diff --git a/docker_images/docker_tango_python/requirements.txt b/docker_images/docker_tango_python/requirements.txt
index 084c2114d646cf6216e9083aae4b72784c4206e5..70d4fad399affbd2faad24426948fa773d85536d 100644
--- a/docker_images/docker_tango_python/requirements.txt
+++ b/docker_images/docker_tango_python/requirements.txt
@@ -6,3 +6,4 @@ pyfiglet
 colorama
 unitgrade>=0.1.23
 unitgrade-devel>=0.1.37 # Required to run automatic evaluation (load tokens etc.)
+requests # For unitgrade, may remove later.
diff --git a/docker_images/unitgrade-docker/requirements.txt b/docker_images/unitgrade-docker/requirements.txt
index f415be306d4ff87b4943add66860a81f1cca01a3..cb32e1584ee5c69345f21bda8b1135bd342f9009 100644
--- a/docker_images/unitgrade-docker/requirements.txt
+++ b/docker_images/unitgrade-docker/requirements.txt
@@ -6,4 +6,4 @@ pyfiglet
 colorama
 importnb
 unitgrade # Perhaps just this and not the other.
-
+requests # For unitgrade, may remove later.
diff --git a/docs/kid/output/deploy_kid.py b/docs/kid/output/deploy_kid.py
new file mode 100644
index 0000000000000000000000000000000000000000..8a7e1f424546b23810fd95e41ec4f6c1a8d2e7d2
--- /dev/null
+++ b/docs/kid/output/deploy_kid.py
@@ -0,0 +1,5 @@
+from snipper import snip_dir
+
+if __name__ == "__main__":
+    snip_dir(source_dir="./", dest_dir="../output", exclude=['*.token', 'deploy.py'])
+    pass
diff --git a/docs/kid/output/example_btag.py b/docs/kid/output/example_btag.py
new file mode 100644
index 0000000000000000000000000000000000000000..26c2d4126fd2167e97dd7c6c1ded4b8f498f47c9
--- /dev/null
+++ b/docs/kid/output/example_btag.py
@@ -0,0 +1,40 @@
+import itertools
+
+def bacteriaGrowth1(n0, alpha, K, N):
+    # TODO: 7 lines missing.
+    raise NotImplementedError("Insert your solution and remove this error.")
+    return t
+
+def bacteriaGrowth1(n0, alpha, K, N):
+    # if n0?????
+    #     retu????
+    # for t in iter??????????????
+    #     n0 = (1 + alpha *??????????????????
+    #     if n0?????
+    #         br???
+    # t +???
+    raise NotImplementedError("Insert your solution and remove this error.")
+    return t
+
+def bacteriaGrowth1(n0, alpha, K, N):
+    # TODO: The following lines have been permuted. Can you put them back in order?
+    # t += 1 
+    # if n0 > N: 
+    #     n0 = (1 + alpha * (1-n0 / K) ) * n0
+    #         break
+    # for t in itertools.count():
+    #     if n0 > N:
+    #     return 0
+    raise NotImplementedError("Insert your solution and remove this error.")
+    return t
+
+def bacteriaGrowth1(n0, alpha, K, N):
+    # if ?0 ? ?: 
+    #     return 0
+    # for ? in ?????????.?????():
+    #     ?0 = (1 + ????? ? (1-?0 ? ?) ) ? ?0
+    #     if ?0 ? ?:
+    #         ?????
+    # ? += 1 
+    raise NotImplementedError("Insert your solution and remove this error.")
+    return t
diff --git a/docs/kid/source/deploy_kid.py b/docs/kid/source/deploy_kid.py
new file mode 100644
index 0000000000000000000000000000000000000000..823aaba2627202cf6fa38fcc12ff2f1a2af297bf
--- /dev/null
+++ b/docs/kid/source/deploy_kid.py
@@ -0,0 +1,5 @@
+from snipper import snip_dir
+
+if __name__ == "__main__":
+    snip_dir(source_dir="./", dest_dir="../output", exclude=['*.token', 'deploy.py'])
+    pass
\ No newline at end of file
diff --git a/docs/kid/source/example_btag.py b/docs/kid/source/example_btag.py
new file mode 100644
index 0000000000000000000000000000000000000000..64e9d68ab1d096069fb3d6a739ab7315b9155eee
--- /dev/null
+++ b/docs/kid/source/example_btag.py
@@ -0,0 +1,41 @@
+import itertools
+
+def bacteriaGrowth1(n0, alpha, K, N):
+    if n0 > N: #!b
+        return 0
+    for t in itertools.count():
+        n0 = (1 + alpha * (1-n0 / K) ) * n0
+        if n0 > N:
+            break
+    t += 1 #!b
+    return t
+
+def bacteriaGrowth1(n0, alpha, K, N):
+    if n0 > N: #!b;halfquestionmarks
+        return 0
+    for t in itertools.count():
+        n0 = (1 + alpha * (1-n0 / K) ) * n0
+        if n0 > N:
+            break
+    t += 1 #!b
+    return t
+
+def bacteriaGrowth1(n0, alpha, K, N):
+    if n0 > N: #!b;permute
+        return 0
+    for t in itertools.count():
+        n0 = (1 + alpha * (1-n0 / K) ) * n0
+        if n0 > N:
+            break
+    t += 1 #!b
+    return t
+
+def bacteriaGrowth1(n0, alpha, K, N):
+    if n0 > N: #!b;questionmarks
+        return 0
+    for t in itertools.count():
+        n0 = (1 + alpha * (1-n0 / K) ) * n0
+        if n0 > N:
+            break
+    t += 1 #!b
+    return t
\ No newline at end of file
diff --git a/docs/kid_presentation_2022.pptx b/docs/kid_presentation_2022.pptx
index 2f75b3cbd3d06a01cf9530424ded6073e127cf2b..1b5489153d4219a4657b0033233940c9f355cb8e 100644
Binary files a/docs/kid_presentation_2022.pptx and b/docs/kid_presentation_2022.pptx differ
diff --git a/examples/02105/instructor/week2/StoneReport_handin_10_of_10.token b/examples/02105/instructor/week2/StoneReport_handin_10_of_10.token
new file mode 100644
index 0000000000000000000000000000000000000000..1c26551ad5c5922abe94a92366ff57fab6e02a0d
--- /dev/null
+++ b/examples/02105/instructor/week2/StoneReport_handin_10_of_10.token
@@ -0,0 +1,179 @@
+# This file contains your results. Do not edit its content. Simply upload it as it is.
+---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
+a25de5bd88e7724c7197ef3883539818f395573b9efb020173d9faf25d354101a763145eda06ea65dea628cf5ade65e3b3441eff3f77034f8037a1bf86472831 31480
+---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
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\ No newline at end of file
diff --git a/examples/02105/instructor/week2/stones_tests_grade.py b/examples/02105/instructor/week2/stones_tests_grade.py
index 67664e6f10f5fe7815b719877c563dec245d3776..2c70380bd2a18661b35394d686d7077fcae7b886 100644
--- a/examples/02105/instructor/week2/stones_tests_grade.py
+++ b/examples/02105/instructor/week2/stones_tests_grade.py
@@ -1,4 +1,8 @@
 # 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('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')))
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+<<<<<<< HEAD
+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=')))
+=======
+exec(bz2.decompress(base64.b64decode('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+>>>>>>> c85068a4875f226b74f0770e4dcde373175f7192
diff --git a/examples/02631/instructor/week5/Report1Flat_handin_40_of_40.token b/examples/02631/instructor/week5/Report1Flat_handin_40_of_40.token
new file mode 100644
index 0000000000000000000000000000000000000000..7321e613d9ff3038f3cdedd5e032892f4f7e3d5b
--- /dev/null
+++ b/examples/02631/instructor/week5/Report1Flat_handin_40_of_40.token
@@ -0,0 +1,204 @@
+# This file contains your results. Do not edit its content. Simply upload it as it is.
+---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
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+---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
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\ No newline at end of file
diff --git a/examples/02631/instructor/week5/__pycache__/report1intro.cpython-38.pyc b/examples/02631/instructor/week5/__pycache__/report1intro.cpython-38.pyc
deleted file mode 100644
index ba16d7002f51dee562fcff1bb147d4600de3fb07..0000000000000000000000000000000000000000
Binary files a/examples/02631/instructor/week5/__pycache__/report1intro.cpython-38.pyc and /dev/null differ
diff --git a/examples/02631/instructor/week5/deploy.py b/examples/02631/instructor/week5/deploy.py
index 3457b7fd1275185e0c91b0d3b78182db7b768f0d..f9037ec0dfc270163daa6a0bb609620d9a36e0c4 100644
--- a/examples/02631/instructor/week5/deploy.py
+++ b/examples/02631/instructor/week5/deploy.py
@@ -1,9 +1,9 @@
-from report1intro import Report1Flat
+from looping_tests import Report1Flat
 from unitgrade_private.hidden_create_files import setup_grade_file_report
 from snipper import snip_dir
 
 if __name__ == "__main__":
-    setup_grade_file_report(Report1Flat, minify=False, obfuscate=False, execute=False, with_coverage=True)
+    setup_grade_file_report(Report1Flat, minify=False, obfuscate=False, execute=False, with_coverage=False)
 
     # Deploy the files using snipper: https://gitlab.compute.dtu.dk/tuhe/snipper
     snip_dir(source_dir="", dest_dir="../../students/week5", exclude=['*.token', 'deploy.py'])
diff --git a/examples/02631/instructor/week5/looping.py b/examples/02631/instructor/week5/looping.py
index b88afd5f2e95b860ba838f8ce1492bc851ff54ab..e5663036e0b6614b028f38a9808bab680ebfdd4d 100644
--- a/examples/02631/instructor/week5/looping.py
+++ b/examples/02631/instructor/week5/looping.py
@@ -1,19 +1,19 @@
 import numpy as np
 import itertools
 
-def bacteriaGrowth(n0, alpha, K, N): #!f
+def bacteriaGrowth(n0, alpha, K, N):
     """
     Calculate time until bacteria growth exceed N starting from a population of n0 bacteria.
     hints:
         * You need to update the number of bacteria n0 within a loop
     """
-    if n0 > N:
+    if n0 > N: #!b;permute
         return 0
     for t in itertools.count():
         n0 = (1 + alpha * (1-n0 / K) ) * n0
         if n0 > N:
             break
-    t += 1
+    t += 1 #!b
     return t
 
 def clusterAnalysis(reflectance):
diff --git a/examples/02631/instructor/week5/report1intro.py b/examples/02631/instructor/week5/looping_tests.py
similarity index 100%
rename from examples/02631/instructor/week5/report1intro.py
rename to examples/02631/instructor/week5/looping_tests.py
diff --git a/examples/02631/instructor/week5/looping_tests_grade.py b/examples/02631/instructor/week5/looping_tests_grade.py
new file mode 100644
index 0000000000000000000000000000000000000000..ef885969bf0e7ef3da83a762be7e4808fc972867
--- /dev/null
+++ b/examples/02631/instructor/week5/looping_tests_grade.py
@@ -0,0 +1,4 @@
+# looping_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('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')))
\ No newline at end of file
diff --git a/examples/02631/instructor/week5/report1intro_grade.py b/examples/02631/instructor/week5/report1intro_grade.py
deleted file mode 100644
index 335212aa926b93e9c43ae8dbbeb52007d296cab4..0000000000000000000000000000000000000000
--- a/examples/02631/instructor/week5/report1intro_grade.py
+++ /dev/null
@@ -1,4 +0,0 @@
-# report1intro.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('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')))
\ No newline at end of file
diff --git a/examples/02631/instructor/week5/unitgrade_data/Bacteria.pkl b/examples/02631/instructor/week5/unitgrade_data/Bacteria.pkl
index 703d7a9b626c810bf555748f8a5de1c5886575c6..9d08a890c2465f9371db0b86937148654ad44012 100644
Binary files a/examples/02631/instructor/week5/unitgrade_data/Bacteria.pkl and b/examples/02631/instructor/week5/unitgrade_data/Bacteria.pkl differ
diff --git a/examples/02631/instructor/week5/unitgrade_data/ClusterAnalysis.pkl b/examples/02631/instructor/week5/unitgrade_data/ClusterAnalysis.pkl
index 9069a502a63c321f995ded8c9a84212b92cdeb5d..6fb694a833aa79c0483d98430c25ef22134a9a1f 100644
Binary files a/examples/02631/instructor/week5/unitgrade_data/ClusterAnalysis.pkl and b/examples/02631/instructor/week5/unitgrade_data/ClusterAnalysis.pkl differ
diff --git a/examples/02631/instructor/week5/unitgrade_data/FermentationRate.pkl b/examples/02631/instructor/week5/unitgrade_data/FermentationRate.pkl
index 3d0646ebc545b5e45a3adf481ab44ff0231b59bf..65a8dc84f6ad463bbe62d5f3cd86695fb926fa68 100644
Binary files a/examples/02631/instructor/week5/unitgrade_data/FermentationRate.pkl and b/examples/02631/instructor/week5/unitgrade_data/FermentationRate.pkl differ
diff --git a/examples/02631/instructor/week5/unitgrade_data/RemoveIncomplete.pkl b/examples/02631/instructor/week5/unitgrade_data/RemoveIncomplete.pkl
index 3e0852344f326a5cd96be0db968882489bc67637..3be47a63385c442d4a52c9babccf22a4d1fe8758 100644
Binary files a/examples/02631/instructor/week5/unitgrade_data/RemoveIncomplete.pkl and b/examples/02631/instructor/week5/unitgrade_data/RemoveIncomplete.pkl differ
diff --git a/examples/02631/students/week5/looping.py b/examples/02631/students/week5/looping.py
index 64db4f21b1aa35baa2ad7650bebee649c2581309..5300e85c6bec97710c6e11ee141f89ee3edd2da4 100644
--- a/examples/02631/students/week5/looping.py
+++ b/examples/02631/students/week5/looping.py
@@ -1,14 +1,21 @@
 import numpy as np
 import itertools
 
-def bacteriaGrowth(n0, alpha, K, N): 
+def bacteriaGrowth(n0, alpha, K, N):
     """
     Calculate time until bacteria growth exceed N starting from a population of n0 bacteria.
     hints:
         * You need to update the number of bacteria n0 within a loop
     """
-    # TODO: 7 lines missing.
-    raise NotImplementedError("Implement function body")
+    # TODO: The following lines have been permuted. Can you put them back in order?
+    # t += 1 
+    # if n0 > N: 
+    #     n0 = (1 + alpha * (1-n0 / K) ) * n0
+    #         break
+    # for t in itertools.count():
+    #     if n0 > N:
+    #     return 0
+    raise NotImplementedError("Insert your solution and remove this error.")
     return t
 
 def clusterAnalysis(reflectance):
diff --git a/examples/02631/students/week5/report1intro.py b/examples/02631/students/week5/looping_tests.py
similarity index 100%
rename from examples/02631/students/week5/report1intro.py
rename to examples/02631/students/week5/looping_tests.py
diff --git a/examples/02631/students/week5/looping_tests_grade.py b/examples/02631/students/week5/looping_tests_grade.py
new file mode 100644
index 0000000000000000000000000000000000000000..ef885969bf0e7ef3da83a762be7e4808fc972867
--- /dev/null
+++ b/examples/02631/students/week5/looping_tests_grade.py
@@ -0,0 +1,4 @@
+# looping_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('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')))
\ No newline at end of file
diff --git a/examples/02631/students/week5/unitgrade_data/Bacteria.pkl b/examples/02631/students/week5/unitgrade_data/Bacteria.pkl
index 703d7a9b626c810bf555748f8a5de1c5886575c6..9d08a890c2465f9371db0b86937148654ad44012 100644
Binary files a/examples/02631/students/week5/unitgrade_data/Bacteria.pkl and b/examples/02631/students/week5/unitgrade_data/Bacteria.pkl differ
diff --git a/examples/02631/students/week5/unitgrade_data/ClusterAnalysis.pkl b/examples/02631/students/week5/unitgrade_data/ClusterAnalysis.pkl
index 9069a502a63c321f995ded8c9a84212b92cdeb5d..6fb694a833aa79c0483d98430c25ef22134a9a1f 100644
Binary files a/examples/02631/students/week5/unitgrade_data/ClusterAnalysis.pkl and b/examples/02631/students/week5/unitgrade_data/ClusterAnalysis.pkl differ
diff --git a/examples/02631/students/week5/unitgrade_data/FermentationRate.pkl b/examples/02631/students/week5/unitgrade_data/FermentationRate.pkl
index 3d0646ebc545b5e45a3adf481ab44ff0231b59bf..65a8dc84f6ad463bbe62d5f3cd86695fb926fa68 100644
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diff --git a/examples/02631/students/week5/unitgrade_data/RemoveIncomplete.pkl b/examples/02631/students/week5/unitgrade_data/RemoveIncomplete.pkl
index 3e0852344f326a5cd96be0db968882489bc67637..3be47a63385c442d4a52c9babccf22a4d1fe8758 100644
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diff --git a/examples/algorithms_and_datastructures.py b/examples/algorithms_and_datastructures.py
deleted file mode 100644
index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000
diff --git a/examples/autolab_example_py_upload/instructor/cs102_autolab/Report2_handin_26_of_26.token b/examples/autolab_example_py_upload/instructor/cs102_autolab/Report2_handin_26_of_26.token
new file mode 100644
index 0000000000000000000000000000000000000000..b8cad64942b26d1638e8e92f6ac7491f1335d637
--- /dev/null
+++ b/examples/autolab_example_py_upload/instructor/cs102_autolab/Report2_handin_26_of_26.token
@@ -0,0 +1,329 @@
+# This file contains your results. Do not edit its content. Simply upload it as it is.
+---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
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+---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
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\ No newline at end of file
diff --git a/examples/autolab_example_py_upload/instructor/cs102_autolab/cs105h.tar b/examples/autolab_example_py_upload/instructor/cs102_autolab/cs105h.tar
index 396f5e36905daaa79fe561da41530c166dd0d8a8..3368720c77048821cca3fafda386ac278a23800f 100644
Binary files a/examples/autolab_example_py_upload/instructor/cs102_autolab/cs105h.tar and b/examples/autolab_example_py_upload/instructor/cs102_autolab/cs105h.tar differ
diff --git a/examples/autolab_example_py_upload/instructor/cs102_autolab/report2_test_grade.py b/examples/autolab_example_py_upload/instructor/cs102_autolab/report2_test_grade.py
index 9a316756a4459a4363bdc0d0e5f7a63270fdee40..ad09dd909cb22b1301a98164cf238b0df5182b8f 100644
--- a/examples/autolab_example_py_upload/instructor/cs102_autolab/report2_test_grade.py
+++ b/examples/autolab_example_py_upload/instructor/cs102_autolab/report2_test_grade.py
@@ -1,4 +1,8 @@
 # report2_test.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('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')))
\ No newline at end of file
+<<<<<<< HEAD
+exec(bz2.decompress(base64.b64decode('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')))
+=======
+exec(bz2.decompress(base64.b64decode('QlpoOTFBWSZTWSbmH/kAXkb/gH725FZ7/////+//vv////5gb373vV696vp32fB6B4bPe9777kJUBQPobRgvbK+bCF7aCKQD3s6M97ue6b52PtN59Dre7cKqVUKUUusqooPrezG+vPL3ztaLY+jlwHfb3YAe3uc33333r7vq3IfL7bTyVd931RvveDVA4K69yKvb7Pt7uOfbC2ZRtfZrqTbPuzvudd83ly7zXXjpNBe9p99D1QaA+n23R95y3d971fXe3vkR910ioE+994d7dtPu4Hdtr3fLj2Xu9PvmPqgvve+7fWg+3M+uuz1sLReOk+3l8tew4sN7voPTfc5QvtfbPZ93x18Y23cfK7WjurSDbRc8OlA6a7l17Mc5HHVNR98B55Ym2W8dld9vvvs7bvewvYaXd1c5b0avl9z4EpoggAIEaCNARiaaRpp6JJ6MEmJo09Qeo009RpiNPQCU0CEEIBAmTRqZPJJGnqeJlPU2oGI9Q0aD1NDRoAABIJIQTSJsmqnmShtT9KbaaptDU9TQ0aGg9RpoNAADTTIACTSSEIAmhqaNCan6p+imTyAofqD1NR5RgBN6p6j1PUaHoI00NBEkQg0E0GmgJMBPSZAJMyao9pNTT2qfpqjyT01NGmnqDIDTCTUhJoCDTKZMmEZFPRTejTQpp6CepptQ0GQNqaaAaGgDoQ/IiB7Iggnl/IoH5YAIvtiLIABKSfMosVUVP8/m+TC6qGk/8/r1hH+5LD+l5y5s/ew2Pyf4z+seEHB9fx3pnPbKf5fipg8fdAnaWhMkJk3d/Rrif6VYvNx1xl8cTTdaUvCY/gdsUhjI0V7X0U4yPNqm/M83688JZm+rR745t+7JHN6gZbu6EtInyjE79zs0qFKLXkjUOcouQ5DJylpOZXH5wfwPmSnH5f8L8kCX9vN9Np7cpxFP+NVdS7pdl+xbzr35YKHnw7jp3AB1ATDAwMf+dGWXQYKCip3ooHyMRZAkEkSQESKSRZFkAPrJKKikEFX+JJYRBbf94JQBuIKA0kAVqpSAiIEhyQOOGDo4xJAb0+G9Fe63tTbol9TWGit5y2C7qJ1psJ56QKlAqwSCrLI0VUFFPysKDEVAVSCoMiKqQXLSR/v8v/ffzekPDn0h/L4C9nefRn+Lxxwm05n2w5xLw1oFDDq1G2Qns8LC4IiA6mCW53a1wc/T5b51e/BdZhYnGyFs3iJkTeSXJnkmndmIeZpslPl1mICOu7vTo9rg51357fB1044zUqLMTydJ6NswUvSqD5cZ0RFSj7n/w3JFBTY7DX9K42sLeGf04wf03/6V/UrKdm/wjjsOPGBw/xm18sZh0bFUb+V8Uiv/2bNP+bOKU6WI32vwlCY+pHuT8/ijv9zr+Dt4IvBvrQxgXFx2Hug+NndB9kJw+NbJWz9VnL3rz9KYSEXq9SBFgh02ntgwnKtkf5XxAmf43ZXWqR8nerOHywuR48hE2wCQe31CaMj7uJ1bK0+410FApECzVqPDyZ67xP9sWyxsvM/oqBygO6Q8pSiEWr0giEWIp7cPr6cI6mGxyk0fj9HlLMTQ1Hu8zz+mGnCZ/o83czQy9H123ejpUi/+GHo2k/oHk6dqcXSvZOojSyW3xe1cUWmtiLc3NYpGFYMWJu4ckNSj+9FFTLYnAqk66TYrdgUzm3417zB9Pd2WGO12euxTsuv0kUhyco0yf/DqRZlO2cjQS48MK54PHGyU6x2L34zpSx7MWpcPfxzlwrKTX8U+5LTHXhfiZl3dLFQsIi47ep4Ob9L1flRtnt8pdfXb8+/RmVXvtRnuqyEcxU+cd5Y3+yfb6F0juNP7NKvGx756SYx0NZox029e5hbYhjjTbbyQ3nqIWkjT75iOiF1eMGrJmTC4lOTTPVd7zD7Lr4fXHNNpKE7vlYjZIXjltryzRWzGxhg4pbsq5mhyu1jfwHVfoB6Zb0leP0+k9Em1KboUUWtpKAke4eaQiCQJ1cOOagZDNEWs0k0e9BCZqL1+yvfaThDO9uKxmEhd9KfGoEOqYxMcnNdxt220DG323soSuW10EbK0ZSaYpF3Ok2Z1XRvrRE7zgN8unDaW5hpMyRCEQZijGxcpGwq+cySOgSURg+9NzwKvo3TZJnfbu5KrMlZYz1FIudUYJUwyhMu/K96pA+uJ9evoLdWSJRFfTHCOyA3x+q/fN0I3KG6GNefOHyXc04Z2a3LBZWzYLWdw0gh3ak32g998Pj53GJOYCFIZjF17UFw2pwsQ0+ze5OrNr699btioSNhPJAOO5MOTy9lf/RRjzdFdcYhe4/dUIPlV29ZHODhX+yRITfwBbQXsVwbAjZtiVBO6d58MInJn5J6JHYJmETEfeQGPvvAcZoMhnOMvxTnoUmdmd2Cfm21BkZF+diviNKHvuia3qYYF4k+Imuawd1Pz8LoyZq25j2v19t18epYR4Q4KxyAjeZw1OOwbkG3d2fnONTpyFvyGxRudxXE9ck9NQfTXpzxd6WjqJswmNhy9f5Nm3TSCS0sMr532proeVKNAX5ZM9YmTLZOstp3osW27gj6uhk2Vc7OdtlVt6ibjrr+DEorzeCmWENQ5JzhzdtLTMJ6HS568N7IMnKCj9q3sF7Li22zAgcqVfn88ZYzrv0YwVG365YmiaU7hHEv9blSCXHEj+y4yQqy4Sjhjz1eQduOkjhtnOVvB7Ycswl6sHb8y9hd/XlLHfcVQR27NrhfGgG2pTV6c2y/Lp+5QQrvaO3l+QTiRcWjameDNvJRkEjGrEyA7ybGkBbPc4uJvAvLINSMbYwbL5JnlcWWM4Qc3cEzWlrMGMTyKVKWl2WWWsTSr5bUOmpc14u6wKFoTplSCn1ilPRhFmCjRTB2k3IaRcu+x+UjhG6E1rnCrB2+E948NHztser5nM4uqQO0OXMsTnufiNuMTBUorS7jRpy5GWlNIPRqF1WStmOP4kyL9h9xwUqziwWnGlMBISFaY1HyYvQ91WqLsLcuzo2ZhNXcC2+nY8YlCUstcSwvND6rb0khmQkgwTTrqnsHoSZFMix8Mq8muQWX8+++0u7aVRp6Z6Gne/DdHS67AFqsGVDv+M2Ko0ffv5dOcMkIk6/ELQm+aWlCLIZDvwMzVJZT1coaLl2OfQPfVN9p3StCaKvxnp+GdbN7vRYSNV7omm61so03yxfWc2LjkPwt4nnkdluZvmY9Wq7LgRh8JEymnUp98pFOu13lJGZoTRwmH3NeUPw8NctBzQMxfWZmNmJVqJllZIu11/AW8XDzofN6UdcIK9fPLO6uN5D1Qu8gJt3hIdSmqDizxoHbew7HTffWNlMzEzRMH6JNzU/nDOE+PGu6B1wkPDRunqNdft223fy7b+VzjaD6J2OvFZWoBwSk2ss8WHQU2fCip+vR51KvEYlzNS25lB8eKrE0Y1bGi8Enl8rxli4b00o2kzMfdUBX3fTfKd35/C+VnRGk2yYdRX9FuiQNYuVQt71Y+1Ga/uJRPYtc1R6ghn3+p4+mzU1vmb4GlNHPg95O2zd9MJdRypoKRi/hlfnZOVc20rRn+2aZFCUxr4xjc7Li8rPaVZxpaZZ9sF/u7N+65IxsNAfsWWxyOBEm7WTNlGZa7dtzsxSxfiKv92D5Sv6HMRBc11JRFjzUz4I62U+3Qttp1qlj14BXLOpaYGdbeszMYblOx5z0eaLHJk/GTguyyAdy2qZFxNSSUIiFDI8GsplrDRu5DqM6OLPM9qVpxDeaRa03ZtV3z2yzz8HyjiXlNsd8WaSNJnJ+4rnBVUKlzUA7ju7RJ3Ku2XzhKTu393E0OzMmk9A5P1+x2rXw+Z+Psgt+p4HoktJnOZUodIUsEEB7KuW3GnIiojmU4WFcPkc8jHCZQLQ2wfMdgvrcVuNiVflMHRaFGOk7iIZSX5uYnYohj3A/uI/1rDNb5wefTvPHvNw45MfIKKLEfioUYjBthUU0JphggsUa2Ob/Py585enl6MDigUVyxXsCaG8HC4ICfExHXjtdKxm2xMiRqCwtmrJtNlh0hw1PU7HBkIQs7F7tstiBYjkquA+0psmb1HDVDN3ZomBHPGlzmG2Se0vTTE+CyZumZzQOzO43ggq/FxzY30QFdlBFt4EBZouCLvd267KHYos9EkzVZvQ+TtZrYa5+0xi2UPR+3M+SCRaOLHGc+Exs6Owu2tNL8MYTujAU9upsaWMJa8JGKkRe9MArD3atlwNtCurmrWFSVVLZ0lMm99gbaZk98KEXdkNnveG53CL9LyzSRJg4o+Jl7CuphQ58eLY4pCTk0YxUeGZSdT5uS3zeraXan9UNwjwEShFNOJ9pQ9JSfCOjb09M0hlwRbRPPNcnQq0YM2LJfA8/SqdNySVFYRGmz2Z0vsHNO8MJeGOQdqsEWCtQJN1ypcqX6P6jG8V13b8xDaJxpz1HL2bTZjZ7Ssoa0KI3d2Lk4vDur0nfI1pXwv5aXWdTswGrZaQcbWvyxpSzPDMipaFdsaNNkMILdYW98h3UonkTf4K/mmHw4ZZETSp2u1UEK8JGu8sixFE1HLSHUiMRONrEW4haIwsPY5S96Arg/H6dDlRw626Au1lGvW/C4eV3JVUqbXM+E75yuKybiVHig9oLFaWaavbm8uwmN4LHzJu87tdTbLHXjxrW/KxzUedTkK78NWn/JHSzeCDw+VdWy4mQ1eXproW933+U4JQw4eMWsPLm3c1YjAW3Qztin8XfuVv5d2mnN3onc7ye2rtlEwr41oTRYYsWFhxzD9HcbEOivVEg742HSDsbTB7EZCmJd+98GS4RfieG61iPKL1xGtm4OrXvnv7rxede+myFFOcmG6TTc8WTPDJpMtxGA5qPfVlTR8CVptjpZXAZUeIMbaHoHmmLsLFUkxxPfMrze9BcdIhBaWlUqfhpLkeFoZNxc7lvV2V/rhzplXjtai2sKtt8yt99lemMtrz6HiKJzJ37VjR/zu04fd4dnm+xpsxm5o3UF56Ftr0OssL+9nOAqVuMm+q2ZTkcywJiEBAVZzBxYV5ihrWRcdM/ZTI9cFTuKDlPcZMZSYDh15z/iVOLv5A33flkWenHtYs49/ms35cIiiPOvzR9J79h2BDmA5ChdojzAj5oJiPqcco1zNYfJzreI9dc8LNiTXSOaPQX1wEp+z8sU8jiYDlxkwTJP4Rs8+RVDFaDYtP2bZ0ClKBURkWGuzKd06ihFKvXPu+l/XLtpCi971HF3iFXnI6liO5+h6Sx1knkX7HzHuspl/W6rO9vyXeEe+eKw122lOXDg+6wR4qs7pqP468MVWX2vXxfOPHP7+vP5bxWsdMHgZKLo8d9d761nSz1/Cut1uVL7a8KvS/GtWQsFnTOC31Mj1g4ONwkO3ijEMAvvZsZnbHmFPmOvjwlJxeyU/GV03uwDLYkQHT9E/Rfb9t8dvX15Xk8Xr8oxn1ruo+O1RxzW15054d88c+b79nDJtb13l7J06vS4LlKGXHw9SjFkLtE0DDnl1j3595TYJWRGCilRahwNQCpg2Rj4jaHIhe378RjMn0lUu5uYIqqliKxUZbVuqk9SU7vZ9yxON64c1HhnoenjVPuz5ba+98MEYq1dP3/r1Mu7HFsnRzIB2zWaCIcgWAsZ5l/pyFFVmzti1jdyhiMTTokTAcSt0TBO4/4J/WhWB9Dx7pdLtKRQ2zOE1KB1aHVppp2lL91RhfuExeXeXwob5UjLosVQQcP0aatcX+39H22xjZRTpG4ndzbTSlET+IRCR+m8E3cPBypKhGL0P91ZjZRrBWBpiP58XEw9E3Ki3HvMU7yYFMD4a1tlMnTnw6/SmzuKyounjLknxh8N3OyFP7No0TtA+Io/qPL8XEsYFJ+oxKT1e/0fh/Yh6M/cTD3/JfEU4QCsDdZHIhICVbV+mEq4hnkfC/0mk3/D26URVVVYgcrIGrVnpKdeWQqJzjKMixVVZDbiwDhDjjbEM7vBzA0LPuqikFD70ZK9FSsxtstsq2xiFWMkqslZViAVBQr/naYZmQFh14P0eZa4g4iOpU0cwtRGT5vpDcxAYyYeVkwDIYSRFQUiMkuIbqqN5DGbeYcWNEaxziXYnIaRpqd3NVFNfevn9NndttNtS5/vrppO6p+3kqN2SEm3nOKZGpqEtKoZfUlIsFmrzTqDblblg7NsePsYfqTqnT0ah88uqlTMVs/ChbVcFFvjCvveTBdzP6pcxnMMlGckNl2i1VOtVcEw8O8XLpK5O+Xc1Sh+ZiouEjk7eCLmqfqxtJxNfslSfRXGUsyBDgSyGtJE6/Sco/mDJz3ZIwaPsCJbgQeHODRkfDVY7vdFKDmMPiJcSqD1FgiTwmbyhk1TDM5D4RmkN6jaViUsOHkYlZUhgXQ2cjuCxDvMhtDu7bS6fJm9D1nv9twSZamgjORyXZku1KFN6nBHN76mDG5BY4wJOtSiwwEHRmRMOIfo2XbP8bWUcukXV+4p7IoW7vQr7Z4rdrLy8EVY1Ne00LjG0VhiQVJfxCbQ1xHx56j6TMxnQHLnNbgvBElXG8z/LsFwcCHeVE3h6l3wzndOTfJOSPWvWZwNlRGh1LOLX3lj2QRnENJEucRYnm5er4qohkdhuvchy3O3PX38WTreMkJzUWVMbyz03cusFpi+1ZpseSb6ndNOKkQ+cRKCfspz6+BO1Qr9JjtrrjRbTe6ooHI1ccYLrkgfJdCx1qBEHoQV6C9mvBGz3TSOm0+j5jksjo+sE/xfs/DNHdzmevSyil+1OVcsq8bp+EnJaVi935rz+tyr4+F3jTp66QLReEP6S/ZKZWvRdlaxH2WSUUnXwe6FMKF/pf79Tnf9cYPabx3ydMLoTLz7B7FDhL9mcdJj9ek/NJTfGV3yZ49JxxgysfDfaHoyx6EP5KTMW4bvd9rgv3OexN0XCHsWXdreZY68nh0rEOmCiyF8hZqHW3aHlK4n5LyXIwngP3fDmw5WWTLpLts2apTdEPK8kWlOUrIfo8Htf38vwY9flVQiVzL9O9QbqdIyZiAqVzxL6PP/m/0q28vpJIVXnOSv2d88r9dbbmtWGp4SNgyK1JR/Pt4wkxSTjs4UX857+64wzp3HMOfAkjUcJ+Nj1Dgwg4HLmQ3DZyAgtiqaJuxjdztM8JisvLvCVI+vSX3Yk+5P63Xf3RrioDYrGp2RT+16OXraecPVPPPymRcU/A9dHmbRpTvQoYiHZJDuhFImZxI0d6HlCQ7kRuZmuKHfrraXJteraLnCw9RGKhQ7R7VVleGumpbqh/hwXrbhmQQZnQjDGaLv9/Sk7qcJGufTGTolK93rN//MXHOyi7JOl9r5xKSw5HqomHl3hdPH5/VGNBV5lZXVfVb9w+cZcc16V2VFJT9HIWlzGv8kb1q/HDl+3q+0qnPgq29IO3BuC+hcrx0jOpcLCPoeVOFZcU6rKOPhcQdtlkRk+181CW808Q/dPwUHR9rd0tQ2V8FXGdu/FbrzU/F68/n9cduevvyVHTu8jBWVjiXKmKzUzD/ZEz0qV3vvvg6cR85s8tOwOKvn64rlXZXM+h4ZtbQ8Ze7iBukz1keChU5PvVQ7ogT/ThHnfuwrGCpwWFJ9Np9LHmnVp9Zn2QT0fqIucPGdtXd/UiIxE1NUQnbuxMUefuxJvfvxv0e87RWq6jw/u05lAqvz29dk7Itep5l3SEglh16wUPp5ty4TuyCNd4ASaRPc+0kzHvXt06IUhmIXkzRRvCUmzz2Am1kzGCyogZCYOzCfCWvjWKJemJEBXjPpp8O5guYblIR/j4G3RInQG3sdMyZvXv3zOENevjnwuSLW3Puor28D5FnJBDl5dlxRaSY/Fv6NlbCbrK9F0481vJ+6Jnt3LDL9/Znupf4vG77lva30Ikn4W5scVD0379lbbL0Ws/khqt6G32j5Iiu7AEz3YLn2BX4bBfbodCvZmv4rbM5vixguOTmNlSyvE+Glkq4yUQyvJMTUp+/U1pfm7oRpx066cuSbPPv7mMyN6yeY29ZPfEqQcdhT4+GWOKxqIeyDswz7pGF04DkrlHi/ui2d+OGNhT0/Y6tOdqc00pp2VOIIvsfGo7Gc6GQSzxh53PMlI3LWnE+WOMiXWoY9MaJaUb7Hqw0nQWc9wwJ56VMG66bOT2ghrlKIcjqhXiiCWQOmTDbG2IVjiNO2zZd3fUvsH5RybCRYSwmeFk6fDOzFPdpQ8GwtLqOPvyMZTtt8/aqayt7bLb8p+PT8g6MRFjnqv9Gz44jt3oxMu7Gkzhx3wWHNm+Pftf1vwzzItLLiRRyeJZxk0kEh+caeh+lrBnjY07MCAwO2y0kJ/Eo0m59iPNfItRrVwuQ0Iubvzs4E3spw18aNgbcIbpr7WPakmZ/u2liJ5XKMyiA1+dkP6LvwIdWQekiwkdhzJt88CTc05Pe33nYWgdnS20LEeFBtycgsEYXns/Mr9z0pieSRxxO+/Mz+Ii/nteM5Qqd11KduSYUx37dOmYfM4w+Bde1b3kl6v3a0n0x3cWVD+UX7teUPYe8fFFEw5cYncc35UaDL1t7vYJDufL4hie06cMw1EbiBt0NDCgGq7cG0QVk8yBUk/m8eCn1eL+usfjefdk0YTrEF3xVpUtLOaMIzrE418M/hWdm43vfbfjvqWXxHSQI+icZISSSYHODCFkbnQW0fMpfTxQEs0yOhFhhUZxFwEpWyuMcsFHfrV1jiK0GmuhJQTEmJDDi2IcbqFm7JvbDSSHMps6NYQp7Oy3NwC94uD6wMIUDhCPJGJ+AaXkORcx1xAkR59ZWOOspLYpncsljK5c/t9Po3GjYL/FKc0PWO4o7M8i44hQ1RBgZC7WQuRVqn3ImYXWItEzCCUz7pyEzcOopkIVQpeVJcS6CGbgs2JBgwVPY3BDNMEKZXYZzbc+i7ZgadTJmVMyNBaBO2LRyLh2nIPkLa0GEkCEg+Jo0HtuwE3ZnO9uQ3kkMQObXkoI2NhywTCLD2c2Uc7mVAXOfSUaVuhSUhP1G+X3w6ky1Qzz1B5pWeVUr5Vy+idVRkmBVCn2OdTmPqyEFjnbxUWolJzr04g4QvDDDNc1+QNZ8d/fvuRy9nuMvncxqeeECQhVKQ3UTUOTFIZEx255MAhyxFYE8edqnp6aviDWfQXuyWKdgJg59cyyBiDcTaJERt2ufDI4eAHm1OB3aMUyPrZjAO87tWBQDg/EKXFAhji7NDD3HVrJHwy+IW2FgQ3kxs0MfnC3iFx+JuS/MfdIDm/Sh/UvGnzHnA6ZUnBb9rDxmitiGhEiQTP3aQK3w/cQqRmhMg+jdiqFXkcBxR8M034t2RgCblsA4t6uAwJytIhWFAvqSq90Q02NNEZNihj/YKew4GHzHVUwfgmSYagpXMQGHq68Dzj6/fb5rLHm7RtPwqpzlU9r1tfrVVrE87UUusEJ/vy+q9RNJkrTCDAJHbyZJJRVE9CVUpaPmPwZ6XGMERYs0UTIdoQ3bzsoFKLs3J5LDi3E2kRN2W50KWSSZPiOQJDJpMwYM25acgu/0xl5M+Xa575FbXclf4h9D/R84nMQUvfYTdylJDj5WyM8L8Y8AeYWR5eAev18vb2be6/VlnftO2qRRGMWMe4KpiMREo0wr8F7LDTIUmeLW8PR07Rgoc9Bv4d3fOwXloHg1Qa/Lm68A58qhS08FY7rFL3BZwRRD8LFweae7lLrXs86xeoIWn9kGcaijUDxYVJmDGcYfTzLk6is99NoS2fRGsmphVSEJIWZWoqlW0s1xmZw75lVvBOneCZtEZE94Se5K1kxaWM3FLVxEZzrGIyYyhIWU8qZkFl6nDw6tJFj5doeXKzTJEJDojNXmSXRiM6hIaBZWrjDkZWHKyVDamEszeZh8WpvBGMznA71M6t3eKewWqebqbrOMY6+Hi6HfvDG9ydzhLhHXQjaR7FEFQYsVPp3pgzUJkuqNEmSODY222+mBmGRAVEyB3AIVvQxhANcKcvuZ6HQ2ajqcENIRociaMk69Ryju3Y3OYrBin2VUB1NCoxVdRvrr0GwoIsU4G0se21IC6vjrQaArKtpG56q+q88Obpa9bmdx+UPv29PRLnPBvp+EI1tMPUUdcWd+J567ZN2eEkRVVvsQ9xO+rSWHzNu2FurUU+FZGqTuSkkRGN9sxtgsxeYIxcnomwkmHYzrOTOKlbal4u0jaaqmMNqDvDF5y/DauJK2yr5s5W1CrY0aLwConhiljV+2wTvF1k1vvmVKfedYnEzjchRmbQLUQnXPTNkJ6rP97dHXmQE7Ow7spuaSt5mJo2zigSwwwcc7lbo6Jp4N9GVtZuUYnUmVG7uZzHga72kDPhMTPTHCIpMaGOUIWzw2mFuhqyhxdFlEJJuUTU1dQ477VqdZ+o42xnsf06A3OXZwVAixcNrmP2IOC7Dr12L/z4M24hhJg6fYOw/OgeCDIjA9YchDs0agwcmegBz2d9rqu5WN8IdyHHDfhyrOWq8a27OKSRsar5e4M4yzNSbyZhbMDtp43eqdhtO7XeYDG6WFm05QddVLyZ4231vrlMZTCTU6TBl2Oj31+IWf8l9qSPrf9UfdfLw+l7Uf3/e/wtwVJJ6r8I+6Lin3qBsPQiL5EqOpN74cAvHPeiEjuHIf5yY/Ofy+n0n3u3fsdfozxfC7dqv9n90eDF5XVPezRkG5Gvh78yP8gf8Bo9w+wiZKQ85p6kTsi8omuAdG3SWKnhHtTs0Z89+nMrTmWtO1kl2zFioivbtS2tvZNOQeKBUnwJDphYo8lS9tbYpy1k+XX11O6FMdnxpyzsKYTJI28cqD9aL5ThhGUu4txkGRuOM9G1dkxXu53W70tTzNGDzQ4rd0lPP0xJesfKdTVXu92T3R2kejGMfJT/Yv7/5NX6fCliynKJXJiWEoVJPGI5y7/0r+gEJYo40LlY23sH835cUIoR/LQRqAskqv5iywP1Jo1SjcC9CyALIjUFvCREqJIiLBxpJFIQqChjAxkRFJAwVFsS1qlXCwDaIHgaNYef0SNyO79OOWPLLcrVDYOS6PYM0X32tITFDLU76+e1WX6VvmawaMM3Hq/jW52XKdGwj7URJ4R9qjmKUyU5EvLVguaeoIr+tHcXnBi1h8YLhVKHwZRDzMeO0zrFwoTxVsMnOSvra8XtgJi++tKwVYnXEJy5I/Wa5QWcsDI7+nlvYJsRqq9S7MCbbXbLWzakT8LdbJ32rfxybML3QzmdhFiUZfquMG7Z2GlhbW+CS1LzuiiU+HyIsmKbsYuXHod2U+fSpjO2DQh9ryNMifJaD0DGTZOm2pwVLpbvnd6JJQffjJR9pxGMRKLYQU1adXhMpHGQl8avlqtPNY8fsB16TZG35IF58/7D5f+v5j8mlRrhwcuFMk6SZSPi5sBkzoj/jATPsK6N9V/PIuGegSTFSfM2HgDa5mUT0ned+z/0T79pnD3+Pxj12qqQVV8DLcQ28AtPTKCiWn0GJ+9H9h8O1w/BJcP8r6h4/mxzGDroQO0GikSsBGDATblPlxaIJBAPUe08ShCEP53gelsi7/34U8UfuzyP+oSBwgdHVndMKwshB2h2mPeJDTqmSZMeJkRAbAGmInP7f8w9TwVP21NS0pZd3vAPMekuGGKBRU1CQyKKPMuM4dynAMAXuWRCRIQCIAaeeg7ua5nfVmh9p5fo4juOdnwpiWt/ILDgDsNqEHjCTGkFTpKf0cxQ547+rY1idOIIwWTIvUI/pXKa1BiPrzOrQSKYnHz/H4hu6N5u1PfA+SHWEgQuHJicPXTfRICfzelmi8yPMSMK0L7tl/J82/zMhCQkVVAjkXPGEsJgbn4BkgYsYXMyGdNJCBUpiRFYW+sqwlz1q6y5cVR4FCQjCejtCqYPxOWqqrM2C9sJ9wwyTrpflChWLEkXHwJR3jsVPy1Jnvsbp/tHZxc2RC/TQ0sUQ3191gJuvt5Zpb9TJh5J/NNH01wsmF+pCuEhpyNcUdNFpqv7ltqDs4tmQQL1V3BA2YkZHtIdUq8cISSTKR+ayRQYks98xmS/7Z5M9Unyk//c6Fnk7r9nbdLn21X60kncd5NmvJGQghWWWRHZOCZgCM8SSlbCd58JRHv6SM5+s1j43N+6n9F/azN0w4nHz9dIJaXkrmfpd2pkYOJ/5Wh/wcL+BT066z6evMMs9a5Z4HBTwNU534vCAfvgwEXxtEYIHihunR4vqd1WB/r/2QkO/5WtLxYbcnFIQ6R+Pl6gwJYoGQGg/l7ntPRRTsF6a8HraLtu3yuHom50fOTVSFaJ+3VzVDtfycqUkhCQzSmAdHGuYIZJAZpxp+D2sr2IfClfV+PirP1IxOAWn3/Hd3mpteEvdOO7lkqzt7smLrug21Ed0cw9i3IeMqk6JX7YKg57rT8TSSDhFoen7ruF9yx0cnjM1JHL3xSiKLu3faB7q9qYJEsd2yuLjebctXOTqpKOxk4cyQeWjffvQ1226kU3h4/y7ap94dJQpc0pcQUqWy5TI6Ozo3VA6MjOO++rJeOeL5OXfuo+c0Nr2ZbHp7+EM8vjuC6hYR0IfgcejURhW/Z46IqjnhSGuHvLj7q98PA6ploiGwgjmmhNbuCbmIhJXdeldOmPJEiYzmpjl/23yKBJPWHicbxHo7HOJIriCGm43xUNDidtnjKOBD068a0Txb3d3Lr+V4mtWwnzUzFxT5W0pS5Ux0h1T5SRnt6iKBdB9oSHWKcPy54LkUbQcpTpQa2xHO22CVhxx+HMz2banGfTvPLYqqo/HfTlRRZ329hSwr1bZrz/RTr3LwkRFAfkavbbNrSY+LDmzhmyOX7cOt0mlI+xu6fhTPVS/i77jvZX2sKvRryEvTlvz2Nn9hl9VDtcOlLOorrJgvwWjq3o3a/Qni9m1RBWfB5YHUgKaE2q2bIMR7I8jbBmdryonnUJCWxUECZIStM4ulKQRizZqLsOOKPZlkvTWetvRqI4aDmSUgqa91s70vRo7ufPAX2VrzpWO2FTkKVh5HZ74KAojrtE4dcso1H1NNQRJFxOY5PA60mVKHchrRXN7Enn4u7T6v51sj0fdfXtTJK4hpR7+9/BNwJGXwnVZ3lSNSb1PHrlikShZiPy+W0HOOM5q0Fr1HOIJv9kcS4lL6gS2Q8p2yldVQeqd8DGFtz4nfyc9RCq3JN+1Nbe9uj58qR6FXfhwkNW3vi+xSurP15wxRNLxcMpuE5uydOJFEzo5o90duEhX8CGbsTAHkml3odcaxilthKqdU9xS74j9lEF/F8LK9Pve192Yq+11zN9/nu2IAdlh7PZl3cMlOtZWSLNqz7i22l7W0aRI7ejsez/h5R5Q9VhVqInjb+bhPHQruXvyHa7Yei+k+U2Pnsta1OQ20EWO09FVGUhyL2O7S1YHHnja8z/B+DdegZIv3c9uRvpSK3vNFeXP+ee91a28eXKtKxp7OdpU2TWIe/NfOccTSh1nefC3rvItHtOYpOJBS5hRlACv8P14itIR+N70UXNNIPOsY/dPdLLzAPawhXGTui04kxDEK4pUtrcWMaxi04eISGqO9PpSk+jmcBaMisAG9ERkrKeiaDNcxPWewgwLhQBQaArwD7gxEe3IGBu8k/k0FIOm24o4TFpgpkzWO1xCaoRFGh0IBA9ypiMWX1t8w9IIPPGkdNQWQUdpNIeAfgJu2Q8xgPjL3h1F1ioKgamE2h9IFpLIsms9x0ZBuIeJNQb756RXiBRPigkufWfp0TeRz01WziXgaZhvMCJtD5tYmY/M7yPMORnHUOYZ9tUcD3JDsTp0XNgmzAkNTCmmWN48BycFdhCBFd67HZ6fMXcKWKIx3Dq6w8jAZChQ/c6BLOk1Ubgz2Kop2CF5Msqk2lTytA4bSgTQa2FgChWh7dJ4WIHcHiZBtDLJyTlKhrRxAgwKSBaahLByMznDAcSCvUD9JAChdCwPjEgaVyTU56esL2t15DRkdIWd4x7OriYvMGgb898wbOeDIVt2GvnHRUqDRCJkTijNVBTNQXImAUjLSUHeFemM4QWHt8OAh3fOuMtfOaBdFjBBFBSXdawhCHiByApXEDoTqbjc3ckoOJx3HGGOGJ+4KDALm2jVZaSJE2l6Re2BaX/Qhb2lRQyEYiIfN9pf2MRyWvd7B0Q2JpUdJ3EJz85Rd6oUcqQPLblZiBRkHgprPFT74QgKwgIHSks3RWHq/rkKNDPdJ4eyx8Wo9ZyiD+ZtY12tIWBYpFiDBQWAecNHcJvVQB2hIYkmQsEQGROEubzoQr2mgEGCK3QpcJFVYFEBAYy0rC/1bBtO8FUQFVRJIH8SkdHbIXCFSCmuyoWg8LhrVzDWx0V2CMme8fZT4P7E0WjCwPoKAjDvFdRicMFQcdICoSPYV8EtnE1aOzLwlx9XQgZHBhiVkdZRmTZCozYlXbLiXOR1h1pABunBFI/3c6cbSd5TYY8U1Cbw/IouSAUQWKSLEYxIQpQoWBxxJO5qMYkYx7y5LFJwR24Cv2ECEkBPJ650ENOgEsIZzb+fowM2aZzJNQoTV0jNF0moXWlPIQlWarneC61OxNil4C7CHpTum4GX1AXYgbptsfSIgnacwdx51QEDuZWJMmKsYPMJkAPZsf6oW6ZEvOYOSRP5BBTekQiEiDVJQ6siA4GWYRDtSCNSMMIWnMvEF91nr0Q2BGD1q2YuDZEIlgyO4Emp2HmQGMBREAUAQECDANHFF+11dAbACzFX5opYPs/PhqC9DQ7o0EJADwTY2CbRqIHfRc9pi4WkwUSOV+JfiWNJZ9ZO3DxuFyzD2N8QgMhofLFzbYYMNLI3Tepbku0mxnJQHmT2oskAUh+jtkLOROo5q9fRbC4XZmvBc4rwLChWhDEyO8FxoD1BpAt0n6+RREr6ku+rb1jrqqW+4f6gi7lD5IB6bSDVSHNCFi00PSa/T4D2aKpxsPgUh94mM/eyGb+EdPHFfKHGC9WkRGjQyfFh9ACz8PyT6f1R/qfCF/XSePOHhwT02ZfweHcPlxvD0kzPJlV/nMtPRfyI0+YnwxjobKINCkn/zAu75/fpruQqIembW3Y+CUo/ck0wXAuKU7CG/sn/XpwU1j9A5A5vOksFUh15hhFIgG8994Db3h7JJfaHzfr8LfPMQ1yEPI4GEE1DgDFG5CYDoHQm8Ph7y1Fll0TgqTKCq31TgeeE62B+sQfxjB6AR9HrITHsUmWVPcjz5u+EBoSDf7UG4nWzO7UD/7ZUXKslBEgKjpDSDqkNMQ/WJOAxoGt+BtdCmJrBZVRHDWw6SMaB+hE7tjh8MJIUDb2e2fSwOP5rK2fF6xgHM+UPRMEmoiyZWFB62W0kxyb9cn4pJMjEMhFFAl+gBQns3ndNsQ2aQ3qLcNRAgMnz8IFfduTxqxpBXaeYNRQHArOqhYMgggEQwklP1Wzt9BD9KTmNdfiehkaZUcgBh80dzFhyb0koYSEHA7lEOzriJ7/jC51bPfYCNjEL0RvIXaRaC8me5Gy6jvrESBhQVoLFETsD5nAZ0lxwT6zgIUQm5PpwoiCbbpfF0IbkgeqQoTeH/wMrQPRR/299aUZIayFIZlaYmpQNc8QuDJK+CieCJFEWEQFYIeBQpxShbI284S0uehLWWGQHp1nA3Wx7DLTZfmA20Rrqd61RurAp02egxSSRFCZcMckCJNRl1DNNG1KGnCDeQLttUSQG0sr06DBhjCZkZUDLQj0/j0lQ2srNrcaDIZ8Dwu9sI8OJiab9gbg3W06EgOEYyy6s20o297kxyQMLR24couXGiO/0RrMKDwoy75OGKSCsVcicDy/UbGQR/o/cPqn/goIKCmwdQG9INLAseU6iiWQcmEyDDoqdaBsAYOItiKUEGml8ksvR2nhH5PityDvwfUyQMhaVirfjgYgz74zrk0D4MId7YfGmKMzKUXIhUBhKzARGoZEwBLIJUmOSYDCkTYOw/GJRFYfcdeKujtJDTJPD6nMRMyK2luXFHMcmNRC2trcwq5So2yRtn3NT636RPX2nEdZKDc0mC+Gw8xFqCTzjd5w30cTp6z/UXN2+tn25P/UqqFsMJvyAguXcFz5Du6BI6WzL3KC+ECjrD3k1nCcOIlWoyJ/H4FE+4IHW6wk6xbV30PfqBwTXrPsCBh+T/Dga0z7a6pYO8KoUBCwxYCcemxoE7Qkju7isyZUcx1CKb65gsC0Iyiib8OT1lgsJ9YnhiGkcY0SCZmaQkgg0I0W1MfLj3Ht9cd0+uPy7U9/E9+G9bCz69OZrGA3oy1PZov7tmKpMWVNJtGw8WbDvJP0TluIxZY+64w5ZjESmwiEbZcdNJl6SQIRwz6M+m2aWGTmCOY2GbFi4Th0j4qG2MtxwZggRRjfHxxC1+t4yz5bZGlxp+eHG2fg44OLDhk1qduAcw2pyDoawdTQSK1tk386Pz1u2kYVeeUGjGyUscdCjikFpnc+/U1Zk1jEhhECS0nyjGGjMUb8b9jT3o7Im/ccYva3aMzFF5SxIgphXO8xgdXBaawCmOMG9TmcLbIrLg3l6bZEtDq7OGREkYcmt2ghNwGzhSYOyaw02M7xLZmeX1RYiHy1a7tW7Ikoexdy0dYJDhCC99lmB2HbeJth87ud157a4smQQHRjTeBN/Cx+XXJHLN18Kk5Wue0NGWZ+ooWza++djV8Q7LL00B2hFEnfvbNyb6aKQj2hR6MpH0HhOd4Zv1iyWmbY8NiFWhFNvcWZggvA8BZOJMFFiaXeiWQSQE0uxWeNrxPG2zLBQoC2N3kaaKJHTVEaum3xn4LJq3xqCCUOd6ZngH2TLbfFVgitA7OiEQOndPT1EpNMErJSVwt4rGduONYTKjed61xttqqUIgd8ojBlEEXWpxi4Lj2bS2VSBGnYQhP0d95WtukacHoyrw5I9KIbKgak+KrQRbgoKY2xCwCyi7FtESiYqC6o7mSbDvbtz4uC0/OPdH/dbt3eXFdX2m6EV37tHbGQ8CNOxyyJBCiy8J1cpduvL1QxVMWBHg2xY2QVM3cFs2ARwHFUmTAZgrMyTaaA0g/RF5A0aBh8v3phcxnNOqBvHfBrRlHxWca12WpN3dNM1ye57tGpnDydIskzLCdWjFP4YMqLTYFp9xUiXUrJv3zhehDp047rJtCQGZZ3WdUaK64zkzfeJchjVte05nRhm9bHA4bB3hqQQm5RsuWfhG8EzreaRYqHlCPc3OFlds41D6oIV8qiGJyl1qVq6d3JvUTqaV81GXl1xNxmhVRRavKNao4JfTeqVn6r5thYwEgIyLJcNsyhnCgzC4GKZwYRKNjkOABcYrCQQ3BQR3mK6FiYhoDIEsDdLBkXQaSkERyU0EQfvpmHQ2FUbgzbgSwocd4RGWRC+BlG0pBLTSONf3D7LoI0v4NiCpoMi3ykOoCLwNJmg4rtFPyiH99okCQhBEUGJUx+jMGUQRUhNhaBr1Bsixh3RoTCq/ubMTi7lWRKuhxdHk+F1AtYtoEYWmWJjGNQ5YVA81QUFuQib8k7DTE0ihHPucTSvOMrAvA1IZo6Cb1BBPv5EzOEO83Aq9RE0OToHKzIOx5igMHmOYLFmZiQ+GPssSHHGx2SQAl/kM85x5jX5w3CQP94QdKGSJ++I/Kakda/UdRlB1HTCERLdc5JwLmLzEnFkBSbMZIZjuUCpLb2WPmdbM9t6goJg0okoIkkohURLAKQArhHUe09hlANCP07SfM010UY0E9ZPzS9sWYPOwUcxOHH8bF8BBxS0KEBIjvcAmNvhKl1DeIzAnLDPqA5pembFbHBxiIxFaw0+aIRtwuuQWgkgdIgEiMBQgVhtVcBzH0hiuREy8Sd2s/N6sOrHv4WKCuPUVMR2wYSvBT1HjEiKwxAmHNw9ZCgc2Cz+pMIg40jJtxRnwoAs200BsYYhiCswVi8LXnMdFYYJgawsRcxXrTiGscCRurgAWMitKUf7sjbkXVO8hx3BIQdw2LP0foqYV4wIFMkZOc27eFiQZNMaEzVP5kRTaiPeyy0MSh+3n4nrwq8plvw5xN2ZzUoe1BZJOoahGB3P0AZ+hIUIuzda1sz4A+LKkzsnWw2HSNW4cK6fRcOTNx9jlbXqfbFIy5oG0YLIcG5N5A31ka15XjfOLLhSbbqtCianNcjJszXlu1Y1Xo6p8UiDGZ3IUJA0pDZOLKApERQA4JYTUD76ChO0lClRghFgskVgkEfN66sRNiCGjmEyBgalJdQ+YBBFhEANuXgn8pZRH3f8sDAWCDIeiNm42R2QmYIwKRreKUeMLLzYWeFgfnJIQWC7gLuHGn+zwuIb0AOaKxwC5YD37Dpgwh6o8PNirZjwhcT+Md4N3gQMQ9KfclZ6+1/D+GGkfjNTaHQPoFBWF77EpSVL5wJ8kJGTYyFE5I/5ERD4HT39s6sr/F5HqPaBR1xDUAFrjYgyyiWCMVpSsKlghWQaBMymM7DTcZJNCjBEtojACqISiBSygKJbCxVjCRgxFUZFltrQKH68EtBjEUTBJjKMMSxhT27fUbZi5FRWW/lMv4Rs7Q5Rp3chAhTZXqwA2QJ3CEhDGSCIBOhgYrZVe+u6VY/0/t/CH6oxIkxBNLMTVzFnfP6YcCPj9VMi90iGpK6A/pfEzAOI9kCEkUAhnNB2DozfELx/tvIXuuPu+xvo6ooMNMRug1AN+Hw+0gdxevid/rTkDvHpMdZKW49qR6JqaG6PWUYzoMpdUGm2t2jTfvmAFNAiRGM5tOC6jpJREYP2FNE+D0Gcf8xsYqxFZEi6E4JuHPO/KMeRHozk+g8rKKl+yn2fybGX11btT+v33dN0x+ji7ZRayCGxzzE1bAvKzwBOpDwFSHs8+M6/6r0saUYwM5nWCO0+kdjgmkuB/Qg3OEpScEuCqeg0h0Do6DGddZsX6frPOek2j50haivbKhaqF2jAophYVkh73SSYRiAkVTvRFL2m4ecKC0woTYaoQcSYlwY7bCAWHmw69pYId0kDpjgLkERjFRzLB6SZzJkPFhtPJEGD25iMQwC0QMGHLzYmBvHg6TPXWZZdyGQ9KyxgOq2ywhTQM4vdz2tO0gcIFDSECBF3FtoUiOwwL6TYggkIskEQS9Qhr4F00s9G+0snEtF8Y0ZgVUjSCMkPedYxKpoTfghqCkhGbMbWWeI2YMgIWWdk3DUNdaEmt3mzDHH1uhRcspATBFlPw8w/OyfiQMXaSgdUgmmFQCosqKKVjaIFrEBiSCgpUKIREBEWgshPOCQCgrJCc+ZvzJ+naCxGAie4PtOwDcDcnX0Bk4rEA1haLJAlo7kKiFbfYd45Dl0znmlS5oEt2dtYryebs9VzlmUr+vRQdMNcVEiqgxjEZFVUG9ZrxNIDCQ1pD3YQhqAKT7FiRb0KtsoPcc6TAOzUOGRc9cT96bSiqKFo6i1gTuC5+Pv0wKB9YB9aVrILITFG6UQD2nQd59o30fMK5faBIkSIHedHUc/bge2RAzJMEjidcTZhNI9OvEY+TcGNPsW9m3i8Hd5oPmH5E4NZcuNx2X8Jowx0VlL7uMx0MqqfHyxMtJFZxUz++7pXhswNNzDQXimJypguHB04koe8zEJOO6u6icOOlb6RHm7XQLBRywrFFhR2eHnqs0myQW766tO12dyY4lJiTsFPWeFBvOC/MNh9ty4+9e1dL7L6g1ifAMyCHeB8I4oJCIPpgH9pBFcIawgjv8UDTMgxAtAkV4eo5BvwUE/W+z5cFAYXb7j2QsB8xiKpR2pcblynY1axhRjla2FLZbSss+aymWKCiwtuxA/aNTomSQ/OXvZICge5AgooKQntYdMEuzvPjlmEFJnKFMNMGCEPf5Hgd4PYIDi1QYr3lENpgExOOcNZS9SGczVNImiItCrqD3mGrRysek6u2imBzeBa02qJTP421fwmLufNP+JnlQsNbYeSfi+rWMbYUMNgFjry01SWDBffMSCmOgwCywxpcOfp4A9Js/mnDEYvFgdEqDaOaEDQ/WmemLCJLkEJJsQjiRQkFJEgkh9gluDY194tA0icwt1qesSFGHee2Q2PTF53tSuRnwaLuE7hgRBAVgsUFEVVRQZFjEZIEECKRIMUIkAYnHPiRU/cn/8g0PW+6w6C3JIYKB2IB7tZAKQOwENgIc8YsYjCRfKkKJFIKyIwVWCxFBI+cPih6J5yTtBpcUOceQlL6/OvnIhRJN/ahZHDfDbKICNwYOQGEnQy98XLAzAwOeO+EqGdL+8Ty9Wg3gfdKqiZaVDnAH9BEPYQd2e3dzQuPaih+g50PDeeY3a3ci6woyoKHSo/jrzEuHgeUNOghCAH1/Px3UeUiResF3HrDA5/LVtLJcuUWIEZIuJjeYFYG5J1hDJup8QZhZVfNY+ySKmkKAxQtFUMC59RvUoPLbTIqiJ8QlFtZhDmDMNp0B8DsuRmkWtfg4Q2IH7WYijNGnDYW9k6u56XUyOEvx1ypho2IuZDETIxnvJ3mTIuJvgz5YqMMTCjKJugYiX5ykwGcas+9dYE5RKg7Jnxb7JU3qTlO0S9KZwsQVHashgzzOYhVuTi54K3Mi4ef1OcOyZH2qEhF9Ut3ZsAgQ9znZrROwSwNCDhG1203yHbZ9B3n2tjl/e5gZAaIUeqJEiOzx0bE84xF+IHDpjser7uuAIgMQUGKoJGCEBBgefmb/39kvq8fup/cgnKIbRsAH1MhmJYkHUOteKZIqg1qQ1D0epz43G3cNU87TYqCW0Sqy0q1Jo2uaoRXfMQ9dFL+0Nk4TdTC7ZQijbCjoSVdFS2sRRJRhFKqWJFG2Fas3Sg8BQZNSm4ixLrJFSiUK0sGpUtOXG5vtRkwRZkAIFEiBMoExCx+coQTkNpknl687mrU6oA9C6oAhHQEF4mQasZuZpgRCpIGlINvbzA847TEcSlQB5z5HSQYc7RjguYnA9RR5psLBAslBaDX3d3zBi5hGGngBoXRptIqCgsOGoKHvvaxtITm6znlMQHCOurEREWRTgDC6N6CHEZsmFqEQaXgGu37PMrPAL5MCpMKr3FC8xOD31z2lzMMp3HZ5zIOLrRJoh0B8K9Gk6A72LCZvkxxYYOI4Gv6t2+pZ4YXWkhEdosUzpKSwyqApowWeOAocaNpBjAGEggAo+3b2ohFgatH/CwriIW0KlKOlXgOdgv6de41Hkh28M3HJOSHaUCIaGgPFTSjHkuAgwbfR2Mu+x9eL78boKWN5AjeTnmoz3FpNqhJ4kUimcCHi93BvVErTpjunfrqeoyyXQu/QYFjGl9YMJtFcCYzffRAkCn3Lx/iVIDdEOHyJZMU0hTm5pha4GVL6PI4FjgcannofnmAnhDzniMgsnp9ga8BF8BLES0tRCiCWRWMgiUQUGkFAqsIpEYkgtRtGClbBAgnHoMlPhZr29IdACktBPIrEBkEnBzSbocHWe65hSlzm+NOkvxpwtkGRGNbKK4qToenwtoZeJaG+7FrF6AJM1lHEXmA4SRISbvO0htUeFUYF66+Lwsj4tlHbF6jiQHeZBHAS0ShoUPwiikgLQ4GODYALKc5dtGbju2eqGz2ThHrpKMrVZtQB4HGsJIbiBZV5Vtjuyt0/cAzMzBHBrnC+dsMxLZwlLylXCdSECBg34OMRQkouAMpBYsDaMxHinAYq0Rnyshp7rSNzQa+RkLtwxUw+waSu8JAa4XMeYZEBIltmAZvoqbSwNK6GJoLQZNkNrNa0FClIIGUKKKiGjLSsbbMZBwY5hmizg1toNVmjAM2gYaScg+xsUmSJxhABjuQAlwyMI3qzE3oaAUWYMhggGKiMVgmISiCXNOaiiJZrMEawqXDyPMGx0bsEzOKJ65HkW6xGIcRSNmTRECGEFGKmtqFGsyIE2dEn7D4Gh0Obph8RVBI8YXMgg6NbYbII1ExilTXEaIF464AF4KpVcCvSXwSQGybRxDkBgqQRAYsBERAIQbBi4heXPr2ldadxmGgSKGDnEBc6KT8eRlcw87JBVYinnsUTxk6LboTkkMFvGnnD0uNaecgSrxAMBHqMC8tJbNpNgbMi5kBENohuwG7G5cbsQhCoxujSwgXEsJwILGUNkCqShpQQzTo0oJlYCwgiqgpFBQFkUigghIIxkQMSgEgRDYDdCkR2NwOkgY3GAQ1SR0gQELRRkVQ0ropAhL4nf56CMsqmsTpSGP17Ar/wRHcURBMy2ahL7KTdx29mB/MhHwXfmSKsmbBjAUK2HVz1I+Sdnoo9Y2HsSxbWFqFBJJ0jBEIAj5kOxDox0Yli/yYCtCssAmSLZpHwpqovHdKJzEOw6fNOyJ0cblpYqUsKQkVxLDa0oQoihjEsn8piiWVpCCESEkQEQEgCwIjBYCMIsC0RAobDQViCCNJYUsK0EoGRDz1owvGrjFEtrFERBEBiIMhtTv8HqH1tETyKXgNu/APJOUhs1AwoO4xT8hv8sRZ3RJjtqyVnR+BkRiI0ou4x/cE4YEgQSmITDfIN8eo04vuvftLUshkYm+FXMzAMnXQUmsQf1EYsRkcEXHFjBk0m3l514C5y6DkeRaQHulHzUoZFtGgsGrfxjCBtVwKULAfWHRBkEbnH5nrKAKYkhIyUUFKQLoaSlX6g0oZIp0GtTpHJUfv/kK+38xu7CMER3KQYSQhCMCMBdZ+xuby6YHhAvvleOC7BS5egslN5FiHw0JgWFf0xBPMNwgyAwjJvOsuMktCkiFQaxWCkhKCQgoVB6DiUNwYOAQRxBN0F/grk6KUrQ0qJVqBuBqLHwhoQC7vIOZEIYyJN8RdTgbhUoYnRoMQDhMBu7IC4TNGjS20j1gGCtgzqjiECpib+7XEEaMwLUIcIoaQmDIwZjpmJUM0oCu1klEejCih6cnIkDkbl9vKz9HLJhqloVrCyt1hc2J7EHAMAxCBQYDsMpIMgB1ghyICDuICgUBEUL5widp736Ptp+w6X3FKlVMZCjjFBak8k4rqIBEQ09EAN50xB/ZFDwhCKliCBUEreQGJXJObyQg6AMiYBRSQgNFGotsb5H1v+RFjErUPZAwePIJGBAdNGSL1iryB8Qz1nYfs99mQW8IROR5FZ/Q3BrImgtFRQg4APpPqp9z9+0Q2L0d+ZVP1chA39z3oWk9jFiklcTpOoqIVJE91KUIuTagrh5GFRY2TIt8/0fT6cSioWOyELfVUyM7OBEySkaMsyGQqGBNJEwQZCW0AkBpjKGkgIyaAy2UKRkGINGIzFQs14MDr7iAch6j91PIIFgIQPnCtw3fLRPcIgMRDlOsBA+MyLCQ1QfUnj4SrG7wnLWu2D5dZXpVG2Leb1u0ZvTjUSZjR2NwRBoFmVgt9zypWvE6WeGWnmZQakJunFHnB5EAjxeZQ/aiU3OxQ7rCmQkhEsBvHTtnw+zcWeuSYRsH9YXs9OYa2L8zbewsqHZhCblxKyMhfmmrYCaKhsbmjCTFwQnDkIS4BuhnkfkRcAc+csWoyFUVIsgoCDCCRkFkiDAFgLEWBAEVGLIJEQBIKRYjBGC611D4ck78PyHhpy+CfmzBxRrtEP9nsnj1FAlEkIUbKLcL73JnQUcww3b6C6vmpvE0hnxaz2H5j8G2t97FH+RrxZUN7/i4K72bQ4kn1bzSatFIURinRFBTsnJJkQkhxWqTYTfJBClIzh4fZnMSO/zZ91ZqIKtykbLNPCKpPu28wVhRwB6FOCTAmbsJmQzQjX95z8OB9ClhLIdIsA0BTQMCEQoiWAMMkji18bRpQghcANSxdFKUQSXTHkMO+XgDgHzd+HgGCVMPQP42seTV083iAkYLIp+3T3z1U09HpnGyPrNj+EKVsVUGBBtw/vFQtjL5kt6pUT3LxaKEfJkuM2742uU752D+wgQZBJxX1lBcct1Kbis7KLDUMeTkLVq7y8vaiKTUSWOJ2dYKS8qP47Q+l0vyF2CmxXNEELQfeZjGZaRQYkRhsZmQBYDBLG6GwCkgkrCiNsWCMUcQsqdcySXf1lwN/q0MMaITCoRlhjCOMbW5QLdntijwkLhyMhTNrlW0y3SMlNFx00w0hkCiEShYKjSi7Bsampqm6GBokWhmhXgUxdJDFGtOnLKUcHuMIzXIaRh9ZGEPSj9pEW4r1azh216+NGB3HNsDp2zxDGTODrgz64BZNwVHySsCKopC56A056+0OlDY4OhXUKtg1BAlVKtJT9w8zVpCqFmmSFG4rKlDyUy9YPUWXC0vZShD6+xTtpwhYfoOwOxTB6NZ7Hrvti8z3Qi7pujvtWklGOknWZ5kIazRgveTWvD3WpJD2wlFB8VNL3lHLRXYcUo9uQUhB8apHShtOAjxKoMwuZd/bVoBsZa0m0FAsIDIdHdKurNA5ZZRomqF7aFyhUS6TaGkKD0/CslsW8JLyu+tXMVsLmttnVF5BYIT4eD4rg0H1p16++hbQsQ6JqLIzkc+8uaM64Rfzwp8YbuvuV1hBQhbFNsInV42ckNIUayd3jZ+O7OPnqmjTRKWlGxfu5j/k6crRWwNxzLVT1ueR97ynx8p4AcxohudaV3elxOs8TzhQeZRT2BLy9EX9NOrG6HhesZa0oJJEhFaYA6FVG9IvrUD4xD8mE8D8ckNQJqfKAQYLIUkWBw2UDsBgXaioEgE9Qu1LPzmkMo6opIRgIe5U/Uw3Hhid8dsnLsLWml9SCfo5PWHA5D3GfQQnvZogcYcBtC4LBFUkRhmURgsdTMK+p0jCrcMJKW1QaIwkQItwZQLAFzwBDBS7egKkoyRZJGCFZGAkgIyCkRUqS0GkWEikkgosUCgSxlCiBYICCUCxCyAkQEZAYoQaexO0ILFCRZFNJnH6IgbQg+YJImJm4ey8+ZhGSBz51VhgwmASFIfP8Jqe3SuxMd4IfZPfw6bcqfofan6XKR6pLLVEmvxuH1vretGD5ZnxOfqh0cMhHLhqDKD+L0YGdhu18O8jHhxtWCfVbtWGI9x9OxRlmn9rYM5bUcXihs3pyGPg75c0Bj+yTDMGbAvI4hDsh+7pHCDax1BdzoSPMQYaiHqgdMbDvlYRHEklUHoUsdiJrpuYmg2DATh7BMdYdmM/fiOEZEz6eLFUR+0s6cV2VrDZfSNlim1AVvG1FlOXq1/iPxDu27pLDv1wzzKxENx14d8TPI7OWipwnHQWrw6ZU4OJTjagx/I51KcXYRSZuHMMWSTYsieKSe5d6KhoJ+4iG9U82SyYWtCkxJSuItzN0idM6CrSFiMPSh5eLnE4MORN0yXLn5/OYMu5uaAfNKnW0bw0bzeNWHzzmso2tsxRraquJismdrA2nTYO8dnMOGoqYWt6lVhOKAOfzcH6W3wk2mZHIhsICQ+wznqbkiNBuiGGYfuCAcm9g0lsj0Q1ot1OJiUZGYUkCbPRHMNJbOjxe4EhqQx4IWfAmYEvJmKjiYsfLhCQqdDkql3R36rPeGk2oRMMf9W1P/7L4nBJKW1OHIyUtJ7DocjjedrursxVSysdbU2dMSEmyKcuInEQey9NIShU8kXHljxub6CwuHj5ZK96+SetZ4mwIIIYhMuCnxdj7R9CZNeIaDtCBE+ovYbkAKTzLWvfYFv5MM4Yez8ekyDPLJ3E75+aC69ahRrwKHQZ7SI68yhS4JcMw02zRIRDHK59VYQVREeKrKWcAhURjGpYKpDe2LCJgCMYoBrRAFIigtYKM0loCkSaGEQczyjuEFk28lFpapwndp37d0vccvqO8qYNg6TBCQFIh+PyoueWYKGDgy2yD+3qiO2pQ2hUagsGMjGTSFwpUTYwjSmFQoFZh8aeVmKVj1Ct5CKQmnKTNZmpoZZaKFhq6dlZTMQaryqtUarqyV0jhFIzG4GA0vfmFHHoePB+WD6cK4jt3UKX6A5oAOmIaoBctAIEZqrj7qIdd3CXlSlzWE1dj5ehVM1NxGSZmiUEmZYFHqkSHMqoisVY8K24IV3Y/W2Uu5Di8x78hEdJvhA6IMmehYG8LbSQIwIFiyHMKkHGkOBXeh9/CYZHKbdSVXK9oZtB5mQiG5/ENmgzcNDUinKBY6fio4nCsaaMIUj4VeWIdroNaBbfmI9M6K9Zz2O2vF66G+ghqRVGCoixYioIiKiO4rHMDA+kTDIUiypS0KgQQkQSIAsIRE9VhRh6UIIlUDQ0r4t1qFfgD0zswiVwpZNqOt8hUNldJKLIxNZKYLVERhZGSBEKkjo0KsSg0iWjogBZjjEhtElA3EiAcM6u4ydkaItS9dj67O1NI7E+Xjg2PQTpBhucb0qDLyK2kTFg1Uyhi3pkkvTDVsc0i3cHD6tahDWCy/ISWe5+kB1wx9KsnHabPbtlHQZTmhiH0R+WxpC95GgutrA0uSpgYkN6ZBuhAYgWMmM9vKx4M2E1Aywbem+DMNKAHptAtim+igi7E6WKnvfBIxu/TDHOMcLMIgHQzsg9vl4Ho183Teehq1HoSRHmJVh5OjvHOma2scek96oWlcP9as2xT5mn4iglM3lBqTvW2cFrX3gWcMDJmQuqTijbDWewwGGDOUSfnp8uCa0mizahyn0ZfCIraHKc7GHIrBcjgOh6QaMyxNVifspy0xTMitA5V0dpYmHQxvlPO+d+d8xhjZzaK1I8mUUFM0xDQ7cI2kcQ0LQmKNDhhQiwQZlBqAqIDiS9PbNE25OzG/MksacC4hyok0zinHKrrqvdDI5hWjop0HjDA0+bRyTbyTisMhCsw4dMNP5+InHNaHp914RjbSEZIBuJCoAM5zmKcpd6ddmW7aTcoIFCm+cashwcFgSjBDZTgyHEVUe2xANkZGQcZxEbx0yXc0aTBcMomyKkxFFP0nE+EV4XcZEPmY3mpoohPSkVJ+hW0D85fOHy21zApJseRCqYCS5kmMOxxkHZmwPZ5XRJsjY2wrkZcYIKdGz9Jbh41hBJnLq4ZhZ0NswZoaGJjTYxo3MMgjMSlCbsGxqBBMYsGJqkC2iJ0lNGDUDoWhzIkDgGFcp0ty8h1lQTDu02OZLUzqXiiNukxWjdYrWs5nKxjmAG+IbQipnQ0EDQCwKo2NCaV0FUGiIXIXG1ejGYnvMtvDG+O4mM5MdGMEjkGMVKeqHpMlrw89tm0zJmMBghjIIRGWMRYM5Z3RjEmpmQTUtlDBgQcCw0XSFFzfAos1rCB29XsM64CYOTzqJv5zdo5eOdjAqsYXIbY4EvCyp61E6RscADNA/F206d5SXICyK5BpLFhw6r1HmDyXnQsMEluMQF0+gyDIeRCssHKYZu6TQwYIjBIiaDCwYDFgsiszMRYaCwpDTLbLqCETIUgdyNusoeS7cHLgUO01WRjbcIQZpQqMEXJluAWmjoboEwYfGHrNjrZ0Of12JUIM6hiKw4QQJjk5R9jplNG9hlEmhJ7xR26D5dWqWEgdAIxESgi0Ud7wZmrtLRiZ52iGiR0DPNUxgpfYU8GEwIbICYXdN4C4TMRQeQ1WmkjjobtM1UNYwX6YIFKlQQaId0UpDQAIPi72JGJYffmCuvHBJbVCRRCO3ZaDfoMVOEspEhu181zcTYV1YvUEMfSeXUKDBQKBx5WZIEICdgVgqhxYadMe7NyJOw8zWGG84HGNC4BmYjvquqFTRAUsqKM21aBBLDVCDBrAiKYhRPCLIokvA53HmOMfo7tSFQFqmcmSUJxIX6ZbqEToFIIYGbFNoQHciJ1hELc0qdHqTAyDGPKbIQnFkhrATzKqq7zdQINwMu6WWkRhXZ+o6bGGxyv5KenJbYG+VVFWHMhSiETgQsBmCUntWko4E5Blrtqk6a2MkvLQxPU5gulIBYQ1UWA5ZGmGjqO5TQqdFyxqIpIEAiMQPUWYUp+tgX4UIm0CCDQuIdXNtfL7+zx66qFMJCtVg7zv8xhNbAmw08szWoVWHANLBVBI5dsmJFZMVkCARg2WoGVYOGNyZUj3ia9vVo0D6TU8rkSQaEadillX1p2GxHimIt9U3gFkQM4roAg0G4DnySxmZTbFIdP2khCGJRj3Vcljw4AnYPnFd4nVay8RDq6XKdpFdBMNyRE0KQ02KIYBVCsEgjGIiE2jRA1ax5kpNf5TBFQkGEUS/u0EB1UlXQxA9g+VwMRNYroJ0hkjygJGB8CIsIO1Q/dlqRO8DROYMh/1Ox3ESA0tQpaRLQYdcZGBMHCTtA9XtsHX2VGHg0CyY9leXhcsHyTQ1eBtkhkv/vf5kMFc7yB6hKQ5MDBh1A4ND8QELYovVBVoezFPALJQzrhYY0HpMR4cvR6JepO4i8IEhSoa6HCEIYbEbddXSEesyO1xIkM9dcIDuGDyDg9v9E+Jvt7psIQUYv/ZscqzMAooCIsEQIKCE2sIzSB4RDUEAQJqOKR7ToNfRzfYMII5yQ14r79BT38KbB0nz/KFifGSfUCE6jPsDOg5RQRInxkzJyLVelrJWUBYIUKEoPp6GiSbz97vL7U6PhEyV8C4WR4yNUwjtSHw+WvfcMEs6JDZutYHGPO5IgNZ4Zj2mVWaxJVEOmBP8ggKVo59pdMWGQ0mQ2FGhzPmByQ9c2hkZB4mRgD1kfa4QhACJSJjC5FC05Omh6pwn4eFH5vN4TG8knZ+3HHHDUTKbgeSUSL1BuV3lBiBxduLA28RktjGT7RNsoz7v4KcPoPjDWdPZ4JagI98hfJsXQnohGSKEVIBGUQhUkKM7mRiiRYQFAnzxQQFn1HvkZPYS7FnycZ00N+8fXoJb6Tt6s7bbVl0fRMVofK1BahfvCbUhaxs+D6HSIb9GjodBpjz6DpJy5Z3dVUMErHa8Bqx5AliS477G1LZrTbOzTZdzSsJoIMhtiqxtLmG4smlIvMQPNZE8HmmAKc2YpoxdEdQTJQNRka8REsHSBkRXV4+ijs6z47PrhJ0Iai5Z7KkRP2P7TDRnUK8PgFjQfCvxCZJpZMPiGsCiBe56BPh4nuYcU/TvKryM5j7x+L02T4itJ3+r9Zlom6xhP1GZl5adkN1ByEyY/+UT/nZ5fa//i7kinChIE3MP/I')))
+>>>>>>> b2b82a496dff7ec1f7eab93f51fb0f2cb61312e9
diff --git a/examples/autolab_example_py_upload/instructor/cs102_autolab/unitgrade_data/Question2.pkl b/examples/autolab_example_py_upload/instructor/cs102_autolab/unitgrade_data/Question2.pkl
index ef4518dbefc6c385af36259c48b5dbab65a6b247..80633f5d2d51e2963486085888d203c82dfb638c 100644
Binary files a/examples/autolab_example_py_upload/instructor/cs102_autolab/unitgrade_data/Question2.pkl and b/examples/autolab_example_py_upload/instructor/cs102_autolab/unitgrade_data/Question2.pkl differ
diff --git a/examples/autolab_example_py_upload/instructor/cs102_autolab/unitgrade_data/Week1.pkl b/examples/autolab_example_py_upload/instructor/cs102_autolab/unitgrade_data/Week1.pkl
index 83f5d359d9a96b2c6fe78b826134cde5460b440a..eb73b3e386fcbc212828ac049ffdc9bbb4607b7b 100644
Binary files a/examples/autolab_example_py_upload/instructor/cs102_autolab/unitgrade_data/Week1.pkl and b/examples/autolab_example_py_upload/instructor/cs102_autolab/unitgrade_data/Week1.pkl differ
diff --git a/examples/autolab_example_py_upload/instructor/cs102_autolab/unitgrade_data/Week1Titles.pkl b/examples/autolab_example_py_upload/instructor/cs102_autolab/unitgrade_data/Week1Titles.pkl
index debd5ec970dec23673b35159817678d8685a0df9..16cd1d737f8312c89a3c69643f6ebe8c81fb0ff2 100644
Binary files a/examples/autolab_example_py_upload/instructor/cs102_autolab/unitgrade_data/Week1Titles.pkl and b/examples/autolab_example_py_upload/instructor/cs102_autolab/unitgrade_data/Week1Titles.pkl differ
diff --git a/examples/autolab_example_py_upload/instructor/tmp/cs105h/autograde.tar b/examples/autolab_example_py_upload/instructor/tmp/cs105h/autograde.tar
index 56f6c6aba52c46c1992144324f142db798345513..03dc0680f2b77ee79ae035badfe8b46f5c079a4d 100644
Binary files a/examples/autolab_example_py_upload/instructor/tmp/cs105h/autograde.tar and b/examples/autolab_example_py_upload/instructor/tmp/cs105h/autograde.tar differ
diff --git a/examples/autolab_example_py_upload/instructor/tmp/cs105h/cs105h-autograde/report2_test_grade.py b/examples/autolab_example_py_upload/instructor/tmp/cs105h/cs105h-autograde/report2_test_grade.py
index d35d464081aea7fee536c44ebc291e882d67be65..7aa80e37be175209a0a514a194dba99fff382cb4 100644
--- a/examples/autolab_example_py_upload/instructor/tmp/cs105h/cs105h-autograde/report2_test_grade.py
+++ b/examples/autolab_example_py_upload/instructor/tmp/cs105h/cs105h-autograde/report2_test_grade.py
@@ -1,4 +1,4 @@
 # report2_test.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('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')))
\ No newline at end of file
+exec(bz2.decompress(base64.b64decode('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')))
\ No newline at end of file
diff --git a/examples/autolab_example_py_upload/instructor/tmp/cs105h/cs105h-autograde/unitgrade_data/Question2.pkl b/examples/autolab_example_py_upload/instructor/tmp/cs105h/cs105h-autograde/unitgrade_data/Question2.pkl
index bcfd4d4c0ec3b7fa90b9d5945812dfd05623770b..80633f5d2d51e2963486085888d203c82dfb638c 100644
Binary files a/examples/autolab_example_py_upload/instructor/tmp/cs105h/cs105h-autograde/unitgrade_data/Question2.pkl and b/examples/autolab_example_py_upload/instructor/tmp/cs105h/cs105h-autograde/unitgrade_data/Question2.pkl differ
diff --git a/examples/autolab_example_py_upload/instructor/tmp/cs105h/cs105h-autograde/unitgrade_data/Week1.pkl b/examples/autolab_example_py_upload/instructor/tmp/cs105h/cs105h-autograde/unitgrade_data/Week1.pkl
index d7e897ace5ae661bbe6e4d3d29bff2c3dbbea55a..eb73b3e386fcbc212828ac049ffdc9bbb4607b7b 100644
Binary files a/examples/autolab_example_py_upload/instructor/tmp/cs105h/cs105h-autograde/unitgrade_data/Week1.pkl and b/examples/autolab_example_py_upload/instructor/tmp/cs105h/cs105h-autograde/unitgrade_data/Week1.pkl differ
diff --git a/examples/autolab_example_py_upload/instructor/tmp/cs105h/cs105h-autograde/unitgrade_data/Week1Titles.pkl b/examples/autolab_example_py_upload/instructor/tmp/cs105h/cs105h-autograde/unitgrade_data/Week1Titles.pkl
index 3f846dd3e070d58ba594674b8ac74ebd84837781..16cd1d737f8312c89a3c69643f6ebe8c81fb0ff2 100644
Binary files a/examples/autolab_example_py_upload/instructor/tmp/cs105h/cs105h-autograde/unitgrade_data/Week1Titles.pkl and b/examples/autolab_example_py_upload/instructor/tmp/cs105h/cs105h-autograde/unitgrade_data/Week1Titles.pkl differ
diff --git a/examples/autolab_example_py_upload/instructor/tmp/cs105h/cs105h-handout.tar b/examples/autolab_example_py_upload/instructor/tmp/cs105h/cs105h-handout.tar
index 89891a8c82f05e7f426bd4034d18da34f73c476b..ff7134c570eea35d2a1799d66b9072c7ecc5a0a9 100644
Binary files a/examples/autolab_example_py_upload/instructor/tmp/cs105h/cs105h-handout.tar and b/examples/autolab_example_py_upload/instructor/tmp/cs105h/cs105h-handout.tar differ
diff --git a/examples/autolab_example_py_upload/instructor/tmp/cs105h/cs105h-handout/unitgrade_data/Question2.pkl b/examples/autolab_example_py_upload/instructor/tmp/cs105h/cs105h-handout/unitgrade_data/Question2.pkl
index bcfd4d4c0ec3b7fa90b9d5945812dfd05623770b..80633f5d2d51e2963486085888d203c82dfb638c 100644
Binary files a/examples/autolab_example_py_upload/instructor/tmp/cs105h/cs105h-handout/unitgrade_data/Question2.pkl and b/examples/autolab_example_py_upload/instructor/tmp/cs105h/cs105h-handout/unitgrade_data/Question2.pkl differ
diff --git a/examples/autolab_example_py_upload/instructor/tmp/cs105h/cs105h-handout/unitgrade_data/Week1.pkl b/examples/autolab_example_py_upload/instructor/tmp/cs105h/cs105h-handout/unitgrade_data/Week1.pkl
index d7e897ace5ae661bbe6e4d3d29bff2c3dbbea55a..eb73b3e386fcbc212828ac049ffdc9bbb4607b7b 100644
Binary files a/examples/autolab_example_py_upload/instructor/tmp/cs105h/cs105h-handout/unitgrade_data/Week1.pkl and b/examples/autolab_example_py_upload/instructor/tmp/cs105h/cs105h-handout/unitgrade_data/Week1.pkl differ
diff --git a/examples/autolab_example_py_upload/instructor/tmp/cs105h/cs105h-handout/unitgrade_data/Week1Titles.pkl b/examples/autolab_example_py_upload/instructor/tmp/cs105h/cs105h-handout/unitgrade_data/Week1Titles.pkl
index 3f846dd3e070d58ba594674b8ac74ebd84837781..16cd1d737f8312c89a3c69643f6ebe8c81fb0ff2 100644
Binary files a/examples/autolab_example_py_upload/instructor/tmp/cs105h/cs105h-handout/unitgrade_data/Week1Titles.pkl and b/examples/autolab_example_py_upload/instructor/tmp/cs105h/cs105h-handout/unitgrade_data/Week1Titles.pkl differ
diff --git a/examples/autolab_example_py_upload/instructor/tmp/cs105h/src/report2_test_grade.py b/examples/autolab_example_py_upload/instructor/tmp/cs105h/src/report2_test_grade.py
index d35d464081aea7fee536c44ebc291e882d67be65..7aa80e37be175209a0a514a194dba99fff382cb4 100644
--- a/examples/autolab_example_py_upload/instructor/tmp/cs105h/src/report2_test_grade.py
+++ b/examples/autolab_example_py_upload/instructor/tmp/cs105h/src/report2_test_grade.py
@@ -1,4 +1,4 @@
 # report2_test.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('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')))
\ No newline at end of file
+exec(bz2.decompress(base64.b64decode('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')))
\ No newline at end of file
diff --git a/examples/autolab_example_py_upload/instructor/tmp/cs105h/src/student_sources.zip b/examples/autolab_example_py_upload/instructor/tmp/cs105h/src/student_sources.zip
index 923416694a5d0aeed427d324405a01930fa42b09..d12e500e8b3b6af058b6c6d4c75476405879ec95 100644
Binary files a/examples/autolab_example_py_upload/instructor/tmp/cs105h/src/student_sources.zip and b/examples/autolab_example_py_upload/instructor/tmp/cs105h/src/student_sources.zip differ
diff --git a/examples/autolab_example_py_upload/students/cs102_autolab/unitgrade_data/Question2.pkl b/examples/autolab_example_py_upload/students/cs102_autolab/unitgrade_data/Question2.pkl
index ef4518dbefc6c385af36259c48b5dbab65a6b247..80633f5d2d51e2963486085888d203c82dfb638c 100644
Binary files a/examples/autolab_example_py_upload/students/cs102_autolab/unitgrade_data/Question2.pkl and b/examples/autolab_example_py_upload/students/cs102_autolab/unitgrade_data/Question2.pkl differ
diff --git a/examples/autolab_example_py_upload/students/cs102_autolab/unitgrade_data/Week1.pkl b/examples/autolab_example_py_upload/students/cs102_autolab/unitgrade_data/Week1.pkl
index 83f5d359d9a96b2c6fe78b826134cde5460b440a..eb73b3e386fcbc212828ac049ffdc9bbb4607b7b 100644
Binary files a/examples/autolab_example_py_upload/students/cs102_autolab/unitgrade_data/Week1.pkl and b/examples/autolab_example_py_upload/students/cs102_autolab/unitgrade_data/Week1.pkl differ
diff --git a/examples/autolab_example_py_upload/students/cs102_autolab/unitgrade_data/Week1Titles.pkl b/examples/autolab_example_py_upload/students/cs102_autolab/unitgrade_data/Week1Titles.pkl
index debd5ec970dec23673b35159817678d8685a0df9..16cd1d737f8312c89a3c69643f6ebe8c81fb0ff2 100644
Binary files a/examples/autolab_example_py_upload/students/cs102_autolab/unitgrade_data/Week1Titles.pkl and b/examples/autolab_example_py_upload/students/cs102_autolab/unitgrade_data/Week1Titles.pkl differ
diff --git a/examples/autolab_token_upload/tmp/cs101/autograde-Makefile b/examples/autolab_token_upload/tmp/cs101/autograde-Makefile
deleted file mode 100644
index 78b2c548c19d14aec7ea0edc74cc0bf021aa6aae..0000000000000000000000000000000000000000
--- a/examples/autolab_token_upload/tmp/cs101/autograde-Makefile
+++ /dev/null
@@ -1,7 +0,0 @@
-all:
-	tar xf autograde.tar
-	cp Report1_handin.token cs101-handout
-	(cd cs101-handout; python3 driver_python.py)
-
-clean:
-	rm -rf *~ hello3-handout
\ No newline at end of file
diff --git a/examples/autolab_token_upload/tmp/cs101/cs101.yml b/examples/autolab_token_upload/tmp/cs101/cs101.yml
deleted file mode 100644
index 1feabba2f47a272eda34e1cf09640f04b85a9918..0000000000000000000000000000000000000000
--- a/examples/autolab_token_upload/tmp/cs101/cs101.yml
+++ /dev/null
@@ -1,33 +0,0 @@
----
-
-general:
-  name: cs101
-  description: ''
-  display_name: CS 101 Report 1
-  handin_filename: Report1_handin.token
-  handin_directory: handin
-  max_grace_days: 0
-  handout: cs101-handout.tar
-  writeup: writeup/cs101.html
-  max_submissions: -1
-  disable_handins: false
-  max_size: 2
-  has_svn: false
-  category_name: Lab
-problems:
-
-  - name: Unitgrade score
-    description: ''
-    max_score: 10
-    optional: false
-
-autograder:
-  autograde_timeout: 180
-  autograde_image: tango_python_tue
-  release_score: true
-
-# problems:
-# - name: Correctness
-#  description: ''
-#  max_score: 100.0
-#  optional: false
\ No newline at end of file
diff --git a/examples/autolab_token_upload/tmp/cs101/src/Report1_handin.token b/examples/autolab_token_upload/tmp/cs101/src/Report1_handin.token
deleted file mode 100644
index 07bb48e8591f6be65007302b6c5b203ecb7f15b4..0000000000000000000000000000000000000000
--- a/examples/autolab_token_upload/tmp/cs101/src/Report1_handin.token
+++ /dev/null
@@ -1,192 +0,0 @@
-# This file contains your results. Do not edit its content. Simply upload it as it is. 
-### Content of cs101\homework1.py ###
-
-def reverse_list(mylist): 
-    """
-    Given a list 'mylist' returns a list consisting of the same elements in reverse order. E.g.
-    reverse_list([1,2,3]) should return [3,2,1] (as a list).
-    """
-    # TODO: 1 lines missing.
-    raise NotImplementedError("Implement function body")
-
-def add(a,b): 
-    """ Given two numbers `a` and `b` this function should simply return their sum:
-    > add(a,b) = a+b """
-    # TODO: 1 lines missing.
-    raise NotImplementedError("Implement function body")
-
-if __name__ == "__main__":
-    # Example usage:
-    print(f"Your result of 2 + 2 = {add(2,2)}")
-    print(f"Reversing a small list", reverse_list([2,3,5,7])) 
-
-
-### Content of cs101\report1.py ###
-
-import unittest 
-from unitgrade import Report, evaluate_report_student
-import cs101
-from cs101.homework1 import reverse_list, add 
-
-class Week1(unittest.TestCase):
-    def test_add(self):
-        self.assertEqual(add(2,2), 4)
-        self.assertEqual(add(-100, 5), -95)
-
-    def test_reverse(self):
-        self.assertEqual(reverse_list([1,2,3]), [3,2,1]) 
-
-class Report1(Report):
-    title = "CS 101 Report 1"
-    questions = [(Week1, 10)]  # Include a single question for a total of 10 credits.
-    pack_imports = [cs101]     # Include all .py files in this folder
-
-if __name__ == "__main__":
-    evaluate_report_student(Report1()) 
-    # unittest.main(verbosity=2) # Uncomment to run everything as a regular unittest
----------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
-83d63cccaf57bcf93a92ecaf339ca42b77e2ff00cf0ce798bb293f511473af5afd4f045436f43ba92ae06c6eaefee02a3445dbfd941e74175ef3f9c8181bceb0 25628
----------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
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\ No newline at end of file
diff --git a/examples/autolab_token_upload/tmp/cs101/src/driver_python.py b/examples/autolab_token_upload/tmp/cs101/src/driver_python.py
deleted file mode 100644
index 95cc2b1955810b2abe92b7cc4265b488a9d1b285..0000000000000000000000000000000000000000
--- a/examples/autolab_token_upload/tmp/cs101/src/driver_python.py
+++ /dev/null
@@ -1,72 +0,0 @@
-import os
-import glob
-import sys
-import subprocess
-from unitgrade_private.autolab.autolab import format_autolab_json
-from unitgrade_private.docker_helpers import student_token_file_runner
-from unitgrade_private import load_token
-import time
-
-verbose = False
-tag = "[driver_python.py]"
-
-if not verbose:
-    print("="*10)
-    print(tag, "Starting unitgrade evaluation...")
-
-sys.stderr = sys.stdout
-wdir = os.getcwd()
-
-def pfiles():
-    print("> Files in dir:")
-    for f in glob.glob(wdir + "/*"):
-        print(f)
-    print("---")
-
-student_token_file = 'Report1_handin.token'
-instructor_grade_script = 'report1_grade.py'
-grade_file_relative_destination = "cs101\report1_grade.py"
-host_tmp_dir = wdir + "/tmp"
-
-if not verbose:
-    pfiles()
-    print(f"{host_tmp_dir=}")
-    print(f"{student_token_file=}")
-    print(f"{instructor_grade_script=}")
-
-command, token = student_token_file_runner(host_tmp_dir, student_token_file, instructor_grade_script, grade_file_relative_destination)
-command = f"cd tmp && {command} --noprogress --autolab"
-
-def rcom(cm):
-    rs = subprocess.run(cm, capture_output=True, text=True, shell=True)
-    print(rs.stdout)
-    if len(rs.stderr) > 0:
-        print(tag, "There were errors in executing the file:")
-        print(rs.stderr)
-
-start = time.time()
-rcom(command)
-ls = glob.glob(token)
-f = ls[0]
-results, _ = load_token(ls[0])
-
-if verbose:
-    print(f"{token=}")
-    print(results['total'])
-
-format_autolab_json(results)
-
-# if os.path.exists(host_tmp_dir):
-#     shutil.rmtree(host_tmp_dir)
-# with io.BytesIO(sources['zipfile']) as zb:
-#     with zipfile.ZipFile(zb) as zip:
-#         zip.extractall(host_tmp_dir
-# print("="*10)
-# print('{"scores": {"Correctness": 100,  "Problem 1": 4}}')
-## Format the scores here.
-
-# sc = [('Total', results['total'][0])] + [(q['title'], q['obtained']) for k, q in results['details'].items()]
-# ss = ", ".join([f'"{t}": {s}' for t, s in sc])
-# scores = '{"scores": {' + ss + '}}'
-# print('{"_presentation": "semantic"}')
-# print(scores)
diff --git a/examples/autolab_token_upload/tmp/cs101/src/driver_python.py-handout b/examples/autolab_token_upload/tmp/cs101/src/driver_python.py-handout
deleted file mode 100644
index 95cc2b1955810b2abe92b7cc4265b488a9d1b285..0000000000000000000000000000000000000000
--- a/examples/autolab_token_upload/tmp/cs101/src/driver_python.py-handout
+++ /dev/null
@@ -1,72 +0,0 @@
-import os
-import glob
-import sys
-import subprocess
-from unitgrade_private.autolab.autolab import format_autolab_json
-from unitgrade_private.docker_helpers import student_token_file_runner
-from unitgrade_private import load_token
-import time
-
-verbose = False
-tag = "[driver_python.py]"
-
-if not verbose:
-    print("="*10)
-    print(tag, "Starting unitgrade evaluation...")
-
-sys.stderr = sys.stdout
-wdir = os.getcwd()
-
-def pfiles():
-    print("> Files in dir:")
-    for f in glob.glob(wdir + "/*"):
-        print(f)
-    print("---")
-
-student_token_file = 'Report1_handin.token'
-instructor_grade_script = 'report1_grade.py'
-grade_file_relative_destination = "cs101\report1_grade.py"
-host_tmp_dir = wdir + "/tmp"
-
-if not verbose:
-    pfiles()
-    print(f"{host_tmp_dir=}")
-    print(f"{student_token_file=}")
-    print(f"{instructor_grade_script=}")
-
-command, token = student_token_file_runner(host_tmp_dir, student_token_file, instructor_grade_script, grade_file_relative_destination)
-command = f"cd tmp && {command} --noprogress --autolab"
-
-def rcom(cm):
-    rs = subprocess.run(cm, capture_output=True, text=True, shell=True)
-    print(rs.stdout)
-    if len(rs.stderr) > 0:
-        print(tag, "There were errors in executing the file:")
-        print(rs.stderr)
-
-start = time.time()
-rcom(command)
-ls = glob.glob(token)
-f = ls[0]
-results, _ = load_token(ls[0])
-
-if verbose:
-    print(f"{token=}")
-    print(results['total'])
-
-format_autolab_json(results)
-
-# if os.path.exists(host_tmp_dir):
-#     shutil.rmtree(host_tmp_dir)
-# with io.BytesIO(sources['zipfile']) as zb:
-#     with zipfile.ZipFile(zb) as zip:
-#         zip.extractall(host_tmp_dir
-# print("="*10)
-# print('{"scores": {"Correctness": 100,  "Problem 1": 4}}')
-## Format the scores here.
-
-# sc = [('Total', results['total'][0])] + [(q['title'], q['obtained']) for k, q in results['details'].items()]
-# ss = ", ".join([f'"{t}": {s}' for t, s in sc])
-# scores = '{"scores": {' + ss + '}}'
-# print('{"_presentation": "semantic"}')
-# print(scores)
diff --git a/examples/autolab_token_upload/tmp/cs101/src/report1_grade.py b/examples/autolab_token_upload/tmp/cs101/src/report1_grade.py
deleted file mode 100644
index 43da14b77ba5b271afb542e4ae2e098397dc3fd8..0000000000000000000000000000000000000000
--- a/examples/autolab_token_upload/tmp/cs101/src/report1_grade.py
+++ /dev/null
@@ -1,3 +0,0 @@
-''' 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('QlpoOTFBWSZTWYNp/bIASPt/gH72xFR7/////+//vv////5gVx7nOcffPvr4ershb1TrtUAAQRodGjQOqobHc72j17w+e8vWnwSkrmNKG+7XSgZK73z3VPKXfb17XBiDDDbezkeOtBXlnpu1w+iNV2uoL5302WbZpoZtZGtV3d13NyE74bvHe473vh9GlG+d2n3yHZay+l76++Ag+333l7erLDK3vPcReYZqN7fbvbBnq7ZridtH097VJL21DMxbLElLbu5u8j7t49Pp7aivFS3PvToi17uU+czvs6J2+9d2iJetusaN7uUuba22xWDrrfedYSmiE0aAgJkIammCeoZE8pT8U9TMqfqbUNTT0TymBqHqeUYyjDTIEIQhkg0CU9o1NT1HqYT1D01NB6mg0aDQA0AA0Bp6Iimk1Gqfqnp6NQjR6geoPU9QAADQ0aNBkaNA00yAAk0oQhNAITBNTamVP0yYqeaU8Q1D1PU8oGj0mQZNGgDQ0YRIkKek00aABT0noE9RqbaiT0mT1PUaMm1NDJtIGhkA0B6gkRCAQBMgCYjSaZU9TzSp/pko2pMmno01NPENQDCND0DlBPX8TKBQCiKvugIA+uKCFIeAAgEACAXs+l6JLCv/Fe97dxL3BewXz6henewXvd79itCLR0918Zk/j7kVovohK+LqFAihdntZ2j8vRWD2QR4yhjiJbnJhBvvQ1uEIIRYOafwcYhGKdidGL31ATqLl3BuCtfkwH4rLhjskTbByfGKyx3OzSUKSKLijCHM0WQ5DJyl5OZdn8IP4nwJTj3//LZoEv3dj67p7uc4in/mc6Tk7par7FaV/hwIZFY5t5u3igAH7dM8+cyBVEDrEF+RiLIEgkisijIsggQIC/R2xC2EiEk/HBwAil/6QaBBIkFAjEkK1WD1lpaEnGT7HiPXlHOxHlFnJHA2yc4e5Owj7ZKFBVBAVZZGxBFT9TCgxFYCkFgKoTFsI/9/R/747+pxyi9TxIOnWvdnh/w97KODkxjrgSJSducaSvrcNkkDkKCd42nasDVLRsJA2SCpTBOmJtJSnOwTNEKSnjjlJdOspHHOeRvuL5d/ctUgTpjVXTl6Nf3GxKhcHM0+5b72FtDP6f03///vnTn4PoI9HzcobjaA5tpP8IskXfwm0/0ZRPm27W2LyY9CPFPy7Ud3yOv4u3eiwzFSpyPXB81OkH0QnpdGsvTdv9a7Z4QIwFgpMmuEOm93pgtMuq/8vNEJn+XPC+D3O9HD22O/iMdDEKB7PMa2n16VOecZfYMGgYQyHPh5M8/ZqOf+7om7e9bDkh3SLSiUXu6sp+rE611OkiPyeHhLMalWi/vrvhVT9O7pR6vhj1e15fu8vGR+JGqILbIeBEFckOtISOGmt3HD0+bfQElh2LCq+aYrr4CXsTdnK7DGmc2+lewxfX33GO1+euxTle4YWX7+hGMpyvMhLhhjtWOF0p0g5r5MZ0pV64tTAfl10lvuhrcE/Mu1y24WyHMa9McF7QeunnlxxXmrNdpGsdHJ9U7+VSY8pL3JO1RHZ+lMP6o9PiIpuQyvRkz3meLFVdQO3GfPoWc2+G56dnbthYgjC1h35EHm9jNCogWdoKEGOpGiNJoJcpLB5PZHf821YLWtp2IEheScWW5HcgyKwHJn8p4fDzEzInohQXDuUPYPokKCQJ1eQQakZgTOCKMlQ0Vfla0rG7GVR8bW+FwoMYiRbeRrprIIvTa4BrjGMNiNlaMoUY2JvAZOM6FQhs8LjSSxfQmVJfdgUqfjFLSKnV8C9k5E259vbbsS6eXXnUeGmWtbmdEWlJfFr49ZFUgY0BgwXv+u/7coYzaWNrQbMeHioYGO/TjQC9pO6FVruCLQ/W65WCK3yARfoE3Hz64ZsLTKxQyncAiEIeH0PyxVCwGPnQJ+xrxIg0r/23lBr9wPdJiGI9CRtvpwg302SOImYRcI+sgtvYQw5iHh7YjYnQ5Z32Udm7qDcqOdulaWhoFoaQkfmnbIaum4WFvMd45ogvd0SC8grlk9qPda4cqZko3Wxy9Kr7LWuqsDJFuWGk35uEukjWMF3ZwMIITaPNVaBHw0OkNy0o4EX4fCbpkZYu0ze5z4vYIxOXF+G7Kojre9wv1bXi9FjClRxyhR+zGMJU25sYUbfgO24u8HNiCXZgR/lUwQrG0X7S5QFn2tEctz0hx7vsfzl3+GEsM9RXAi7usxx5Gk+LW+XL9ighX9o55PyCdIsXhmWZtYXMIJkDhBm4Ul3G9xN7TeVjQiuBiyetFNkRwEDhkVZmxnkUuJ44EeXfnkZlSgSLgnh0ldW4izCLypUuJsGkjoQ0hG2B/KTYISJgVwvUpRJ7zcb6q6B2Rsy35/UZaxeCpRavfuM+k9YNQmXQ4/WRFth9w4pXTz7owEhIVbLFjBG+hQXItnk68k7qmBztngaFjMwqkgZJJt6aVNE9w9CTIpmZT3tVBS+nJ4Rj5cMTHo+umgX5rBlM8ZBis9Oe/c7JCFHuE8NwkOzwZQDznA60MLiZMm9+AXznKLgkie2X1Za34mBsvTEkeamMUaejuxU3j7vtcpYz7C3MTUerkErdpP6pSKY17mxIzm3wa8mfX5v+WOY5mHnF8pmZTJJsiv1m0WN04Pzvvo63wd3ljK+vdoOhaaG8gHCPtLS4kdYYJtSB131ri9RERESEPu/cAntUgEuu1jZjKLbfW7u735uL8zxgsNBMeWYFjqiNOH99h8GUiK62N7Le7aZuReZYe/QqxI6zWGEpu2C7in+SEBH0/fzZSX588G8B8ZTBF5kkOzXQkRQHHkcLu15B+gxW5TdD8N5HLEjnvqZaPWOo5iYikXva9S0bL6oTKRfRi+N8cbzA0ecZXHXk5X1ctvMY+kMjHU4G4gxQNOPoPhfnuOBVrpu9nI9iKS+bMuy7OdyWoTmVLS1kWYGvTsJxHolIpQwJTOhVmg9lIKjGNLssq4hmcTCDg18WOG175bB1lnytbue0cDAptY3IM9u5+ps5ImVTCnDTnpth5I3FmYTSOIWPs6O3qPTmgh9TcckWQ9pKSHaQEDhJ9Y4D8SWs8N+BffImFwXrAcCdSpUhaw5ZXCi+0sBEMpFNnLpXkyGPAH5Ef93dmdsbned2Azpj7QsnrsoowbYGTNMownTso3U3bXhJ5a1Vl5wohu9w5hAT4GI/dthVjbMzLjUFcsGqYROYZq+NDUxMbxqvSzYLAgVIyJzxPMTa6d98tnEOWtcUugypULgTCGK1GXVIDdm5JqbDjQLt5dJN2vRFC5tpTQxeBnMvGr7jGxm7079D3IILxxZZTnwmNpR2Flpli6LCvXU1KJkU0B89jLAxRhYoSopZOkpk3q1rEXyHu5dNA4hXG8vxkSA+YtPG+Znnhgkk5hQaR2tHAndjvxObO0TKJvaOy4PYmDDWESvAiIAUvREnwhRRqPrnZcKVWZlF6M+l99g4KgigrkCTU6I5EtJy+gqZ0RxLPQrKZSr0S6UJk0b3di9OdZvXOee3f16HZeN2VHOGNpSnnfkXb7sCTBIK6wt98h3UoniTfxw6KLbcYkXhrvjEro4qOio7qUYiecRgFyMLj43Oswe8N5yliHNuyRvn0reQpkZm8tECDeDlBzK2uFa730BRhNDwKYDv3k6id4oOWATIUiN9NE8AbOsccuNmqZxhi8q3qQ8zBjYuNMg+/kzlOKNgd7rDpBoYQ4sCASZFCH0uhvvHIZ2jZ6y3Ub0O7pMVfnxgSTcwLm0lNrTI3EjAcy44YF2Zux0pZhXoxvmd47DXGDQhh6hQ82Y0I+riPAevv4HznvrXwhDt0u/IG8ZzKvS0oR+bYdaA6yMMReiCfF7ru5na6WZs3skT6G4uCwhAQFzdEK12wobA45+iefxQdDIvYDdxj7Vol3s3v+Einlz7Wru699dN2+IbFfGenUdgQ5ZyFC4iOoI+CCYm9bj0arVPc/NvCmVrtSTXrpzoORgw1/b/mPgeZoO7RNovfktGK0GxafG2cgQQTMiCWYxukOQyEA9Wr5faPuf9eXL6Wi/gk735PAsdR8ohH2FQM9B9IWMVv/Wjc+xslaOeXDx06dB0OjUZgv+Dm7nN365jKnOzv9xevXhnbHqN9LVfFmti83xtqkw8GeIQEC20IXWyR6B6gxS1UOc6cSF8znETx2xX4nvsGe0iA7Pu8tftwx7enx3k/HG1d2vs12rSfG3djmts5pmk74PTo1b96dEBDx3cUhMkzETJBTli3tvyqZJWEUtoblshgREqPFBIbqvU9VqX+NSnNqUjbioCgETv82vjCa+R3DTfrw3v78d+mfre2Cqjj+38czT4scTJ0YqGTZKE0jiIkB2oTErLUZ2p0nQrLVUKURt3Si9frpBVeX9HjUdsEqnJlLCFllQhgkvRFq6eAAI+dvdoPYxQ0ixmbKmIvktJj7dPdlChDKh7Jw6y2P6JRj8gxUFxSVEUChNYKBmRTnynrlmFMCrbdegl0SftRU0eFJfNIPyPP/jYkqQvmWID1enc/8xduXsHX3elLCDa0EV7cEN2SXHL9aNzAOm5+zP3HI8fu+PJEVVVVh3sDnz45Fem2yongMogqqqkNb2Sbob76whju8LcUMiz51RQn0RkrzVrhW2y2yrbGIVYwKqVCrGSqSBU+2qLLuwJHbwHv2F3KQ4KTaWxNgXaTy/hdDAmIOXJSZBByikYgbsqmCjBroCgSDiKEZBYCSy4Gmdg4n7H7vF1xVKpeP73OrRf3HLS3Q9djU5PI20wrw2qhVFdVKAUng3Rn1xUBbtaj5dGZZdzOj6iHGaixaV2a71AsVUQPshXaYm3Qq2jBmULWaTRRstu6kRp1hdY+aLhzv7WYKx/LnefK3RgaX6iRkASxaySNedpHOAoEj2gPGR35scDAViwaUMRN5GguL6yxIVrOxZk5FCy5VQ70FXhXOzVhpAeAuDsYAsHkkeYkhBbRp0k2oRWBishTjp6KcQMSz4HIjToIBW7FMBo3MBwSkGgumaRpQLwmZlYgQ+bVc/OQZFEieFILtn6k/RPHc1bwoxqa8zQqY1FUxLiPwEYhZkeGsLy4E6uGlQkQwhDPArFfwoESE4OaEAPc5vRF+k07l7HwbqRcJExGp0lg1+BCWdYaSJcna+clENzNE3VPRz9Nu/XGhhZypCcviZOUWk022WVVyjENXYj1JFo1LHFu/s2BTO5x4w/O+V5FNpw4Fh8y9yI2cKxIrkhAceIcY7A+jIz4Upb2SIIeocdkZvWh+r+m775G1roni85yhGajc++TkbUhL0H4vegde3Ptnz+NOD3n1uu0LkTEHPmPM0bfeoEiSj61UjwLyj/Mvk1Gd/qfhZHZ/KEWB+sTQ2I+zmvN0f2g5+18uM+28sqd2F8PMyORDkHCdQVojtuY5b+kYZdt5rxM8+Sd0r0OmJo9os0tNuJ5ZYE/Mv1K0rP2/LyYeo4Y+m+jPPpQdRoQLHZ8YW6ce1ezxXLz4fc+XKxoxoqlYhpqT5YyeT+tF0NtEYF+zvyy22urXR9S/vmbBOovuKs/Vwh69chYooUBYu9mFK2UNjLQdxQnfTuuiqMRredBAMNxdNWp2QjHDXjI6FG4b4I9tk+/MD3leKPd0fO8uNDbGoaNvSpHCmdTgyVx8dwDtIjlfJtGdsAuwzEB2ITPDviWD9xCggkIIO+BiJ3OTkPB7ZXSnerh288TXfWOSbfnu438kNdhbIQQXnUjHJsP0851wpwkbc8YdEa2d75vhfIuT63RPxK67vPTkpDxp64BmFzGLnDPVPGA/L0qZpBDOEOsoSaKf2bxc91IV5sOSPLjT+Ow7H5T8h8NrQka3n3Yk5T1ud45xv7cCDvx74fF9FlcurxjKHrJ8LgmVynw8Mzk9jHsU+KW+d4gVv3xDn4+r+BmdbrpO+9jde97yYHuBxMJ/CXzHZx5FzXgueS6RDgo/DZHz7U+xXOtqr2KAat5QUIfH56D7rgEagrPZbbbVYKd++oe0o9E6n1Yzws48dooaz6BojBAMZ8fGQ+DKtyTENjYTjy6ZLHr3Kb8A3NIgnWSC866lQ7xDMmyquQnGJA4ZNxBZsIHCBxDHWJ6Sx890US8IkQF2s+OnycwMAaOxI/HEWQ0UHDAx6EoS45TNmq3+67dahNsPCOviRcOo47l2jrGZehviR3tcgvWmWDrir0c/289Lf7J6ZnDsb3kUVzoDoTx5eJu47V9pxEoYZu23ugPPS2aKhLzhSoRnb1crqfPW7Kb8GOuTm11C7PiezWsrspKIZWJDTU/XttOfJ3Qirjp1nk5ItLu2CqoN0JPf0I3REAFMPVnWZBClx6M7+qB380J9a+F7a323myfgFXUWM8558rjcCMMaEMZymZBLPKHne8yW17SpZU6WOMrLPWnjFhhX9d2omyJ6a41MllZyWsENSUQ5GqFS6ZBJkDpkzGBhcVkI59lc117bi1R+UcjGRUlLvjORpQ0mYXuPtwMJ1r5exTzlXsra2c/pPLi4vR0gvl4bscTJu13N/mu6M3W2nZW/dvIqVzJFHJ2K90mkgkPxjzLlVgzxuad1iAsdK3khPyo0m4cV5LSL0a3QGLFLMV167947679vZgszdylde3zQH7dEvZkUGC+2F9TOFe8YxtZHEqvv+oouiDdh7TmXgc77guZ3zG1KSC4RhgdPcrKSjtqQTHEl6sYkj6HzgxukRJR8II8ZHY1sYsngQ8hnZebDLbAofIJpJjEwMjpHTgeR7fMcQQfD3BkcMg0GgGh6hKkLQNYeRApJCzg58Ijsoc7ncnuiJvNUR1rE2eV+/z5PfyVBPoaCiqjJTkbo/QT8XKF+gy/I8BStXadZoyzZXFOKAoMQ46pk+WmItHKPCEcolxt0jWmY0Zwc4YipqUZ2U5FHludDQA4x0PmCNGY6IdOF+cNT7g5bWJNoW/IpjkVsiCEQWzKH6/H1ay/NIaxDyNZTJTLCkSjFDsL9ER8z1ztPv1OnPhOQwKWPurUaN/UOpLH67wuwvKi361kLUei3sSoCPBfYdHtsYhwdBeYyzog+xkpgOYbBRUrDYMbDvLjmHO1hNalkGQCJQaY2bBjkyNSOcWY2jd9hhJaALzbiQYt0ahiP1m4JVYpOocWetHdJUt65UmzpmFQKI5m8fJCuc5blFUSk5z4WgshUBicS+gK3bYduHaZKh0L4vyMMKaZtDarAqG+hKY1w0STIMXYccyx4cnlME9d45tg1KASHLCYQjbzeORv7Q0NxY+diofYdMwUA4PQkHxJSg+W/gFv5gnoFPpbVf3ny9T9dTr/RF/6hopaMPiiLamYTcxobV/zg2Mr8atTPx2m7GUWoFRxbjduhteCL9JNeQodPwFaU/WCAKHt/W5j2hfV5fFSLLn04+i8uXt8A1kr0SZU1GLaRH00z+Gp1Crx0ktTRPfyBsG02DbOUQMavRqMVT9zKok8nz3yd51xz8gxiPM8zrvmIMEyRt0EGsvNwYf65U61HBwVuiD1/N1UsNOLxVD34X34RfzUVC/v8nrw4wjkkkkCEB+hckR8tqxBRW1/SY8eIwUQ7O/1fJPAbonuSeoNPV1DEsdEkrLD1h6t3LyXm9Cyd/juunM40KqKvyU4c4M5NrM5Rkh3L0S66ZzSwtWjrUEyHaWIAhOiCsvoRAnNwMTbx7sYoliRSrAnT0cFRWdJXMVazNFy+TMyLsPETIrNWYbLPE+d4yDq9OXiIYkkh20mRxpaObQdbGZtYGgU0ERpPWSM2rwLvWHFUnu4J1gSKBpCUc4435HPw7vT4pfIO3XDQ6CdEViIqKCiytFWKLbQ7MSXprXAh+DG3MuTh4UVRRQRURVZxbEViTCHc8dzt3c7mlTDr1J1PdfMYgLW7xEWZotqPNHp1nRjI0cCKz1qLRs3HK97kOGJsIU50708mIBIUu4jEWHMSCQx87BM4yDD3kxmHBfERb48wE742EbbbGTpzyd4yZjELbVfDTBA8ThBFw7l8IZ1TMqGYGDhcc85bLyHEVrCtG+T5zw/c3hqn3zGBsQDGT3zrGSISWaBnxHfC/8KHEwPt3tr8orDBgkLK/UeIZ1v5hIYOIsdlORW7NXMGDWvx8gb/7PpdvF/u9/OOnudv4YfVHjbGd0P+V7y73qGLeCIwkSo69cyEkAYDnpRDdRxe+G+0/o8/gamHul91GtjL8woE3CJQd2dGaLb7MX/yH9Yb/cT6RhtBPgceUIepkOaGwntT5HqnnbrJjE9rJMswjF9vJMe1zhMuAd/HBDkJlnoYFV4s5PqcsU55xPfnHv1rdHXbtTNqJx08sTQw0ne9TFiOW2vUcToYmBycBwXgFGUERvr53mfc9xGfBTPSvdMn7Kx18aUWs5RKqYlDinEbyRv6fcgsjdO9an2/V6kIZhf0sqRYFV/UWk/mcjlhDIGbIKBGojiK1EkBJElylAKg3BuKKOJ4dPIgAJdppYPJ7EmkJtPrpWnO7RDtfjBLlUZnta9pCYmY7dbu+9VttdKyNoNWGMef3Isa5JaBATjuf2l93kxAlB4UNNSDFCjTh6+d+gkTBlTIWJghWMEGHjwd8VLlynptuEOx1eU+msJjClJwJi1MQnx+81zqV42Mzt+mhaavUc8CbbV1WldaRPuv0rO16278w4sWdDOaVIqlGf8+Bi3ZOprUvutBJbFjrSSn2/KRXfQejsZuWPMmefPsuM54QbSY35E7dZXU9hFlpRWeE4usKjJ712ITD4jIP1HEaaYyfBpsxwx8Feh2LFK4/Y8Nvl+QPLD8RQv8f/p8P3fnPjZF5qCDEqUJGUPfJt0UMn9chU+w0yMfy3RpDegwJ75DoCRypZh11r8//Y06J83l7h9MxEMG2280GW8L16lAQKV7TI/6s/ae/nAfWkt38rXB3/ZloBo45ooIuBEhACeA9kkIBpcz0N5MEEH7HQPctDD/z2W7dNR/UFAgJIYyxaGHIORl1tpXWGmM7R7ADVkOD+3/QPGJP02O8vISxNodx+slVqJQYCGbiCDuSs9vWBtCoC6xDYDaQxCWIzr2SX4oPvNx4f7yDn77dp/EY8A1I2KTultEHP06B0g793ltNk1t0g8cWcxhzhJGYMR8+Z1CCQ7Jm4+Hp8gZ79C87kHi+YDNodiaN3nBQvQ47/JLI1HeSZ2w3P5L/QzQ9joMeg4rEcSGjrPrDeAd28sZonQZC0p3n4VekyZFUfIhLIfyMo+t91qqqyahBqBd5JIsu4JCUXsxPgUnrLj77ih7rzi+f4js4oQQvvKGtVEeTYPd/2yLwUEevCRC+pCdr0FBqk3TSqaLNaaA7OKEEC7aaghjIQh+qPlDqVPfZBJJYwFvOBMG6E2hP4B5mUyVRT8Wu/DlWN/LzL7xCeTZryoyZBCrc7w9SyyiLhPLaUQuEGMfEZxVv1z+bx/q5g3LHyZZXjrjQOZVxO7HHYU8M86+rIMt/OHMLUM1EwXx3a0l+ANJjf4RAxggbSlgh8/OYDvQzs0tKeNfD/cZJQBJw/qOhycdYJLtXleE7jXTPj0uguH6/jWVZjtt8KayqiKEygFfUjGBXs9l6O760vNi/N8m9WPpIuMAHSz8dVWJij3wqlBIqhBodPRgTE4Gcd3cuJVg3SfBooij+GY4g91FbxRJA3IohSu6qc+5WXB2veYHBpwUZEbnVBVWoAcnuKmVm1IJYZI1Qh1DyYPOeVbh8t4dc5JnwTnS5EaFUODvCEI3aUiExdbY9RfE101TMl/XDn8VPREaKuHcgbBKQgoHV677rcxxyLtn2rODtW1qAsqwUHeyA/KWcsSCxIPHi/LlPhuhILa1UcH8PAtwSUSZL9kwt2XG7h2iXzzl2doa6nORaltc7d8oz1XPFixKPQ5MdviBHH3sZj0YLxItI6J8pTLPMQ6cOLptwwfM5uUR2eCX5/Xm58maXa2AAj4L86PuGgQdGmq9NYyHPJVhpD3p2JrNk2YVFP308GYWkdw+PsPkK+5p+bvOG2mUg8rpi5jrtyQDz2YxnH0MMKIbMiliiIgnrvga8DbPybdzL6uIC6skRQIKDucUp20unbcBRugfYyEiueUSS1u7t1ZhKz51dJMsnBB5DHzsJAJEeujZN6KKWCKnBs/1Droe3JuaPckvF6LJ5sS6+EN+n4Txym1U/B2O7V9yGoyaOGNVJmfmmCI0QbX0dsuJ1VzIJaCODz9icUVZ/k71PHP1xjCdoQ0+l2h3cnPjIWWt/oRglZ9+jyWi3b8IC5B449Txoxq59/J2FGCyIBSYlmgtZA86XyeKz3hN6izD5CwYeotPrpNPhPI932+Otz4RnFy5+uXE+5ThD4Svlvirfi/H4pGXACY7fD4cfH26mbuMQMd8Va6jMVs2UPL0ph8v8Xvf3usmzOHeNt/x7l+U9x9l4FdLBoXyU45nF3GBmQId3CZBAi33G0tLphfNEtyP4/xoYauePE20pGWDhdx5fsv3YXXcOnGnP2c9JblgnUtpc88sGDrO899e6Dg9xvKHqIgYNKBqf4/103EQyo1bQN7iE91SvdeqPlApMThWLAHJw1Zni5GYSaZ+ECHOPcn50qf3s0EBhDDEaUWfi7jEyEes9BioDAIC9fiFUhdNwFSd5k/buGkOvLmOOjDZIaiTYs2uA1iFKg4lkofXPYcw8wA76wOnEFkFHqTmHwh+Ad3EnQZBdp0lyMkCSLrAdoUtQjSwPebqhmI9QsA3UwXABibFB+amsVoMNxJcUdEZB8MBH1C961DWsWwzZijNGfPaegMtBwicPUSGrCmmWcY7x0chdpCBFeM4ni8vtF2C2KIx2Dp5UGQZxCMOwM81UU9Yhk6dKToWWBkQDgIUnsRD1B7TQYh04q4XFx0ArAMTCUMlPEUh0Gw4hUzIoc4PnBCgOBZ6hIGo7dOjA1zBT18++iXv6kLMD3E0G4kTMmyBsGCJkFIzElnuChMBDx8PmWstfGZBcliCiodFeMYxnWBvAgSsBrWsk3o3Zm1lKH84UMh3nWnLEliJ1M2AelMTIX4lk0IxEZfguTEN00o+mEXyhTkkDqsQM9chodAn8EAWERXdbhRYdv5pCjiX4l/e9+PjyPgf5/jQbS4AsUUijBBQDXpPXTyFAOwCakmwsEQZEz4nkh+E2BjBEPTa1IqrAogIDGWlYf6Ng2O6MFBYH8ksg8HrMglUkLJAqTgDEm+oKEq942c/7ZTGg8SEmNX1RSewICEvE2a/VDiB1xhJ91PDkQgomV9zm45xkNs0RC5FHYdCiWbwQhvSd5Q9L0JwAbn66MEhKIKEEYxAClChSb7w7CWfgyYIcYHZkI+8gQkgBvE0yCHYQNHfZHXXeF42BeFpbuEr0R2oBynsWCXIMkiWCWQzvOYMm4XilplJzGMGdRsDrP2ttAxO+FZLnGSRiTqIZgE7ds/Ol9yY3hxiH2BBTkSARAIkTZnAcjTbE7EgpJvTrAfbb5acSdalBOyUsBhSQdAF3dhIjBRGBEQgIBx6kX+XpfQHWSivuJbjC8CbYicTYThGoJ3V8B7cysChpfScSDyOqYBqx5rwCQsFxEWQUDBhoOFa4vA5zukgqyD/T4qU6PZwScO2SwsugtHftQgiwFxcdoCYHiF4X/w80nHlu5BhDS/kDMTyi+nkkCUnGCUdJs9HeTSGPnfpHOohJ9AprWg3NeX9hxBYYMWqNk5D1PbOgzvimdJf0kO59New+cnjGORsrGhQD+vAXZ8P4KZ+xCow3EbzoRAj8EO9i3lEiDQZs9z/dwqkZC+sVoayDEkkE20UMgwA/d4etXaH65kmxQjZLQ/AdAKQigbCGNfX7PWXsu08JrJcVLCub1Tgefz1D7RB/kHnE2EepF6s4WIDT2oNE713cYlh/ZZUcVslBSAq6QMJDDAfXCNiICcJYlllNIZUR8Ic+m9liDMK9/nH5MDD/KYls7EBfsIYc2dUMIBg9tIXM/vqFJZJCRU5x3RTedrtYcOx5cBqIAT313+WDgCScJ0BrWjGIrQrD+2Pr3C/qYXtrHp7x66MgEHYGo6DwgLBwTxXJoD2+QUN+XpKGpLBSBlKKEJQFG8tBKQyOyLCGVgIvJIOa96qJ7ioqr7i4AgaVhekwMYMtYjxYWQg60iEbA/xC0sPKD+7/CMkMk4SFIbStYmxB4X1hZ8dK35yHpogyEJBIBJGB4lK9dC2jfpbwSxmYHs1Nxp1KVqfUjzJoTY6NSBKJBBPGYSHdKSgkgSdIcyXhWopWNCC3WtOqpyzLSaEldyJNOr8l1KKswiRVKegLDaVGyRq+FqlKLSbSGmIRl3rKYbluDbSuQHa1xK42N+sFROiYKQ2Km2kIHQtI37KxF/L+z9EMOq5UJKKQpmjtojKAq20sI4NvJgVAKlhKRpEBCaXtRKN3UdrXu8J5GT54qFhbWKt9pifmGdAyDCHb3n220pZjCYmKAkKzBLSgYgLYYtImg7D94lGMPmc+CuTrD96SaQDw+5xhExiICHHARJKhBCbY2NoBtiG6SG7eWTfD5x+etybEcNZmR5TyOwHhLgGznoOXSDc/ujb0R/S7FS01exB+bvlfQGGT7gxjWREMGzR5SoF2h9wsziuHMZDMhfn1wL2jA6nkD5JEz2QLIbQYHzDt/QvVuMDLqjwch2hEDYDCRiZ6fkwbifLIA+h3Jqnd8gqPeFBaLKUPLEynaWFkPqIePQRDUR0DUswnr9Ped3Ze/HZf0ezHPbN8gzVLhTBJBLkx0iRffVFK4K6eApGEnGTNSJC1KkVTwRRDnBYPagkgEEaZYF9s4k2xsLaNACb+Yrh8hyLbQpDYESPdtfuWfryNYGDvhCttDOhtQ2FLOwFDL2wEgQWcTl2/dI+9qN+TDOeYngGAL40vu8DNDAzbgUUCUopSkzC2ZcZov3l71xMjNnNsKNQLhPtmOwWxTFx0IcmuUwMEaw79CNAZF0agQCHUzwEIgdFY4cQNwKycwFXSeeZQDhuYpu8RXtoLSK6s3g+oHM4dKmZdwdC/g+LnLpjYUs4CgOO/MqssaeSK0IOERPlNi175q3JV6i66vhCttK8WHFFASHcOwq1AtiBAcCJ5DHGoqLbLinnUBoDiBJaXeYGa3FC5VW4cQQmAKAfUUcuNZnXWcJY4wiHTduGOiWclgPXObwNe2LaBqH1du5As0dCyEIkS7ny3TQZINJixK5HUHGuHIBgUZpQFJdxZcNJWZnIApCQNW9AISNKskQ8uFCBoOzSDSU5tw5R/0FmJSz40nHaPJZymG4irs0AhPMnZOoM8rRTQCtgI2mJVFwOqWsLCwBmYZ1q00lfQNL0vtYHMFeKTi6WojMWLhxDhqB6nMsrwEKgjBdkUqLZAQJdZQm8d70SxLFZEEOnVY5R3HqNXt2SlBIAiHXe6gIoojBKtK4Y1VVwpnZLmjMgMltC7OoQM0Zg9FGxG7xFuIIkGAoII9DbcdLrD3MYTQ4QZWTz1BzUpIVlYuK3vBcalQMPYoicEZzI6kQ5wM/nzw4FiRIIyLDId82gh0DAGpDbEo4nMchcDBYSCHGFMeQzOAYmYZglA25lqEQsOJCzYbBzDBoLZpuDOcJD9qUWS0DTIb6/nHrzh+7RtMG5fsH0B4cHYG0ndJD+msGKJBEUGJZn+XgZQGMA5mCcB1YbWpwLn4jdZ20U32OuPdrc1k5Buhc2iIjLy0YAzqhKTeUocXAio1QsTx6oGnkXBil/4KB86fcmeZQt3cTI5YeBuUF0MjQc7A7XeUBvIZx0IJ93l/FaPTlwgih7zTR6eQ2bTtEPsCDtDRQ/NFPeYiMkfHjdihD3Eda4URSgVGZpQKdzJmjXZfSFiYGlElRkkogMAqEl8x4PqPoWALmP5bhfc4cboK3B7F/RktEg70DNDf1/ejn5DBO+gCxsodQ0pMBnZ6AlzAQikgnGHP0sBmXPiTO51RRkVEhASQUrokFTFeQVF3F/XkfLyrwt2Qb+niRM1JrV+6CShMaBMOYB0hQOVYoe2UKzyHLi1NoAJFatIXkIgpdJS191nCMTMJGlmCXM5BgqjaokqouL0yxnUkBb8gaWck/b8ys9o02MIZI1LajpFU42DMxYYDMWcDLPnympbbpeON0qoYxMEKi4oQIy7CxS+lhj4QBINUNjjTasD0qMKdC5qtsFxpqEOhuXOFI1NP4TWsFmgzUMBMGoTIZqh2KKOldPaZOJcNRDZOC7GzhnPfrz1zfV9hEGM43AowDkgaRZJBhCRAMxoGxO0fe0KkRiwWSAxSAHT8HrvBNwK68QNrhi2HihAhIjFXGr+Q5qJPGqAgROZlZEpZiKXcIJROQEgWsN+9DzJIRSI7QMGnTX2d+BNwi8cAjkGLA+T4Tngwh5R5cmnfRYn6I8a4d5HN16j8f+2Mx9po2dwewkCQj65CyhquoU71WZFpQnWJ/9FA+Q5u8no9J7GP0+hm8kmchYjGlgjFaUrCtghUhYQxbDoYblhDIMEVkJVEhRApZZFRBixgRBEVRIstqUL/zEKJgZEZUsYU9uvrNYx5ZCqP6hv2jxPdk7oSdlNK4AMoE8RIEDUSCMSpYJQC7oH9PkmOQChdrJWb/MzUPr+yHHskWcwc3e8IPOHURIBBOhfkDU89le3X5vlPR2IuBiYjZNfAenu+QgT88ZW7k5A8d8aQSSsGWjSvMTWRoQupCimRIoCtlLA7laQYNAiRGM5NNzMzklFGD+gyTRkYoxggj8homZv23THzInJnD4jEVPzq+p6dqPtYPGvzeXUWhQ+Pt5E6pOsTYo3T21sGYsNiYufRdOX88Z3ig1WknmehAb2qPev5Wtx5Zzmxdj9nAeJN/HZ9V6Rn+P7z5j4dYMGWl+lMXSnEQKbKVuA2sYBBNxHLcFAFA6NShSwpJtLVApO3z6UT1Kh4M4g6BBIxUeEv0Go0nHAw75GTddwjG1RA0jj2WKGw8jDPOMyUtaDffKqLGdUoCCAXFdW+kvmMGtwDCNA1ghaGBmwYMEnFSECFUiV0J8HNqXrLt8YmMBdlRGlkLEIvnBqCyEGZY2sLPAbMDJEKXrNgzDIExp3Zgw4fU5FFxZSAmBFlP7vAf4GBchSciCKEVT8jGkpYwFCpRBEshIjIE44NcEyfzH+kyAqBUV4YhdCFSXDeYgefmdgrK217HgkUL0T0cosn5cOn0obFZR/TdAY8mxg2wYmyMzPiZQEkDOe/AEMwP4lFIgAXdD4aQ7g6aWJPNo/QtCCHEHMiQZ4BQ/LuwSh/ag/XCuESRRhxTMgeZy/gdPMV+cDSJEiB289ujMwt3y4GjCaWOzB7jQMvoVMu59jsc6Imd8PHBwsPoK1FasTT8fjkLab3q2ne9auwDxm03Uu5UXz9Yley5S0KEegCJszOUsSurycJnIOqYQLSlSmbw8ZqZdMFvZUusTIyKTInWj6iBuORfmGx9uMD7l6x4H1ahsflPhgncB5x2KsIAeMH+wgovCEVOTwNcw1RqKxAT8Pu8/UUBvn3D2JafdMCqU91pkcmCl9mCjHFbYlstpUofNSmLFiiy26hMJIf4i9UkD4sAFFBYB+RD0iZZ8p98wwgocSixYE/H+A7QmZAO3MA7R89gWSiuXoxj1RKPBA4lQaEL4Femp5HY1yTWztmdlaSuNlSvGIlQR3RW93X2cAqBPRa+IkKpfW7DEi34lQlJq0JV27uMJ3YIyecTwak5AhqcdyREcFCQFkk2tKWhbZJbftLjGRRn7S0mURxieQkKMOp65DY8YvFBbGejqXbrEBQiMiDIqqBFkIKwYJEgKQPPs5yCn1p9pBoYPOnQWg9Kr7dhEoXvQdojyiQkT56CkQgEJF9qdvaB3FGA2C5AQu1dow8TX0oIBa7GjgaYwsKg1vjeLKYGCIbzlBgaUfzie3x4DkH6YTTVDlQB+A0jXlps1nYkktqD69R2mlsFokjAIL4CMADKyCQ6i6zGMA+3379IPW2hpcAS9QUx2x6ySQbFsK1KL94sI7jEL0kLtn5DBF4XYDDIQNGfb2n3mA+rrWRVEVEvQyhoGZ7TrYZmq3rs4ZAf3gzzGjXfuN8oR4Dj8M/dbVapYwZBO1PMcwrok9GSnKcDLmg8ygrQm+0pdmG7FixV0tE+aDCQlB+ktXEpF9gr1BVrxS8dI4dlCPoUJE3tUW9M2IQJ9XM5SYzRciDgG1x5lzlPM8D/U1xf08AbgcWQ7Phv0PEYg+gHLojten6etGECESBIEGBAAQIOzsKfx6S8PJ+Sn70E5RDamIGxmw0ZEdJ8EbJiQx4/icfDFugzkXNYlSlVlpVqGDOcSC61UPxUtGwMyl9OKCiwRI4KltYijCqwlVKxRtCtWaaDsFBkzKaEWJc4kVKJQrSwalS030azRCaAEDJIgTUgU/o2DqcL5e2zsiPrnZFf4sU9QQOIjA5CcUAhAZyA7x5eMcigRQ9yl0PA+0j7iggQKgu/8ev94OaC/eBZu0JXg2N7sIJjJCNPJJusNZcJFbulDlKlA0Rb2fVoXDqbAogQsCAlUWt98aSqFwWXd28TEVTWFTWHcsanblsAGw4Gfbr8yyxvqQjFnSJOzJYut0gHFPESRWCBAGIbe5EIsDZnSjgQ1RDEFyS1oxkw4fUaELODmVgoUIDqda6bnzGGR6a406b43vdvwkuXcDW5+dVFxawTA0iUbXnJJCZFjR71eQ4+hX+cwKsaUcwk0UymMflogbB9Vuv+J2ncyVX3EhgusM1AEgdz6POBbxnbD0yHj8gY6CI9BLESsWlGkVEgiUQWJSChVQikRiEFqLLBStBJIm3UxLMd5wAe4iF7isQFIYrF7EffeZkUkCTl7A3lOMKs3iujOCOCQ9y39c3p0awDd2IwEGJmWDBnWcyFtZ2RBkYrr6Xfy0PUdJAcBxuSQbED8cVUocjDQJYeJuYY9ofX2T6Ove+mwpsJYkPNyvUpIkuh9OV+oj9gJAkmbsICmyEE7IVKd9LZ1uMIIIKBQt8eIUSYmy4BBCsqfSlNbahkP9iejYlOIOoMsowjYb4JjNzuamjAmQtBk0gloYClIMiCKqilluIC2mi1k0riCYLSulYlLGui0ZLm2NZYBjNgQuDEYDeWMPFDMiiklYSqoxWCAIgmMZcZGJZmIZ0w6VnkPKCxsaBEXTzqPArKkUhxNgyYogyBmZUUXdoMhwrPhPVElhsdYeBVAs9CZ3iHFhYSAsk0kObA7EMs6MBxERKrzK9JjJJBNw6i0EHIEpKApRQQ4pjlz7PcX2e84DcZNHkICKKfhyMsGs5YAQkCHbZQ81cSO5TmTfWvUJLUvrIrCwvTNzkFmhShWVKFtljowBErGYgWREMkMEaGaG0CUkposBzgpKGKRYAiLFgKCyKEgyMCIJISK50qEYhsFwFAp6XAHMQLM12VI6gQBLgCGq8FCEHPt+XgGOCQOgeUE2/P1C/9hhO4oqQnSQI18c+ew/9DOwWvEbEk3uTAaYnkcml1dXA8iWTrhZewLoIi9REhEUh00HZA5eY89w30swAwrDT5s8CHp8j1xPLB4iGIVjBMixu5QNEFpP05K2DcgwFCAIgJCLICJFgiELQKGShViDFpKFKFYkxE9GcmNs5wxRtJRGIgMRBIap17Xm+be8dw124hvIcRD6Txr9h4ZPamW+yw/yDEd3xfn/WNNCgzdDHDoL4H5Vx10UJNlxY1sihirrA1lAeKBH5DTSaAwOCMk1vnufWPlTmQT3l5IfwUn6OkpmubZYdHH1RhA3DlShYH3l54KY6gA8wtDgpB0HIV5TUeYzBH9IL6v3DrVB2qMRVGMYxkDl7OpgyYQ7f0N9+jpIGTNDEoZEh9XGjECfxMAPeBkEFASICyHShYgWrCBQRGSSsPHzLJkhqFCOaD+ZHSCaaNCoVdKYXW/jhoKKLWMWQ0tJXuHzN9DM6C4zAKCR05pXjCsMmtT4gGSYxROYedKGIk/cwMMKCQN0MJDIyMHNpUM5UBdJCic6QNhvlXoQXliOtr9V2BJi5ZGQSJUSZQ4k9iGWTmECgy4jSSISA9qAu4iKvWsBHG2JDceue389HjMHpKKhUuIUS4yMlQed9C7IBEQ14zoiD9kF8CIFkABoT6Uaz2oGlUoDDKKn4AnuObOPJsYMWlkhdAgXIF3hlzP4/do2kUY2cj0In9LkckkispAnMe70W1D4OAlH0bhDekX2RJBa5zqOlJA/LQlAr6GBOTyMVFmeNDHv88HzHgyTqBE/fCsXy6jGDY70qDcmIpRJYMOoEgGjrFwWF6moGnBIYKDMGjMcxDvbDp7SAdidBHqCBQEEJU9WH5AYGhzAYHsLEjAvQ19F4dt7ofC8jubY5r5Yb+hnlYlzlhoARJBpDjYpWeByxcWnilDRCbZzHqB6iAR6Nwv5BawdSvbYJopEJiGboNfmvk/PoQ3JJTTQH6wlDcMQsFtDdvqX3cs5a48S6hqH+NXhIVZv1ocBAuOpCKJGlrH7EXQHhwYE2FVUkEGAIJIIIAsigwJIirFIyAyQvIe/hO3B9BpJQ+iPzxAoSE6myPzdeKGDoJIQ+jkRM6CcYw4t1BhT4KcMMR8bqsXZITt+u7kj+2JgAgvfmcpXm2KUvWjrBLYtmXW5vimth5GAc8Gr21zN24VehsmHVVecrdAkd9AwWlGv1Ts5DzTlbHmWJwBVAQGiJamebnXlWoEBwA7FgTgiBn1DDumUAcB7+7LvMkqZekYeV3DozQpIhJ9VHreqjE1lU0eIgfYAgmqZdhnZesGAci1eLUyZjoe9nkE8GSrWHhzNdh9zITJHJm85ASGuzdgzHtCRImwjN24uvgLbiGo0c529gSJgpnvqg90yvvLoporjMgy0fpLcUigxIiGjFkDAljclkiSCSsK1FiiDMJekQC+kaG1DEiYxiQK4QrUNYgYxsy6ZabULRyVxWtOZWnbylHbg1ZdIIFEIjRoUdBozMTNNkMBktmhNTG4Xm4HOrijR2EKmeCWET+AYifMB8xiVAS4Ymzp4TTJaxElw18kBAqA2DYEVRRO6Had5iSeBAmA0DFtxfqLjUZrFl0oU+ot5aHWchXGJCkD83pA9tmkg9xyOTMcfjPGu3RmyTLQRKjcCobEhuotmbb2RCGz1sbEc57+AR6/CA2HNbyIC1MO5wC1OEuchRAYHJFcXAOKWUaJqhelC4oQxlH700Xgw9X22lyT7QooeHiR3mLi6IzSSevc9lEPTQ7DXahS0KCHMTMV9XcU36XvSfoSz3J2+yE5AyQEug7EU599N0MoUayde+zNr+H8tyZaJS0o2L9WMP9jlxXA24FYczENcXPMrqA1Z3ybzqPUEB1pCR9AJkyT+GzWIFc2h61YIySxAm4EgYoF9SD8QP9DCdh+XQNiHkBwlboptBgXUQAknwqcSW+ZnwI6sRDyBPqYbuzM6o9EnZ1l3NT2oB9/j8Q3GXKoYTm5S3zSEkkARuKIiua+eMRAq3BiQWyUUjDANAtAmzJByEw4pKgURGRBhEKggMgCIRFQGg0FJIRRYslCWJZRlQGUBEKAMOlKILGDEs7TtFgDIJkptCBO9qGR2zfeUIbC+VDCWEockkH2dRWPGqmw7iT38lLCrnoVF9KcQ72h0p7e+Hwtfad5cfFWXgZYQ6LMhGLhfBVB/ZxGYdg0pi7yDdjKhHK1zGY5MN6YElZeQiYQthX1BMzVQacBBMQuWn3IGdpg25mvIsNpxkqcy0yNQkqhzMhTnzA8gQBe7siG1ARlOR6TF/G+bHBCEob5P4vcEhpEUlkO5qHbW7jkxD9wt2nmCkJVlkRQpQKi+5msobBlWkzYihJnYvImtLUiKlZUkD3J0h2hNLHGAbcQZJd5Tm+HMZZECaVoXDtFu9vFCkJMKGLkfR1hxSQ0KDDUDK07auswB76xdDNNh5GdTNQpwMawANRlrHeE1liL8saXFzlLb78/uV1wXpaEJXDQdxrMiBlhQJBltCQilJCxOR3swBFELkWILjMCM+1rNYE04VhtFGBuY7t1KSN8UVnKlikbJJbHVEIRJ8MPfcBgthyI/0hh4R+bCuLECCdSgExG9k9hzy8G+J2u3BasTOqac6LUWUc8UWi3cemstAEEHtTyLUX1mJvYviOQexkGOwsAChIowy0H0biHkwnDoPakFKfBKgCjyTLPDaVClFgPpf4MC4AZ9VCBXZb9Q0jIYZyBwmDKszEp8ZTBg8ZZuhlEYgqwiwjQECkzkpAthgJgi5JkCSBoYJheeK0g+bho1shPeu3DMiHT7zuKaNBvMDCAJ6fKi48sYWUTFsB/uZousyhoSxiCOWRQuClYM/Lq5hMlVi+LRcFdOCMaghBg8TJIiORU1GrmEcFFd1WQuVCoilCIY0hOmyDRiig3nW/HB9OK6B4t1CmO4OSIvbAbaCTWur6A6sOUyqqDhYdx5eKIcinGkV0NGgWzdEneqoisVY+V6ZCX+PX9ThTLsOszXv2ER4PCEDxgk43VvZEQQs7g8ggxW2j70H5iud4YLAPBtr84YWOoOAuTCxw9UHI1oiCaHYbueSgR0apYGjuxYYwjBJYkjlhu9lDbIBmRRBSMYwRHYVHGAxPxiYMQpFrKW1gAwkQSIAsAIdMQ6UQsbWBG3ouUc5lRZeLqAZCxxkuJVW0MYolZDBiQDBihJFlAEnaLIbs6dxg6xoi1L2WPqs7UyjqHy77mvInOGxuwYK5XWMMVMNTqQZZfzZqAYuQrwFo9c9wExpGdEkXTcZThyuiYC6OOGYe+Py3qGMSNBhuBYMXQUyMxlg1AmhRZM7R4juSHOW2qpcAB43MJsfpZ24KCeiHpiAfYfLBEzPyPU3EvFsjEH3/IfH3evx755DmxoewKnVojoOuMVqkFZupOTLqi+kh7pT87zCEHGsGyumV8WJFmBkCWbijskBDAVMD6zIGgoGYCpWRuYBgjmMUHBAlOwvKBNKSkxO1gg8NcIq2gxK6XZZWBl0QZwbJmCznSiIbCHIQ2TIIbYQoaIi0/DDTsNUGSsQ8ENW6bAoEIOQDgGHhwhvHNt6Bg5uTOvv3xbrs24hurARCQ0MKhB5zkKcpU7N5i6w5TYsQLTbG+bDc3LJCsZpdzEN2bbFJtqpRqcUm6LiE4sSJYsAgWsGCBAjjIuY7nsOrt9RMSJDzAiUJG1KqpsU4l6UkGYcCGqIEPaDawAgBYVDrUiAM5ozAY6pnEohDW8OCGZOObgMCRBjGMNGjNAxJpBRiQEQ1RTiYKIHAk4IhNgSbYOjg340IdIRQQwKMRkqRO/hDzkbG5znD2arTMGqASKW8JkFhkiYC2pCIxkS8gtogyAbAbSqYIh1b2RgrgKCMlFrsJImHF2vLx9HPmHIZDcN8cAhLGIsGcY7oxiSiy6aDAwg5FrhLKMDUD19HxGyt4mTyiQatxpdz7spKkRZlBmjVR0ZII9iQjgKeQQ5Afrd1OsSyKMiOYcBZY456Tj6XkJNzMk3GQMaRE9AhQTXQmBEiYDJiCAxYLIqNHIUhhizATs8n0dujfYq5qq0tEzKYRgi3GAGdpwbIIlh2hyKmbPlQkaJYQXjRmZs9UNOlS+xMHMSflFHptPu5csMPOIglJFpT6n0MMZKX5LRDaQcifIqD7CneyMnaBsHyeNklaanJU7jzMnfA4Eh+ZkhQhWBCkDvi0hoiBWcUrsmCsc+FcrFCwE4mkUvAobpYyky45IMKZjYKCGPYeHQKAFAoHLhejQaVb0XSXODPXn1s5TEUNkiPUhsIgTWiSwllRRmzSUkwbYCiDMywwZhKOSxiQ34+B5f6/Z3GztHuZTWcUo/rz4OGVsFpJSDUGiaDUAg1zHmiyMWJcmgvieaqqveIdAcgbe+YWojNP2nZkwaOL+anjiW2Btiqoqw5ELKfFDvyB1kMHoQo2j6FfnlR741Jt0cst5maQEIDGDFLlbQ1hR2nanAL0YLNhFJAgEQiB6y2FALtAgKbxcHTtPL4+j2dVMYSVT3Hd4GHG2JovjcZzCqw3BtEQYOLrExIYTM1KCjBspQQyUyW4iEjWZacMLkeRiuVBhINKlHEliPVxDhfWcalCgZAROE4gOrREmmaQ+H6RsYypBXrig5NgLn4IWtBwsnoIHn5G76xJN3UgcAnHaUSRBgIskgJUo1GDl/0WoSChjM+NSxyH2D7aAZoyAV47IXJghpgB7xi0SL0I6gKTYGH9E6PIRI21CloJYHOSeM/Z8312HX2FMT0QpcvZXq8MFh8uRbfASQqjFX9vHxrBvG6nsWGswdCOCx8GGaKGD1ZfAlpQzqhZIBYWQUCOSOfTWEhHpOY7TMhDz9F7mQ6QZ6g7Z7P4/z+/ugGlVFv9OJMCwGCkiQTOhYpvYoWiWy5BnebOP8RBDHYSl/SAh8jt4S6BQ+P74SL3CXzBguR1BgLtEz3XC1N97CQbTUhCCAvkEqr6ayOxmD2JlymDtgXCW43Igq2Y5zMIO2ChIUvyIxqFhpsT/fCApWsH0KCsLWFyJASzPghXHo9CxYPIuKgcGvMqxjSGEArMo1C4oN62X49fy9O6lEkvp/Q8LNg6sOJNyDNhtHZuFCdw0ohNMX7Bl0+33xk958gyOPcR1oGu1spdMfMjFSJIyGhIFZJRnckRYgqSBsQbfNQwaLjt7qA4uCkI9bK/fBReF4Q3s9tayuR7EYUu+YoxLOh4mc7jGw1dFCCb54OkKAJiDSUdHNITRSa4xbkmspXq6jTuiFZYbcAaholrvIHpsE8HfkqGwU35aTUNFHU4zhzASw6FzIrs8fVR29Z5W+2EnOgxKHZRMZ/8f1sLmn4/cElj7bpPIMAIEE1PSfcic0fEr7x+/8RfK937DJgeGOBP1bB4Iz7aH7/o+yf/F3JFOFCQg2n9sgA==')))
\ No newline at end of file
diff --git a/examples/autolab_token_upload/tmp/cs101/src/student_sources.zip b/examples/autolab_token_upload/tmp/cs101/src/student_sources.zip
deleted file mode 100644
index 5c534a2a9dd368e3b46691167b3447b3e11b66c4..0000000000000000000000000000000000000000
Binary files a/examples/autolab_token_upload/tmp/cs101/src/student_sources.zip and /dev/null differ
diff --git a/examples/autolab_token_upload/tmp/cs102/autograde-Makefile b/examples/autolab_token_upload/tmp/cs102/autograde-Makefile
deleted file mode 100644
index 6271b0eec055d104c95772f298fce53c4638f050..0000000000000000000000000000000000000000
--- a/examples/autolab_token_upload/tmp/cs102/autograde-Makefile
+++ /dev/null
@@ -1,7 +0,0 @@
-all:
-	tar xf autograde.tar
-	cp Report2_handin.token cs102-handout
-	(cd cs102-handout; python3 driver_python.py)
-
-clean:
-	rm -rf *~ hello3-handout
\ No newline at end of file
diff --git a/examples/autolab_token_upload/tmp/cs102/autograde.tar b/examples/autolab_token_upload/tmp/cs102/autograde.tar
deleted file mode 100644
index a1c603b811ed5be1b9e3859dca39473006d40110..0000000000000000000000000000000000000000
Binary files a/examples/autolab_token_upload/tmp/cs102/autograde.tar and /dev/null differ
diff --git a/examples/autolab_token_upload/tmp/cs102/cs102-handout.tar b/examples/autolab_token_upload/tmp/cs102/cs102-handout.tar
deleted file mode 100644
index a1c603b811ed5be1b9e3859dca39473006d40110..0000000000000000000000000000000000000000
Binary files a/examples/autolab_token_upload/tmp/cs102/cs102-handout.tar and /dev/null differ
diff --git a/examples/autolab_token_upload/tmp/cs102/cs102-handout/Report2_handin.token b/examples/autolab_token_upload/tmp/cs102/cs102-handout/Report2_handin.token
deleted file mode 100644
index d5fc9cff10ea529c942f24d12db19ecc312aac5f..0000000000000000000000000000000000000000
--- a/examples/autolab_token_upload/tmp/cs102/cs102-handout/Report2_handin.token
+++ /dev/null
@@ -1,253 +0,0 @@
-# This file contains your results. Do not edit its content. Simply upload it as it is. 
-### Content of cs102/report2.py ###
-
-from unitgrade.framework import Report
-from unitgrade.evaluate import evaluate_report_student
-from cs102.homework1 import add, reverse_list
-from unitgrade import UTestCase, cache  
-
-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])) 
-
-    def test_output_capture(self):
-        with self.capture() as out:
-            print("hello world 42")                     # Genereate some output (i.e. in a homework script)
-        self.assertEqual(out.numbers[0], 42)            # out.numbers is a list of all numbers generated
-        self.assertEqual(out.output, "hello world 42")  # you can also access the raw output.
-
-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 
-
-    def ex_test_output_capture(self):
-        with self.capture() as out:
-            print("hello world 42")                     # Genereate some output (i.e. in a homework script)
-        self.assertEqual(out.numbers[0], 42)            # out.numbers is a list of all numbers generated
-        self.assertEqual(out.output, "hello world 42")  # you can also access the raw output.
-
-
-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  
-
-
-import cs102
-class Report2(Report):
-    title = "CS 102 Report 2"
-    questions = [(Week1, 10), (Week1Titles, 6)]
-    pack_imports = [cs102]
-
-if __name__ == "__main__":
-    evaluate_report_student(Report2(), unmute=True)
-
-
-### Content of cs102/homework1.py ###
-
-def reverse_list(mylist): 
-    """
-    Given a list 'mylist' returns a list consisting of the same elements in reverse order. E.g.
-    reverse_list([1,2,3]) should return [3,2,1] (as a list).
-    """
-    # TODO: 1 lines missing.
-    raise NotImplementedError("Implement function body")
-
-def add(a,b): 
-    """ Given two numbers `a` and `b` this function should simply return their sum:
-    > add(a,b) = a+b """
-    # TODO: 1 lines missing.
-    raise NotImplementedError("Implement function body")
-
-if __name__ == "__main__":
-    # Example usage:
-    print(f"Your result of 2 + 2 = {add(2,2)}")
-    print(f"Reversing a small list", reverse_list([2,3,5,7]))
----------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
-38e06b097be3d8fc44441a13a5ece76ce76b05ffab5e0ddbcdb4275b0eb4f8f15cf727027ef517154b4e07a5de71dbce0b7c8b7a18286cd6191118c81d5f10ea 28268
----------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
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\ No newline at end of file
diff --git a/examples/autolab_token_upload/tmp/cs102/cs102-handout/driver_python.py b/examples/autolab_token_upload/tmp/cs102/cs102-handout/driver_python.py
deleted file mode 100644
index 7e5dfc87253beea6b6ab26307fc5c7eb63ea2ec0..0000000000000000000000000000000000000000
--- a/examples/autolab_token_upload/tmp/cs102/cs102-handout/driver_python.py
+++ /dev/null
@@ -1,87 +0,0 @@
-import os
-import glob
-import shutil
-import sys
-import subprocess
-from unitgrade_private.autolab.autolab import format_autolab_json
-from unitgrade_private.docker_helpers import student_token_file_runner
-from unitgrade_private import load_token
-import time
-
-verbose = False
-tag = "[driver_python.py]"
-
-if not verbose:
-    print("="*10)
-    print(tag, "Starting unitgrade evaluation...")
-
-sys.stderr = sys.stdout
-wdir = os.getcwd()
-
-def pfiles():
-    print("> Files in dir:")
-    for f in glob.glob(wdir + "/*"):
-        print(f)
-    print("---")
-
-handin_filename = "Report2_handin.token"
-student_token_file = 'Report2_handin.token'
-instructor_grade_script = 'report2_grade.py'
-grade_file_relative_destination = "cs102/report2_grade.py"
-host_tmp_dir = wdir + "/tmp"
-homework_file = ""
-# homework_file = ""
-student_should_upload_token =  # Add these from template.
-
-if not verbose:
-    pfiles()
-    print(f"{host_tmp_dir=}")
-    print(f"{student_token_file=}")
-    print(f"{instructor_grade_script=}")
-
-
-
-command, host_tmp_dir, token = student_token_file_runner(host_tmp_dir, student_token_file, instructor_grade_script, grade_file_relative_destination)
-# Alternatively. Unzip the .token file of the student (true version). Overwrite the .py file with the one uploaded, then
-# run the stuff.
-if not student_should_upload_token:
-    """ Add the student homework to the right location. """
-    print("Moving from", os.path.basename(handin_filename), "to", handin_filename)
-    print("file exists?", os.path.isfile(os.path.basename(handin_filename)))
-    shutil.move(os.path.basename(handin_filename), host_tmp_dir + "/" + handin_filename)
-
-command = f"cd tmp && {command} --noprogress --autolab"
-
-def rcom(cm):
-    rs = subprocess.run(cm, capture_output=True, text=True, shell=True)
-    print(rs.stdout)
-    if len(rs.stderr) > 0:
-        print(tag, "There were errors in executing the file:")
-        print(rs.stderr)
-
-start = time.time()
-rcom(command)
-ls = glob.glob(token)
-f = ls[0]
-results, _ = load_token(ls[0])
-
-if verbose:
-    print(f"{token=}")
-    print(results['total'])
-
-format_autolab_json(results)
-
-# if os.path.exists(host_tmp_dir):
-#     shutil.rmtree(host_tmp_dir)
-# with io.BytesIO(sources['zipfile']) as zb:
-#     with zipfile.ZipFile(zb) as zip:
-#         zip.extractall(host_tmp_dir
-# print("="*10)
-# print('{"scores": {"Correctness": 100,  "Problem 1": 4}}')
-## Format the scores here.
-
-# sc = [('Total', results['total'][0])] + [(q['title'], q['obtained']) for k, q in results['details'].items()]
-# ss = ", ".join([f'"{t}": {s}' for t, s in sc])
-# scores = '{"scores": {' + ss + '}}'
-# print('{"_presentation": "semantic"}')
-# print(scores)
diff --git a/examples/autolab_token_upload/tmp/cs102/cs102-handout/report2_grade.py b/examples/autolab_token_upload/tmp/cs102/cs102-handout/report2_grade.py
deleted file mode 100644
index cb89f5a40b86e7388e579a0696d75b02fc26b199..0000000000000000000000000000000000000000
--- a/examples/autolab_token_upload/tmp/cs102/cs102-handout/report2_grade.py
+++ /dev/null
@@ -1,4 +0,0 @@
-# cs102/report2_test.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('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')))
\ No newline at end of file
diff --git a/examples/autolab_token_upload/tmp/cs102/cs102-handout/student_sources.zip b/examples/autolab_token_upload/tmp/cs102/cs102-handout/student_sources.zip
deleted file mode 100644
index f29b4caddf48034e22b6e375d7798a41d324194d..0000000000000000000000000000000000000000
Binary files a/examples/autolab_token_upload/tmp/cs102/cs102-handout/student_sources.zip and /dev/null differ
diff --git a/examples/autolab_token_upload/tmp/cs102/cs102.yml b/examples/autolab_token_upload/tmp/cs102/cs102.yml
deleted file mode 100644
index 7e0d53bb05e51720df3de35d258e214a06c03d10..0000000000000000000000000000000000000000
--- a/examples/autolab_token_upload/tmp/cs102/cs102.yml
+++ /dev/null
@@ -1,33 +0,0 @@
----
-
-general:
-  name: cs102
-  description: ''
-  display_name: CS 102 Report 2
-  handin_filename: Report2_handin.token
-  handin_directory: handin
-  max_grace_days: 0
-  handout: cs102-handout.tar
-  writeup: writeup/cs102.html
-  max_submissions: -1
-  disable_handins: false
-  max_size: 2
-  has_svn: false
-  category_name: Lab
-problems:
-
-  - name: Unitgrade score
-    description: ''
-    max_score: 16
-    optional: false
-
-autograder:
-  autograde_timeout: 180
-  autograde_image: tango_python_tue
-  release_score: true
-
-# problems:
-# - name: Correctness
-#  description: ''
-#  max_score: 100.0
-#  optional: false
\ No newline at end of file
diff --git a/examples/autolab_token_upload/tmp/cs102/src/Report2_handin.token b/examples/autolab_token_upload/tmp/cs102/src/Report2_handin.token
deleted file mode 100644
index d5fc9cff10ea529c942f24d12db19ecc312aac5f..0000000000000000000000000000000000000000
--- a/examples/autolab_token_upload/tmp/cs102/src/Report2_handin.token
+++ /dev/null
@@ -1,253 +0,0 @@
-# This file contains your results. Do not edit its content. Simply upload it as it is. 
-### Content of cs102/report2.py ###
-
-from unitgrade.framework import Report
-from unitgrade.evaluate import evaluate_report_student
-from cs102.homework1 import add, reverse_list
-from unitgrade import UTestCase, cache  
-
-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])) 
-
-    def test_output_capture(self):
-        with self.capture() as out:
-            print("hello world 42")                     # Genereate some output (i.e. in a homework script)
-        self.assertEqual(out.numbers[0], 42)            # out.numbers is a list of all numbers generated
-        self.assertEqual(out.output, "hello world 42")  # you can also access the raw output.
-
-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 
-
-    def ex_test_output_capture(self):
-        with self.capture() as out:
-            print("hello world 42")                     # Genereate some output (i.e. in a homework script)
-        self.assertEqual(out.numbers[0], 42)            # out.numbers is a list of all numbers generated
-        self.assertEqual(out.output, "hello world 42")  # you can also access the raw output.
-
-
-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  
-
-
-import cs102
-class Report2(Report):
-    title = "CS 102 Report 2"
-    questions = [(Week1, 10), (Week1Titles, 6)]
-    pack_imports = [cs102]
-
-if __name__ == "__main__":
-    evaluate_report_student(Report2(), unmute=True)
-
-
-### Content of cs102/homework1.py ###
-
-def reverse_list(mylist): 
-    """
-    Given a list 'mylist' returns a list consisting of the same elements in reverse order. E.g.
-    reverse_list([1,2,3]) should return [3,2,1] (as a list).
-    """
-    # TODO: 1 lines missing.
-    raise NotImplementedError("Implement function body")
-
-def add(a,b): 
-    """ Given two numbers `a` and `b` this function should simply return their sum:
-    > add(a,b) = a+b """
-    # TODO: 1 lines missing.
-    raise NotImplementedError("Implement function body")
-
-if __name__ == "__main__":
-    # Example usage:
-    print(f"Your result of 2 + 2 = {add(2,2)}")
-    print(f"Reversing a small list", reverse_list([2,3,5,7]))
----------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
-38e06b097be3d8fc44441a13a5ece76ce76b05ffab5e0ddbcdb4275b0eb4f8f15cf727027ef517154b4e07a5de71dbce0b7c8b7a18286cd6191118c81d5f10ea 28268
----------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
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\ No newline at end of file
diff --git a/examples/autolab_token_upload/tmp/cs102/src/driver_python.py b/examples/autolab_token_upload/tmp/cs102/src/driver_python.py
deleted file mode 100644
index 7e5dfc87253beea6b6ab26307fc5c7eb63ea2ec0..0000000000000000000000000000000000000000
--- a/examples/autolab_token_upload/tmp/cs102/src/driver_python.py
+++ /dev/null
@@ -1,87 +0,0 @@
-import os
-import glob
-import shutil
-import sys
-import subprocess
-from unitgrade_private.autolab.autolab import format_autolab_json
-from unitgrade_private.docker_helpers import student_token_file_runner
-from unitgrade_private import load_token
-import time
-
-verbose = False
-tag = "[driver_python.py]"
-
-if not verbose:
-    print("="*10)
-    print(tag, "Starting unitgrade evaluation...")
-
-sys.stderr = sys.stdout
-wdir = os.getcwd()
-
-def pfiles():
-    print("> Files in dir:")
-    for f in glob.glob(wdir + "/*"):
-        print(f)
-    print("---")
-
-handin_filename = "Report2_handin.token"
-student_token_file = 'Report2_handin.token'
-instructor_grade_script = 'report2_grade.py'
-grade_file_relative_destination = "cs102/report2_grade.py"
-host_tmp_dir = wdir + "/tmp"
-homework_file = ""
-# homework_file = ""
-student_should_upload_token =  # Add these from template.
-
-if not verbose:
-    pfiles()
-    print(f"{host_tmp_dir=}")
-    print(f"{student_token_file=}")
-    print(f"{instructor_grade_script=}")
-
-
-
-command, host_tmp_dir, token = student_token_file_runner(host_tmp_dir, student_token_file, instructor_grade_script, grade_file_relative_destination)
-# Alternatively. Unzip the .token file of the student (true version). Overwrite the .py file with the one uploaded, then
-# run the stuff.
-if not student_should_upload_token:
-    """ Add the student homework to the right location. """
-    print("Moving from", os.path.basename(handin_filename), "to", handin_filename)
-    print("file exists?", os.path.isfile(os.path.basename(handin_filename)))
-    shutil.move(os.path.basename(handin_filename), host_tmp_dir + "/" + handin_filename)
-
-command = f"cd tmp && {command} --noprogress --autolab"
-
-def rcom(cm):
-    rs = subprocess.run(cm, capture_output=True, text=True, shell=True)
-    print(rs.stdout)
-    if len(rs.stderr) > 0:
-        print(tag, "There were errors in executing the file:")
-        print(rs.stderr)
-
-start = time.time()
-rcom(command)
-ls = glob.glob(token)
-f = ls[0]
-results, _ = load_token(ls[0])
-
-if verbose:
-    print(f"{token=}")
-    print(results['total'])
-
-format_autolab_json(results)
-
-# if os.path.exists(host_tmp_dir):
-#     shutil.rmtree(host_tmp_dir)
-# with io.BytesIO(sources['zipfile']) as zb:
-#     with zipfile.ZipFile(zb) as zip:
-#         zip.extractall(host_tmp_dir
-# print("="*10)
-# print('{"scores": {"Correctness": 100,  "Problem 1": 4}}')
-## Format the scores here.
-
-# sc = [('Total', results['total'][0])] + [(q['title'], q['obtained']) for k, q in results['details'].items()]
-# ss = ", ".join([f'"{t}": {s}' for t, s in sc])
-# scores = '{"scores": {' + ss + '}}'
-# print('{"_presentation": "semantic"}')
-# print(scores)
diff --git a/examples/autolab_token_upload/tmp/cs102/src/driver_python.py-handout b/examples/autolab_token_upload/tmp/cs102/src/driver_python.py-handout
deleted file mode 100644
index 7e5dfc87253beea6b6ab26307fc5c7eb63ea2ec0..0000000000000000000000000000000000000000
--- a/examples/autolab_token_upload/tmp/cs102/src/driver_python.py-handout
+++ /dev/null
@@ -1,87 +0,0 @@
-import os
-import glob
-import shutil
-import sys
-import subprocess
-from unitgrade_private.autolab.autolab import format_autolab_json
-from unitgrade_private.docker_helpers import student_token_file_runner
-from unitgrade_private import load_token
-import time
-
-verbose = False
-tag = "[driver_python.py]"
-
-if not verbose:
-    print("="*10)
-    print(tag, "Starting unitgrade evaluation...")
-
-sys.stderr = sys.stdout
-wdir = os.getcwd()
-
-def pfiles():
-    print("> Files in dir:")
-    for f in glob.glob(wdir + "/*"):
-        print(f)
-    print("---")
-
-handin_filename = "Report2_handin.token"
-student_token_file = 'Report2_handin.token'
-instructor_grade_script = 'report2_grade.py'
-grade_file_relative_destination = "cs102/report2_grade.py"
-host_tmp_dir = wdir + "/tmp"
-homework_file = ""
-# homework_file = ""
-student_should_upload_token =  # Add these from template.
-
-if not verbose:
-    pfiles()
-    print(f"{host_tmp_dir=}")
-    print(f"{student_token_file=}")
-    print(f"{instructor_grade_script=}")
-
-
-
-command, host_tmp_dir, token = student_token_file_runner(host_tmp_dir, student_token_file, instructor_grade_script, grade_file_relative_destination)
-# Alternatively. Unzip the .token file of the student (true version). Overwrite the .py file with the one uploaded, then
-# run the stuff.
-if not student_should_upload_token:
-    """ Add the student homework to the right location. """
-    print("Moving from", os.path.basename(handin_filename), "to", handin_filename)
-    print("file exists?", os.path.isfile(os.path.basename(handin_filename)))
-    shutil.move(os.path.basename(handin_filename), host_tmp_dir + "/" + handin_filename)
-
-command = f"cd tmp && {command} --noprogress --autolab"
-
-def rcom(cm):
-    rs = subprocess.run(cm, capture_output=True, text=True, shell=True)
-    print(rs.stdout)
-    if len(rs.stderr) > 0:
-        print(tag, "There were errors in executing the file:")
-        print(rs.stderr)
-
-start = time.time()
-rcom(command)
-ls = glob.glob(token)
-f = ls[0]
-results, _ = load_token(ls[0])
-
-if verbose:
-    print(f"{token=}")
-    print(results['total'])
-
-format_autolab_json(results)
-
-# if os.path.exists(host_tmp_dir):
-#     shutil.rmtree(host_tmp_dir)
-# with io.BytesIO(sources['zipfile']) as zb:
-#     with zipfile.ZipFile(zb) as zip:
-#         zip.extractall(host_tmp_dir
-# print("="*10)
-# print('{"scores": {"Correctness": 100,  "Problem 1": 4}}')
-## Format the scores here.
-
-# sc = [('Total', results['total'][0])] + [(q['title'], q['obtained']) for k, q in results['details'].items()]
-# ss = ", ".join([f'"{t}": {s}' for t, s in sc])
-# scores = '{"scores": {' + ss + '}}'
-# print('{"_presentation": "semantic"}')
-# print(scores)
diff --git a/examples/autolab_token_upload/tmp/cs102/src/report2_grade.py b/examples/autolab_token_upload/tmp/cs102/src/report2_grade.py
deleted file mode 100644
index cb89f5a40b86e7388e579a0696d75b02fc26b199..0000000000000000000000000000000000000000
--- a/examples/autolab_token_upload/tmp/cs102/src/report2_grade.py
+++ /dev/null
@@ -1,4 +0,0 @@
-# cs102/report2_test.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('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')))
\ No newline at end of file
diff --git a/examples/autolab_token_upload/tmp/cs102/src/student_sources.zip b/examples/autolab_token_upload/tmp/cs102/src/student_sources.zip
deleted file mode 100644
index f29b4caddf48034e22b6e375d7798a41d324194d..0000000000000000000000000000000000000000
Binary files a/examples/autolab_token_upload/tmp/cs102/src/student_sources.zip and /dev/null differ
diff --git a/examples/example_autolab_deploy/autolab_courses.py b/examples/example_autolab_deploy/autolab_courses.py
index b73df36951980c5b4445bc74d4361409d8a1b3c7..b935ccf31c12c3f6b3b241cff11205de7e814fa0 100644
--- a/examples/example_autolab_deploy/autolab_courses.py
+++ b/examples/example_autolab_deploy/autolab_courses.py
@@ -1,11 +1,12 @@
 from unitgrade_private.autolab.autolab import new_deploy_assignment
 from unitgrade_private.docker_helpers import download_docker_images
 from unitgrade_private.docker_helpers import compile_docker_image
+from unitgrade_private.autolab.autolab import format_autolab_json
 
 if __name__ == "__main__":
     ## Step 1. Deploy the report file.
     # from report2_test import Report2
-    from report1intro import Report1Flat
+    from looping_tests import Report1Flat
     from stones_tests import StoneReport
     from unitgrade_private.hidden_create_files import setup_grade_file_report
     from snipper.snip_dir import snip_dir
@@ -21,17 +22,23 @@ if __name__ == "__main__":
     # Step 1: Download and compile docker grading image. You only need to do this once.  #!s=a
     download_docker_images("./docker") # Download docker images from gitlab (only do this once).
     dockerfile = f"./docker/docker_tango_python/Dockerfile"
-    autograde_image = 'tango_python_tue2'  # Tag given to the image in case you have multiple images.
+    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
 
+    from unitgrade_private import load_token
+    data, _ = load_token("../02105/instructor/week2/StoneReport_handin_10_of_10.token")
+    # data, _ = load_token("../example_framework/students/cs102/Report2_handin_3_of_16.token")
+    format_autolab_json(data, indent=2)
+
+
     # Step 2: Create the cs102.tar file from the grade scripts. #!s=b
     instructor_base = f"../02105/instructor/week2"
-    student_base = "../02631/instructor/week5"
+    student_base = "../02105/students/week2"
 
-    from report2_test import Report2
     # INSTRUCTOR_GRADE_FILE =
-    description = """ Hand in the file 'stones.py'. You can find the full example, including solution, here <a href="https://gitlab.compute.dtu.dk/tuhe/unitgrade_private/-/tree/master/examples/02631/instructor/week5">here</a>"""
-    output_tar = new_deploy_assignment("02105week2",  # Autolab name of assignment (and name of .tar file)
+    description = """ Hand in the file stones.py. You can find the full example, including solution, at https://gitlab.compute.dtu.dk/tuhe/unitgrade_private/-/tree/master/examples/02105/instructor/week2 """
+    # description = "This is the stones-problem"
+    output_tar = new_deploy_assignment("c02105week2",  # Autolab name of assignment (and name of .tar file)
                                    INSTRUCTOR_BASE=instructor_base,
                                    INSTRUCTOR_GRADE_FILE=f"{instructor_base}/stones_tests_grade.py",
                                    STUDENT_BASE=student_base,
@@ -39,6 +46,19 @@ if __name__ == "__main__":
                                    homework_file="stones.py",
                                    description=description)
 
+    instructor_base = f"../02631/instructor/week5"
+    student_base = "../02631/students/week5"
+
+    # INSTRUCTOR_GRADE_FILE =
+    description = """ Hand in the file looping.py. You can find the full example, including solution, at https://gitlab.compute.dtu.dk/tuhe/unitgrade_private/-/tree/master/examples/02631/instructor/week5 """
+    # description = "This is the stones-problem"
+    output_tar = new_deploy_assignment("c02631week5",  # Autolab name of assignment (and name of .tar file)
+                                       INSTRUCTOR_BASE=instructor_base,
+                                       INSTRUCTOR_GRADE_FILE=f"{instructor_base}/looping_tests_grade.py",
+                                       STUDENT_BASE=student_base,
+                                       autograde_image_tag=autograde_image,
+                                       homework_file="looping.py",
+                                       description=description)
 
     # STUDENT_GRADE_FILE=f"{instructor_base}/stones_tests_grade.py",
     # What can you do? Get a report class from the .token file?
diff --git a/examples/example_autolab_deploy/c02105week2.tar b/examples/example_autolab_deploy/c02105week2.tar
new file mode 100644
index 0000000000000000000000000000000000000000..714225a5fffcb830097b0b5288481ee5cb0b2681
Binary files /dev/null and b/examples/example_autolab_deploy/c02105week2.tar differ
diff --git a/examples/example_autolab_deploy/c02631week5.tar b/examples/example_autolab_deploy/c02631week5.tar
new file mode 100644
index 0000000000000000000000000000000000000000..805b11b7f06bc9d606ba74d518cbbfb0ced0bba2
Binary files /dev/null and b/examples/example_autolab_deploy/c02631week5.tar differ
diff --git a/examples/example_autolab_deploy/docker/docker_tango_python/requirements.txt b/examples/example_autolab_deploy/docker/docker_tango_python/requirements.txt
index 084c2114d646cf6216e9083aae4b72784c4206e5..70d4fad399affbd2faad24426948fa773d85536d 100644
--- a/examples/example_autolab_deploy/docker/docker_tango_python/requirements.txt
+++ b/examples/example_autolab_deploy/docker/docker_tango_python/requirements.txt
@@ -6,3 +6,4 @@ pyfiglet
 colorama
 unitgrade>=0.1.23
 unitgrade-devel>=0.1.37 # Required to run automatic evaluation (load tokens etc.)
+requests # For unitgrade, may remove later.
diff --git a/examples/example_autolab_deploy/docker/unitgrade-docker/requirements.txt b/examples/example_autolab_deploy/docker/unitgrade-docker/requirements.txt
index f415be306d4ff87b4943add66860a81f1cca01a3..cb32e1584ee5c69345f21bda8b1135bd342f9009 100644
--- a/examples/example_autolab_deploy/docker/unitgrade-docker/requirements.txt
+++ b/examples/example_autolab_deploy/docker/unitgrade-docker/requirements.txt
@@ -6,4 +6,4 @@ pyfiglet
 colorama
 importnb
 unitgrade # Perhaps just this and not the other.
-
+requests # For unitgrade, may remove later.
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 1da90732870b6c63df1df6515bde40a76477f4e3..6229973bc47478cc71f94a10b49ddbd983ca4c35 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 +1,174 @@
 # This file contains your results. Do not edit its content. Simply upload it as it is.
 ---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
-3b490459eca580bd930211e42cbe0e2e689d631289a39632ff180ef9a1d2f9e842f2c8796534082e6c41e41e551ced1e90e96117d94abf8f339e24a094230b5f 30572
+bc3ce740c13fc4b51cb8894fe2642fb882d6fc4d183ce8dbf7b208c7b79b1547a094fbf1af2c3b7b0c54e9bfd0cdac4b448693c7b37bdae2cb6104b13cd38c45 30560
 ---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
-./Td6WFoAAATm1rRGAgAhARYAAAB0L+Wj4I5jWU1dAEABDnM9bc05fGKHIkSR3eVM3V1TEIhcSRNKaDt78w41MYM0jfMIfi3p2RGevJPluRrtybXJpGEfwF6j6M/hY2f5V1sR52MryT0Da4OXrYx93Li/7sL8sBWaCogAwb4LxOkUYlQgpz5
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-jJ4acgBP11AIBaXEQLib1tFigSRgG0e8oDklxvDQAdXkyytl7hSPkBHlw+VXOyPCN3uiT3NR78q3I7i6OU1FMg7VfcDScYxa4S+BHp8vu6H9+QLzylpBQLcymtiHoTFf0kZ4y42HrgSAtbb91+5KeXClmKKC0mDsg41OGZ1GgkLQs7O2s50S
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\ No newline at end of file
diff --git a/examples/example_framework/instructor/cs102/__pycache__/report2.cpython-39.pyc b/examples/example_framework/instructor/cs102/__pycache__/report2.cpython-39.pyc
index ad44b5a3a43bbd858c8328dcffce1bb6179dfa31..d2bb55982f96e53cd7a41e6173cb7bdf3dd9f311 100644
Binary files a/examples/example_framework/instructor/cs102/__pycache__/report2.cpython-39.pyc and b/examples/example_framework/instructor/cs102/__pycache__/report2.cpython-39.pyc differ
diff --git a/examples/example_framework/students/cs102/Report2_handin_3_of_16.token b/examples/example_framework/students/cs102/Report2_handin_3_of_16.token
index d5fc9cff10ea529c942f24d12db19ecc312aac5f..fbc3caf536e8e9b17c96c99a1af7b37ebba515c2 100644
--- a/examples/example_framework/students/cs102/Report2_handin_3_of_16.token
+++ b/examples/example_framework/students/cs102/Report2_handin_3_of_16.token
@@ -91,9 +91,9 @@ if __name__ == "__main__":
     print(f"Your result of 2 + 2 = {add(2,2)}")
     print(f"Reversing a small list", reverse_list([2,3,5,7]))
 ---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
-38e06b097be3d8fc44441a13a5ece76ce76b05ffab5e0ddbcdb4275b0eb4f8f15cf727027ef517154b4e07a5de71dbce0b7c8b7a18286cd6191118c81d5f10ea 28268
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 ---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
-./Td6WFoAAATm1rRGAgAhARYAAAB0L+Wj4IgdUo1dAEABDm55mVmPgmHnb0Gxmi6euWu4YcG/kuEjX9Mh4ei+RIDiayYt20OqImqYgPhIC3UU5H8LWMX30WPFN6nlTKrI/yfZKNBk187Qj32rmwoxzoDuLieGOd+Mn+5xkQ9wWdP2viWuBEA
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\ No newline at end of file
diff --git a/examples/example_simplest/instructor/cs101/Report1_handin_10_of_10.token b/examples/example_simplest/instructor/cs101/Report1_handin_10_of_10.token
index 16d498409e4f1e67ca272ad11c3c48ce8f7afc99..45d0704285aa68bcc91995cef723f37089c69668 100644
--- a/examples/example_simplest/instructor/cs101/Report1_handin_10_of_10.token
+++ b/examples/example_simplest/instructor/cs101/Report1_handin_10_of_10.token
@@ -1,5 +1,5 @@
 # This file contains your results. Do not edit its content. Simply upload it as it is. 
-### Content of cs101\deploy.py ###
+### Content of cs101/deploy.py ###
 
 import shutil
 from cs101.report1 import Report1 #!s
@@ -19,27 +19,7 @@ if __name__ == "__main__":
         shutil.copy('homework1.py', f)
 
 
-### Content of cs101\homework1.py ###
-
-def reverse_list(mylist): #!f #!s;keeptags
-    """
-    Given a list 'mylist' returns a list consisting of the same elements in reverse order. E.g.
-    reverse_list([1,2,3]) should return [3,2,1] (as a list).
-    """
-    return list(reversed(mylist))
-
-def add(a,b): #!f
-    """ Given two numbers `a` and `b` this function should simply return their sum:
-    > add(a,b) = a+b """
-    return a+b
-
-if __name__ == "__main__":
-    # Example usage:
-    print(f"Your result of 2 + 2 = {add(2,2)}")
-    print(f"Reversing a small list", reverse_list([2,3,5,7])) #!s
-
-
-### Content of cs101\report1.py ###
+### Content of cs101/report1.py ###
 
 import unittest #!s=all
 from unitgrade import Report, evaluate_report_student
@@ -62,151 +42,170 @@ class Report1(Report):
 if __name__ == "__main__":
     evaluate_report_student(Report1()) #!s=all
     # unittest.main(verbosity=2) # Uncomment to run everything as a regular unittest
+
+
+### Content of cs101/homework1.py ###
+
+def reverse_list(mylist): #!f #!s;keeptags
+    """
+    Given a list 'mylist' returns a list consisting of the same elements in reverse order. E.g.
+    reverse_list([1,2,3]) should return [3,2,1] (as a list).
+    """
+    return list(reversed(mylist))
+
+def add(a,b): #!f
+    """ Given two numbers `a` and `b` this function should simply return their sum:
+    > add(a,b) = a+b """
+    return a+b
+
+if __name__ == "__main__":
+    # Example usage:
+    print(f"Your result of 2 + 2 = {add(2,2)}")
+    print(f"Reversing a small list", reverse_list([2,3,5,7])) #!s
 ---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
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 ---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
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\ No newline at end of file
diff --git a/examples/example_simplest/students/cs101/Report1_handin_0_of_10.token b/examples/example_simplest/students/cs101/Report1_handin_0_of_10.token
index 07bb48e8591f6be65007302b6c5b203ecb7f15b4..3a12bc89a3252a781fe69cf96c7cf5a7e9d5ea62 100644
--- a/examples/example_simplest/students/cs101/Report1_handin_0_of_10.token
+++ b/examples/example_simplest/students/cs101/Report1_handin_0_of_10.token
@@ -1,27 +1,5 @@
 # This file contains your results. Do not edit its content. Simply upload it as it is. 
-### Content of cs101\homework1.py ###
-
-def reverse_list(mylist): 
-    """
-    Given a list 'mylist' returns a list consisting of the same elements in reverse order. E.g.
-    reverse_list([1,2,3]) should return [3,2,1] (as a list).
-    """
-    # TODO: 1 lines missing.
-    raise NotImplementedError("Implement function body")
-
-def add(a,b): 
-    """ Given two numbers `a` and `b` this function should simply return their sum:
-    > add(a,b) = a+b """
-    # TODO: 1 lines missing.
-    raise NotImplementedError("Implement function body")
-
-if __name__ == "__main__":
-    # Example usage:
-    print(f"Your result of 2 + 2 = {add(2,2)}")
-    print(f"Reversing a small list", reverse_list([2,3,5,7])) 
-
-
-### Content of cs101\report1.py ###
+### Content of cs101/report1.py ###
 
 import unittest 
 from unitgrade import Report, evaluate_report_student
@@ -44,149 +22,170 @@ class Report1(Report):
 if __name__ == "__main__":
     evaluate_report_student(Report1()) 
     # unittest.main(verbosity=2) # Uncomment to run everything as a regular unittest
+
+
+### Content of cs101/homework1.py ###
+
+def reverse_list(mylist): 
+    """
+    Given a list 'mylist' returns a list consisting of the same elements in reverse order. E.g.
+    reverse_list([1,2,3]) should return [3,2,1] (as a list).
+    """
+    # TODO: 1 lines missing.
+    raise NotImplementedError("Implement function body")
+
+def add(a,b): 
+    """ Given two numbers `a` and `b` this function should simply return their sum:
+    > add(a,b) = a+b """
+    # TODO: 1 lines missing.
+    raise NotImplementedError("Implement function body")
+
+if __name__ == "__main__":
+    # Example usage:
+    print(f"Your result of 2 + 2 = {add(2,2)}")
+    print(f"Reversing a small list", reverse_list([2,3,5,7]))
 ---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
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 ---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
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\ No newline at end of file
diff --git a/examples/mat1.py b/examples/mat1.py
deleted file mode 100644
index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000
diff --git a/examples/tmp/02105week2/02105week2-autograde/StoneReport_handin.token b/examples/tmp/02105week2/02105week2-autograde/StoneReport_handin.token
new file mode 100644
index 0000000000000000000000000000000000000000..37becd782259655b9e8516a08abe63ab3d3f2183
--- /dev/null
+++ b/examples/tmp/02105week2/02105week2-autograde/StoneReport_handin.token
@@ -0,0 +1,179 @@
+# This file contains your results. Do not edit its content. Simply upload it as it is.
+---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
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+---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
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\ No newline at end of file
diff --git a/examples/tmp/02105week2/02105week2-autograde/StoneReport_handin_10_of_10.token b/examples/tmp/02105week2/02105week2-autograde/StoneReport_handin_10_of_10.token
new file mode 100644
index 0000000000000000000000000000000000000000..37becd782259655b9e8516a08abe63ab3d3f2183
--- /dev/null
+++ b/examples/tmp/02105week2/02105week2-autograde/StoneReport_handin_10_of_10.token
@@ -0,0 +1,179 @@
+# This file contains your results. Do not edit its content. Simply upload it as it is.
+---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
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+---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
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\ No newline at end of file
diff --git a/examples/tmp/02105week2/02105week2-autograde/autograde-Makefile b/examples/tmp/02105week2/02105week2-autograde/autograde-Makefile
new file mode 100644
index 0000000000000000000000000000000000000000..688d7b8965001447eff8999d9a880613d13f87cb
--- /dev/null
+++ b/examples/tmp/02105week2/02105week2-autograde/autograde-Makefile
@@ -0,0 +1,7 @@
+all:
+	tar xf autograde.tar
+	cp stones.py 02105week2-handout
+	(cd 02105week2-handout; python3 driver_python.py)
+
+clean:
+	rm -rf *~ 02105week2-handout
\ No newline at end of file
diff --git a/examples/tmp/02105week2/02105week2-autograde/deploy.py b/examples/tmp/02105week2/02105week2-autograde/deploy.py
new file mode 100644
index 0000000000000000000000000000000000000000..a59af502aada3549c16dedd0d03a11f8b215c3cf
--- /dev/null
+++ b/examples/tmp/02105week2/02105week2-autograde/deploy.py
@@ -0,0 +1,9 @@
+from stones_tests import StoneReport
+from unitgrade_private.hidden_create_files import setup_grade_file_report
+from snipper import snip_dir
+
+if __name__ == "__main__":
+    setup_grade_file_report(StoneReport, minify=False, obfuscate=False, execute=False, with_coverage=True)
+
+    # Deploy the files using snipper: https://gitlab.compute.dtu.dk/tuhe/snipper
+    snip_dir(source_dir="", dest_dir="../../students/week2", exclude=['*.token', 'deploy.py'])
diff --git a/examples/tmp/02105week2/02105week2-autograde/driver_python.py b/examples/tmp/02105week2/02105week2-autograde/driver_python.py
new file mode 100644
index 0000000000000000000000000000000000000000..4375e8e376e0cf02b727b6bf9138ebcde6dd42fb
--- /dev/null
+++ b/examples/tmp/02105week2/02105week2-autograde/driver_python.py
@@ -0,0 +1,92 @@
+import os
+import glob
+import shutil
+import sys
+import subprocess
+from unitgrade_private.autolab.autolab import format_autolab_json
+from unitgrade_private.docker_helpers import student_token_file_runner
+from unitgrade_private import load_token
+import time
+import unitgrade_private
+
+verbose = False
+tag = "[driver_python.py]"
+
+if not verbose:
+    print("="*10)
+    print(tag, "Starting unitgrade evaluation...")
+import unitgrade
+print(tag, "Unitgrade version", unitgrade.version.__version__)
+print(tag, "Unitgrade-devel version", unitgrade_private.version.__version__)
+
+
+sys.stderr = sys.stdout
+wdir = os.getcwd()
+
+def pfiles():
+    print("> Files in dir:")
+    for f in glob.glob(wdir + "/*"):
+        print(f)
+    print("---")
+
+handin_filename = "stones.py"
+student_token_file = 'StoneReport_handin.token'
+instructor_grade_script = 'stones_tests_grade.py'
+grade_file_relative_destination = "stones_tests_grade.py"
+host_tmp_dir = wdir + "/tmp"
+homework_file = "stones.py"
+# homework_file = "stones.py"
+student_should_upload_token = False # Add these from template.
+
+if not verbose:
+    pfiles()
+    print(f"{host_tmp_dir=}")
+    print(f"{student_token_file=}")
+    print(f"{instructor_grade_script=}")
+
+print("Current directory", os.getcwd())
+print("student_token_file", student_token_file)
+for f in glob.glob(os.getcwd() + "/*"):
+    print(f)
+try:
+    # This is how we get the student file structure.
+    command, host_tmp_dir, token = student_token_file_runner(host_tmp_dir, student_token_file, instructor_grade_script,
+                                                             grade_file_relative_destination)
+    # run the stuff.
+    if not student_should_upload_token:
+        """ Add the student homework to the right location. """
+        print("Moving uploaded file from", os.path.basename(handin_filename), "to", handin_filename)
+        # print("file exists?", os.path.isfile(os.path.basename(handin_filename)))
+        shutil.move(os.path.basename(handin_filename), host_tmp_dir + "/" + handin_filename)
+
+    command = f"cd tmp && {command} --noprogress --autolab"
+    def rcom(cm):
+        rs = subprocess.run(cm, capture_output=True, text=True, shell=True)
+        print(rs.stdout)
+        if len(rs.stderr) > 0:
+            print(tag, "There were errors in executing the file:")
+            print(rs.stderr)
+
+    start = time.time()
+    rcom(command)
+    ls = glob.glob(token)
+    f = ls[0]
+    results, _ = load_token(ls[0])
+
+except Exception as e:
+    if not student_should_upload_token:
+        print(tag, "A major error occured while starting unitgrade.")
+        print(tag, "This can mean the grader itself is badly configured, or (more likely) that you submitted a completely wrong file.")
+        print(tag, "The following is the content of the file you uploaded; is it what you expect?")
+        with open(host_tmp_dir + "/" + handin_filename, 'r') as f:
+            print( f.read() )
+        print(" ")
+        print(tag, "If you cannot resolve the problem, please contact the teacher and include details such as this log, as well as the file you submitted.")
+
+    raise e
+
+if verbose:
+    print(tag, f"{token=}")
+    print(tag, results['total'])
+
+format_autolab_json(results)
\ No newline at end of file
diff --git a/examples/tmp/02105week2/02105week2-autograde/stones.py b/examples/tmp/02105week2/02105week2-autograde/stones.py
new file mode 100644
index 0000000000000000000000000000000000000000..96c9cf5eaeba7da59ecc9db55ada75b06cd093b0
--- /dev/null
+++ b/examples/tmp/02105week2/02105week2-autograde/stones.py
@@ -0,0 +1,15 @@
+def maximum_stones(W, stone_weights):
+    stone_weights.sort()
+    T = 0
+    s = 0
+    for k, we in enumerate(stone_weights):
+        T += we
+        if T <= W:
+            s = s + 1
+        else:
+            break
+    return s
+
+if __name__ == "__main__":
+    print("The following call using maximum weight of W=15 should return 5.")
+    print(maximum_stones(15, [2, 5, 3, 1, 8, 4, 5, 7]))
diff --git a/examples/tmp/02105week2/02105week2-autograde/stones_tests.py b/examples/tmp/02105week2/02105week2-autograde/stones_tests.py
new file mode 100644
index 0000000000000000000000000000000000000000..9f61cfd3822b0d2f526c318e6b380e8d0c5d6ef1
--- /dev/null
+++ b/examples/tmp/02105week2/02105week2-autograde/stones_tests.py
@@ -0,0 +1,44 @@
+from unitgrade.framework import Report, UTestCase
+from unitgrade.evaluate import evaluate_report_student
+import stones
+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
+
+
+class Stones(UTestCase):
+    """ Test of the Stones function """
+    def stest(self, W, stone_weights): # Helper function.
+        N = maximum_stones(W, stone_weights)
+        self.title = f"stones({W}, {trlist(stone_weights)}) = {N} ?"
+        self.assertEqualC(N)
+
+    def test_basecase(self):
+        """ Test the stones-example given in the homework """
+        N = maximum_stones(15, [2, 5, 3, 1, 8, 4, 5, 7])
+        self.assertEqual(N, 5) # Test that we can collect 5 stones.
+
+    def test_stones1(self):
+        self.stest(4, [4]) # One stone weighing 4 kg.
+
+    def test_stones2(self):
+        self.stest(4, [1, 4]) # should also give 1
+
+    def test_stones3(self):
+        self.stest(4, [4, 1]) # should also give 1
+
+    def test_stones4(self):
+        self.stest(13, [2, 5, 3, 1, 8, 4, 5, 7])
+
+class StoneReport(Report):
+    title = "02105 week 2: Stone collection"
+    questions = [(Stones, 10),]
+    pack_imports = [stones]
+
+if __name__ == "__main__":
+    evaluate_report_student(StoneReport())
diff --git a/examples/tmp/02105week2/02105week2-autograde/stones_tests_grade.py b/examples/tmp/02105week2/02105week2-autograde/stones_tests_grade.py
new file mode 100644
index 0000000000000000000000000000000000000000..d8065998b6dd1a1400ae7910febf59d4c6330f40
--- /dev/null
+++ b/examples/tmp/02105week2/02105week2-autograde/stones_tests_grade.py
@@ -0,0 +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('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\ No newline at end of file
diff --git a/examples/tmp/02105week2/02105week2-autograde/unitgrade_data/Stones.pkl b/examples/tmp/02105week2/02105week2-autograde/unitgrade_data/Stones.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..125aa648ecdcca1ead793e5533eb67870d27f11d
Binary files /dev/null and b/examples/tmp/02105week2/02105week2-autograde/unitgrade_data/Stones.pkl differ
diff --git a/examples/tmp/02105week2/02105week2-handout.zip b/examples/tmp/02105week2/02105week2-handout.zip
new file mode 100644
index 0000000000000000000000000000000000000000..6ab227e83a06450246d3f3fca59413b7729fe7ad
Binary files /dev/null and b/examples/tmp/02105week2/02105week2-handout.zip differ
diff --git a/examples/tmp/02105week2/02105week2-handout/StoneReport_handin_10_of_10.token b/examples/tmp/02105week2/02105week2-handout/StoneReport_handin_10_of_10.token
new file mode 100644
index 0000000000000000000000000000000000000000..37becd782259655b9e8516a08abe63ab3d3f2183
--- /dev/null
+++ b/examples/tmp/02105week2/02105week2-handout/StoneReport_handin_10_of_10.token
@@ -0,0 +1,179 @@
+# This file contains your results. Do not edit its content. Simply upload it as it is.
+---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
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+---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
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\ No newline at end of file
diff --git a/examples/tmp/02105week2/02105week2-handout/deploy.py b/examples/tmp/02105week2/02105week2-handout/deploy.py
new file mode 100644
index 0000000000000000000000000000000000000000..a59af502aada3549c16dedd0d03a11f8b215c3cf
--- /dev/null
+++ b/examples/tmp/02105week2/02105week2-handout/deploy.py
@@ -0,0 +1,9 @@
+from stones_tests import StoneReport
+from unitgrade_private.hidden_create_files import setup_grade_file_report
+from snipper import snip_dir
+
+if __name__ == "__main__":
+    setup_grade_file_report(StoneReport, minify=False, obfuscate=False, execute=False, with_coverage=True)
+
+    # Deploy the files using snipper: https://gitlab.compute.dtu.dk/tuhe/snipper
+    snip_dir(source_dir="", dest_dir="../../students/week2", exclude=['*.token', 'deploy.py'])
diff --git a/examples/tmp/02105week2/02105week2-handout/stones.py b/examples/tmp/02105week2/02105week2-handout/stones.py
new file mode 100644
index 0000000000000000000000000000000000000000..96c9cf5eaeba7da59ecc9db55ada75b06cd093b0
--- /dev/null
+++ b/examples/tmp/02105week2/02105week2-handout/stones.py
@@ -0,0 +1,15 @@
+def maximum_stones(W, stone_weights):
+    stone_weights.sort()
+    T = 0
+    s = 0
+    for k, we in enumerate(stone_weights):
+        T += we
+        if T <= W:
+            s = s + 1
+        else:
+            break
+    return s
+
+if __name__ == "__main__":
+    print("The following call using maximum weight of W=15 should return 5.")
+    print(maximum_stones(15, [2, 5, 3, 1, 8, 4, 5, 7]))
diff --git a/examples/tmp/02105week2/02105week2-handout/stones_tests.py b/examples/tmp/02105week2/02105week2-handout/stones_tests.py
new file mode 100644
index 0000000000000000000000000000000000000000..9f61cfd3822b0d2f526c318e6b380e8d0c5d6ef1
--- /dev/null
+++ b/examples/tmp/02105week2/02105week2-handout/stones_tests.py
@@ -0,0 +1,44 @@
+from unitgrade.framework import Report, UTestCase
+from unitgrade.evaluate import evaluate_report_student
+import stones
+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
+
+
+class Stones(UTestCase):
+    """ Test of the Stones function """
+    def stest(self, W, stone_weights): # Helper function.
+        N = maximum_stones(W, stone_weights)
+        self.title = f"stones({W}, {trlist(stone_weights)}) = {N} ?"
+        self.assertEqualC(N)
+
+    def test_basecase(self):
+        """ Test the stones-example given in the homework """
+        N = maximum_stones(15, [2, 5, 3, 1, 8, 4, 5, 7])
+        self.assertEqual(N, 5) # Test that we can collect 5 stones.
+
+    def test_stones1(self):
+        self.stest(4, [4]) # One stone weighing 4 kg.
+
+    def test_stones2(self):
+        self.stest(4, [1, 4]) # should also give 1
+
+    def test_stones3(self):
+        self.stest(4, [4, 1]) # should also give 1
+
+    def test_stones4(self):
+        self.stest(13, [2, 5, 3, 1, 8, 4, 5, 7])
+
+class StoneReport(Report):
+    title = "02105 week 2: Stone collection"
+    questions = [(Stones, 10),]
+    pack_imports = [stones]
+
+if __name__ == "__main__":
+    evaluate_report_student(StoneReport())
diff --git a/examples/tmp/02105week2/02105week2-handout/stones_tests_grade.py b/examples/tmp/02105week2/02105week2-handout/stones_tests_grade.py
new file mode 100644
index 0000000000000000000000000000000000000000..d8065998b6dd1a1400ae7910febf59d4c6330f40
--- /dev/null
+++ b/examples/tmp/02105week2/02105week2-handout/stones_tests_grade.py
@@ -0,0 +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('QlpoOTFBWSZTWUa6hgYAXBj/gH/2xFZ7/////+///v////5gbP73hzuvtea8VQPqWuc+7L01QFCtDaMJCvfcHHtqCoID3Z0cUN3vLwcvPXTru2iBRBUlL1pVV0a+3cb3fPtevVvr7Hvdyu5nn1TvtoFffa+u8+999777c++x2+92+vlDOy+w97vX1Qk43d31d2016+PX1oSJs0mrt3WqWs+2eqHb3099NM97xL3srenb75GgoaLb329Dmn3d93j7b22+xGvcoIL6vc+3Pd7am0bKrvHuI9ny4gDt8nueXBZX32L693xaHzgfXpvGVHbI+vd6U6ezuaMvtr1mvO2e+47Zjlbzb672zVhUXnxdtsPvWdfe4yfXHJYA2vvh8fUYm2vd7PD3295Mt3TM266Gq3GFNvNzvOEpoggAIEAJoBDIJpiNIybU0aE9TxQZqNGQ0yHqGEpoEEIgQaJpqntBKfop+qNlP1TQMjTTQaAAAaAAAEpiQUyKaam00qfqmmmjzSMp+qB/qU0/VGJ6QGh6hoeo9RoGgGTQyBJpIiETFT0xpBpNqm9U9qnlT9U81NqRoMTaQ9NI00A0DQAAPQRJEIAEZAEBoCZMhpTNFNPyp4o9T9Jkymaj1PUHqep6Ro/VNMEmokTEFMCYRiExTR6mo8TU08KNGjQBoGmmgaAAA50P2EAPZ6pKBET3wVUfSkUYQVYUk96ixVRU/X7/pwuqhpP/H/PWEf+qWH0K+nCP4LMn4fvv+0VjExdfwTm+M3D7//ELFa7ML4uoqSFSrv/x6db/zWReDGuu3rreK7sK3FR7nWoMtDVEWZ6Ibtq8ykvOr114scd6xILVp8fRsnbPSFLltCXRF+mavnvdVaitGV6UdIzsi5DkMnKWk5lcftg/ifaSnH2f535IEv+/N9Np7cpxFP8ZzpOTulovzK+VvfYwTHlvqZasDDAx/pWlOBNmYVFO5BA+ZiLIEikiSBCDILFkUIB+6SUVFIIKv6UmASQmf9IJQIjEgCsggphhEmwxtBQlaPRWq8muxMo/FWGyuk5rmpPQm8nfSBUoFWCQVZZGiqgop/AwoMRUBVIKgyIqpBbqiR/06v+fNq8Yc2u0P3vOL285+CfiWtaVdGb8fxXC06ygUoaypxsL73FpdSSB5zQ5L7Yxs49XbV9VrZJhWR0hpDrUouWLq25M9SaeGYntjJo9+sxAR14/InZ8FBTq/iffL41jV4piEi0eCu3+a5BIfDSBcaxIsfc/yNyZMU2Os1/BcbWFvDP6sI/Zf///nrPq2+Ecdhx4490mtxwmHRtFRv6HxSK/6TZp/rzilOliN9r8JQmPgj5E/P4o7vkdfxdu9F4zF9padD3wfCvZB9MVeA+Fl30x7N+n2r871Z62I5XKsEbENV5fFDri9bn4+ZBU/xuyutUj6HerOH0YN4chEmvCQe31CaMT5pnVe9vwOWDBIpAROM/P+FQR9ViLeL5s1WPryxkHdL3qc5TasrekiFemJpivtl8efCLS/U6pNH1ejyzmk0NR/BS98M8mf3eHYzQy9Hxt19HvqRf/HDzheY8OnafF0rmTqIz4S273tXFFprYi3NzWKRhWDEJu4ckNSnyQURTLYnAqk66TYrdgUzm31L5DB9Pf1WGO12euxTqu0wkUdyco0yf/LsIsynbORoJceGFc8HjjZKdY6l8mM6UsezFqXD38c5cKy/7E2w5J+BPXLbjhkaF3dLJQqoi48fV4Or996v20bz4ffLr7Lfr56Myq+dqM+NWQuoonnGxQb+Eu3mUmjUtfstU+FB6ZQUpiWVmZZXdV5VF2IY502+JIb26iFpI0/GYjshd3jBqyZkwuZTk0z1Xk8/ZMcLw9H6ltJQnd8q42kL0227ymw/NYJiZyRHc8ixBosUCl6BXS4BJ+gS8z1fj8z00bUz6EKZXf0LgWe0eEhELBNcDGd4HcVUi1mkmj5U0Iai9ntr3Wk4QzvbisZhIXdSnxqA53xEiNvaeg48ONgivhzlwLjczHARsrRlJpikXg7TaHddHGtEfI5CuUO3J1DSZkiEjUcKjd4EtcGiTQv0xBA6BJIQhfrR2XsHnXduWbM9d+7vkZ7rOx0JXmIZKphMu7GyS4B8oPy5yuWKJRFfPHZHZAfn+fTzZuhG5Q3Qxrz5w+S7mnDOzW5YLK2bBazuFqCHdqTfaD35Q+PxuMdOOoDMYxXxQXDanCxDT8OL7s2tMjJgTuCIcqJ2c05/vKY+fuWtHAbcfsqEH0VdvWRyskb2f3zJCb+ILWDBixsB9W1JiSw8eHMxdP8fi4aPWKqEZEfaIHbkBFUzsV6b+uUtikzpnben5ttQZGJflYr4jOh8t0G9TDAvEnxE1rXjup+O90ZM1bcx7Xz91J+WZQI3hwVHvUgeIw0uOwk3BBvx8H6zjU6chcdNso4PErme+Se1sHvt+GOFKWq0zE1kJi4cvXTNukaSHWlhlfO+1NdA83bQHHbsz4iijUuu254osW+HBHy7GTKrpNfpcpw3QlWM7fsrJMiWN8NU4pzfm9hiEsjpa9N9rIMXKCj961sF7Li22zAgcqVflhGEqa8mL1RterHAzTSncI3L/U5Ugl0xI/vuMkKst5Rvjy1eQdMdJHDbOcreD2w5ZhL04O33r1l3/LKWO+4qgjq2bXBXxoBtqaqfNsvs0/tUEK32Dt4/WJxIuLRtTLBm3ksggxqxIgO4mxrAWz3OLibvMCyNSMbYwbL50zyuLLGdoObjgma0tZgxieRSpS0uyyy1mV8vDenVsXtyL5aCzYVfe4KfWKU92EWYKNFMHjJwQ0i0d7j6CMFF7ia1zjVg7PCfCPDR87Sx6vmdDk6pA7Q5cyxOm59JvxiYKlFaXTaUcjHPlpB+bUMb7GSuoOP4lCMNh9xwUqzgstbjSmAkJCtyydxr0PbRqC6yzLp0bMuLc6q/gXzr1PFhQlLLXEsLzQ+HXPCSGZCSDpNefFPoeyWReDL837W0g4zx7u++0u66VRn6Z6Gne++V7FuiuZTPjJjBGT69vLlxhkhFtfrC8xh3isUx1bLZ5rC7xBxw2iz13Ml14c2grSd0rQmir75/fnSu11xBovfEhN0pWjTfHB9JzYuOA+9vhBysyNcjDo1XZbEX/NImUz8Cn5JSKdWt3jJGZoTRvMPsa8ofl7dctBzQMxfEzMbMSrUTLKyRdrr+U3rIuIpUVZut4KdXfLK2t1xD1QuwgKb4hI6lNUHNnnQO3Fh3O3HGsbUzMTNEwfzeDpPrhrdLfhFMAomNnowapYarr9mSSa8fNrxl5tzh3DvzlBYJQboo9GHQU2POip+mj21Kw9w5nMt2MoP2uarE0Y1bGj97GSj2/bjOmLhvftRxJmY+6oCv1fjxlO79fpvpZ0RpNtMOor/ZbokDVaSlULe9WPvVmv7iUT2LnNUeohn3+Dx7rMzW+ZvgaU0c+V5WV3fS+XaOZGgpGL+GV+dk5VzbStGf8c0yKEnFMbHCbxudVxeV2iso0tMs+yC75OrfuuSMbDMH6llscjgRJutkzZRmWu3Xc4xSxfiKv9mD5X8zmIqbbdzEZelQfDFfr7mc38Lw65PIMc9WaMnWM+tHYYblOx6T080WOTJ+6TguyyAdy2qZFzNSSHEIQOmZbp6NS8K5ZnMsc4JuK7kPbNjdtZ7s2q7J7Y55dz4xxLym2O+LNLOZ3P2Fc4oqFSkpwxKIId2lI1U9LHsI1v7MJXjszJpHMMT7+t2nb3+49uiCj5m5zSVqZzGSkh0hSYIICU414T4kcivOuPZycakoMB4bfodg6xsxs2SvOHOloUX1N4iGUinBysrSZDHWD9pH9yqmlSKnLM0JBOij9AUUWI/PQoxGDbCopoTTDBBYo01G+r382mq7dXTYbswzdni+4MknhQbCAr2HQ6+vy3OWby6OxJ4gsLbVk3Nlh2hw1Pc8DkyEIWdl8NtbIFiOiq5D9ZTYrWuWqGbxzQ5J1zpdZhtpPaXu0xPmsmbpmc0DszuN5oKv0cc2caICvBQRbeZAWaLgi74du+1DsUWe5JM1WcUPk8LNbG3+w61Tvfw7n7EEGhxY4znwmNnR2F16Y4Oi8Vu3YbGdjCTsjha8tQ3h7dG24G2ZXVzRrCpKqls6SnNJPfY2umZPfChF3VDZ8Lw3C7O4rlIkwcEfOY+wroX0OXDg2OKQk5NHaaHKpW1fpZdfG8Zq3WH6pXVHvCLQjBerkUpQfXG0lSpUwiJGIiBlPeJfZDUSIsh3jfS6qdBwVFYRGer2ZUvsHMTPtbGeOQc1YIwLSBJu+FLlS/Z/aY3HfhvzM6Jxpz2nT2bmzFz0Ssoa0KI3d2Lk4uzqr3TvkU1ymav9lt1e7Lnjhj2HTIatlpBlhnKVNL7zSwQV3wm02Qwgt2hcLpDupRPEm/xV/RA+G+I8l1u00FwQa7SxKoomo8lYSdTjATjaRFt4WCL7D2uUvegK4Pr9XE6UcKdugdjX3S17YuFF3JURK61lFu0WlJNxMXIoPaCjp/DTV8brDsIHKOMSRtnlr79celdc46n21HbIVtVqW4x80rKmcEG8tWq4mQ0uHKzIo9Kb7SqSQw4dQYhG/BpvGAw3Ru535u/grevTwzppxck9O8vrTtxFBj68WUjJ0xkyencP4PieRDox8ESDvjY6QeBuYPVGQpiXfyfBkuEX6HnwLWI9kXrmNbbk7tfGfLxvF518qbLUU50YbtNN1zZM8smll5iORzxfjDK/B+SdHl14ZxyMreIOtWfQcbfOVZLHE+aZdze9BcdIhBaWlUqffpLkd1oZNxcv9b72Oyw90elQdWlnLe5F1YVbsZlcb6dWce/S+ikZO/Ypr/R2lD8ITQtjLZjZzNvRMrs8zslfd3s5kqVuMSyRPgcSoTEICAozl7ivrwFAWsj4nT5MT2OTO02Ht+UyYvymwHDqn/Ip8Hf0A33flkV9ONeHb31247xFEWL3ny5jsCHLxyFC5iO0EfkQTEfBxyjWM1h9DnPAR51yws1JNdI4I6iV7Ah1+r+oSbyOJMNJ0YonD+ocfTwWjFaDYtPptnYKUoDQhVSVF9ozurkYTOnru9Xsfv3+5mKcvlT0tyKvOR2Wcz2FXWKeRdqflHtspj/zdVne32Xd0e+eKw011lOW+77rBHeqzumo/RPes5q6dni9acL/nt5ed8TtrlU3LCZdHpxryfWs6We/448d67Xxfpb1x1fLIXK733g19zI/lA4ONwkO3ejEMAvvZsZnXHgKfMdfTwlJxeuU/CV03uwDLYkQHT9M/Rfb+O+Ovs9WV5NU+fLGfZXdR8Nqjjmtrzpzw7p45833xqmabvg9nW11/FQJQ44Q8I15JGLIXcTQJOuXWPln2rsJWRGQrUORqAZEFKj0pG2Vgftfy2TWv4zJc5OTRC2zCKxUtmdvC1PyJXw9H72SevV9W/PPqs9y6ub1+7Xnvt8r4YIyVq6v8P1bGXdji2To6EA7ZrNBGUwcBX5S/5MCiqzbsysbwUMRiac0SU0DpK3RME8T/Sn+dCsD9p5+Eul3KRSdpQ1vSLOEx4Zrdml/n3zqTfNuXTjrKiHCsVYqO39zpc0KW9KV4HQ2uYtpSiJ+giEj87wTdw8G5KdGL0P9tZjaiMFPM+9niXHgvNqZY87mG7NCuD1WViMlca7nH5UyzKUwNotNPeHZjI4wo/PlJQ9gHgOfgez9bUIJjsfeUHY8vf4e794Hhh7BT9/tlQZjZAPMzhhqiEgYeLvsQnkMGFT3y+Bab/L6rUISqqrEDmZA2201Kd+eaonQMoZFiqqyG+bAOUOed4hnj+JzA0LPrVFIKHxjJXsqVmNtltlW2MQqxklVkrKsQCoKFf12mGZkBQ7+h+XsZjYHSw7zIw7BmQqX7f0ByagGmTb5MmwZDaSIrFIjJNCHhbHUppOPIbpA1Vp7cyPoKqMKn24qUQx/DO/xj7Zy84cv8OOcUpiHy25Rpobz3m4W1TwxtjSCPxQyLBZq9U7g30tywdtsef7DD9xrut2dcuenVSpmK2/Khbq4KLfGFfk8mC7mf6cuYzmGSjOSGWURaqnWquCYeHeLl0lcu/b6mo/nsWLhFXdl3ohoPww/Z1Wk+lYiyMzLMcRMCbIaiSL/M0izjwsizB9gRLcCDy4waMj4arHd7opQ6zT1LYliHqMgiz3rvO0UqxcKZGaRukN7jcrEpYcPQxKypDAuxtyPALEO8yG4d3bcunyZvQ9Z8fhcEmaaB0aNN2Q8XBAQc5GkOzzu6EW0mmoGjjx5Chs8JE6Y4h+zZds/vtZR06RdX8S/wizXm9mP0V0vNs8BbGpr1GhaYWCsMCCpL8BGAXsheezsvIsJ2OB3brlYLoQinYrrf3MhLEwZ3EoemeZE6SJeHunfLHxb4k5EjAjufAz7m44Mu7P21DSifbEKTl6vij/7O/7v1SO0yXgiyBOeOm92dDLJ7CE5bEypjiWem9F4wWmL8qzTY96b9p3TTipEPnESgn7qc+nInaoV/CY7rXfGi2muFRQORq45wXXRA+S6FjvUCIPgQV8BfLTa9LppHTafR+oclkdkPbUt/R1/LbM1pWWeVCil+1OVcsq8bp+EnJaVi935rz9jlXx8bvKnTxpAtF3w/KT6JSkrea0VFWPOhImTTrwekxShQv3P7bZWX/fGD2m8d0nTC+onRIP05PzXZHjC0yj9eNJH1M8csLe+0uVfHC6HmWMcyH4qRZFHC96U1pBTuc603RcYexGXbreZY683h0rEOmCiPqFks3W3EPOVxPzXmuRhPAft+PNhyssmXSXXZs1Sm6IeeCTRftnMP2eD6P8+nv1iHRC4l+fFQaU9kZMxAT75vjhN9HmverbpQkKbyvkr9XfnlrrZa1iv1O+RqGJWpJG6SYhJx2cIJe2WmdIqzp3HMbIO8mRKNp99j1DZhBscOJDb6uQEFsVTRN2MbuNp35oVl5d4SpHz0l9+JPvT+915eMa54uW4LzueEU/wejp+I3bzh56+2fjQ/Vv0PfeZtG1fNChiIdkkO6KcmZxI0eaHkQzuRHJma6S8NblyaXruLnCw9RGKhQ7R8VVlemu2pbuh/r5L1vlmQQdj1I56pG/7frdbv2SePf16l1lVXDvm3/3Rg9+bXwl0vQ9lZJKrnOZE3k7xlw9vfFbQnWySsWa76PqPZWxxzXurwVFJT+LkLS6jT7nNeduX8Oz6lI+anftg9eW3XguNw6RnU29emNZVlwT2OpRw7riDqssiMnupjOEr5TeIfWXeoMnuo7pWw1i71PCy7as71yUvF58vX4Rpj3+WSo7ePsMFZWOZcqYrNTMP9kTK7VK8n44vtzH4TZ7NOwOKvw9YrpXZXU+4882tw8Ze7iBu014yfWoVOT71UO6IE/twjxftwrGCpwWFJ9Np9LHmnVE/+7svI7v4COZw8a43d39aIjETU1RCdvLExR7vliTi/njjs953FaqfAiX+WnMoFWPdv4WTwi0oh3SEgi/t7YKHt5tx32pfkEtXZiCWx9ZJmPkXusqw6C0QYJoijiEpOHdYE4smgwWbhCIwOmE/CWvjWKJeqJEBXjPpp8vawXMNykI/pwGvRIToDfwdMyZvXjymcIa9fTPnckWt9fVPx5HyLGCCHLLHWEyiSY9d/NrFcJs5LnzLMOfzvgvgf1lvp4FT/ChM7deKx/9PtLjdbq5xOrub5EXJ7sN2Oih6cfDgrbZdats+ENVvQ3G4/BEV6YAmfTBc/IK/LYX4djsV9WcfzNZ7zfFjBdMnMbKlleJ8dLJVxkohleSYmpT+GprSnJ3QjTjp126ck28/Z4sZkb6ieo36k+USpBx2FXHuywxxqIeyDqwz8pGF04Dkn9D/NFmF+OGNhTxSsOVic7977+/B6AjeX5wOx2qzoJ7dQ9beiZPI01RXHHGRLrqGPOeK0o30vVhpOgs5bhgTz0qVL1lc5LzwlZtKRk/9POxa3khdIGqVFcnO4ujEd/XZuu3uqX2D845thIsJYTO+ydPjnZinu0od7VwtLquPw5mMp3XeXYqayt7LLb85+HT7B0FbfRq9947dyLzDsvpM344a4rHmzdk7uq6/LIiwstJFHJ4Fm0mkgkPwjPyfjpg79Zas8kBye/OiRP9ZbS3t9UfPiTSPHDhtDQi5u3OzgTeynDXuo2BtwhuevuY9yAP4ZECY+STmBRAa/GyfiunHEPIRYSOo5GD9mku8uNjHm0es95jYHv9/Gw0j5WN5lSGhGuDr9xX8XpTE9EjjE3z2u/gJn6vGdb2hYbXcYddh2QtT7UOb9uGm6mwyhKru8YL2zmyi+KjShD+UX7teUPWe4fFFEw5cYn0nN+WVQkP629/sEh3Pp+IYntOnDMNRG4gbdDQwoBqu3BtEFZPMgU0n5PG6l04P1Tr7U8/Vk0YTq4LvmrrT5zRhGdYnGvnnr9V64brnFY538OPRuxurl6zCoJ9xoiiqsCjI0R1J5tgzU+Mwv0PBAXVXY0IyGlgvbrYOESImhuUlc+7HEbDGBtncW0ExJiQw5tiHPChZwycWw0kh1KcODNFMPh4zk5ALbxzH9QQKLAZlOCXX4Bneoci5jpiqVFeHI855GEzR1slENWWf2ez4O432Kr5wddQPQ7Sjs1ZFxxChqiDA2E7GE5GTkfjhgat5RoTMIJo/oVImb0+IqIQsBfBgn2G4IZuebUuGpDI9LzwXAITArrNU2XPou2YGfQycCngMqWg+hko7jAeg4hWgZzPdSgih4jOZw7McRjuaODrDSqmCG/TjIEJY1G5EyRYfa5846YM6AwdGpRquEKSkJ+Y6ZjpY9UXtjOdh7mfNu6S+mO341hWyTAsBf7HPie4fVkILHOviotRKTnZ0wgwQt6sM0gpN/lC2zhf9fHBHT2fUZfPBjU9coEhCwXDfETWe1i4ZFFnn4QBKdE5wbnvOT4e263BvT1GtMmFe8ETNr2pQEyBSEYiGQjbrc+bI4d4HjqcDt0CmR84xgHcduoCgHB+LUuKBAcXGgHu7GskfNl8QtsLAg9AbNAfnC3iFzN9Tcl/A+3mukz9i8LPylYWKjjhn+SXtthlZcoQIsM3l98m36r8Q+yhKiTftrNd3NFYqIijFFiB5tMcIZ1rDfAcgY6bapcmmUnl5J4zrzSH8I8ekoHX7h6PYmb8yZJhqingNAerr1PEfb8lnh6rHm7RvOlJzlB7XpY/ZVVrE8ihS1xCf8mPwuUTSEr3L26S4NqM7eywRIoi/JaDGNymRBUZ/JT5RhFEOyahyskNU1I2WG7aw8nZI2ORWSTKVxRYkGN1DdsOBnOcM/+eu/la2dNe65lnqi/sn2VQXpQdzdpRW3McNddrdA3d3l7J3Cye4LntsPacFv0/J4eD4iiHlVCoxRVGPoM7C0ZFLzScLMBGQRPXs6ZCYSDdwlx5+DeInzbxblYDcdfHRzbmcJQ1j8TvCl4SNTvV/CIWycx+QNbiLO8bPjcXXv8RKMvmxX4XhcfltvVprk1y8waeeCOKxLkrmEbh3H1rMTWqdZrMk4jOMOVmwyyQdEqSE205di6b30zvEFndyTYrHbNIlITYIbNKJq8p6qc7gjCM4U6zvEmKvE1SJitRMTmaxe2pWo7s1xN9HnSMBnSkio1OiiusQ8Kb1I6zIBKp0ZzN3nSxenjE6qXy8q7jRq40rLt6l4yXeXipMJ6U3HPt9zLzCgyMhnmdOdHhME37uEqFiqijBRRNGkshqy2GYiIiisTuyGs0WQMkm/R4jPIHYTMGLneeB1kJCQ+VQmN9x6bRpOIQUGCqKKz061b4UUCJyQhsjDDtx2UsdtN5IrLhg9vtSqaxlY4u6OHnwqkXn15nD1OMkrLvk1WX1Bu/hxWEh0SoV3q+9EovVWiTdKONYUTDtYkmTfFjkrm0krgvepSSt9FQOte8O2SqWcbnFWo1SjGcl1yVO2CmbTx5Ms2GY5h4zxMNxtcSxi3KrPbWtahHPbZeLa0kkt/x/2kfx0x0IBAbcxrIAbJhdsdZWb53ZVnyq5DbIhu13dU08/ReuN0jIozN9VUzVpMDTornAVhhCkZOmNeYWVXVjHZeKBo8OOjIzmOG00cIPSWMxu/ryRNrBw7yhqDo3QYwGyh2EJIjJjCfPaJkPCBAmlqD2UHOKszGdmhX8AsOBm22hkD7fj2BTDUmK55zXApKNamJ0pQaQ3AMs+4Or96/Ekj5n/VH47ZbfW9qP8/uf5bcFm09L7M904M/YUK6/lonNl5auv0YwDkZ7URI6xyH+2QfyH6/T5H2u3Z47mP1T5K1s84b/yvzikIbpE4Ja9USVvj37r4VP8Q/+hm+kfQRMhI+Yz9CJ2Rncyb2Tq5alleVT0p4btPDHdoVroXc8mSYbYqoivlxS97i0w3B3YsC0DvSG1lKOipfCtsU41k9+vfvXcjrPK89acTKxU6+rlw+2jPVMNI95LvJLQxDSaaPRmKN3U7cTGlTU/gmJFNCdW7pKev5GJL1j751NVfD3ZPjHhI8yta+pS+6nn/PbTn8KWLKcolcmJYShUk8YjnLu/mX7AReKdeZs6To+Mfw/gtQihH8FRGmRZJSz7imkP4S5elG4F6FkVGRGoLeEkIVgsILBxoAKQhUFDGBjIiLCBYhJLG7prAWBLYB4mm8PZ8STSE2f46Vp1VM07YOR0eozRddY0hMUMtTur5Wqy/St8zWDNhmw6fgrzRYp0XCPNESOEeajGJqUibJbusaM3h4hMe2d5nejWVp60ZixaHo2iOZj03M6xcKE8Ybns57VxjTxw3ImOOMXiDDFY6CfL8DXKws5YGR3dPRvYJsRqq9S6sCbbXbLWzakT77dbJ32rfwybML3QzmdhFiUZfpuMG652GlhbW+CS1LztiiU+H0EWTFN2MXLjzd2U+fSpjO2DQh9ryNMifneYrMOOJm63s5FTCX6p5eAB1XPrjJZ/QYGLIQ5FIEjet/Y1syqxE1v9t314wa+7+AE+jlp9wFg+r/4fD8P0n17skzlBRpJgXqSEufPRwNjUJ9EDB8hZm9L5G62j0BVIqP9NIPAEq4LhTlG9r+b+Mn2XNIfN7fgPouqpBVX1mfIhx6wuexoKGz6zWf9YfxPd10H5JJz/5acg6vF+XZuAvuLFNjydGugJoQIrcPt1NlJAoHzn2HrMClK/ulw5Ow0f9/5f15eT+O7afwDDnjYJckO1qok7NJ5roIDtNPASGnVMkyY8jUiA4gG+InN8P7Q9cSLD9thqXDsyk1rbh5HqJBOjAOOvWdDAYgzlFHlXNDn8SnOGAL4lkQkSEAiAF/Fw8N5GEvDFg/Genx6DuOdvzUsxE36BYcwcG1CDlCTGkFTr6dBUc8ery2NYnTkCL1kyEZOfuXKS1BiPnzO1oJDsmPP3eIZb5mdrd6D5UcwESDoyY19koTcHZ7UgT+XqZvhLE0PImZWUDHDdfo+5v/pmKqcvAZ5nasRwhs8p+YOYBxGJrvTvsoIhWxhEZjRMPir2NGhVH2FEhGE8OspSx9DdUqqsvIK4wnqLLk30OV8AgIGuPmIj2z7yTFh9lpU+a5un9I7OLmyIX6aGtiiG8tqAJtezFml9rJh5EvxSme+0qUX2oU4UigVdxNTOnRMqOd/wejnCpQ9EQsffu6AQbzEjsftkPT16YQkkmUj9VkigxJZ/WmMyX+c4s8yaexJ/7joeatX6uu6XPrqv50kncd5NmvNGQghWWWRHVOCZgCM8SSlbCd58JRHw6SM5+w1j6Lm/40/rv62ZumHE4+XZpBLS8lcz9Lg6zBxP/Q0P63C/gU9Ous+nrzDLPV1DtqVHNSTlr9urAfmBMCEtncREgHCBkyxLvk12bh+H4FFUbfZHB4wMc8ptKd1fX5/kDYmFBCDQ/lnuPopXuF87735lyVDh6Jt4PxkxUhWCfp87mqHa/tcqUkhCRJhAKTfwoqKk3MC/Ct7o9qVm4fR8fDLM+tGJwC0/P6Lu81Ni8pe6cd3LJVnh8MmLrxg3qTvnaPIuSObWE0WvmhiHbvyn1vCSDqjKHT+N3mX+5Z7JyedVUkdPcmYii7S3ge6vdMEpa6d8s3p56Yl9FKgxxD2nbauQS7tQMcztiCZbz9P729U/EOkoUuaUuIKVLa6TI7Ozo4VAoEOjPePWXjO5b8Nd8M629CTfSYh1Sx6OT7vtjBdQsI7EPyOPRqIwrfweOyKo65Uhrl7yuL4w8jq2WiIbCCOqaE1u4JundK7n3T27Y9KLFRveL7L5s9hQSTynM8yep0ZlO+YSrxOnbEqMTrlw2PROLefDOba+65eN5pghveLHt5fK1KUuVMdQ6p8JIz4e8igXQ+4SHWKc/ZnkuRRuDpKdKDW8R1veCVhxx+XIj4VLYj+TxPVsqqo/TfVlRRZ5W+gpYV7t5r2/6Kd/BeUiIpH8bV8LZu0mPpYdWcs2jl/y4d7pNKR+ZvCftpnspfz+Vx4sr7mFXs16CXjeemDC8lT8WHmUOGOuRq5UEvW2K2+E8P6ydDxypEFZ3dVhvQFMCZUtTZDdfffWbYKzW8ZUT1cJCWyoIEyWXfCZxdnHGEJlnDUXgccUfRlkvOs829mojtofiSVAki/KLJOlwr37YTCTvfV0kyxYdsxx0xwMP2YKAojr0CcuumUaj7GmoIqdpvZSeZ2UmVLanahrhQ3rSefg7tPsfyWyPP7KZ6TZJUu5hPHorpZwFNKFxpvw4k0O87t+XfnDcmEdrj9ft5g4x1nNWgtep2xBN/1I5lxKX1Al5oea1M3VUHqnfDBgkW3Pia8nPUQqtyTfuTW3vbo8ofzW2/TZOzTwvTZxtuy9/K4ZuPJoMIYuo00KZMpD8T9d0uie7chm6JmZvQjrU+5NjxtnCW2UpzJxSJraI/lmQU8nqlY/P2PReuyJ0nLCJ8M7mrADsr/Z7Me3fiqxicyZ8sV9Q+tXw2sNJJ8PV2P0f4PpH0h8LCrURPW/8OC34T0K7rv4l14VqxvUs1l+++dR791O666dpfMHaSkPGVBEGcE7zz4rEYb8GlXoXz/PqvERZz4s92Rw0pFb39KLOvp/ZdwvrW7n051pr7elhM3TUQ8tpXrpQzodZ4j57cbyLR6zcUnQQUuYUZQAtP5/CktFE/8zL81xs6WKHBwhPdXuq1W0gHtgUWlQrZThKWCQRtdqy42tdvCN4OETwBTaPUn0pSfp9DkFxkVgA4oiMlbn2uhwTUJ6j1kGBcKAKDMFeN/1hiI9uZDIeBo/V1DaHh27hzvYcMDcZOCzjMZvIWVhLBQFB7m6WbX7pNAcgQ31FNOCSKSDxJqHsD8BOXCHYZB90xiHcYWKgqBswmsPxAWW0JF0nwOfENgngOgOa+bOSTkBQ+0INz/YfyyeYZmz1WrkXQzuEu4EIbA+jSJqH4u4jvHI1R0DqDV2VRwPmSHWnHNc1ia8CQ0MKaZY3DwHJwV1kIEV3LrdfHpJMQoqKIxzDfwDqLBkKCg+zYJU2m1HINOCqKekQzzzk4lT33A6+JQJuN8SwCiSUPZnO+xA7Q8RkGwMsnJOqVpRxAgwLJAtNAlg6jUcwYDiRF5A/IgBSOZYHsEgZ1yTQ6s/SF7W6choyOIWdwx6+W4MhrhpvCXN+UUrjwNugmlNJKEiZk60ZtQUzpMgd4ZkSwUjMSUHqCvZGaILDmzCHj8Vxlr2mgXRYwQRQUdTtIiIniA6AKFxA7A4txubOlKDkR5bDlDG+J+wKDALmyjRZaSJHYXpR64Fm6V6ilwIMREK9rEcLX3fP3Zw2TRR75Ic3MUW9kKNkEPHrxtGAYh2yGg7FPuhCArCCAcwSzdFYeP75CjQvtX0ea3o0HmNxAn65Rpq7CwWKRYggoLAM+dVAN8hC5JgWCIDInTMuc6EK9xuBBgiuEKXaRVWBRAQGMtKwv82w3PAFUQFVRYfkKhNO1TAJSkhvuSBaTm0HdJO8NbOyuwjJnwH208/6E0WjCwPrKAhFs2JQ1AcdICgSPUa9qWzirR2ZdsuPo9hZFmUTMrce0o4CKcINy5MjB3HaHbBAG6cAUhwTlUnaU2GPJM4mx+BRciBRBYpIsRjEhClChQOeSTwlkYMYx7S5LFJuR1mCr9ZAhJFD0zrnSQ13AliGk4/j6chnDWc6GwoTbzjN2EdhdKU9AhLMtzPBdK9Ka1LwF1kPMne7ATG0DCIHKcbPnEQT0nOHgf1qgIHiysFxjJIxJvIYgE7dU/4JbpWF3eG1U/eEFNyRCISINUlDoyIDgZag5UB2IgS1iZpb0SZBJ8LnbonEGJO0KYFxWjZEIlggPAEmp6D2gDGAoiAKAICBBAN3nRfyu3UHAlsVflilg/q+WGgL0NDtjQQkAO8NbYJsGoId1Fz1GLhaTBRI5X6C/QWPFZ9BO3Dx3C5Zh6WwgMBkfIXNthgwSyNpveu5LybM5KA95PBFkgCkPycpCpoG81V4bLUKsrJm/JdUV4FkQrMhiTI7gXGgPAM6FuP29RREr6AueGzpHTUW+0P0BF2KHzQHz2kGqib2GIIK9C/0eQu2rup4H2jpvqGnYDVX5BWVrCscyuPXgFJgYEK8lz7QL/z9NfoDrD+H4iZk3Yjz02fPEX2UmG40RsmdJf2EO5q/1ITniN1MmUhOzkCUFC/hYKxnL3UX+iBUInO7G3Hqe5LCP5UmiI4lwCg2EN/VP58sFNQ/EbIZ5noaSSQTVaxYZBgBi+FZBh5w7Fb6w+P9PHb6XBNKiec5GECGgmAGFGyKYBzlQj4vm9pnhnO4qDBRYsN+VQPXNYyH8Ig+377/jZmhhkQx++DtjT5EYq9wyIDX60GonWjO7OB/F2dCUOmSgiQFR0gYkMZB+YkaCMBmtiVcELpVYXKlBpBlIQHKfvUOZNraC2mTTDj4fZf0oG/82XFPqIHQ+kPTMSfPEWTKwoPey2kmOTjvk/gkk4Nw4EUUBvzjID4cDudbA1Zw5pCS4aABCL9XFCvkxD2VZqCvE7A2KA3Cs30FQZBBAGNhWj+MdnMB/CDnHRp1njYbtmNFgErbDtTMcnyl7JIQOc7Zazr6Yie70hc5a/bYCNjENUZpdSwkpNL3+MJknY914IIboXoYUQOt+DgM4lxwfxGQJRAcR9tiiECGGMK4S5AxRDkpS7g/xDK0DzUf4e2s6MkNIlQOBWrDaAG+e0MRklfeRPZQkURYRAVgh6yiQ7AUokuEv2BdYPiC7jKoHpvNjOKdZbYoDwTDpsDNpwJQ0ggm18wum22EB3LLTECqlTRMMvCDMIGFSi6oY8cWFtBZLrbgIhpC61XAEzJXb+zuSxizVu2gyGfK8rxbCPLiYmm7hVjQtBpURunepVeM/fum2hZIKSzo66bwNT6GquyArIIkW0U2ytumpSNC3/gYICF8v3Q9weXkkeTEH9RaK2HgB1pBpYFj3TwKJZByYTIM9Cp4oGABg4i2IpQQaaX3JZejvPJH5/PbtDx5T44qFwqimKteuBaDPpGWHPxhDmqHvSqMzKUXIhUBhKzARGoZHAEsglSY5JgIUibD0H9sSjGHwddCuDkSGGSc/zN2iXcVRq6tRu25bSMtra3MKuUqNsktbPhqf2X7xPPw5Z3FBtbGC+TWeYi1BJ4Dd5g3UdBx6T9Bc5n6WtuT/tVVC2GE3oBBcu0LnyHd0CR0tmXuOEsIBR2B9I6Ti8eRCrUYj9/kKH2EA7JpCTpFtXdSZwbhnPyBA7/1v7uBoTT2Vylg7gqiQBCxiwE8/bZuE8Qkj1+RWhM6Oc7hETfUHBKBCZxxt5qi7CAgR+gR5TC0cYtkCZmaQkhoNCNFlMfdz9R8fWPGfWPz3Tx/zWMpVkryZwXlAJYLkrLojUr7hSr5RVi1WDmcjmjkbsv2pmWI1kyPqu2mZNalqtIiONuiTL0kgQjpn0Z9+80sMnMEdo4GbFi5d03ePooNmW55MwQIoxxj6Yha8XIyz5baNLnQ/S5RlNuOTnkuzlk1qd8g5htTkHQ1g6pBJWtsj+pN+et20sJVh8oI0Y2SnjjoVcUgtdZ2vfmW4MmsYkMIgSSwi7aMRRxzvwNPejwRPXmOMcNryzPc6RwY0kKDHOO+nDQYPGBSOMG6nHW8ioqDiXybRLQ6uzlkRJGHJ4c2p5DiG0mbwQYDbaMvDYjnp9UWIh81xvx3h2RRY+BeK2agkOUIL42swOw7cRNsZhI8ax4cURAIDJirbkqeFB73V5GjNnvORmrcXZ6sz5ChWtn9E6M3xDssvTQHeEUSeXFs1ymHHHVOQKSYHWxSPqMIxw7S8QTcqTRCrQim3cWZggvA8BZMFklCbDvRLIJICaXcu89bxmedtBbhTHDyNOiiR01RGrpuMZ+ayat8aghaGd6qnAfCpcc6xjRMdAY0RQabTw8RKTTBKyUlcLiMZ3zzm0yo4ndcc73qqUIgd8ojBlEEXWpxi4Lj4blsqkCNOwhCfs78Stb7RpwejKvDkj0ohsqBqT4qtBFuCgqjjUWgW0ZyLiS0XMQdsWSVWBZbx004JOfgLMX6neee9XUnn3NE9r2jStgbkJi3FnJAhRZeE6uTw79PVDFUFgR5tssbIKmbxC2cghqDVhhGIGaxhqMg2ZgzqfSReoHMNmGU0+L6kPAngjWjKJ5TnWu61Jw8JpmsrpdSS0YWVKEyTMsJ1aMU/jgyotNgWn4FhFtWtnPnvS9IznnfaN5Y2CLj7R9aMEUTo0jGHZtCE1te5zOjDN6scjhsPBsC1QIR0ja6Z+UcwTO+ZpFioeUI+DcYR4YvMPmghakdiMJd6lZundybzE5mlfNRl5dcTcZoVUUWryjWqPNE6l3STf65yoEmTAhgQlkW4bnFMyUGoLgYpqgwiUa3IcAC4xWEghtCgjuMy5JiGYMgSwN0gaLoKYOgYdKeAdB7qRZyZKlGgRsWxQanPtCwYWiPTCiRaoXGKZsP+ZNrpEwf04lBYwDIt7ibZyAi7DQawHJcRT9cgfntgxRIIigxKmW/8uoyyCKkGhoA42HLJjDujQgVWvubLzi7LHLtu0WYtm84pg0FwuOkIQqZuyUCvECmV9McdkuadmJiaRQjn2uIlecZWBeBqQN0JN22ZV1jvOdPScpCSdZ9gUC6hoak0sUnGc5WkIuLvN9i0c5BPow/RYU5YbJrBVS/vM2Z5ajTrOsQ/uCDnQlZIn7Yj7zQjpX6ToM8HQaIcWIl+x2vEuWbryihIOu+EDOTPIBSfsa9TNGOts917woJg0okoIkkowpESoBSAFdcdj7R9ZnANyP3+JPnaa6qMMh9Afs0utQ8iENZz8fqSgo4zcYFBct3UAYK9FkquA06JgN2T3wd14vNRMVUJFFc4a9kQjfXhcwuDAnagsBGBJFBCsNirgOofOGK5ETLxE7dJ9fhhxx7qIHN18ihlrz6NJY1peEgi9UQVDOQ9ZFBnAZP0rhEHOkZ5XHNmvOgDBxtoDgwEMQVmCsXjkwyq101mkLEXWK9KaOgI4EjdXAAyIZ0o/tyNmJdU7iHRtCQg7RsWfj+OphXigQKZIycxr4FBJmlCaV/kRFNYKb2b2yXQ/h7fT1wq9ky36usTdmc1KHtQWSTqMCLEOO5+4Bn9JIUK7OFrW2fAH2MqTOyY2MsJI1bhysU+i4cgt/o8Kd41Pxi1aHc0DaMDsxozRmqozcpNNbeszTpwZWMpJMGI4W0rLUJuL7bxe3Kg9W/SzIEybUjDiGDaGKRQFIiKAHJLCYB+ZFRgeBEKkYAsAIsFkisEip4/RViJsVAzawbIWC7Q1cPKBGEiMVcMz95ODBH4fz4GQEGQ9MbOBsjtCZgjAoytwpR4oWXfhZ4WU+JJCCwXaBdw6Kf395cQ3AAb4rHALlgPdrOMGEPCPDx04vCF1P747gLvAgYn9k8A/rCtertfv/dhoH2GlsmgPWSBJErfTCihqFdSD40WLgWShOtH/IiIfOcu/ljby+B6gPadEQzgBa40wjTQlgjFaUrCtghWQaBMyw7zG6QA0KMESpRgBVEJRApZQFEthQWMJGDEVRkRltrZLD/lglKDGIomCRyyjDEsYU92/zG8xciKhb/COP5xs8A6Rp49BJAptXTZAwiptIACWipCKpoMDFbKAdr9ieD7rv1oQv5GGcICgMWsqF2hDZr9KNRN3fVTInXIhoSjYn5nuNQvIeqBCSMAivNm+IXD/XdC99p9n0t7OtFBhpiNkFsA3v7/gQO4vyut8/UTINzxud1mFyPKseC8PAlBYuCEdwmGbwGKzlhtfaaAMNgiRGM6tOS6jpJREYP79NE9vyGc/6xsYqxFZEi4E3EzDW+a6GOhE2Zo9J1VKFSv1aPl+bBH6mk8M+f4XlGURfW08RiTVUIMHSRFu4D2O2oIvQaiSZjr6VjD9r3WNKMYGczrBHWe4djgmkuB/Wm3ODyk7glwVT0WhwGs4FF0fBkB9HyPKec2D5WQhaivTKhaqF2EQokLFJTAnucJJZGICRVOZEZ8jD7ZoHQFyHCGByZMCjZEk6mnMylAwnp38viZId0kDlHAXIIjGKjWsngNs42HmiYPWiDB5XaMQsCqECxh3+vMyOYnSanCOmaiy7UMh5DAsYDotrsIU0DOl7ua1p2iHQhRKgIIJPNfIKhCcTIxqcEEEhFkgiCYqEN/WYTVnj03LTSrsnvGGtBkwqQLWFJLGEX1QagpIRmllVGneSmxFCBTTqcQumnBFvjM0bFnHzdCi5ZSAmCLKff1D9TJ+2gYjslJ3SDIsA0yoosKWiBaxAYwgoVCiAiREWgshPaCAFiskJrqZ6k/NlBYjAU++cAMgMiOm9BXGoxW1iqIyQImxC8QrX6jtHIcuacJnUvmHtgX6uusmeno7fPc3uLX9+VB1JpZIQYRBjGIyLEa4mOkwgISGMNEIWA/lkZBgq1jB28EgYh1Z0wyLnpiftTWUU00dpdgniGD8PlqBQPuAP1kreQWQmVGyUQfUcx2n2DfN8RX7AM0SJEDtOfkc3XgemRAzJMEjifNibMJpHp14jH0nBjT6lvZt4PB2+MHvi+ojRcccTiwl8hZCKxqmP2akVippJPXs1d1ZMb1i78m0lnVbsq83KhnWKL2rhmMGmJKPO7kSY2s5xL0xpZfRE8WZwC0UcsKxRYUdvL11WaTaQW8a7tO7txJjiUmJOsU9B30G44L8RsPu9ccMBpexc76b6A0ie8NRBDuA98cQEkQfPAP4EEVwhpCIO7xA55kGI2gSK8PA6g3YKCfc/H79lA2+j8p8Yak/ObiqU+lNDo0XvtzDCjHKlbClstpWUX9iymWKCihbdkD7DU7JkkP4oXyYQFA+CBBRQUhPtpO2CYT1HwlsIKTSUKZNMGCCfN5TvO4KzEA4uQJl3GMHdqDAlFHPvvfwg0agHOJmiLQq6A9xhozdVjznLso5rNBw7y0Li4lM923zv884xPuT/ezyoWWtpwRRWX1hYxvChhqCD3407jQFAUIZisEhDMinZq8vTxB5zV/JN+IxeTA5pUG0dSEDM/INWeLCI6KSEikIdLZS0ltkC2n3lzNCjP1FoGkTqFutT2CQow8j6JDZ6ovW+CVyM9ui8QniwIgkVgsRIiqqIjIsYDJAggRSJBihEgDE5aviRU/Un+ZBoel9thzFupIYIB1oB7dJAKQOsENYgc0YsYDCRfZSFEiCSRZBiSMkIM6w9idz1i94SlxQ5h6hKX0eUPKQCnd2IUjuxdkogQlwgTEDCDzxvexQRuRDgzmRpM1L/aJ7PDMbgPyyqomWcQ5gU/GRD0kHZq2b95dOxRDgh3bTxGzQ7AXQFGVBSZzOoz75pEuHceuGfMQhAD6vhy20euRIvQC7TwDA1c3L16rl0wLlFiCrJuN2HIrI5gzlyHqDgFySTys+pWSHQKBwBjJIGzR+B5RKHw76yKoiPcIci8mg1CVhasjgH0nbIZmkUbDFwhrAP3MxFBo032ONk6o84VCOEvqrlSRMoO1w5IeToT0xzsXVnS86E+yzBDUSiUThAxEv1lJgM51Z9t1gTpEtlvPF7Lue1puzNXamcLEFR4VkMGepzEKuCo28GNsjY9fk56etEfQ2om/cvTUnALErajjjBOIlTAg2RqnLDXUOWT0nMfytRuvr1A3AaJR7kEEJx8tNaeUYi+QHDjHW8v9XSrCARgSBGSQIMSAhAiHT0mP+HVf3eL68f6QML2s7nUBW82EhjiWd+c6mLmhchcOjrb8bqsgxg7KoyKQS2iVWWlWpNG77NbwIvOVDVFv2DZOU4Uwu8oRRYI6ElXRUtrEUSUYRSqliRRthWrOEoPIUGTUpwIsS6yRUolCtLBqVLTpzwcboyYIs4AECkiBOIE2GH8xQgnI4Bmnu9/LaZnegHxPegFs7AQ2GIb0hsiEIm2GwINtwPAdZgOFAqpwPmcxBhwaMcF0ibzzlHf769hcIF0oLQa/U9OYZzgCw16wNy7tbkVBQWdb7269VXyEeGBwGkl4TRVlhIshxCJeEvQJyBPNQlAQVVfX7fQiPQE9SAhSCVPAgXWG4LxfWGkWBRvA7esoHFXoQ1WNw+l+3uuOAeLFpid5tTkqHIoDh+bn983atWjOXIWWpG9ISGqpyuFEvhqEjECIpAAiOrrUCLA0ZUi3EKxVKEcldo0ZuXV1mwq8K1Q7iTkh2kzs7QHeppRhuu4QbN7dHYy7rH14Pvwugy3qCPOH+dM+jJTYCXZMyQy25ORB5Lvkw6Qh05WFRGkr1eQ7M+hd+cwLBtL6wYTaK4GLZkn07kFBz9D4/Y52HSlzL4QuGYbBU4ziFWQypfL6zmLHMdFBPJS/CYEN6czwIsicesNeQi+QliJaWohRGyKxkESiCg0goFVhFIjEkFqNowUrYIEE5+QyU+dmvd2h2AKS0H1lYgRSDkZ4OMDI1Hmq2FCXN/qTidGFOFY5LWuyuyQeqdfjekcMNQ6emGsIXJuyoTY4FBhLkj3HWWd8O+qMC9dPQ77I+Jso80XkdBAdxkEcBYNkQ/3RRSQFocDHBsC2U5i7aM2nbr88NfonCPTSUZWqzale86KwkhtSBZV6p26827/ioCoWOcz0GjDhZS/Cm9/LfLXjRECBAl4JoCA3A2BcGVdWGWi6PTSYIqKi4z40Mi1WKNGAx95DJvRULPvNyZzS0GdJ2HnezdALZOd6k1vZkWTRuZsRNBaDJtBmZgUKUgyZQsUVIMN5hiKppKNW6Na2azoaNBrhN10Brihs3BS+BwYXVsahQBjmrAJcMjCN7sxOKGgFFmDIYIBiojFYJiEowS5pzUURLNZgi6YdLl5HmDZ2bwCZnFE98jyLhYjEOIpG4hmUKaKSoYb4wMGa1YEU7gH4HzMGw2mqesqgWdiYNwJNN8slwISmGbIV7mEohpnckA0kJC30l+BrcFCZDwJwHUDRMKQoJNBCwoFKKCTLka3z9Y/xR8zIYEMkFHkIBLLjo/q2XJU4RUkkjCQ67FD5157bEdqmBbz1OAeWYaYdYhVniLcE7C4Wz4AYkiyAYwp0FIlGNI3YpdjcuN2IQhUY3RpYQNEMI0KTSYHBCZJKblIJtwZKRMQFJBF/4NFBSKCgLIpFCBAUgxJATIoBIxDYDglNyIDFYCoqLAERnhNgewYZoiAmmSOgCIhaIsiqGhc1IEJfE7/NQRlhU0ickhj9esK/oRHcURUNRbUoS+uk29OzswOBCPeu7USKsmpgxgMCtR1cKkfcnp8KPeNj6UsveF0KCSTtGCMgAj5ofQh6t+rcw1+bYXlWYAnCLjUffWqZOWxod4nadPQ9rDlYp4lNSJUCRXEtjEveUIURUpP34qFlbAQgMFFgCICQBYERgsBGEWBaIyUNDQViCCNJQpYVoJZMiHt1owvOrjFG0KiIxEBiIMhunl+JXi5pzgKoT0gDgixmMLgTDh4E3XxN/VNkp+Nhv6biXpT+NgIzRS9XXG85/QNDkUEJTEJht37jLi/Ct95Z2ZIwWd0PJwUGG24UnggP2kYsRkdUNBzpqY3ea/kneTov0lF+w1LD4Yv6nFxNc5ZYbc3YxEOUkyKkCwPk88GQRudHwekoApiSEjKIFKQLoZ6VfqDOhkCnOaVOI5Cj937xX1fWbesYwAigeaQSIqIjEGJCbz8UwcxdMA7yBfdKuuoUsWoLBT4pEiHvzYFhX8sRDxrcIMikGLi6irQWqCkYFQaooSSgiIQKk9R5lJoIk2EEcQTbBf2q5OrPZS1s7YASiLa9KWUJgBpLnvhnQC7uIOsiFkzF35ydhzm4dLCpkQ0GIBwmA3bkBcJmdMTak2O0A0TMonfDpShkSL+gYGMMwLUIcooaQmDIwZjKmkM0oCu6SUR7MKFDruaQgaGZXhoVPyaWWbNpW8LJMSJc1p6QDAMAxCJQYOsykgyAHSoHUQUHaQRAoCIoX1QYbD0T1fuo80vJ5ylSqmMhRxigtSeqHnJ2EBhA688ANxxiD+eKHfCEVLEQCoJW4gMSupN/sQg5gMiYBRSQgNFGi2svkfI/AgxgVoHrgYPR1BIwIDnoyRekVeoJ5Bw3nefi+S4pJhEYdx9wq/xtWNMBRQg0APWfoeu5SeWhVP1ciB0eL5IXJ72LFI1xOg6SmNED2UpQi5NqCjf6zCosbJkT9Xy+T4MjGiH0qKJ9h1k3FgQjKGhMzsoyKhkJqRgWaBiagKBrDRJgsL0NQMzmhLjAxBoxGYqFmu5gdHYQDrHkf2VO4ELASB94K5Dh9u6fIIgMRDmPQAgPeUIEMXML0I8/zM8GXk2j3xM+e8f0JIUT5+t4jOlPPUSsYYcjMIUMCYxaE13HZZbOs02rnvaxuhQaEJtnQjzA9RAI9DvUP0olNzrUO2wJzEzCSES4G8dG2e/7NxZ6ZJhGgP7glDcsQvYv0N+FhZUOrCE3PkVkZC++atgJwyDZwOakkC4QTltEbq7EzYn54SYAcM0wynAqipFIKAghBIhFkiCQFAWMUCAIqMWQSIgCQUixGCMFxjePPonNZ9Bz4brnT9i7G2EqYMfu7HhyKUKJIQo10W4X3OROco3jDx8qGpJ9VmomkM92s+Y/iPv3rjixR/ka82VDi/+nBXizeUVvXi62zqaRvHO6mbDdjSy7pIaysKtKvYgitI3px8DFqyP46fKyaiCrcpG1mnhFUn4biYKwo5A9xTgkAh3EWC0I1/2ObhwPoEsJZDiDAMwU0DAhEKIlgcMkjjXrazoQG4LoWLmpSiCS4Y9Qw7peAOAfDuw7wwSph5h/Vax9suk9rzASMFkU+6n1z2U09ntnO0fM2fpBx2xVQYEG+X+sVC2ZfMlvVKifFejRQj7mk1Zrd0bXKd06x/OQISBOhfQUFxy20ptK1WkJE0EZt2lq0eMu3tQyDoFscjt7AkG8sfwtD8rpfxl2FNlc0QZaD9ZmMTLSKCRIjDZlgGMBgljdFgCSCSsKI2kWKOIWVO+ZJLx5lwOfjgWWimOyUUXGWgaaEq0QCTKzdNWNks6FsheZcrLuTFFuGCWpWEGKEUFEIllBUaUXYbNTU1ThDA0WzYjBU2U7rlssaMKHS4QTFoQNGOhToYfIjCHnR/IQFuK8tJw7K9HRRgdpv1ho2PALZNxwgz6YBUmQKdSUgRVFE+INeG/0B1wOEym6SakklhqDGqatGn4DjGV2MlMieERkEnSdQ9Q7nZiVSBhXKoYh8utTspwhYfidYdamDx9L022Rd/bIuwgbZoKCdguhfeJFxYTG7hbM23yQ7CR7UJxw8naXuKOrNXWdCUerIKQg+KqSZ4Gs4kJyKoNAwZ+rxq4BwZdycQUCxAZDZzSlxZoHLLKNE1QvhQuUKiaSegOoUPL9NYyWLeRbteOtG8rUXNMtmqi6kiQHsyO2rDQdlHDH6KFVQVENkxFjHuOnmMGnCuhk+lKnknm7fTJN4JICXmHJU39FGiGEKGmTx9Nn4bzH26po00SlpRsX7cx//OnK0VpZMxu6pU7G+o+HVPHSc4Htidh5HsCg9UhIfEHTqiT96zeQPdl24Y0FWCMksQHJRRvSL6EA9Yh+thO4/VkBoANB7IBBgshnItg7emkdYMC5UVAkAnnF2JZ+JoDKI6YRgIe1U+1huO3E647JO3pLWmd86Cfj2+cORtPeZucR+MckORxJZLhGCKpIjDMoiK6mYV9jpGFW4YLJUglIlwYC0KOrAEMFLt6AphRkikkYMLbJYDJARILIisqS0GkWEihJBRYoFJLGUKIFggIJQLELICRARkBjAg09AdgQWKEiyKZzVH6ILsCD6gbdIpGg+CccFjQ2HHEqILEDsBsgz5PpmH8WKmS5NjPI9d85Z7fc/19tpib6ymCz4Zl9ca4rRg+7M+h18odcLlocc6cNwaQfw+5gZ2Y8L6d5A8+t1gn327VhiPqPx8SjLNP8TYMNp+auht3khj5u+XKAv90mGYMWBfBUNuWcnxrtNoONDUNavQkeoQapq7Bqjgb2soQoipKoPYpR2RO3BUw0GA8voYeOWB1+PMc5HZ08PX8RR2nwVK2w/K0uqbUFcRJRLlZpfynwjdcNJab7tU7takrnmHnpE8Dtuxo0jXAtXl0ypycynO7BifdTyN0fITbJ305hZJNiyJ4pJ7l3oqGglfgQ7e+erJZMW+tCzBSxEU7q8Uq0zoKtIWIw9KKp4usTZhyLlkkfn7Ygt3NmAHzSp1qNw0bvGqD8cYrCN22Yo1uquJismd2BudNhvIdnMODzGlripU6pwUAa/Vgfa19UmtZkYiGqgJB6CyzMvJEM4aYWRSt4WCi97BnLZHmhpRbqdBiOVMAcECx8XdsGtJSbhNxIaSBt0Ku5KUCXsGKjiYsfwcISFToclUvGPLVZ8g0m1CJhjMf/MPc2SSlqnDBDOO43qaMmLbpWkqTKtizVd026Yos6DrpRNc5h8vHWaDSKnki49POoopcaeRRmolLELLKKU+hYMDjCQiXglevifQfPEd+YaHeCDD6jFkgh5LWndYFv62GqGHo+/nMg05ZO0nbPlAdOlQo04FJ0O/xGE7u8pLok6JhpU0UpYI3G/XNFJkLD1zEpQ5EKKjGMFUhxbFhEwBESUDeygS2GBN6JU3JkBclBGGh7Y8hBZOPmouXU65468eKXY5fUeRUyMg1liQgKRD5+mhb6bsULGxltkH+pqiO9ShuFRqCwYyMZNIXClYIlt0ZCUxNHwjrE1LiO6YumOmx4Tg7xd4eBRyFMjMTCjiIXdBvHWTGYMzArNXHCtLLU0tDQMny25YkeDy3vvg+bCuQ7NtCl+wN8CQQM8Q0QC9osCM0V0eyiHTdwl5UpdSwnW+vyippU2jFcjFoFyLBITqWCb5JIQkjFY9dcMiFeWX+LamHMcsTL5cxEdTohA6YMmm5UOYL5CgxBCy4HVCQSZ1A6Cu5D7eEwyOqbNCVXVe0NTQeOQIO1+8NeY1OGZqRTqgWOPko6DhWNNGEKR76vLEOxzGlAtu4EJteyvA1yOVO6uFBnggYkVRAWLEVBERUR4FY5gYH3CYZCkWVKWhUCCEiCRAFIQRPZYUYeyECyZAYMmetcZTPUF2nghZMpZN0c4yFZwOkhRYxWayUwWqIiGWpaFhMLXBkIiEzMHAAFlRIbiSk4GRAOWd3iZPRGiLUvfY+dngmkdk+rnk2fITtBhwc8UqDL0LMWHESWvKcTVirqxPCd4MmTUQ0fh2gELOjs/HSwfTzRZxskp8E+4B1yx9asnPgbe28olwtRvhiHxj77GcL3kaC62sDS5KmBmJ1BuDmRCMAvcHbR4R4DqEbDj14yjlmFXzWgWxTbRQRdScWAnzPckY3fohjqTJwswiAdDOyD2dx6NPDltPM0aj0JR4Eqw83R4jnVZveBx7T41QtK4f5qzWKfM0/0iglM3sg1J5LecFrX4AWcsDJmQu7ijfrllYWwZwiT86dBhrSaLbdDlPky+ERWocpzwMORWC5HAdD0g0ZliaqPpLs0DIzoHJqjwliY0Uc9E753z253NUI6O92OzSMBiquSo66xnR0xFRbFRyIM6bRkEG7QdIDYdYY6PVVLyy+KOZKNsDEjLhZumU9blc4i1BLdFYdpew6Q0G3sh1iuremIcUpiLNqF5b8tMTTxYsLrN0WkqoQiqAyIhWEjOs6inSXinfZlu9JwUmNAwKcZzqyHJyWBKMENqcmE5ZXjgoHENVKNTpYc1zl3mtGzcZCvRKM6DthhRT9TifOK87uMiHzMcTU0UQnpSKk86cfnD4t8Nq5JIt6EKpgJLmSYw7HGQdmbA9nsuiTaNm8K5GXGCCnRt+pbl4qRxmRrlOTrO44ybGCRGKIw5MN0hrUlwLygoxCaEjKUMzBE7SmjBqB2LQ6lIA0CoagxJta0oXG6vAzRlXe7cwRrqYrRtYrWs5nKxjYzNiWEmYhkcFA4UBNBkqjCMmbDJRhYTqTpxjs0mo82YiMoSz0PKNIdGMEjkGMVKqiaQlrz9u9udYpkFJmCBmikYwkSOa21jGDdkoRdN0whSBFYIVdEGWd6Bi5BB2cvWYPYGwxRnbdmGNNzOzq78IJjvREhGSaYrwsqeCicRscADUgfe7Kc+4pLkBZFcgzliw4cr2TcHQ70blxXIggWwmkhQlPMpiZRymGcOaslgiMEiJoMLBgMWCyKzMxFDQUKQ0y2y6ghEyFKHoDvaHnPDk6cwrqpUVaUompTEYIuZbgFp4HU4QJgw+kPM2cpt/zqCRBjMBFoHNiY6OkfY6ZTRxYZRg1EnzCjx3Hy7bFiE0gnUCMREsItKfU+tmavEtGMz22iGiR1E9qsmJfmHNWEwIbMCYXdN4C4TMRQeQ1WmkjjqbuBwENIxH6Iq0qVBBoh2xSkMyIBKxqlLAZj76uNsOV0XGwKWETW3DG5gocJYyJB1vkuTia+ujF6ghj3Ho7AoMFAoHHlZkgQgJ2BWCqHFhp0x7c3IknYUzWkmJ7wLjQuAWo1coW0wgKZKiiY6twlJNHGBRBmgsMNQljos1ZZG6i67xOMfo7dSFRlqmcmSUJxIX80t1CJ0CkEIM1qbAgO0ATpCIb71OfwTAyDGPVNcITzskN4CdiqqvSIcgcAZ+UtaRGFdv3HbZhs6X8KevJbYHGVVFWHUhShGHQJYHAgVD45KD3d6MUUWBg6hoNOF7189corhtMzScJCaggXANqLA6sjPDNyO0TMLz3LGhikgQCIxA8CzClPuIF4ImsCIpvxoOAtBy4bX2fb1+LppYil7ZPce76jc1sE2U9dzWoVWHINLBV5Y2DdZxkyQxLuZaFAqCmZAS5gaMLVYuQ6R38uzTQntN878RgpKgSipqEpV9AdmsDpDEW5uBoEDVFcgILhmBvkxBgVWSZhHH8gkIRQcp3PIUHTZgOtPKCbhOVL0CHLi5TsIrlMNoREzjDrhRNgklgkEYxEQm40QNWsc40N/wbEIoSIDf25iAwJZDAD0j7LgalNIrmJxDIHqihGB7yAsIMdiP6stCJ3AXHOEU/ia5iQisoqoFFUMKoImpgEQcDivevm9dg7O2mJ5JQSDh6a9XlIgPi8xNFgkh3JPH8c9GEDRLMcOwZnctgFyB0A4FD5FhbFF5QVaHrx7wslCuiIEmDk0mOG+98YD4jtwcHcghhNeWAwxA1o26aukI9JkdgYkSGrTXCA7Rg9QcJ8/9d+hvu8ZIbRi/0WXKszAKKQWEBQSGVQjMIHPEMAgDCGI2pHxOo39XP+ISAjoSYfroKfV102HafR8oWT4En1AhO49IbtQ8woIkT4Q0InKmq9jVymUAqRoKBoIc+guK4v2biu6Gib2HfYKR5SNUwjsSHv+evdcMEs65DXttYKEhYoN19OwrMa8lzEZFmXxCwY5Y0fYXTFhkNJkNhRodJ8AckPRPAyMg7zIwF6SbGPqMYQixhQQ3JkJJY902onneh/d8a+/6vFzwq9/7meeeWM2g7kokXkm1XcUlo7awyoMOBFqmMX9xDC1EfZ8KMpzHeGk49felqAj3MhfJsXQ/JYxWAMkEBZYIQqSFGeLIxRIsICgT3xQQMzwPHBGswxUMz20Dog+a/IfQS34zv353vdZdH4pitD51Ba/ITXqQtRt8n6jtENk6OhoZZ0KUNb9tukECHTKbwGrHkEsSXHrwcYZl3tU9DFM5NzKVgFEKMbtm8i6AoMyRdxA8VkTudswQTbpFN+LmhoDJQNBkacREsHOBiRXR3+yju7D47nuReqBsYLfRWbJQn+r8GaMH1fOFlD6X/MKiLEBNeYXgOMEpHcI+nzPmTHJH9u47+k/dafafy+be8uuPL0/4lKtnBij+Baf2V9l+TFjhqNVM//6T/z3/H9b/SLuSKcKEgjXUMDA==')))
\ No newline at end of file
diff --git a/examples/tmp/02105week2/02105week2-handout/unitgrade_data/Stones.pkl b/examples/tmp/02105week2/02105week2-handout/unitgrade_data/Stones.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..125aa648ecdcca1ead793e5533eb67870d27f11d
Binary files /dev/null and b/examples/tmp/02105week2/02105week2-handout/unitgrade_data/Stones.pkl differ
diff --git a/examples/autolab_token_upload/tmp/cs101/cs101.rb b/examples/tmp/02105week2/02105week2.rb
similarity index 70%
rename from examples/autolab_token_upload/tmp/cs101/cs101.rb
rename to examples/tmp/02105week2/02105week2.rb
index 4c4cd2abc1be9dee7470d9eec227332d9840fcf1..860cca7ae1696f9f33544c9104de6c66b4cff9e8 100644
--- a/examples/autolab_token_upload/tmp/cs101/cs101.rb
+++ b/examples/tmp/02105week2/02105week2.rb
@@ -1,10 +1,10 @@
 require "AssessmentBase.rb"
 
-module Cs101
+module 02105week2
   include AssessmentBase
 
   def assessmentInitialize(course)
-    super("cs101",course)
+    super("02105week2",course)
     @problems = []
   end
 
diff --git a/examples/tmp/02105week2/02105week2.yml b/examples/tmp/02105week2/02105week2.yml
new file mode 100644
index 0000000000000000000000000000000000000000..0b65d2aef2370d8b7385aa5192ff811327518460
--- /dev/null
+++ b/examples/tmp/02105week2/02105week2.yml
@@ -0,0 +1,38 @@
+---
+
+general:
+  name: 02105week2
+  description: 'This is the stones-problem'
+  display_name: '02105 week 2: Stone collection'
+  handin_filename: stones.py
+  handin_directory: handin
+  max_grace_days: 0
+  handout: 02105week2-handout.zip
+  writeup: writeup/writeup.html
+  max_submissions: -1
+  disable_handins: false
+  max_size: 2
+  has_svn: false
+  category_name: Lab
+problems:
+
+  - name: Unitgrade score
+    description: 'Score obtained by automatic grading'
+    max_score: 10
+    optional: false
+
+  - name: Written feedback
+    description: 'Written (TA) feedback'
+    max_score: 0
+    optional: true
+
+autograder:
+  autograde_timeout: 180
+  autograde_image: tango_python_tue2
+  release_score: true
+
+# problems:
+# - name: Correctness
+#  description: ''
+#  max_score: 100.0
+#  optional: false
\ No newline at end of file
diff --git a/examples/tmp/02105week2/Makefile b/examples/tmp/02105week2/Makefile
new file mode 100644
index 0000000000000000000000000000000000000000..5d8022ac0430b53c43badb1055cbbff5d00148d0
--- /dev/null
+++ b/examples/tmp/02105week2/Makefile
@@ -0,0 +1,55 @@
+#
+# Makefile to manage the example Hello Lab
+#
+
+# Get the name of the lab directory
+# LAB = $(notdir $(PWD)) # Fail on windows for some reason...
+
+all: handout handout-tarfile
+
+handout: 
+	# Rebuild the handout directory that students download
+	(rm -rf 02105week2-handout; mkdir 02105week2-handout)
+	cp -p src/Makefile-handout 02105week2-handout/Makefile
+	cp -p src/README-handout 02105week2-handout/README
+	cp -p src/driver_python.py 02105week2-handout
+
+	cp -p src/student_sources.zip 02105week2-handout
+
+	cp -p src/stones.py 02105week2-handout
+
+	cp -p src/docker_helpers.py 02105week2-handout
+
+	cp -p src/stones_tests_grade.py 02105week2-handout
+
+	cp -p src/StoneReport_handin.token 02105week2-handout
+
+
+handout-tarfile: handout
+	# Build *-handout.tar and autograde.tar
+	# tar cvf 02105week2-handout.tar 02105week2-handout
+	# cp -p 02105week2-handout.tar autograde.tar
+	tar cvf 02105week2-handout.tar autograde.tar
+	# cp -p 02105week2-handout.tar autograde.tar
+
+clean:
+	# Clean the entire lab directory tree.  Note that you can run
+	# "make clean; make" at any time while the lab is live with no
+	# adverse effects.
+	rm -f *~ *.tar
+	(cd src; make clean)
+	(cd test-autograder; make clean)
+	rm -rf 02105week2-handout
+	rm -f autograde.tar
+#
+# CAREFULL!!! This will delete all student records in the logfile and
+# in the handin directory. Don't run this once the lab has started.
+# Use it to clean the directory when you are starting a new version
+# of the lab from scratch, or when you are debugging the lab prior
+# to releasing it to the students.
+#
+cleanallfiles:
+	# Reset the lab from scratch.
+	make clean
+	rm -f log.txt
+	rm -rf handin/*
diff --git a/examples/tmp/02105week2/autograde-Makefile b/examples/tmp/02105week2/autograde-Makefile
new file mode 100644
index 0000000000000000000000000000000000000000..e8498f170fbf69a5102df356074d23df518a39f1
--- /dev/null
+++ b/examples/tmp/02105week2/autograde-Makefile
@@ -0,0 +1,7 @@
+all:
+	tar xf autograde.tar
+	cp stones.py 02105week2-autograde
+	(cd 02105week2-autograde; python3 driver_python.py)
+
+clean:
+	rm -rf *~ 02105week2-autograde
\ No newline at end of file
diff --git a/examples/tmp/02105week2/autograde.tar b/examples/tmp/02105week2/autograde.tar
new file mode 100644
index 0000000000000000000000000000000000000000..225f8fbfba0a1844805a06e9db0301b68616f71c
Binary files /dev/null and b/examples/tmp/02105week2/autograde.tar differ
diff --git a/examples/autolab_token_upload/tmp/cs101/src/Makefile b/examples/tmp/02105week2/src/Makefile
similarity index 100%
rename from examples/autolab_token_upload/tmp/cs101/src/Makefile
rename to examples/tmp/02105week2/src/Makefile
diff --git a/examples/autolab_token_upload/tmp/cs101/src/Makefile-handout b/examples/tmp/02105week2/src/Makefile-handout
similarity index 100%
rename from examples/autolab_token_upload/tmp/cs101/src/Makefile-handout
rename to examples/tmp/02105week2/src/Makefile-handout
diff --git a/examples/autolab_token_upload/tmp/cs101/src/README b/examples/tmp/02105week2/src/README
similarity index 100%
rename from examples/autolab_token_upload/tmp/cs101/src/README
rename to examples/tmp/02105week2/src/README
diff --git a/examples/autolab_token_upload/tmp/cs101/src/README-handout b/examples/tmp/02105week2/src/README-handout
similarity index 100%
rename from examples/autolab_token_upload/tmp/cs101/src/README-handout
rename to examples/tmp/02105week2/src/README-handout
diff --git a/examples/tmp/02105week2/src/StoneReport_handin.token b/examples/tmp/02105week2/src/StoneReport_handin.token
new file mode 100644
index 0000000000000000000000000000000000000000..37becd782259655b9e8516a08abe63ab3d3f2183
--- /dev/null
+++ b/examples/tmp/02105week2/src/StoneReport_handin.token
@@ -0,0 +1,179 @@
+# This file contains your results. Do not edit its content. Simply upload it as it is.
+---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
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+---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
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\ No newline at end of file
diff --git a/examples/autolab_token_upload/tmp/cs102/cs102-handout/docker_helpers.py b/examples/tmp/02105week2/src/docker_helpers.py
similarity index 97%
rename from examples/autolab_token_upload/tmp/cs102/cs102-handout/docker_helpers.py
rename to examples/tmp/02105week2/src/docker_helpers.py
index 38cf3134cc1b5b032dc1e9088a7025e824862dd1..0b82a931c0268a356ee54f777fbc7ed0ef095e3f 100644
--- a/examples/autolab_token_upload/tmp/cs102/cs102-handout/docker_helpers.py
+++ b/examples/tmp/02105week2/src/docker_helpers.py
@@ -33,12 +33,13 @@ def download_docker_images(destination=None):
                 shutil.copytree(tmp_dir, dest)
 
 
-def compile_docker_image(Dockerfile, tag=None):
+def compile_docker_image(Dockerfile, tag=None, no_cache=False):
     assert os.path.isfile(Dockerfile)
     base = os.path.dirname(Dockerfile)
     if tag == None:
         tag = os.path.basename(base)
-    os.system(f"cd {base} && docker build --tag {tag} .")
+    cmd = f"cd {base} && docker build {'--no-cache' if no_cache else ''} --tag {tag} ."
+    os.system(cmd)
     return tag
 
 
diff --git a/examples/autolab_token_upload/tmp/cs101/src/driver.sh b/examples/tmp/02105week2/src/driver.sh
similarity index 100%
rename from examples/autolab_token_upload/tmp/cs101/src/driver.sh
rename to examples/tmp/02105week2/src/driver.sh
diff --git a/examples/autolab_token_upload/tmp/cs101/src/driver.sh-handout b/examples/tmp/02105week2/src/driver.sh-handout
similarity index 100%
rename from examples/autolab_token_upload/tmp/cs101/src/driver.sh-handout
rename to examples/tmp/02105week2/src/driver.sh-handout
diff --git a/examples/tmp/02105week2/src/driver_python.py b/examples/tmp/02105week2/src/driver_python.py
new file mode 100644
index 0000000000000000000000000000000000000000..4375e8e376e0cf02b727b6bf9138ebcde6dd42fb
--- /dev/null
+++ b/examples/tmp/02105week2/src/driver_python.py
@@ -0,0 +1,92 @@
+import os
+import glob
+import shutil
+import sys
+import subprocess
+from unitgrade_private.autolab.autolab import format_autolab_json
+from unitgrade_private.docker_helpers import student_token_file_runner
+from unitgrade_private import load_token
+import time
+import unitgrade_private
+
+verbose = False
+tag = "[driver_python.py]"
+
+if not verbose:
+    print("="*10)
+    print(tag, "Starting unitgrade evaluation...")
+import unitgrade
+print(tag, "Unitgrade version", unitgrade.version.__version__)
+print(tag, "Unitgrade-devel version", unitgrade_private.version.__version__)
+
+
+sys.stderr = sys.stdout
+wdir = os.getcwd()
+
+def pfiles():
+    print("> Files in dir:")
+    for f in glob.glob(wdir + "/*"):
+        print(f)
+    print("---")
+
+handin_filename = "stones.py"
+student_token_file = 'StoneReport_handin.token'
+instructor_grade_script = 'stones_tests_grade.py'
+grade_file_relative_destination = "stones_tests_grade.py"
+host_tmp_dir = wdir + "/tmp"
+homework_file = "stones.py"
+# homework_file = "stones.py"
+student_should_upload_token = False # Add these from template.
+
+if not verbose:
+    pfiles()
+    print(f"{host_tmp_dir=}")
+    print(f"{student_token_file=}")
+    print(f"{instructor_grade_script=}")
+
+print("Current directory", os.getcwd())
+print("student_token_file", student_token_file)
+for f in glob.glob(os.getcwd() + "/*"):
+    print(f)
+try:
+    # This is how we get the student file structure.
+    command, host_tmp_dir, token = student_token_file_runner(host_tmp_dir, student_token_file, instructor_grade_script,
+                                                             grade_file_relative_destination)
+    # run the stuff.
+    if not student_should_upload_token:
+        """ Add the student homework to the right location. """
+        print("Moving uploaded file from", os.path.basename(handin_filename), "to", handin_filename)
+        # print("file exists?", os.path.isfile(os.path.basename(handin_filename)))
+        shutil.move(os.path.basename(handin_filename), host_tmp_dir + "/" + handin_filename)
+
+    command = f"cd tmp && {command} --noprogress --autolab"
+    def rcom(cm):
+        rs = subprocess.run(cm, capture_output=True, text=True, shell=True)
+        print(rs.stdout)
+        if len(rs.stderr) > 0:
+            print(tag, "There were errors in executing the file:")
+            print(rs.stderr)
+
+    start = time.time()
+    rcom(command)
+    ls = glob.glob(token)
+    f = ls[0]
+    results, _ = load_token(ls[0])
+
+except Exception as e:
+    if not student_should_upload_token:
+        print(tag, "A major error occured while starting unitgrade.")
+        print(tag, "This can mean the grader itself is badly configured, or (more likely) that you submitted a completely wrong file.")
+        print(tag, "The following is the content of the file you uploaded; is it what you expect?")
+        with open(host_tmp_dir + "/" + handin_filename, 'r') as f:
+            print( f.read() )
+        print(" ")
+        print(tag, "If you cannot resolve the problem, please contact the teacher and include details such as this log, as well as the file you submitted.")
+
+    raise e
+
+if verbose:
+    print(tag, f"{token=}")
+    print(tag, results['total'])
+
+format_autolab_json(results)
\ No newline at end of file
diff --git a/examples/tmp/02105week2/src/driver_python.py-handout b/examples/tmp/02105week2/src/driver_python.py-handout
new file mode 100644
index 0000000000000000000000000000000000000000..4375e8e376e0cf02b727b6bf9138ebcde6dd42fb
--- /dev/null
+++ b/examples/tmp/02105week2/src/driver_python.py-handout
@@ -0,0 +1,92 @@
+import os
+import glob
+import shutil
+import sys
+import subprocess
+from unitgrade_private.autolab.autolab import format_autolab_json
+from unitgrade_private.docker_helpers import student_token_file_runner
+from unitgrade_private import load_token
+import time
+import unitgrade_private
+
+verbose = False
+tag = "[driver_python.py]"
+
+if not verbose:
+    print("="*10)
+    print(tag, "Starting unitgrade evaluation...")
+import unitgrade
+print(tag, "Unitgrade version", unitgrade.version.__version__)
+print(tag, "Unitgrade-devel version", unitgrade_private.version.__version__)
+
+
+sys.stderr = sys.stdout
+wdir = os.getcwd()
+
+def pfiles():
+    print("> Files in dir:")
+    for f in glob.glob(wdir + "/*"):
+        print(f)
+    print("---")
+
+handin_filename = "stones.py"
+student_token_file = 'StoneReport_handin.token'
+instructor_grade_script = 'stones_tests_grade.py'
+grade_file_relative_destination = "stones_tests_grade.py"
+host_tmp_dir = wdir + "/tmp"
+homework_file = "stones.py"
+# homework_file = "stones.py"
+student_should_upload_token = False # Add these from template.
+
+if not verbose:
+    pfiles()
+    print(f"{host_tmp_dir=}")
+    print(f"{student_token_file=}")
+    print(f"{instructor_grade_script=}")
+
+print("Current directory", os.getcwd())
+print("student_token_file", student_token_file)
+for f in glob.glob(os.getcwd() + "/*"):
+    print(f)
+try:
+    # This is how we get the student file structure.
+    command, host_tmp_dir, token = student_token_file_runner(host_tmp_dir, student_token_file, instructor_grade_script,
+                                                             grade_file_relative_destination)
+    # run the stuff.
+    if not student_should_upload_token:
+        """ Add the student homework to the right location. """
+        print("Moving uploaded file from", os.path.basename(handin_filename), "to", handin_filename)
+        # print("file exists?", os.path.isfile(os.path.basename(handin_filename)))
+        shutil.move(os.path.basename(handin_filename), host_tmp_dir + "/" + handin_filename)
+
+    command = f"cd tmp && {command} --noprogress --autolab"
+    def rcom(cm):
+        rs = subprocess.run(cm, capture_output=True, text=True, shell=True)
+        print(rs.stdout)
+        if len(rs.stderr) > 0:
+            print(tag, "There were errors in executing the file:")
+            print(rs.stderr)
+
+    start = time.time()
+    rcom(command)
+    ls = glob.glob(token)
+    f = ls[0]
+    results, _ = load_token(ls[0])
+
+except Exception as e:
+    if not student_should_upload_token:
+        print(tag, "A major error occured while starting unitgrade.")
+        print(tag, "This can mean the grader itself is badly configured, or (more likely) that you submitted a completely wrong file.")
+        print(tag, "The following is the content of the file you uploaded; is it what you expect?")
+        with open(host_tmp_dir + "/" + handin_filename, 'r') as f:
+            print( f.read() )
+        print(" ")
+        print(tag, "If you cannot resolve the problem, please contact the teacher and include details such as this log, as well as the file you submitted.")
+
+    raise e
+
+if verbose:
+    print(tag, f"{token=}")
+    print(tag, results['total'])
+
+format_autolab_json(results)
\ No newline at end of file
diff --git a/examples/tmp/02105week2/src/stones.py b/examples/tmp/02105week2/src/stones.py
new file mode 100644
index 0000000000000000000000000000000000000000..37becd782259655b9e8516a08abe63ab3d3f2183
--- /dev/null
+++ b/examples/tmp/02105week2/src/stones.py
@@ -0,0 +1,179 @@
+# This file contains your results. Do not edit its content. Simply upload it as it is.
+---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
+af74d9e2eea101854f07fd64951aafb1fbd062916c869b330e535271178c5ce49be3fc7eda177a383e7971a004abf73b787b543843a89e0b7959c0081a44e87a 31368
+---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
+./Td6WFoAAATm1rRGAgAhARYAAAB0L+Wj4IXZW6RdAEABDnroJ8N61cV3uyv9rA3VXYLFhUioEJM45nedEKdqnO19PvW/YXoHmDkQocrblVLERQOzdoe2zfnvVikcsMGzEktlVOe3W3XUOr+/vL7QSGinStr49f86RE5jY5bPLOoCeppsRkj
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\ No newline at end of file
diff --git a/examples/tmp/02105week2/src/stones_tests_grade.py b/examples/tmp/02105week2/src/stones_tests_grade.py
new file mode 100644
index 0000000000000000000000000000000000000000..d8065998b6dd1a1400ae7910febf59d4c6330f40
--- /dev/null
+++ b/examples/tmp/02105week2/src/stones_tests_grade.py
@@ -0,0 +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('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')))
\ No newline at end of file
diff --git a/examples/tmp/02105week2/writeup/writeup.html b/examples/tmp/02105week2/writeup/writeup.html
new file mode 100644
index 0000000000000000000000000000000000000000..08a6eeee8e4a05dcd058e6e03156862d1d5e01b4
--- /dev/null
+++ b/examples/tmp/02105week2/writeup/writeup.html
@@ -0,0 +1,5 @@
+
+    <html><body>
+    To hand in this assignment, upload the file <b>stones.py</b>
+    </body></html>    
+    
\ No newline at end of file
diff --git a/examples/autolab_token_upload/tmp/cs102/Makefile b/examples/tmp/c02105week2/Makefile
similarity index 60%
rename from examples/autolab_token_upload/tmp/cs102/Makefile
rename to examples/tmp/c02105week2/Makefile
index 8cef2a8073c6d0899af2d35f9d3e5546ef3c4e16..d6fd3f7dbfc705dbfd095fff519dd9dda7043a1c 100644
--- a/examples/autolab_token_upload/tmp/cs102/Makefile
+++ b/examples/tmp/c02105week2/Makefile
@@ -9,24 +9,26 @@ all: handout handout-tarfile
 
 handout: 
 	# Rebuild the handout directory that students download
-	(rm -rf cs102-handout; mkdir cs102-handout)
-	cp -p src/Makefile-handout cs102-handout/Makefile
-	cp -p src/README-handout cs102-handout/README
-	cp -p src/driver_python.py cs102-handout
+	(rm -rf c02105week2-handout; mkdir c02105week2-handout)
+	cp -p src/Makefile-handout c02105week2-handout/Makefile
+	cp -p src/README-handout c02105week2-handout/README
+	cp -p src/driver_python.py c02105week2-handout
 
-	cp -p src/student_sources.zip cs102-handout
+	cp -p src/stones.py c02105week2-handout
 
-	cp -p src/Report2_handin.token cs102-handout
+	cp -p src/docker_helpers.py c02105week2-handout
 
-	cp -p src/docker_helpers.py cs102-handout
+	cp -p src/stones_tests_grade.py c02105week2-handout
 
-	cp -p src/report2_grade.py cs102-handout
+	cp -p src/StoneReport_handin.token c02105week2-handout
 
 
 handout-tarfile: handout
 	# Build *-handout.tar and autograde.tar
-	tar cvf cs102-handout.tar cs102-handout
-	cp -p cs102-handout.tar autograde.tar
+	# tar cvf c02105week2-handout.tar c02105week2-handout
+	# cp -p c02105week2-handout.tar autograde.tar
+	tar cvf autograde.tar c02105week2-handout
+	# cp -p c02105week2-handout.tar autograde.tar
 
 clean:
 	# Clean the entire lab directory tree.  Note that you can run
@@ -35,7 +37,7 @@ clean:
 	rm -f *~ *.tar
 	(cd src; make clean)
 	(cd test-autograder; make clean)
-	rm -rf cs102-handout
+	rm -rf c02105week2-handout
 	rm -f autograde.tar
 #
 # CAREFULL!!! This will delete all student records in the logfile and
diff --git a/examples/tmp/c02105week2/autograde-Makefile b/examples/tmp/c02105week2/autograde-Makefile
new file mode 100644
index 0000000000000000000000000000000000000000..8225e82a17329397b97b543e785f96afd210562d
--- /dev/null
+++ b/examples/tmp/c02105week2/autograde-Makefile
@@ -0,0 +1,7 @@
+all:
+	tar xf autograde.tar
+	cp stones.py c02105week2-autograde
+	(cd c02105week2-autograde; python3 driver_python.py)
+
+clean:
+	rm -rf *~ c02105week2-autograde
\ No newline at end of file
diff --git a/examples/tmp/c02105week2/autograde.tar b/examples/tmp/c02105week2/autograde.tar
new file mode 100644
index 0000000000000000000000000000000000000000..29fdd8b20e48fda7c95a3cf1951e016a12f75ff2
Binary files /dev/null and b/examples/tmp/c02105week2/autograde.tar differ
diff --git a/examples/tmp/c02105week2/c02105week2-autograde/StoneReport_handin.token b/examples/tmp/c02105week2/c02105week2-autograde/StoneReport_handin.token
new file mode 100644
index 0000000000000000000000000000000000000000..1c26551ad5c5922abe94a92366ff57fab6e02a0d
--- /dev/null
+++ b/examples/tmp/c02105week2/c02105week2-autograde/StoneReport_handin.token
@@ -0,0 +1,179 @@
+# This file contains your results. Do not edit its content. Simply upload it as it is.
+---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
+a25de5bd88e7724c7197ef3883539818f395573b9efb020173d9faf25d354101a763145eda06ea65dea628cf5ade65e3b3441eff3f77034f8037a1bf86472831 31480
+---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
+./Td6WFoAAATm1rRGAgAhARYAAAB0L+Wj4Ia6W/VdAEABDnjpt8D61cV3uyv9rA3VXYLFhUioEJM5+SKjzt6rcQ+s48qDQQM/13A/bMR9L4AXPeCYh2E8i4X7CxDzPaLPadPOAQxC+rUfROKk4fCr4nSs9WCbxTnUW1p6v0n6vNbWHAiIrwj
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\ No newline at end of file
diff --git a/examples/tmp/c02105week2/c02105week2-autograde/autograde-Makefile b/examples/tmp/c02105week2/c02105week2-autograde/autograde-Makefile
new file mode 100644
index 0000000000000000000000000000000000000000..c5737b290bd8d79d61eefbb597c5f7edab2872fd
--- /dev/null
+++ b/examples/tmp/c02105week2/c02105week2-autograde/autograde-Makefile
@@ -0,0 +1,7 @@
+all:
+	tar xf autograde.tar
+	cp stones.py c02105week2-handout
+	(cd c02105week2-handout; python3 driver_python.py)
+
+clean:
+	rm -rf *~ c02105week2-handout
\ No newline at end of file
diff --git a/examples/tmp/c02105week2/c02105week2-autograde/driver_python.py b/examples/tmp/c02105week2/c02105week2-autograde/driver_python.py
new file mode 100644
index 0000000000000000000000000000000000000000..4375e8e376e0cf02b727b6bf9138ebcde6dd42fb
--- /dev/null
+++ b/examples/tmp/c02105week2/c02105week2-autograde/driver_python.py
@@ -0,0 +1,92 @@
+import os
+import glob
+import shutil
+import sys
+import subprocess
+from unitgrade_private.autolab.autolab import format_autolab_json
+from unitgrade_private.docker_helpers import student_token_file_runner
+from unitgrade_private import load_token
+import time
+import unitgrade_private
+
+verbose = False
+tag = "[driver_python.py]"
+
+if not verbose:
+    print("="*10)
+    print(tag, "Starting unitgrade evaluation...")
+import unitgrade
+print(tag, "Unitgrade version", unitgrade.version.__version__)
+print(tag, "Unitgrade-devel version", unitgrade_private.version.__version__)
+
+
+sys.stderr = sys.stdout
+wdir = os.getcwd()
+
+def pfiles():
+    print("> Files in dir:")
+    for f in glob.glob(wdir + "/*"):
+        print(f)
+    print("---")
+
+handin_filename = "stones.py"
+student_token_file = 'StoneReport_handin.token'
+instructor_grade_script = 'stones_tests_grade.py'
+grade_file_relative_destination = "stones_tests_grade.py"
+host_tmp_dir = wdir + "/tmp"
+homework_file = "stones.py"
+# homework_file = "stones.py"
+student_should_upload_token = False # Add these from template.
+
+if not verbose:
+    pfiles()
+    print(f"{host_tmp_dir=}")
+    print(f"{student_token_file=}")
+    print(f"{instructor_grade_script=}")
+
+print("Current directory", os.getcwd())
+print("student_token_file", student_token_file)
+for f in glob.glob(os.getcwd() + "/*"):
+    print(f)
+try:
+    # This is how we get the student file structure.
+    command, host_tmp_dir, token = student_token_file_runner(host_tmp_dir, student_token_file, instructor_grade_script,
+                                                             grade_file_relative_destination)
+    # run the stuff.
+    if not student_should_upload_token:
+        """ Add the student homework to the right location. """
+        print("Moving uploaded file from", os.path.basename(handin_filename), "to", handin_filename)
+        # print("file exists?", os.path.isfile(os.path.basename(handin_filename)))
+        shutil.move(os.path.basename(handin_filename), host_tmp_dir + "/" + handin_filename)
+
+    command = f"cd tmp && {command} --noprogress --autolab"
+    def rcom(cm):
+        rs = subprocess.run(cm, capture_output=True, text=True, shell=True)
+        print(rs.stdout)
+        if len(rs.stderr) > 0:
+            print(tag, "There were errors in executing the file:")
+            print(rs.stderr)
+
+    start = time.time()
+    rcom(command)
+    ls = glob.glob(token)
+    f = ls[0]
+    results, _ = load_token(ls[0])
+
+except Exception as e:
+    if not student_should_upload_token:
+        print(tag, "A major error occured while starting unitgrade.")
+        print(tag, "This can mean the grader itself is badly configured, or (more likely) that you submitted a completely wrong file.")
+        print(tag, "The following is the content of the file you uploaded; is it what you expect?")
+        with open(host_tmp_dir + "/" + handin_filename, 'r') as f:
+            print( f.read() )
+        print(" ")
+        print(tag, "If you cannot resolve the problem, please contact the teacher and include details such as this log, as well as the file you submitted.")
+
+    raise e
+
+if verbose:
+    print(tag, f"{token=}")
+    print(tag, results['total'])
+
+format_autolab_json(results)
\ No newline at end of file
diff --git a/examples/tmp/c02105week2/c02105week2-autograde/stones.py b/examples/tmp/c02105week2/c02105week2-autograde/stones.py
new file mode 100644
index 0000000000000000000000000000000000000000..96c9cf5eaeba7da59ecc9db55ada75b06cd093b0
--- /dev/null
+++ b/examples/tmp/c02105week2/c02105week2-autograde/stones.py
@@ -0,0 +1,15 @@
+def maximum_stones(W, stone_weights):
+    stone_weights.sort()
+    T = 0
+    s = 0
+    for k, we in enumerate(stone_weights):
+        T += we
+        if T <= W:
+            s = s + 1
+        else:
+            break
+    return s
+
+if __name__ == "__main__":
+    print("The following call using maximum weight of W=15 should return 5.")
+    print(maximum_stones(15, [2, 5, 3, 1, 8, 4, 5, 7]))
diff --git a/examples/tmp/c02105week2/c02105week2-autograde/stones_tests.py b/examples/tmp/c02105week2/c02105week2-autograde/stones_tests.py
new file mode 100644
index 0000000000000000000000000000000000000000..9f61cfd3822b0d2f526c318e6b380e8d0c5d6ef1
--- /dev/null
+++ b/examples/tmp/c02105week2/c02105week2-autograde/stones_tests.py
@@ -0,0 +1,44 @@
+from unitgrade.framework import Report, UTestCase
+from unitgrade.evaluate import evaluate_report_student
+import stones
+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
+
+
+class Stones(UTestCase):
+    """ Test of the Stones function """
+    def stest(self, W, stone_weights): # Helper function.
+        N = maximum_stones(W, stone_weights)
+        self.title = f"stones({W}, {trlist(stone_weights)}) = {N} ?"
+        self.assertEqualC(N)
+
+    def test_basecase(self):
+        """ Test the stones-example given in the homework """
+        N = maximum_stones(15, [2, 5, 3, 1, 8, 4, 5, 7])
+        self.assertEqual(N, 5) # Test that we can collect 5 stones.
+
+    def test_stones1(self):
+        self.stest(4, [4]) # One stone weighing 4 kg.
+
+    def test_stones2(self):
+        self.stest(4, [1, 4]) # should also give 1
+
+    def test_stones3(self):
+        self.stest(4, [4, 1]) # should also give 1
+
+    def test_stones4(self):
+        self.stest(13, [2, 5, 3, 1, 8, 4, 5, 7])
+
+class StoneReport(Report):
+    title = "02105 week 2: Stone collection"
+    questions = [(Stones, 10),]
+    pack_imports = [stones]
+
+if __name__ == "__main__":
+    evaluate_report_student(StoneReport())
diff --git a/examples/tmp/c02105week2/c02105week2-autograde/stones_tests_grade.py b/examples/tmp/c02105week2/c02105week2-autograde/stones_tests_grade.py
new file mode 100644
index 0000000000000000000000000000000000000000..ae4db7738c4548056b85259e6aff72659fbddcd1
--- /dev/null
+++ b/examples/tmp/c02105week2/c02105week2-autograde/stones_tests_grade.py
@@ -0,0 +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('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')))
\ No newline at end of file
diff --git a/examples/tmp/c02105week2/c02105week2-autograde/unitgrade_data/Stones.pkl b/examples/tmp/c02105week2/c02105week2-autograde/unitgrade_data/Stones.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..647d7d7625bb9ef7e33f76b04652a3356c14dde1
Binary files /dev/null and b/examples/tmp/c02105week2/c02105week2-autograde/unitgrade_data/Stones.pkl differ
diff --git a/examples/tmp/c02105week2/c02105week2-handout.zip b/examples/tmp/c02105week2/c02105week2-handout.zip
new file mode 100644
index 0000000000000000000000000000000000000000..9469d287beaa4f6efdb074939abf5fd45222e970
Binary files /dev/null and b/examples/tmp/c02105week2/c02105week2-handout.zip differ
diff --git a/examples/tmp/c02105week2/c02105week2-handout/stones.py b/examples/tmp/c02105week2/c02105week2-handout/stones.py
new file mode 100644
index 0000000000000000000000000000000000000000..96c9cf5eaeba7da59ecc9db55ada75b06cd093b0
--- /dev/null
+++ b/examples/tmp/c02105week2/c02105week2-handout/stones.py
@@ -0,0 +1,15 @@
+def maximum_stones(W, stone_weights):
+    stone_weights.sort()
+    T = 0
+    s = 0
+    for k, we in enumerate(stone_weights):
+        T += we
+        if T <= W:
+            s = s + 1
+        else:
+            break
+    return s
+
+if __name__ == "__main__":
+    print("The following call using maximum weight of W=15 should return 5.")
+    print(maximum_stones(15, [2, 5, 3, 1, 8, 4, 5, 7]))
diff --git a/examples/tmp/c02105week2/c02105week2-handout/stones_tests.py b/examples/tmp/c02105week2/c02105week2-handout/stones_tests.py
new file mode 100644
index 0000000000000000000000000000000000000000..9f61cfd3822b0d2f526c318e6b380e8d0c5d6ef1
--- /dev/null
+++ b/examples/tmp/c02105week2/c02105week2-handout/stones_tests.py
@@ -0,0 +1,44 @@
+from unitgrade.framework import Report, UTestCase
+from unitgrade.evaluate import evaluate_report_student
+import stones
+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
+
+
+class Stones(UTestCase):
+    """ Test of the Stones function """
+    def stest(self, W, stone_weights): # Helper function.
+        N = maximum_stones(W, stone_weights)
+        self.title = f"stones({W}, {trlist(stone_weights)}) = {N} ?"
+        self.assertEqualC(N)
+
+    def test_basecase(self):
+        """ Test the stones-example given in the homework """
+        N = maximum_stones(15, [2, 5, 3, 1, 8, 4, 5, 7])
+        self.assertEqual(N, 5) # Test that we can collect 5 stones.
+
+    def test_stones1(self):
+        self.stest(4, [4]) # One stone weighing 4 kg.
+
+    def test_stones2(self):
+        self.stest(4, [1, 4]) # should also give 1
+
+    def test_stones3(self):
+        self.stest(4, [4, 1]) # should also give 1
+
+    def test_stones4(self):
+        self.stest(13, [2, 5, 3, 1, 8, 4, 5, 7])
+
+class StoneReport(Report):
+    title = "02105 week 2: Stone collection"
+    questions = [(Stones, 10),]
+    pack_imports = [stones]
+
+if __name__ == "__main__":
+    evaluate_report_student(StoneReport())
diff --git a/examples/tmp/c02105week2/c02105week2-handout/unitgrade_data/Stones.pkl b/examples/tmp/c02105week2/c02105week2-handout/unitgrade_data/Stones.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..647d7d7625bb9ef7e33f76b04652a3356c14dde1
Binary files /dev/null and b/examples/tmp/c02105week2/c02105week2-handout/unitgrade_data/Stones.pkl differ
diff --git a/examples/autolab_token_upload/tmp/cs102/cs102.rb b/examples/tmp/c02105week2/c02105week2.rb
similarity index 70%
rename from examples/autolab_token_upload/tmp/cs102/cs102.rb
rename to examples/tmp/c02105week2/c02105week2.rb
index 3a1dd46f68cb737ffa08dce42724d9bb5eab82cb..8a4aac3f5cfc2b0c8ba22a6438bcc436410cec1b 100644
--- a/examples/autolab_token_upload/tmp/cs102/cs102.rb
+++ b/examples/tmp/c02105week2/c02105week2.rb
@@ -1,10 +1,10 @@
 require "AssessmentBase.rb"
 
-module Cs102
+module C02105week2
   include AssessmentBase
 
   def assessmentInitialize(course)
-    super("cs102",course)
+    super("c02105week2",course)
     @problems = []
   end
 
diff --git a/examples/tmp/c02105week2/c02105week2.yml b/examples/tmp/c02105week2/c02105week2.yml
new file mode 100644
index 0000000000000000000000000000000000000000..ce2923ef65625aed098f0376c378a7a506f7a343
--- /dev/null
+++ b/examples/tmp/c02105week2/c02105week2.yml
@@ -0,0 +1,38 @@
+---
+
+general:
+  name: c02105week2
+  description: ' Hand in the file stones.py. You can find the full example, including solution, at https://gitlab.compute.dtu.dk/tuhe/unitgrade_private/-/tree/master/examples/02105/instructor/week2 '
+  display_name: '02105 week 2: Stone collection'
+  handin_filename: stones.py
+  handin_directory: handin
+  max_grace_days: 0
+  handout: c02105week2-handout.zip
+  writeup: writeup/writeup.html
+  max_submissions: -1
+  disable_handins: false
+  max_size: 2
+  has_svn: false
+  category_name: Lab
+problems:
+
+  - name: Unitgrade score
+    description: 'Score obtained by automatic grading'
+    max_score: 10
+    optional: false
+
+  - name: Written feedback
+    description: 'Written (TA) feedback'
+    max_score: 0
+    optional: true
+
+autograder:
+  autograde_timeout: 180
+  autograde_image: tango_python_tue
+  release_score: true
+
+# problems:
+# - name: Correctness
+#  description: ''
+#  max_score: 100.0
+#  optional: false
\ No newline at end of file
diff --git a/examples/autolab_token_upload/tmp/cs102/cs102-handout/Makefile b/examples/tmp/c02105week2/src/Makefile
similarity index 100%
rename from examples/autolab_token_upload/tmp/cs102/cs102-handout/Makefile
rename to examples/tmp/c02105week2/src/Makefile
diff --git a/examples/autolab_token_upload/tmp/cs102/src/Makefile-handout b/examples/tmp/c02105week2/src/Makefile-handout
similarity index 100%
rename from examples/autolab_token_upload/tmp/cs102/src/Makefile-handout
rename to examples/tmp/c02105week2/src/Makefile-handout
diff --git a/examples/autolab_token_upload/tmp/cs102/cs102-handout/README b/examples/tmp/c02105week2/src/README
similarity index 100%
rename from examples/autolab_token_upload/tmp/cs102/cs102-handout/README
rename to examples/tmp/c02105week2/src/README
diff --git a/examples/autolab_token_upload/tmp/cs102/src/README-handout b/examples/tmp/c02105week2/src/README-handout
similarity index 100%
rename from examples/autolab_token_upload/tmp/cs102/src/README-handout
rename to examples/tmp/c02105week2/src/README-handout
diff --git a/examples/tmp/c02105week2/src/StoneReport_handin.token b/examples/tmp/c02105week2/src/StoneReport_handin.token
new file mode 100644
index 0000000000000000000000000000000000000000..1c26551ad5c5922abe94a92366ff57fab6e02a0d
--- /dev/null
+++ b/examples/tmp/c02105week2/src/StoneReport_handin.token
@@ -0,0 +1,179 @@
+# This file contains your results. Do not edit its content. Simply upload it as it is.
+---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
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+---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
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\ No newline at end of file
diff --git a/examples/autolab_token_upload/tmp/cs102/src/docker_helpers.py b/examples/tmp/c02105week2/src/docker_helpers.py
similarity index 97%
rename from examples/autolab_token_upload/tmp/cs102/src/docker_helpers.py
rename to examples/tmp/c02105week2/src/docker_helpers.py
index 38cf3134cc1b5b032dc1e9088a7025e824862dd1..0b82a931c0268a356ee54f777fbc7ed0ef095e3f 100644
--- a/examples/autolab_token_upload/tmp/cs102/src/docker_helpers.py
+++ b/examples/tmp/c02105week2/src/docker_helpers.py
@@ -33,12 +33,13 @@ def download_docker_images(destination=None):
                 shutil.copytree(tmp_dir, dest)
 
 
-def compile_docker_image(Dockerfile, tag=None):
+def compile_docker_image(Dockerfile, tag=None, no_cache=False):
     assert os.path.isfile(Dockerfile)
     base = os.path.dirname(Dockerfile)
     if tag == None:
         tag = os.path.basename(base)
-    os.system(f"cd {base} && docker build --tag {tag} .")
+    cmd = f"cd {base} && docker build {'--no-cache' if no_cache else ''} --tag {tag} ."
+    os.system(cmd)
     return tag
 
 
diff --git a/examples/autolab_token_upload/tmp/cs102/src/driver.sh b/examples/tmp/c02105week2/src/driver.sh
similarity index 100%
rename from examples/autolab_token_upload/tmp/cs102/src/driver.sh
rename to examples/tmp/c02105week2/src/driver.sh
diff --git a/examples/autolab_token_upload/tmp/cs102/src/driver.sh-handout b/examples/tmp/c02105week2/src/driver.sh-handout
similarity index 100%
rename from examples/autolab_token_upload/tmp/cs102/src/driver.sh-handout
rename to examples/tmp/c02105week2/src/driver.sh-handout
diff --git a/examples/tmp/c02105week2/src/driver_python.py b/examples/tmp/c02105week2/src/driver_python.py
new file mode 100644
index 0000000000000000000000000000000000000000..4375e8e376e0cf02b727b6bf9138ebcde6dd42fb
--- /dev/null
+++ b/examples/tmp/c02105week2/src/driver_python.py
@@ -0,0 +1,92 @@
+import os
+import glob
+import shutil
+import sys
+import subprocess
+from unitgrade_private.autolab.autolab import format_autolab_json
+from unitgrade_private.docker_helpers import student_token_file_runner
+from unitgrade_private import load_token
+import time
+import unitgrade_private
+
+verbose = False
+tag = "[driver_python.py]"
+
+if not verbose:
+    print("="*10)
+    print(tag, "Starting unitgrade evaluation...")
+import unitgrade
+print(tag, "Unitgrade version", unitgrade.version.__version__)
+print(tag, "Unitgrade-devel version", unitgrade_private.version.__version__)
+
+
+sys.stderr = sys.stdout
+wdir = os.getcwd()
+
+def pfiles():
+    print("> Files in dir:")
+    for f in glob.glob(wdir + "/*"):
+        print(f)
+    print("---")
+
+handin_filename = "stones.py"
+student_token_file = 'StoneReport_handin.token'
+instructor_grade_script = 'stones_tests_grade.py'
+grade_file_relative_destination = "stones_tests_grade.py"
+host_tmp_dir = wdir + "/tmp"
+homework_file = "stones.py"
+# homework_file = "stones.py"
+student_should_upload_token = False # Add these from template.
+
+if not verbose:
+    pfiles()
+    print(f"{host_tmp_dir=}")
+    print(f"{student_token_file=}")
+    print(f"{instructor_grade_script=}")
+
+print("Current directory", os.getcwd())
+print("student_token_file", student_token_file)
+for f in glob.glob(os.getcwd() + "/*"):
+    print(f)
+try:
+    # This is how we get the student file structure.
+    command, host_tmp_dir, token = student_token_file_runner(host_tmp_dir, student_token_file, instructor_grade_script,
+                                                             grade_file_relative_destination)
+    # run the stuff.
+    if not student_should_upload_token:
+        """ Add the student homework to the right location. """
+        print("Moving uploaded file from", os.path.basename(handin_filename), "to", handin_filename)
+        # print("file exists?", os.path.isfile(os.path.basename(handin_filename)))
+        shutil.move(os.path.basename(handin_filename), host_tmp_dir + "/" + handin_filename)
+
+    command = f"cd tmp && {command} --noprogress --autolab"
+    def rcom(cm):
+        rs = subprocess.run(cm, capture_output=True, text=True, shell=True)
+        print(rs.stdout)
+        if len(rs.stderr) > 0:
+            print(tag, "There were errors in executing the file:")
+            print(rs.stderr)
+
+    start = time.time()
+    rcom(command)
+    ls = glob.glob(token)
+    f = ls[0]
+    results, _ = load_token(ls[0])
+
+except Exception as e:
+    if not student_should_upload_token:
+        print(tag, "A major error occured while starting unitgrade.")
+        print(tag, "This can mean the grader itself is badly configured, or (more likely) that you submitted a completely wrong file.")
+        print(tag, "The following is the content of the file you uploaded; is it what you expect?")
+        with open(host_tmp_dir + "/" + handin_filename, 'r') as f:
+            print( f.read() )
+        print(" ")
+        print(tag, "If you cannot resolve the problem, please contact the teacher and include details such as this log, as well as the file you submitted.")
+
+    raise e
+
+if verbose:
+    print(tag, f"{token=}")
+    print(tag, results['total'])
+
+format_autolab_json(results)
\ No newline at end of file
diff --git a/examples/tmp/c02105week2/src/driver_python.py-handout b/examples/tmp/c02105week2/src/driver_python.py-handout
new file mode 100644
index 0000000000000000000000000000000000000000..4375e8e376e0cf02b727b6bf9138ebcde6dd42fb
--- /dev/null
+++ b/examples/tmp/c02105week2/src/driver_python.py-handout
@@ -0,0 +1,92 @@
+import os
+import glob
+import shutil
+import sys
+import subprocess
+from unitgrade_private.autolab.autolab import format_autolab_json
+from unitgrade_private.docker_helpers import student_token_file_runner
+from unitgrade_private import load_token
+import time
+import unitgrade_private
+
+verbose = False
+tag = "[driver_python.py]"
+
+if not verbose:
+    print("="*10)
+    print(tag, "Starting unitgrade evaluation...")
+import unitgrade
+print(tag, "Unitgrade version", unitgrade.version.__version__)
+print(tag, "Unitgrade-devel version", unitgrade_private.version.__version__)
+
+
+sys.stderr = sys.stdout
+wdir = os.getcwd()
+
+def pfiles():
+    print("> Files in dir:")
+    for f in glob.glob(wdir + "/*"):
+        print(f)
+    print("---")
+
+handin_filename = "stones.py"
+student_token_file = 'StoneReport_handin.token'
+instructor_grade_script = 'stones_tests_grade.py'
+grade_file_relative_destination = "stones_tests_grade.py"
+host_tmp_dir = wdir + "/tmp"
+homework_file = "stones.py"
+# homework_file = "stones.py"
+student_should_upload_token = False # Add these from template.
+
+if not verbose:
+    pfiles()
+    print(f"{host_tmp_dir=}")
+    print(f"{student_token_file=}")
+    print(f"{instructor_grade_script=}")
+
+print("Current directory", os.getcwd())
+print("student_token_file", student_token_file)
+for f in glob.glob(os.getcwd() + "/*"):
+    print(f)
+try:
+    # This is how we get the student file structure.
+    command, host_tmp_dir, token = student_token_file_runner(host_tmp_dir, student_token_file, instructor_grade_script,
+                                                             grade_file_relative_destination)
+    # run the stuff.
+    if not student_should_upload_token:
+        """ Add the student homework to the right location. """
+        print("Moving uploaded file from", os.path.basename(handin_filename), "to", handin_filename)
+        # print("file exists?", os.path.isfile(os.path.basename(handin_filename)))
+        shutil.move(os.path.basename(handin_filename), host_tmp_dir + "/" + handin_filename)
+
+    command = f"cd tmp && {command} --noprogress --autolab"
+    def rcom(cm):
+        rs = subprocess.run(cm, capture_output=True, text=True, shell=True)
+        print(rs.stdout)
+        if len(rs.stderr) > 0:
+            print(tag, "There were errors in executing the file:")
+            print(rs.stderr)
+
+    start = time.time()
+    rcom(command)
+    ls = glob.glob(token)
+    f = ls[0]
+    results, _ = load_token(ls[0])
+
+except Exception as e:
+    if not student_should_upload_token:
+        print(tag, "A major error occured while starting unitgrade.")
+        print(tag, "This can mean the grader itself is badly configured, or (more likely) that you submitted a completely wrong file.")
+        print(tag, "The following is the content of the file you uploaded; is it what you expect?")
+        with open(host_tmp_dir + "/" + handin_filename, 'r') as f:
+            print( f.read() )
+        print(" ")
+        print(tag, "If you cannot resolve the problem, please contact the teacher and include details such as this log, as well as the file you submitted.")
+
+    raise e
+
+if verbose:
+    print(tag, f"{token=}")
+    print(tag, results['total'])
+
+format_autolab_json(results)
\ No newline at end of file
diff --git a/examples/tmp/c02105week2/src/stones.py b/examples/tmp/c02105week2/src/stones.py
new file mode 100644
index 0000000000000000000000000000000000000000..1c26551ad5c5922abe94a92366ff57fab6e02a0d
--- /dev/null
+++ b/examples/tmp/c02105week2/src/stones.py
@@ -0,0 +1,179 @@
+# This file contains your results. Do not edit its content. Simply upload it as it is.
+---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
+a25de5bd88e7724c7197ef3883539818f395573b9efb020173d9faf25d354101a763145eda06ea65dea628cf5ade65e3b3441eff3f77034f8037a1bf86472831 31480
+---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
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\ No newline at end of file
diff --git a/examples/tmp/c02105week2/src/stones_tests_grade.py b/examples/tmp/c02105week2/src/stones_tests_grade.py
new file mode 100644
index 0000000000000000000000000000000000000000..ae4db7738c4548056b85259e6aff72659fbddcd1
--- /dev/null
+++ b/examples/tmp/c02105week2/src/stones_tests_grade.py
@@ -0,0 +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('QlpoOTFBWSZTWfSluKQAXD7/gH72xFZ7/////+///v////5gbR73vV696+1z58a0DUp5Pdl6aqgoVobRhJS97uEb26KqUgffe56OKG7XfcdtrzQ167YVCkKWtpvvruKUK1vZnu+988vjr73F9993e+5ngPUgV9O+u+++pdeclevs22+Q+dvqjvveDdndjmtO3pdsp88vWhR3aqObZNGkV7F73HW9WUVO4fdvTTU+698AFH0Ovvt9G4Pu84d7dt99iPqyggun33rex3tLaNlevb6+8J9nlwgB33Pfe+Xgst33hFxA7Cle7Y2EZMa91Bps52qavrT2rerT213W4+Vivr3vXXYMpXffTrvsD6as8tnna5PbgO0cHeqMRV7ffPuO9rx3vd41jdjJdhttfQbJnqEpoggAICAgTJiYRqZqaaU08p+hCaabKDT0mjTRptI9IwlNAhBBCaGk01NoAQo/Sn6pp6nqeUwQPUNDTQ9Ro0ANDQEpiREaEieU8inhHpAMk0bQmjGkDQaANNNA0AaGhoJNJEQieoaTCAIyn6mKQ/Km0jQb1R6INpGhtJ5TRkGIMmRhEkQg0E0NAaJMCYmU8gVPZT1D0mKeU/SeoynpqMRptJ6gaAJNREmhMphpMqfkAZRT9CaeiNGJA0aA0aGjTT0QAADnQ/EgB6/VJQIie6Cqj6WCsCArCkn0KLFVF/Vf//4vmwu6hpr/7/mzCP9CWHxq9+yPgsyfN8r+QVjExcP8Ta9+bh2P7QsVriwnaWhMkJk3f+fXE/0KxeTjrjL44mm60peEx/ZdsQZaGqIsznhrbV5lJdhXpw32OO9MSC0tPb+bJHN6gZbu6EtIn1Rid+7s0qFKLXqRqHOUXIchk5S0nMrj84P4nzJTj7v8b8kCX/nm+m09uU4in/Kqupd0uy/Wt518uWCh58e507jDDAx/5xd+RTAqinJBA9rEWQJFJEkCEGQZFkUIB/hJKKikEFX/UkwCSEz/SCUiIxIArIIKYYRJtMbRUJW7vravFrsTMfbWGyuo57m0nem8ndSBUoFWCQVZZGiqgop+DCwYioCqQVBkRVSC3VEj/py/58m14Q59u6H8PlFc9j/vH9KxjCbTmfP+mYJTtaBQw6tRtkJ7vCwuCIgOxgeInmqybevnE8LGSIpSQ7IdIdsQw46Sttyp0ItZVRHaBVVnXciAQr5udG9clBTg/TfZl79MaXimISLR0K7ffcgkPe0gXGsSLH3P8DcmTFNjsNfxXG1hbwz/RhH9N///9VZ9dvfHHYceOPfJrccJh0bRUb9j4pFf4TZp/zZxSnSxG+1+EoTHvR7U/P4I7/a6/i7eCLxmL7S06Hsg99e2D7Iq8B+fMzqvoz6vvX5PXfEiN1upBGRDpvw+yDipxmP6t4gTP8LsrrVI+t3qzh9eDePIRJrwkH0/QJoxPdM63vb6xswYJFICJxnX6Cgj0WIt4vazSsezLGQO6XsU5ym1ZW9JEK9MTTFfpl8OfCLS/U6yaPl5vLnNJoaj+Kl7IZ5M/r8e1mhl5vhbr5vZUi/+OHnheceHTtPi6VzJ1EZ8JbeD2rii01sRbm5rFIwrBiE3cOSGpT2wURTLYnAqk66TYrdgUzm3yXtMH09nWwx2uz12KdbtMJFHcnKNMn/w7SLMp2zkaCXHhhXPB442SnWOq9uM6UsezFqXD38c5cKy/vJthyT8CeuW3HDI0Lu+WShVRFx39rwc37L1fnRtnt9Muvmt+fhozKr4Woz3qyFzFQpc5bExv3y7uZSaNS1+21T4UHplBSmJZWZlld1vKo2xDHGm23khvPUQtJGn3zEdELq8YNWTMmFxKcmmeq8Hn5pjddvJ+ZbSUJ3fKuNkheWzbXlNh8J4JiZyRHe8ixBosUCl5hXS4BJ+gS859H3ec9Ft3L8UKLXfRMBJ949JCIJBOthxzuB1GaI0zSmj8qaENa+v7Me/RUIZ31yuaCRe+7/rYAp4xEiNvaeY478bBFe/OXAuNzMcBGytGUmmKReDtNoeF0ca0R9ByFcobYOYaTMkQkajdUbXgS1uaJNC+6IIHQJJCEL8EdF6h511bhmzPPXq75Ge6zsOhK8xDJzhHZ59Lg4APoSfRyK8ukIUIB4M4s4oT4fC/fN0I3KG6GNefOHyXe04Z2a3LBZWzYLWdw0gh3ak3zg9+EPj7bjHLjqAzGMV7kFw2pwsQ0+m99WbWmRkwJ3BEOVE7HFOf8SmPh61rRuFzj9tQg+urt6SOVkjez+2ZITfxBawYMWNgPq2pMSWHjo2mLp/96XDQ7YqoRkR7pA47AIqmcRuMvtlLYpM6Z23p+bbUGRiX5WK+IzofVdBvUwwLxJ8RNa147qfk3ujJmrbmPa+frpPy5lAjeHBUe9SDxGGlx2Em3INu/Z+c41OnIW/LbFG53K4nrYSytg9lvvxwpS1WmYmshMXDl66Zt0jSQ60sMr536TbQPN20Bv06M+Ioo1LrptO9Fi23cEe/oZLFPFNfpcpw3QlWM7fnWSZEsb4apxTm/N7DEJZHTT34+GYOXLFH8q75F9exrWeCBzBh/PiOJvv5sbq21644GaaU7hG5f9DlSCXTEj+24yQqy3lG+PLV5B0x0kcNs5yt4PbDlmEvRg7fnXpLv7MpY77iqCOuza4K+NANtTVT5tl89P61BCt9Q7eT7ROJFxaNqZYM28lkEGNWJEB3k2NYC2e5xcTeBgWRqRjbGDZfFM8riyxnaDm44JmtLWYMYnkUqUtLssstZlfL4706+Bu3AvfoLNgq+twU+sUp6sIswUaKYO8m5DSFo73H1kYKL3E1rnGrB2+M+EeOj52lj1fM6HJ1SB2hy5lidNz7DfjEwVKK0um0o5GOfLSD/VqGN9jJXUHH8hQjDYfccFKs4LLW40pgJCQrcsnca9D20aguwsy6dGzLi3Oqv4F869XiwoSllriWF52Pz88bpIZkJIOU157p9D2SyLwZfi/NtIL7L+fhfaXdlKoz9E9DTwffK9i3RXMpnwkxgjJ9e7ly4xSQi2vYFyMO8VimOrZbOVhd4g44aos6yihdeHNoK0ndK0Joq++f586V2uuINF7IkJulK0ab44PpObFxwH3t8YOVmRrkYdGq7LYi/3SJlM/Ep+aUinXW7ySRmaE0bzD5teUPw7tctBzQMxfAzMbMSrUTLKyRdrr+BvWRcRSoqzdbwU6+Esra3XEPVC7SApvcEjqU1QcWeNA7b2HU6b76xspmYmaJh7WxunshprS16IpgFExs58GlLDVcPckkmnTyx5xObc3dw68ZQWCUG1FHkw6Cmx40VPx0edSsPcOZzLdDKD8nFViaMatjR+zGSjz+fGdMXDezZRvJmY+ioCvv+3fKd35+6+VnRGk2yYdRX89uiQLa0lKoW+CsferNf3konsXOao+ghn397x67MzW+ZvgaU0c+p5WV3fS+XcOZGgpGL+OV+dk5VzbStGf7ppkUJOKY2OE3jc63F5XaKyjS0yz7YLvb1377kjGwzB+qy2ORwIk3YyZsozLXbsucYpYvyFX+eD5X8zmIwbNtcxGXpUHpivw6mc36Xh14d+g4Z56YNjR0xn20dRhuU7HlPR5oscmT9ZOC7LIB3LapkWEpyJDiEIHTMuCejUvCuWZzLHOKbZd6Htmxu2s92bVds9sc8u98Y4l5TbHfFmlnM737SucUVCpc1DExBDu0yd1XbL5I77+7idx2Zk0nrDk/X6O07fD1n06IKPmbnNJWpnMZKSHSFJgggJTjXhPiRyJ7zv44F9siYVDS58R2DGtxW4uJLeHMVaKL5ncRDKS/JzE6KIY9Af5CP3LCabjB59TsaDfDH5AoooqPx0lEESNslRTQmGFiCxRpqLfL4OfXau7l1WGzQNHa8HxCaG73C4ICfExHXhtdKxm2xMiRqCqrmnYXSssOkOGp6nY4MhCFnYvdtlsQLEclVwH4FNita4aoZu+aHJOeNLnMNsk9pevTE+KyZumZzQOzO43igq/JxzY30QFdlBFt4kBZouCLvd267KHYos9aSZqs3ofJ2s1sNt+g51Tvfp1PsQQWjixxnPhMbOjsLs0xwdF4rdu02M7GEnZHC15ahvD26NtwNsyurmjWFWlVS2dJTmknvsbXTMnvhQi7rDZ8Lw3C7O4rlIkwcEfEx9RXQvocuHBuHBRaMpwvYVcjinHXRie6s6TFTNdlzmTpEtCMF6XYrSh35vSWFhYoRLKJIUr5pb3kNMkIoQ7xvpdVOg4KisIjPV7MqX2DmJn3NjPnoHrWRGBaQJN1wpcqX6P5mNo67t+JnRONOeZi9C6VCtz0Ssoa0KI3d2Lk4u3rXvnfIprlM1f523V78ueOGPadMhq2WkGWGcpU0vvNLBBXfCbTZDCC3aFwukO6lE8Sb/BX9ED4b4jyXY7TQXBBrtLEwi01vKyS6qOBON2iNbhkRvk+xy93sFsH2/RxOlHCndoHa190te6LhRdyVESutZRbtFpSTcTFyLH0Cjl+2mr3XWHYQOUb4kjZnlr687+Vc8YxlynGVgT2q1LcY90rKmcEG8tWq4mQ0uHKzIo9Kb+E4JQw4cwYhG3ZpvGAw3Jtc7eLv2VvXl2zppxck8u8vrTtvFBj5cWUjJyxkyeXUP4vceBDox2IkDvW4dINC6UHVFgTYk77PUsKQinA3vFrEeqL1xGtm4OrXvnw73i8699NlqKc5MN0mm54smeGTSy8RHA53ffDK+z8E6PDntnHAyt4g51Z8RxrsLFQkxxPdMu5veguOkQgtLSqVPz6S5HfaGTcXL/S+9jssPXHoUHXSzlvci6sKt2MyuN9OucezS+ikZO/apr+DtKH4QmhbGWzGzmbeaZXZ5nbK+7wZzJUrcYlkifA4lQmIQEBRnL3FfXgKAtZHwOntxPU5M7jYe36jJi/KbAcOs/5FPg7+YG+/8JFfRjXh3eFduO8RRFi9h9WY7Ahy8chQuYjuBH5kExHvcoxdC6D40dWZDzZbc9HMXdVzoh2F9aEKn+38CR/Ees2Ho3wxROH844+XBaMVoNi0+a2dgYxgNCFVJUXxjOathhM6PTm6vPfgv7WYpe96ji7xCrzkdtnM9RV1inkXan4D22Ux/6uqzvb53d8eyeKw011lOW+77rBHgqzumo/TPes5q7f43eW22zC3l574lXfpg8TJRdHltrwfWs6Wen2477a6Xvflb1vzxhMhcLrTOC30Mj3g4ONvIdvBGIYBfezYzOyPEU+Q6+zhKTi9Mp+MrpvdgGWxIgOn4z819v3Xx2dv0ZXk1T45Yz7a7qPftUcc1tedOeHfPHPm++NUzTd8Hs7Guv4qBKHHDLien2KMWQu4mgSdcusfRn2rsJWRGQrUORqAZEFKj0pG2VgfX/BZNa/eMlzk5NELbMIrFS2Z272p9KV7+b9vOKGkuE+ceSz1rrzev36899vqfDBGStXX+79mxl344tk6OhAWed86GZTBwFfhLYIqs06MrG7KGIxNOaJKaB0lbomCdz9KfxIVgfkefpl0u5SKT9AUNb0izhMeGa3Zpf1b51Jvm3Lpx1lRDhWKsVHb+z0uaFLelHVikTu5i2lKIn4iISPxvBN3DwbSU6MXuH52NZvUmKNyml/Jg0t25JgebTxebHNZluzkdYXmcLvMMnbry6/Sm+CqaHEWtfiD23g40M+XFUxdQHeGfAel8NZIYHR7xkdHX4fM9T4gPHD1Cn7PplQZjZAPMzhhqiEgYeLvmhPIYObYfFj5TadXyeO1EVVVWIHOhDdu27Up38cKieQyjIsVVWQ3zYByhzzvEM8/pcwNCz3qikFD8kZK9lSsxtpUbZVtjEKsZJVZKyrEAqChV9DZCSUCQcNT1t5InQaujgSlRvCShor4vxBsMQDDJl52TIMhlJEVikRkmhDvbHUppOPQN0hWab0ucF6jIbZfNvqUQx9+dnpj45y84cv5sbYpTEPJblGjQ3nsmsNVl3S2lUMvsSkWCzV6p4Bvpblg0ndlj9KY/FOqdPRqHzy6qVMxWz8KFtVwUW+MK/B5MF3M/3ZcxnMMlGckMsoi1VOtVcEw8bmbaSzbfLu1g+vRkXRNG6XfRKh8HD83b3GO1pJmOp06jiKApkNaSL/E0izftZFmD5giW3EHhvg0ZHw1WO73RSg4jD4iXEqg9ZYIk8Jm8oZNUwM5DmEZpDes2lYlLDh5GJWVIYF0NnI7BYh3mQ2h3dtpdPkzeh6z39Lgk6bmFTqdZ3S5xhgYc5GkOzzu6EW0ml0BJfXAOFHRmRmHEP0bLtn+BrKOXSLq/cU9MULd3oV9U8Vu1l4UY1NepoWmFgrDAgqS/UI4DdkL5/B2XzGSsuB1y26olhCGeRS2f79hLEwZzEoejOSJuktx5w3rR3K7heokaCMzsLObX3ljuz5Ww0kS5RCk5er4o/9Ph9/7JHcZLxRZAnPydvHbrZ06PkhOaiipjeWem8l3gtMX4Vmmx7E35HdNOKkQ+cRKCfopz48CdqhX6THVa640W01uqKByNXHGC65IHyXQsdagRB6EFegvfpteV00jptPo+8clkdEPrBr+H0/LqjveOvSi7d/9Ccq5ZV43T8JOS0rF7vzXn9TlXx8l3lp08lIFovCH5SfslMrXrXZWsR89klFJ18HuhTChfyv9mpzv+uOH0bx3ydML5E6JB+OT812x5IWmUfz40kfJnjlhb4Wlyr5MLoeZYxzIfipFkUcL3pTWkFO9zsTdFxh7EZd2t5ljrzeHSsQ6YKI+Qslm624h55XE/OvOuRhPAfu+HNhyssmXSXZZs1Sm6IeV5ItKcpWQ+TweZ/HF6dYh0Qt5fjuoNKeiMmYgK+Wn54p+z0vuWtphIVPK+Sv1d+eWutlrWK/U8JGoYlakkbpJiEnHZwgl9MtM6RVnTuOY2QeBMiUbT8LHqGzCDY4cSG8e7kBBqMJop2OdvVo68UKy8u8JUj4aS+nEn0p/Y68O8a43uW3LztO6Kf0ejl942t5w88/PPuofm35HvrM2jZXxQoYiHZJDuinJmcSNHih5EM7kRwZmuUu0a2pypXt2uMLDzEYqFDtHuVWVwsytk2aH8MClt2DMggyOpGGM0Xf7etJ3U4yNc+uMnWVVbu+bf+iMHsza9JdL4vnEpLDnroin399yTXX1fZiMbBWMysrS+W37j5xlxzXrrsqKSn7XIWlzGnulZPejlOyyG8Vndyg64NuvFcbh0jOpt6dMayrLgnsaudHe3kO3rrdq+U38baW2cOR9m++ocnvy2luhqvCeFl21Z3ripeR58vT4xpln32E4y14lSdirhJyconZOUw/zRMrpUrwffe+nEfVNnq07A4q+r2xXKuyuZ9Z45yt8c1ecyFcrx2bO+os9L59FG0QT9PhPNfd4aTgr8lxdezwr2Zek6tP/N7tyOr9hHE4eNb7Xd/KiIxE1M0iE7eGJij1+/Em9/DG/R7ztFaqexEv79OZQKq87uyhK9FEoh3SEgi/u7oKH082477UvyCWrsxBfgfUXB9vr0ZJUDSQMB0QkJdGoZ9lgHYyajBZsEIjA7ebPpx0erZei+N4LDZ157ef5PNA1I8bkP15jrhclQDV21Fi9mvhe+UHHT5dHPjJFrbn5J93A+RYwQQ5nLrii0kx9W/rbK2E3WVz5lmHP4vgvef0Fvo4FT+6hM7teKx/yfaXG63Vzide9vai5Pdhux0UPTjp48FddPsV1vvhp0eY2F8elET41AlLjUpLvCfuuCmuRkT7rK/K2zOb4sYLrk5jZUsryPhpZKuMlEMtyWKU1+fud7vzd0I046ddOXJNnn5u7GZG6EsYu6ktokpA47Cnx78sMcaiHsg64Z+WRhdOA5J/M/uizC/HDGwp5ErDlYnM86Z9KnAEXWPhUdjKdDkJ6cw9bPRMngaaor1c8yT6YDn11yu1t+h8MNLoLOW4YE89KlS9ZXOS0ghqSSiHI/iaOKtlCCTIHTJhry+yFa4jXss3Xd31L7B+cc2wkWEsJnhZOnwzsxT3aUPBq4Wl1XH4czGU7rt/L2qu07u227DSfj0+Y6Ctvm2e+8du9F5hrfSZvxw1xWPNm7Z3dbr8siLCy0ktyuDPhLSgkfyjr8z+rTB15y1Z4IDg9mdEifwKNJuXVHjfItRrVwuQ0Iubuzs4E3spw176NgbcIerm9aeuAH+G0sRPbejMogNfYyflunTiHyEVCTYHIm35ryTcuMFN7vWdCtwHTpfcFqO+g25OQaEa3Of3lfuelMTySOOJ335mfnIv6trxnKFTuuYw64jshanuw2vxYart1w5RLRtzh6eMUrNpoNKEP5Yv3a8oek9Y+KKJhy4xPsOb8sqhIf0t7PUJDufZ8AxPpOnDMNRG4gbdDQwoBqu3BtEGJeiBUk/m8eKn2eT+2sfYnn5MmjCdXBd8VdafOaMIzrE418M8/fet254xWON+OfDE4fp8xKSBH3JxkiqsCjJqjtJ5NwaS/cZfi5IGJMYKRMhosF6utQcIkRNCcZTU9WKIToioNs8C2gmJMSGHNsQ54ULOGTi2GkZi0cooE0hyD0ZtUqARqNYfMEDkAWMxwS6/ANL2DkXMdcVkR6NZWOOsoLYpncsljK5c/h5/NuNGwX9wU5gel3FHdnkXHEKGqIRDiPfEfKbJsPqTJzbtU2jIIYyfVnAycu8clo7A03mwx1m6y5OT5IYDmgbD4ZySTIJMCu0zm25892zA06mTMqZkabQJ3RaOwuHuOQfIW14dIEJB8DRoPddjJuzOeDchuzMxTB33tIEKDg7MIpCTH197ZZktwJPDQ5pKUDodA37jxafFj2ovZjOdg9bPm3dJfGuXrnVUZJgVQp9jnacx9WQgsc7OKi1EpOdvTCDhC8cMM0hdP+UNZ8t/l33I5ez5DL53MannhAkIWhmV3BVk6aMykYHXVyoBDL1ZpYnL6xPDtrGYNa8jGGSynmBMnTvmmgMQcCcBDIRt2Oe7I4eAHk1OB3aBTI+IxgHed2oCgHB+LUuKBAcXGgHu7Wske7L4BbYWBB5g2aA/QFvELmb5NyX9h+Xmukz/evGz8B5wOmpO37WJRmisM1UQZE19nNub+88g+uiFRJv3erdN2vPFYqIijFFiB4ddeMOL2hvgOQMdNtUuTUaHfvhudOVCfeTHeUBp+wrGtEX+eMiORMMxoD6PTwPyD+H6s/D6cvTtHjV3VTB9b3l/TCxiK6Fl6oRr6+H29zeVF30b5245ToGbvLUESKIvVVBjG5TIgqM/fp8JBOEsZwezponJ6SNlhu2sPJ2SNjkVkkylcOQJDJpMwYmxYcA1+jhfgp8e0/Vs03Nl+Fe42E1YdtSIY9/McN27fHUNnb6fCdosniFz6bDxOZb7+/vfMKIeeqFRiiqMfDvNMBhGRX2rdhrzCcQvTo7+3iJhIN3CXHn4N4ifJvFuVgNp5M3NeZvKGq/A8ApcEjQ8FfvELVOY+0NLiLM4uO2kUnz1EoseygqaXhb/m2b2NNcGuHmDTzuRvWJclcQjaHcfWsxNap1msyTiM4w5WbDLJBpJkhO7p4mRaznV5qBXmYiMikeXMIhkJsENmlE1eU9VOdoIwjOFOs7YkxV4mqRMVqE4ni2qcuobEPMmNozp7wigvCiITGI0oV1iHhTepHWZAJVOjOZu86WL08YnVS+XlXcaNXGlZdvUvGS7y8VJhPSm449Xmy8QoMjILs8bc97SG+OGdiBVRRgoonRqYQ1ZbDx1pERFEkyOJYqJHZghma+eozyBkTMGLnbO466BoNB8u8YdvOXc6nVoiCgwVRRWfH1uPy0oIndCHZGHNnh3dQ79Z5JvpQ5PPzj3xFzedLPF3Rw896pF59OZw9TjJKy75NVl9QbXzvWEh0SoV3q+tEovVWiTalG+sKJh2sSTJvcxO9JJVBWsyklb5KgdZ9gdMlUs42nFWo1SjGcl1uVOzBTNp48GWbDMcQ8Z3mG32W8sYtyqzzrWtQjjrsXi2tJJLb/D/wEpY4EAgNOXnAAaJhc44MVvenvl4ZjahjGseLXn1enWtcyMijOH57WdWpomupvx5DfMEdEamNeAWVXNjHRd0DR235MGi66m2kN6yDJv0/ZoRNrBx5FDUHXlBjAdtqSEkLbUzMN/nQphAgTT3B82OeSz1GdmhX7QsNxm2bQyB9n37BTDUmK44zW4pLbSYq7saRvEOnX5A6fuXySR9T/rj7bZbfke1H+P5X9tuCpJPVffH2xcU/KoGw7ETay8tXXijANhnhREj6QyP27DyH4fP6z23Xc8m5j9k+StbPOG/9o/1ikIbpE4FEncSfVN4aSm6/gH/oNHzj6SJkJHzGnqRO6L2RdcXo26SxXjT3p59mvnx9rUrbqXc9LJMNsVURX08Eve4tMOQedYBiB8SQ7YVR6W1L3rbFONZPxT81TuhTHZ8acsh0ySNeWFB+xF8JwwjwS7kZpKJVrU9XGOW6mebtm+Xc3fQw0OtjXh3SU8/ZiS9Y+mdTVXu92T3jtI9GMY+lT+m/n/vav1/nvK6VMTsmJ4mFcvHI55+/+FH8gIS5R6rNllvD7Bfm/DFCKEfwsRrIskqv5iywP43RqyDcC9CyKjIjUFvCREqJIiSI40AFIQqChjAxARFhAwQZmgUQ6eQQA0JgPAsvDzedJpCbP8tK061M07YOR0eozRddY0hMUMtTvr5bVZfpW+ZrBmwzYdPxW52XKdGwj50RJ5R86jmKUyU5EvLVguaeoIr747l5wYtYfGC4VSh8GUQ8zHltM6xcKE8YbDJzkr62vF7YCYvvrSsFWJ1xCfL8TXKws5YGR39PNvYJsRqq9S64E22u2Wtm1In4W62TvtW/jk2YXuhnOuSMpR0/i2OG9KydsmsbwSu5ufJFpV5fgRmhU42Llx53dlPn0qYztg0Ifa8jTInyWg9Axk1FbFyyVMJfqnp84ByufXGSz85gYxEovKCm7bd5WozKdBEp3fF3t1gt9H6QT2mDL9AEB+T/I+P/3+U+7TSjcMGbCwW0kKz6jPKOVNE/VAweMszei8dVNU6gkSXXyqHIFm4xZHMb3X835Sfhuaw+bw+Me+6qkFVfWacSHDrC57JQUS57jgfqT7D3djh+CS4f531Dr4/ny0AloQO0GikSsBEhAMknDw3WBlUDA7h6h5ZAYx/ErDprkb/4/y9/Tr+zn8h+gM8mWDgU80qmD37z24QsPMc/pFJnYmSZMeU1IgOIBviJzfD+sPTEiw/qsNS4dmUnS84fIeguGGKBRU9J1mYljSUUeVdEOjxU6AwBfFZEJEhAIgBr6aDx57md/HYh9Z6PJ0Hcc7vdSzETfpFhzBwbUIOUJMaQVOzp0FRzydfLsaxOnIEXrJkIyc/auUlqDEfHM7mgkOyY8/r8gZb5mdreCD6kcwESDoyY19UoTcHZ7UgT+X6Gb3yxNDykzKygY4br9P3t/mZiSSKqgRzLnURwhs9E+4OYBxGJrxTxsoIhWxhEZjRMPyK9jRoVR9hRIRhPl9ZVMHvbqlVVl5CuEJ6iy5N9FGz0hYWTcfbLj6Z+BJiw+dpU91zdP5h2cXNkQvxoa2KIby7UATa+7lmn9LJh5J/GaPu0YLX6UKoUjgklgbRbrKJuar/wttQdnFsyCBemuwIG3EjI+JDzefDCEkkykfmskUGJLP45jMl/wHqZ6KT5Sf9x7Dzq1fs7Lpc+yq/Wkk7jvJs150ZCCFZZZEdZwTMARniSUrYTvPhKI9/SRnP1GsfXc3/On9F/YzN0w4nHy9ukErtESuZ+lwdhg4n/laH9LhfwKejXWfT05hlnq6h21OSnpNU635PTAPwBgIr5NEYIHkhzGCuuvjKsPn+cY2c3hVYry0GdydNjNmvL6vODAllAhBoP5J5zzUU7xeyvW9zRhug5M3bD3SYqQrBPx+FzVDtfzuVKSQhIZpQA6N+HHZJDYTBHvfdZXsQ9qV7vs4qz9SMTgFp+Pru7zU2Lwl7px3cslWdvTJi67wbaiO8cw9i3IeMqk6JX7YKg572n4mkkHCLQ9P3u8y/0LPROTxqqkjl7kzEUXaW2B7q9qYJSxrvEmcPeqi9ylQeYPezCJuTy2rkEubdAxpOWkLuufo/L267vhlVx1Tq6oht29nxYneyp4OwcEdGese2XjO0t9WuuGdbPQk3xmIdUseTk+v54wXULCOhD8Dj0aiMK37PHRFUc8KQ1w95W974eR3SO0u5sQvhmWxRimMcOzHHjs60wMNdc44Pw54CgknlOZ2k6nRmU72hKvE3csSoxOtnDI+CNpe/K7l1/I8TWbZwQ75qR7eXytSlLlTHMOqfCSM9vYRQLkfaEh1inP0Z4LkUbQcpTpEMtbYnnbbBKw4+0cQTHpctmPy23lQ6SSQ/Nfgyoos8LfMUsK+G817v03b40vKRGR+dq92bykx8mHVnLNo5f0YeLpNKR+JvCeuidLH4+w4sumu8qGlvTWoh79c7sGF66p9LDu4dqWeBXWTBfhtHVvZu7+RPJ826iCre3ygN0AkSIp0nbZBiPSPUbYKzW2MqJ5uEi9jeGDF6W8so96UgjFnDUXgccUfNlkvOs9rezUR20PSkqCp4d86aq8tno6ebIYqt+ylY8IVPIUUw5HN4wUBRHHIjCnMOJ0LzTksISRs1UOV1PddGDWD5ENcKG9KTz8Xdp9r+VbI8/zpnpNklSIaSPDZ902AkZcSnO8qWbJ6Ht3r0tjCJQtoj8PPiDfHOc1aC17TpiCb/fjiXEpfUCXih5rUzthQ301vDBwkW3Pia8nPoIVW5Jv3Jrb3t0eUP51tvvA3Ozviy5SurP398hw6+doaQ1ljWim2VD9m/F217m9vUZJ7EzM3xR6Kvem59WqhLw6TVFRcUvCI/fogv5nwll+fqei9NkTpOWET4Z3NWAHZX+r1Y92/FTrWVkizas+4e22l7W1aRI7Orser+rzR5oeqqp2xEsbv24LfhPQruvDiXXhjDHjgz3n/TvWB9/FVtttWjegdpUQecNAiBy4jU0m04cLODpNuv3fuq3IRIv5OevI4aUit7+hFnZ0j/ddwvlW7n0511+npUkbprkPLaV66ULWDsPE+EcZJM0es3lJ1EFLmFGUALT+PwpLRRP9Jl+e42dbFDg4Qnur3VarawD2wKLSo1towlLBEhLxKuTS7xMIzCTLDxCQ3R5J9KUn4OlyFxkVgA4oiMlbHwdTmhzEP1j3CRC4UAUGgK8j/SGIj36EMh4Fz9ekMIG3VrHPFhwwNxk4LOMxm8hZWDgUCh/dmoWbX5Sag4ghzVFNeCSKSE2DpDyh/QO3OHYZD5DGIfaMLFQVA3MJwD6QLktFXWfA6MQ2iegdQc99GkknECh9oQbn9R/0yecZo01WfEuhpcJdwIQ2h8+sTMfi7yPMORnHUOYZ91UcD5kh2p06LmwTZgSGphTTLG8eA5OCuwhAiu9djs6eskxCimQhGYhrzDkWDIUFB+HcEqbpuo4hrzKop5hDTTRdhT6bIdOwoIZGthYAoVoe7SeFiB3h4mQbQyyck7JWtHECDAskC01CWDsMznDAcSIvEH6iAFI6FgewSBpXJNTnb0CUR0qM5U4hDaDJuzloFRn2svBoa+bJD4+J28idK1JRInBPWjO1Cs9RsHwDgiYEgxutB5ArysdECRN+IJu9Ulo1U06nCstrsyMEEUFGm4yIiJ84HtAoXEDuDpbjc29aUHEjx2nGGN8T+wKDALnenbJLBgzuashPiQyahfrLJsRiIhXnjCXkr5uOCaYZSE7VTduKLTilGyCHkzxtGAYh3yGo7VPzQhAVhBAOASzdFYeT8JCjUvtX0+a3p1HlN5An4yjXV1LBIyEWIIKCwDToVQDfIQuSYFgiAyJ1TPQdKFeJsBBgiuEKXKRVWBRAQGMtKwv+/YbncFUQFVSRP3lI6OuQuEKkFNdlQtB33DWrmGMm5XIRkv2j20dn6kwVQwqB4lAIm3MMXNAopQNAweB0eZemh2aVI+bHX6/WWRZmQxKyPMUZkJDNJZsuBc7DrDrSADdOAKQ4JxqTvKbDHimkTa/AouRAogSKkixGMSEKUKFA55JO8qxIxke8uSxSb0dhgq/WQISRQ9M7XnE05BCxA0Oz8efAjnpeaBqJAdXEjleE1C60p6hCWZbneC61602KXgLsIeZPB2hC+pC8EDjOFnziIJ5joDzn2KgIHoZWZNGKxiTmIYgE785/vS3WsLvMG5U/gEFN6RCISINUlDqyIDgZZhxoDuSANpFNEt6ZMhJ8Vzt1TgDEnaFMC4rQ1IhEqCA6ASYnA7QBjAURAFAEBAggGzyov53dyDmJbFX7kYWH4PozuC9DQ7o0EJADwDY2CbRqCHKi58pi4WuZCDNmOwx2FnpufAPmz6sBguJ8M0Cw2BqPkLm2wwYJZGyb2LqS8mxnJQHsG96EmZgJBP37VKdAazTJM9UlJVisI68FzivAsiFaEMSZHIFxoD0BpQt0/f2FESviFz0besddRb7g/SEXaofNAfPaQaqJzIlixl1m/x+YXyYd1XB+kdN+gasg2F+oWcYhZcxI3pQOxMmIfyyP0AS/v9T/rDsD9/4CsY0oNwdofPEXzpMPUTM8mVX+Ay09N/KjT6CfDGOhsog0KL/rYKxnH3UX+eBUInQ7W3T2PJLCP3JNURxLgFBtIc3ZP48cFMx+I2Q0zTQ0kkgmdrFhkGAGL6KyDDzh3K32B8f+vkt9DgmtRPOeZSBGwqApzomYoPIdCb4fl+80jOdoqDBRiTJ92FisM8MtAfoIGnD/JXzow9KfeFOGPthsnhQ7mB6f8CHpGvolsoH9dlRcqyUESAqOEC0hbIPcSNAjAZs1Fm4sxGaDWTIHKHCiB4N8oXODo9ELaZNMNPD3V++gZ/NdWp6iBqegOmWk74iyXTCgmcaqhYNqs45r/Qq4mCYkJCQBv0DID6OBydjAz0hzyElw1ACEX6elCvddPLVjaCvA7A3FAbBWb6CoMgggEZZI0f4x284H98HSOrXsPIw37caLAJW6Hemg4vlL2SQgdB3y1nZ1xE93qC5x2e2wEbGIXojeS7SLQ3kz3I2XUcqxEgYUFaCxRA7X3zJHrMEzPpNgQoQmhPjsoRBM6JXS4IGKIcVKXeH/gMrQPNR/L21pRkhrIUhmVtYboAb54BiMkr7qJ7KEiiLCICsEPWUSHYClElwl+wLrB7Qu5HYB4bzwOsX6GsqA+CYdNwdWqBKGkIKbeglnd3cMC6zRpogyMqZumtocYYG2lF1Qx44sLaCyXW3ARDSF1quAJmSu39bcljFmrdtBkM+F5Xi2EeXExNN3CrGhaDSojdO9Sq8Z+F020NGYMlm51u1wNT42quyArIIkWqKbZWrpqUmwdf0mSwR/lD6A9/vU99CH5jCTYHADWiDSwLHtPMUSyDkwmQZ4qndA2AbcRbEUoINNL8yWXjyPJH3+a3cHjg+pkgZC0rFW/RAxBn7QzA9PmhD0WH0JVGZlKLkQqAwlZgIjUMjgCWQSkltyWCFETIcD6xKGMPa46VcHEkNMk9P3uYiZkVRuXFHMcmNRltbW5hVylRtklrZ9Op/ifuE9vflngUPPMNr5Nh5SLUEnnG7zhvo6jp6z9Jc5352uHGv2zKWnkQZ+MEOz8gdr3Lagp7uuzwpQ1tAp8YfOOs6Xp4kKtRiP4fIUPrIB3TWEnWLauVJpBuGk+0IHh+L+7gak191cZYOQVRIBAsRiYEcukFRHgDMy4+I9g1HNTqIQjfUHBKxGUUTqy6PeWFiftievIbSiG3AMkmAkQ0Foi0oTYv9C7jt6xrLrHyum8f+lWxKdBvi5cXlAJYLkrLojUr4ClXvCrFqsG02HNDYbkn705biMWWPwucOWYxEpsIhG2XGky9JIEI5Z9GfZtmlhk5gjpG4zYsXDum6x8VBsZbjgzBAijG+PjiFru5GWfLbI0uND8rhGU20cHHBdnDJrU7cA5htTkHQ1g6pBJjGpP8ab9/G3hPE4h+kEdmPBKueexhxSGnXXT79TWDJrGJDCIEksIu2jEUb8bdjT3o7InnxHGN214Znqco3MaSFBjjHXThoMHeBSOMG1TjnbIqKg3l8myJaHV2cMiJIw5O7myngN4bSZuyDAbNoy8NiOOX1RYiHzW+3fbDsiix8C7rY1BIcIQXvsswOw7bxNsZhI71jtvREAgOjGG8Sb+Fj7utyOzN18ak6rXLs+GZ+goWmz9c6M3soqWrxUDmiMFnlbZqs2qGMawyCsuDWwpH1GEY3dpeIJuVJohVoRTbXFmYILwPAWTBZJQmw70SyCSAml1LvPO2Mzxs0FuFMbvI06KJHTVEaum3xn4LJq3xqCCUOelkuBezHt4c73yZvqFKmOFbW7u80s1hKyUlcLeMTnbjibQqN52rfjbbVUoRA75RGDKIIutTjFwXHptLZVIEadhCE/R33la26RpwejKvDkj0ohsqBqT4qtBFuCgpjbELALKLsW0RKJioHlxWQzUK3etYeBJz+MWYv1u8896upPPvaJ7XtGlbA3ITFuLOSBCihTCdXJ268vVDFUFgR4tsWNkFTN3C2bAIzDPDCMQNFjDMyDboDSp9BF7AdA2UtRd8jyQ4k4o00MoTnmzGN9Uk0dEwzGrweGCWjCypQmSZlhOrRin74MqLTYFp9xUiXVrU27F6Lyxm22vGN5Y2CLj4x8KMEUTRuRjDgaEJra9pzOjDN7WOBw2Ds2BaoEI5RsuWfhHEEztxNK0hUPKEejb4R2xeYfNBC1I7EYS61KzdO7k3mJMzSvioy8ut5uM0KsmTR01TbtydSY24qlZ+nGrYsYCQEZGLcN7imhKDMLgYpnBhEo2OQ4AFxisJBDcFBHeaFyTENAZAlgbpYMi6DQUhQaWsApD9TC5rMR1DdNAQ0i3KDN1bgsGFoj1wokWqFximnD/Am5zEwf14lBYwDIt7jdW+cQIu41m0B0LiKfiwP+2MGKJBEUGJZvx/V1GYQRUg0NAHGwcsmMO6NCBVa+hsvOLsscu26xZi2a5xTBoLhcdIQhUzWyUCvECmV3hjpLpTqjAqsyTq7rEXsdN6hsB2SFdBdd9jCukms5od5tUV6T+ZoJNIaDSOixIOx5itYRcXmOaxaOkgnz4fpsKccNs2Aqpf3mjQ8czXsO0Q/eEHShKyRP2xH3mpHWv0HUaYOo1Q6WIl+53PSXLN14xQkHZfCBpJpkApPx6+BmjHW2fLfEKCYNKJKCJJKMKREqAUgBXXHcfCfWaQDYj9/gT52muVGGQ+kP7NbsUPkQhsOjp+lKCjpm8wKC5blQBgrnslVvDR0TAa2TwA7rpeaiYqoSKK6A29kQjfXhdAuDAnagsBGBJFBCsNqrgOY+cMVyImXiTv1n1+jDpx5UQOft4lDklpUqlOtVwiBEqsQJhy8OpCgcuCh7pQiDjSM8LfizXjQBg32aA3MBDEFZgrF44MMqtdNhrCxF2CvWmrqCOBI3VwAMiGlKP7cjbiXVORDq3BIQdw2LPx+yphXjAgUyRk5zZwKCTRKE1r/mRFNgKczOZsl0P28/L24VeqZb7+cTdmc1KHtQWSTqMCLEOO5+8Bn7iQoV2brWtmfAHzMqTOyY2GWEkatw4WKfRcOQW/xeFO2NT7otWh3NA2jA7McnEOJIcayNa9LzxnNlwpN8KtCidnoqy1Cbe+m2L2cqD2t9zMgTJtSMOIYNkMUigKREUAOSWEwD7kVGB3IhUjAFgBFgskVgkVPJ6asRNqoGjYDZCwXaGrh5QIwkRirhofwJwYI/V/ywMgIMh5Rs4GyO0JmCMCjK3ilHjCy82FnhZT4kkILBdwF3Dqp/h4FxDeABzRWOAXLAe7YdMGEPRHh5KcXhC6n90d4F3gQMT+uegP6ArZn3v4fuw1D7DW2TUHrJAkiVzUwooahXYg+RFi4FkoTtR/+ERD8h4dUOONvL6D5QPadUQ0gBa40wjUolgjFaUrCtghWQaBMyw8TG6QA0KMESpRgBVEJRApZQFEthQWMJGDEVRkRltrZLD+bBKUGMRRMEjllGGJYwp8u/uN5i5EVC38w4/sDZ3DpGnn6CSBTbJrsgYRU3EABLRUhFU1GBitlAO5+1PB95d/O38gM6cHgKAxayoXaENmvxRqJ5fTTInbIhqSjMPzs5GYvEeyBCSMAivUv5A1FfVqtPZpP9nzvq7YYiOBDhA02B9nh7yw2LtcL28xMg3Ol3zWYWw8qx5Lw8CUFi4ITeJZebBis2MMr2mACzIIkRjOrTkuo6SURGD+FNE9vqM5/5jYxViKyJFwJsJoG2+e6GOpE3M1eo5VKFSvIzyfDgj6mk8M/T6DyjKIvS0eIxJqqEGDdIiTuA9jtqCL0GokmY7OlYw/a91jSjGBnM6wX3HuKhyZh5H5GdRyrGKoF5Ow9m0ORNeRo9tc0QPn+g9h4HEnsiiXRXwtJdUScRgUKWVCmBPFwklkYgIKKic6Iz7bD3HQPIMkOEMDkyYFGyJJ1NOZlKBhOGHZuLMOUkDjHAXIIjGKjWwnoG2kbE6mGZ1ogweN2jELAqhAsYd3r0MnOPOaTOOuZll3IZDxGBYwHVbZYQpoGdby57WneQOEChpCBAg7rbQpEdhgX0maCCQiyQRBMVCG++s2s9HVctNauye8Ya0GTCpAtYUksYRfgg1BSQY3jKqNPMSmxFCBTTm4hdNeCLfGaGYY4+10KLllICYIsp9/UPzsn99AxHZKTwkGRYBplRRYUtEC1iAxhBQqFEBEiItBZCe4EAKiskJt2mm0n6MwWIwFPvnMBkDJHXXAi41GK2sVRGSBE2oXiFbPlO8chy55wmlS+ge+Bfs7ayZ6urv89zmcWv7sqDsTWyQhEUGMYjIsRrgY6jCAhIYw0QhYB+6RkGCrWMHdwSBiHZpTDIueqJ+1OIxppnaJAR3ws+35m4BgvQAPsoexQlSOFG2UQflOc7wPtG+j4iv2gaIkSIHedHI37JnqkQMyTBI4nuxNmE0j0a8Rj7Dgxp8lvZt4uHd82HgF5iNC444nFhLxlkIrGqY/P0kViZ0knx9GJlpIrOKmfwd0leGzI03MNBeKYnVXDMYNMSUedbkSY2s5xL0Y0svcidLONg8lHLCsUWFHby9dVmk2kFvGtd5hWExJjiUmJO0U9J4UG84L8RsPu9ccMBpe5dL6r6g1ie8MyCHID3xxASRB88A/vIIrhDWEQd/iDpmQYjaBIrw9B2BvwUE/NPV8MCgMJs956kuvzmDJIUeELkuXKztzDCjHKlbClstpWUX8dlMsUFFC27IH2Gp2TJIfuwvoYQFA+pAgooKQnuSdsEwnqPjlsIKTWUKZaYRICfN5TwOQVoIB0uQJlyMYO/MMCUUdHNe/og0ZgOkTREWhV1B7jDVo7LHnOPdRz2XDw+UiFvcSme7b4X+OcYn1p/pZ5ULLW04IorL6wsY2woYagg9mNO40BQFCGYrBIQzIp1w4dHMD0Gf+ac2IxeLA55UG0c0IGh+oM9LIjB0UkJFIQ6WylpLbIFtPvLmaFGfnLQNInULdansEhRh6D5JDZ8EXre6VyM92i8QnnYEQSKwWIkRVVEhFkYhFQSAMgwSMgMEBicc/iRU/Yn/4g0PW+2w6C3YkMEA7UA9usgFIHaCGwQOeMWMBhIvspCiRBJIsgxJGSEGdoexOT2i+ASlxQ5x7BKX0+UPKQCnf3IUjvxdsogQlwgTEDCD0RvexQRuRDgznRpNFL/aJ7PRoN4H3SqomWkQ5wU+wiHqIO3PbzcxdO5QTghy3HibdTtBdQUZUFJpNKjPwmsS4cj1w06CEIAfT8OO6j1yJF6gXcegMDPn4+vO5dMC5RYgSSLkZXmBWBvDFsp5AzCyq+Nj7JIqaAoDEC0VQwLn0G9hQefOoqqInuEoveZQ6AxqbXicg+c82CSYNJzcKCGsA/czEUGjTfY42TqjzwqEcJfKuVJEyg7XDmi6qJ5RzsXVnS86E+yzBDUSiUThAxEvvKTAZzqz7brAnSJbLeeL2Xc9zSnaJelM4WIKjtWQwZ5nMQq3KjZ4MbMjYevzM6O3gnsqJCNtEud1XAIIe9nG7K4iHViBsjVOcNchzl6jnP6Go3X17QNgGqUeKCEB2eOjYnlGIvyA4dMdjx/n61YQCMCQIySBBiQEIEQ6+sx/7dl/d4/Xj/KBhe1ne5gV0HEkMcCzu0nJi6IXIXDr6lv0XVZDGDstNlQS2loqy0q1Jo3fZreBF5yoaot+wbJynCzC7yhFFgjoSVdFS2sRRkohFKqWJFG2Fas4Sg8hQZNSnAixLrJFSiNBaUjUqWzpzwcboyZGHAAgUkQJxAmQs/KUIJxOYNE8fg47podyAe17kAtnYEDURgcyQ2xCETdDaEG28HgOwwHHGWBVTgfM2IMODRjgusTmPOUeHvr2FwgXhQWkr9fzaBpOYFht6wNi7NtyKgoLOt97l+i53ITy2eRLB0j2uSIsinrBhpFbCjpBPNQlAQVVfD39xEc4TqQEKQRo4EBJptwXkfWGkWBRvE7uwoHFXoQ1WNw+x+7lqOgPImkxPA3JxVDiUBw/P0e+b889WkuQstSN6QkM6nG4US+GYkYgRFIAERz7VAiwNWVItxCsVShHJXcNGjj2dptKvCs4ci9Fym7TTYPCYSWz55yIHB+XfSbeVj68H34XQWN1BG8P4zZ7Swm1Qk7JmSGVzkrBBss7CrpCHTlYVEaSvV5Dsz6F36DAsG0vrBhNorgYtQZvy1QJAqdq8PwVIDdENP2sQxQLgp2OwKshlS+X1nOWOc6qCfJS/CYEOZOd4EkWHr+INegRfQJYiWlqIURsisZBEogoNIKBVYRSIxJBajaMFK2CBBOfUZKfGzXy9odgCktCdJUYBFIORpg4wMjM81WwoS5zfKnSdWFOFY5LWyxXUpOh6fC2hl4mkOfnTSiWXLCiGozKC8LkjyO0s80PCqMC9dfU81kfFso88XidRAd5kEcBYNkQ/VFFJAWhwMcGwLZTnLtozcd+zzw2emcI9dJRlarPheWV6phJDckCyr2Tv2aN//AEFQsdBpoNWHCyl+U6u/BenHGhECBAl0JoCA3A1AuDK1NBxU1D1xoJMYayn2JTHmbhybDf8aUzpyTDR95uTOaWgzpOw872boBbJzvUmt7MiyaNzNiJoLQZNoMzMChSkGTKFiipBhvMMRVNJRq3RrWy5qWWF5RhqwLywwYoSHyMkHbdJoKAMc1YBLhkYRvhmJxQ0AoswZDBAMVEYrBMQlGCXNOaiiI6uQQmqGlwdjuG85V2Au70wXzajsWy0nOUTadohmUKaKSoYb4wMGa1YEU3gPgdzBsN02p6yqBZ2Jg2Ak13yyXARqJjFKmuI0RLx1wQLwRSq4Fec1uChMh3JwHUDRMKQoJNBCwoFKFBJrRe3dzegrvT0mobBIoZOkQF1opPxaGmDL0skFViKd1lE8JOV8YTySGS/CnpD2Od6dxAq51kmAh3mAvbkDQWRQMYU6ikSjGkbsUuxuXG7EIQqMdQlkRDRDCNCk0mBwQmSSm5SCbcGSkTEBSQRf+7RQUigoCyKRQQQkEjBQhyUCDGB3CbhZoYAxWAqKiwBEZ3mwPYMLXGAQ1yR1ARELRFkVQ1LopAhL+bhon0U+S9BGYCpsE6kho+vcFfyIjwKIqG0ttUJfdSc3Zt78DoIR8V35kirJmwWIRCuY5dNSPwJ5/RR8I2PnSy94XQoJJO0YIyACPYh50OWeWZZj35CtissBMYSWlQnlqVTJx2tDzCcjr6nvYcbFPSU1IlQJFcS2MS95QhRFSk/hioWVsAiESQkQEQEgCwIjBYCMIsC0RkoaGgrEEEaShSwrQSyZEPdrRhedXGKNoVERiIDEQZDNHP0O8exo5DsDPPYHJNZDm3AwoPoN1+89Xv3FnzsN/NcS9KfvMBGaKXq643lf0icKiQIJJiEw11OZY4vVO7OTOzJFShnCrmswDJ1UFJ6UB+8jFiMjnDUdCZsaTby8q8Bc5dByPMWkB9Uo9SlDIto0EBdpzTIQbVcClCwH1PRBkEbnV8HrKAKYkhIyiBSkC6GmlX6Q0oZAp0GtTpHIUfzfwFfl+s3dpGIAyAblIMJIQhGBGCOs/Q3N5dMA8CBffKuuYpYtQWCnxkSIe/RgWFfuiIeRbhBkUgxcXMrEktCwiFQaooSSgiIQKk+A6ihuDBwCCOIJugv7VcnPTZS1tLYASiLa9KWUJgBrLnvhpQC7vIOwiEMWEm+Au04G4dLCpkQ0GIBwmA3dkBcJmrDc43D5ADRMyieMOlKGRIv7gwMYZgWoQ5RQ0hMGRgzGVNIZpQFc0SUI7mFCh13NYQNTQrz6lT+nWyzc2lbwskxImDhD4QDIZDQGFBmcDYqMgB1qB2EFB3EEQKAiKF84MO5736/0U+l0v1FKlVMZCjjFBak+CHtXUQCIhp6IAbzpiD+iKHhCEVLEQCpC+gQjC/DD0/bASdAOR2FLBEGijVbYXyPqP9SDGBWoe2Bg9XYEjAgOmjJF6xV7AfEM9Z2n6PdZkFvCETsPYVb8ZVjTAUUINAD1ny+u5SenUqn6uJA6fQ+lCy+mMjILXSdR1lMaIHspShFybUFHR7jNMjLhsL9/zfP7dCiks74Qv6qmhrbkRLQ6E5eRixJBQjQyYIMhLaASA0xqkwWF6m0DWao4IhoEo0I6SBcrzxDq7iAdo8T+unsCBYCCH0BW0l558n3EIAxEOc7wED4jQsSG6D7E9v7Eqzj65z1vvJ795XsVG89nwPAZ1J5aiVjDDiaBChgTGIQNbU5wQm4l8PwlEGiHC5gWa5sNuDdRAR6nmUP1olNztUO+wJzk0CSES4HMN2a9/5tCG6JKaaA/eEobliF7F+hvwsLKh1whNz5GVzaT7sJpsGEMg28DnpJAuEE47hG6u1NdD8aLkDp1ll0aCqKkUgoCCEEiEWSIJAUBYxQIAioxZBIiAJBSLEYIwXGN49Gqc9n3j06cvpT93MHFGu4z9z455ewsgUVEp5qZ5X3uROgo5hhu30F1fJTdheBble3af1HwwvjjSo/v0vNlQ4f6WYqGrRS9d3OWdTSN453UzYbsaXSGkrw7Zyz6kMdKdObl7FFiSH+1n3Vmogq3KRss08Iqk+7bzBWE/AHUVQSAQd5FgtCNf5HPw4HziWEsh0hEDoFlCIIwKMMCb5gzi/ZL1gINwXUsXRSlEElwx7Bhyl4A4B8OWHgGYU59pPyXZ8UrCdrsgJGCyKfJR8E7aMO5bRikL1lH+AHHbFVBgQbcP8oqFsZfMlvVLJjoeUvInhF5tb87LwVOd7ifjEEUHsk+AoLjlupTcVnaQkTURm7cWrV5C7e1DIOoZh7D5PjBSalj+W0P7zpfnLsKbK5ogy0H3mYxMtIoJEiMNmWAYwGCWN0WAJIJKwojaRYo4hZU8ZkqnnqHA09KBZaKY7JRRcZaBpoSrQgEmVm6asbJZuLZC8y5WXcmKLcMEtZNobgkCiESygqNKLsNmpqaplBAsbrAjBU1Kd1s2WNGFDdcIJi0IFQw0jSMPqIwh50f5iAtxXjrOHdXp6qMDvObYGra8AtFyM0j+VApcAkOiFQBkkJCHmDTnr7g6UM3ByV0irYNIRlVKshNeIV3iQZKZE8IjIJOk6h1DucWJNrBhL2UoQ+rtU7qcIWH4naHapg9Pqeu22La9yTNkIM1oKCdguhfeJFxYTG7xbM23th2JD5YSig+Sml5FHZortOpKPlyCkIPjVJNKHA6xHylUGoYNPV6KuAczLuTgCgWIDIdnhKurNA5ZZRomqF70LlColoriG4GHg9h5ShOuqun5r39kfAs2U1bLqhYIT4+T5Lg0PbTx19yFtCxDsmosY/Cc+8uaM64Rfywp8YbuvvV1hBQhbENskNfCjohpCjWTz+Vn5d5j7tU0aaJS0o2L9t2/+OG6aFaWTQbuqVOxvkfHyno1nQB4ROo8TyhQeRRT1BLy9EH7qcLIcrVhLFpQSSJCK0wByUUb0i+lAPWIfiwnI/ZkBqANR7IBBgshpItg7+ukdgMC5UVAkAnnF2pZ+JqDKI64RgIe1U+9hvO/E7Y7ZO/rLWml86CfZu84cTce80dAj8Y5Iew9Y5DQLBFUkRhmURFdTMK+x0jCrcMJFqkLCGgiElJCeOwgYKXb0BUSiKyCsSJVUtIRUESCyIrKktBpFhIoSQUWKBSSxlCiBYICCUCxCyAkQIRQjEINPUHcEFihIsimkzj+wkncEn1hbYkTkPpzt2NFS0O3bJiGhA7AbIM8feMP08VMlyajPXO3e2WeL6z9rVtMTu/CHBX5XL631vWjB9GZ8jn3w63XDQ45y4bQWoP1c2BnZjSmLvIDfG6dSXSjtOrEdx69SZYzT+1sGG0/FXQ215IY+DvlygL/WTDMGLAvcqG2lnJ710m0G2B1BjE4Ej1iDDOpkHTGxb0eERxJJVB7FKOyJ24KmGgwHC5THWHYNfXiOMjs6eHr9pR0nsqVth+Fpc02oMbSzBbMa4X4z0But7SWjfNpTu1pJW20OxSJyOGuCk2Js3C0uxwyk2GyUbM1BifJRzmaF2EUmbhzDFkk2LIniknuXeioaCV9RDt7J5slkxb60LMFLERTurxSrTOgotliMPSiqeLrE2Yci5ZJH4+cQW7mxgB80qdajaGja8aoPtxisI2tsxRraquJismdrA2nTYbwHZzDg8xpa3qVWE4KAO/9jg/S2+Em0zI5ENhASHxM56m5IjQbohhmH7hAOTMBojB86NaLdS1uoxLmRmFBAmzyVTm6C93owokGUDeKFjxJmBL1DFRvMWP2cISFToclUu8eGqz4BpNqETDGY/qw9zZJKWqcMEM47je02mps0nB0VyxVqLMU5oy4Yos1HGtCTiIPbemkJQqeSLj1eNRRS308ijNRKWIWWby45GgQKIJCJeCV6+B94+eI79A1O4EIn2F7CkDxWte+wLf1sM4Yen8OgyDXlk7id8+qA69ahRrwKHQZ7iI68yhq4uiFi8kNFKWCNxvvmikyFh65iUociFFRjGCqQ4tiwiYAiJKBvZQJalgcLjUMFwAstAxNB52bSBIuzdRZup1z0beHBLsc/UekqZMhtliQgKRD5+qhc9WYKGDgy2yD+vqiO9ShuFRqCwYyMZNIXClYIlt0ZCUxNH1R1iLpxCwyJWx02PCcHeLvDwKOQpkZiYUcRC7oMRXKiqCqQGqtxQaY6bheSguEXsq5YkeDx5n3wfNhXEdu6hS/cHMgpAOrA7IGsZEGPa+37aJ7tTbprY5rCdr6/KKmtTcMVyMWgXIsEhOxYQ6FVEVirHrrmyQr05/ybUw6DnEz79BEdp0wgdUGTXYqHOF8RQYghZcDkikHGkOBXJD7+EwyOybdSVXZe0M2g8kgQdz+AbNBm4aGpFOyBY6fko6jhWNNGEKR8KuoEe5sm7AR24GG2jZJcGqOjrD8OFyMEsyqICxYioIiKiOgrG7Cw+QTDIUiypS0KgQQkQSIApCCJ7LCjD2QgWTIDBkz1rjKZ8AXad0LJlLJujnGQrOB0kKLGKzWSmC1REQy1LQsJha4MhEQmZg4AAsqJDcSUnAyIByzw85k80aItS+Nj7bO6aR2T6OeTZ6idoMODnilQZehZiw4iS15TiasVdWJ3niDJk1ELn0akBKdEwPGiknDKiRxwFo88PmAl8pHrVk2cTLuzdDgLo6E0D5mfLZtDGFlBiNrA0uSpgYkOgMg3wgMQLZB10cmZk0gywbOm+DMNAq+a0C2KbqKCLmnSwE+Z5JGN354Y5xlBoztYKg0wPVyPLv8ePDDcb23smPgTiHp0dxzms3tgce0+NULSuH+Cs1inzNP8YoJTN6oNSeC2zgta+oCzhgZMyF1cUbe3LKwtgzhEn406DDWk0W21DlPky+ERWocpzsYcisFyOA6HpBozLE1UfGXZoGRnQOTVHaWJh0Mb6TzvnfnfMYYRp5zI8mEbDcmsyZZ45TrZRJj0GHgIcc2pwCGtoN0BsOEMbnpVS8svfRtJRqwMSMuFnSUl56ZPDePMEt0Vh2l7DpDQbeyHWKVt6xBljIizVQvLfr6MTTxYsLhNaLSZBEkA4EhWEjOs6inSXinjZlu9JwUmNAwKcZzqyHJyWBKMENqcmE5ZXjgoHENVKNTpYc1zl3mtGzcZCuUOJsipMQUU/M4nxivG7jIh8zG81NFEJ6UiKedOPxh8YfDauSSLehCqYCS5kmMOxvkHZmwPZ6rok2RsbYVyMt8EFOjZ+Zbh83opInXxaa1ngcZNjBIjFEYcmG6Q1qS4F5QUYhNCRlKGZgidpTRg1A7FodSIByDCuFFteeXDWWzVDmC1M5l4ojXMxWjZYrWs5nKxjYZmxLCTMZE8DYUNgTQZKowjJmwyUYWE6jZuFRKJZYeYiMoSzyPKNIdGMEjkGMVhzkxlF29Xl3bptkZDYFQ1BDVkGMRYM6Z54xiTUzIJqWyhhEEmzCahhSRqgcV4IO3l6TB7A2GKM7bswxpuZ2dfDCCZVYwuQ2xwJeFlT0KJ0jY4AGaB+Dtp07ykuQFkVyDSWLDhxvZN4dTzI3LiugigJhbCGIZ1DIiMUZCZUt1ToQjBIiaDCwYDFgsiszMRQ0FCkNMtsuoIRMhSh5g8Wh7Z35OnMK6qVFWlKJqUxGCLmW4BadzqcIBoEx4BzJmCa75zCQgrZARRA5cJjExT10xxk36BqmDaJPmFHhsPfu3FiE1gnIEYiJgRaU+h9bM1eJaMZnutENEjiJ2qyWldxR0QYCTyAZDd29VhuGQvQq45OEkOnmOdwOAhrGI/PFWlSoINEO+KUhoRAJWNUpYDQfhVxthxui42BSwibG4Y6kMTovsuXDtrbONEdeW9NcsWT1nm7QoMFAoHHlZkgQgJ2BWCqHFhp0x7s2S06Fg7OborrAcTBwBtCaUYNshAUyVFEx1bhKSaOMCiDNBYYaRplym9NK9hqNXkOm35t/fC0xYc0aMC8tKFH9zHU25XSLpY3AlJwkOIITyASHaDA6MU8vGGTUNGfaeCQnlZIbwE7FVVeoQ4g4A09MtaRGFOX5Ddksya192jruVVgcZVUVYdSFKIw8hMA8SBYfXJQePcjFFFgYOQ0GvNe9fLXGK4bTQ1majpCAWQNVFgOzI0w0cTvE0C9FyxqYpIEAiMQPQWYUp+YgXgibAIinNjQcBaDjw3Ps+/t8eumMJCtVnkcvIYN8AhgU9dzWoVWHINLBV5Y2DdZxkyQxLio2DAaBIkoESrEy0m7lUc4tuXVrqPnNb23Ykg0g0VMxKVfSHdsA6wxFubwaBAziuQEGg3Ac+1LGZlNsUh0/aSEIYlGPKrksdfBA7U8oJvE40vUIcel5fjGScu/ODCHUidcKJsEksEgjGIiE3GiBq1j1JSa/+zBGQFgE17dBAYEshgB6h9lwM1NYroJ0hkD2RQjA95AWEGO1H9mWpE5AXHSEU/xNk4EZI0tQpaRLQYeMQGBNnrk+aT2+6w7/NUYetoFJn4a8fXgsPuVkZeoqVRir/97t6QG19xQdwtUaYBcgdQOBQ/IsLYovGCrQ9uPgFkoZ1wsSIcW6dHPz67ZlbCnooKosWSOs0AiQNiNuurpCPWZHcGJEhnrrhAdwwewOD3fXO+Vy3KmEIyf86atSzMAopBYQFBIbsIzSB6YhoEAYQxG1I+g5G/l0fjEgI6kmH66Cn1ddSwdZ9PwCw+0X7AgPYd4ZaQ3EgQgw9qdCJ3rb+NuSsoCwZQoSgnwdjRJOJ9u8rlDVOZh4WCkeMjVMI7Uh7/yV7rhglnYkc9YgHGEQOHad+g+TnDNkTJMyx+AQF4xo+0umLDIaTIbCjQ6z4A5IemegyMg8DIwF6ybWPymMIRWJQJlDAgtidjqoeM4T9fhX1+TwmN5JO39WOOOGM3A70okXim5XeUlo7qwyoMOBFqmMX9xDC1EfZ8KMpzngGs6e3wS1AR5MhfJsXQ81MZIgRUgEjSIQqSFGedkYokWEBQJ74oIFnvPlkZPYS7Fn0ODog+C/MPoJb7Z29mdttqy6PtTFaHzqC1+YTXqQtRs+T7zpENk5ORoZZ0OknF79qoYJWOrwGrHkEsSXHrwcYZl3tU8zFM5NzKXYUSnGpk0snYKGhIu8geNkTk7pggm7WKc2LohqDJQNRka8REsHQBiRXV4eWjs6j5bPohJ0Iai5ad1ZVUxHzLxKtVQvN8YQyeN+QWUaoDC84NgGIXuciHP5T5olQ/48Cq8x+7QflP6fK+s1ajyeb+Jjk42OCP3EPyZ9Hfxo1YdgrRUv/Mr/Xu+l9C/+LuSKcKEh6UtxSAA==')))
\ No newline at end of file
diff --git a/examples/tmp/c02105week2/writeup/writeup.html b/examples/tmp/c02105week2/writeup/writeup.html
new file mode 100644
index 0000000000000000000000000000000000000000..08a6eeee8e4a05dcd058e6e03156862d1d5e01b4
--- /dev/null
+++ b/examples/tmp/c02105week2/writeup/writeup.html
@@ -0,0 +1,5 @@
+
+    <html><body>
+    To hand in this assignment, upload the file <b>stones.py</b>
+    </body></html>    
+    
\ No newline at end of file
diff --git a/examples/autolab_token_upload/tmp/cs101/Makefile b/examples/tmp/c02631week5/Makefile
similarity index 60%
rename from examples/autolab_token_upload/tmp/cs101/Makefile
rename to examples/tmp/c02631week5/Makefile
index c0b709ce773ab1bb73048dad0bf97fe0207af42f..315a17b0b162a8f382a97133a51277225c0f0f67 100644
--- a/examples/autolab_token_upload/tmp/cs101/Makefile
+++ b/examples/tmp/c02631week5/Makefile
@@ -9,24 +9,26 @@ all: handout handout-tarfile
 
 handout: 
 	# Rebuild the handout directory that students download
-	(rm -rf cs101-handout; mkdir cs101-handout)
-	cp -p src/Makefile-handout cs101-handout/Makefile
-	cp -p src/README-handout cs101-handout/README
-	cp -p src/driver_python.py cs101-handout
+	(rm -rf c02631week5-handout; mkdir c02631week5-handout)
+	cp -p src/Makefile-handout c02631week5-handout/Makefile
+	cp -p src/README-handout c02631week5-handout/README
+	cp -p src/driver_python.py c02631week5-handout
 
-	cp -p src/student_sources.zip cs101-handout
+	cp -p src/looping.py c02631week5-handout
 
-	cp -p src/Report1_handin.token cs101-handout
+	cp -p src/docker_helpers.py c02631week5-handout
 
-	cp -p src/docker_helpers.py cs101-handout
+	cp -p src/looping_tests_grade.py c02631week5-handout
 
-	cp -p src/report1_grade.py cs101-handout
+	cp -p src/Report1Flat_handin.token c02631week5-handout
 
 
 handout-tarfile: handout
 	# Build *-handout.tar and autograde.tar
-	tar cvf cs101-handout.tar cs101-handout
-	cp -p cs101-handout.tar autograde.tar
+	# tar cvf c02631week5-handout.tar c02631week5-handout
+	# cp -p c02631week5-handout.tar autograde.tar
+	tar cvf autograde.tar c02631week5-handout
+	# cp -p c02631week5-handout.tar autograde.tar
 
 clean:
 	# Clean the entire lab directory tree.  Note that you can run
@@ -35,7 +37,7 @@ clean:
 	rm -f *~ *.tar
 	(cd src; make clean)
 	(cd test-autograder; make clean)
-	rm -rf cs101-handout
+	rm -rf c02631week5-handout
 	rm -f autograde.tar
 #
 # CAREFULL!!! This will delete all student records in the logfile and
diff --git a/examples/tmp/c02631week5/autograde-Makefile b/examples/tmp/c02631week5/autograde-Makefile
new file mode 100644
index 0000000000000000000000000000000000000000..dc896c7748f55a06288022bb6f3a89a43d31bff4
--- /dev/null
+++ b/examples/tmp/c02631week5/autograde-Makefile
@@ -0,0 +1,7 @@
+all:
+	tar xf autograde.tar
+	cp looping.py c02631week5-autograde
+	(cd c02631week5-autograde; python3 driver_python.py)
+
+clean:
+	rm -rf *~ c02631week5-autograde
\ No newline at end of file
diff --git a/examples/tmp/c02631week5/autograde.tar b/examples/tmp/c02631week5/autograde.tar
new file mode 100644
index 0000000000000000000000000000000000000000..e95afde946fcf75a75229cecce2e348d400f610d
Binary files /dev/null and b/examples/tmp/c02631week5/autograde.tar differ
diff --git a/examples/tmp/c02631week5/c02631week5-autograde/Report1Flat_handin.token b/examples/tmp/c02631week5/c02631week5-autograde/Report1Flat_handin.token
new file mode 100644
index 0000000000000000000000000000000000000000..7321e613d9ff3038f3cdedd5e032892f4f7e3d5b
--- /dev/null
+++ b/examples/tmp/c02631week5/c02631week5-autograde/Report1Flat_handin.token
@@ -0,0 +1,204 @@
+# This file contains your results. Do not edit its content. Simply upload it as it is.
+---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
+e7013fb67d727792b52d542b3f796aa1b891444bcab420b531e2e1e606d376bc99bfc60148f0ad48cc227018b78e93e9dfe5f1422bd399b843fb2a0272ae78d7 35852
+---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
+./Td6WFoAAATm1rRGAgAhARYAAAB0L+Wj4LeqaMddAEABDnfj38vF2554czHIR/EREdOEKqOtwYLgd6nNce905BNPcsyx/LszXwpYyoESSTG5z25wWovjIzd6re/JruOhTz9FLS/fA2MZORW8c7OeU6npBUqWz2V5oqKw2tjFZkH2WelmHZu
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\ No newline at end of file
diff --git a/examples/tmp/c02631week5/c02631week5-autograde/autograde-Makefile b/examples/tmp/c02631week5/c02631week5-autograde/autograde-Makefile
new file mode 100644
index 0000000000000000000000000000000000000000..4640cce8e90097573b60ac218e49c145caa63b73
--- /dev/null
+++ b/examples/tmp/c02631week5/c02631week5-autograde/autograde-Makefile
@@ -0,0 +1,7 @@
+all:
+	tar xf autograde.tar
+	cp looping.py c02631week5-handout
+	(cd c02631week5-handout; python3 driver_python.py)
+
+clean:
+	rm -rf *~ c02631week5-handout
\ No newline at end of file
diff --git a/examples/tmp/c02631week5/c02631week5-autograde/driver_python.py b/examples/tmp/c02631week5/c02631week5-autograde/driver_python.py
new file mode 100644
index 0000000000000000000000000000000000000000..286f74612cf1a77248e066f52be1ec0b739ec485
--- /dev/null
+++ b/examples/tmp/c02631week5/c02631week5-autograde/driver_python.py
@@ -0,0 +1,92 @@
+import os
+import glob
+import shutil
+import sys
+import subprocess
+from unitgrade_private.autolab.autolab import format_autolab_json
+from unitgrade_private.docker_helpers import student_token_file_runner
+from unitgrade_private import load_token
+import time
+import unitgrade_private
+
+verbose = False
+tag = "[driver_python.py]"
+
+if not verbose:
+    print("="*10)
+    print(tag, "Starting unitgrade evaluation...")
+import unitgrade
+print(tag, "Unitgrade version", unitgrade.version.__version__)
+print(tag, "Unitgrade-devel version", unitgrade_private.version.__version__)
+
+
+sys.stderr = sys.stdout
+wdir = os.getcwd()
+
+def pfiles():
+    print("> Files in dir:")
+    for f in glob.glob(wdir + "/*"):
+        print(f)
+    print("---")
+
+handin_filename = "looping.py"
+student_token_file = 'Report1Flat_handin.token'
+instructor_grade_script = 'looping_tests_grade.py'
+grade_file_relative_destination = "looping_tests_grade.py"
+host_tmp_dir = wdir + "/tmp"
+homework_file = "looping.py"
+# homework_file = "looping.py"
+student_should_upload_token = False # Add these from template.
+
+if not verbose:
+    pfiles()
+    print(f"{host_tmp_dir=}")
+    print(f"{student_token_file=}")
+    print(f"{instructor_grade_script=}")
+
+print("Current directory", os.getcwd())
+print("student_token_file", student_token_file)
+for f in glob.glob(os.getcwd() + "/*"):
+    print(f)
+try:
+    # This is how we get the student file structure.
+    command, host_tmp_dir, token = student_token_file_runner(host_tmp_dir, student_token_file, instructor_grade_script,
+                                                             grade_file_relative_destination)
+    # run the stuff.
+    if not student_should_upload_token:
+        """ Add the student homework to the right location. """
+        print("Moving uploaded file from", os.path.basename(handin_filename), "to", handin_filename)
+        # print("file exists?", os.path.isfile(os.path.basename(handin_filename)))
+        shutil.move(os.path.basename(handin_filename), host_tmp_dir + "/" + handin_filename)
+
+    command = f"cd tmp && {command} --noprogress --autolab"
+    def rcom(cm):
+        rs = subprocess.run(cm, capture_output=True, text=True, shell=True)
+        print(rs.stdout)
+        if len(rs.stderr) > 0:
+            print(tag, "There were errors in executing the file:")
+            print(rs.stderr)
+
+    start = time.time()
+    rcom(command)
+    ls = glob.glob(token)
+    f = ls[0]
+    results, _ = load_token(ls[0])
+
+except Exception as e:
+    if not student_should_upload_token:
+        print(tag, "A major error occured while starting unitgrade.")
+        print(tag, "This can mean the grader itself is badly configured, or (more likely) that you submitted a completely wrong file.")
+        print(tag, "The following is the content of the file you uploaded; is it what you expect?")
+        with open(host_tmp_dir + "/" + handin_filename, 'r') as f:
+            print( f.read() )
+        print(" ")
+        print(tag, "If you cannot resolve the problem, please contact the teacher and include details such as this log, as well as the file you submitted.")
+
+    raise e
+
+if verbose:
+    print(tag, f"{token=}")
+    print(tag, results['total'])
+
+format_autolab_json(results)
\ No newline at end of file
diff --git a/examples/tmp/c02631week5/c02631week5-autograde/looping.py b/examples/tmp/c02631week5/c02631week5-autograde/looping.py
new file mode 100644
index 0000000000000000000000000000000000000000..64db4f21b1aa35baa2ad7650bebee649c2581309
--- /dev/null
+++ b/examples/tmp/c02631week5/c02631week5-autograde/looping.py
@@ -0,0 +1,51 @@
+import numpy as np
+import itertools
+
+def bacteriaGrowth(n0, alpha, K, N): 
+    """
+    Calculate time until bacteria growth exceed N starting from a population of n0 bacteria.
+    hints:
+        * You need to update the number of bacteria n0 within a loop
+    """
+    # TODO: 7 lines missing.
+    raise NotImplementedError("Implement function body")
+    return t
+
+def clusterAnalysis(reflectance):
+    reflectance = np.asarray(reflectance)
+    I1 = np.arange(len(reflectance)) % 2 == 1
+    while True:
+        m = np.asarray( [np.mean( reflectance[~I1] ),  np.mean( reflectance[I1] ) ] )
+        I1_ = np.argmin( np.abs( reflectance[:, np.newaxis] - m[np.newaxis, :] ), axis=1) == 1
+        if all(I1_ == I1):
+            break
+        I1 = I1_
+    return I1 + 1
+
+def fermentationRate(measuredRate, lowerBound, upperBound):
+    """
+    Compute and return the mean value of the rates in 'measuredRate'
+    which falls within lowerBound and upperBound.
+    """
+    mean_value = np.mean( [r for r in measuredRate if lowerBound < r < upperBound] )
+    return mean_value
+
+def removeIncomplete(id):
+    """
+    Hints:
+        * Take a look at the example in the exercise.
+    """
+    id = np.asarray(id)
+    id2 = []
+    for i, v in enumerate(id):
+        if len( [x for x in id if int(x) == int(v) ] ) == 3:
+            id2.append(v)
+    return np.asarray(id2)
+
+if __name__ == "__main__":
+    # I = clusterAnalysis([1.7, 1.6, 1.3, 1.3, 2.8, 1.4, 2.8, 2.6, 1.6, 2.7])
+    # print(I)
+    print(fermentationRate(np.array([20.1, 19.3, 1.1, 18.2, 19.7, 121.1, 20.3, 20.0]), 15, 25))
+    # print(removeIncomplete(np.array([1.3, 2.2, 2.3, 4.2, 5.1, 3.2, 5.3, 3.3, 2.1, 1.1, 5.2, 3.1])))
+    # Problem 1: Write a function which add two numbers
+    # clusterAnalysis([2, 1, 2, 4, 5])
diff --git a/examples/tmp/c02631week5/c02631week5-autograde/looping_tests.py b/examples/tmp/c02631week5/c02631week5-autograde/looping_tests.py
new file mode 100644
index 0000000000000000000000000000000000000000..f8076c26210356404b46a61e660ba7ee4617a51b
--- /dev/null
+++ b/examples/tmp/c02631week5/c02631week5-autograde/looping_tests.py
@@ -0,0 +1,138 @@
+from unitgrade.framework import Report, UTestCase
+from unitgrade import cache
+from unitgrade.evaluate import evaluate_report_student
+import numpy as np
+import looping
+from looping import bacteriaGrowth, clusterAnalysis, removeIncomplete, fermentationRate
+
+def trlist(x):
+    s = str(list(x))
+    if len(s) > 30:
+        s = s[:30] + "...]"
+    return s
+
+class Bacteria(UTestCase):
+    """ Bacteria growth rates """
+
+    def stest(self, n0, alpha, K, N):
+        g = bacteriaGrowth(n0=n0, alpha=alpha, K=K, N=N)
+        self.title = f"bacteriaGrowth({n0}, {alpha}, {K}, {N}) = {g} ?"
+        self.assertEqualC(g)
+
+    def test_growth1(self):
+        """ Hints:
+        * Make sure to frobulate the frobulator.
+        """
+        self.stest(100, 0.4, 1000, 500)
+
+    def test_growth2(self):
+        self.stest(10, 0.4, 1000, 500)
+
+    def test_growth3(self):
+        self.stest(100, 1.4, 1000, 500)
+
+    def test_growth4(self):
+        self.stest(100, 0.0004, 1000, 500)
+
+    def test_growth5(self):
+        """
+        hints:
+        * What happens when n0 > N? (in this case return t=0) """
+        self.stest(100, 0.4, 1000, 99)
+
+class ClusterAnalysis(UTestCase):
+    """ Cluster analysis """
+
+    def stest(self, n, seed):
+        np.random.seed(seed)
+        x = np.round(np.random.rand(n), 1)
+        I = clusterAnalysis(x)
+        self.title = f"clusterAnalysis({list(x)}) = {list(I)} ?"
+        self.assertEqualC(list(I))
+
+    def test_cluster1(self):
+        """ Hints:
+        * Make sure to frobulate the frobulator.
+        * Just try harder
+        """
+        self.stest(3, 10)
+
+    def test_cluster2(self):
+        self.stest(4, 146)
+
+    def test_cluster3(self):
+        self.stest(5, 12)
+
+    def test_cluster4(self):
+        """
+        Cluster analysis for tied lists
+        Hints:
+        * It may be that an observations has the same distance to the two clusters. Where do you assign it in this case?
+        """
+        x = np.array([10.0, 12.0, 10.0, 12.0, 9.0, 11.0, 11.0, 13.0])
+        self.assertEqualC(list(clusterAnalysis(x) ) )
+
+
+class RemoveIncomplete(UTestCase):
+    """ Remove incomplete IDs """
+
+    def stest(self, x):
+        I = list( removeIncomplete(x) )
+        self.title = f"removeId({trlist(x)}) = {trlist(I)} ?"
+        self.assertEqualC(I)
+
+    @cache
+    def rseq(self, max, n):
+        np.random.seed(42)
+        return np.random.randint(max, size=(n,) ) + (np.random.randint(2, size=(n,) )+1)/10
+
+    def test_incomplete1(self):
+        self.stest( np.array([1.3, 2.2, 2.3, 4.2, 5.1, 3.2, 5.3, 3.3, 2.1, 1.1, 5.2, 3.1]) )
+
+    def test_incomplete2(self):
+        self.stest( np.array([1.1, 1.2, 1.3, 2.1, 2.2, 2.3]) )
+
+    def test_incomplete3(self):
+        self.stest(np.array([5.1, 5.2, 4.1, 4.3, 4.2, 8.1, 8.2, 8.3]) )
+
+    def test_incomplete4(self):
+        self.stest(np.array([1.1, 1.3, 2.1, 2.2, 3.1, 3.3, 4.1, 4.2, 4.3]) )
+
+    def test_incomplete5(self):
+        self.stest(self.rseq(10, 40))
+
+
+class FermentationRate(UTestCase):
+    """ Fermentation rate """
+
+    def stest(self, x, lower, upper):
+        I =  fermentationRate(x, lower, upper)
+        s = trlist(x)
+        self.title = f"fermentationRate({s}, {lower}, {upper}) = {I:.3f} ?"
+        self.assertEqualC(I)
+
+    @cache
+    def rseq(self, max, n):
+        np.random.seed(42)
+        return np.random.randint(max, size=(n,) ) + (np.random.randint(3, size=(n,) )+1)/n
+
+    def test_rate1(self):
+        self.stest(np.array([20.1, 19.3, 1.1, 18.2, 19.7, 121.1, 20.3, 20.0]), 15, 25)
+
+    def test_rate2(self):
+        self.stest(np.array([20.1, 19.3, 1.1, 18.2, 19.7, 121.1, 20.3, 20.0]), 1, 200)
+
+    def test_rate3(self):
+        self.stest(np.array([1.75]), 1, 2)
+
+    def test_rate4(self):
+        self.stest(np.array([20.1, 19.3, 1.1, 18.2, 19.7, 121.1, 20.3, 20.0]), 18.2, 20)
+
+
+class Report1Flat(Report):
+    title = "02531 week 5: Looping"
+    questions = [(ClusterAnalysis, 10), (RemoveIncomplete, 10), (Bacteria, 10),  (FermentationRate, 10),]
+    pack_imports = [looping]
+
+if __name__ == "__main__":
+    evaluate_report_student(Report1Flat())
diff --git a/examples/tmp/c02631week5/c02631week5-autograde/looping_tests_grade.py b/examples/tmp/c02631week5/c02631week5-autograde/looping_tests_grade.py
new file mode 100644
index 0000000000000000000000000000000000000000..9037d81ab1e34fde882e4bd81e87e9a3459e3f9c
--- /dev/null
+++ b/examples/tmp/c02631week5/c02631week5-autograde/looping_tests_grade.py
@@ -0,0 +1,4 @@
+# looping_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('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')))
\ No newline at end of file
diff --git a/examples/tmp/c02631week5/c02631week5-autograde/unitgrade_data/Bacteria.pkl b/examples/tmp/c02631week5/c02631week5-autograde/unitgrade_data/Bacteria.pkl
new file mode 100644
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diff --git a/examples/tmp/c02631week5/c02631week5-autograde/unitgrade_data/ClusterAnalysis.pkl b/examples/tmp/c02631week5/c02631week5-autograde/unitgrade_data/ClusterAnalysis.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..033c5bee3c13ce520df34d0c6e2087a42bce5592
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diff --git a/examples/tmp/c02631week5/c02631week5-autograde/unitgrade_data/FermentationRate.pkl b/examples/tmp/c02631week5/c02631week5-autograde/unitgrade_data/FermentationRate.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..eed5f82e56d7350802692ee3ec7f71174e400b45
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diff --git a/examples/tmp/c02631week5/c02631week5-autograde/unitgrade_data/RemoveIncomplete.pkl b/examples/tmp/c02631week5/c02631week5-autograde/unitgrade_data/RemoveIncomplete.pkl
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diff --git a/examples/tmp/c02631week5/c02631week5-handout.zip b/examples/tmp/c02631week5/c02631week5-handout.zip
new file mode 100644
index 0000000000000000000000000000000000000000..219da213c70d11aa46a3176d2f6f56861c222184
Binary files /dev/null and b/examples/tmp/c02631week5/c02631week5-handout.zip differ
diff --git a/examples/tmp/c02631week5/c02631week5-handout/looping.py b/examples/tmp/c02631week5/c02631week5-handout/looping.py
new file mode 100644
index 0000000000000000000000000000000000000000..64db4f21b1aa35baa2ad7650bebee649c2581309
--- /dev/null
+++ b/examples/tmp/c02631week5/c02631week5-handout/looping.py
@@ -0,0 +1,51 @@
+import numpy as np
+import itertools
+
+def bacteriaGrowth(n0, alpha, K, N): 
+    """
+    Calculate time until bacteria growth exceed N starting from a population of n0 bacteria.
+    hints:
+        * You need to update the number of bacteria n0 within a loop
+    """
+    # TODO: 7 lines missing.
+    raise NotImplementedError("Implement function body")
+    return t
+
+def clusterAnalysis(reflectance):
+    reflectance = np.asarray(reflectance)
+    I1 = np.arange(len(reflectance)) % 2 == 1
+    while True:
+        m = np.asarray( [np.mean( reflectance[~I1] ),  np.mean( reflectance[I1] ) ] )
+        I1_ = np.argmin( np.abs( reflectance[:, np.newaxis] - m[np.newaxis, :] ), axis=1) == 1
+        if all(I1_ == I1):
+            break
+        I1 = I1_
+    return I1 + 1
+
+def fermentationRate(measuredRate, lowerBound, upperBound):
+    """
+    Compute and return the mean value of the rates in 'measuredRate'
+    which falls within lowerBound and upperBound.
+    """
+    mean_value = np.mean( [r for r in measuredRate if lowerBound < r < upperBound] )
+    return mean_value
+
+def removeIncomplete(id):
+    """
+    Hints:
+        * Take a look at the example in the exercise.
+    """
+    id = np.asarray(id)
+    id2 = []
+    for i, v in enumerate(id):
+        if len( [x for x in id if int(x) == int(v) ] ) == 3:
+            id2.append(v)
+    return np.asarray(id2)
+
+if __name__ == "__main__":
+    # I = clusterAnalysis([1.7, 1.6, 1.3, 1.3, 2.8, 1.4, 2.8, 2.6, 1.6, 2.7])
+    # print(I)
+    print(fermentationRate(np.array([20.1, 19.3, 1.1, 18.2, 19.7, 121.1, 20.3, 20.0]), 15, 25))
+    # print(removeIncomplete(np.array([1.3, 2.2, 2.3, 4.2, 5.1, 3.2, 5.3, 3.3, 2.1, 1.1, 5.2, 3.1])))
+    # Problem 1: Write a function which add two numbers
+    # clusterAnalysis([2, 1, 2, 4, 5])
diff --git a/examples/tmp/c02631week5/c02631week5-handout/looping_tests.py b/examples/tmp/c02631week5/c02631week5-handout/looping_tests.py
new file mode 100644
index 0000000000000000000000000000000000000000..f8076c26210356404b46a61e660ba7ee4617a51b
--- /dev/null
+++ b/examples/tmp/c02631week5/c02631week5-handout/looping_tests.py
@@ -0,0 +1,138 @@
+from unitgrade.framework import Report, UTestCase
+from unitgrade import cache
+from unitgrade.evaluate import evaluate_report_student
+import numpy as np
+import looping
+from looping import bacteriaGrowth, clusterAnalysis, removeIncomplete, fermentationRate
+
+def trlist(x):
+    s = str(list(x))
+    if len(s) > 30:
+        s = s[:30] + "...]"
+    return s
+
+class Bacteria(UTestCase):
+    """ Bacteria growth rates """
+
+    def stest(self, n0, alpha, K, N):
+        g = bacteriaGrowth(n0=n0, alpha=alpha, K=K, N=N)
+        self.title = f"bacteriaGrowth({n0}, {alpha}, {K}, {N}) = {g} ?"
+        self.assertEqualC(g)
+
+    def test_growth1(self):
+        """ Hints:
+        * Make sure to frobulate the frobulator.
+        """
+        self.stest(100, 0.4, 1000, 500)
+
+    def test_growth2(self):
+        self.stest(10, 0.4, 1000, 500)
+
+    def test_growth3(self):
+        self.stest(100, 1.4, 1000, 500)
+
+    def test_growth4(self):
+        self.stest(100, 0.0004, 1000, 500)
+
+    def test_growth5(self):
+        """
+        hints:
+        * What happens when n0 > N? (in this case return t=0) """
+        self.stest(100, 0.4, 1000, 99)
+
+class ClusterAnalysis(UTestCase):
+    """ Cluster analysis """
+
+    def stest(self, n, seed):
+        np.random.seed(seed)
+        x = np.round(np.random.rand(n), 1)
+        I = clusterAnalysis(x)
+        self.title = f"clusterAnalysis({list(x)}) = {list(I)} ?"
+        self.assertEqualC(list(I))
+
+    def test_cluster1(self):
+        """ Hints:
+        * Make sure to frobulate the frobulator.
+        * Just try harder
+        """
+        self.stest(3, 10)
+
+    def test_cluster2(self):
+        self.stest(4, 146)
+
+    def test_cluster3(self):
+        self.stest(5, 12)
+
+    def test_cluster4(self):
+        """
+        Cluster analysis for tied lists
+        Hints:
+        * It may be that an observations has the same distance to the two clusters. Where do you assign it in this case?
+        """
+        x = np.array([10.0, 12.0, 10.0, 12.0, 9.0, 11.0, 11.0, 13.0])
+        self.assertEqualC(list(clusterAnalysis(x) ) )
+
+
+class RemoveIncomplete(UTestCase):
+    """ Remove incomplete IDs """
+
+    def stest(self, x):
+        I = list( removeIncomplete(x) )
+        self.title = f"removeId({trlist(x)}) = {trlist(I)} ?"
+        self.assertEqualC(I)
+
+    @cache
+    def rseq(self, max, n):
+        np.random.seed(42)
+        return np.random.randint(max, size=(n,) ) + (np.random.randint(2, size=(n,) )+1)/10
+
+    def test_incomplete1(self):
+        self.stest( np.array([1.3, 2.2, 2.3, 4.2, 5.1, 3.2, 5.3, 3.3, 2.1, 1.1, 5.2, 3.1]) )
+
+    def test_incomplete2(self):
+        self.stest( np.array([1.1, 1.2, 1.3, 2.1, 2.2, 2.3]) )
+
+    def test_incomplete3(self):
+        self.stest(np.array([5.1, 5.2, 4.1, 4.3, 4.2, 8.1, 8.2, 8.3]) )
+
+    def test_incomplete4(self):
+        self.stest(np.array([1.1, 1.3, 2.1, 2.2, 3.1, 3.3, 4.1, 4.2, 4.3]) )
+
+    def test_incomplete5(self):
+        self.stest(self.rseq(10, 40))
+
+
+class FermentationRate(UTestCase):
+    """ Fermentation rate """
+
+    def stest(self, x, lower, upper):
+        I =  fermentationRate(x, lower, upper)
+        s = trlist(x)
+        self.title = f"fermentationRate({s}, {lower}, {upper}) = {I:.3f} ?"
+        self.assertEqualC(I)
+
+    @cache
+    def rseq(self, max, n):
+        np.random.seed(42)
+        return np.random.randint(max, size=(n,) ) + (np.random.randint(3, size=(n,) )+1)/n
+
+    def test_rate1(self):
+        self.stest(np.array([20.1, 19.3, 1.1, 18.2, 19.7, 121.1, 20.3, 20.0]), 15, 25)
+
+    def test_rate2(self):
+        self.stest(np.array([20.1, 19.3, 1.1, 18.2, 19.7, 121.1, 20.3, 20.0]), 1, 200)
+
+    def test_rate3(self):
+        self.stest(np.array([1.75]), 1, 2)
+
+    def test_rate4(self):
+        self.stest(np.array([20.1, 19.3, 1.1, 18.2, 19.7, 121.1, 20.3, 20.0]), 18.2, 20)
+
+
+class Report1Flat(Report):
+    title = "02531 week 5: Looping"
+    questions = [(ClusterAnalysis, 10), (RemoveIncomplete, 10), (Bacteria, 10),  (FermentationRate, 10),]
+    pack_imports = [looping]
+
+if __name__ == "__main__":
+    evaluate_report_student(Report1Flat())
diff --git a/examples/tmp/c02631week5/c02631week5-handout/unitgrade_data/Bacteria.pkl b/examples/tmp/c02631week5/c02631week5-handout/unitgrade_data/Bacteria.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..8c60a9854d0cd0cf8e7260e67682e4ee7602a653
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diff --git a/examples/tmp/c02631week5/c02631week5-handout/unitgrade_data/ClusterAnalysis.pkl b/examples/tmp/c02631week5/c02631week5-handout/unitgrade_data/ClusterAnalysis.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..033c5bee3c13ce520df34d0c6e2087a42bce5592
Binary files /dev/null and b/examples/tmp/c02631week5/c02631week5-handout/unitgrade_data/ClusterAnalysis.pkl differ
diff --git a/examples/tmp/c02631week5/c02631week5-handout/unitgrade_data/FermentationRate.pkl b/examples/tmp/c02631week5/c02631week5-handout/unitgrade_data/FermentationRate.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..eed5f82e56d7350802692ee3ec7f71174e400b45
Binary files /dev/null and b/examples/tmp/c02631week5/c02631week5-handout/unitgrade_data/FermentationRate.pkl differ
diff --git a/examples/tmp/c02631week5/c02631week5-handout/unitgrade_data/RemoveIncomplete.pkl b/examples/tmp/c02631week5/c02631week5-handout/unitgrade_data/RemoveIncomplete.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..96849205c4cdc1b4105838f051c08ba48ddccb0e
Binary files /dev/null and b/examples/tmp/c02631week5/c02631week5-handout/unitgrade_data/RemoveIncomplete.pkl differ
diff --git a/examples/tmp/c02631week5/c02631week5.rb b/examples/tmp/c02631week5/c02631week5.rb
new file mode 100644
index 0000000000000000000000000000000000000000..7fb4d2cca4f73d960a75f8648b093970002a8bd0
--- /dev/null
+++ b/examples/tmp/c02631week5/c02631week5.rb
@@ -0,0 +1,11 @@
+require "AssessmentBase.rb"
+
+module C02631week5
+  include AssessmentBase
+
+  def assessmentInitialize(course)
+    super("c02631week5",course)
+    @problems = []
+  end
+
+end
\ No newline at end of file
diff --git a/examples/tmp/c02631week5/c02631week5.yml b/examples/tmp/c02631week5/c02631week5.yml
new file mode 100644
index 0000000000000000000000000000000000000000..4f6c80799610e6363f5544b3f9217a66507f9c62
--- /dev/null
+++ b/examples/tmp/c02631week5/c02631week5.yml
@@ -0,0 +1,38 @@
+---
+
+general:
+  name: c02631week5
+  description: ' Hand in the file looping.py. You can find the full example, including solution, at https://gitlab.compute.dtu.dk/tuhe/unitgrade_private/-/tree/master/examples/02631/instructor/week5 '
+  display_name: '02531 week 5: Looping'
+  handin_filename: looping.py
+  handin_directory: handin
+  max_grace_days: 0
+  handout: c02631week5-handout.zip
+  writeup: writeup/writeup.html
+  max_submissions: -1
+  disable_handins: false
+  max_size: 2
+  has_svn: false
+  category_name: Lab
+problems:
+
+  - name: Unitgrade score
+    description: 'Score obtained by automatic grading'
+    max_score: 40
+    optional: false
+
+  - name: Written feedback
+    description: 'Written (TA) feedback'
+    max_score: 0
+    optional: true
+
+autograder:
+  autograde_timeout: 180
+  autograde_image: tango_python_tue
+  release_score: true
+
+# problems:
+# - name: Correctness
+#  description: ''
+#  max_score: 100.0
+#  optional: false
\ No newline at end of file
diff --git a/examples/autolab_token_upload/tmp/cs102/src/Makefile b/examples/tmp/c02631week5/src/Makefile
similarity index 100%
rename from examples/autolab_token_upload/tmp/cs102/src/Makefile
rename to examples/tmp/c02631week5/src/Makefile
diff --git a/examples/tmp/c02631week5/src/Makefile-handout b/examples/tmp/c02631week5/src/Makefile-handout
new file mode 100644
index 0000000000000000000000000000000000000000..6d094e3a3869dfe9ee9e51a06150c6999c402286
--- /dev/null
+++ b/examples/tmp/c02631week5/src/Makefile-handout
@@ -0,0 +1,7 @@
+# Makefile for the Hello Lab
+all:
+	echo "Makefile called... it is empty so far. "
+	#gcc hello3.c -o hello3
+
+clean:
+	rm -rf *~ hello3
diff --git a/examples/autolab_token_upload/tmp/cs102/src/README b/examples/tmp/c02631week5/src/README
similarity index 100%
rename from examples/autolab_token_upload/tmp/cs102/src/README
rename to examples/tmp/c02631week5/src/README
diff --git a/examples/tmp/c02631week5/src/README-handout b/examples/tmp/c02631week5/src/README-handout
new file mode 100644
index 0000000000000000000000000000000000000000..8eea4bef3abb4665581173c4843b6155b3dc59d2
--- /dev/null
+++ b/examples/tmp/c02631week5/src/README-handout
@@ -0,0 +1,15 @@
+This directory contains all of the code files for the Hello Lab,
+including the files that are handed out to students.
+
+Files:
+
+# Autograder and solution files
+Makefile                Makefile and ...
+README                  ... README for this directory
+driver.sh*              Autograder
+hello.c                 Solution hello.c file
+
+# Files that are handed out to students
+Makefile-handout        Makefile and ...
+README-handout          ... README handed out to students
+hello.c-handout         Blank hello.c file handed out to students
diff --git a/examples/tmp/c02631week5/src/Report1Flat_handin.token b/examples/tmp/c02631week5/src/Report1Flat_handin.token
new file mode 100644
index 0000000000000000000000000000000000000000..7321e613d9ff3038f3cdedd5e032892f4f7e3d5b
--- /dev/null
+++ b/examples/tmp/c02631week5/src/Report1Flat_handin.token
@@ -0,0 +1,204 @@
+# This file contains your results. Do not edit its content. Simply upload it as it is.
+---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
+e7013fb67d727792b52d542b3f796aa1b891444bcab420b531e2e1e606d376bc99bfc60148f0ad48cc227018b78e93e9dfe5f1422bd399b843fb2a0272ae78d7 35852
+---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
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+NiWJslb6MXkBi6WVSR61LuAxxL47NuhKG5MtJPFAPJ9tOFRvALgaAdaBeRAyAaoRb8FWS/HaUIvPFQzHxokxo+rbGLXAZ8YzlreCN8sS8renw+RGkdL1BVCAIOu1bLgSyEx1zTuGDWHzGlRyowb72/KeclcAG2mmY3nuLjQ1HvNFv1vvW3B5
+PiFHBt5f4wdkzILh8+8PfBdZtHt4sMMLN6Jbe6gmLEmXsF6BLEamUYqG9UktBodpMR77bM82OHOUjeFHp8I7KpOxavZylFcu5s8AsD3Safn+Iq36hk0dUJ9WOqwiFg5IfTqIAuahcutcxmqHaREsja4KeJ8UZqs3zLHfdmvZX/YCjd7+yXfU
+ElXcb3BsvxQWVgp+O5naQlhl8Mb/fZqFTbLxHhODXTWB/ZnDCh0XUQ19zZ5liVuZSU7F+naaMe7x1RgLefGJ3f2dAwK0Ea/Jy/R0TUd/mF4L375Anm2nBsg6iTEfX6Pm1q3+cKs87mnDdMlU+nSrA0kot5NXnUtq7JCwHawjfnUoaqtlXQKJ
+GvWnLnRjpat2eJNC3vuQ2JmKpCd+M2OMv+W50T6BQW4QkDfditI0nzhilRrm5AsrV5tGPqlwNkSKl4rjhe3/eLbTgqmFTn4cLxTFkGEXq0lwJ/8KerG9bY4FZsaJwcovBdIYJtHwy4LaxLm1u8AnD8aVHHb52XDj3TuYEkApQ0ZDZl1DkYCM
+Vq0A3ZbkjnvSPmhD8FmQm5z9gxbfLHLpYi6Lba/Ug5zh0LwlO2JY/8VMP7QkZ2R39tM5/qWBHlMltnvbBhj9GIIZeqfLQKdHFPXrk8eBhF3H9JEL+12r9tekTyyFR93/tsr0L5gzBhM4trThPabC6qraufDlXxwv66xsyHnCztgEUdROcxEI
+IBBYN0N4lUeYMWp2oFkrpLd3feDyk0YXkabYLUXPLIk4ztPLmBCUBGus+cPxHwHOgJ797ZjoNOYIh3iJmsEB4V0p6TjHU09fv6AmO+QPPlOT5Htz/obqlaOEiS5eL6wqP2sRBCgvzwsBQogY9vbO3ymYF2I91YRyJl+L8wsTSxMcGPyDN0Iu
+Xaf97ZhDj+OADkVkF03DxFCpgGNQdDEpMfx6BVOJcCDdjmtASteHKteOjuTL/tFoz/Pm5XmXa6rIn4Loa5uCfwZRwa9ht/PJPRMm3D6w+bFTWlvCXnRVA3SZ3LyVDKvNc+jTOk7PaLHFLJzgH6Tz+fpmOutToTUZzTzqq7r2h+X5TX38x3xz
+9tpM4EL+0MeYBEw4+T5imRqpR1Oq65qxpDhC0tIjstL/eNN4GbQUrWWG0qbV3vFM3NnGNnFY1smH1iqr1IfOMM/kVnRHcO6WmKdFKhNUGBEcSap7pgp+kWUlsvaLpvnAhGhnqfGNOiEZoXlP++kC3Hwhf/E9QlckK6lZny/VjBUvL5KCV19w
+kbHlFf7r3rk7lHz/2GfVIARdlgPEc9Wx4/P20nGRFPvLt33AjXNUBrp/YnrNOXF/xn8Hq7IpmZuSR6RREpB2aoEgZ2lTBWugOYJ5VPo5achD1XPZhAvXiX345ECEKrFlK0fsboX15Gz3h6x5qwASA2uaBDICvuPBIlG95eu9qd2+wS/bUw9R
+k9922cCIzgFcZiQ8EW0pddkyzjDnusxHa01mM3cRDwiIxdhpM2zmy8tMwfVWDIpb3N7bXkS51PPZYsN7MBNNbHfGbIO8tDt2tvte8WGg9CXdgmFCA4gl5oHAXCF9L7skPJQVw72MacoDI6yAXtaFGwN4QYC2H68U6q+sUAAAA3DNbkGtCE68
+AAePRAavvAvOwab2xxGf7AgAAAAAEWVo=.
\ No newline at end of file
diff --git a/examples/autolab_token_upload/tmp/cs101/src/docker_helpers.py b/examples/tmp/c02631week5/src/docker_helpers.py
similarity index 68%
rename from examples/autolab_token_upload/tmp/cs101/src/docker_helpers.py
rename to examples/tmp/c02631week5/src/docker_helpers.py
index d25500f840df4acd5522542811fb6086a8b9dc7b..0b82a931c0268a356ee54f777fbc7ed0ef095e3f 100644
--- a/examples/autolab_token_upload/tmp/cs101/src/docker_helpers.py
+++ b/examples/tmp/c02631week5/src/docker_helpers.py
@@ -7,7 +7,6 @@ import io
 import subprocess
 import urllib.request
 
-
 def download_docker_images(destination=None):
     if destination is None:
         destination = os.getcwd()
@@ -32,24 +31,26 @@ def download_docker_images(destination=None):
             else:
                 print("> Extracting docker image", os.path.basename(f[:-1]), "to", dest)
                 shutil.copytree(tmp_dir, dest)
-        # zf.extract(f, path=destination)
-    a = 234
 
 
-def compile_docker_image(Dockerfile, tag=None):
+def compile_docker_image(Dockerfile, tag=None, no_cache=False):
     assert os.path.isfile(Dockerfile)
     base = os.path.dirname(Dockerfile)
     if tag == None:
         tag = os.path.basename(base)
-    os.system(f"cd {base} && docker build --tag {tag} .")
+    cmd = f"cd {base} && docker build {'--no-cache' if no_cache else ''} --tag {tag} ."
+    os.system(cmd)
     return tag
 
 
 def student_token_file_runner(host_tmp_dir, student_token_file, instructor_grade_script, grade_file_relative_destination):
     """
-
+    This code is used to run student unitgrade tests (i.e., a .token file).
     Use by autolab code.
 
+    It accepts a student .token file which is extracted, the 'correct' instructor grade script is copied
+    into it, and it is then run.
+
     :param Dockerfile_location:
     :param host_tmp_dir:
     :param student_token_file:
@@ -59,50 +60,46 @@ def student_token_file_runner(host_tmp_dir, student_token_file, instructor_grade
     """
     assert os.path.exists(student_token_file)
     assert os.path.exists(instructor_grade_script)
-    start = time.time()
     from unitgrade_private import load_token
+    start = time.time()
     results, _ = load_token(student_token_file)
-    # with open(student_token_file, 'rb') as f:
-    #     results = pickle.load(f)
     sources = results['sources'][0]
-
     with io.BytesIO(sources['zipfile']) as zb:
         with zipfile.ZipFile(zb) as zip:
             zip.extractall(host_tmp_dir)
-    # Done extracting the zip file! Now time to move the (good) report test class into the location.
 
+    # Done extracting the zip file! Now time to move the (good) report test class into the location.
     gscript = instructor_grade_script
     print(f"{sources['report_relative_location']=}")
     print(f"{sources['name']=}")
-
     print("Now in docker_helpers.py")
     print(f'{gscript=}')
     print(f'{instructor_grade_script=}')
     gscript_destination = host_tmp_dir + "/" + grade_file_relative_destination
     print(f'{gscript_destination=}')
-
     shutil.copy(gscript, gscript_destination)
-
     # Now everything appears very close to being set up and ready to roll!.
     d = os.path.normpath(grade_file_relative_destination).split(os.sep)
     d = d[:-1] + [os.path.basename(instructor_grade_script)[:-3]]
     pycom = ".".join(d)
-
     """
     docker run -v c:/Users/tuhe/Documents/2021/python-docker/tmp:/app python-docker python3 -m cs202courseware.ug2report1_grade
     """
-    pycom = "python3 -m " + pycom # pycom[:-3]
+    pycom = "python3 -m " + pycom
     print(f"{pycom=}")
-
     token_location = host_tmp_dir + "/" + os.path.dirname( grade_file_relative_destination ) + "/*.token"
-
     elapsed = time.time() - start
     # print("Elapsed time is", elapsed)
-    return pycom, token_location
+    return pycom, host_tmp_dir, token_location
 
 
-def docker_run_token_file(Dockerfile_location, host_tmp_dir, student_token_file, tag=None, instructor_grade_script=None, fix_user=True):
+def docker_run_token_file(Dockerfile_location, host_tmp_dir, student_token_file, tag=None, instructor_grade_script=None,
+                          fix_user=None,
+                          # grade_script_relative_destination_dir=None, # The relative location relative to the top-dir containing the package. Example: irlc/project1
+                          xvfb=True):
     """
+    xvfb: Control whether to use X-windows. Works on linux. This seems like a good idea when using e.g. gym.
+
     This thingy works:
 
     To build the image, run:
@@ -113,10 +110,19 @@ def docker_run_token_file(Dockerfile_location, host_tmp_dir, student_token_file,
     docker run -v c:/Users/tuhe/Documents/2021/python-docker/tmp:/app python-docker > output.log
 
     """
+    Dockerfile_location = Dockerfile_location.replace("\\", "/")
+    host_tmp_dir = host_tmp_dir.replace("\\", "/")
+    student_token_file = student_token_file.replace("\\", "/")
+
     # A bunch of tests. This is going to be great!
+    Dockerfile_location = os.path.abspath(Dockerfile_location)
     assert os.path.exists(Dockerfile_location)
+
     start = time.time()
 
+    if fix_user is None:
+        fix_user = os.name != 'nt'  # On Linux, this should probably be true to avoid problem with edit-rights of docker-created files.
+
     # with open(student_token_file, 'rb') as f:
     #     results = pickle.load(f)
     from unitgrade_private import load_token
@@ -133,8 +139,19 @@ def docker_run_token_file(Dockerfile_location, host_tmp_dir, student_token_file,
     # Done extracting the zip file! Now time to move the (good) report test class into the location.
     gscript = instructor_grade_script
 
-    student_grade_script = host_tmp_dir + "/" + sources['report_relative_location']
-    instructor_grade_script = os.path.dirname(student_grade_script) + "/"+os.path.basename(gscript)
+    # if grade_script_relative_destination_dir is None:
+    #     student_grade_script = host_tmp_dir + "/" + sources['report_relative_location']
+    # else:
+    #     student_grade_script = host_tmp_dir + "/" + grade_script_relative_destination_dir
+    # Get relative location from first line of the grade script.
+    with open(instructor_grade_script, 'r') as f:
+        student_grade_script_dir = os.path.dirname( host_tmp_dir + "/" + f.read().splitlines()[0][1:].strip() )
+    print("student_grade_script", student_grade_script_dir)
+
+
+
+    student_grade_script_dir = student_grade_script_dir.replace("\\", "/")
+    instructor_grade_script = student_grade_script_dir + "/"+os.path.basename(gscript)
     shutil.copy(gscript, instructor_grade_script)
 
     """
@@ -146,14 +163,20 @@ def docker_run_token_file(Dockerfile_location, host_tmp_dir, student_token_file,
         dockname = tag
 
     tmp_grade_file =  sources['name'] + "/" + sources['report_relative_location']
+    tmp_grade_file = tmp_grade_file.replace("\\", "/")
 
-    pycom = ".".join( sources['report_module_specification'][:-1] + [os.path.basename(gscript)[:-3],] )
+    # pycom = ".".join( sources['report_module_specification'][:-1] + [os.path.basename(gscript)[:-3],] )
+    pycom = ".".join(os.path.relpath(instructor_grade_script, host_tmp_dir)[:-3].split("/"))
     pycom = "python3 -m " + pycom
 
     if fix_user:
         user_cmd = ' --user "$(id -u):$(id -g)" '
     else:
         user_cmd = ''
+
+    if xvfb:
+        user_cmd = " -e DISPLAY=:0 -v /tmp/.X11-unix:/tmp/.X11-unix " + user_cmd
+
     tmp_path = os.path.abspath(host_tmp_dir).replace("\\", "/")
     dcom = f"docker run {user_cmd} -v {tmp_path}:/home {dockname} {pycom}"
     cdcom = f"cd {os.path.dirname(Dockerfile_location)}"
@@ -162,11 +185,14 @@ def docker_run_token_file(Dockerfile_location, host_tmp_dir, student_token_file,
     print(fcom)
     init = time.time() - start
     # thtools.execute_command(fcom.split())
-    subprocess.check_output(fcom, shell=True).decode("utf-8")
+    out = subprocess.check_output(fcom, shell=True).decode("utf-8")
     host_tmp_dir +"/" + os.path.dirname(tmp_grade_file) + "/"
     tokens = glob.glob( os.path.dirname(instructor_grade_script) + "/*.token" )
     for t in tokens:
         print("Source image produced token", t)
     elapsed = time.time() - start
     print("Elapsed time is", elapsed, f"({init=} seconds)")
+    if len(tokens) != 1:
+        print("Wrong number of tokens produced:", len(tokens))
+        print(out)
     return tokens[0]
diff --git a/examples/tmp/c02631week5/src/driver.sh b/examples/tmp/c02631week5/src/driver.sh
new file mode 100644
index 0000000000000000000000000000000000000000..05a006e95e416fa5d5088f1d61479f73901588c2
--- /dev/null
+++ b/examples/tmp/c02631week5/src/driver.sh
@@ -0,0 +1,33 @@
+#!/bin/bash
+# driver.sh - The simplest autograder we could think of. It checks
+#   that students can write a C program that compiles, and then
+#   executes with an exit status of zero.
+#   Usage: ./driver.sh
+
+# Compile the code
+# echo "Compiling hello3.c"
+# python3 -c "print('Hello world from python 2')"
+# python3 --version
+python3 driver_python.py
+
+#(make clean; make)
+#status=$?
+#if [ ${status} -ne 0 ]; then
+#    echo "Failure: Unable to compile hello3.c (return status = ${status})"
+#    echo "{\"scores\": {\"Correctness\": 0}}"
+#    exit
+#fi
+#
+# Run the code
+#echo "Running ./hello3"
+#./hello3
+#status=$?
+#if [ ${status} -eq 0 ]; then
+#    echo "Success: ./hello3 runs with an exit status of 0"
+#    echo "{\"scores\": {\"Correctness\": 100}}"
+#else
+#    echo "Failure: ./hello fails or returns nonzero exit status of ${status}"
+#    echo "{\"scores\": {\"Correctness\": 0}}"
+#fi
+
+exit
diff --git a/examples/tmp/c02631week5/src/driver.sh-handout b/examples/tmp/c02631week5/src/driver.sh-handout
new file mode 100644
index 0000000000000000000000000000000000000000..05a006e95e416fa5d5088f1d61479f73901588c2
--- /dev/null
+++ b/examples/tmp/c02631week5/src/driver.sh-handout
@@ -0,0 +1,33 @@
+#!/bin/bash
+# driver.sh - The simplest autograder we could think of. It checks
+#   that students can write a C program that compiles, and then
+#   executes with an exit status of zero.
+#   Usage: ./driver.sh
+
+# Compile the code
+# echo "Compiling hello3.c"
+# python3 -c "print('Hello world from python 2')"
+# python3 --version
+python3 driver_python.py
+
+#(make clean; make)
+#status=$?
+#if [ ${status} -ne 0 ]; then
+#    echo "Failure: Unable to compile hello3.c (return status = ${status})"
+#    echo "{\"scores\": {\"Correctness\": 0}}"
+#    exit
+#fi
+#
+# Run the code
+#echo "Running ./hello3"
+#./hello3
+#status=$?
+#if [ ${status} -eq 0 ]; then
+#    echo "Success: ./hello3 runs with an exit status of 0"
+#    echo "{\"scores\": {\"Correctness\": 100}}"
+#else
+#    echo "Failure: ./hello fails or returns nonzero exit status of ${status}"
+#    echo "{\"scores\": {\"Correctness\": 0}}"
+#fi
+
+exit
diff --git a/examples/tmp/c02631week5/src/driver_python.py b/examples/tmp/c02631week5/src/driver_python.py
new file mode 100644
index 0000000000000000000000000000000000000000..286f74612cf1a77248e066f52be1ec0b739ec485
--- /dev/null
+++ b/examples/tmp/c02631week5/src/driver_python.py
@@ -0,0 +1,92 @@
+import os
+import glob
+import shutil
+import sys
+import subprocess
+from unitgrade_private.autolab.autolab import format_autolab_json
+from unitgrade_private.docker_helpers import student_token_file_runner
+from unitgrade_private import load_token
+import time
+import unitgrade_private
+
+verbose = False
+tag = "[driver_python.py]"
+
+if not verbose:
+    print("="*10)
+    print(tag, "Starting unitgrade evaluation...")
+import unitgrade
+print(tag, "Unitgrade version", unitgrade.version.__version__)
+print(tag, "Unitgrade-devel version", unitgrade_private.version.__version__)
+
+
+sys.stderr = sys.stdout
+wdir = os.getcwd()
+
+def pfiles():
+    print("> Files in dir:")
+    for f in glob.glob(wdir + "/*"):
+        print(f)
+    print("---")
+
+handin_filename = "looping.py"
+student_token_file = 'Report1Flat_handin.token'
+instructor_grade_script = 'looping_tests_grade.py'
+grade_file_relative_destination = "looping_tests_grade.py"
+host_tmp_dir = wdir + "/tmp"
+homework_file = "looping.py"
+# homework_file = "looping.py"
+student_should_upload_token = False # Add these from template.
+
+if not verbose:
+    pfiles()
+    print(f"{host_tmp_dir=}")
+    print(f"{student_token_file=}")
+    print(f"{instructor_grade_script=}")
+
+print("Current directory", os.getcwd())
+print("student_token_file", student_token_file)
+for f in glob.glob(os.getcwd() + "/*"):
+    print(f)
+try:
+    # This is how we get the student file structure.
+    command, host_tmp_dir, token = student_token_file_runner(host_tmp_dir, student_token_file, instructor_grade_script,
+                                                             grade_file_relative_destination)
+    # run the stuff.
+    if not student_should_upload_token:
+        """ Add the student homework to the right location. """
+        print("Moving uploaded file from", os.path.basename(handin_filename), "to", handin_filename)
+        # print("file exists?", os.path.isfile(os.path.basename(handin_filename)))
+        shutil.move(os.path.basename(handin_filename), host_tmp_dir + "/" + handin_filename)
+
+    command = f"cd tmp && {command} --noprogress --autolab"
+    def rcom(cm):
+        rs = subprocess.run(cm, capture_output=True, text=True, shell=True)
+        print(rs.stdout)
+        if len(rs.stderr) > 0:
+            print(tag, "There were errors in executing the file:")
+            print(rs.stderr)
+
+    start = time.time()
+    rcom(command)
+    ls = glob.glob(token)
+    f = ls[0]
+    results, _ = load_token(ls[0])
+
+except Exception as e:
+    if not student_should_upload_token:
+        print(tag, "A major error occured while starting unitgrade.")
+        print(tag, "This can mean the grader itself is badly configured, or (more likely) that you submitted a completely wrong file.")
+        print(tag, "The following is the content of the file you uploaded; is it what you expect?")
+        with open(host_tmp_dir + "/" + handin_filename, 'r') as f:
+            print( f.read() )
+        print(" ")
+        print(tag, "If you cannot resolve the problem, please contact the teacher and include details such as this log, as well as the file you submitted.")
+
+    raise e
+
+if verbose:
+    print(tag, f"{token=}")
+    print(tag, results['total'])
+
+format_autolab_json(results)
\ No newline at end of file
diff --git a/examples/tmp/c02631week5/src/driver_python.py-handout b/examples/tmp/c02631week5/src/driver_python.py-handout
new file mode 100644
index 0000000000000000000000000000000000000000..286f74612cf1a77248e066f52be1ec0b739ec485
--- /dev/null
+++ b/examples/tmp/c02631week5/src/driver_python.py-handout
@@ -0,0 +1,92 @@
+import os
+import glob
+import shutil
+import sys
+import subprocess
+from unitgrade_private.autolab.autolab import format_autolab_json
+from unitgrade_private.docker_helpers import student_token_file_runner
+from unitgrade_private import load_token
+import time
+import unitgrade_private
+
+verbose = False
+tag = "[driver_python.py]"
+
+if not verbose:
+    print("="*10)
+    print(tag, "Starting unitgrade evaluation...")
+import unitgrade
+print(tag, "Unitgrade version", unitgrade.version.__version__)
+print(tag, "Unitgrade-devel version", unitgrade_private.version.__version__)
+
+
+sys.stderr = sys.stdout
+wdir = os.getcwd()
+
+def pfiles():
+    print("> Files in dir:")
+    for f in glob.glob(wdir + "/*"):
+        print(f)
+    print("---")
+
+handin_filename = "looping.py"
+student_token_file = 'Report1Flat_handin.token'
+instructor_grade_script = 'looping_tests_grade.py'
+grade_file_relative_destination = "looping_tests_grade.py"
+host_tmp_dir = wdir + "/tmp"
+homework_file = "looping.py"
+# homework_file = "looping.py"
+student_should_upload_token = False # Add these from template.
+
+if not verbose:
+    pfiles()
+    print(f"{host_tmp_dir=}")
+    print(f"{student_token_file=}")
+    print(f"{instructor_grade_script=}")
+
+print("Current directory", os.getcwd())
+print("student_token_file", student_token_file)
+for f in glob.glob(os.getcwd() + "/*"):
+    print(f)
+try:
+    # This is how we get the student file structure.
+    command, host_tmp_dir, token = student_token_file_runner(host_tmp_dir, student_token_file, instructor_grade_script,
+                                                             grade_file_relative_destination)
+    # run the stuff.
+    if not student_should_upload_token:
+        """ Add the student homework to the right location. """
+        print("Moving uploaded file from", os.path.basename(handin_filename), "to", handin_filename)
+        # print("file exists?", os.path.isfile(os.path.basename(handin_filename)))
+        shutil.move(os.path.basename(handin_filename), host_tmp_dir + "/" + handin_filename)
+
+    command = f"cd tmp && {command} --noprogress --autolab"
+    def rcom(cm):
+        rs = subprocess.run(cm, capture_output=True, text=True, shell=True)
+        print(rs.stdout)
+        if len(rs.stderr) > 0:
+            print(tag, "There were errors in executing the file:")
+            print(rs.stderr)
+
+    start = time.time()
+    rcom(command)
+    ls = glob.glob(token)
+    f = ls[0]
+    results, _ = load_token(ls[0])
+
+except Exception as e:
+    if not student_should_upload_token:
+        print(tag, "A major error occured while starting unitgrade.")
+        print(tag, "This can mean the grader itself is badly configured, or (more likely) that you submitted a completely wrong file.")
+        print(tag, "The following is the content of the file you uploaded; is it what you expect?")
+        with open(host_tmp_dir + "/" + handin_filename, 'r') as f:
+            print( f.read() )
+        print(" ")
+        print(tag, "If you cannot resolve the problem, please contact the teacher and include details such as this log, as well as the file you submitted.")
+
+    raise e
+
+if verbose:
+    print(tag, f"{token=}")
+    print(tag, results['total'])
+
+format_autolab_json(results)
\ No newline at end of file
diff --git a/examples/tmp/c02631week5/src/looping.py b/examples/tmp/c02631week5/src/looping.py
new file mode 100644
index 0000000000000000000000000000000000000000..7321e613d9ff3038f3cdedd5e032892f4f7e3d5b
--- /dev/null
+++ b/examples/tmp/c02631week5/src/looping.py
@@ -0,0 +1,204 @@
+# This file contains your results. Do not edit its content. Simply upload it as it is.
+---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
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+---------------------------------------------------------------------- ..ooO0Ooo.. ----------------------------------------------------------------------
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\ No newline at end of file
diff --git a/examples/tmp/c02631week5/src/looping_tests_grade.py b/examples/tmp/c02631week5/src/looping_tests_grade.py
new file mode 100644
index 0000000000000000000000000000000000000000..9037d81ab1e34fde882e4bd81e87e9a3459e3f9c
--- /dev/null
+++ b/examples/tmp/c02631week5/src/looping_tests_grade.py
@@ -0,0 +1,4 @@
+# looping_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('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')))
\ No newline at end of file
diff --git a/examples/tmp/c02631week5/writeup/writeup.html b/examples/tmp/c02631week5/writeup/writeup.html
new file mode 100644
index 0000000000000000000000000000000000000000..d81ace4b8563a838e174c23b501294628c389eb0
--- /dev/null
+++ b/examples/tmp/c02631week5/writeup/writeup.html
@@ -0,0 +1,5 @@
+
+    <html><body>
+    To hand in this assignment, upload the file <b>looping.py</b>
+    </body></html>    
+    
\ No newline at end of file
diff --git a/src/unitgrade_private/autolab/autolab.py b/src/unitgrade_private/autolab/autolab.py
index dee673b593ac0aed3234fe77d3079104c3ab564c..2a2f712f27a32a606f4ab5bc4b5441dcbd61c26b 100644
--- a/src/unitgrade_private/autolab/autolab.py
+++ b/src/unitgrade_private/autolab/autolab.py
@@ -73,11 +73,13 @@ def paths2report(base_path, report_file):
 def run_relative(file, base):
     relative = os.path.relpath(file, base)
     mod = os.path.normpath(relative)[:-3].split(os.sep)
+    print(mod)
     for pyver in ["python", "python3", "python3.9"]:
-        code = os.system(f"cd {base} && {pyver} -m {'.'.join(mod)}")
+        cmd = f"cd {base} && {pyver} -m {'.'.join(mod)}"
+        code = os.system(cmd)
         if code == 0:
             return code
-    raise Exception("Could not run the file", file, "in dir", dir)
+    raise Exception("Could not run the file", file, "in dir", base, "using code", cmd)
 
 def new_deploy_assignment(base_name, INSTRUCTOR_BASE, INSTRUCTOR_GRADE_FILE, STUDENT_BASE,
                           STUDENT_GRADE_FILE = None, # Defaults to instructor grade file.
@@ -89,6 +91,9 @@ def new_deploy_assignment(base_name, INSTRUCTOR_BASE, INSTRUCTOR_GRADE_FILE, STU
                           description=None):
     if STUDENT_GRADE_FILE is None:
         STUDENT_GRADE_FILE = INSTRUCTOR_GRADE_FILE
+        run_relative(STUDENT_GRADE_FILE, INSTRUCTOR_BASE) # Generate token in the instructor-directory. The student directory will not work.
+    else:
+        run_relative(STUDENT_GRADE_FILE, STUDENT_BASE)
 
     """ Check we got correct paths. """
     assert os.path.isfile(INSTRUCTOR_GRADE_FILE)
@@ -128,7 +133,6 @@ def new_deploy_assignment(base_name, INSTRUCTOR_BASE, INSTRUCTOR_GRADE_FILE, STU
     ss = ", ".join([f'"{t}": {s}' for t, s in sc])
     scores = '{"scores": {' + ss + '}}'
 
-    run_relative(STUDENT_GRADE_FILE, STUDENT_BASE)
 
     # =======
     #     problems.append(dict(name='Unitgrade score', description='Automatic score as computed using the _grade.py script', max_score=total_, optional='false'))
@@ -172,7 +176,7 @@ def new_deploy_assignment(base_name, INSTRUCTOR_BASE, INSTRUCTOR_GRADE_FILE, STU
         'handin_filename': handin_filename,
         # 'student_token_file': STUDENT_TOKEN_FILE,
         'autograde_image': autograde_image_tag,
-        'src_files_to_handout': ['driver_python.py', 'student_sources.zip', handin_filename,
+        'src_files_to_handout': ['driver_python.py', handin_filename, # 'student_sources.zip',
                                  os.path.basename(docker_helpers.__file__),
                                  os.path.basename(INSTRUCTOR_GRADE_FILE),
                                  student_token_src_filename],  # Remove tname later; it is the upload.
@@ -208,7 +212,7 @@ def new_deploy_assignment(base_name, INSTRUCTOR_BASE, INSTRUCTOR_GRADE_FILE, STU
     # zip_base_dir = pathlib.Path(os.path.relpath(STUDENT_GRADE_FILE, STUDENT_BASE)).parent
     zip_base_dir = pathlib.Path(os.path.relpath(INSTRUCTOR_GRADE_FILE, INSTRUCTOR_BASE)).parent
     # Alternatively: Unzip the sources directory and hand it out.
-    shutil.make_archive(LAB_DEST + '/src/student_sources', 'zip', root_dir=STUDENT_BASE, base_dir=str(zip_base_dir))
+    # shutil.make_archive(LAB_DEST + '/src/student_sources', 'zip', root_dir=STUDENT_BASE, base_dir=str(zip_base_dir))
     print("We made it")
 
     shutil.copyfile(docker_helpers.__file__, f"{LAB_DEST}/src/{os.path.basename(docker_helpers.__file__)}")
@@ -237,7 +241,7 @@ def new_deploy_assignment(base_name, INSTRUCTOR_BASE, INSTRUCTOR_GRADE_FILE, STU
     with open(LAB_DEST + "/writeup/writeup.html", 'w') as f:
         f.write(writeup)
 
-    shutil.make_archive(output_tar[:-4], 'tar', root_dir=COURSES_BASE, base_dir=base_name)
+    # shutil.make_archive(output_tar[:-4], 'tar', root_dir=COURSES_BASE, base_dir=base_name)
     print("Log in to autolab, go to 'install assessment', upload the tar file", output_tar)
     # Lets try an alternative creation procedure.
     if os.path.exists(f"{LAB_DEST}/{base_name}-handout"):
@@ -400,13 +404,13 @@ def format_autolab_json(data, indent=None):
         rs = {}
         for item, val in qs['items'].items():
             # print(item, val)
-            item_name = item[1]
+            item_name = val.get('nice_title', item[1]) # Attempt to give it a nicer title.
+
             pass_ = val['status'] == 'pass'
             d = {'passed': pass_}
             if not pass_:
                 # Unfortunately, html is escaped in template, so linebreaks do not work.
                 d['hint'] = val['stderr']
-                # d['hint'] = "<br>".join( val['stderr'].strip().splitlines() )
             rs[item_name] = d
         totals[title] = qs['obtained']
         stages.append(title)
diff --git a/src/unitgrade_private/autolab/lab_template/Makefile b/src/unitgrade_private/autolab/lab_template/Makefile
index 2e2158af2ed5e96f1412a880288e75c5d7a0f1df..e2228540a42b779831c7345fc123372fc32ef7ac 100644
--- a/src/unitgrade_private/autolab/lab_template/Makefile
+++ b/src/unitgrade_private/autolab/lab_template/Makefile
@@ -18,8 +18,10 @@ handout:
 
 handout-tarfile: handout
 	# Build *-handout.tar and autograde.tar
-	tar cvf {{ base_name }}-handout.tar {{ base_name }}-handout
-	cp -p {{ base_name }}-handout.tar autograde.tar
+	# tar cvf {{ base_name }}-handout.tar {{ base_name }}-handout
+	# cp -p {{ base_name }}-handout.tar autograde.tar
+	tar cvf autograde.tar {{ base_name }}-handout
+	# cp -p {{ base_name }}-handout.tar autograde.tar
 
 clean:
 	# Clean the entire lab directory tree.  Note that you can run
diff --git a/src/unitgrade_private/autolab/lab_template/hello.yml b/src/unitgrade_private/autolab/lab_template/hello.yml
index a2e18477b8336fb537dfa2c8a84ef839ba4d45a9..333e36393d021ba13629a68899532a4f770ad75b 100644
--- a/src/unitgrade_private/autolab/lab_template/hello.yml
+++ b/src/unitgrade_private/autolab/lab_template/hello.yml
@@ -3,11 +3,11 @@
 general:
   name: {{ base_name }}
   description: '{{description}}'
-  display_name: {{ display_name }}
+  display_name: '{{ display_name }}'
   handin_filename: {{ handin_filename }}
   handin_directory: handin
   max_grace_days: 0
-  handout: {{ base_name }}-handout.tar
+  handout: {{ base_name }}-handout.zip
   writeup: writeup/writeup.html
   max_submissions: -1
   disable_handins: false