOdnTCDBC3qwzSCk39wW2cL+++8jF7PoMvngxqeuUCQhYLhviJrPVi4ZFDt7ezAIcyjECePmYPx+55phPn0JlM0DrkEUeXDUoCZApCMRDIRt1ue/I4d4Hk1OB26BTI+QYwDuO3UBQDg/FqXFAgOLjQD3djWSPfl8AtsLAg8Q2aA/GFvELj525L+B9UmOb9KH7F4U+wecFRxwz+pL23QysuUIEWG76c0084fbQlEHTnbSeWh0CxBiCKMFFEDZj8O6GdawxkHBMRdNtUyaZond3J2zo4pD9sd/IUDo/WHo9iZvwpkmGqKeA0B5+vY8g+34LPD0WPN2jedKTnKD1PSx+yqrWJ5FClriE/4MffcomkJXuXt0lwNRnP3qqwRIqHlaoxWNy4ojGIn6kP1DDlEOJqcrJDUNSNlhu2sPJ2SNjkVkkylcOQJDJpMwX4mxacAt/rjLwZ8uj+6RW13Je1fgdwixw6lEIce6NDC226FMK9PDztsyTN6AjtftuHsN627++d7PBURU8UpQViiqJ3GKLRggqI+ptVgz2icAt093ZvGChzoJcefe3gJ8m8G42A2Zyyd9ORtOGq/A7gpcEjQ7lvziF4pzr8A77zqvbHfvUL4XlZRbQntSXjvOlx+bZ7m1V75OHeY3JwPjGuYxlWs1mHw2kaxU5xeMy4sY1JpTM6LzegtkhsgndlNSIrWcQ4oiFE6zhkrm4EkgyWyyKFOB8aytyTjeVO90QXNQbUw+7t4ySiMu0LEGa3RDGTFureipTGo0icCEiqaLmQDSd1paxjGSaVPqcSOQidXOXbCoqnqU8azVunRavNlc+z1ZeYbQ2IaZHPKjvlw3Z8JQWRjFiAujSIOi9rDWKRGFbYwbPGoytIIkvQjjyd5A8BMwXc1xrkdQEhIfTUJjfcem0aTOLBBVVXv2UeF6UFOCENUYZ1NvBux203misuGD2+1Ks8XGu9Pm4K5xNy+HlOsb+HM4epvEJ7it1OTeFD3U+ecIxtxCEZ41M+CI1JCzlPxqlOMW1JIF8WIrmoWYjNYzeFWohZda9wdsmTi6iczkfG7VVsudsFM2XjyZasMwOjHOt1Vvy7TwrLLZFuVXbL3hNz4ZN54a0kkt/7v7oSxwIBAacvOAA0TC6xyYri9PfTwzG6GMax5tLGfZ4zqcsyYEGF8ncXS0moajc9ZCsghSnTG/ILKrtYxwu6ZiO/HWDRdLwNP74PUWNB+3JE2sG/gUNQc90GME2WoYJIjpuEP7Y8cTEy4IE09wfNjnsWewzgRfwCw4GbbaGQPt+PQKYakxXPM55HkttJjFaUYkNuGUs+4Or7l95JHvf9Effult9D2o/l9b+63BUknq/t39K9jf2nReHvsvfDNx4vq2AHch8zK2e+Qr/VIPxH6vP5T6nbt8dzH558la2ecN/ovxikIbpE4N5TJOSVUfDfe9T/wH/oNH6R9REyEj6DPkidsXsi7WTq4bCxXlU708M9OV+zQrZoWtPJkl2zFVEV9nWmdLrE05B41gGIHoSHPCqPJUvZ07skXMN85+dTwhTHd8actodMkjXphQftRfU0OE8i95maSiVa1PLvjlupnXzzbh2m17piRTQnVu6Snr78SXrH2zqaq+HuyfGO8j0Yxj7VP9O/r/uav2/nvK7VMTtMTzMK5eOhz1+n+0v4wQl0nhuc3lPJ8Q/T97FCKEfvWI1kWSVX6SykP4y5elG4F6FkVGRGoLeEiJTBYQWDjQAUhCoKGMDGREbQgowSVHbHMCgKtAfAc9w+L421gmz+uladVTNO2DkdHqM0XXWNITFDLU7q+W1WX6VvmawZsM2HT8yvNFinRcI8yIkcI8yjGJqUibkSeWrBc09QRX6I8S84MWsPjBcKpQ+DKIeZj03M6xcKE8Ybns56rjGnjhuRMccYvEGGKx0Fev8JrlYWcsDI7unjvYJsRqq9S6sCbbXbLWzakT77dbJ32rfwybML3QzmdhFiUZfluMG652GlhbW+CS1LztiiU+HykWTFN2MXLjzO7KfPpUxnbBoQ+15GmRPktB8Q2XcZnbTMCm8LeV8neAUH2sWj8ziRjCDkUgSN6382tmVWImt/vu+vGDX4/7QJ9HLL+yBAfe/mfJ/T+0+/pVi0cHLxTJOkhSPg5sZM6I/wgMHwLmV834VU0TmEiS1e9Q6gWal7EcRtpt8v7B/os6E+Xj7ydtqqoEkknmMdomzpCz52goaG9hif4o/ge/rcPsSXD/a+oeH245gdmhA7QaKRKwE0IEVuHx6mxSQKB757jwMClKfU6Dk2Rd/476eH788j9wTBwUCR2M7phWFkIOsOsx7hIadUyTJjwMhw2ANMROf+f3B6HgtP21NTMpZd3vAPKeJcMMUCip6TkaxLGZRR5l0PV4SHUGAk8JFgLBEBgAbeug8OdzdfuvxYPoPN/Z0Hcc7ffS3ITfkFjzBwbYIOUJMawVOvp0FRzyb+jY1idOQIvWTIRk59y5SWoMR8mZ2ti5TE9Ht8obefcbs3wgfNDkBC4dTE5vXe0eh2e1IE/l9DNGBmeQkY1oGF+y/J9bf7GQkkiqoGe8c6xHCGx2z5g4gG8YmupOqygiFbGERmNEw+wrzNGhVHwKJCMJ6vMVTB9LlqqqzNgvXCewwyTppTj1hgYNce4iPV3EMWH02lD3Wt0/tHZxc2RC/LQ1sUQ3k2oAzj3b5L/bGFXL/XfB8mwzMn7UcWblAq5k2FHViJuar+K21B2cWzIIF6K7AgbcSMj4EPT16YQkkmUj9VkigxJZ/bmMyX/AexnopPlJ/3nQ8ytX6Ou6XPrqvzpJO47ybNeZGQghWWWRHVOCZgCM8SSlbCd58JRHv6SM5+o1j5Lm/7U/Xf1szdMOJx8vZpBLS8lcz9Lg6zBxP+lof0OF/Ap59dZ9PTmGWerrLO84Kd5qnRfV3wD7oMBF8lojBA8iHCdHi+HxqwPxfiISHo+o1pethvpxSEO8fr8/jDYTCgyA0PxT6x6qV6RfG/A+lppyh5mc8H3yYqQrBP1/K5qh2v7HKlJIQkM0oAdF+Djskhqpgjue9WLoh6KS7PXhOh9aKyqCtfD1Xd5qbF5S9047uWSrO/wyYuvGDeojxjqHsXBDxlUnRK/dBUHXjafmaSQcotD0/jd5l/xrPZOTzqqkjp7kzEUXaW8D3V7pglLGvGJM4e+tXOnVSErJy5kjy0b9HFDXe+XFMxe76vvdutr05VcdU6HVENnZ5vWxOyyp0uwOCVM+Ee+XjO5b7teGGdbehJvrmIdUsejk+37IwXULCOxD8jj0aiMK37vHZFUdcqQ1y95XF8YeR1bLRENhBHVNCa3cE3Tuldz7Z7dsexEiYzmp8X/BvxHRtzbl33t84jdUzvSrNXrx1VYOLu8GR8Ebl79LuXX8bxNZtnBDvmpHt5fK1KUuVMdQ6p8JIz39xFAuh9wkOsU5+nPJcijcHSU6UGt4jre8ErDjj8uRHwqWxH5bb0odJJIfXfNlRRZ3W9ZSwr07Zrz/0U6ty8JERSPsavZbNrSY+Rh0M4Zsjl/kw6nSaUj6Wsk+pLeaivhxqzlUp8GFLq06CVrplswYfqZXvUOxw50s6SusmC+i0dW827X4k8j17VEEk3v9IDhAJEiKdJ22gxHwj2G8GZ3eVE9axReZthgxRd2UeylIIxZs1F2HHFHryyXnrPFvNqI7NDvSVBU6ezOWqvVn48tMBfdW3SlY74VOgoph1G/2QUBRFPYRhTmHE6F6pyWEJI21UOVyfG6MFn0JNg6z2rWPKqmO6vS8k9f2ZdHHEVytaXTx5VzZuEjLiU54lSzZPge/ivhbGEShbiP0evMHGOs5q0Fr3nbEE3+2OZcSl9QJeaHmtTO8KD7a4gY5LbnxNeTnoIVW5JvuTW3vbo8ofzLbfeBudndFlyldWfp7Mhu69jQ0hrLGtFNmVD6L6eevO3n5TJPOmZm+tHwVfSm69mqhLy7TVFRcUvKI/bRBfzfCWX9vqei9NkTpOWET4Z3NWAHZX+r1Y9u/FTrWVkizas+0e22l7W1aRI6+p2PV/z8Y8Yeqqp2xEsbv24LfhPQruu/iXXhjDHngz4z/JxWB+PNVve60cUDtKiD1hoEQObI1NJtOHCzg6Tbr7vuq3IRIv5OezI4aUit7+dFnX0/XdwvrW7n051pr6+lhM3TUQ8tpXrpQtYOs8D4RxkkzUe03lJyIKXMKMoAWn8vjSWiifzmVhp0xkDvmkflvy3LnMA+NCmNS9dmzZEgiNrtWXG1rt4RvBwieIKaWc8P1QqH180wCzFkiAS9DCLWU9E0GtNYnrPYQYFwcAcLAfwb8QUGG7LGCo2xI/TaE0GV14o8GjbQaTS2Rbta1URRodCAQPqrEVtfuk0hxBDmqKasEkUkJsHMPMH9I7daecwHyl7w7S6xUFQNWE3h9gFpLIsl58DhQMhjzjXBvKy0SXIBxvaCGkfkP3VbcZaM6rXxLoZuEu4EIbQ+WoTWPxd5HmHI1x0jrDX21RwPekOxOnRc2CbMCQ0sKaZY3jwHJwV2EIEV3rsdnT1EmIUUyEIzENWsOosDIUFB8dQlTWa0cA03Kop3iGWWUmwp9NkOnYUEMjUwsAUK0PbmeFiB3B5CoZBWrVY6k97DUAQyCGEEK4YgOowNwwHEiLxB+kgBSOhYHtEgZrkml159QSiOlRnKnEIbQZN18tAqM+1l4NDXzZIfHA15E0ppJQkTInWjNaCmczAO0MiJYFIzUlD2hfhjOSCw7twh2/EuMtec0C6LGCCKCjqc5ERE9gHiBSTcDtDpbjc29SUHEjx2nGGN8T8QoMAubaNNlpIkdpelHsgWbpXsKXAhGEIFeMYS8le/j14pphokJ2Km/eUWnJKNsEPLsxtGAYh3SGk7VPuhCArCCAc4SzdFYeX8lKNZPlk9vrt7dT1nEQfytG2ryFgWKRYggoLAN+9VAOmQhkk0LBEBkTnMdJyQr2GYIMEVuhS4SKqwKEBAYy0rC/j2DadgKogKqiw+oqE07FLglKSG20kCyTjcNsk3BfBqroE0r8g/ZDz/uZhINEQe0gDGdaRlWwopQMguew6e9eVDnlUj336/V6ixFmImRWZ4lGshIa0lmy4FzrOoOpIAN04ApDgnGpO4psMeKZibX8Ci5ECiBIyCyRGMSEKUKFA44JOyVYkYxnqNDYpN6OwwFfrIEJIoeudjziZ5BCxA0Oz8efAjrzeaBpJAdPEjleE0i6kp5CEsy3O8F1L1JsUvAXYQ9CeDtCF9IF4wDa77HwEQTvOkPA/qVAQPFlYkyYqxg9JDEAndrn9qW6lhd5g3Kn5hBTekQiCwJVQomuYhMGe4EDuggSliYSz0ryBffZ6tENgRg9QVELMkolLAYUiA5ASXm87ABjAURAFAEBAggGfmRf5nXqDcSzFX6YwsH2fm41C9Eom6NBCQA8A2Ngm0agh30XPYYuFpMFETYn2k+0g+UN9wvor8UhJDI/eawgMBkfIXNzOBmXias7HoL1c1NNDAHYTwRZIApD/ZtUp0BqM5Jr0yUlWKwjqwXXFeBZEK0IYmR3guNAekMwLdP3dZREr6Auenb1DqqLfcH+cIu5Q+aKeNpBqonMiWLGXUavP5id2VU43H2lM+smNAmb8R0zzs6UZ3J6MBUMGBK9Mj8YEv/Xqf84dYfv+oVjGlBuDtD54i+mkw3GiNkzq/iMtO+/aRp7SeiMdDZRBoUk/NgXd4/PRf6IFQidDtbdb3pSD+xJnEcC4BT1bSjm65/LjgprH5DZDTNNDSSSCbLWLDIMAMT01kGHiHarfYHy/6+W36XBNSieJxMIENIqApzsmYoPYOhN8vy/gaRnO4qDBRYsN+aoKw14ZaA/cQP+SviLD1J9wU7MPfDZNNBtLBzfVA7xr3S2UD/yyouVZKCJAVHSBiQxkH0kjQRgM45CzmYajNBrJkDhhtsYHdz0ol2cvlhJCgb+T5Z9xgc/fsxT2kDkesPJMSe/EWTKwoPUy2kmOTHWv7VXEwTEhISAN+gZAfTwO92MDXmHNRbhqAQGT8zrgV894eqrGwFd55w1KAyJI6qCkikCADGwrR/fHbzgf3Qcxrr8TysjTKjkAMPmjtYsOTeJKGEhBwO1RDbOqInz+sLnHZ81ljYxC9EbyXaRaG8mvcjZdJ31iJAwoK0FiiB2PxcBnSXHB/WZAlEBxH32KIQIYYwrhLkDFEOKlLvD/EMrQPRR/299ZoyQ1EKQ1lZxNKAanxC8ZJftInw0SKIsIgKwQ+ApIeIKHGaGGjxCHkeYIhmVQPPebGcU6y2xQHgmI14HoWqN1YFNLvoMUkkChMuGOSBEmoy6hmmG6UNOEG8gXe6iSA2lM06DGGMJmR0Blqj0/ytJQGm1kmnQZDPQ8LvbCPDiYmm7QqxoWg0rGOY9Yo29355jkgYWjtw6i650R3+iNZhQeFGWvlikguYo6mcD5/tNFBj+8H2w+f51Pnoh/OaScB1gcqQaWBY851lEsg5MJkGdSp2IGwBtNyTBkKCStL8yWXj3nlj8PRbtDyYPrZIFkqioySV5UMQZ9wZgd/XCHdYe1KozMpZkQqAwlZgIjUMjgCWQSpMckwEKRMBvPiJQxh62/JW5wJC7JOn6W1kS1oqjcuKOY5MajLa2tzCrlKjbI1Up9F39c/QQ5bco6ig3NjBfLsPORagk8Ru24aOczj0PzkjdvmZ9uT/tVVC2GE3iCC5doXPkO7oEjpbMvccJTQDnYHzDXnFuPIQ8OUG+/zFD7SAds1BJ1C2rvocwbhmfaEDw/F/LgaU1dtcZYO8KokAgWIyIQ49VjIh4Aq9fkVoTKjpO0RTnXSFgWhGUUTnhye4sECP4BHzoNDjGpBMzNISQQaEaLamPx8/QfH3x4z74/Vunj/osZSqxv33Nk2gEqJiGt2IdVfuCa/VGtY1o73uS8Hckwz5nDcGcbNk8H44csxiJTYRCN5diTL0kgQjpn0Z9280sMnKkZReM1aCwd02ceKguLGwwLIIETK318awrfF4yz5baNLnQ/XLmU245OeS7OWTWp3yDmG1OQdDWDqkEmMalv4kf2Mb8p5nEP2gjux5JV113MOKQ0eGn48DVmTWMSGEQJJYRdtGIo4533NPejuievMcY4bXlmfA6RwY0kQY5x4adtBk8YFI4wbqcdbyKioOJfJtEtDq7OWREkYcmuINrkOHakB3TWG2zp4bEc9PqixEPmteOrdkSUPYvFaOoJDlCC+NrMDsO3ETbFkJGs66XzIgEBkxVtyVPCg97q8jRmz3nIzVvTs+GZ+woWmz+9OjN8Q7LL00B4QiiTy4tmuUiEI9Qo8MpH2HhOrwzjvFktM3jw6Kq0Ipt3FmYILwPAWTBZJQmw70SyCSAml4F3nreMzztoLcKY4eRp0USOmqI1dNxjPyWTVvjUEEoc8UzPAPtMt8YqsEVoHHRCgdO6enqJSaYJWSkrhcRjO+ec2mVHE7rjne9VShEDvlEYMogi61OMXBcfDctlUgRp2EIT9nfiVrfaNOD0ZV4ckelENlQNSfFVoItwUFMbxCwCyi7FuIlExUDy4rIZpio7ztq8CTn5RZi/O7zz3q6k8+5onte0aVsDcjTsdMiQQosvCdXJ38OnqhiqCwI822WNkFTN4hbNgEchzVJkwGYK5MB2yGg/5sn0DJ6QnQTJDKbPc+CHaTtRrRlHvWZ3vuqkmTkl2X0eDwuXls3RujFkc2nJM6fywZUWmwLT8CpEupWTjxnC9RzjjPUO9uO4ImH6h+WKIUJ0aRjDs2hCa2vc5nRhm+DHI4bDu2BaoEI6RtdM/KOYJnfM0ixUPKEfFuMI74vMPmghakdiMJeFSs3Tu5N5iczSvmoy8uuJuM0KqKLV5RrVHoidS7pJv5Zy2FjASAjIslw4zKGkKDcFwMobkYRKNjkOABcYrCQQ3BQR3mhck2HIcAigsRQ4MQKBEEDpTQRB++oXNRiNkyCGgWxQa3PcFgwtEeuFEi1QuMU0Yf3k3OoTB/04lBYwDIt8CbpxAi7TmdYE4k3JD8bA/xxgxRIIigxLNtv8+wZYgipCWlgNuobowzqk2CDjL2TSJxdljl23aL+q6gWsWzg6CIJh2QhCZzrCoHmqCguCETfm4kaGsNl8/owazueuVgXgakDR0E3bBN+IrzVHaZMwzNxExY1SwmdhSbpxK1BkynE42LM2CQ+GPyWJDrxvd4KqX+Bo0PTrNWw6xD/aEHNCVkiflEfgaUdS/pOJnB0h0kRLdjuekuWbrxihIOu+CHIe1QKT4NeZmjHWzPVeoKCYNKJKCJJKMKiJYBUAL4R5nxH65vAOEn17B+iVK6KMMh9If2anYoeVCGw6On6UoKOmbzRAwv0oAaF7uFS7BxEXQc4X4QmL3ptV0ZBSF7w6PGIRzw0u4ZBgTzoLASIKyAhWG1VwHWPoDFciJl5Cd2o+vxw6ce5xBv18h3JLSpVKdarhECJVYgTDl4dRCgc2Fn5phEHOkZ5XHNmvOgDBxtoDgwEMQVmCsXjkrDxLHRwECZuhmb3Mb9oJqEmlmcADImaUfwyNuJdU7yHLcEhB3DYs/L7KmK8kEKisXmb+RQLo0Q2yf4jCQ3yEPFl4tDEofv6+nvwq9ky35OsTdmc1KHtQWSTqMCLEOO5+wDP5CQoV2cLWts+APmypM7JjYywkjVuHKxT6LhyC3+t4U7xqfjFq0O5oF0cESODaNpI3lTjj5nG7xFKQWtttwHEbWUrLUJuL7bxe3Kg97fkZkCZNqRhxEDVIYRQFIiKAGZKhLAe9FRE2jAqRiowAiwWSKwSKnl9VWIm1UDRsBshYLtDVw84EYSIxVw0P4HBohPH+NgshAinBlOJKWYQG1iEQojW8Uo8kLLzYWeFlPiSQgsF3AXcOVP+7wuIbwAOaKxwC5YD59h0wYQ9MeHlpxeELifnHeBd4EDE/GekP2hWzX3P4f24aR9xqmQ5h7hQVhe+xKUlS+iBPbCRk2MhQnYj/9IiH6Dj4HHG3n9J7APecohmAFrjURllEsEYrSlYVsEKyDQJmWHUY3SAGhRgiVKMAKohKIFLKAolsKCxhIwYiqMiMttbJYf6YJaDGIomCRyyjDEsYUeGPoMWstgRWVX6g2fgNTgGkaOjQSQKMJJqsgYRU3EABLRUhFU0mBitlAO6u2VY834fe/tRgUGIJmzE08xZ3z90OBHw+mmRO2RDSlHQH7nwNYvIeyBCSMAivUv6A0lfVptPdmfq+h9nbDERwIcIGdgff5PgWHcXu5nj8Scgd49ZjwkpcD2pHomnoSgVTAhNoli2LAxWZsML2FwCxgESIxnQ04LqOklERg/slNE8/lM4/tGxirEVkSLcTMmQbLcbUMdCOrNHmdVShUr54fP93RZ5xuah9/2zbNsr+nxNWDcaQw0dWok7gPY7asi9BqJIY6+lYw+57rGlGMDOZ1gjrPaOxwTSXA/uTbnB5SdwS4Kp42hwGs4FF0fBkD7XyHwn1zsJ8MUTKX4mplpJ2CBRTCwpAnsbpJYjEBIqnFET52HyGgcgoLbChwVUIOJMS6MdthAKL3NfQ9BZh3yQOMcBcgiMYqNbCekbZjZOeJidaIMHhayMQsBVCBYYej05GDiTmbDXHVNZZdyGQ8RgWMB022WEKaBnU9/Paz3iHJCiVAQQSdFuAVCE3mC+w3IIJCLJBEEvUIbesumxnjztLJpVrE9ow1oMmFSBawpJYwi+aDUFJCMxpyNRekcVGkDCKLwWwxHfQJZt8tUxx8XQouWUgJgiynz9AfhZP0kDEdiUnTIMigGmVFFKxtEC1iAxCChUKICJERaCyE84IAUyRUc8zHMf7sEkYRCQ+s1gYAYDNWYRcajFbWKojJAgbULxCtnsO4chy55wmalzQPdAv19lZM9fLu8bnM4tfnlQdaamSEFFBjGIyLEb1mvKaQEJDWmkIYg/skZBgq1jB3cEgYh15phkXPXE/JNhStaeczAT1ho+n2dAFB/PAP2kvSQWQcKNsog+w5zuPtG+j5Cv2gaIkSIHcdHE5+yZ6pEDMkwSOJ78TZhNI8+vEY+ZuDGnzrezbweDt/Jp8Q/yGcGWWVyvTf1jCleEahPk4teDUSSfH48TLSRWcVM/od0leGzI03MNBeKYnKmDdgRwbdm+ctbhI971c4hG9zpl96G9A8FHLCsUWFHZ4ejVZpNkgt3106dqwmJMcSkxJ2CnqPCg3nBfkNh+f2xwwGl7VzfXfSGoT4BrIId4HwjiAkIg+MA/3kEVwhqCCO/yA5zIMRtAkV4ek6w34KEP1X3fTgoDDv957oXk+BiKpR4pcblyt1VbDCjHKlbClstpWUX4bKZYoKKFt2IHuNTmmSQ+/C9zCAoH10CCigpCe5h54JpntPkmMIKTlKKbNYMEDHu8TvO4HsEBxaoMV7iiG0wCYnHOGspemDRrVMxNERaFXSHzmGnR12PE49tHPZoPL6iIXFxKZ7tq/Xi7n1T/azyoWGtsDyT831axjfDqFoKezjqRFDSX5j2MSN8mgqTNxLXu9PAHpNn8k4YjF5MDolQbR1oQND9Qa84sGDopISKQhytlLSW2QLafOXM0MI/vKoC8IZhVXu8iCURN53qYHSyZ1tSuRno0XeE7WBEEisFiJEVVRIRZGIRUEgDIMEjIDBAkTlr5EVPwT/8QaHqffYdBbrSGCAdiAe/UQCkDsBDYIHPGLGAwkX3UhRIgkkWQYkjJCDOwPcne9gvgEpcUOZO0hUnt9QeoQKnHugVCY4pwaEEbghMQMIPRG98LlgjgRDgznRpNFL/AT3enQbwP2SqomWYhzgp9hEPWQd2vbzby6dqiHBDv3HkNul2gukKMqCkzM1GffNQlw7z2wz0EIQA+n48d1HtkSLyBdx6QwNfPx9uu5dMC5RYgSSLkZXmBWBvDFsp5Q1hZVfJY+ySKmgKAxAtFUMC5+k3sKDx11FkSEI+8Q5HBSDxCcml2PQP0n0SMzSW3PThDZA/kZiLGjv5+R7M1hH2QrI9J/VjtclFjtsckuqieSOcy6s5XjQnuswQ1EolE3QKxk9pBUGuMi+pMoLlMkUnG52b0vY4ajRL0pnCxBUd6yGDPU5iFXBUbeDG2RsevzOeb0bGfQ4onTwvlsnUGCXnTr1onWJZoQcI1Ti7XUOMPM4n8bUbV8dgGYGiUexBBB2eTRsTzjEXzA4dMdjx/p6lYQCMCQIxUEjBCAgwOzsMv/O2/z+X52X+qGL2tOM3AT0nkJGeJT39r1NNm2FSKj3PW78Fk0GYechsVBLaJVZaVak0bX3tbYEXjKhqil9w2ThN1MLtlCKLBHQkq6KltYiiSjCKVUsSKNsK1ZulB4CgyalNxFiXWSKlEoVpYNSpacuNzfajJgizcAQKSIE3gSYQfsHECMjAKI9HpyuKHWgDzLrQBCbmCDUYh0wTgwEYdCcASW4hORN5gmCgVU4HzOggw4NGOC6hOY8SjwntLBAslBZJX6Hd9AZTcCw2dYGa57LSKgoLOt9rl9tzsITybHkJYOkedyRFkU8AYaR1QR7wObVqAo0s8P1uis90L5sCiYVX1EBJptwXkfWGkWBRvA7esoHFXoQ1WNw+Z+3uuOAeVMzE8NycVQ4lAcP83R8Jv169OZchZakb0hIa6nG4US+GsSMQIikACI6+xQIsDTlSLcQrFUoRyV3DpsZ8evsNpV4PijuJOSHaTOztAd6mlGO67hBg3r0djLusfXhXPq1saTtBOdq8sSthoYmYXqMikUtmIcnOpR0hDpzCFRGkr1eQ7M+hd+MwLGNL6wYTaK4GLUGb6qoEgVOxd/2KkBuiGn8TEMUC4HbF2BVgMqXz+05yxznKgnmofjMCHMnO8CLInh6Q13CL3CWIlpaiFEbIrGQRKIKDSCgVWEUiMSQWo2jBSmoIEEz5lpR3Mv4aw1AKJVA9ZUYBFIORnBxgZGs9FWwoS5zexOkvypwtjktbLFclJ0PT4W0MvEzDn50zRLLlhRDSaygvC5I952Fnmh4VRgXrq5PNZHyNlHni8TkQHeZBHAWDZEP64opIC0OBjg2BbKc5dtGbju2eMNnqnCPVSUZWqzalfA5VhJDckCyr1zu2aN/8RAVCx0GdBpw4WUvwpvnxZx464KwYMG/U4wKElDkDKQWLA3GYj1pwGKtGWHyshXwtI4NBr+tkLzwKmH55pK8QkBrldh8a0agBIlxrEs1oqbSw0roYzAkBpaYNW0IEIIaVoWKKkGG2YYiqaSjVujWtjWcjWBm2ajwDNwNGkOQfkbKTJE4wgA07kQClKmhOd7WbgYA2NqjSKMAxURisExCUYJc05qKIlmsgQnTDpcvI8wbOzdwmZxRPhkeRcLEYhxGmdkwtgQwgowprdCjWZECbO6T8TsiSwaXOHmKoJHlC5kEHRqbDZBGomMUqaojRAvHVEAvBFKrgV4l8EkBVHkLYdAYKkEQGLAREQCEGwSaUW2a7vEruTyNAzEihg5CAulFJ+rkY3MJwipJJGEh2WKHxXottR3KYFvGpwDzzDVDsEKs9ItwTtLhbPADEkWQDGFOkoEoxpG7FLsblxuxCEKjG6NKYwwRROBBYyhsQqkoaUEM06OSkTEBSQRf8qVBSKCgLIpFBBCQSMFCHBQIIMDsCbQs0MAYrAVFRYAiM4TAHmELXIgJtVmoCECyEiySBrJpUARvkePooIywqahOKQx+vYFf9yI7yiKhrLa1CX2Um7q29uBwIR8F36yRVk1sGMBgVrO3lUj7E7/Cj2jYe9LFtoWoUEknYMEZABHzod6HVjqxLF/owFZqywCZItmknmqVTJx2tDzCdx1cnuYcbFPSU1IlQJFcSw2tKEKIqUn54KFlbAQgMFGICICQBYERgsBGEWBaIyUNDQViCCNJQpYVoJZMiHn1owu+rjFG0KiIxEBiIMhtTTVXi5pzgKoT0gDgixmMLgTDh4E3XwN/RNlnsYbeu4l5U/AgIzRS9DrfbOPpGhwKCCUxCYbd+plxfdW/CWdmSMFngh5OCgw26Ck9KA/cRixGR1w0nQmtjc57+aeBOV+ohfiOih82X7TypnW1Sh2/G82mMPJJaIkFgPqeiDII3OXxeopWmJISMogUpAuhnSr9IZoZKJ0GpTpHIUf6vzFfZ9Zu7BjACKB0SCRFREYgxITaffLnEvDAeKF+LXliTeSFy9BYKl1gwPfpgsK/siIeVbhBkUgxcXWVaC1QUjAqDVFCSUERCBUnmPEpNBEmwQRxBN0F/grk687KWtm2AEoi2vSllCYAai58IZoBd3kHYRCyaC7+gnadBuHSwqZENBiAcJgN25AXCZnTE2pNjtANEzKJ1Q5UoZEi/SMDGGYFqEOEUNITBkYMzVmJUM0oCu1JKI9miDYeurlCDk2T6XMX8/NKdnWTuFEsSS5vh7gDAYDIEKDE3mapFAOyQDtIKDuIIgUBEUL64MNp6p7Pyo9EvJ4lKlVMZCjjFBak80PGTmgMIHR1IBxOtgT72QPFEZIWGAFJCuIhGF9EO/44CTkBwOwUsEQlKc86zXB9v8xFjErSvZAweXWEjAgOdGSL1Cr1g+Qbtp6D7/ntFJLojDtPxlW/K1YaYCihBoAes9/ptKTy0Kp+7gQOXi+SFpPaxYpJXScjqKY0QPdSlCLk2oK5vaYVFjZMi30/V8PXkUUljuhC33VMjSzgRMkpGjLQhkKQUI0MmCDIS2gEgNMZQ0kBGTQGh0QlxgYg0YjMVCzXewOXaQDsHif6qe0ELAJA+sK4Dd/DnPnEQGIhxO4BA9pQgQxcwvFHm/CzwZeVtHviZ8l4/ikhRPn6ViR54caYVe8TaYglEQb3tAc8jlYtHpNVq6L2sb4UGlCbpyR5wesgEeTzKH70Sm56JA77BDmOhBRhcDpJr0Pv+PEtOxXDLB/AJQ3LEL2L9DfhYWVDqwhNz5FZGQvtmrYCaMg28DnpJAuEE47hG6u1NGJ+6EmAHDQ2MpuKoqRSCgIIQSIRZIgkBQFjFAgCKjFkEiIAkFIsRgjBc6R7+Sd2H0Hfpy96ffzBxRrtGfT788nvFkCiolO6mZ2zcfMU7iJ2dtDUk9tmomkM+trPSffPn21vvYo/ha8WVDe/9NG3uLVg251uZproxjm+NRl0GonDDMTZHt6a4a+RhXjZzxLOyhxhJ8qnd7OrTVuUjazTwiqT8NxMFYUcgepTgkAmO4mYLQjX/M4cOB9AlhLIdAMA0BTQMCEQoiWBwySONe1rNCA3BdKxdFKUQSXDHqGHdLwBwD492HeGCVMPQP4Wse5q8OxzgJGCyKfNR7Z5qLurrbPCPnMH5AoqYqoMCDfL/UKhbMvmS3qlRPivRooR9jJc5jvja5TvnYP7iBCQJyX0lBcct1KbitdpCRNJGbtxatPlLt7UMg6RbHE7u0JBu0z9NofM6X2F2CmxXNEGWg+4zGJlpFBgkRhsZYBjAYJY3RYAkgkrCiNsixRxCyp1TJJd/EuBx8WBo0ihMKhGWGMI4xtcFAt294o8JC4dGQpm7lW5lukZKaLjq0w0hiCDBMigNscIN6DRixZDbChhItDNCvIpi7yGEZp06ylHB8DCM10KITPsEYQ8Uf6CAtxXjqOHbXq5UYHcc2wNO14BaLmboM+2AVJgFOpKQIqiiesNm7b3B1oPBaXCS6EkqHQNORytx/MPM1aQqhZpkhRuJxU8yZfGD1FmBXlSIIPse+k7acIWH5HYHYpg9Preq22Lzd0i7YG6q3kow0HsNu0U1NME8B5ScvltUFPxI0UHpqVJ4FHXorsOSUezIKQg+SqSZwNh0kJxKoNAXN/b67kA6mZknWCgYIDIc3dKurNA5FFBwZkCeUCWBGMxi8Q6CB8X15tumfBJqX23n3l6jR0ucrTUgsEJ7/B6rg0PGm6/0IVVBUQ1S8WMe058S5purkyfalTyTo7O+SbQSQEtkHBU28qNELoUNMnRyqfXtmPn1TRpolLSjYvx5j/66crRWrJuS1qqSHKW6D39D4aHmA8WHI8h5woPKop6wmnVEn3bNsgfWy7OY0FWCMksQJxIKN6RfUgHtEPxYTvPwyA0gGk90AgwWQzItg7uqgdgMC5UVAkAniLtSz8jS5RHVCMBD3qn3MN53YnZHbJ3dRa0zfFBPs3eIcTcfA0dAj8o5IcTpJZLhIkJJCRGGZREV1Mwr7zpGFW4YSLVEpEuDAWhR14AhgpdvQFRKIqpJGDCsjAZICJBZEVlSWg0iwkUJIKLFApJYyhRAsEBBKBYhZASICMgMYCSzxDtCCxQkWRTM1x+iC7Qg+wKqmDDIPjvbsYRkgdu1VYYMJgEhSH1vpGp9PStkxGRz9B754tz8P2P/Qy7pxO/MM4K/S5fXGuK0YPPZLgY90Or1g0OOYuF0FqD83NgZ2Y0pi7yA8+t1gn3W7VhiPoPv8SjLNP7mwYbT81dDVgdj5O+HOAL/rEwzBiwL4KhoZEeM9p5QbwOoMYngU8RDiV1oKw5lvJ3RHEklUHmUg9CZ22RlMCg+H4tHosQdfl8Xw5Io5Zr9xR2nuqVth+VpdU2oK4jdFlOXq1/gPtHduHSeLe3iXWnjMnV1Yd0TPMdfLRU4TjmLV4dMqMGGcxTsJkflc8CnF3EUmblzDFkk2LI5dNzeSaNVUx+0sXszx2Ymjc66HzTT4t07q8Uq0zoKtIWIw9KKp4usTZhyLlkkfr9Ygt3NmAHzSp1qNw0bvGqD78YrCN22Yo1uquJismd2BudNhvIdnMODzGlripVYTgoA1+fA+pr6pNazIxENVASDxLLMy8kItC9EMJE9IUIZlDovB8bO6EsSPM2Q4PAIDB3/gqpumwvedWKFJdCc0c+Ze9heshi229rH7uEJCp0OSqXjHlqs+QaTahEwxmP/uHubNGl6NqHBkpaT0HQcjjedbursxVsWaqpylKZISbIpy4icRB7700hKFTyRcemPPebNvu6Oc5cb3XyndPPUbBBBDEJlwa82w+k+hhNWIaDsCBE+wvYUgeRa1brAt/aw1ww9X39BkGrLJ3E7p9UB1alCjVgUOg17iIu/gQUwS5ZTG2YSEQxyue1YQVREeExKUOBCioxjBVIb2xYRMAYxigGtEAUiKC1gozSWgKlATTQeLNpAkXZuos2p6Xwz2NUS/2HkKcDANDYSEBSIfp+Wi55cwUMHBltkH5NUR21KG0KjUFgxkYyaQuFKwRLJhUKFZh8ieVmKVj1Ct5CKQmnKTNZmpodlooWGrp2VlMxBqvKq1Rq4FZq44VpZamloaBk9F0YLO+e93T5kfRhXSO3dQpftDmgoZxDTAL2iwIzTXH3UQ5XcJeVKXWsJ1vt84qalNwxXIxaCTgwFH0SMh3qqIrFWPherYhfZt+VxS7kOLzH05CI7DlCBzgyaZqhxC3AUIwIFiyHQikHGkOBXkQ+7hMMjrm3SlV13tDW0HlkCLufvDZoNbhoakU64Fjp81HI4VlUowlQnjV2wndNDbALcdxCa21V3GzBwp4vVQ30QNSKogLFiKgiIqI7iscwMD5RMMhSLKlLQqBBCMCDACQRIQ40lETiiFLZCJFX1t1qF9QTTPJhErCJag7uojDY8ZCixis1kpgtUREMtS0LCYWuDIRGQzMHAAFlRIbRJSbjIgGbNvQWm+NCLSVuqPnqcEujgn4M8zBzJzgw3ON6VBl5FmLDeJLXhN5qxV1UThNwMlpeIXPr1gEKmjg8qKg8s6FmWCSj8KfMA3zY9asmfAw64tQ3C1HSmQfUvwsZhe8jQXW1gaXJUwMSHQGQb4QGIFsg6qO9msmYMsGzpvgzDQKvotAtim6igg606WAnzPekY3fohjrjKDRrtYKg0yD1dx46eHLaeZo1HoSjwJVh5ujUcxnZS6o49E+NULSuH+Ss1inzNP9cUEpm9kGpPJbzgta+4CzlgZMyF4OKN4b3lhbBnCJP106DDWk0Wbocp8mXwiK1DlOdzDkVguRwHQ9INGZYmqj65dmgZGdA5NUd5YmHQxxpPPGeOuM3hDOpnOEw4ZoNJZarF4WHUIMVfI0cCC8O6LBBmUGoB3DmCtPhmibcnbHEVHMA1bDKYcqCnHNXfVfCGSYRo7KdhSgkKW0GmSUu+YQW45CJMqCS3f9GHGmsXHDutpC6sgiSAZCQphIzZNgs5U3DwismsZsgq4BQhu8ZEjg4IglGCGynBhOGV33KBvDVSjU5WHFYwqiZKKZMw6yhxNkVJiCin6nE+cV53cZEPmY4mpoohPSkVJ504/OHxb4bVySRb0IVTASXMkxh2OMg7M2B7PZdEm0bN4VyJ9+CmoztPHF4S6wgkzrwcMy9zdWhoYmMURhwYbUhrUlwLwgoxCaEjKQLaMZ2UMKOMDsSB0JgHANEdht3h1nKgmHdpscyWpnUvFEb6mK0cLFa1nOcvjjsJLjENpFTO5oIGgFgVRsaE0roKoNEQuhc7r0YzE+Jlt5Y3z4kxmkOjGCRyDGKlVRNIS15+u9tpmTMYB2MghyZBjEWDOWdsYxJqZkE1LZQwYEHAsN0sUXOaBRNQQO3j6jXWgOAmLTzqJv5zdo6/DXYwKrGFyG2OBLwsqelROkbHAA1oH3u2nPeUlyAsiuQZliw4cb2h3B4zvhNGiScCQDNnpEolPEpiZRymGbuaslgiMEiJoMLBgMWCyKzMxFDQUKQ0y2y6ghEyFKHWHU0PGdnBy4hXVSoq0pRNSmIwRu2SgSHkdG2AqNHwB5mjwa7fp6WDDjmhFoHNiY6OkfN0ymjiwyiTQhv0CQusHz8+ZgwnKCeYEYiJgRaU9r4MzV3loxM89ohokdRPOrJiX0lO+DASdoGA17Odg1GQtkVcmcwqdfSc5g5EDaRhPgqtKlQQaId0UpDQIASsapSy6D7swV172IS3QSKIR4rA32QbPVnjhge/PJ8nE19dGL1BDHsPHsCgwUCgceVmSBCAnYFYKocWGnTHtzciTsPM1pJhvKA8JweAHdDVyhbTCApkqKJjq3CUk0b4FEGaCww1CWOizVlknoOfP2nhn0+rvMd497KbGnGij9/XlcTbcN8MgR65DsBCdoAnUEQ5r1Oj0pgZBjHrmyIPGKmoCHKRVV5iHAG4GXlLLSIwpw/Ma4LGDSvrp4ZLbA3yqoqw6CFKIw8gmAdRAqH4pKD2ehGKKLAudQ0Gm621fNXCK3bQxNDrUcwgFkDTRYDryM4aOJ3CaBei5Y0sUkCARGIHpLMKU/qIF4ImwCIpzY0HAWg48Nz7vu7PJ1UxhIVps953+Uwb7AmxTwua1Cqw4BpYKvDGwbrN8mJFZNKyBAIwbLUDKsHDG5MqR7pNW3lo0D4mp7LkSQaQadYllX1B27AOoMRbm8GgQNcVyAg0G4Dn2pY1mU2xSHT9pIQhiUY99XJY6uAh2J5wTeJxpeQhx6XKdpFcphuCImYwzsUQwCC0kERjERCbRogatY9BKTX5pgjICwBv79BAYEshgB6x91wNYOoV0E6QyB64oRgfAgLCDHaj+GWlE7wLjmEU/IdbuIyRpahS0iWgw6ogMCbHhJ4yev5LB3d9Rh6WgUmPdXs9NywfRWBltBUqi9W/+bt6QG19xQdotUZwC5A5A4FD5lhii8YKuA9mPgFkoZ1QsSIcS6dHPz6rayeJF6oEhSoa7nIIQw8UK+yYhjXsODtcSJDXqrhAdwwesOD2/XO6V37lTCEZP+NNyrMwCikFhAUEhtYRmkDviFwQBhC8bKR8TqNvV0/eJAR0JLvxoKnl6alg6j6fiFh94v2BAes7gyzDcSBCDD5IciJ2Vt+FuSsoCwZQoSgnm5miSZT48SvBNXpieNgqE8yyqiM4QT3/RXz3DEIbFIxziAcY8rkiA1nhmPaZVZrBMkzKvyhAY5Y0faXTFhkNJkNhRodZ8QckPVNpkZB4GRgL1E2sfYYwhFYlImUMCC2nW6aHjOE/f4V9fl8JjeSTs/rxxxwxm4HelEi8Q3K7yktHdWGVBhwItUxi/kQwtRH3fGjKc54BqOns8EtQEe9kL5Ni6HopjJECKkAklghCpIUZ2sjFEiwgKBPsRQQFDuO+QyegSdih53B0QeC949oSb2Su6WXXXVl0femK0PnUFr8wm1AUsbfJ+B2iGydHQ0Mueh4xbnl2jYUZGnk2GRPgGRMUr62bpbNabZ4tNl4NKwmggyG8VWNpdggaEi7yB5LIne7pgIm7UKc2LohpDJQNJkasREsHQBiRXT4eejr5Hss+mEnQhpLlp3VkyUJ/u/Kw0YP4PgFjI+FfojkmiBh9YbQKEL3O8h9HoPnicYfx5yq8T8s3H9Z/k9D7i+k83j/MxybODFH8C0/ur6r8mLHDUaqZf1cb+eHq3X+4u5IpwoSHIMOVyA=')))
\ No newline at end of file
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oXIR2Aj60ExHucco1jNYfH4wc8RHlszxt3EmvkcEdDHCAlP5Pyiz1naZD3s6MUTR/eG3q0KoYrQbFp71s6BSlAqIyLDXZlPJOooRSr1z5+Z/CX5KQove9Rwd4hV5SOyzkekq6xTyLtT7B7bKY/4Oqzvb6bu6PZPFYaa6ynLbZ9lgjuVZ3TUflntWc1vz/Vv6a1nnXv/JxE447YPMyUXR6b15PrWdLPb78eO9dr4vfR5344VTIWCzpnBb5mR7wcHG2kO3cjEMAvvZsZnSO8U+I6+W+UnF55T75XTe7AMtxIgOf5p+S+36L46dfmyvJqnwyxn112Ue/dUcc1tedOWHbPHPk+2NUzTd8Ly9U6dXg4LlKGXE8voUYshdomgSc8use7PlXYJWRGQrUOBqAZEFKjypG2Vge38dk1r98yXODg0QtswisVLZF2TujwQ6yxfehoW0uMd9fSufF6/Vpx3a+x8MEZK1c/4/k6Tn5uXKc6TxlhU8T4kLuixsFe4qoIqs06MrG7FDEYmnNElNA6St0TBOZ+hPsQpgfC6+uVhcyiKT84UGM4RZolu7NbWaX8u3GpNuLcunHWVEN1YqxUcLyauWJDerGsisTbNM1aUl9oiJHkzoXdw8G5KdGL0P9KzG1EUxpRif46MS8vERQ9yni82OazLdmgrg9KyliQlcNtFfvoxkaRY4i1r6g8dbHZCn920lHxA90p+4ez55uYbFT7TIpPk9vj9n9gHjs9ZMe72XyFOMArBvsjmQkCFXv+lGsEDjqfJj5jcdX2/g3IiqqqxA7kIdOnPmlerfdUTzDKMixVVZDbiwDVDXXNoX4uhuwwLPhVFIKHxRkp3qlZjbSo2yrbGIVYySqyVlWkANAkDXxNkJJQJBx1Pm8CROg1dHEsxNQWslQr3feGZdAvFxOEXARTEFRWKRGSaEO22OpTSb9w3SFZpvKzI9hVRhU+XCpRDH251d+PlnLzhy/hxvilMQ+pdyHFS3fynLDVZdqW0qhl9CUiwWauyNwxq3HQsJulp3Kj2E1hp4No9eTWLV3MbflQt1cFFvjCvyeTBdzP9SXMZzDJRnJDLKJlYw1tjMLjjczbSWbb6POrB3UZF2TRul4UQ0H58Pu6rSfOsRZGZlmOImBNkNRJFP6i1FC/SyLMH2BEtwIPLjBoyPhqsd3uilBzGHxEuJVB6lgiTymbyhk1TAzkOYRmkN6m5WJSw4ehiVlSGBdjbkeAWId5kNw7u25dPkzeh6z4/G4JM00Do0absh4uCAgxDJxjaxTyISdxpToCS++AcKOzMjMOIfs2XbP5GoTMXSKTp1lPPFC3Z6FfRPFbNZeFGNTXqNC0wyLJyQYJ/siOQ4ZC/H5Oy+wyVlwO+W4VEsIRTsV1r7uQliYM6SUPRnQibSW484b1o626yVgkVEZnQs5NfeWO7PlbDSRLjEKTl6vij/3d31fpkdhku9FkCc8Wm12dDLJ7CE5bEycovkzzbevGC0xflWabHwTftO6acVIh84iUE/kpz6cidqhX8Zjutd8aLaa4VFA5GrjnBddED5LoWO9QIg6EE+gu21rd9JtIdNa9p7ByTIyQ9tS38vT5rZmtK55TKUd/2pyrllXjZPvk5LSsXu/JeHocq+Piu8dOfipAtF3Q/GT6JSkreS0VFWPChImTTrvekxShQvvf02ysv+2MHtNo7ZOmF8idEg/Nk/JdceKFplH68aSPkzxxwt7rS5V8WF0PMsY5EPwUiyKOF70prSCna50Tc1wh7EZdmt5ljryeHSsQ6YKI+Qslm63cA8JXE/BeC4mE8B+z38mHKyyZc5dLNzVKbIh5Xki0pxlZH0OHjfi5PPmSNEW9vj1KGyvoRqayBi1x3vwznFF61bdKEhTeV8lfq78stdbLWsV+p3SNwYlakkbJKiJMdMIX6d8+nM0ppsZy1h4TBLnXjw6vQNzCDcb+JDbauQEFsVTRN2MbuFpnhMVCljvCVI+vSX5cSflT/B15eMa54uW4LzueEU/xejp+I3bzh56/HPyofq36HvvM2javmhQxEOySHdFOTM4kaPNDyIZ3IjkzNdJeEa3TlSvbdxhYeYjFQodo+SqyvTPbUt3Q/z5L1vlmQQdj2I56pG/7vtdbv3SePf26l0TPDvin/ljZ8M2vjLpfR8rEpLDnrJFPx9VyTXf3ft4jGwrGZWVpfO38R84y45r1rwVE0pepyFasYte6Vk9qOU6WQ3es7uMHVg2y71wuHSO+Dy+3w6xOJ9E+XUx6fVsg9s5mVPaN9S6XF08Q/jPzUGT3Ud0rYLF3Twsu3VneuCl4nnx8/fGmWfbYTjLXgVKyscy5UxWamYf7ImV2qV5PxxfbmPtmz3adgcVfb7RXSuyup9Tzza3Dxl7uIG7TXjJ81Cv3v54UO6IE/pwjxP2YVjBU3rCk+e6fOx5p1RP/x67yM30EYSq8a43d380RGImpmkQnbyxMUev1Yk4v68cdnvO4rVToRJ+21yxAp15XdKEr0USiHdISCL+zsgoenk3DbdS/IJauzEEtx85IG9nqsqw6C0QTGsQkLEJScfJYE5MmwwWaiERgd3HPox0enW9F9Nrlgz58dXD5u5DUj0XIfq2DrhclQDV2VFi+3HlM4Q16+mfO5Itb6/FPy5HyLGCCHM5dc0WkmPPfyaxXCbOS5cizDl+B8Kv7j9ht5UVP4zKnZrwWP8n3S4XW6ucDq7W9iLk92GzHNQ9OGnfvV10+iut90NOjzGwvjzoifCoEpcKlJdoT9twU1yMifZZX5W2ZzfFjBdWTmNlSyvE9+lkq4yUQyvJMTUp+7U1pTi7oRa46dZYuSLnl49WLJDcyWMXdRLdElIHHYU+HblhjjUQ9kHVhn45GF04Din8j+2LML8cMbCniSsONiczzpnzqbwRvL84HY7VZ0E9uoetvRMnkaaor3ddST8cBjynitKN8Xqw0nQWcdgwJ56VKl6yuclpBDUklEOR/M0cVbKEEmQOmTDXl9kK1xGvSzZdnbUvsH9Y9W5kyTzR881f7vfPSffhZ82xzo3hx/T1Opre/P7OtV3Tu67bsNJ9/P6B0FbfJue+8du1F5hrfSZtww1xWPJm+Vb9t8duxGTOiS3K5M+UtKCR/SO/2P7tMHfrLVZgQGBzstJCfuKNJuPUjvvkWo1q4XIaEXN2Z2byb2U369tGwN2+G5a+pj1IA/hkQJj2ScwHEDP9TJfTJjhQPGJmQk2BxJt9d5JuPCCm13qOZW4Dnz42GkfVY3mVIaEa4Ov31fyelMT0SOOJ346mfAinnupWyxCm7rMm7YjyIJKPsgvl7Jum6mwyhKru8Yemc2Ui+KjShD+OL9mvKHnPUPiiiYcuMT4nJ+OVQkP529foEh3Pj7wxPSc9+YaiNhA2yGhhQDVdt7aIKyeZAppPxeNlLnvfqnX0p5dlhaVTq4LvmrrT5zRhGdYnGvrz1+e9cN1zisc8c9eWJw/b1GFQT5GiKKqwKMmyO4ni3hpL+My/J3oGpNaKibhw7GuVnILhimNRuUlc+bHEbDGBszqLaCYkxIYcWxDjdQpyi5VSXgppKMpYjcoseW9zMwC3IOg/kCBRYDQpxS6/ENL1jmXMtcVkR5tZVKXjhFGMJEMQVkSP+fl8MyzEZvvB2wA87ZjnXx1ME0CiVQkQ5j3xHtNZqfUmTjv2TcMgglM+qchM2/rFMhCqFLypLgXQQzb1mxIMIGp8U60kyCOSvKcXng92JcQ3b4vEp4jKloPeyUeQwHecgrYNJprSgih6Dcbg79MhjwaOLtDWqmEOTXlIEJY2HBIYhIn3eNssyW4Enloc0lKB0Ogb+M82nzY9kXtiyy4OTPZR3SXkrl6p1VGSYFUKfFzrOQ+rIQWOdOCi1EpOdfPCDBC2qwzSCk3+YLbN9/dfeRi9DsLHsvK2yxwQJCFUpDdYmocWKQyJjtyyYBDL1ZpYnL7RHo+B3ihPXsLtVUGuIIwde9UoCZApCMRDIRu6Oe3I39wHi1N52aBTI/AMYB2nZqAoBwfg1LigQHBxoB7utrJHty94W2FgQeQNzQH5At4BcN8m4r+B9MuT86H3L4+Kv2D0gdNWl3zsSjRFYZqoQJmRZt9essMKUCjjDiGu3XrPRt4oJq0oiKMFUQN2ns4w2rWGeGoPKTTXZxqprSuzNid3cnknRIfsjt5igWfUPe9iZvxJkmGqKeI0B5emx4h9vrs7/NY83aNp0uqmD7nvL/LCxiK7Fl6cQn/o9fo2opIS4c93LfCvA8wzq3pFIiwXztVBuUwRRV+ej9Qw5RDianGyQ1DUjcsNm1h5OyRuOJWSTKVw5AkMmkzBfibi03hb/tjLyM+XN/mkVtdyXrX1u4RY4dSiEOPdGhhbbdCmFefi8zbmSZvKEdi+mQe+clvzeaeZ8AVFHz1KGKIqI95m4WAkvIoeAreIyCNevniJhINnCXDl3N3ifJu9uFgNmccnfTibpw1X3naFLgkxodqu2iFqnMfYD+G5z3fZ8bubc8GiIa8R3mvgv0aPg2Zrg2beY3O+IxFOoUTcPsHfM6qdS6zjMlJ84VLEZCWSA0kyd2UTLCxl84lFwVqavOQURJKEJZLbA7xOMfF840/EGcLLxrGzWOFZVmHhZjcqJmpKprI1AYetVWk0JNm4uB5lMaikYo1T28JXiQDSm4RiKnIqrLzipiUJTRnL4WsF2908XVp3vEjq5miNde/1ZegcBthBqz0tz1zQdnHZLDIgsQUU5UqYQ1ZbDIZCJIm2yXsRQpXflvpKuBvIoZZX1adZXkGg0Hr2xh08htnshZ0OiVVWRgisVDw31OvFIgKeJCHBGGtTj4nBPFunUmdnDDevqlm6y2J3GeJLpR45hXn48zh6lY1kxjEZI1hW5XhqbdMVxqa71vG3swpFGE5xh1qajNNhJMkvkxfJST4re6WYfUZha+AR2wPeNarWaiOMuskaWqSriYmZuOGCmbLx5MtWxntO5HnXUqG54XOLZFu1VlVa7LS676OLVtaSSW/9p/EiWOBAIDTl4MABomF1jkxXF6e+nhmN0MY1jzac+7ynU5YTAgwvrd10tJqGo3PWQrLCFJhOmLtgoTnlQYvWiBo0vxqWkqZl39iG5kHI3++gHawRJr6ZSVJz8iDEJ2ZYJ/DaiezHPtHlGYeZcECafEHzY571nuM4EX8gxgOBm20DIHp+PcFMNSY555nXI8ltpMYxd9ExMbgGka9wdf3r50ke5/1R9F0tvwvaj/39b+23BUknqvbntTgZ+koVx81E3svLV16sYBuM+YiJHmjI/qkH4z+3z+B9Tt2eGxj/VPirWzzhv9EflFIQ3OJwKJO5JXJHw4XxU/yD/2Gj8o+siZiR9Bp6UTti9cXWydfPcWV6KnmTw128MeTYrdsXc9DJMNsVURX3uxM6nWJpyDxQKgepIdMKo8ral7Wm6SNbldt9uL3QrnN6bMyRqkkbdmih7iM8Uw0R1pdRJaGIaTTR3sxRu6nLhMaLFYfNMSKaE6t3SU9ffiS9Y/LOpqr4e7J8Y8JHoxivmUvrp4fptpy/BSxZTlErkxLCUKknjEc49v5kfcCEsU8Nzo8p5vaP4fwYoRQj+CxGsiySq/hLKQ/uly9KNwL0LIqMiNQW8JESmCwgsHGgApCFQUMYGMiIsIFiEksbumsBYEtgHnNuAev31mBNn9lK06qmadsHI5vUZouusaQmKGWp218dqsv0rfM1gzYZsOf6FeaLFOi4R4IiRvjwUYxNSkTciTy1YLmnqCK/PHiXnBi1h8YLhVKHwZRDzMem5nWLhQnjDc9nPeuMaeOG5Exxxi8QYYrHQV7/7RrlYWccDI7efk2sE2I1VepdWBNt125a2bqRPut1snfatu/JswvdDOZ2EWJRl+e4wbpOw0sLa3wSWpedkUSnv+BFkxTcbFy48HdlPlzqYztg0IfdeRpkT4rQfINt3KabapgpvC3mfHvAOaz9rFsfiXIxhByKQJG9b+xrZlViJrf6XfXjBr8n8IJ9HLL+gBA9j/J8//f3j2eelGwwZuLBbSQrPnM6zoponvQMnuMGmNX3VU2TqCRJdfModYLN5iyOY3dHw/aN9kNYx8PL7BdcO7oEkkvGUyGMeAQ3kZwcaG9Rif4I/ge3o4fYkt/9L6h1d/25aAS0IHaDRSJcgTQgRW4fLqbFJAoHuHyHgYFKX8joOLZF3/b/v/XXx/r0zP3hPemgFISOxndMLrvPCSCA7DTvEhp1TJMmPGakQHAA2xE5th+4PPEiw/bYalw7MpNa2weM8xIJ0YBx15zmYDEFo45510Q5vFTmDAL4rIhIkIBEANfPQd+0jCXfiwfhPL4uY7jnZ7aWYib8osOQODahBxhJjSCp058xUc8XV49xrE6cQResmQjJz71xktQYj8GZ2NBIdkx4erxBltmZ2t3IPmRyARIObJjX0ShNvdntSBP4/Mze6WJoeMmZWUDHDZfl+pv6GYkkjh3DPE6ViOENjun2A4gG8YmutOuygiFbGERmNEw+qr0NGhVH0FEhGE8OwpSx726pVVZeQrlCeksuThRRr6AgIGuPaRHpn3EmLD6LSp7bm5/2Ds4uTIhfmoa2KSu3ryAq6vN5VV91Kh2X7F4Pl7GhldyFiKxgklUa0o6sRNzVfxW7UHZxbmQQLz13AgbYSOx+kh6evTCEkkykfqskUGJLP4ZjMl/1j3M8yaexJ/3nM8Fav09LpculV+hJJ3HeTZrwRkIIVllkR1TgmYAjPEkpWwnee+UR7ucjOfoNY+Fzf9Kfsv6Mzc8OBw8fXpBK7RErmfncHQwcT/qaH87hfvKeXXWfPz5hlnq6h21KjmpJy1+zVgPxAmBCS3JxCYQPMhxHB1Pf7Mmg/P+cpaeT5WbTwQ35tlpTqr4ePwhsJhQQg0Pxz3T10r1C+N999TTShw9E28H5pMVIVgn6fXc1Q7X+NypSSEJDNhAKThxoqKk1YF+FcHZ7krRw9/2uOdD8CazgFp+fuu7zU2vKXunHdyyVZ4fHJi68YN6iPGOoexcEPGVSdEr9kFQdeNp+ZpJByi0PT+N3AvyLHZOTzmqkjp7k5iKLtLeB7q90wSljXjEmcPeqidKGge4H25SI0nt3UxAl31AViO2IJlvP0/wb1T8Q6ShS5pS4gpUtrlMjs7OjhUCgQ6M949peM7lvt13wzrb0JN9JiHVLHo5Pr+OMF1CwjsQ/I49GojCt/B47IqjrlSGuXvK4vjDyOrZaIhsII6poTJCZImevWe3bHuRImM5qel+y+RQJJ7TxfER6uxcDzxBDTUa7VKjE63cNR6E4W89mc21+Jy8a5pghvXFjy7eq2tK2Yuco1h6JI15+AmAXIfCJDWmGevryXIo3B0lOkQy1vE9b3glYcfccwTHxuWzH7lzv2KqqP0735UUWdVvYUsK9W2a9P5Ls9dLwkRkfeavazbKTHzMObOGbI5fow63SaUj6m7p9pM9FL9vuuO9lfdYVejXkJenLfngwvWVPvsOhQ4MdbjVyoJeY2K2+CeH6SOtcs0iCs8nXYcEBTAmaWpvQ1vy32G/Uztnfrs3jlpai7zNljF2qtWUPOiiCMWaNRdxxxR7Msl41ni3o1Edmh5UlQUi/KLJOlvr3bsJhJ3vq6SZYsO2Y46Y3mHmYSAojjkJq42uhpHtaMQRU3zOSjPiOukypbU7ENcKG86Tz73dp9b+NbkeH0Uz0mySpENJHdufZNgJFjiUrL5KTNYdDqvn0oxVEkK6I+HHCDjHWc1aC17HbEE3/VjmXEpfUCXmh5rUzvChvNO+GDBItufE14ueYhVbim/amtve3R5LwW7baBuWPqjW1O8V9vaGLU/WohpQPDsnTiRSZ0H4P8dy5p7tiGbmmZm8iOin2pseFs4S3ZSnMnFImt0R+OZBTxvVKx+Xoei89kTpOWET353NWAHZX+j0Y9m3BTrWVkmfLFfiH1q+G1hpJPj7Ox93+L6R9IfCwq1ET1v/HyvP0rQrsu7gXXhWrG1SzWX9986j37Kd1107S+YO0lEHGGgRA5cRqaTacOFm90m2X3/fVuIiRfxc9WRv0pFb38qLOnOP992++VbuXPlXX086kjZNch5bpXrnQtYOh4n5Lc95Fo9pwKTpIKXMUZwAtP4fGktFKP6LT7NlSt6VUHXWEL1X6rjm4B6iBkTVPoZiUsEgja7Vlyta7eEbwcRPSCmpnMn30pPp6XIXGRWADiiIyVq+x2OMOJD2HtIMC4UAUGgK8z/sDIR7tCGY8S5+rSGUOe/gN8WGjAzGTQqaXbM3CpTBsKAoPe3Sza/fJqDoBDkqKa8JIpITaOkPWH4ic+MPGZD7ZjEPIYWKgqBvYTkH3wLktFk4HtOvQOZD4Cbw6sbbhXtAonygjc/mP783lGaNNVs6C6GlxLuCENwfRrE2D87wI8g5myOodgbO2qOJ8yQ7E59FzaJtwSGphTTLHAeI5uFdpCBFeC7Xbz9RJkFFMgjHcOrrDvMBkKFD9foEs6TpTtDl1qow7iBllku0p9VkOfaUEMzWwsAUK0PbpPCxA7g8TMNwZ5uadcrWjkBBgWSBaahLB1mw5QwOREXoB+ogBSOhYHuEgWs1WLmwt5hKI51GcqcAhtBk3TjoFRn3WXg1zhmKVy4m/pJtTSShImhOxGb6CmdRkJrDIYWCQY3Wg8wV52OiBInDIE3+uTGWvPpNqy2uxkYIIoKNNoyIiI7wOQDjNQDrDg0hpGXNhw4ibjkcUUlQ+4KDAXN1Gqy0kSO4vSj2QLN0r2FLgRiIhfiYjpb83o+lvDonJR9UkO7uKY+MKOaQPTy0tiBoHmU3nfIfjREJIiQA5Qlm6Kw834SFGpflX1ei3q1HoOBAn7JRrq8hYLFIsQQUFgGnQqgHCQhckwLBEBkTqmeg6UK+A1BBgiuEKXZIqrAogIDGWlYX+PYNp2gqiAqqLD7CoTbuUwCUpIcLkgWk4XDWrsC+DVJMAxbeROqjp/5QuVREpD1FAROe0NZNwpVA3DR8Z5fWvmo8b2R9evDz+csMjhhkVmeRRsISGxJZsuC51nUHUkAG6cQUhxToqTuKbDHoTSJufiUXIgUQWKSLEYxIQpQoUDjgk7ZUjBjGPcXJYpOCO0wq/WQISRQ9c6NsMW1BECCxsf7tpibC1tUFwkDXcRNWSFqF1pT0iEsy3K8V1r1JtUvAXaQ9CeDuBMb4GEQOc5We4RBPMdAeB+lUBA861hcoySMSchDIAndsn9iW6lhd5A3qn4hBTgkQiEiDVJQ6syA4M9gdFAdsECWsTRLemTISfLc7tk5AxJ3BTAuK0bIhEsEB3Ak1Ow9IAxgKIgCgCAgQQDXtRf0O/rDiS2KvtjCw+n6M7wxRKJ4mUCKAecOUsHmSkgd9Fz2GTi0mFEjnfpL9JY8bPqJ3Y81wuWYetrCAwGR8hc22GDBLI2m+C7kvJszkoDuJ4IskAUh9nOQqbBwNyvHetQqyss4YXZFeJZEK0IZEzO8FyoD0hpQtz/d1lESvoC56d3UOuot94f0BF3KHzQHytINVE1YYggrzL/J4xdlXdTwPpHTfIadgNVfWKytYVjmdx7MBSYMEK+S5+j7wMfw9lXDsD935iaE4ZDzVLrxch+nTIdRLvpZSv8JdUdFfOjR6SeSMcDTRAlBQv/ywVlOj30X+iBUInM7m3W96UI/ak0xHBcAoOrcUcnXP4dGFNg/ONkNU1UNQVSHK7LIpEA0nwVqGfYHfJMcg+7/l6b+dwmtRPI6DECGomAMUbopgOcqEfH5vlNMNGjVbFjMwZEzffixWNmM9AfoIH71fIWHqT7gs7NvrJ2PSh2mB5fuIeUa90tlA/7sqLlWSgiQFR0gYkMZB9RI0EYDONhZvLMRmAxcuBqhoogcGuiFXobOyFVRcww09nx1+RAz+e6tT0kDY84dMtJ3xFkysKD1stpIky5N+uT78km5tDcRRQG/MMgPp4ne7WBs0hyyElw1ACEX8vOhfr6h8Fw5gr2HiHQoHArOqhYMgggDGwrR/hHdygfug6R1a9p8jDhuyosAlb4dyaDofOXskhA5julrO3qiJ7/WFzo2/NYCNjIL0RvJdpFobybN6Nl1HfWQkDFBWgsUQOx+LgZzlxw/mMwSiA5D8tiiECGMoVxlyBkiHQpS8A/8hnaB6KP4/LWlGSGshSGwrTE1IBrfILsVr6YQ89EGQgsIgKwQ98pIeIKUkyEz4Ay6PhDIZlUDy3m4zinQtsUB3ph02Bm04EoaQQTa/AXTbbCA7llpiBVSpomGXhBmEDZpRdUMd97C2gsl1s4CIaQutVwBMyV2fj2ksYs1bs0GQz6Twu9sI8OJiabtCrGhaDSojdO2pVd8+9dNbCyQUlmzrbXA1Peaq7ICsgiRaopuibVKbiajt+kyWCP5g+gPb7VPbQh+cwk1DsA5Ug0sCx6TsKJZByYTIM61TtgGADDkLYilBBppfmSy9HeeaPw9Fu0PRmfFFQuFUUxVr0wLQZ9Iyw6OUIe9UPqJVGZlKLkQqAwlZgIjUMjgCWQSpMckwEKRNg7D7olGMPhcdKuDmSGGSdHtbtEu4qjV1ajdty2oy2trcwq5So2yS1s+HU/VfsCePbwzWUG9sYXzbTzkWoJPIbvKHCjpOfqP6C5yv0L7uL/tVVC3DCbyAguXYFz5Du6BI52zL3HDGUCjvD3E4HZOztEq6NCfl9RRPjEDveAL3C2rvpNINw0n2BA8P2P7eJqTX210Swd4VRIAhYxYCdvdZqJ5wkj2egrYmlHQeQRE21BwSgQmccbaaousgIEfkEeOYWjjFsgTMzSCRDQWiLShNi/yrsOvqjWXVHyum8f+VWxOdCe2jeY0QFyYu5pULpufWRn64zOGZOF8Dxg4HeSfzpy3EYssfldYcsxiJTYRCN5caTL0kgQjpn0Z+G80sMnMEdo4GbFi5d03ePooNmW55MwQIoxxj6Yha8XIyz5baNLnQ/S5RlNuOTnkuzlk1qd8g5htTkHQ1g6pBIrW2R/am/HW7dLCVYfKCNGNyU8cdCrikFrrO178zWDJrGJDCIEksIu2jEUcc78DT3o8ET15jjHDa8sz3OkcGNJCgxzjvpw0GDxgUjjBupx1vIqKg4lzJtEtDq7OWREkYcnhzankOIbSZvBBgNtoy8NiOen1RYiHzXG/HeHZFFj4F4rZqCQ5QgvjazA7DtxE2xmEjxrHhxREAgMmKtsSp30HvdXkaM2e05GatxdnqzPkKFps/dOjN8KEyy9NAd4RRJ5cWzXKYccdU5ApJgdbFI+owjHDtLxBNypNEKtCKbdxZmCC8DwFkwWSUJsO9EsgkgJpdy7z1vGZ520FuFMcPI06KJHTVEaum4xn61k1b6bQhaGdSqnAfBUuG+mMaExsDGiKDTaenqJSaYJWSkrhcRic755m0Kjid1xzveqpQiB3yiMGUQRdanGLguPjuWyqQI07CEJ+zvxK1vtGnB6Mq8OSPSiGyoGpPiq0EW4KCmN4hYBZRdi3ESiYqB5cVkM1Ct3q2rwJOfmFmL9DvPParqTz7Wie69o0rYGxCYtxZyQQosvCdXJ4d+nqhiqCwI822WNkFTNyBkuYQ2BsxiMQNFjGwzDdoDSp9JF6weRMkMpp8j3odpO1GtGUTunGtdVqTd3TDMbPJ5YMS9XZwjFkdWnRNc10amzejNRbPcWEW1a1N+d6Lyhm++vKN5Y2CLj5R8aKIUJ0aRjDgaEJra9zmdGGb2Y5HDYeDYFqgQjpG10z8o5gmd8zStIVDyhHxbjCPDF5h80ELUjsRhLvUrN07uTeYkzNK+ajLy64m4zQqootXlGtUeaJ1Lukm/2TlQJMmCCEIsi3Dg5JoSg2BcDJNkGESja5jgAuMVhIIbwoI8DQuaZBoDMEsDdLBmXQaCkKDS1gKQ/SwuazIdQ3TQENItyg2OreFgxaI9UKJFqhcoppx/eTe7BMP6sigsYDMt7ycJ0ARdxqNoDmuQp+yIfvtEjIQSEJAjCnGv8dJGxBFSEuWBw3hxjDWqTcIOdH2Tasa6aFjl23aLKlzN0zg6CYJh2QhCZzMkMDjNhKJ4FFRexqQyMwaF+PzUJjgdmNg4AchYeou91jFc5NZyQ7jcorzkTQGZoHOxIOx4Fagi5PA4WLR0kE+fH9FhTnxtm0FVL+80aHn2GvadYh/wCDpQlZon9cF95qR1r9B0GmDqNUOdiJfsd7zlyzdeiKEg7b4gaR5qBSe/rvZox1sz13rCgmDSiSgiSSjCoiWAVAC+Eeh7D9Y3gHCP3OwnwTp97k6jeYPuvbFmDxMCMTfw+TDg5wWhMcLJ57AMFd6yVXANHRMBrZO0Hdd95qJiqhSFdAbvHEI32YXQLgwJ3ILARgRZAQrG5VwOwfQGS5kTPxJ3az6vLHPl30QNunEccktKlUp1qt8QIlViBMOXh1EKBy4LP3JhEHOkZ5XHNmvOgDBxtoDgwEMQVmDGeWewxnVrptNYWIu0V6k1dIRwSN1cAGZDSlH9WZuyLqneQ6d4SEHeNiz8fzVMV4wIFMkZOU28Sgk0ShNa/4kRTaCnIzxaGJQ/h7/T2wq90y339Ym7M5qUPagsknUYEWIcdz94DP3khQrs4WtbZ8AfYypM7JjYywkjVuHKxT6LhyC3+jwp3jU/KLVodzQNo4LIcG8N5Ib6yNa8rxvnFlwpNt1WhRG1lKy1Cbi+28XtyoPZvvZkCZNqRhxDBvSGUUBSIigBqSoSwPmRUYG4YFSMAWAEWCyRWCRU83qqxE3KgaNoNkLBdoauHnAjCRGKuND+UemIj7P57C4CDIdMamg1I5Ql2IwKI1wFKPGFl5MWeNlPiSQgsF3gXcdNP4+BcQ4AAckVjgLlgPftOeDCHpjx81OTxhdT+2PAC7xIGR/TPSH8oVt2dz+H7cah9xrbJqD2kgSRK5KYUUNQrrQfMixcFkoTsR/+kRD8h4dMOjK3n9J7APlOmIaQAtcaiMsolgjFaUrCtghWQaBMyw6zG6QA0KMESpRgBVEJRApZQFEthQWMJGDEVRkRltrZLD/HBKUGMRRMEjllGGJYwo8M/cM3a3EVCq/YG33DU5htGjxbCSBRiSa7IGIqbyAAloqQiqajBktlAO6u2VY+T8E/3P+tGBQZAmlmRq5Czwn88OJHw/LTInbIhqSjmD+d8DYL0j2QISRgEV6l/IGor6tVp7tJ/J9D7O2GQjghxgabA/L4/Ag2Lwcb39BMg3O+76bMLceVY8l4eBKCxdiJwEsvNgxWasMr3GACzIIkRjObTguo6SURGD96mienzmcfmGxirEVkSLoTgm4c87sox5ETozk+c77KKl+9T73z7GXxq3an0ey7pumPt4u2UWsghsWxCJO4D2O2oIvQaiSZjpzrGH7XusaUYwM5nWCOh6x2N6aS3n7E2xveUncEt6qeS0N41m8ou6uMQPn+U9Z7DmT1xRLor4mkuqJOYwKFMLCsCfG6STCMQEFFRO5EZ9dh8o1DrCVRlBA0JUBidUiq2LUkYwLDxx17yzDvkgdEcC5hEYxUa2k9I20ksnUwzOxEGDzu0YhYFUIFjDy+rQwcB5TSbI65sLLvQzHoGBYwOq22whTQM6nv5bWncQOMChpCBAg77bgpEdpgvuOKCCQiyQRBMVCHC+w3M8/VctNqvCewYa0GTCpAtYUksYRe+DUFFGN4yqjTyEpsRQgU07HILprwi33eTMMcfF0KLllICYIsp9nmH4mT7SBiOxKTqkGRYBplRRYUtEC1iAxhBQqFEBEiItBZCekEAKZIqOnSZaR/uwkjCISH1mwDAGCPLqQZN6xkmYWjFQYdsDTAvZ7T1kzHPlnGaVL6B7oF+vsrNnr6e7yucjk1/bnQdaa2REiKDGMRkWI3sNec0gISGtNESwD9sjIMFWsoO/ikDIOvSmMy564n5aOQxppngJAR4Qs+v4tgGC+QAe4h7lEijijdKIPsOU7gPsG+j5xX7ANESJEDsN/E26TPRIgZkmCRwPbibmE0jy68Bj4m9jT5LbXr8Th53oQ8YvEjQuOOJxYS9cshFY1TH6OkhSJnSSfH5MTLSRWcVM/qd0i8NmBpuYaC8VRequGYwaYko863IkxtZziXoxpZeyM9FN9geCjlhWKLCjs8PPVZpNkgtZX13mKxMiZZFJkTsFPUeFBwOK/ONh9/tjjA0vaul9d9QaxPgGwgh3gfCOQCSIPlAP3EEVxDWEQeHiDpmYZDaBIrx9J1hwwoJ989fxwUBibfgetLr9BhkkKPCFyXLl67cwwoxypWwpbLaVlF+CymWKCihbdiB8hqdEySH4YXuYQFA+JAgooKQnxpO6CYT0nyy2EFJtKFMtRIkBPm854HeFaCAc7mCZ95lB4bAwSijm5L39MGjYA6RNERaFXUHvMatHXY8jo7aPOGcPL5kQuLiUz3bfXf4ZxifVP+VnlQstbTgiisvrCxjeFDDUEHwxp3GgKAoQzFYJCGZGKXHHm5AeY2f4pyZDF6GByyoNo7EIGh+oOvmyIwdFJCRSEOVspaS2yBbT7JczQoz8RaBpE5hbrU9AkKMO49chsd8Xne1K5GenRd4TyMCIJFYLESIqqiQiyMQioJAGQYJGQFIAxOjZ85FT9af/yDQ9T8th0FutIYQDsQD5dZAKQOwENogcsYsYDCRfdSFEiCSRZBiSMkIM7A9yd72C+ASlyQ5R6xKX1ecPOQCnh2oUjwyd0ogQlwgTIDEHmje9igjciHFnKjSaKX+oY9fmsNAPtTu4q2jBsDMfUJg9AhssMtdSTHaoJxQ7954m7U7gXUFGdBSaTSoz8JrEuHee2GnQQhAD8vx6N9HtkSL0gu89IYNnL0e3ZcumC5RYgSSLmZ3mCsHAMmynmDYFlV8bH55IqaAoDIC0VQwXPpODCg8tlMiqInxiUXwModAY2NzzOsPcebBJMGkwxcIawD72Yig0abbjhZOqPCFQjfL5VypImUHboU0XVRPNHOhdWcrxoT5LMENRKJRN0DES+wpMBnGrPlusCcolst43vRdp6U5TtEvSmcLEFR4VkMGepzEKuCo28GNsjY9foc9PaiPwUJCOMJebs3IQIfbnUyN0IdpEHCNrtpveO2z5zuPobHL93mBwBySnxoQIDt8dG1POMRfkBxzx2vR/L1KwgEYEgRkkCDEgIQIh1dRl/n139/j9eX8YGL2s8GwAfUyGYliQdKNvTJUQQzEMcNko7od5hLR42mxUEtpaKstKtSaNr6NbYEXjKhqi35BsnCbrMLtlCKLBHQkq6KltYijJRCKVUsSKNsK1ZulB4CgyalNxFiXWSKlEaC0pGpUtnLjc32oyZGG4AgUkQJuwNMIPuHECMjAKI83nyuah0QB4LogCE3SEDURgciQ3RCETfDcEG3AHiO0wOWUsCqnE+ZsQYcWjLC6xOQ8ijw+Fe4uEDUKGJL+x69w3nWCw5+AHC8c8kVBQWdj8Ldemr5kJ05OklQcI76uRFkU7AYYRxQQ7Qa0llwCxkxx/FuLTqC/GgWRCGjeQEmm29eJ9YaRYFG7zs6FA4K9CGqxsHxfs7bjeHiYtKHcZscWZg4jgbvzb/ctMMLrSQiGlWasBTrr6NBR1t1kGJAYSCADB2digRYGrOkW4hWSpQjmrvGjR0dfYbirwrZDvL0XKbtNNg8JiS2zlneQOL7OFJl22PrvfbfdBY3UCNofvmz2lhNqhJ2TMkMrnJWCDcs7CrpCHTlYVEaSvV5Dsz6F35DAsG0vrBhNorgYtQZvpqgSBU613fYqQGyIafsYhigagp2u0KshnS+f2nKWOU6aCfJS/GYIcicr5hkWHh6g13CL3CWIlpaiFEbIrGQRKIKDSCgVWEUiMSQWo2jBStggQTjzmSnuM17vSHQApLQfArEBkEnBzSbocHWfDc2pDR5fbDwOnFOKyzWttiulSczz+FtDLxNIcvKmlEsueKIajYUF4XJHvOws8kPCqMF66ul5LI+LZR5YvQdJAeBmEcCwbIh+mKKSAtDgyw2BbKcpdtGbzu2+UNvqnGPVSUZ2qz4XllemYkhvSBZV653bdHD/iICoWOY00GrHG1UX1urvx3pyxoRAgQJdiaAgNwNQLhSamg3qah4RoJMYaynyJTHibQ4Ng2/jQ5GcDQSfpKZow47gmy2xYqinAHdmxWJMZyXFkwZl5ETAVQMmUGXdhQUUgyZZVFFSDDbMMRVNJRq3RM0TGSSQm0U6kCbcKKYSH7FkDy7sqhQBjmrAJcMjCN6sxN6GgFFmDIYIBiojFYJiEowS5pzUUQh1cghNUNLi7HcOB0VzC7vTBfTqOxbrSaRiMI4UgkYMsZTQQxmBBVduginAB9h5WDYb5uT1FUCzxpg1BJtwljZBGomUUqa4jREvHXBAvEFKriV5F8JIDZNw5BpAuNihKCDcEpKAooUEm1F7t/Hzld6eg2DUSKGTpEBmiioffkZXMTjFSSSMJDssUPkvNbcjvUwW8qnEPPMa4dghVnnFuCdpcLacAZEiqBulnQsIU3sJqMhqM0aJqMBEsY3RpYQLiWGUFDeFgyEbK0YaIJs4MlImICkgi/3tFBSKCgLIpFBBCQSMFCHBQIMYHMJmFTAwBisBUVFgCIznMgdBEtcYBDXJHUBEQtEWRVDUuikCEv6OOifTT5r0EZgVNonSkNH17wr+JEeJRFQ3FtyhL76Tk693dg5iEfFeGwkVZNkSMQiFcTr6akfhTw89HxDY+CWXwC6FBJJ3DBGQAR8aHgh1568yzHtyFaqywE0RbaR9dNVF7econQQ8Du8c80TtsqdhTUiVAkVyLZRL3lCFEVKT8clCyzAEQiSEiAiAkAWBEYLARhFgWiMlDQ0FYggjSUKWFaCWTIh6daMLxq4xRtCoiMRATIQJmJuaaq8XJObxVCekAb0WMxhcDCg9Jmn2nV8OYs9DDPnq0raj91gIzBRW5m6jH9cThgSBBKYhMNu/Uy4vurfeWdmSMGRvhVzWYDN1UFJ6kB+4jFiMjshqOZMGTSbaXjXcLlLmOR5C0gPmlHoUoZFtGggLtOSYQNyuClCwH1PNBkEbnT8XqKAKYkhIyiBSkC6GmlX8oaUMwU5jWpzjmKP3/iK+z6zf2EYgDIBvUgwkhCEYEYI6z9Dc4F0wHgQL8JV12Cli1BYKfGRIh8NGCwr9sRDzLcIMikGLlOsuJJaFhEKg1RQklBEQgWDzHSUNwYOAgjkCb4L/Wrm7NNlLW0tgBKItr0pZQmANZc+ENKAXeBB2iYIYsJN7xdZvNg52FTIhoMQDfMBuzIC4i1Ew5YTuALja1ENiaKKCzBk+8iGMMwLUIcIoaQmDIwZjKmkM0oCuaJKEd7ChQ7Lm0IGxoV4bFT7NrINqEPwEDNLMiTpj7gCgoLBMOFN0YkgyAHUoHWQUHeQRAoCIoX2Qidp7H2/RT4XS/EUqVUxkKOMUFqTmTpXUQCIhp5oAcDniD+iKHhCEVLEQCoJXAgMSutOT3IQdAGZMBRSQQlFG++RjU+g/6EjEK3k8qGZ4/ICxBB00ZovUKvWD4hs1nYfo99mQW8IROs9xV/masaYCihBoAew+b1XKT0bFU/VzIHT4TxgWX1RkZBa5zpOopjRA91KUIubago6PjM0yMuGpft+77vf0KKSzvhC/qqaG1uRE0SkaNNiGgqGRNxGBZsGJuAUDTGUNJARk0BlsoUjILBnLGVswQ1d7A6e0gHYPQf009YQLAQQ+kK3EvPLN94iAxEPeO8BA+Q0LEhvg+tPf/DKs5+qe9XC8nt4FetUbz4/heQzqTtqJWMMOZoEKGA0pQga2pyghNwL4ffKINEOFzAs1yYbYG6iAR6XkUP1IlNzsUO6wJyk0CSES4Go12a9316ENzSU00B+8JQ3HEL2L9DbfYWVDqwhNy4lZGQvtmrYCaKhluNnYSCQIY45jDSaTnDbQ+tFyB07Sy6NBVFSKQUBBCCRCLJEEgKAsYoEARUYsgkRAEgpFiMEYLjHAejZPes+8dGG66E/auxtRpzGfj7509pUgUKiUcqLcb8HMnMUcgw38KC6vmpuwvAt33t2H8x8cX33sUfnpeLKhu/8sxUNWil57XOGczSN342qZsG1jS6Q0ld3ZnDPiQx0py4uPscWJIf8zPwrNRBVuUjazTwiqT8NxMFYVbAOkqgkAg8CLBaEa/ecvHifQJYSyHgEQOQWUIgjAowwJtxBm9+SXnAgNwXUsXRSlEElwy6xh3y8AcB8e/HgGEqY9A/rtY9zV4dUzQgxJFkPmo9T1UStrcYpC9Sj+IHHbFVBgQb5f5ioWzL5kus5cmOh65eRPZF47X4MvBU958pPrEEUHxx9RQXHPfSm8rZaQkTURm/eWrV5i7e1DITeSWdp5u8FJiVH56oPmcL6CshRkpvBBloPsMxiZaRQSJEYbGWAYwGCWN0WAJIJKwojaRYo4hZU65kku/iXA4+rgaNJKXRkIaymkK1FrQgEmVm6asbJZsWyF5lysu5MUW4YM05NkNoJAohEsoKjSi7BsamqtmUECxusCMFTUp3W7ZY0YUNrhBUTMgVDGkaRh9RGEPJH/UQFuK9Gs49terpowdxybQ1bniFouZsSP5kClwEhzQqAMkhIQ9AadmvtDnQ2OHNXSKtg0hGU04hNeoK7xIMlMieERkEnSdQ8sdzlRI2sGJeylCH1dinbTiFh+c7A7FMPP63qjJM2vYkzZCDNaCgnYLmX3iRcWExu0W5m3ezLBT2o0oe/ZZPdKfS5X1HjCnt4CwEnvWwdyHI7BHtKoNgwaenz1cA4su5OQKBYgMh0d0q6s0DlllGiaoXtoXKDQi0VyDYGHj8jylCdtVdP0Hw6h8SzdTVs1ILBCe5weu4NDxp16+whbQsQ6JqLIzrOXgXNGyuMX80KfGG/q7ldYQUIWyDdJDfrZqgtAxNVXT1uvJiReC2WWmIY2MTi/LmP/jpytFasm45lqp4ud59bvn0+U8oHkw6TxPOFB5lFPWEvL0QftpxZDvtWJYtKCSRIRWmAOaijekX1IB7RD9jCd5+vMDUAaj3QCDBZDSRbB3dVI7QYFyoqBIBPIXcln5zUGcR1wjAQ+VU+5hwO7I7I7pO7qLWml8kE/Pv8g6DefA0cwj87OIHoPAchoFgiqSIwzKIiupmFfQ6RhVuGEi1SFhDQRCSkhOvAIYUu3oColEVkFYkSqpaQjICJBZEVlSWg0iwkUJIKLFApJYyhRAsEBBKBYhZAgwCEUIxCDT0h2hBYoSLIppOtn20k7QSe0LbEicB8OdOhoqWh06ZMQsQOwGyDPX88w/TxUyXJqM9Y8y98s9T2X9DVtMTb4oYLPZm3tvtvjY0PR1vsOXnxo402M5MLYLEH5+TAzsxpTB3kBthdOpLnR2nViOw9WhMyzT+xsGG0/NXQ27yQx9bvlygL/WTDMGLAvgqG3LOT412m0G8DqDGJwJHvEGGdTIOodC3k7ojiSSqD0KUdiJ03KmGgwFhdJjvDsGvuxHOR2dPD1+wo7T4KlbYflaXVVtDG8swWzGuF+A+QN1waS0b6dKd2tJK33hzpM7zs5aKnCcdBavDplTg4lONrBifNTuKcXgIpM3LmGLJJsWRPFJPcu9FQ0Er7SHb4T1ZLJi31oWYKWIindXilWmdBRbLEYelFU8XWJsw5FyySPw98QW7mzAD5pU61G4aN3jVB+bGKwjdtmKNbqriYrJndgbnTYbyHTNGDubLbfFrGiYKAdXk4ndW+iVbVSOQisICQ+hnPc4JEaDhEMMw/iEA5MwGiMHohrRbqWt0mRczNgUECbfRVOx0F7vNiiJNITzo8ec1rBfAhtnVrNy91DFHapTTS8Y8tVnyDSbUImGMx/8w9zZJKWqcMEM47k8huNjXScnRXLFWosxTmjLhiizYcbOInEQe16aQlCp5IuPd51FFLjTyLNPUusS7RvRx1mgQKIJCJeCV6uR9490R4aBseUIET85ewpA8VrXwsC39rDZDHq/DmMw155u8ndPqgOvWoUa8FDoNm8iOvYUNXF0QsXimilLBjcb7JopMhYeExKUOBCioxjBVIb2xYRMARElA22KA1SWBxcahhcAWWgYmg8mbiBIu3fRcup2Tz7uXJLsc/UegqZMhuliQgKRD3dVFzz5goYODLbIP1tUR21KG0KjUFgxkYyaQuFKwRLboyEpiaPiiuIunELDIlbHTY8Jwd4u8PAo5CmRmJhRxELugxFcqKoKpAaq3FBpjaqF5KC4ReurliR4vRyPwg+jFdA7t9Cl+0PKgpAObA6IGsZEGPS+Py0T06mzpspdiwnY+3ziprU3jFczJoFzLBITrYkOhVRFYqx7K45IV6M/4tqYdBziZ9ugiO46YQOqDJtqqHvBfMUGIIWXA5kUg5UhxK70Pu4zGZ1zdqSq672hsaDzSBB3v4Bt0GxxoakU64Fjn+SjpONZU0YhSPzeVAj5Nk4YCPDkYbcbSXJqjs6w/LhcjBqRVEBYsRUERFRHcVjmBgfMJhkKRZUpaFQIISIJEAUhBE9FhRh6IQLJkBgyZ4LjKZ3hdk7ULJlLJtRzfIVm46SFFjFZrJTBaoiIZaloWEwtcGQiIS7sbAAWUiQzElE0GRANWcPEXOUaItS9dj42dqaR2J9Tjg2POTpBhucb0qDLyLMWG8SWvCbzVirqxO2dYMmS7AufTqQEp0TB40Uk450SOWBaPKHzATGrHsVk15mXfm6HAXR0JoH3WfNZuDGFlBdbWBpc1TBkQ5gzDhCAxAtmHVR3s2E0gywbee+GY0Cr6LQLZJvooIuxOdgJ8z3pGN36IZbIyg0bLWCoNMD1955+Hj0ccbzwa3smPrJxD06PEc6rN7wOPafGqFpXD/WrNYp8zT/SKCUze6DUnkt5wWtfaBZywMmZC7uKN+2WVhbBnCJPwp0GGtJott0OU+TL4RMbRmGczRkxoZsYDQ8INjW6LxieO3VQZGdA5NUeEsTDoY40nnjPHXGYwwjTzmR5NEYDFVclR1xjNnTEVFqKjcQZ0bRkEGtoNoDYcYY2elVLyy+FG8lGrAxIy4JMs4z4zDcVCwwh3kdMbZ9ilBIUtoNqSVt6xBljIizVQvLfraMTTxYsLjNaNKyCJIBuJCsJGc5zFOUu9OuzLdtJuUmNAwKb5xqyHBwWBKMENlODCcMrvuUDeGqlGpysOK5w7ZrRsbRkHWUOJsipMQUU/U4nzivO7jIh8zHE1NFEJ6UiKedOPzh8YfDauSSLehCqYCS5kmMOxxkHZmwPZ7rok2jZvCuRlxggp0bfqZxq84KJE3cWjGL4GlzIwSIxRGGpZtSGtSXAvCCjEJoSMpQzMETpKaMGoHQtDmRAOAYVwotrxw4ayu00OYLUzmXiiNdTFaNrFa1nM5WMbGZsSwopZhrMBQYAbhZqQiMW2As0RKRtDZuFRKJZYeYiMoSz0PKNIdGMEjkGuucOcmMou7q7d++bpGQ1CobAhsyDGIsGcs8kYxJqZkE1LZQwiCTYwmoQOSNUDivBB18fOYPYG4YoztszDGmxnZ1d2FjBVZQuQ3RwS8LKnpUTnGxxANiB+Dup08CkuQFkVzDSWLDjovZOAdLyI3Lkk4EgGbPUJRKeJTEyjlMM3c1ZLBEYJETQYWDAYsFkVmZiKGgoUhpltl1BCJkKUOwOtoeM7eDlxCuqlRVpSialMRgi5luAWnaaLQDQJj5h6lHKbf8FBIgxmAi0DmxMdHSPsdMpo4sMok0Ib9QkLrB+neyBA2WEd4IxETAi0p9R8GZq7y0YzPTaIaFl2HVJFtCuwo5EiEHeBgNXVy2DURS2RVxzcSQ5+Q5XBxENYxH6Iq0qVBBoh3RSkNCIBKyqlLAaD8KuNsdF0WkAzEDDGLSClzBQ3yxkSDo+S4uJr66MXqCGPUeTrCgwUCgcONmSBCAnYFYKocWGnPl53SyWnQsHVm6K7QHEwcAbQmlGDbMICmSoomOrcJSTRvgUQZoLCxdGmXKb00r1mo1eY57ffw7oWmTDkjRgvLNFH8OvO47LvF3wcgSp2SHaCE8gEh3AwOjFPX8EMmwaM8jySE7WSHABPGqqr1CHMHAGnolrSIwpy/bN+SzJtXz0dly2wN8qqKsOZClEYeYTAOsgWH2pKD4PKjFFFgYOsaDbjfBe2ucVw2mhluWYbQICGA25AHtg0jPvPxDGRm9JINsUkCARGIHpLMKU+8gXgibQIinJlQcRaDo4733fd2ePVTGEhWqz3nf5jDfAQ2KeFzWoVWHANLBV4Y2DdZvkyQxLtMtCgVBTMgJk0NNLbrJDzj1dvTo0D5Gt7LsSQaQaKmwSlX1B27QOoMhbnAGgQNkVzAg0G8Dl3JY2Gc3RSHP9hIQhkUZd9XJY6uKB2J5wTgJ0UvSIdHO5ztIrnMbwiJpGGmxRDAQWkgkGMREJtGiBq1jzJSa/PMEZAWAN/l0EBgSyGAPWPuuBsU1iugnOGYPXFCMD4EBYQY7kf156kTvAuOkIp/gdjuIyRpahS0iWgw64gMCbHhJ55Pf+Ow7/NUYepoFJn4q+D1YLD7lZGXsKlUXq3+e/gkBtfeUHaLVGmAXIHSDgofkWFskXogq0PZl4BZKGdULEiHQ3Tm5eXXbYVtKeagqixZI6zQCJA2o26qukI9RmdoZESGzXXGA7xg9YcXt+ud0rv3qmIRk/503KszAKKQWEBQSG1hGaQPLEMAgDCGI2pHznWcOvo+sSAjsSYfwUFPp7KbDuPve0LJ8pJ9QITyHmDXcHiFBEifWhyInbW34G5KygLBlChKCd/Q0SOT9nArvhqnIw8LBSPRI1TCO5IfD8le+4YSGxSMc4gHGEQOGkr8h7DGrNYJkmZV+AQGWeVH2F0yYZjSZjYUaHWfEHND1T0mZmHgZmBeom5j7DKEIrEoEzhggtidbqoeicZ+rwr6/N4TK8knZ+nLLLGU3g8EokXoTerwKS0d9YzoMcSLVMYv7SGLUR93xoznKeAazn7PBLUBHvZC+bYuh6KYyRAipAJJYIQqSFGeRkYokWEBQJ7IoICh2ndIZPQJOxQ8rg6IO9e0e0JN6pXc7Lrrqy6PzJitD51Ba/QJr1IWo2+T852iGydHQ0M8uY6Sb3t6VQwSsdXcNWPAJYkuPPczCR4wkjkqSJoYqMeAYhmbqVaVVwCg0JF4EDxsid7vmEE36xTkydENQZqBqMzXkIlg5gMiK6vDz0dfSeyz6YScyGouWe+tGShP9X5WbMH0+4LND3V+EdE2QMvvhwAcYJSO0Rt5D5kw6P3bh38D77D6T8fkb1F1x4vD/IpVsw4o/YQ/Dn5PDlRqw5laKl/5lf49v0viX/xdyRThQkD8jkcoA=')))
\ No newline at end of file
diff --git a/examples/02105/students/week2/unitgrade_data/Stones.pkl b/examples/02105/students/week2/unitgrade_data/Stones.pkl
index c5b976676213ffc358cb1b491ef670191bdd73a3..d146b8bda501f47111c0a710cabc912572167401 100644
Binary files a/examples/02105/students/week2/unitgrade_data/Stones.pkl and b/examples/02105/students/week2/unitgrade_data/Stones.pkl differ
diff --git a/examples/example_autolab_deploy/autolab_courses.py b/examples/example_autolab_deploy/autolab_courses.py
index b935ccf31c12c3f6b3b241cff11205de7e814fa0..d24697eee511ba0132280f27fa19931449de17db 100644
--- a/examples/example_autolab_deploy/autolab_courses.py
+++ b/examples/example_autolab_deploy/autolab_courses.py
@@ -19,11 +19,11 @@ if __name__ == "__main__":
     snip_dir("../02105/instructor/week2", "../02105/students/week2", clean_destination_dir=True, exclude=['*.token', 'deploy*.py', '*_grade.py', 'tmp', '*.tar'])
     snip_dir("../02631/instructor/week5", "../02631/students/week5", clean_destination_dir=True, exclude=['*.token', 'deploy*.py', '*_grade.py', 'tmp', '*.tar'])
 
-    # Step 1: Download and compile docker grading image. You only need to do this once.  #!s=a
+    # Step 1: Download and compile docker grading image. You only need to do this once.
     download_docker_images("./docker") # Download docker images from gitlab (only do this once).
     dockerfile = f"./docker/docker_tango_python/Dockerfile"
     autograde_image = 'tango_python_tue'  # Tag given to the image in case you have multiple images.
-    compile_docker_image(Dockerfile=dockerfile, tag=autograde_image, no_cache=False)  # Compile docker image. #!s
+    compile_docker_image(Dockerfile=dockerfile, tag=autograde_image, no_cache=False)  # Compile docker image.
 
     from unitgrade_private import load_token
     data, _ = load_token("../02105/instructor/week2/StoneReport_handin_10_of_10.token")
@@ -31,7 +31,7 @@ if __name__ == "__main__":
     format_autolab_json(data, indent=2)
 
 
-    # Step 2: Create the cs102.tar file from the grade scripts. #!s=b
+    # Step 2: Create the cs102.tar file from the grade scripts. 
     instructor_base = f"../02105/instructor/week2"
     student_base = "../02105/students/week2"
 
diff --git a/examples/example_framework/instructor/cs102/Report2_handin_16_of_16.token b/examples/example_framework/instructor/cs102/Report2_handin_16_of_16.token
index 6229973bc47478cc71f94a10b49ddbd983ca4c35..5a7112d460a08e48f08d65a91f8eb939a025996a 100644
--- a/examples/example_framework/instructor/cs102/Report2_handin_16_of_16.token
+++ b/examples/example_framework/instructor/cs102/Report2_handin_16_of_16.token
@@ -1,174 +1,176 @@
 # This file contains your results. Do not edit its content. Simply upload it as it is.
 ---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
-bc3ce740c13fc4b51cb8894fe2642fb882d6fc4d183ce8dbf7b208c7b79b1547a094fbf1af2c3b7b0c54e9bfd0cdac4b448693c7b37bdae2cb6104b13cd38c45 30560
+731593cd74af630da97e475120e5c35da37a2e575a79077f071ced70ec1b7b90880a837c2cd5616c12cc8e230e4e05f275964e4f310b1c53927d04eec30f9023 30920
 ---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
-./Td6WFoAAATm1rRGAgAhARYAAAB0L+Wj4I5oWUZdAEABDnOSV005fGKHIkSR3eVM3V1TEIhcSRNKaDt78w41MYM0jfMIfi3p2RGevJPluRrtybXJpGEfwF6j6M/hY2f5V1sR52MryT0Da4OXrYx93Li/7sL8sBWaCogAwb4LxOkUYlQgpz5
-Q25IPOfwLLE/83inpnpU8C87FJSbmCANaBUBxX9xwLFxq5t5oyvJzEM1Qjynf8kGCqkA0qyvaUEANNEVFsQo+skz9uGLIhHeCGM2RLJMmDNX9YejrXfnAPprtQ94LLx9EVIEwi4lCOngEE795ChJGdMzeoaqUeTxvzjU21yiQ/CaIPnxihLl
-qdDnmVf+B5zQ5Izy3zDwbrtQlM62lgQDnGphn3evubvnxFZVnZXfHkHrYzZ0y6iySf3U+p+CzUSBj+lnPz0OLmk/L4wZSm2o0O6GaS0nQv2l8z3X8TVETxPlgQi3zv9TxuP/9g++NP7VKwyMl+eKMOqLI8MoQ1POQ22ZuIB8S+u5kZZeDaEk
-TdIgplUtn6+H3dxd2YRCo8+brvEtrZd5C1RE99N4shpsnOQJ2tkX+W/xHm6Wy3Iww4pDalRnhvdnE0Dm9o2MEpsz/f/NomUxvdsWKbR/mkT5C4h4UItdAuzyE0SKWTmp2rVuYFDh+a8Ubs4ffFkdMovVVp1l4f6f8jtOA++DbsMjISwo13XZ
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\ No newline at end of file
diff --git a/examples/example_framework/instructor/cs102/__pycache__/report2_grade.cpython-38.pyc b/examples/example_framework/instructor/cs102/__pycache__/report2_grade.cpython-38.pyc
index 5d39438b957bafef586a3a75cd7255218d14c3e1..5c070d88179947ccfe08054e1c7a60f12b4d1474 100644
Binary files a/examples/example_framework/instructor/cs102/__pycache__/report2_grade.cpython-38.pyc and b/examples/example_framework/instructor/cs102/__pycache__/report2_grade.cpython-38.pyc differ