diff --git a/Pipfile b/Pipfile
index 353a918..fec3ca2 100644
--- a/Pipfile
+++ b/Pipfile
@@ -14,6 +14,7 @@ pandas-market-calendars = "*"
 boto3 = "*"
 pytest = "*"
 tables = "*"
+pyprind = "*"
 
 [dev-packages]
 yapf = "*"
diff --git a/Pipfile.lock b/Pipfile.lock
index c0713c7..22fe125 100644
--- a/Pipfile.lock
+++ b/Pipfile.lock
@@ -1,7 +1,7 @@
 {
     "_meta": {
         "hash": {
-            "sha256": "7b09cc37f374eee5b79631af94b559b8e84d381c942a0dbfd3e784de0282b841"
+            "sha256": "8d928abb634b04adac0b236b5512a55e50b2ef86af3fd767083394d7877ce335"
         },
         "pipfile-spec": 6,
         "requires": {},
@@ -16,33 +16,26 @@
     "default": {
         "altair": {
             "hashes": [
-                "sha256:63934563a7a7b7186335858206a0b9be6043163b8b54a26cd3b3299a9e5e391f",
-                "sha256:65e243afa6da5b746c411890fd7dfd0f187c0f8e581cf3c34b07339712cf6627"
+                "sha256:92dcd7b84c715f8e02bbdf37e36193a4af8138b5b064c05f237e6ed41573880a",
+                "sha256:9947ae1e5f99b55c3ffaaf376494cd504bcdbfd33b8326061500c86ec0d89d93"
             ],
             "index": "pypi",
-            "version": "==3.0.1"
+            "version": "==4.0.0"
         },
         "appnope": {
             "hashes": [
                 "sha256:5b26757dc6f79a3b7dc9fab95359328d5747fcb2409d331ea66d0272b90ab2a0",
                 "sha256:8b995ffe925347a2138d7ac0fe77155e4311a0ea6d6da4f5128fe4b3cbe5ed71"
             ],
-            "markers": "sys_platform == 'darwin'",
+            "markers": "platform_system == 'Darwin'",
             "version": "==0.1.0"
         },
-        "atomicwrites": {
-            "hashes": [
-                "sha256:03472c30eb2c5d1ba9227e4c2ca66ab8287fbfbbda3888aa93dc2e28fc6811b4",
-                "sha256:75a9445bac02d8d058d5e1fe689654ba5a6556a1dfd8ce6ec55a0ed79866cfa6"
-            ],
-            "version": "==1.3.0"
-        },
         "attrs": {
             "hashes": [
-                "sha256:69c0dbf2ed392de1cb5ec704444b08a5ef81680a61cb899dc08127123af36a79",
-                "sha256:f0b870f674851ecbfbbbd364d6b5cbdff9dcedbc7f3f5e18a6891057f21fe399"
+                "sha256:08a96c641c3a74e44eb59afb61a24f2cb9f4d7188748e76ba4bb5edfa3cb7d1c",
+                "sha256:f7b7ce16570fe9965acd6d30101a28f62fb4a7f9e926b3bbc9b61f8b04247e72"
             ],
-            "version": "==19.1.0"
+            "version": "==19.3.0"
         },
         "backcall": {
             "hashes": [
@@ -53,12 +46,12 @@
         },
         "beautifulsoup4": {
             "hashes": [
-                "sha256:034740f6cb549b4e932ae1ab975581e6103ac8f942200a0e9759065984391858",
-                "sha256:945065979fb8529dd2f37dbb58f00b661bdbcbebf954f93b32fdf5263ef35348",
-                "sha256:ba6d5c59906a85ac23dadfe5c88deaf3e179ef565f4898671253e50a78680718"
+                "sha256:05fd825eb01c290877657a56df4c6e4c311b3965bda790c613a3d6fb01a5462a",
+                "sha256:9fbb4d6e48ecd30bcacc5b63b94088192dcda178513b2ae3c394229f8911b887",
+                "sha256:e1505eeed31b0f4ce2dbb3bc8eb256c04cc2b3b72af7d551a4ab6efd5cbe5dae"
             ],
             "index": "pypi",
-            "version": "==4.7.1"
+            "version": "==4.8.2"
         },
         "bleach": {
             "hashes": [
@@ -69,25 +62,25 @@
         },
         "boto3": {
             "hashes": [
-                "sha256:c42d6e09f314da9ddd5742f864073a5623d8f54ff94ba2d9aa6c90321a9a92aa",
-                "sha256:c939b576327e962af65d083b75e122f7e3d69166f4951238726121d60216aee8"
+                "sha256:982823e7c992d27e5954c81db93238ffc42c7a1210d863b4f5e048fdc088040e",
+                "sha256:f05ee90a738c2f1ec8088121030229f26ef6a809fb9a1338de2118fd088dd99a"
             ],
             "index": "pypi",
-            "version": "==1.9.158"
+            "version": "==1.10.45"
         },
         "botocore": {
             "hashes": [
-                "sha256:20ab7eeb3e82f1d8a3bc12a286ce073a0ba1a0d189e7c6dd9d1140a213161692",
-                "sha256:ed3e79cb3d271e5e58d87fba3bd90549b97c5aba26a9de2228212ccb8ef9f11b"
+                "sha256:88ee646f7a0fe6a418681c6f119a590fae23d8439c48c2aec6878f7f89430b1f",
+                "sha256:f48ba1ef04b25323c1d27fa6399795baa0ca9d316911b87be4d33acda5cef07c"
             ],
-            "version": "==1.12.158"
+            "version": "==1.13.45"
         },
         "certifi": {
             "hashes": [
-                "sha256:59b7658e26ca9c7339e00f8f4636cdfe59d34fa37b9b04f6f9e9926b3cece1a5",
-                "sha256:b26104d6835d1f5e49452a26eb2ff87fe7090b89dfcaee5ea2212697e1e1d7ae"
+                "sha256:017c25db2a153ce562900032d5bc68e9f191e44e9a0f762f373977de9df1fbb3",
+                "sha256:25b64c7da4cd7479594d035c08c2d809eb4aab3a26e5a990ea98cc450c320f1f"
             ],
-            "version": "==2019.3.9"
+            "version": "==2019.11.28"
         },
         "chardet": {
             "hashes": [
@@ -98,10 +91,10 @@
         },
         "decorator": {
             "hashes": [
-                "sha256:86156361c50488b84a3f148056ea716ca587df2f0de1d34750d35c21312725de",
-                "sha256:f069f3a01830ca754ba5258fde2278454a0b5b79e0d7f5c13b3b97e57d4acff6"
+                "sha256:54c38050039232e1db4ad7375cfce6748d7b41c29e95a081c8a6d2c30364a2ce",
+                "sha256:5d19b92a3c8f7f101c8dd86afd86b0f061a8ce4540ab8cd401fa2542756bce6d"
             ],
-            "version": "==4.4.0"
+            "version": "==4.4.1"
         },
         "defusedxml": {
             "hashes": [
@@ -112,11 +105,11 @@
         },
         "docutils": {
             "hashes": [
-                "sha256:02aec4bd92ab067f6ff27a38a38a41173bf01bed8f89157768c1573f53e474a6",
-                "sha256:51e64ef2ebfb29cae1faa133b3710143496eca21c530f3f71424d77687764274",
-                "sha256:7a4bd47eaf6596e1295ecb11361139febe29b084a87bf005bf899f9a42edc3c6"
+                "sha256:6c4f696463b79f1fb8ba0c594b63840ebd41f059e92b31957c46b74a4599b6d0",
+                "sha256:9e4d7ecfc600058e07ba661411a2b7de2fd0fafa17d1a7f7361cd47b1175c827",
+                "sha256:a2aeea129088da402665e92e0b25b04b073c04b2dce4ab65caaa38b7ce2e1a99"
             ],
-            "version": "==0.14"
+            "version": "==0.15.2"
         },
         "entrypoints": {
             "hashes": [
@@ -134,25 +127,26 @@
         },
         "importlib-metadata": {
             "hashes": [
-                "sha256:a9f185022cfa69e9ca5f7eabfd5a58b689894cb78a11e3c8c89398a8ccbb8e7f",
-                "sha256:df1403cd3aebeb2b1dcd3515ca062eecb5bd3ea7611f18cba81130c68707e879"
+                "sha256:073a852570f92da5f744a3472af1b61e28e9f78ccf0c9117658dc32b15de7b45",
+                "sha256:d95141fbfa7ef2ec65cfd945e2af7e5a6ddbd7c8d9a25e66ff3be8e3daf9f60f"
             ],
-            "version": "==0.17"
+            "markers": "python_version < '3.8'",
+            "version": "==1.3.0"
         },
         "ipykernel": {
             "hashes": [
-                "sha256:346189536b88859937b5f4848a6fd85d1ad0729f01724a411de5cae9b618819c",
-                "sha256:f0e962052718068ad3b1d8bcc703794660858f58803c3798628817f492a8769c"
+                "sha256:1a7def9c986f1ee018c1138d16951932d4c9d4da01dad45f9d34e9899565a22f",
+                "sha256:b368ad13edb71fa2db367a01e755a925d7f75ed5e09fbd3f06c85e7a8ef108a8"
             ],
-            "version": "==5.1.1"
+            "version": "==5.1.3"
         },
         "ipython": {
             "hashes": [
-                "sha256:54c5a8aa1eadd269ac210b96923688ccf01ebb2d0f21c18c3c717909583579a8",
-                "sha256:e840810029224b56cd0d9e7719dc3b39cf84d577f8ac686547c8ba7a06eeab26"
+                "sha256:0b67031a659fd7046cbf8c4efc2a0d514ee050434dfede76f540cfa6f806f65e",
+                "sha256:cc70e2111d1629e31ef9ff445529f8bb2b4fc4f93bfe140c33fe18cf36fde072"
             ],
             "markers": "python_version >= '3.3'",
-            "version": "==7.5.0"
+            "version": "==7.11.0"
         },
         "ipython-genutils": {
             "hashes": [
@@ -163,24 +157,24 @@
         },
         "ipywidgets": {
             "hashes": [
-                "sha256:0f2b5cde9f272cb49d52f3f0889fdd1a7ae1e74f37b48dac35a83152780d2b7b",
-                "sha256:a3e224f430163f767047ab9a042fc55adbcab0c24bbe6cf9f306c4f89fdf0ba3"
+                "sha256:13ffeca438e0c0f91ae583dc22f50379b9d6b28390ac7be8b757140e9a771516",
+                "sha256:e945f6e02854a74994c596d9db83444a1850c01648f1574adf144fbbabe05c97"
             ],
-            "version": "==7.4.2"
+            "version": "==7.5.1"
         },
         "jedi": {
             "hashes": [
-                "sha256:2bb0603e3506f708e792c7f4ad8fc2a7a9d9c2d292a358fbbd58da531695595b",
-                "sha256:2c6bcd9545c7d6440951b12b44d373479bf18123a401a52025cf98563fbd826c"
+                "sha256:1349c1e8c107095a55386628bb3b2a79422f3a2cab8381e34ce19909e0cf5064",
+                "sha256:e909527104a903606dd63bea6e8e888833f0ef087057829b89a18364a856f807"
             ],
-            "version": "==0.13.3"
+            "version": "==0.15.2"
         },
         "jinja2": {
             "hashes": [
-                "sha256:065c4f02ebe7f7cf559e49ee5a95fb800a9e4528727aec6f24402a5374c65013",
-                "sha256:14dd6caf1527abb21f08f86c784eac40853ba93edb79552aa1e4b8aef1b61c7b"
+                "sha256:74320bb91f31270f9551d46522e33af46a80c3d619f4a4bf42b3164d30b5911f",
+                "sha256:9fe95f19286cfefaa917656583d020be14e7859c6b0252588391e47db34527de"
             ],
-            "version": "==2.10.1"
+            "version": "==2.10.3"
         },
         "jmespath": {
             "hashes": [
@@ -191,10 +185,10 @@
         },
         "jsonschema": {
             "hashes": [
-                "sha256:0c0a81564f181de3212efa2d17de1910f8732fa1b71c42266d983cd74304e20d",
-                "sha256:a5f6559964a3851f59040d3b961de5e68e70971afb88ba519d27e6a039efff1a"
+                "sha256:4e5b3cf8216f577bee9ce139cbe72eca3ea4f292ec60928ff24758ce626cd163",
+                "sha256:c8a85b28d377cc7737e46e2d9f2b4f44ee3c0e1deac6bf46ddefc7187d30797a"
             ],
-            "version": "==3.0.1"
+            "version": "==3.2.0"
         },
         "jupyter": {
             "hashes": [
@@ -207,10 +201,10 @@
         },
         "jupyter-client": {
             "hashes": [
-                "sha256:b5f9cb06105c1d2d30719db5ffb3ea67da60919fb68deaefa583deccd8813551",
-                "sha256:c44411eb1463ed77548bc2d5ec0d744c9b81c4a542d9637c7a52824e2121b987"
+                "sha256:60e6faec1031d63df57f1cc671ed673dced0ed420f4377ea33db37b1c188b910",
+                "sha256:d0c077c9aaa4432ad485e7733e4d91e48f87b4f4bab7d283d42bb24cbbba0a0f"
             ],
-            "version": "==5.2.4"
+            "version": "==5.3.4"
         },
         "jupyter-console": {
             "hashes": [
@@ -221,41 +215,41 @@
         },
         "jupyter-core": {
             "hashes": [
-                "sha256:927d713ffa616ea11972534411544589976b2493fc7e09ad946e010aa7eb9970",
-                "sha256:ba70754aa680300306c699790128f6fbd8c306ee5927976cbe48adacf240c0b7"
+                "sha256:464769f7387d7a62a2403d067f1ddc616655b7f77f5d810c0dd62cb54bfd0fb9",
+                "sha256:a183e0ec2e8f6adddf62b0a3fc6a2237e3e0056d381e536d3e7c7ecc3067e244"
             ],
-            "version": "==4.4.0"
+            "version": "==4.6.1"
         },
         "lxml": {
             "hashes": [
-                "sha256:03984196d00670b2ab14ae0ea83d5cc0cfa4f5a42558afa9ab5fa745995328f5",
-                "sha256:0815b0c9f897468de6a386dc15917a0becf48cc92425613aa8bbfc7f0f82951f",
-                "sha256:175f3825f075cf02d15099eb52658457cf0ff103dcf11512b5d2583e1d40f58b",
-                "sha256:30e14c62d88d1e01a26936ecd1c6e784d4afc9aa002bba4321c5897937112616",
-                "sha256:3210da6f36cf4b835ff1be853962b22cc354d506f493b67a4303c88bbb40d57b",
-                "sha256:40f60819fbd5bad6e191ba1329bfafa09ab7f3f174b3d034d413ef5266963294",
-                "sha256:43b26a865a61549919f8a42e094dfdb62847113cf776d84bd6b60e4e3fc20ea3",
-                "sha256:4a03dd682f8e35a10234904e0b9508d705ff98cf962c5851ed052e9340df3d90",
-                "sha256:62f382cddf3d2e52cf266e161aa522d54fd624b8cc567bc18f573d9d50d40e8e",
-                "sha256:7b98f0325be8450da70aa4a796c4f06852949fe031878b4aa1d6c417a412f314",
-                "sha256:846a0739e595871041385d86d12af4b6999f921359b38affb99cdd6b54219a8f",
-                "sha256:a3080470559938a09a5d0ec558c005282e99ac77bf8211fb7b9a5c66390acd8d",
-                "sha256:ad841b78a476623955da270ab8d207c3c694aa5eba71f4792f65926dc46c6ee8",
-                "sha256:afdd75d9735e44c639ffd6258ce04a2de3b208f148072c02478162d0944d9da3",
-                "sha256:b4fbf9b552faff54742bcd0791ab1da5863363fb19047e68f6592be1ac2dab33",
-                "sha256:b90c4e32d6ec089d3fa3518436bdf5ce4d902a0787dbd9bb09f37afe8b994317",
-                "sha256:b91cfe4438c741aeff662d413fd2808ac901cc6229c838236840d11de4586d63",
-                "sha256:bdb0593a42070b0a5f138b79b872289ee73c8e25b3f0bea6564e795b55b6bcdd",
-                "sha256:c4e4bca2bb68ce22320297dfa1a7bf070a5b20bcbaec4ee023f83d2f6e76496f",
-                "sha256:cec4ab14af9eae8501be3266ff50c3c2aecc017ba1e86c160209bb4f0423df6a",
-                "sha256:e83b4b2bf029f5104bc1227dbb7bf5ace6fd8fabaebffcd4f8106fafc69fc45f",
-                "sha256:e995b3734a46d41ae60b6097f7c51ba9958648c6d1e0935b7e0ee446ee4abe22",
-                "sha256:f679d93dec7f7210575c85379a31322df4c46496f184ef650d3aba1484b38a2d",
-                "sha256:fd213bb5166e46974f113c8228daaef1732abc47cb561ce9c4c8eaed4bd3b09b",
-                "sha256:fdcb57b906dbc1f80666e6290e794ab8fb959a2e17aa5aee1758a85d1da4533f",
-                "sha256:ff424b01d090ffe1947ec7432b07f536912e0300458f9a7f48ea217dd8362b86"
+                "sha256:00ac0d64949fef6b3693813fe636a2d56d97a5a49b5bbb86e4cc4cc50ebc9ea2",
+                "sha256:0571e607558665ed42e450d7bf0e2941d542c18e117b1ebbf0ba72f287ad841c",
+                "sha256:0e3f04a7615fdac0be5e18b2406529521d6dbdb0167d2a690ee328bef7807487",
+                "sha256:13cf89be53348d1c17b453867da68704802966c433b2bb4fa1f970daadd2ef70",
+                "sha256:217262fcf6a4c2e1c7cb1efa08bd9ebc432502abc6c255c4abab611e8be0d14d",
+                "sha256:223e544828f1955daaf4cefbb4853bc416b2ec3fd56d4f4204a8b17007c21250",
+                "sha256:277cb61fede2f95b9c61912fefb3d43fbd5f18bf18a14fae4911b67984486f5d",
+                "sha256:3213f753e8ae86c396e0e066866e64c6b04618e85c723b32ecb0909885211f74",
+                "sha256:4690984a4dee1033da0af6df0b7a6bde83f74e1c0c870623797cec77964de34d",
+                "sha256:4fcc472ef87f45c429d3b923b925704aa581f875d65bac80f8ab0c3296a63f78",
+                "sha256:61409bd745a265a742f2693e4600e4dbd45cc1daebe1d5fad6fcb22912d44145",
+                "sha256:678f1963f755c5d9f5f6968dded7b245dd1ece8cf53c1aa9d80e6734a8c7f41d",
+                "sha256:6c6d03549d4e2734133badb9ab1c05d9f0ef4bcd31d83e5d2b4747c85cfa21da",
+                "sha256:6e74d5f4d6ecd6942375c52ffcd35f4318a61a02328f6f1bd79fcb4ffedf969e",
+                "sha256:7b4fc7b1ecc987ca7aaf3f4f0e71bbfbd81aaabf87002558f5bc95da3a865bcd",
+                "sha256:7ed386a40e172ddf44c061ad74881d8622f791d9af0b6f5be20023029129bc85",
+                "sha256:8f54f0924d12c47a382c600c880770b5ebfc96c9fd94cf6f6bdc21caf6163ea7",
+                "sha256:ad9b81351fdc236bda538efa6879315448411a81186c836d4b80d6ca8217cdb9",
+                "sha256:bbd00e21ea17f7bcc58dccd13869d68441b32899e89cf6cfa90d624a9198ce85",
+                "sha256:c3c289762cc09735e2a8f8a49571d0e8b4f57ea831ea11558247b5bdea0ac4db",
+                "sha256:cf4650942de5e5685ad308e22bcafbccfe37c54aa7c0e30cd620c2ee5c93d336",
+                "sha256:cfcbc33c9c59c93776aa41ab02e55c288a042211708b72fdb518221cc803abc8",
+                "sha256:e301055deadfedbd80cf94f2f65ff23126b232b0d1fea28f332ce58137bcdb18",
+                "sha256:ebbfe24df7f7b5c6c7620702496b6419f6a9aa2fd7f005eb731cc80d7b4692b9",
+                "sha256:eff69ddbf3ad86375c344339371168640951c302450c5d3e9936e98d6459db06",
+                "sha256:f6ed60a62c5f1c44e789d2cf14009423cb1646b44a43e40a9cf6a21f077678a1"
             ],
-            "version": "==4.3.3"
+            "version": "==4.4.2"
         },
         "markupsafe": {
             "hashes": [
@@ -297,27 +291,19 @@
             ],
             "version": "==0.8.4"
         },
-        "mock": {
-            "hashes": [
-                "sha256:83657d894c90d5681d62155c82bda9c1187827525880eda8ff5df4ec813437c3",
-                "sha256:d157e52d4e5b938c550f39eb2fd15610db062441a9c2747d3dbfa9298211d0f8"
-            ],
-            "version": "==3.0.5"
-        },
         "more-itertools": {
             "hashes": [
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@@ -328,113 +314,126 @@
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-                "sha256:7dee3fe6fa483c8c2ee4f1af91a65b542c5446d75a6fc25c832cad1ffca8ef0b"
+                "sha256:7001a7cdeee1153e15881701bf03a3bd68931bec806e252eb6babe0ae042ec60",
+                "sha256:b8766b166c84b5e103e1ac57677e8c48084b66c4e477c1d0d437ec4b759c7a92"
             ],
             "index": "pypi",
-            "version": "==0.7.0"
+            "version": "==0.8.1"
         },
         "pandas-market-calendars": {
             "hashes": [
-                "sha256:828178d434173f439553fa33ed3b9d40d70202f2cbf4247bb3fd42e5fcbb5acd",
-                "sha256:f8fb120654314bb8f2ac447ec5a2702926409df47876cd0b8983285ee9217088"
+                "sha256:7625e030dc0c522b76841378b7c72e4299fcbd1315c34ab6f3ed4243bec4eb22",
+                "sha256:d661ef9f723b817b2e9dead72bc37ca03909d5087a9f6704d77645e9b1dd4db7"
             ],
             "index": "pypi",
-            "version": "==1.1"
+            "version": "==1.2"
         },
         "pandocfilters": {
             "hashes": [
@@ -444,10 +443,10 @@
         },
         "parso": {
             "hashes": [
-                "sha256:17cc2d7a945eb42c3569d4564cdf49bde221bc2b552af3eca9c1aad517dcdd33",
-                "sha256:2e9574cb12e7112a87253e14e2c380ce312060269d04bd018478a3c92ea9a376"
+                "sha256:55cf25df1a35fd88b878715874d2c4dc1ad3f0eebd1e0266a67e1f55efccfbe1",
+                "sha256:5c1f7791de6bd5dbbeac8db0ef5594b36799de198b3f7f7014643b0c5536b9d3"
             ],
-            "version": "==0.4.0"
+            "version": "==0.5.2"
         },
         "pexpect": {
             "hashes": [
@@ -466,24 +465,24 @@
         },
         "pluggy": {
             "hashes": [
-                "sha256:0825a152ac059776623854c1543d65a4ad408eb3d33ee114dff91e57ec6ae6fc",
-                "sha256:b9817417e95936bf75d85d3f8767f7df6cdde751fc40aed3bb3074cbcb77757c"
+                "sha256:15b2acde666561e1298d71b523007ed7364de07029219b604cf808bfa1c765b0",
+                "sha256:966c145cd83c96502c3c3868f50408687b38434af77734af1e9ca461a4081d2d"
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-            "version": "==0.12.0"
+            "version": "==0.13.1"
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         "prometheus-client": {
             "hashes": [
-                "sha256:1b38b958750f66f208bcd9ab92a633c0c994d8859c831f7abc1f46724fcee490"
+                "sha256:71cd24a2b3eb335cb800c7159f423df1bd4dcd5171b234be15e3f31ec9f622da"
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-            "version": "==0.6.0"
+            "version": "==0.7.1"
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         "prompt-toolkit": {
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-                "sha256:2519ad1d8038fd5fc8e770362237ad0364d16a7650fb5724af6997ed5515e3c1",
-                "sha256:977c6583ae813a37dc1c2e1b715892461fcbdaa57f6fc62f33a528c4886c8f55"
+                "sha256:46642344ce457641f28fc9d1c9ca939b63dadf8df128b86f1b9860e59c73a5e4",
+                "sha256:e7f8af9e3d70f514373bf41aa51bc33af12a6db3f71461ea47fea985defb2c31",
+                "sha256:f15af68f66e664eaa559d4ac8a928111eebd5feda0c11738b5998045224829db"
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-            "version": "==2.0.9"
+            "version": "==2.0.10"
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         "ptyprocess": {
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@@ -495,83 +494,101 @@
         },
         "py": {
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-            "version": "==1.8.0"
+            "version": "==1.8.1"
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-            "version": "==2.4.2"
+            "version": "==2.5.2"
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+        "pyparsing": {
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+                "sha256:c342dccb5250c08d45fd6f8b4a559613ca603b57498511740e65cd11a2e7dcec"
+            ],
+            "version": "==2.4.6"
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+                "sha256:c46cab453b805852853dfe29fd933aa88a2a516153909c695b098e9161a9e675"
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+            "version": "==2.11.2"
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-            "version": "==4.5.0"
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             "markers": "python_version >= '2.7'",
-            "version": "==2.8.0"
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-            "version": "==2019.1"
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-            "version": "==18.0.1"
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         "qtconsole": {
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@@ -583,10 +600,10 @@
         },
         "s3transfer": {
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-                "sha256:7b9ad3213bff7d357f888e0fab5101b56fa1a0548ee77d121c3a3dbfbef4cb2e",
-                "sha256:f23d5cb7d862b104401d9021fc82e5fa0e0cf57b7660a1331425aab0c691d021"
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-            "version": "==0.2.0"
+            "version": "==0.2.1"
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         "send2trash": {
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@@ -597,93 +614,92 @@
         },
         "six": {
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-            "version": "==1.9.1"
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+                "sha256:4628e762a8aacfa038cdae118d2d1df9a9ddd9b4a82d6993f4bcbfa7744a9f8a",
+                "sha256:49a972b8a7c27a8a173aeb05f67acb45fe608b64cd8e9fa667c0962a60b71b49",
+                "sha256:6055dd1d3ec03fd25c60bb93a4be396464f0640fd5845884230dae1deb7e6cc6",
+                "sha256:6e13a3eaf86f9eba582a04b44929ee1585a05dd539d207a10a22374b7e4552ca",
+                "sha256:7acbf0e2fb7132a40f441ebb53b53c97cee05fb88ce743afdd97c681d1d377d7",
+                "sha256:8c96c5d4a9ebe34b72b918b3189954e2d5b6f87cb211d4244b7c001661d8a861",
+                "sha256:8ea87231788cfd5773ffbe33f149f778f9ef4ab681149dec00cb88e1681bd299",
+                "sha256:94d7ccac04277089e3bb466bf5c8f7038dd53bb8f19ea9679b7fea62c5c3ae8f",
+                "sha256:950167d56b45ece117f79d839d5d55f0cb45bfca20290fa9dcd70255282f969e",
+                "sha256:9d06c5fda6657698bae4fbe841204625b501ddf2e2a77131c23f3d3ac072db82",
+                "sha256:acb3f905c63e437023071833744b3e5a83376dc457f413f0840d8d50dd5d402b",
+                "sha256:bfdbcacffec122ce8d1b0dd6ffc3c6051bedd6081e20264fa96165d43fc78f52",
+                "sha256:c0b97a7363941d9518573c217cb5bfe4b2b456748aac1e9420d3979f7d5e82d2",
+                "sha256:d95faa1174653a738ac8183a95f050a29a3f69efac6e71f70cde8d717e31af17",
+                "sha256:db163df08ded7804d596dee14d88397f6c55cdf4671b3992cb885c0b3890a54d",
+                "sha256:ea4b41ed95953ad588bcd6e557577414e50754011430c27934daf5dbd2d52251",
+                "sha256:eed1e030bb077476d585697e37f2b8e37db4157ff93b485b43f374254cff8698",
+                "sha256:f1327aeef8b6c0fec5aae9f5f5a57b2d8ec98c08495fd09471b749ea46de9eb0",
+                "sha256:f9c88511483c8fd39e7841fc60bc7038c96eeb87fe776092439172e1e6330f49",
+                "sha256:fd63c94960f8208cb13d41033a3114c0242e7737cb578f2454c6a087c5d246ec"
             ],
             "index": "pypi",
-            "version": "==3.5.1"
+            "version": "==3.6.1"
         },
         "terminado": {
             "hashes": [
-                "sha256:d9d012de63acb8223ac969c17c3043337c2fcfd28f3aea1ee429b345d01ef460",
-                "sha256:de08e141f83c3a0798b050ecb097ab6259c3f0331b2f7b7750c9075ced2c20c2"
+                "sha256:4804a774f802306a7d9af7322193c5390f1da0abb429e082a10ef1d46e6fb2c2",
+                "sha256:a43dcb3e353bc680dd0783b1d9c3fc28d529f190bc54ba9a229f72fe6e7a54d7"
             ],
-            "version": "==0.8.2"
+            "version": "==0.8.3"
         },
         "testpath": {
             "hashes": [
-                "sha256:46c89ebb683f473ffe2aab0ed9f12581d4d078308a3cb3765d79c6b2317b0109",
-                "sha256:b694b3d9288dbd81685c5d2e7140b81365d46c29f5db4bc659de5aa6b98780f8"
+                "sha256:60e0a3261c149755f4399a1fff7d37523179a70fdc3abdf78de9fc2604aeec7e",
+                "sha256:bfcf9411ef4bf3db7579063e0546938b1edda3d69f4e1fb8756991f5951f85d4"
             ],
-            "version": "==0.4.2"
+            "version": "==0.4.4"
         },
         "toolz": {
             "hashes": [
-                "sha256:929f0a7ea7f61c178bd951bdae93920515d3fbdbafc8e6caf82d752b9b3b31c9"
+                "sha256:08fdd5ef7c96480ad11c12d472de21acd32359996f69a5259299b540feba4560"
             ],
-            "version": "==0.9.0"
+            "version": "==0.10.0"
         },
         "tornado": {
             "hashes": [
-                "sha256:1174dcb84d08887b55defb2cda1986faeeea715fff189ef3dc44cce99f5fca6b",
-                "sha256:2613fab506bd2aedb3722c8c64c17f8f74f4070afed6eea17f20b2115e445aec",
-                "sha256:44b82bc1146a24e5b9853d04c142576b4e8fa7a92f2e30bc364a85d1f75c4de2",
-                "sha256:457fcbee4df737d2defc181b9073758d73f54a6cfc1f280533ff48831b39f4a8",
-                "sha256:49603e1a6e24104961497ad0c07c799aec1caac7400a6762b687e74c8206677d",
-                "sha256:8c2f40b99a8153893793559919a355d7b74649a11e59f411b0b0a1793e160bc0",
-                "sha256:e1d897889c3b5a829426b7d52828fb37b28bc181cd598624e65c8be40ee3f7fa"
+                "sha256:349884248c36801afa19e342a77cc4458caca694b0eda633f5878e458a44cb2c",
+                "sha256:398e0d35e086ba38a0427c3b37f4337327231942e731edaa6e9fd1865bbd6f60",
+                "sha256:4e73ef678b1a859f0cb29e1d895526a20ea64b5ffd510a2307b5998c7df24281",
+                "sha256:559bce3d31484b665259f50cd94c5c28b961b09315ccd838f284687245f416e5",
+                "sha256:abbe53a39734ef4aba061fca54e30c6b4639d3e1f59653f0da37a0003de148c7",
+                "sha256:c845db36ba616912074c5b1ee897f8e0124df269468f25e4fe21fe72f6edd7a9",
+                "sha256:c9399267c926a4e7c418baa5cbe91c7d1cf362d505a1ef898fde44a07c9dd8a5"
             ],
-            "version": "==6.0.2"
+            "version": "==6.0.3"
         },
         "traitlets": {
             "hashes": [
-                "sha256:9c4bd2d267b7153df9152698efb1050a5d84982d3384a37b2c1f7723ba3e7835",
-                "sha256:c6cb5e6f57c5a9bdaa40fa71ce7b4af30298fbab9ece9815b5d995ab6217c7d9"
+                "sha256:70b4c6a1d9019d7b4f6846832288f86998aa3b9207c6821f3578a6a6a467fe44",
+                "sha256:d023ee369ddd2763310e4c3eae1ff649689440d4ae59d7485eb4cfbbe3e359f7"
             ],
-            "version": "==4.3.2"
+            "version": "==4.3.3"
         },
         "urllib3": {
             "hashes": [
-                "sha256:b246607a25ac80bedac05c6f282e3cdaf3afb65420fd024ac94435cabe6e18d1",
-                "sha256:dbe59173209418ae49d485b87d1681aefa36252ee85884c31346debd19463232"
+                "sha256:a8a318824cc77d1fd4b2bec2ded92646630d7fe8619497b142c84a9e6f5a7293",
+                "sha256:f3c5fd51747d450d4dcf6f923c81f78f811aab8205fda64b0aba34a4e48b0745"
             ],
             "markers": "python_version >= '3.4'",
-            "version": "==1.25.3"
+            "version": "==1.25.7"
         },
         "wcwidth": {
             "hashes": [
@@ -701,23 +717,17 @@
         },
         "widgetsnbextension": {
             "hashes": [
-                "sha256:14b2c65f9940c9a7d3b70adbe713dbd38b5ec69724eebaba034d1036cf3d4740",
-                "sha256:fa618be8435447a017fd1bf2c7ae922d0428056cfc7449f7a8641edf76b48265"
+                "sha256:079f87d87270bce047512400efd70238820751a11d2d8cb137a5a5bdbaf255c7",
+                "sha256:bd314f8ceb488571a5ffea6cc5b9fc6cba0adaf88a9d2386b93a489751938bcd"
             ],
-            "version": "==3.4.2"
-        },
-        "wrapt": {
-            "hashes": [
-                "sha256:4aea003270831cceb8a90ff27c4031da6ead7ec1886023b80ce0dfe0adf61533"
-            ],
-            "version": "==1.11.1"
+            "version": "==3.5.1"
         },
         "zipp": {
             "hashes": [
-                "sha256:8c1019c6aad13642199fbe458275ad6a84907634cc9f0989877ccc4a2840139d",
-                "sha256:ca943a7e809cc12257001ccfb99e3563da9af99d52f261725e96dfe0f9275bc3"
+                "sha256:3718b1cbcd963c7d4c5511a8240812904164b7f381b647143a89d3b98f9bcd8e",
+                "sha256:f06903e9f1f43b12d371004b4ac7b06ab39a44adc747266928ae6debfa7b3335"
             ],
-            "version": "==0.5.1"
+            "version": "==0.6.0"
         }
     },
     "develop": {
@@ -730,11 +740,11 @@
         },
         "flake8": {
             "hashes": [
-                "sha256:859996073f341f2670741b51ec1e67a01da142831aa1fdc6242dbf88dffbe661",
-                "sha256:a796a115208f5c03b18f332f7c11729812c8c3ded6c46319c59b53efd3819da8"
+                "sha256:45681a117ecc81e870cbf1262835ae4af5e7a8b08e40b944a8a6e6b895914cfb",
+                "sha256:49356e766643ad15072a789a20915d3c91dc89fd313ccd71802303fd67e4deca"
             ],
             "index": "pypi",
-            "version": "==3.7.7"
+            "version": "==3.7.9"
         },
         "mccabe": {
             "hashes": [
@@ -759,11 +769,11 @@
         },
         "yapf": {
             "hashes": [
-                "sha256:34f6f80c446dcb2c44bd644c4037a2024b6645e293a4c9c4521983dd0bb247a1",
-                "sha256:613deba14233623ff3432d9d5032631b5f600be97b39f66932cbe67648bfa8ea"
+                "sha256:712e23c468506bf12cadd10169f852572ecc61b266258422d45aaf4ad7ef43de",
+                "sha256:cad8a272c6001b3401de3278238fdc54997b6c2e56baa751788915f879a52fca"
             ],
             "index": "pypi",
-            "version": "==0.27.0"
+            "version": "==0.29.0"
         }
     }
 }
diff --git a/backtester/backtester.py b/backtester/backtester.py
index bb72bf8..2a682eb 100644
--- a/backtester/backtester.py
+++ b/backtester/backtester.py
@@ -1,4 +1,5 @@
 import pandas as pd
+import pyprind
 
 from .strategy import Strategy
 from .datahandler import HistoricalOptionsData
@@ -48,25 +49,23 @@ class Backtest:
 
         index = pd.MultiIndex.from_product(
             [[l.name for l in self._strategy.legs],
-             [
-                 'contract', 'underlying', 'expiration', 'type', 'strike',
-                 'cost', 'date', 'order'
-             ]])
+             ['contract', 'underlying', 'expiration', 'type', 'strike', 'cost', 'date', 'order']])
         index_totals = pd.MultiIndex.from_product([['totals'], ['cost']])
         self.inventory = pd.DataFrame(columns=index.append(index_totals))
         self.trade_log = pd.DataFrame()
 
-        data_iterator = self._data.iter_months(
-        ) if monthly else self._data.iter_dates()
+        data_iterator = self._data.iter_months() if monthly else self._data.iter_dates()
+        bar = pyprind.ProgBar(data_iterator.ngroups, bar_char='█')
 
         for _date, options in data_iterator:
-            entry_signals = self._strategy.filter_entries(
-                options, self.inventory)
+            entry_signals = self._strategy.filter_entries(options, self.inventory)
             exit_signals = self._strategy.filter_exits(options, self.inventory)
 
             self._execute_exit(exit_signals)
             self._execute_entry(entry_signals)
 
+            bar.update()
+
         return self.trade_log
 
     def _execute_entry(self, entry_signals):
@@ -92,12 +91,11 @@ class Backtest:
         """Returns a dictionary containing the orders to execute."""
 
         if not entry_signals.empty:
-            costs = entry_signals['totals']['cost']
-            return entry_signals.loc[costs.idxmin():costs.idxmin()], costs.min(
-            )
+            # costs = entry_signals['totals']['cost']
+            # return entry_signals.loc[costs.idxmin():costs.idxmin()], costs.min()
+            return entry_signals.iloc[0], entry_signals.iloc[0]['totals']['cost']
         else:
             return entry_signals, 0
 
     def __repr__(self):
-        return "Backtest(capital={}, strategy={})".format(
-            self.capital, self._strategy)
+        return "Backtest(capital={}, strategy={})".format(self.capital, self._strategy)
diff --git a/backtester/strategy/__init__.py b/backtester/strategy/__init__.py
index b696632..0e2e74b 100644
--- a/backtester/strategy/__init__.py
+++ b/backtester/strategy/__init__.py
@@ -1,4 +1,3 @@
 from .strategy import Strategy, Condition
 from .strategy_leg import StrategyLeg
-# from .straddle import Straddle
-from .strangle import Strangle
+from .straddle import Straddle
diff --git a/backtester/strategy/straddle.py b/backtester/strategy/straddle.py
new file mode 100644
index 0000000..be95e1d
--- /dev/null
+++ b/backtester/strategy/straddle.py
@@ -0,0 +1,41 @@
+from .strategy_leg import StrategyLeg
+from .strategy import Strategy
+from backtester.option import Direction, Type
+
+
+class Straddle(Strategy):
+    def __init__(self,
+                 schema,
+                 name,
+                 underlying,
+                 dte_entry_range,
+                 dte_exit,
+                 atm_pct=(0.05, 0.05),
+                 exit_thresholds=(float('inf'), float('inf')),
+                 qty=1,
+                 shares_per_contract=100):
+        assert (name.lower() == 'short' or name.lower() == 'long')
+        super().__init__(schema, qty, shares_per_contract)
+        direction = Direction.SELL if name.lower() == 'short' else Direction.BUY
+
+        leg1 = StrategyLeg(
+            "leg_1",
+            schema,
+            option_type=Type.CALL,
+            direction=direction,
+        )
+        leg1.entry_filter = (schema.underlying == underlying) & (schema.dte >= dte_entry_range[0]) & (
+            schema.dte <= dte_entry_range[1]) & (schema.strike >= schema.underlying_last *
+                                                 (1 - atm_pct[0])) & (schema.strike <= schema.underlying_last *
+                                                                      (1 + atm_pct[1]))
+        leg1.exit_filter = (schema.dte <= dte_exit)
+
+        leg2 = StrategyLeg("leg_2", schema, option_type=Type.PUT, direction=direction)
+        leg2.entry_filter = (schema.underlying == underlying) & (schema.dte >= dte_entry_range[0]) & (
+            schema.dte <= dte_entry_range[1]) & (schema.strike >= schema.underlying_last *
+                                                 (1 - atm_pct[0])) & (schema.strike <= schema.underlying_last *
+                                                                      (1 + atm_pct[1]))
+        leg2.exit_filter = (schema.dte <= dte_exit)
+
+        self.add_legs([leg1, leg2])
+        self.add_exit_thresholds(exit_thresholds[0], exit_thresholds[1])
diff --git a/backtester/strategy/strategy.py b/backtester/strategy/strategy.py
index dfbb80c..9dba892 100644
--- a/backtester/strategy/strategy.py
+++ b/backtester/strategy/strategy.py
@@ -18,6 +18,7 @@ class Strategy:
     Takes in a number of `StrategyLeg`'s (option contracts), and filters that determine
     entry and exit conditions.
     """
+
     def __init__(self, schema, qty=1, shares_per_contract=100):
         assert isinstance(schema, Schema)
         self.schema = schema
diff --git a/backtester_demo.ipynb b/backtester_demo.ipynb
index 6e1d9c7..e606d3d 100644
--- a/backtester_demo.ipynb
+++ b/backtester_demo.ipynb
@@ -34,17 +34,6 @@
    "execution_count": 3,
    "metadata": {},
    "outputs": [],
-   "source": [
-    "# Original data\n",
-    "data = HistoricalOptionsData(\"allspx/options_data_v2_clean_compressed.h5\", key=\"/SPX\")\n",
-    "schema = data.schema"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
    "source": [
     "# Cleaned up data\n",
     "data = HistoricalOptionsData(\"allspx/options_data_v2_pruned_compressed.h5\", key=\"/SPX\")\n",
@@ -53,7 +42,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -67,16 +56,9 @@
     "We run the backtest on the date range above to compare with [this backtest.](http://dtr-trading.blogspot.com/p/spx-straddle-articles.html) We do the comparison with a [short (ATM) straddle](https://www.investopedia.com/terms/s/shortstraddle.asp) 45 DTE. Essentially the strategy consists of selling both a call and a put with (approximately) the same strike and expiration date, profiting if the underlying asset's price does not move very much. "
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "To run the backtest monthly, use the boolean parameter *monthly* on the *run* method (False by default)."
-   ]
-  },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -100,7 +82,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -112,9 +94,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "0% [██████████████████████████████] 100% | ETA: 00:00:00\n",
+      "Total time elapsed: 00:02:52\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
@@ -164,103 +154,103 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>SXZ070120C01480000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-01-20</td>\n",
-       "      <td>call</td>\n",
-       "      <td>1480.0</td>\n",
-       "      <td>-85.0</td>\n",
-       "      <td>2006-12-06</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>SXZ070120P01410000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-01-20</td>\n",
-       "      <td>put</td>\n",
-       "      <td>1410.0</td>\n",
-       "      <td>-1490.0</td>\n",
-       "      <td>2006-12-06</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>-1575.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>SXZ070120C01480000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-01-20</td>\n",
-       "      <td>call</td>\n",
-       "      <td>1480.0</td>\n",
-       "      <td>125.0</td>\n",
-       "      <td>2006-12-07</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>SXZ070120P01410000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-01-20</td>\n",
-       "      <td>put</td>\n",
-       "      <td>1410.0</td>\n",
-       "      <td>1990.0</td>\n",
-       "      <td>2006-12-07</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>2115.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>SXZ070120C01475000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-01-20</td>\n",
-       "      <td>call</td>\n",
-       "      <td>1475.0</td>\n",
-       "      <td>-130.0</td>\n",
-       "      <td>2006-12-07</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>SXY070120P01395000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2007-01-20</td>\n",
-       "      <td>put</td>\n",
-       "      <td>1395.0</td>\n",
-       "      <td>-1380.0</td>\n",
-       "      <td>2006-12-07</td>\n",
-       "      <td>STO</td>\n",
-       "      <td>-1510.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
        "      <td>SXZ070120C01435000</td>\n",
        "      <td>SPX</td>\n",
        "      <td>2007-01-20</td>\n",
        "      <td>call</td>\n",
        "      <td>1435.0</td>\n",
-       "      <td>-980.0</td>\n",
-       "      <td>2006-12-08</td>\n",
+       "      <td>-1110.0</td>\n",
+       "      <td>2006-12-06</td>\n",
+       "      <td>STO</td>\n",
+       "      <td>SXY070120P01355000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-01-20</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1355.0</td>\n",
+       "      <td>-460.0</td>\n",
+       "      <td>2006-12-06</td>\n",
+       "      <td>STO</td>\n",
+       "      <td>-1570.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>SXZ070120C01440000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-01-20</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1440.0</td>\n",
+       "      <td>-840.0</td>\n",
+       "      <td>2006-12-07</td>\n",
        "      <td>STO</td>\n",
        "      <td>SXY070120P01340000</td>\n",
        "      <td>SPX</td>\n",
        "      <td>2007-01-20</td>\n",
        "      <td>put</td>\n",
        "      <td>1340.0</td>\n",
-       "      <td>-430.0</td>\n",
-       "      <td>2006-12-08</td>\n",
+       "      <td>-480.0</td>\n",
+       "      <td>2006-12-07</td>\n",
        "      <td>STO</td>\n",
-       "      <td>-1410.0</td>\n",
+       "      <td>-1320.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>SXZ070120C01440000</td>\n",
+       "      <th>2</th>\n",
+       "      <td>SXZ070120C01450000</td>\n",
        "      <td>SPX</td>\n",
        "      <td>2007-01-20</td>\n",
        "      <td>call</td>\n",
-       "      <td>1440.0</td>\n",
-       "      <td>-870.0</td>\n",
-       "      <td>2006-12-11</td>\n",
+       "      <td>1450.0</td>\n",
+       "      <td>-520.0</td>\n",
+       "      <td>2006-12-08</td>\n",
        "      <td>STO</td>\n",
        "      <td>SXY070120P01345000</td>\n",
        "      <td>SPX</td>\n",
        "      <td>2007-01-20</td>\n",
        "      <td>put</td>\n",
        "      <td>1345.0</td>\n",
-       "      <td>-350.0</td>\n",
+       "      <td>-460.0</td>\n",
+       "      <td>2006-12-08</td>\n",
+       "      <td>STO</td>\n",
+       "      <td>-980.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>SXZ070120C01455000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-01-20</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1455.0</td>\n",
+       "      <td>-410.0</td>\n",
        "      <td>2006-12-11</td>\n",
        "      <td>STO</td>\n",
-       "      <td>-1220.0</td>\n",
+       "      <td>SXY070120P01365000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-01-20</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1365.0</td>\n",
+       "      <td>-580.0</td>\n",
+       "      <td>2006-12-11</td>\n",
+       "      <td>STO</td>\n",
+       "      <td>-990.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>SXZ070120C01455000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-01-20</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1455.0</td>\n",
+       "      <td>400.0</td>\n",
+       "      <td>2006-12-18</td>\n",
+       "      <td>BTC</td>\n",
+       "      <td>SXY070120P01365000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-01-20</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1365.0</td>\n",
+       "      <td>340.0</td>\n",
+       "      <td>2006-12-18</td>\n",
+       "      <td>BTC</td>\n",
+       "      <td>740.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -283,7 +273,7 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1336</th>\n",
+       "      <th>1329</th>\n",
        "      <td>SPX150821C01975000</td>\n",
        "      <td>SPX</td>\n",
        "      <td>2015-08-21</td>\n",
@@ -303,7 +293,7 @@
        "      <td>10410.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1337</th>\n",
+       "      <th>1330</th>\n",
        "      <td>SPX150821C01965000</td>\n",
        "      <td>SPX</td>\n",
        "      <td>2015-08-21</td>\n",
@@ -323,7 +313,7 @@
        "      <td>11410.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1338</th>\n",
+       "      <th>1331</th>\n",
        "      <td>SPX150821C01980000</td>\n",
        "      <td>SPX</td>\n",
        "      <td>2015-08-21</td>\n",
@@ -343,7 +333,27 @@
        "      <td>9910.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1339</th>\n",
+       "      <th>1332</th>\n",
+       "      <td>SPX150821C01985000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1985.0</td>\n",
+       "      <td>9390.0</td>\n",
+       "      <td>2015-08-19</td>\n",
+       "      <td>BTC</td>\n",
+       "      <td>SPX150821P01985000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1985.0</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>2015-08-19</td>\n",
+       "      <td>BTC</td>\n",
+       "      <td>9415.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1333</th>\n",
        "      <td>SPX150918C02005000</td>\n",
        "      <td>SPX</td>\n",
        "      <td>2015-09-18</td>\n",
@@ -362,78 +372,58 @@
        "      <td>BTC</td>\n",
        "      <td>9140.0</td>\n",
        "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1340</th>\n",
-       "      <td>SPX150918C02180000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-09-18</td>\n",
-       "      <td>call</td>\n",
-       "      <td>2180.0</td>\n",
-       "      <td>60.0</td>\n",
-       "      <td>2015-08-20</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>SPX150918P02205000</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>2015-09-18</td>\n",
-       "      <td>put</td>\n",
-       "      <td>2205.0</td>\n",
-       "      <td>17780.0</td>\n",
-       "      <td>2015-08-20</td>\n",
-       "      <td>BTC</td>\n",
-       "      <td>17840.0</td>\n",
-       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>1341 rows × 17 columns</p>\n",
+       "<p>1334 rows × 17 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "                   leg_1                                               \\\n",
        "                contract underlying expiration  type  strike     cost   \n",
-       "0     SXZ070120C01480000        SPX 2007-01-20  call  1480.0    -85.0   \n",
-       "1     SXZ070120C01480000        SPX 2007-01-20  call  1480.0    125.0   \n",
-       "2     SXZ070120C01475000        SPX 2007-01-20  call  1475.0   -130.0   \n",
-       "3     SXZ070120C01435000        SPX 2007-01-20  call  1435.0   -980.0   \n",
-       "4     SXZ070120C01440000        SPX 2007-01-20  call  1440.0   -870.0   \n",
+       "0     SXZ070120C01435000        SPX 2007-01-20  call  1435.0  -1110.0   \n",
+       "1     SXZ070120C01440000        SPX 2007-01-20  call  1440.0   -840.0   \n",
+       "2     SXZ070120C01450000        SPX 2007-01-20  call  1450.0   -520.0   \n",
+       "3     SXZ070120C01455000        SPX 2007-01-20  call  1455.0   -410.0   \n",
+       "4     SXZ070120C01455000        SPX 2007-01-20  call  1455.0    400.0   \n",
        "...                  ...        ...        ...   ...     ...      ...   \n",
-       "1336  SPX150821C01975000        SPX 2015-08-21  call  1975.0  10390.0   \n",
-       "1337  SPX150821C01965000        SPX 2015-08-21  call  1965.0  11390.0   \n",
-       "1338  SPX150821C01980000        SPX 2015-08-21  call  1980.0   9890.0   \n",
-       "1339  SPX150918C02005000        SPX 2015-09-18  call  2005.0   5680.0   \n",
-       "1340  SPX150918C02180000        SPX 2015-09-18  call  2180.0     60.0   \n",
+       "1329  SPX150821C01975000        SPX 2015-08-21  call  1975.0  10390.0   \n",
+       "1330  SPX150821C01965000        SPX 2015-08-21  call  1965.0  11390.0   \n",
+       "1331  SPX150821C01980000        SPX 2015-08-21  call  1980.0   9890.0   \n",
+       "1332  SPX150821C01985000        SPX 2015-08-21  call  1985.0   9390.0   \n",
+       "1333  SPX150918C02005000        SPX 2015-09-18  call  2005.0   5680.0   \n",
        "\n",
        "                                    leg_2                                     \\\n",
        "           date order            contract underlying expiration type  strike   \n",
-       "0    2006-12-06   STO  SXZ070120P01410000        SPX 2007-01-20  put  1410.0   \n",
-       "1    2006-12-07   BTC  SXZ070120P01410000        SPX 2007-01-20  put  1410.0   \n",
-       "2    2006-12-07   STO  SXY070120P01395000        SPX 2007-01-20  put  1395.0   \n",
-       "3    2006-12-08   STO  SXY070120P01340000        SPX 2007-01-20  put  1340.0   \n",
-       "4    2006-12-11   STO  SXY070120P01345000        SPX 2007-01-20  put  1345.0   \n",
+       "0    2006-12-06   STO  SXY070120P01355000        SPX 2007-01-20  put  1355.0   \n",
+       "1    2006-12-07   STO  SXY070120P01340000        SPX 2007-01-20  put  1340.0   \n",
+       "2    2006-12-08   STO  SXY070120P01345000        SPX 2007-01-20  put  1345.0   \n",
+       "3    2006-12-11   STO  SXY070120P01365000        SPX 2007-01-20  put  1365.0   \n",
+       "4    2006-12-18   BTC  SXY070120P01365000        SPX 2007-01-20  put  1365.0   \n",
        "...         ...   ...                 ...        ...        ...  ...     ...   \n",
-       "1336 2015-08-19   BTC  SPX150821P01975000        SPX 2015-08-21  put  1975.0   \n",
-       "1337 2015-08-19   BTC  SPX150821P01965000        SPX 2015-08-21  put  1965.0   \n",
-       "1338 2015-08-19   BTC  SPX150821P01980000        SPX 2015-08-21  put  1980.0   \n",
-       "1339 2015-08-20   BTC  SPX150918P02015000        SPX 2015-09-18  put  2015.0   \n",
-       "1340 2015-08-20   BTC  SPX150918P02205000        SPX 2015-09-18  put  2205.0   \n",
+       "1329 2015-08-19   BTC  SPX150821P01975000        SPX 2015-08-21  put  1975.0   \n",
+       "1330 2015-08-19   BTC  SPX150821P01965000        SPX 2015-08-21  put  1965.0   \n",
+       "1331 2015-08-19   BTC  SPX150821P01980000        SPX 2015-08-21  put  1980.0   \n",
+       "1332 2015-08-19   BTC  SPX150821P01985000        SPX 2015-08-21  put  1985.0   \n",
+       "1333 2015-08-20   BTC  SPX150918P02015000        SPX 2015-09-18  put  2015.0   \n",
        "\n",
-       "                                 totals  \n",
-       "         cost       date order     cost  \n",
-       "0     -1490.0 2006-12-06   STO  -1575.0  \n",
-       "1      1990.0 2006-12-07   BTC   2115.0  \n",
-       "2     -1380.0 2006-12-07   STO  -1510.0  \n",
-       "3      -430.0 2006-12-08   STO  -1410.0  \n",
-       "4      -350.0 2006-12-11   STO  -1220.0  \n",
-       "...       ...        ...   ...      ...  \n",
-       "1336     20.0 2015-08-19   BTC  10410.0  \n",
-       "1337     20.0 2015-08-19   BTC  11410.0  \n",
-       "1338     20.0 2015-08-19   BTC   9910.0  \n",
-       "1339   3460.0 2015-08-20   BTC   9140.0  \n",
-       "1340  17780.0 2015-08-20   BTC  17840.0  \n",
+       "                                totals  \n",
+       "        cost       date order     cost  \n",
+       "0     -460.0 2006-12-06   STO  -1570.0  \n",
+       "1     -480.0 2006-12-07   STO  -1320.0  \n",
+       "2     -460.0 2006-12-08   STO   -980.0  \n",
+       "3     -580.0 2006-12-11   STO   -990.0  \n",
+       "4      340.0 2006-12-18   BTC    740.0  \n",
+       "...      ...        ...   ...      ...  \n",
+       "1329    20.0 2015-08-19   BTC  10410.0  \n",
+       "1330    20.0 2015-08-19   BTC  11410.0  \n",
+       "1331    20.0 2015-08-19   BTC   9910.0  \n",
+       "1332    25.0 2015-08-19   BTC   9415.0  \n",
+       "1333  3460.0 2015-08-20   BTC   9140.0  \n",
        "\n",
-       "[1341 rows x 17 columns]"
+       "[1334 rows x 17 columns]"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -444,7 +434,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -461,14 +451,14 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {
       "image/png": {
-       "height": 251,
+       "height": 248,
        "width": 398
       },
       "needs_background": "light"
@@ -491,7 +481,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -507,13 +497,12 @@
     "leg2.exit_filter = (schema.dte <= 2)\n",
     "\n",
     "long_straddle.add_legs([leg1, leg2])\n",
-    "long_straddle.add_condition(['strike'])\n",
     "long_straddle.exit_thresholds = (0.25, 0.25)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -525,9 +514,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "0% [██████████████████████████████] 100% | ETA: 00:00:00\n",
+      "Total time elapsed: 00:02:43\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
@@ -556,21 +553,21 @@
        "    <tr>\n",
        "      <th></th>\n",
        "      <th>contract</th>\n",
+       "      <th>underlying</th>\n",
+       "      <th>expiration</th>\n",
+       "      <th>type</th>\n",
+       "      <th>strike</th>\n",
        "      <th>cost</th>\n",
        "      <th>date</th>\n",
-       "      <th>expiration</th>\n",
        "      <th>order</th>\n",
-       "      <th>strike</th>\n",
-       "      <th>type</th>\n",
-       "      <th>underlying</th>\n",
        "      <th>contract</th>\n",
+       "      <th>underlying</th>\n",
+       "      <th>expiration</th>\n",
+       "      <th>type</th>\n",
+       "      <th>strike</th>\n",
        "      <th>cost</th>\n",
        "      <th>date</th>\n",
-       "      <th>expiration</th>\n",
        "      <th>order</th>\n",
-       "      <th>strike</th>\n",
-       "      <th>type</th>\n",
-       "      <th>underlying</th>\n",
        "      <th>cost</th>\n",
        "    </tr>\n",
        "  </thead>\n",
@@ -578,102 +575,102 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>SXZ070120C01435000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-01-20</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1435.0</td>\n",
        "      <td>1230.0</td>\n",
        "      <td>2006-12-06</td>\n",
-       "      <td>2007-01-20</td>\n",
        "      <td>BTO</td>\n",
-       "      <td>1435.0</td>\n",
-       "      <td>call</td>\n",
+       "      <td>SXY070120P01355000</td>\n",
        "      <td>SPX</td>\n",
-       "      <td>SXZ070120P01435000</td>\n",
-       "      <td>2720.0</td>\n",
-       "      <td>2006-12-06</td>\n",
        "      <td>2007-01-20</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>1435.0</td>\n",
        "      <td>put</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>3950.0</td>\n",
+       "      <td>1355.0</td>\n",
+       "      <td>550.0</td>\n",
+       "      <td>2006-12-06</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>1780.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>SXZ070120C01440000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-01-20</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1440.0</td>\n",
        "      <td>930.0</td>\n",
        "      <td>2006-12-07</td>\n",
-       "      <td>2007-01-20</td>\n",
        "      <td>BTO</td>\n",
-       "      <td>1440.0</td>\n",
-       "      <td>call</td>\n",
+       "      <td>SXY070120P01340000</td>\n",
        "      <td>SPX</td>\n",
-       "      <td>SXZ070120P01440000</td>\n",
-       "      <td>3520.0</td>\n",
-       "      <td>2006-12-07</td>\n",
        "      <td>2007-01-20</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>1440.0</td>\n",
        "      <td>put</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>4450.0</td>\n",
+       "      <td>1340.0</td>\n",
+       "      <td>570.0</td>\n",
+       "      <td>2006-12-07</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>1500.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>SXZ070120C01450000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-01-20</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1450.0</td>\n",
        "      <td>570.0</td>\n",
        "      <td>2006-12-08</td>\n",
-       "      <td>2007-01-20</td>\n",
        "      <td>BTO</td>\n",
-       "      <td>1450.0</td>\n",
-       "      <td>call</td>\n",
+       "      <td>SXY070120P01345000</td>\n",
        "      <td>SPX</td>\n",
-       "      <td>SXZ070120P01450000</td>\n",
-       "      <td>4060.0</td>\n",
-       "      <td>2006-12-08</td>\n",
        "      <td>2007-01-20</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>1450.0</td>\n",
        "      <td>put</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>4630.0</td>\n",
+       "      <td>1345.0</td>\n",
+       "      <td>550.0</td>\n",
+       "      <td>2006-12-08</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>1120.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>SXZ070120C01465000</td>\n",
-       "      <td>280.0</td>\n",
-       "      <td>2006-12-11</td>\n",
+       "      <td>SXZ070120C01455000</td>\n",
+       "      <td>SPX</td>\n",
        "      <td>2007-01-20</td>\n",
-       "      <td>BTO</td>\n",
-       "      <td>1465.0</td>\n",
        "      <td>call</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>SXZ070120P01465000</td>\n",
-       "      <td>4800.0</td>\n",
+       "      <td>1455.0</td>\n",
+       "      <td>480.0</td>\n",
        "      <td>2006-12-11</td>\n",
-       "      <td>2007-01-20</td>\n",
        "      <td>BTO</td>\n",
-       "      <td>1465.0</td>\n",
-       "      <td>put</td>\n",
+       "      <td>SXY070120P01365000</td>\n",
        "      <td>SPX</td>\n",
-       "      <td>5080.0</td>\n",
+       "      <td>2007-01-20</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1365.0</td>\n",
+       "      <td>620.0</td>\n",
+       "      <td>2006-12-11</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>1100.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>SXZ070120C01435000</td>\n",
-       "      <td>-1220.0</td>\n",
-       "      <td>2006-12-14</td>\n",
+       "      <td>SPX</td>\n",
        "      <td>2007-01-20</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>1435.0</td>\n",
        "      <td>call</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>SXZ070120P01435000</td>\n",
-       "      <td>-1690.0</td>\n",
-       "      <td>2006-12-14</td>\n",
-       "      <td>2007-01-20</td>\n",
-       "      <td>STC</td>\n",
        "      <td>1435.0</td>\n",
-       "      <td>put</td>\n",
+       "      <td>-910.0</td>\n",
+       "      <td>2006-12-12</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>SXY070120P01355000</td>\n",
        "      <td>SPX</td>\n",
-       "      <td>-2910.0</td>\n",
+       "      <td>2007-01-20</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1355.0</td>\n",
+       "      <td>-420.0</td>\n",
+       "      <td>2006-12-12</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>-1330.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -696,157 +693,157 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1273</th>\n",
-       "      <td>SPX150918C02115000</td>\n",
-       "      <td>-410.0</td>\n",
-       "      <td>2015-08-20</td>\n",
+       "      <th>1326</th>\n",
+       "      <td>SPX150918C01975000</td>\n",
+       "      <td>SPX</td>\n",
        "      <td>2015-09-18</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>2115.0</td>\n",
        "      <td>call</td>\n",
+       "      <td>1975.0</td>\n",
+       "      <td>11190.0</td>\n",
+       "      <td>2015-08-07</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>SPX150918P02045000</td>\n",
        "      <td>SPX</td>\n",
-       "      <td>SPX150918P02115000</td>\n",
-       "      <td>-8650.0</td>\n",
-       "      <td>2015-08-20</td>\n",
        "      <td>2015-09-18</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>2115.0</td>\n",
        "      <td>put</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>-9060.0</td>\n",
+       "      <td>2045.0</td>\n",
+       "      <td>2720.0</td>\n",
+       "      <td>2015-08-07</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>13910.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1274</th>\n",
-       "      <td>SPX150918C02125000</td>\n",
-       "      <td>-255.0</td>\n",
+       "      <th>1327</th>\n",
+       "      <td>SPX150821C01965000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1965.0</td>\n",
+       "      <td>-10830.0</td>\n",
+       "      <td>2015-08-19</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>SPX150821P01965000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1965.0</td>\n",
+       "      <td>-10.0</td>\n",
+       "      <td>2015-08-19</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>-10840.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1328</th>\n",
+       "      <td>SPX150821C01955000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1955.0</td>\n",
+       "      <td>-11830.0</td>\n",
+       "      <td>2015-08-19</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>SPX150821P01955000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1955.0</td>\n",
+       "      <td>-5.0</td>\n",
+       "      <td>2015-08-19</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>-11835.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1329</th>\n",
+       "      <td>SPX150918C02005000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>call</td>\n",
+       "      <td>2005.0</td>\n",
+       "      <td>-5460.0</td>\n",
        "      <td>2015-08-20</td>\n",
-       "      <td>2015-09-18</td>\n",
        "      <td>STC</td>\n",
-       "      <td>2125.0</td>\n",
-       "      <td>call</td>\n",
+       "      <td>SPX150918P02015000</td>\n",
        "      <td>SPX</td>\n",
-       "      <td>SPX150918P02125000</td>\n",
-       "      <td>-9500.0</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>put</td>\n",
+       "      <td>2015.0</td>\n",
+       "      <td>-3270.0</td>\n",
        "      <td>2015-08-20</td>\n",
-       "      <td>2015-09-18</td>\n",
        "      <td>STC</td>\n",
-       "      <td>2125.0</td>\n",
-       "      <td>put</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>-9755.0</td>\n",
+       "      <td>-8730.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1275</th>\n",
-       "      <td>SPX150918C02100000</td>\n",
-       "      <td>-260.0</td>\n",
-       "      <td>2015-08-21</td>\n",
+       "      <th>1330</th>\n",
+       "      <td>SPX150918C02000000</td>\n",
+       "      <td>SPX</td>\n",
        "      <td>2015-09-18</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>2100.0</td>\n",
        "      <td>call</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>SPX150918P02100000</td>\n",
-       "      <td>-12820.0</td>\n",
-       "      <td>2015-08-21</td>\n",
-       "      <td>2015-09-18</td>\n",
+       "      <td>2000.0</td>\n",
+       "      <td>-5810.0</td>\n",
+       "      <td>2015-08-20</td>\n",
        "      <td>STC</td>\n",
-       "      <td>2100.0</td>\n",
+       "      <td>SPX150918P02020000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
        "      <td>put</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>-13080.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1276</th>\n",
-       "      <td>SPX150918C02105000</td>\n",
-       "      <td>-210.0</td>\n",
-       "      <td>2015-08-21</td>\n",
-       "      <td>2015-09-18</td>\n",
+       "      <td>2020.0</td>\n",
+       "      <td>-3410.0</td>\n",
+       "      <td>2015-08-20</td>\n",
        "      <td>STC</td>\n",
-       "      <td>2105.0</td>\n",
-       "      <td>call</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>SPX150918P02105000</td>\n",
-       "      <td>-13270.0</td>\n",
-       "      <td>2015-08-21</td>\n",
-       "      <td>2015-09-18</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>2105.0</td>\n",
-       "      <td>put</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>-13480.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1277</th>\n",
-       "      <td>SPX150918C02095000</td>\n",
-       "      <td>-300.0</td>\n",
-       "      <td>2015-08-21</td>\n",
-       "      <td>2015-09-18</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>2095.0</td>\n",
-       "      <td>call</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>SPX150918P02095000</td>\n",
-       "      <td>-12380.0</td>\n",
-       "      <td>2015-08-21</td>\n",
-       "      <td>2015-09-18</td>\n",
-       "      <td>STC</td>\n",
-       "      <td>2095.0</td>\n",
-       "      <td>put</td>\n",
-       "      <td>SPX</td>\n",
-       "      <td>-12680.0</td>\n",
+       "      <td>-9220.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>1278 rows × 17 columns</p>\n",
+       "<p>1331 rows × 17 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "                   leg_1                                                    \\\n",
-       "                contract    cost       date expiration order  strike  type   \n",
-       "0     SXZ070120C01435000  1230.0 2006-12-06 2007-01-20   BTO  1435.0  call   \n",
-       "1     SXZ070120C01440000   930.0 2006-12-07 2007-01-20   BTO  1440.0  call   \n",
-       "2     SXZ070120C01450000   570.0 2006-12-08 2007-01-20   BTO  1450.0  call   \n",
-       "3     SXZ070120C01465000   280.0 2006-12-11 2007-01-20   BTO  1465.0  call   \n",
-       "4     SXZ070120C01435000 -1220.0 2006-12-14 2007-01-20   STC  1435.0  call   \n",
-       "...                  ...     ...        ...        ...   ...     ...   ...   \n",
-       "1273  SPX150918C02115000  -410.0 2015-08-20 2015-09-18   STC  2115.0  call   \n",
-       "1274  SPX150918C02125000  -255.0 2015-08-20 2015-09-18   STC  2125.0  call   \n",
-       "1275  SPX150918C02100000  -260.0 2015-08-21 2015-09-18   STC  2100.0  call   \n",
-       "1276  SPX150918C02105000  -210.0 2015-08-21 2015-09-18   STC  2105.0  call   \n",
-       "1277  SPX150918C02095000  -300.0 2015-08-21 2015-09-18   STC  2095.0  call   \n",
+       "                   leg_1                                               \\\n",
+       "                contract underlying expiration  type  strike     cost   \n",
+       "0     SXZ070120C01435000        SPX 2007-01-20  call  1435.0   1230.0   \n",
+       "1     SXZ070120C01440000        SPX 2007-01-20  call  1440.0    930.0   \n",
+       "2     SXZ070120C01450000        SPX 2007-01-20  call  1450.0    570.0   \n",
+       "3     SXZ070120C01455000        SPX 2007-01-20  call  1455.0    480.0   \n",
+       "4     SXZ070120C01435000        SPX 2007-01-20  call  1435.0   -910.0   \n",
+       "...                  ...        ...        ...   ...     ...      ...   \n",
+       "1326  SPX150918C01975000        SPX 2015-09-18  call  1975.0  11190.0   \n",
+       "1327  SPX150821C01965000        SPX 2015-08-21  call  1965.0 -10830.0   \n",
+       "1328  SPX150821C01955000        SPX 2015-08-21  call  1955.0 -11830.0   \n",
+       "1329  SPX150918C02005000        SPX 2015-09-18  call  2005.0  -5460.0   \n",
+       "1330  SPX150918C02000000        SPX 2015-09-18  call  2000.0  -5810.0   \n",
        "\n",
-       "                              leg_2                                       \\\n",
-       "     underlying            contract     cost       date expiration order   \n",
-       "0           SPX  SXZ070120P01435000   2720.0 2006-12-06 2007-01-20   BTO   \n",
-       "1           SPX  SXZ070120P01440000   3520.0 2006-12-07 2007-01-20   BTO   \n",
-       "2           SPX  SXZ070120P01450000   4060.0 2006-12-08 2007-01-20   BTO   \n",
-       "3           SPX  SXZ070120P01465000   4800.0 2006-12-11 2007-01-20   BTO   \n",
-       "4           SPX  SXZ070120P01435000  -1690.0 2006-12-14 2007-01-20   STC   \n",
-       "...         ...                 ...      ...        ...        ...   ...   \n",
-       "1273        SPX  SPX150918P02115000  -8650.0 2015-08-20 2015-09-18   STC   \n",
-       "1274        SPX  SPX150918P02125000  -9500.0 2015-08-20 2015-09-18   STC   \n",
-       "1275        SPX  SPX150918P02100000 -12820.0 2015-08-21 2015-09-18   STC   \n",
-       "1276        SPX  SPX150918P02105000 -13270.0 2015-08-21 2015-09-18   STC   \n",
-       "1277        SPX  SPX150918P02095000 -12380.0 2015-08-21 2015-09-18   STC   \n",
+       "                                    leg_2                                     \\\n",
+       "           date order            contract underlying expiration type  strike   \n",
+       "0    2006-12-06   BTO  SXY070120P01355000        SPX 2007-01-20  put  1355.0   \n",
+       "1    2006-12-07   BTO  SXY070120P01340000        SPX 2007-01-20  put  1340.0   \n",
+       "2    2006-12-08   BTO  SXY070120P01345000        SPX 2007-01-20  put  1345.0   \n",
+       "3    2006-12-11   BTO  SXY070120P01365000        SPX 2007-01-20  put  1365.0   \n",
+       "4    2006-12-12   STC  SXY070120P01355000        SPX 2007-01-20  put  1355.0   \n",
+       "...         ...   ...                 ...        ...        ...  ...     ...   \n",
+       "1326 2015-08-07   BTO  SPX150918P02045000        SPX 2015-09-18  put  2045.0   \n",
+       "1327 2015-08-19   STC  SPX150821P01965000        SPX 2015-08-21  put  1965.0   \n",
+       "1328 2015-08-19   STC  SPX150821P01955000        SPX 2015-08-21  put  1955.0   \n",
+       "1329 2015-08-20   STC  SPX150918P02015000        SPX 2015-09-18  put  2015.0   \n",
+       "1330 2015-08-20   STC  SPX150918P02020000        SPX 2015-09-18  put  2020.0   \n",
        "\n",
-       "                               totals  \n",
-       "      strike type underlying     cost  \n",
-       "0     1435.0  put        SPX   3950.0  \n",
-       "1     1440.0  put        SPX   4450.0  \n",
-       "2     1450.0  put        SPX   4630.0  \n",
-       "3     1465.0  put        SPX   5080.0  \n",
-       "4     1435.0  put        SPX  -2910.0  \n",
-       "...      ...  ...        ...      ...  \n",
-       "1273  2115.0  put        SPX  -9060.0  \n",
-       "1274  2125.0  put        SPX  -9755.0  \n",
-       "1275  2100.0  put        SPX -13080.0  \n",
-       "1276  2105.0  put        SPX -13480.0  \n",
-       "1277  2095.0  put        SPX -12680.0  \n",
+       "                                totals  \n",
+       "        cost       date order     cost  \n",
+       "0      550.0 2006-12-06   BTO   1780.0  \n",
+       "1      570.0 2006-12-07   BTO   1500.0  \n",
+       "2      550.0 2006-12-08   BTO   1120.0  \n",
+       "3      620.0 2006-12-11   BTO   1100.0  \n",
+       "4     -420.0 2006-12-12   STC  -1330.0  \n",
+       "...      ...        ...   ...      ...  \n",
+       "1326  2720.0 2015-08-07   BTO  13910.0  \n",
+       "1327   -10.0 2015-08-19   STC -10840.0  \n",
+       "1328    -5.0 2015-08-19   STC -11835.0  \n",
+       "1329 -3270.0 2015-08-20   STC  -8730.0  \n",
+       "1330 -3410.0 2015-08-20   STC  -9220.0  \n",
        "\n",
-       "[1278 rows x 17 columns]"
+       "[1331 rows x 17 columns]"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -857,12 +854,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -892,7 +889,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -922,7 +919,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -934,9 +931,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "0% [██████████████████████████████] 100% | ETA: 00:00:00\n",
+      "Total time elapsed: 00:04:28\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
@@ -1136,7 +1141,7 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>546</th>\n",
+       "      <th>550</th>\n",
        "      <td>SPX150821P00800000</td>\n",
        "      <td>SPX</td>\n",
        "      <td>2015-08-21</td>\n",
@@ -1160,7 +1165,7 @@
        "      <td>-49045.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>547</th>\n",
+       "      <th>551</th>\n",
        "      <td>SPX150918P00500000</td>\n",
        "      <td>SPX</td>\n",
        "      <td>2015-09-18</td>\n",
@@ -1184,7 +1189,7 @@
        "      <td>-39960.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>548</th>\n",
+       "      <th>552</th>\n",
        "      <td>SPX150918P00600000</td>\n",
        "      <td>SPX</td>\n",
        "      <td>2015-09-18</td>\n",
@@ -1208,7 +1213,7 @@
        "      <td>-49100.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>549</th>\n",
+       "      <th>553</th>\n",
        "      <td>SPX150918P00700000</td>\n",
        "      <td>SPX</td>\n",
        "      <td>2015-09-18</td>\n",
@@ -1232,7 +1237,7 @@
        "      <td>-54100.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>550</th>\n",
+       "      <th>554</th>\n",
        "      <td>SPX150918P00825000</td>\n",
        "      <td>SPX</td>\n",
        "      <td>2015-09-18</td>\n",
@@ -1257,7 +1262,7 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>551 rows × 33 columns</p>\n",
+       "<p>555 rows × 33 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -1269,11 +1274,11 @@
        "3    SPV090117P00300000        SPX 2009-01-17  put  300.0  -5.0 2008-12-03   \n",
        "4    SPV090117P00200000        SPX 2009-01-17  put  200.0  40.0 2008-12-04   \n",
        "..                  ...        ...        ...  ...    ...   ...        ...   \n",
-       "546  SPX150821P00800000        SPX 2015-08-21  put  800.0  -0.0 2015-08-19   \n",
-       "547  SPX150918P00500000        SPX 2015-09-18  put  500.0  -0.0 2015-08-20   \n",
-       "548  SPX150918P00600000        SPX 2015-09-18  put  600.0  -0.0 2015-08-21   \n",
-       "549  SPX150918P00700000        SPX 2015-09-18  put  700.0  -0.0 2015-08-21   \n",
-       "550  SPX150918P00825000        SPX 2015-09-18  put  825.0  -0.0 2015-08-21   \n",
+       "550  SPX150821P00800000        SPX 2015-08-21  put  800.0  -0.0 2015-08-19   \n",
+       "551  SPX150918P00500000        SPX 2015-09-18  put  500.0  -0.0 2015-08-20   \n",
+       "552  SPX150918P00600000        SPX 2015-09-18  put  600.0  -0.0 2015-08-21   \n",
+       "553  SPX150918P00700000        SPX 2015-09-18  put  700.0  -0.0 2015-08-21   \n",
+       "554  SPX150918P00825000        SPX 2015-09-18  put  825.0  -0.0 2015-08-21   \n",
        "\n",
        "                        leg_2             ... leg_3               leg_4  \\\n",
        "    order            contract underlying  ... order            contract   \n",
@@ -1283,11 +1288,11 @@
        "3     STC  SPZ090117P00765000        SPX  ...   BTC  SXB090117P00980000   \n",
        "4     BTO  SPZ090117P00765000        SPX  ...   STO  SXB090117P00975000   \n",
        "..    ...                 ...        ...  ...   ...                 ...   \n",
-       "546   STC  SPX150821P01845000        SPX  ...   BTC  SPX150821P02600000   \n",
-       "547   STC  SPX150918P01900000        SPX  ...   BTC  SPX150918P02450000   \n",
-       "548   STC  SPX150918P01895000        SPX  ...   BTC  SPX150918P02500000   \n",
-       "549   STC  SPX150918P01890000        SPX  ...   BTC  SPX150918P02550000   \n",
-       "550   STC  SPX150918P01880000        SPX  ...   BTC  SPX150918P02400000   \n",
+       "550   STC  SPX150821P01845000        SPX  ...   BTC  SPX150821P02600000   \n",
+       "551   STC  SPX150918P01900000        SPX  ...   BTC  SPX150918P02450000   \n",
+       "552   STC  SPX150918P01895000        SPX  ...   BTC  SPX150918P02500000   \n",
+       "553   STC  SPX150918P01890000        SPX  ...   BTC  SPX150918P02550000   \n",
+       "554   STC  SPX150918P01880000        SPX  ...   BTC  SPX150918P02400000   \n",
        "\n",
        "                                                                   totals  \n",
        "    underlying expiration type  strike     cost       date order     cost  \n",
@@ -1297,16 +1302,16 @@
        "3          SPX 2009-01-17  put   980.0 -13250.0 2008-12-03   STC  -2315.0  \n",
        "4          SPX 2009-01-17  put   975.0  14870.0 2008-12-04   BTO   4880.0  \n",
        "..         ...        ...  ...     ...      ...        ...   ...      ...  \n",
-       "546        SPX 2015-08-21  put  2600.0 -52120.0 2015-08-19   STC -49045.0  \n",
-       "547        SPX 2015-09-18  put  2450.0 -41660.0 2015-08-20   STC -39960.0  \n",
-       "548        SPX 2015-09-18  put  2500.0 -52480.0 2015-08-21   STC -49100.0  \n",
-       "549        SPX 2015-09-18  put  2550.0 -57480.0 2015-08-21   STC -54100.0  \n",
-       "550        SPX 2015-09-18  put  2400.0 -42490.0 2015-08-21   STC -39160.0  \n",
+       "550        SPX 2015-08-21  put  2600.0 -52120.0 2015-08-19   STC -49045.0  \n",
+       "551        SPX 2015-09-18  put  2450.0 -41660.0 2015-08-20   STC -39960.0  \n",
+       "552        SPX 2015-09-18  put  2500.0 -52480.0 2015-08-21   STC -49100.0  \n",
+       "553        SPX 2015-09-18  put  2550.0 -57480.0 2015-08-21   STC -54100.0  \n",
+       "554        SPX 2015-09-18  put  2400.0 -42490.0 2015-08-21   STC -39160.0  \n",
        "\n",
-       "[551 rows x 33 columns]"
+       "[555 rows x 33 columns]"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1317,12 +1322,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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4fep2uuesacjREUV39wNbcbhzOOL6ZS0V+NgFCyOmrcey+3A/th/oBQD0DI7j7ps3pOU4afp6bstR1eXDncNoqY8dnI5PevHdP27Dka4RXLaxGR85e36mDpGIiGYAflxFs5rZZIoYWLispQK15c4cHVF02gCkssSBOz6yAl+8dlVcAcglmnqRUAACAJ19Lvj9HGg423X0jqku/+hPO7DzYC8m3N6o9/vrG4dxpEtuE/3Um+0Yn4y+fjryBwLYfqAXBzuGcn0oRETTHjMhNOvVlBeoCsHPXzMnh0cj+8C6Rry49bjh7RazCZdsmIeLNzSpZorEsmJ+BZ7ZrD/UEJCnrGeyWJ/yn9vjV10ecXnwoz/thNkkoLWhBEubK7C0uQLN9cWqbVfPv6NuIb39QC9OX1aXlWPOlkdePIB/BFtlf+JCEeflwe8KIqLpimcbNOudubIe+4/Ln2zWlBVg5YLKHB8RsHhemWEQsmZhFa77wELUGNSzRBNrr/6E2wunw4IXtx7Hk5sOw2oxob6yUP5T5URDZSHqK50odtqiPg5NX+/t69G93ucPYN/xIew7PoQn3jgMh82MxfPKsbS5HEubKyLW//rJPTMuCNl+YOq1efjF/Vg0twxzqhLbAklERDIGITTrbVxeh4GRSfQMjOPiDU0wm3K/S9Eou/H5a1ZhZWvyQZIjRreucbcPbo8Pj758AB6v/Il43/Ak3j/cr1pXVGBFQ6UT9VVygNJQ6UR9ZSEqSuwQ4pwKT/nneM9o3Gsn3D5sP9Cr2tI307m9U1kij9eP/3lyD75ywzoW4hMRJYFBCM16ZpMJV5zRkuvDULHrDCv82o2noqmuOKXHLdB5XKWTfWOwWUzhAMTI6Lgn/Km4kt1mRn2FHJA0VDmDWRQnasoL8iK4o+j+odlSBQCXb2xGY00R9rT3Y097P3oGJ3JwZPlBWzN1pGsEf33jMDYur0NFiSOhrZFERLMdgxCiPKR3MlNZ6kj5cR226P/kX91xAledpe5qVFZkw4jLA18cReuTbh/aT46g/eSI6nqzSUBthRP1wYxJKHNSV+kM/6zHukfxtfu3AAC+d+vGtPy8lBi9xgTrxGrMqy3GqYtrAADdg+Noa+/HnvYBtB0ZwOh49Jk2M4nPF/n6PP3WETz91hHUVzpx58fWorSQWxWJiOLBIIQoDzl0MhbpmGyu97hKuw/1Y83CatV1//Th5ZjfUIKewXF09rnQ2TeGE73y185+FybdvpjP6/MHcKJ3DCd6xwBM7asXIAdX9ZWF2HWoL3z9v/78zYTmU1DmmDVbjWrKClCzeg7OWT0H/kAAx7pGw1mS3e0DqrUPPCfh4x9cBJNpZmzRixaId/a58N8Pb8c3b1qfxSMiIpq+GIQQ5SGnpm2wOLcsLY9rMgmw28yGgUMAkVtyHDYzLOapAnVgKkgJBAIYGJnEib4xdAYDkxPBQCXW1PfQ8/UOTaB3aPZu8cl3ZUXGn+ybBAFNdcVoqivGxRua8Klvv6S6/ZVtHRgec+MzVyyF1TL9tyr5/FPbFE2CAH9AHZQc7xnFtn09WLOoWntXIiLSYBBClIeKCqxY2lyOPe0DsNvM+OSlS9L22AVRghAAONnvivuxBEFARYkDFSUOLG9RF8yPuNzo7HOpApTOvjH0DU8mfeyUfc4YzQyU1onV2Cqpu2u9t68HP3hkBz579UqMTXhgEoRpu9VOmQlpqS/GwRORg0MffF6COK+cra6JiGLgb0miPPX5a1bh/cP9aKwuRFVp4u14jRTYLRgcdcdemKJipw3FThsWabI4E24vTva70NkbDFD6XGg70o/xydjbuih1AyOTCAQCqCiJDASsOrVIiXQ7KzFo3SwdG8QdP3otfPmWK5Ziw9Lp1b7XHwhAmfiorXDqBiGDo2489upB3HChmMWjIyKafhiEEOUpi9mE1Quq0v64esXp566Zg1e2daT9uYyev7muBM11JeHrfvfsXry240RWnn8229LWhV/+dTcA4IJT5uKa81pV7WUL7KltmRocjS/L9au/7cFpS2qnVTtnbVF6tDk9r2zrwGlLaiDOK8/0YRERTVvsmUk0y1jNkSd+axYaBzu2LLQdnd9Qonv9geND+OXfduMPz+/D23u60MfakZRs2nUSAQRrf949hu/88T30D0+9pgUxuqfF0jqnVHX5hgtFlDj1Gyoc6ozMIuQzZT0IAFit0f/7/N3fJXi8zO4RERlhJoRolnHpbHuaV1NkuL4ggZqAZDXrzD9xe3z48Z93hlvAvviePEG+vNiOhY2lWDCnFAsaSzG3pogzSOLk9qj/7g92DOPrv30Ht1y+FMvnV6YccJ62pBZ/23QYbo8fK1srcc7qBixpLsd/P7w9ovnAO23dKCqw4qEX9sNsEnDDRYvzur2ttn2x3nvutKW1eHtPFwCgq9+Fv21qx9XntGbl+IiIphsGIUSzjGsysmtVSZSTP2eKW3Ti0VgdGQQd6BjSnUExMDKJLW3d2NLWDUCeqTK/oQStc0qxsLEUrQ2lLAo2oLf7aXTcgx8+ugOXn9GMugqn6rYL189N6PErSx347j9txIneMbTOKYEgCKgtd+IzH16Gux/Yqlr7zt5uDI25sfOg3JrZ52/D569ZldgPlEXeiCBEwGUbm/DUm0cAACvmV+L6CxZi9+H+8Pv2728fxamLazCvNrUho0REMxH/pyaaZcYmvKrLN126xHBvvsVsykprVZNJQOucEhzskLfoVJTYsffoYFz3nfT40HZEHpwHyLNHGqoLsTCYKVnQWIbqUse0qj/IFI/Xr3t9AMDfNrVHXH/q4tqEn6Ok0BYR1BbrFKwPjEyGswYAsPNgH/qGJvK2c5a2JsRsEnDh+nkYHfdibNyDj5w9HyVOG66/YCF+/eQe+T7+AO57fBduu3IFmnSyfUREsxmDEKJZZlFjmWow4Pol8iTsa89bgEdfPqBaW1liz9pxNddNBSH9w5PYvPtk+Laa8gJ88uLF2H98CAc6hnDg+BBck17dxwkA6OgZQ0fPGF7ZLhe7lxbawtu3FswpRVNdsaogezZ4bccJVTenZS0VKC+2442dnYb3sejUDyUj1pDMkNd3nsCVZ81Py3Omm3Y7lskkoNBhjeiCtWFpLTbv7gr/G+sZnMDdD76La89bgA+sa2QwTEQUxCCEaJa58qwW7Gnvh88fwDqxOpzp0G7FAYAlzRVZOy5t7YmyhmBVaxXEeeXhbkP+QACdfS4cOD6IA8HApGtg3PCxh8bc2LqvB1v3yTMsrBYTWuqK0dpYiiVN5VjWXDGjTw7bjgzgweck1XUXrGvEqgVVWNRYhv99XoLbIEuSDgVxByGduPyM5rys8QlAHYQYvV0EQcD/d5GIux/cioERuVuY1xfAH1/Yj7YjA/jkJUtQVKBfrE9ENJswCCGaZVrqS/CNT61H9+A4lrdMBRl67VmXZTUI0T9RLS+249KNTarrTIKAOVWFmFNViHNWzwEADI+5w1mSAx1DaD85DK9mC02Ix+vHvuND2Hd8CM9uPopzVzfghosWp/cHyhNd/S787PFdqkF7l29sxqpg++czV9ajua4YP3psB/ozNEgy3qzTwMgkdh3sx+oo3doAwOP14cWtHXBNevGBdY15V9BeUeLA1z55Kn7zVJsq67htfy+O/nYLPnPFcixoLI3yCEREMx+DEKJZqKGqEA1VharrSosit14taSqLuC5T9LpwmU0CbrtqueEQPKWSQhvWLqrG2kXVAOQT1faTI+GgZP9x/UJ3QP4E/v9+aFFefgKfikm3Dz96bKeqDujUxTX48FktqnWNNUVYtaAKL7+nnhVjTtOWNUEQ8KlLluDhF/cbbqMLeXV7R8wg5LUdneGtgyf7xnDbVSvScpzpVOK04XPXrMTzW47hz68eDAeBfcOT+PYf3sNVZ7fg4g1NMM3gDBwRUTQMQogIAHQ/TXY6srdtRG9GxbXnL0BrQ3KfGFstZixsLMPCRjmQCgQC6BoYDwYlg9jTPhDe8uXzBzAwMpnWyfT5YNv+HnT1u8KXW+qLcdOlS3RPfPWG71kt6QvKzlxZjzNX1uM/fvM2OnrGDNe1HR1AIBCIuj3usVcOhr9/V+qBx+tP67Gmi0kQcNFp87Bobhl+8df3w+83fyCAP796CG1HBnDzZUt1PwAgIprp8u+3NhHlRDbmgURTpDPUblFj+jIxgiCgrsKJM1fW48aLl+DjH1IXFGdqK1Iu9Y+of6bbrlxhOAtENwjJQPG+I8YsErfHjwl39CF/k5p5J8e6R1M+rkya31CCr39yPU5ZXKO6fk/7AL52/5a8P34iokxgEEJEeaFepzA+k7Sdv2bDNPZig+nlAFBWHPlpfCayC4VxFGUPj7mj3t5Sr253e/DEUErHlA1OhwW3fngZbrhIVL2uwy4Pntx0OIdHRkSUGwxCiCjs3DVzwt9fdXZ2W6WW65wEWzK4xUY7j6J3eOYHIdHM0dQIAZkJQsri2Ho0FCMIqS1XB6yHFK2H85kgCDh39Rz8xw2noEIRBPcMZu69NzAyidd2nEDPoHH3OCKiXGBNCBGFXXf+AtSWF8BmNePsVfVZfW69GoBMdj1y2CwodFjCRdv9szwI0dumlYntWBU6waZWrEyI9q1ysCP/MyFKjTVFWDyvHG++L8/CGXZF/3mT5fH68Y3fbsGwy4MCuwXfv21jzrddEhGFMBNCRGF2qxkXrp+H89bMyUmnKLtmnkShI7MnTJUlU9mQmVgTkiqTKf2dm/QyXlqJnpT3Dk3EzJ7kG+VU+eExNwIB/XbSqdi85ySGXXJHuPFJL14NDu8kIsoHDEKIKG/c+uFl4e9PWVyT8QGCyk+FJ93RW8fOBiVRakbSJa4gJImA4tA0qAtRUrad9vkDqjbK6TLi8mguT69AjYhmtrzOy4qieAGAfwNwKgAHgEMAHgDwfUmSvJq1FQC+CeAyADUA2gB8V5KkR3Qe1wngLgDXA5gD4DCA+wD8TJKkgGatBcBnAdwMoAVAJ4DfAvi2JEkRQwdEUbwBwBcALAIwAOBRAF+VJCmi/YkoipcC+HcAywGMA3gSwF2SJHXH8fIQzTgr5lfiC9euQu/gOE5bWpfx57Napz6HyeTE8Oni5suX4QePbEcAwIZltRl5jswFIcNYs7A6mUPKCe1Ww+Exd1onqQcCAWzb36O6LhOZLSKiZOVtJkQUxY8DeB7AegB/AfCL4E3/BeDPoigKirWFAP4B4DYAmwH8FEAZgIdFUbxD87hmAH+CfPIvAbgXgCd4n+/pHMp9AH4AoC+4tgNysPOQzjHfBeD3kF/XnwDYATkgeV4URZtm7fUAnoIcMP0cwEsAbgTwpiiK2ZsQR5RHBEHAivmVOG9tI5wZ3ooFADbL1PYvD4MQLGupwJdvWIdbr1yOT12yJCPPEd92LP2hktFMt7qQEk0Qku7tZC9uPY6DHeqCfTODECLKI3kZhIiiWADgxwCGAayWJOlTkiR9HsAqAM8CuALAVYq7fA7AWgCflSTpo5Ik3QlgNYDdAL4jiqKyOft1AC6BnE25VJKkLwE4BXIQ8EVRFMOjd0VR3AjgFgCPATg7uPZsyNmYq0VRvEyxdh7k4OQtAKdIkvQlSZIuBfAtAKcHHye0tghy0HMIwBpJku6UJOmjkLMtrZADJCLKMJtFmQmJPptitmhtKMWpi2tgyUBROiBvgYt1KpzM30UmO0xlgjYISSb7E80fX9gfcR0zIUSUT/IyCAFwHoByAP8jSVK4gXpw+9M9wYsXK9bfBqALU9kSSJI0AuBuAE4AH1OsvR2AV/E4ocf9dwACgJs0awHgG6FtWsGvdwEIAPi0Yu1nIG9vu0ezTeseyMGUcu31ACoA/FCSpPBHVZIk3Q85O3NjMGNDRBmkbEHbMzgBnz//siEDI5N4ZvMRSEcHcn0oaSEIguHAxBCfL/Ei7bGJxLMnuZRoENIzOI77n27Doy8fSDprx0wIEeWTfA1C2gF8GfI2LK1QC5siABBFsRVyXcfrkiRpPz57Ofj1nOBaO+TtXdslSdL+j74FgCu0NuhsAL2SJL2vXChJ0gkA+3TWAsCrmrUTkLMjq0RRLNWsfRmRXgFQCblOhIgySDsH43+f35fQ/QOBALoHXPD6Mp+l4G0AACAASURBVBO8jI578K3fv4PHXjmI7z20HW1HZkYgYrNG/tejPEH2JfF6Trh9Gft7yARt57eJGI0RHn5xP97Y1Ym/v30UT73ZnsEjIyLKjrwsTJckaQ+APQY3h7Zh7Q5+bQ1+PajzOCdFUZyAXCQOAE2Qf2a9tT5RFI+F1gYDlkYAbxscR7u8TKyWJKkneBxdwQyM3loEH/sdxTEfirF2h8Fzx1RdXRx7UY7k87HNNHyto7Pa1L8C393bjX/5xKlx3//yf/5r+Ps/fPPiiE+3U/XQI9swOCp/Qu4PBPD464dw5tpz4t5WU1iorr+oqi6GPUYWIhscdktE5yarxQSfW/4cSTCZDN+71dXFsDv0C7gdTjvKSxy6t6UqYFa/biXFjpT+fWlb8todtqiPt21/b/j7J99sxy1Xr4r6+MVOa8RrbLdb4z5m/u7IHr7W2cPXOr/kayZElyiKSyDXf0xCLgAH5KwBAAwa3G0YQGmca4cAOIMdsSriWAvNYyeydlKSJL0Rttq1RJQh2m1BiWwCOqQphP7fv7el4Yim7DrYi39sOaq67sDxIby5a/rPetALhJQ1KN4kt8VNpxa0giDAYp4KJhPN4pzsG4t6e2NN5MnWH5+X0DPAyelElB+ymgkRRbEdcjYimvskSbpDe6Uoio0AnoFc4/FFSZKOBW8KfSRmNGlsMnifeNcCcjvgRNaGHjsTa5PS06OXkMmt0CcQ+XhsMw1f6/h4PeotMG6Pz/A18wcCeGNnJ4bG3LhgXSMOHlN/5tDRNZK219vj9ePHD2/Tve13T+3BgrqiuIZJjo2pf8309ozErMfIBq9OTYMyuTMx6Y14LZXv6UmD+o9jJ4ZQYM5M3UPfkPrkfXhkIuW/b5NJAIL1L4k+3ivvHMUH1jUa3m4xyJZ96j+fx5VnteDc1XN0M3f83ZE9fK2zh6915iWTZcr2dqzHAcRq5L5Fe4Uoigsgt+BtBvBLSZJ+qLg59D+D0T4IO4CxBNYGINeGFMSxFprHzsRaIsoQZYteAPBGKYh+fccJ/P7vEgBg18E+XLxhXsaO69nNR3Cy3xW+7LCZMRHcqtTV78KmXSdx9qqGjD1/pil/thCzIhOSTGE6INfQTCcWkwluyAGZzx/9Z64ssaNveCqofP9QX9QgJJonXj+MXQf78JUbTknq/kRE6ZDVIESSpC8keh9RFE8F8DTk4OUXkDthKYUqNY22L5VA7pwVz9pSAKOSJPlFURwC4I+xFpjaPjWQ4FqHKIp2SZK0GRHtWiLKkERalh48MTVz4UDHEN7Y2ZmJQ0Jn3xieeqs9fLnQYcG/fWwt7n5wKyY9ciDy1zcOY8PS2rzIaqSLsjA92QLzsWkWhJjN8Rfja9+rbUcH4PH6YLUk9x44eGIYfn+AbXuJKGfyuiZEFMUPQu4gVQ259e2t2onmkLtUAfI0c+396yFva5KCV7UDcBusNQOYG1orSZIbwBG9tYrn65UkqV9xHLXBGSd6a/0A9ivWAnJmR28tFMdMRBniSWE2iLJQOF0CgQAefE5SZWSuOW8BGmuK8MFTpz71HhiZxEvvdaT9+XNJWRMSKytgZHSatelV18Ek9jO7PX7sO57aZ1WcjUNEuZS3QYgoihsAPAG5nuPzkiR9RW+dJElHARwFcKYoitqf59zg17eCa72Qu12tEUVRu3ltffC53lJc9waAOlEUFykXiqLYAGChzloTgLM0ax0ANgDYreic9Ubwq7LFr/KYhwCkt8qViCK4PepPn/Vax8YrHVmJTbtOYu/RqVqTRY2lOHNlPQDgovVNqrauz2w+Mq1a0saiygokG4RMt0xIim2Jdx/uj70oCneS80aIiNIhL4OQ4ETxRzBVhH5vjLs8CLmdbrigPRhkfAVy/cWDirUPQK67+IZirRXyZHMA+LVmLQDcEwpwRFEUAPwX5MGGv1Ks/QMAH4CvB9v7hnwZ8pYw5donAIwAuFMUxVAXLoii+CnIrXn/R5Ik/u9AlGFFBepWr+VFdoOVsc2pKkzpWIZdbjzy0tSUa7NJwA0XLYZJkE9UnQ4LLjptqg5ldNyDnsGZ0+nIYlLWhCT36298IvqsjXxjTjH7k2qnK4+H/80QUe7k5ZwQALcAmAegH0CZKIpf11mzV5Kkh4PffxfAtQDuFUXxHMhzQK4GMB/AZ4NzPEJ+C+CTAL4giuIKAFsBXARgFYDvS5K0K7RQkqQXRFF8BMB1AN4SRfFlABshZzseg1yrEloriaL4fQD/BmCbKIpPAlgG4FIAm6AIbiRJ6hdF8U4APwewXRTFRyEPXLwW8lat8DR3Isqcc1Y34C+vTY3rWSfWJP1YlSnOp3j0pQMYU5xEX3p6Exo0gU1TnTqBO+LyoL4SM0JRwdR/R8qtSbvb+/Hiu8exZnENrjp3QdTHSHRLU66pW/QmfuxDKbYk5nYsIsqlfA1CQhPFKwB8zWDNXwE8DACSJA2LongW5JP3yyEHFXsBXK8IVBBc6xNF8SLImZBrAZwJOWi5A3JQoPUJyIMRbwTwechbv74K4Ls69Sl3ATgGuXj+cwBOAvghgG9oC9AlSfqFKIoDAO4EcDvkgOv3AL6iqDMhogwqdqqb1Akp1Oj6kpxtAQB72vvx5vsnw5drK5y49PTIbubFBerjjTUXwz+NTsqrygoQ6h0SyoS4Jrz42ePvY3zSi+0HerFwbjnqSo2zVcl21cqVVIvxh0dTC0I83I5FRDmUl0GIJElXJnGfLgA3xbl2BMAXg39irfVA3qr1rTjWBgDcF/wTz3E8AnnbGRHliN1qDnedivekTHmfkFRO6B596YDq8g0Xirpdj4qd6u1jw67oNRBDipNUu9UMqyU/duCesbwOmxRBF6AOCH2+AAKBAN6VujE+OZUden17B645Z77h46YSCOZCqsX4Q2OpZkKm1+tFRDNLfvyPRESUI8lMrXY6LPi/H1T1q4AnyToGt8eHo92j4csbltZiSVO57lpt5iZWJqR/ZCL8fUWJHUIqqZ40uuCUuRHXKf8eApCHQ7YdGVCtidVONp4T+YGRSRzsGMqLgMWSYmH6pMeHCXfydTCuadZNjIhmFgYhRDSrKbMDiWQzzl2jHhaYbJGv9rR5bk2R4VqrxYQC+1SGZCRGJqRfMdyuojj5ovt005vUbdYEGG6PH7sO9qmum3RHr2GItR2ro3cMX/7VZtz94Fb85qnEGhBmYmebOYUWvSGpZEMGRrRjqoiIsodBCBHNaqpZDQl8Gm02mVQnzslmQhKlrAtJJBNSnmLhfDrpbQtT/j0AQNuRAbgm1Z/yD41FP2n2B6KfyL8ndYe30W3e04U97fGX32k7bzntqe9mTmRYoZGhFOpCGIQQUS4xCCGiWS3ZTAigniuSrSJfZV1ItEyIx+tT3Z5PmRBtEGI2CRGZkK1Sd8T9YhVixzqRn9BkUv7y2iEEYgQuIdpBiNr2zslQtyVOLhMynEImZHCUQQgR5Q6DECKa1ZQnxIm2SVUOKMxeEBJfJqRf8yl3RR5lQmwWE6pKp47n5suXRmRC3lV1VpfFOmmOVROi/Ts6dGIYOw70GaxWG9MMQixMQxCizIQkux1rPIWakIGR1ArbiYhSwSCEiGY1ZSCRaJGvsoNVtmYuKKema7crKSnrQQC5MD1fCIKAW69cjnViNT58ZgvWLqqOyIToBXV9Q+NR2w7HOpHX2273l9cOxdzGBUROY09LJiTJrYBKycwXCeF2LCLKpbxs0UtElC1FjqmTydHxxIIQWwpbuZJlVQRN3ijP2T88obpcUZw/mRAAaKkvwe1XrQhf1mZC9Hh9gYifS0lvS9OuQ314e08X1onVunU7x3tG8e7ebqxfUhv1ubVBSKEjDZkQVXes5IKJZIMXgNuxiCi3GIQQ0axWqJjUPZZgy9JcbMdStrL1RDlxjdyOlT+ZED3KrUnRdA+OG96mbbvbPzyB+x7fBbfHj827u7CgsVT3fo+/fhjrxGqYTcaBkDIISdfMFVV76CRbBscThFSU2FFgt6Cz1wWLWQjPBxkd9yAQCORN62Yiml24HYuIZjXlJ9raff+xqIras9QdK95C+gFFxsBpt8Bhy+/PnKIFAErdg+OG7XK1NSFPvdkOd7B1sj8QwL5jg7r36+p3Ydu+3qjPO6bIkhUVpOe1NKehMD1aNiyktNCGb35qPX7xL+fg8jOaVbdxajoR5QqDECKa1ZQFxm6vH25P/LUdtji3RqWTVVNHYNTdSZkJyfcsCBA5J8RI98C44WutPZHfe1Q/6ACAyhIHlAmAI10jAOQBfi+9dxwHTwyp1iuzZOkoSgc0LXqTzIREy4YpCYIAi9mkqmOS788ghIhyI78/GiMiyjBtgfHYhFcVXIToFUQra0Lc2QpCNNuAvL4ArJbIE3hl7UQ+dcYyEu+OoJ6BccMTZ2WBuT8QwMl+l+HjlJfY4fX7w3M2BoNB238/sh2HO0dgNgn49xtOQVNdMQD1dqx0FKUD2sL05DIhic4X0b5/3B4/CvP/7UFEMxAzIUQ0qym7TQGRBcghHT1j4e/LgzM3clMTov61bfS8+Tot3YgpSiakrGiqLXHXwLjhz6wMFE8o/r70WM0mlBdNvS4Do5NwTXhxuFPOiPj8Afzw0e3h25Vb9dJRlA6osz/Run5Fk2gmw2bRvn+y09WNiEiLQQgRzWoRmRCdIMTt8eF4z2j4ckt9CYDUBh0mS/tJtt5J6ITbq2rfm0/T0o2YoqRClJmcEZfb8MRbuTWt7chA1OezmE3hYBKQ29UGoA4Ehl2e8GMqsyyWOIvoY1H+zD5/IO7BiUpGGRTtzxISkQlhTQgR5QiDECKa1bSfautlQo52jaqKnuc3yEFILjIhVk0mRK8+ImJGyHTIhEQ5r7dZ1HUwRq+18u8oVhBitZhQpsiEDBpMYz/WPap7fTpo62CSiEHiqo8xK94zNm1NCIMQIsoRBiFENKtpMyF6cygOaYqU9YOQ7GxrscSRCekf0c4ImQZBSJQoRLkFzePzG7al9fsD8Hj9GJ/0xpEJEVCmeF3GJ72YdEf+He44GN9E9WRof+ZYE9/1GLX2VdaKWBTPE5FJYxBCRDnCIISIZrUipzoI+fNrh7DrkPrE81Dn8NT6AitqygoAaIYVZqtFbxw1IZHT0vN/O1a0WRWqAm5vwPDEedjlwT/ftwm//NtuTMbociZnQmyq6/SyITsORG/dmwptJiSZuhDDTIhfPxMSuR2LNSFElBsMQohoVrNbzThlcU34ssfrx48f24mtUk/4ukMnpoKQlvqS8AlzLmpCtJkQvayAa0I9+b3YaYtYk2+iZkIUP7M/EEBPlIGFo+Me7Iwje2E1m1BaqM4Qjbgig5DDJ4YxNKa/VStV2iAkqUyIQU2I8nrl89iszIQQUX5gEEJEs97Nly3BqtbK8GWfP4CfP/E+Nu8+CdeEB71DU9ubQluxAM2cEF9AVbycKclsp5kOA7GjFaYXa7JVypc5lJVKlMVsiugUpRfQBQDsae9P6jli0QZeybx/jDJwyrkjykxSPJk0IqJsYBBCRLOe1WLG7R9ZocqI+AMB/PrJPXhh63HV2lLFFh7tPJFsnNDN1JNIo4HpRQVW1JY7dW/buLwOaxdVGz5mtNjLajHFHdD1Rsm8pCIdmRCjOSFGmRCr5j0bmigfy+i4B3uPDCQ0zJOIKBoGIUREkD8t/swVS3H6srrwdQEAT7x+2PA+kTMXshCExFGYPh0ZZUKa64th1WmJO6+mCDdcKEKI8r/YytZKNFYX6t5mMZsiZ64YvJaDGdqOFZEJiRKEGCVJ4suEKLZjJTEnZMTlxpd/tRnffWgbvv/I9qRaCRMRaTEIISIKMptMuOmyJTh3dUNc63PRaSieFr3TkWEQUlcSUQdT6LDg9o+sgM1qjsgmKJ2/rtFwsKBeJsTotRwyaN+bqsjuWMbzT4zqUrzeeGpClC16E3/PPvbKwXDr6gPHh6LW5BARxYtBCBGRgkkQ8IkLRXzo1Lkx12pPYo1OItMpokXvDAlCBINgoqW+GPUVU9kMAcAtVyxDdbAWJFotybKWCjgdFt3bLObIIGRcp0UvAAyNTupen6p4u2ONuDyGf8+GLXr9+sMVkxlW+K6iSQMAJDncnYhIRf+3MxHRLCYIAq47fwEOdw5j//Ehw3Xa7Tw+g05F6aT9JHumtFg1Smg015WgrMiGGy5Zgh37e3DGsjqsmF+puJ/+HS89vQkmQYiaCdH+/e01mC0yOOo2rFlJRbxzQvo0s2ssZlO4iN54WOHU9cpMiMVsggCE56mPTUQO59Qan1R3W4s2WJKIKF7MhBAR6RAEAbUVkQXRyu1Q8bTLjSXR/fXaYvhJncLiR18+oLocLVuQL/Ra9JYV2VBebIcgCLjmA4vwn/90hqp5AKCfQWmuK8ZlpzcDgGEmRG871vuH9btgDY25k5pmHotZE9kYZUL6htRBSG3FVEcwo/ecVzUnZOo1EgQBymd5bsuxeA+XiCitmAkhIjJQqTPkr6m2OPy99iTSaGZDNNpPv83m6J8N2SO6G8XOhGhnQ+QjvUCppb5EZ6Wa9uc/e1UDbrhIDD9eYYF+JsRiFmCP83Xx+vwR2YB00P7MRpmQfk0mpK7ciY6eMQCAx+A9pwxuUwlC9WanEBGlQ/7/z0RElCMVJfaI6xqqpuoTIgqbk6gJ0W6n0esEpWQxC6qTyliTwYHo08jzhd6JcnNdsc5KtWFNwfa82iLVYxUaZkLMsFrMqCnXnzOizYKNTaQ/CImoCTFIt/QqghCbxYSy4qn3pVGL3nQ50TuW0ccnotmLQQgRkQG9TIhy25BFEzAkUxOizZ7EyoQIgqDKbMQ75yHf6W3HiicTMuJS1zSUaKbDGxemy8+3qLFM9/Z1UeaPpEu8NSH9w1OF8RUlDtWWwEy3aO5gEEJEGcIghIjIQHmxOhOytLlcdTmyMD2JTIhfmwmJ/WtZuSUrnkzIdKCXrGmKJxOi2S5UUqgOQgwL04Ov88LG0ojbCh0WLNC5Pt3i7Y6lrAmpLLGrajyMWvSmC4MQIsoUBiFERAZqK5zh7VcmQcBHz1+ouj2iMD2J3qXa7VjmGNuxAHXwk+ntONmitx2rWJPV0HPxafNUlxuri1SXC2z6mZBQFmLR3MhMyNLmCtgtmf/vMd5hhcruWJWl6kyIPxCIOuQwVSd6IoMQvWYIRESJYmE6EZEBkyDgi9euwtt7utA6pxSNNeoTXG0mJJnuWNrtWPFkQpSfoPtmyPRqve1Y8VjZWokzltfhQMcQLjm9KWL7lVFQF7pWryZkeUsFrBZzxPXpps2E6G3HmnT7woMCAXk7lt77zmbKzPHqZUK02SciomQwCCEiiqKixIGLNzTp3qYNGJKrCdFmQuIIQhQn1tmYTZIN2k5VZ6+Kd2q9GTddttTw9mgT1QG5xmZOVaHqZHtZS0VWTrTjyYT0j6g7Y1WWOCKK5L0+f0Tr5mjWL6nBlrbumOuGx9yqAChkxGB6OxFRIrgdi4goSVbNiXO0+oxAIIB9xwYjZj5ogxBtsbse5clrrK04dTqzTvKR1WLGFWc0QxCAOdWFuO78BWl5XKOgTrmV7sqz5oe/X9ZcHlH8nSnxZEK075fKEkfEe8SoTa8RZfZHEIxn1RjVgwy7Yg84JCKKhZkQIqIkOe3qoucJt3EQ8rtn9+L1nZ2wWUz48ifWYV5w3oh2O5Z2q40es6J+wqijUsiqBZVRb88nV541Hx86dR4K7Oa0tRW2GGRClK2W1y6qwu1XrUDP4Dg2rqiT75eNmhAhdiZE2/2rrNiO7sFx1XVGU9ONFNin/usPBOSJ6E6dAv6hscmI64DItshERMlgJoSIKEmFBerPcVxRBtq9vrMTAOD2+vHtP7wXvt7nT7wwXbUdS3Piqn08o8LsfOV0WNI610RvO1ZliUPVNUsQBKwTq3HRafPCLX7zJROibcFrNZsiW0MnOJ+mrFDd9W3Hwb6E7s+aECJKBwYhRERJslrMsCk+MR+Pc6DdhNtnOIFbQKLbsdQnoNpsjMM+vYKQdNPbjjWvtkhnpVpWMiFxDCuM2K5nMekUpie2HaukSN117NdP7jHckqWHNSFElA4MQoiIUuAsmPpEPVomROu9fT1JP2e07Vja4KbAlvkuT/lMLxMytyZ2EJIvmZDI7mkCzKbUurKVFUa2Pu7QacVrhDUhRJQODEKIiFJQqGgJa5Td0LN5T1fSz6n8dF974joxqc6EFMz6TEhkEBKqx4nGmidzQvS6p2l/plh1QVqlRfaI69qODMR9/xFuxyKiNGAQQkSUAmVBb7QgRFuEvKe9H0Oj+oW/sUTrjjXuVh+Dw85MiNa8ODIhsVr7pkN8mZA4akIS3I5V6IgMTPWCELfBUEJPgoXwRER6GIQQEaWgMM4gRCsQSH5LlvLkVTul/a3d6gzLdCtMTzft1iVAnjoeiyAIGc+GaDMhsYIQQZDvY0lxO5Ze4b90bCCiwP39Q/oF68kM5SQi0mIQQkSUAqeiQ1YiNSEAcKLPldRzmqNkQl7Z1qG6zML0yBPueLtvxdMuORXxbceaui5UpxJRmJ5gdywgMgszPulDe+dI+PKkx4edhkHIzBiQSUS5xSCEiCgFyWZCAKB/eCL2Ih3Kk9dY9QCzvTBduw2uvjL+4Y1Wg3bJ6WohHNd2LMXWp1AtkDawSiYouO2q5RHX7VFsydp9uF+1Hau8eKqOhJkQIkoHBiFERClQ1oQkmgnpH06uJsSsE4R4fX4c7xmNWDvbC9MB4Lw1cwDIr9sdH1kR9/2MtmNVlxXoXp+oeIYVKrfbhYKiiOAliaBgzcJq3PeFs1X1IW3t/eHvt0rd4e/NJgHrFlVPPZ8/kFBLXyIiPfzfiYgoBYWKFr1ujx9enz/ubTx9SWZCVEGIz49AIIAfPrpDt7jYPsszIQDw8Q8twsbldaguK0CJTntaI0Z/j/G0+I3v8bUZjchgQhmYCMG/d+1xaQcaxqvAbsGahdV4Y5c8SPNAxzAmPT6YTQK2H5jairW4qTzidfP6ArBaMl+8T0QzFzMhREQp0HYa2r6/N+77jo57DDsQRWOzTgUWbo8Px7pHDVusaj9tn40EQUDrnNKEAhDAOBOSviDEpBpN6Y6z65RNc1zJvIdCljSVh7/3+vzYe7gf0pEB1dbCdYuqdQYkcksWEaWGQQgRUQqWza9UXb7/mTac7I+/4DyZuhC7IgiZ9PgxzAnWGaGXCXHYzHF114qHIAgRAWU8CjSBb6K1SEqLFUEIAOw40INt+7pV1y2fXxFX1oaIKBEMQoiIUtDaWIYPrGsMX55w+/DTv+xC//AE7nlwK554/VDU+w8lEUBoT1yzMVhvNtJ7XRtritKaXVI+R7yZEG3bZd0gJM6SjfJiu6pYf8f+HmxXtI6uLS9AVWmBTiaENSFElBrWhBARpei68xfgyMkRHOgYAgCc6B3Dv/zsTQDAgY4hTLiNP+FOZiuN3Tp1QhgAMDaR/CfhZEwvE5KurVghdqsJo+Py9x6dTMiEYvhkKPgxmQTYbWZMBt9X2oYIm3Z1qgIavTbFSkubKtAZbBe97+ig+raWCgCRr0UyxfBEREr8+IyIKEUWswm3XrncsObg+XeOGd530hvfFhwlZSYEkGtL9BQpiuYpcXqZkLnV6Q1ClH+XkzqZkMOdw+HvGxQZC6ei65kyE3K4cxi//7ukeozVC6qiHsOS5nLD25Y1h4IQdSCTbDE8EVEIgxAiojQoL7bj1g8vS3irTrx1AEp2TRAyZhCEVChmO1DirDqZkMY0Z0JsFuOakKHRSfQMTtUMtc4pDX/vUHQ9m5iU7zc05sZP/7JLVa9x6elNqvvpWTyvDHpvW0EAFs+TA5TITEj+bsfy+wPoG5pg3QpRnmMQQkSUJuK8clxzXmtC9/HEWQegpA1CjDIhlBqLTiYk3dklq2Jrnfa9cKBjWHV5QeNUMKHMhLgmvfD6/PjZ47swMDI1e2ZlayWuOmt+zGNwOqxoqi2OvN5ugTNYBJ+utsCZFggE8KM/7cC//vxN3P3AVoy42LSBKF9Nm5oQURSLAOwCIEiS1KxzewWAbwK4DEANgDYA35Uk6RGdtU4AdwG4HsAcAIcB3AfgZ5IkBTRrLQA+C+BmAC0AOgH8FsC3JUmK+J9fFMUbAHwBwCIAAwAeBfBVSZIipoiJongpgH8HsBzAOIAnAdwlSVK3di0RTQ8fOnUuXnrvuOoT7GjSkQlJpridYtPLhKSbXVmYrnkvHAzWGAGAAGB+/VQQUqDZjvXQC/ux//jU+tryAtxy+VKYTPFl5pY0l6P95Ijh7drtWPmaCTnZ78L7h+Whi0e6RvCLv+7GF69bBbOJn7kS5Zvp9K/yvwA0690gimIhgH8AuA3AZgA/BVAG4GFRFO/QrDUD+BPkk38JwL0APMH7fE/n4e8D8AMAfcG1HZCDnYd0juMuAL+H/Lr+BMAOyAHJ86Io2jRrrwfwFOSA6ecAXgJwI4A3RVEsi/I6EFEeEwQhoYnaenUAsdis6l/dicwmofjpZULSzaZpt6y0v2OqSHxOdVE4KwGog5Bj3aN4eVtH+LLDZsZnr14JpyP+rE1rQ/QtW9NlTsikJpBrOzKAP78SvUMdEeXGtAhCRFE8A8DtUZZ8DsBaAJ+VJOmjkiTdCWA1gN0AviOKYo1i7XUALgHwfUmSLpUk6UsAToEcBHxRFMUViufdCOAWAI8BODu49mwADwC4WhTFyxRr50EOTt4CcIokSV+SJOlSAN8CcHrwcUJriyAHPYcArJEk6U5Jkj4KOdvSCjlAIqJpKpGheOnIhGi7I1F6ZCMTomq3rGhS4PX5cUSRmVBuxQLUQYjPr85K3HzZUjRUFSZ0HMrH0zNdghA9f99yFG/v6cr1YRCRRt4HIaIoOgD8BsAmAMMGy24D0AXgF6ErJEkaAXA3ACeAjynW3g7AC+AexVoP5BN/AcBNmrUA8I3QNq3g17sgOdQKjgAAIABJREFUd8b8tGLtZyBvb7tHs03rnuBxK9deD6ACwA8lSQr/TJIk3Q85O3NjMGNDRNNQoT3+T6DTURNCmWGxZH7avLIDl/K9MDbhVc3imKMJKpwGQcOHz2zBmkXVCR+HNrumpW3zO93mhPz2mTYc7TLebkZE2Zf3QQiAb0DehnUzdMYviaLYCrmu43VJkrQfKb4c/HpOcK0dwHoA2yVJGtCs3QLAFVobdDaAXkmS3lculCTpBIB9OmsB4FXN2gnI2ZFVoiiWata+jEivAKiEXCdCRNOQdqJ1NMlkQmw2BiHZkJ2akPgmpmtLOxz2yPfAmoVVuPyM5pSPI8Ss+Pm1r8V0yoQA8iDIn/5lF5s4EOWRvA5CRFFcB+CfAfynJEl7DZaFWtEc1N4gSdJJABOQi8QBoAlytkJvrQ/AsdDaYMDSqLc2qB1AmSiKoY+cWgF0BTMwemuhOI7QMettVNWuJaJpJpHWuNo6gHjYDWoVzJoz1WhDEim2bEyiV2YgEnkvaLdP1Vc68enLliY9zV0vE1Kq2FYYmQmZHkGIsptZ79AEfvnX9+H3T68sDtFMlbfdsURRtAK4H8AeAN+JsrQy+HXQ4PZhAKVxrh2Sn1q0QN4uFWstgo/dE3zsw3GsDR3HpCRJ43GsTUp1dWS7xXyRz8c20/C1zg7t63zJWa144LmpgXErF1Th/UN9OrncyFan5eXOmH9vhcUO3es/ct4C/OnF/eHLvkBgxr0HsvnzlJVGNhioqChEdRoHFpYrnsPr86OysggmkwCLQ91drajYofrZ1y9vwEMvyH/XhQ4Lvnbz6ZiTwnFZdLYQViveiz5Nd6kCpz0v31tDE+rA+6YrluOhf0jo7pcnwu9uH8Cz7xzDjZcty8Xh6crH13Gm4mudX7IahIii2A45GxHNfZIk3QG57mI5gNP1WuEqhH5zThrcPgm5LiTetQDgSHBt6LEzsZaIpplCzSyJkkIbAgH9T1+TKky3Rf7qXrWwCnM1sx6my6fV+cqqs0Up3Wya+h63xweH3YJtUk/U+y2YW4b/uOk07G3vxwXr56GhKrXAyK6zxa+8ZCqjp80K5eucEK2SQhu+cuN6/OtPXg//W/vzywewcWUDFs0znhRPRJmX7UzI4wBiVcxtEUVxGYCvALhXkqQtMdaHsglG7WjsAMYSWBuAXBtSEMdaaB47E2uT0tOTfwV4oU8g8vHYZhq+1tkR7XVurC7C8R55PNDw6CQMYpCI6wcGXOgpiP2r2WoxqQqZ1y+uwaRmv7vH458x74FcvKcnxiPnrwwPumDTS2klyeNWdzbrODmEo10j+PGfdqquL7KZI372lupCtFQXAoFAyq+LXsBqN5vCj6sd+jc46Er5OfuHJ2CxmFDijL+bXCwDg+r/OoeGxtFSU4gbLxbxq7/tCV//2tZjKI/j31km8fd09vC1zrxkskxZ/RcoSdIXYq0JdoV6E8AJAP8Rx8OGCsyNti+VQO6cFc/aUgCjkiT5RVEcAuCPsRaY2j41kOBahyiKdkmStBkR7Voimoasis5KYxPxF8PGu6XfpghCCuxmrF1Ujf3H1btHvf7p8Wl1vtKrCUn37BCb5vH2HR3Eb55uU7Xd/cDaRiyel9nxUdoWvIC6niKyRW9qgdiWti78+sk98AcC+OxHVmL1wqqUHi+WDUvrcP/Te8PBVjIZSCJKr3wsTJ8LuYNVM4BRURQDoT+QT9CbgpdfCa7fF/zaon0gURTrIW9rCm3ObgfgNlhrDj63BACSJLkBHNFbq3i+XkmS+hXHUSuKot6UshbIAc1+xVpAf/hi6PkknduIaJpQdhNyTcQ/xyPejkx1lc7w9xuW1sFuNUe07s3XqdbThd4n9OkuVrdqCsJ/9sT7qoF7py6uwfUfXAghyYLzVCgbHaR7TshrO07A5w8gEAAeenEf/EapwjRSfjAwXbaTEc1k+RiEDEJuy6v3ZxJyhuAbAH4HAJIkHQVwFMCZoihqf55zg1/fCq71AngbwBpRFLV5o/WQa0feUlz3BoA6URRVnapEUWwAsFBnrQnAWZq1DgAbAOxWdM56I/hV2eJXecxDANp0biOiaUJ5sjqWSBASY15DyHXnL0RrQwnWLqrG/zlXbrgXEYSwC1BKKkoiu5zpZQxSodcaN2RJU3lKHa8Spc3KKKW7O5Yy0OoZnJAbN2SYMsD3JjGfh4jSK++6Y0mSNAjg63q3iaL4eQCDkiRpb38Qcg3JHQB+HFxbHLxuPHh7yAOQA4VvAPhicK0V8mRzAPi1Zu0nANwjiuK1wW1aAoD/gjzY8FeKtX8A8GUAXxdF8VXFNqsvQ94Splz7BIAfAbhTFMXHQtkUURQ/Bbk1739LksTfkETTmEWVCVFvx3LYzIbtc+PNhCyYU4qv3HCK6joOMUyvCp0uZOmeHaItTA9pqivGHR9ZkZU2wcpjcRucnJsEAWaTEA5s0z2s8MWtHVjZmtktWcqtdMyEEOVe3gUhSfougGsB3CuK4jmQZ3tcDWA+gM9KkqrNyG8BfBLAF0RRXAFgK4CLAKwC8H1JknaFFkqS9IIoio8AuA7AW6IovgxgI+Qg5jEATyvWSqIofh/AvwHYJorikwCWAbgU8rT3XyvW9ouieCeAnwPYLorio5AHLl4LeatWeJo7EU1PypNH7QlbUYHVMAgxOimNRyr3pUh6HaNM2qmBKdKbz1FTXoAvXLMqYhZIptmspqn2LTosZhN8fvl9m+7Oa+8f6kP3gAs15c7Yi5Ok/GBguk18J5qJ8nE7VsIkSRqGHBjcH/x6O+RtXddLkvRTzVof5KDjhwCWAPgc5GDsDsgBhNYnAHwVQBWAzwOoC17+uCRJ2t9idwUfJxB83OXB57lUW4AuSdIvAHwU8oyR2yFPUf89gHMVdSZENE1F+wS72Bk5kyF8vxQ+aWcmZPqx6WzH+ufrVqOkMH0do+Jl0cwC0e4Csyi2ZKU7CAkAeHlbR1ofU0v5b9LD7VhEOTetMiGSJBm2B5EkqQvATXE+zgjkrVhfjGOtB/JWrW/FsTYA4L7gn3iO4xEAj8Szloiml2i1A1WlBTjcqd8qMpXtN3bbjPhcaVbRy4RUl+n1N8m8CU3HqCJNsJzpTMLrOzpx5VnzMxZMq4+fQQhRrvF/LCKiDIgWTNSU659kmk1CStt9zCb+Sk+389bOCX/fVJv+act6mZBcmZhUN1AoK1QX5iszIb4MnMS7Jr14e09X7IVJUmYZmQkhyj3+j0VElAFGmRCrxYSyosiuS0B66g0K7FMntVec0Zzy4812V5zRguXzKzC3pggf/cCCtD++XiYkV7RF6aVF6i1hyvd0pgq7X9p6HIEMteu1sjCdKK9Mq+1YRETThVEmpKzIltETzzuuWoFHXz6IqlIHLjhlbsaeZ7YoLbThi9euztjj51MmRKu00DgIydQMmqPdozh0Yhitc4xm/ybPwha9RHmFQQgRUQYYBSHlxY6MFpAvaa7A1z5ZkbHHp/SKdy5MNlSVOtA7NBG+rO3OpZwVks5MQmWJA33DU8+7//hQzCDkYMcQXttxAstaKrB+SW34+sFRt2qdxaIcuJi5wnoiSlz+/PYjIppBjLpcLWwszersB8pv2RpEGI+Pf2hqLu+pi2siprRbVZmQ9J3E11YUqKazj457oqyWA4h7H9uJ13d24pd/3Y3DncPh2/YeGQh/LwBorisJX2Z3LKL8wkwIEVEGWAwCjWXNFfBnaM87USpWtlbhntvOQM/AOBbPKYm43Rxnd6xJtw+/eaYNR7tG8OEzWnD68rqozysAKCywYnhMzmLECkK6B8bDawIAfv7E+/jurRsBAHuPTgUhc2uKUFQw1eHLyu5YRHmFH8cREWWAUbajdU4pCh3Gc0KIcmlFaxXOP2Wu7vvXGud2pm37e/Du3m50D4zjN0+3obNvLObzFjqmPhN9bceJqMXpZk0Dh9AWstFxD451jYavX9xUrlqnnpjODwKIco1BCBFRBuhtx2ptKIHVYoLTwSQ0TT/xZkIGRqdm8/oDATz60oGYj639N7GnfcBgpb4Rlxv7jw1CeVSL56mDELboJcovDEKIiDJA75Pk1QurAICZEJqWkh32t+NgH/a090dd45pQzyh5JI7ARWnv0UG0KbZiCQKwaK66uF2ZCeF2LKLcYxBCRJQBepmQuTVFAORZHnoFycr96zR7nL2qPvz9ZRubcngk0Wm7S7W19+PJTYfRMzge876PvHQAfv9UnkKZiRBMgs6/l8S2S+1p74d0dDB8eV5tMZyOKBPfvf6MzSMhovhwTwARUQboFaY7bPKvXEEQ4HRYIgpwl2r2sNPscO15C1FSaIPVbMKF6+fl+nAMKQOFroFxfO/h7QCAV3ecwLduOi2ipa/Sse5RbNrVibNWNQAA+hStgCuK7RGZkETbWO8+3K9qz7tQp8WvMjsZAODzB1SBFRFlFzMhREQZoLfdw2GbOrEq1KkLWTaf8z1mI6fDgo+c3YrLz2iBLYMzZFJlt+kfW//wJF7Yejzm/f/y2iFMuL1wTXgxpgg6qssKVFkKQM6OJKJ3aEL1b668xB6xRpttYV0IUW4xCCEiygDtSRUAOBSfFBdqtl4JkNv3EuUroyAEAJ57+yhcE9Fb6w6NufH3t4+id0i9fauqtCCihirVieYlTlvEddqsB+tCiHKLQQgRUQYs0dla5VQGIZr96k11xSjWOXEiyheh7YR6XJNePP/OMd3blFm/v///7N15nFxlmff/T1X1nt6ydPZ9uxOSkLCFRQiIGxJccVhG8efuDMKjOD/RqONP5RkckdGfg6iP4+gI4yCIAuKKsskSVklIWO4Qsu/pbJ3uTm9V9fxxTlWfOnWqu7qruqq6+/t+veZVVedcdfruQ3zNufq6r/t+egebdh5NOT+hsYpxdamVi4ocN/Ssq0nvr/InOqqEiBSXkhARkSFQFgnzvy49Ofl5wfSGlMbzE52pc+CXaiqWlLiqPiohAA88uzNwo8F3njsn+b6rJ8Yfnt6Rcr6psZqLzkzthVk2b3wOIyUwofdXJ1UJESkuNaaLiAyRFQsm8KWrTmPXwVZWLp6Ucq7NN3Vl6ZzcHrpEhlp/SUhHV5Q/PL09bZW3c5dN4a6HNhN1V8c6crx3H5HK8gh11eWUhVMThKDV5QYiq0qINiwUKSpVQkREhtC8aQ2cv2Ja2spBbzptevJ9TWUZc6fWF3poIgNSnWE6lrdX5MHnd9HS1pVyPhwKBfZIATQ1VhEKWK46FxVlYRpr0xvT0yohmo4lUlRKQkREiuCcpZNZuXgiMyfW8ol3Lsn4kCZSKoIqIeFQiMsumJf83NUd40/PpPeGZFoKd0JDdf4G6Dp1YVPg/57SKyFKQkSKSdOxRESKoKqijH9419JiD0Mka0GN6ZPGVbNqxVT+9OxODhzJvGlh5kpIcBLyi4c285fnd/GBtxpOHmB/yDnLJmc1BjWmixSX/vQmIiIi/QqqhExvqiUSDgeuBueVsRLSWJXxO83HOrjlVy/S3RPNeoxj6yo5aVbwIg/+PpNoTEmISDEpCREREZF+Be0TMr1pDBC8GpVXJFMlxJ2OlaktJBqL85w9mPUYz1g0kXCGjQ4j/n1CetSYLlJMSkJERESkX5kqIQD1AatRefXVmA4Q6WOH9Edf2J3tEDl32ZSsx6AlekWKS0mIiIiI9CuoJ2SaWwmpH9N3JaQsQ5KRaEz3Vym8Nu06xp7mtn7H99YzZjB9Ym3mMfgrIZqOJVJUakwXERGRfvlXlwKY4DaW11X3XQkJmo5VXhZOTvEK97NM76Pr9nDlmxcEnvvYJYs5ZUFT2jLYfulL9Go6lkgxqRIiIiIig5JIHur6q4QEVDoqPElNKBTqc0rWkxv30tUd3KAeCoX6TUCcMfiSEFVCRIpKSYiIiIhkZeak3ulOpy1sSr6v76cxPZt9OzI1lAO0dfTwnD2Q7TAzjCH1+rf90fLIuuz7TUQkv5SEiIiISFYuPX8e4+ormT25jve/dWHyeG2/07GCKiGpje59VUIAHlm3ZwAjTReUCN32R5vTNUVk8NQTIiIiIllZNnc83/rHcwj5ejj6qmJA+h4dkF4J6S8J2bzrGLub2zI2ufcn014lg7Vj/3HaOnpYNLMx7X6ISP9UCREREZGsDeaBO1NjekpMQHJxwSnTUj6/tuvogH+2dwz5yhVe2HSQr/70Wb51xwvc9/jW/FxUZJRREiIiIiJDqr/GdAiupsybWp/yubW9e9BjCIdC/fauZOuWX29Ivv/NE9vyck2R0UZJiIiIiAypsnD648Z4d4+QhEhAzJjq8pRkpfXE4JMQgIba3JMQbXIokh9KQkRERGRIBVVCls8fn/I5aDpWZVmYMZ6m97Yck5DG2sqcvg+w80Br2jElJiIDpyREREREhpS/JyQSDrF0ji8JCZqyVR5JWXnreK6VkH72M8nG5l3H0o7lmhyJjEZKQkRERCRnmZbpDYdJawhfNLORmqoyX1x6ElJeFk65bq4P+/mYjhXUHJ/rNDGR0UhJiIiIiOSssjySdqyqIkJ5WYTt+46nHF+xoCktNhKwdFU4FEqZjpVzT8iY3KZjxeNxXtudXglREiIycEpCREREJGddPdG0Y4npTwumN6Yc9/eDQPB0LEitsOT6sN+YYyXk4LEOjrV2pR1XEiIycEpCREREJGdd3enN2fVuEnLO0snJfUHOWjKJCb6VsSDzhoe11b3Ttto7eujOoQm8pqrvnd0BWtq76OqOYnccYc2PnuJ/3/YcB4+eAGDrnpbA7+TaqyIyGmnHdBEREclZX5WQqRPG8K+fPJsDR9qZO7Uh8PtBS/QC1HoShziwfnNzyvlxddlPsepv1/SnXt7HT373KpC64tVvHt/KRy85ic7u9N8R1JguMhiqhIiIiEjO4vH0Y94ejLF1lZiZY9N2Sk8IWqIX0qsXT728P/m+ujLCvGnBSU2QsoCd2zu6epLvf792Bz3RWNqSu09s3NfndY/nsImiyGilJERERERyFrT8bf0AejAyJSFlZanHdx9sS75fMmd8YGKRSVCs3dG72tWug+l7gGRDlRCRgVMSIiIiIjl73wXz0o4NZF+OTD0hQbutJyyfl97g3peg6Vgbtx4e0DWCqCdEZOCUhIiIiEjOpjfVph0bSBKSqRKSadWsELBs7sCSEP+miZCahIypGlyrrCohIgOnJERERESGxMSx6atgZRKUhDTWVWacbjVnan1y9a1slQX8jP2H22l2V78am6HJvbqy7+RElRCRgVMSIiIiIkOiqXEASYgv2RhXX0ltdXnGCslAp2JBcE8IwMZtfU/Jqqvpe2lfVUJEBk5JiIiIiAyJgTSNh307ps+cWAdknqZ18rwJgxhP8LVe2tJPEuJumJjYL8SvraOHaGzw+5eIjEZKQkRERKTovEvlAsyc5PSYBCUyjbUVyfMDkWkvkld3HOnze4ld27fvP54xpq2jJ+M5EUmnJERERERyFvNtFNLUWDWg7+9pbkv5PHOSWwkJqF6cPG8CoVDfGw8GybRHSVtHD+0dmadUVVZEiMfjbN+XOQlp1V4hIgOiJERERERy5t+wb9K4mgF9f/+R1KlOyUpIQPVi+fyB94OAswzwVW9dSGV5JO1c87GOjN+Lx+Foa1fK77h41tiUmFb1hYgMiJIQERERydncqfUpfR2XrkrfN6Qv7101N+Xz+HqnkuKvhJRFwpw0a9wgRwlvPHU6P/in8/niB05LOX6oJXMSEoulV0GWzEkdg5IQkYEZ3ILYIiIiIh611eV84p0n8fiLe1k+fwKzJtcN6PvnnjyFdZubaT7WwQfesjA53crfmL5oViOVFemVjIEa35A6XexwS2fG2J5ojB2+fpCFMxpTPnd1Rwc9liPHO3nsxT3MnlzPyYNY9UtkOCrpJMQY0wj8M/A+YCKwHfg58C1rbYcvdhzwdeASN/YV4CZr7Z0B160B1gBXAtOArcCtwPettXFfbBlwLfBxYA6wF/gp8K/W2rQ/exhjPghcBywEjgB3AV+x1rYGxK4GvgwsBU4A9wNrrLUHsrg9IiIiJWXl4kmsXDxpUN9trK3kS1edRpzUlbLGVJcTDoWSPSfLB7EqVpCG2goi4RDRmHPdQ31Mx4rG4ikrYzXUVqRtxJi4zmB89+717NjfSghYc9VpzJ/WMOhriQwXJTsdy01AHsd5oN8AfA9oxUk0/scXOwb4M3A18JQb2wj8whhzjS82AvwS5+HfAt8Fut3vfCtgKLcC3wYOubG73THcETDmNcDPcO7rLcB6d/wPGGMqfLFXAr/FSZh+ADwEfAh40v3dRURERpVQKJS2VO+YqnLeunIGoRDMn97AquVT8vKzwqEQ4+p7Nyds7mM6Vk80hjfFKI+E01bt6okOboneE5097Njv/J0yDvz/d60f1HVEhpuSTUKA/w0sAa6x1l5irf0csBKnWvAeY8wqT+yngVOBa621V1hrrwdWAC8B3zTGTPTEXg5cDNxsrV1trf0CcDpOEvBZY8yyRKAx5hzgE8DdwCo3dhVwG3CpMeYST+xMnORkLXC6tfYL1trVwA3A2e51ErG1OEnPFuAUa+311torcKot83ASJBEREQEue+N8vv9Zp4+jvCz3qVgJib4TcCohmWoZQVUO/zSxnujgKyFe7Z1a6ldGh5JMQtzKxoeBJ6y1308ct9bGcB7qfwp4ty+9GtgP/NATexz4F6AG+HtP7KeAHuBGT2w3zoN/CPioLxbga4lpWu7rGpw/WHzME/tJnOltN/qmad0ItPhirwTGAd+x1rZ4xvETnOrMh9yKjYiIiEDgila5SklCWjro7gmuZgQlIf6ND6ODrIQE8e+ZIjISlWQSApyPkzz8yn/CWvustfYj1toHAYwx83D6Oh6z1vq7wh72XA9jTCVONWWdtda/M9EzQHsi1rUKaLbWbvSNYQ+wKSAW4FFfbAdOdWS5MabBF/sw6R4BxuP0iYiIiMgQqff0dbR39GRsLg+aahXxTcfKpSfEb8uelv6DRIa5Uk1CEg/gLxljrjLGvGCMOWGM2WaM+We3WTwhsQbg6/6LWGv3AR04TeIAs3CqFUGxUWBnItZNWKYHxbq2AY3GmCbPOPa7FZigWDzjSIx5SxaxIiIiMgS8fR3RaIzO7uwrIenTsfJXCdm861jeriVSqkp1dayp7uu1wNuBXwN/BS7C6btYAlzhxiTWsjua4VotQEOWsccA4yY547KIxb32QffaW7OITYyj01p7IovYQWlqGtjSiIVUymMbaXSvC0P3uXB0rwtjtNznBs90rDhOk3iwEFVVvbPAw5EwkyfVp0RUVJUP6r5NmFCbdmz7gdZR89+gkHRPS0tBkxBjzDacakRfbgUSy1WsBi6y1j7gfr8G+BNwuTHmDmvtffT2hmRa4LsTZ2oXWcYCVA0wNnHtoYgVERGRIVBelt2EkKAqRygUoiwSTp575PldTBxbw6pTplFVkdvj1avbjxCNxdOqLSIjSaErIfcATf3EPAO8wX1/XyIBAbDWthtjvozTN3EZcB/O/hoAqQt296oE2tz32cTGcXpDqrOIxXftoYgdlIMHg2aFFVfiLxClOLaRRve6MHSfC0f3ujBG233uyHKX867uKB0dvbGxaIyDB48TCYfocdtI9h9u55a71rFp2yEuv3BBv9dM3Ovm5rRtxDjR2cO6l/cyc5L+cp8Po+3fdTEMpspU0CTEWntdNnHGmERPyPMBp9e5r4m+ikSDeabpS/U4K2dlE9sAtFprY8aYY0Csn1jonT51ZICxVcaYSmutvyLijxUREZEhUJZlJSRT03lZJESnL4/50zM7s0pC+rN1b4uSEBnRSrUx/TX3NahakJgm1e6+bnJf5/gDjTFTcKY1WffQNqArQ2wEmJGItdZ24ezQnhbr+XnN1trDnnFMMsZUZ4iNeX6vxJhnZ4jFM2YREREZAmVZTnfKtPxupulcid3dc3HkeKZZ2yIjQ6kmIY+5rxcGnDvdfX0RwFq7A9gBnGuM8f8+F7iva93YHuBp4BRjjP/PCytxekfWeo49Dkw2xqSsVGWMmQosCIgNA+f5YquAs4CXPCtnPe6+epf49Y75GPBKwDkRERHJk74qId6d23syVEKqK4MnlBxvz26aV19a2roCj6/b3MxdD29m3+H2wPMiw0VJJiHW2ldxEpE3GGPenzju7jR+A05V4b88X7kdZzndazyxdcCXcPovbvfE3obTd/E1T2y5e12A//DFAtyYSHCMMSHgGzgbG/7IE/tzIAp81V3eN+GLOFPCvLH3AseB640xiVW4MMZ8BGdp3h+7GzOKiIjIECmLZH4M8m5GGI3G2L6vt58gUQHJ1IB+uKUj57EdC0hC1m9u5t/vfpE/Pr2DG372XF5+jkixlOoSvQAfx0lEbjPGvA9nKtVqnArEN6216zyxN+E0qn/XGHM+zt4elwJzgWuttQc9sT/F2Y39OmPMMpy+k4uA5cDN1toNiUBr7V+MMXcClwNrjTEPA+fgVDvuBn7nibXGmJuBzwMvGGPux1lKeDXwBJ7kxlp72BhzPfADYJ0x5i6cDRcvw5mqldzNXURERIZGX9OxIpEQuCv29kTj7G7uXS9m2Vxnxf/qyuBd3A+3dDJnSm5j81dCeqIx7njwteTnE509/OyPls/83cmEQlpFS4afkqyEgPNQjzP16jacB/9/wOkD+ai19gu+2BacxOAn7uuncPb3uNJa+z1fbBQn6fgOsBj4NE4ydg1OAuF3FfAVYALwGWCy+/kD1lp/fXaNe524e92l7s9Z7W9At9b+EGevk4PueFcBPwMu8PSZiIiIyBDpazpWJBx8LgRceNp0AKoLWAl58PldHDiSur3Yhi2HeHLjvpx/lkgxlHIlJNHv8eEsY/cDH80y9jjwWff/+ovtxpmqdUMWsXGcfU5uzXIcdwJ3ZhMrIiIi+dVvJSTA8vkTmNjorEFTlamEjSVlAAAgAElEQVQScjz3JKSlrYt4PE4oFKKlvYvfPLEtMO6Ov7zGkjnjaKytDDwvUqpKthIiIiIiMpT6qoSUZaiEvMmtggBUlGeejpWrrp4YHV3OJiT3PbY1ZTf3aU1jku/bO3u4/U+WeB5W5BIpJCUhIiIiMir11ZgeVOWYMr6Gk2aPTX7OtApWPiohAC3tXew62Moj63Ynj00cW82XrjqNaRN6E5EXXmvmmVcO5OVnihSKkhAREREZlfpKQoL6PS48dXpKE3hre/Ayuq0negKPD1RHZ5T7n9iGt8hx+YXzqaoo4yOrF+PtR//5nzfRkmE8IqVISYiIiIiMSmUZ+j4gvRJSXRnhnKWTU4695YwZgd/1Tp3KRU80xvb9vUsDz5/ewIr5EwCYM6Wei1bOTJ5rPdHNzx/YlHYNkVKlJERERERGpYFUQt6wbEra5oTL503g/BVTmTZhDI21Fcnj7R35SUK6e2LOepuuCQ1VKZWYd507h8njapKfn331AM9bTcuS4UFJiIiIiIxKfSUhMybWJt+HQyHedOr0tJhwOMT/c9EibvjYmbzRc74nGqO7J5rz+G664wUOHD2R8XxFeYSPXLwYbz3n9gc20Xoi9x3bRYaakhAREREZlfqajrVwRiPvOW8OC2c08vF3nMQkT8UhSI2vStLemXsSko350xt48+m908Ja2rr4+Z83abUsKXlKQkRERGRU6qsSUlEe5h1vmMMX3n8qZ540qd9r+ZOQfPWFZOO9q+bS1FiV/Pz0y/v5y/O7CvbzRQZDSYiIiIiMSn1VQsKhzOeC+PtF8tUXko3KCndalmfIdz64mZe3HS7YGEQGSkmIiIiIjEqRDBsSDkZNlX86VmH7MszMsbzvgnnJz7F4nB/cu5EDR9oLOg6RbCkJERERkVEpHA4xwIJHRg1jKlI+7zrQlp8LD8BFK2dy9pLeqWNtHT3c8qsNBZ0aJpItJSEiIiIyavXVFzIQE8dWU+9JROyOI3m57kCEQs5qXbMn1yWP7W5u48e/fZmYGtWlxCgJERERkVErEs5PKSQUCrFoZmPy86ZdR4nGYnm59kBUlEe49tKTUyozL7zWzL2PbS34WET6oiRERERERq18VULA6ctIONEZZcf+1rxdeyDG1lVyzXuXpTTe//bJbTz7qjYylNKhJERERERGrXxVQoCUSgiA3XE0b9ceqHnTGrjqbSbl2H/+7mV27D9epBGJpFISIiIiIqNWX8v0DtTkcTUp06BezXNfyEBHet7JU3nz6b07uXd1x7jlVy/S0taVl/F0dPXQEy38lDMZGZSEiIiIyKiVz2V6Q6EQxtsXsjO/fSEV5ZEBf+fyC+dz0uzeaWKHWjr5/j0bck4eHnx+F5/69l/5p1ufYE9z4VcCk+FPSYiIiIiMWpE8VkIAFs3qfeDv6MpvX0jlIJKQSDjMP7xrKRMbq5PHNu06xp+f2znocew62MovHnyNOHC8vZt7Htsy6GvJ6KUkREREREatfDamAyzyNKfDwPtCxtdXZjw3mEoIQG11Oddeuoyqit7vb3j90KCuFYvHue1Plmisd8nfda8109KenyleMnooCREREZFRq7wsv49Ck8ZWU+l52D/c0jGg769aPjXjucrywY91WlNtSoLU1jG4DQwff3Evm3cdSzkWjcVZu3HfoMcmo5OSEBERERm1vNUBr9rq8kFdLxQKUVNZlvzc0RUd0PcryiP8/ZsXZDyXi2rPuNoHkYS0tHfxy4c3B5577MW9xLUhogyAkhAREREZtaoqytKOVZZHGFuXeVpU/9fsTRZOdA38Yb+mKn1MiXHlwnvdE50DH9cvH9qcUkHx3qM9zW1s2dOS0/hkdFESIiIiIqNWdUAlZPL4GkKhwTesV+dQCQEoLwtONipymI4FqeM60dlDbACVi1e3H+EJz5SrSeNq+MzfLU+JeezFPTmNT0YXJSEiIiIyagVVQqaMr8npmt7EpmMQFYfyDM3yOVdCPElIHOjMMkHqica4/QGbcuyDb13IjIm1zJ/ekDz29CsHsr6miJIQERERGbWqKgMqIeNyS0K8ic2gKiEZKh659oT4p3ll2xfyx6d3sPdQe/Lz2UsmsXj2OADOO3lK8nhnV5RnXz2Q8TrHWjt5ffcxYjH1joiSEBERERnFghrTp4wfk9s1K3PrCSlEJQSgPYsqzYEj7dz/5LaUa1x2YW/j/BmLJqasBpZpStbOA618/odr+Zfbn+cnv39lgCOXkUhJiIiIiIxa1ZUB07HyWQnpHExPyNAkIf7ftb/m9Hg8zn//eRPdPb27q7/vgnk0jKlIfq6qKGPloonJz6/tOsb+I+343f/kNrrc6zy5cR97D2mX9dFOSYiIiIiMWkGVkEnjqgMis1ftq4QMdOnaTElIro3pA52O9Zw9yMYth5Of502tZ9WK9H1Mzlk6OeXzTt8u8S3tXbyw6WDKscfW781qzDJyKQkRERGRUSuoMT3T6lSDuWY8TrICkK2hqoT4p2PtOHC8z/gHn9uZfB8OhbjqbYZwwKph4+qrUj77p6A9uWFfyg7rAE9s3EtPdGD3RUYWJSEiIiIyagUt0Zvvaw50hayh6gnxT8e697GtfcYfbetKvl8+fzwzJ9UFxvmrSd5m/Hg8zl/Xp/eJHG/vZt1rzf2OWUYuJSEiIiIyalUF9ITk+5onBrFrevDx/O0TMlB9JUD+apI3Cdm08yj7Dqf3iAA8GpCcyOihJERERERGLf9f8csyVCFyuWbHAFfIylQJiYRzG1tZZPAbMPalvCxMJNx7be/v66+CePcVeXnrYZqPnhiSMUnpUxIiIiIio5b/L/yVOVYbAKor/KtQDawSUlY2NMlCLrvA9ydll3j392090c2zr/Y2pC+eNZb3nDsn+TkOPPaiGtRHKyUhIiIiMmqNqS5P+fyW02fkfE3/ZoPdA2xMz7XiUQze6k+iErL2pX0pzefnr5iKmTWWiY29q489vmHvgDcvPNHZw38/YPnBvRt5+G+7ONzSkePopRjyPxFSREREZJioLI/wvgvmcc9ftzBrch1vPn16ztf0ryAVG+ASvUH+4V1Lcr7GUEpNQqJpDem11eWcsqCJcCjEecun8KtHtwBw5HgnG7YcYvn8CVn/rPse38pDf9sNwLOvHuD2BzYxc2Ity+dPYPn8CcyeUhe4ipeUFiUhIiIiMqpdfNYsLj5rVt6u538Ajg/wL/1BVi6elPM1hlLKBo1dUbbsaWH3wd4NCd+wbHJy6eE3LJvCPX/dmkzO/rp+T9ZJSCwW56mX9qUd33GglR0HWrn/yW00jKng5HnjWTF/AifNHpfLr5W1lvYuDh3rYOak2mFZySoGJSEiIiIieeT/I3w+KiGlrsq7QWNnD09sSO31WLW8d5PDxtpKls8fzwvuEr3rNx/iaGsnjbWV/f4cu/MoLe3dfcYca+visRf38tiLeymLhFm+YAIrl0xm3qTatD1N8mHH/uPc/It1tJ7oZsX8CVxz6TJVYrKgJEREREQkj8Jh/3SsIg2kgPyVkM27jyU/z5taz5TxY1LiVy2fmkxCYvE4T2zYy+qzZ/f7c5599UDK56vfvZTX9xxj3eZD7A9YCrgnGuP5Vw/wvPu9GclpW+OZM6U+52ShsyvKD+97idYTTmK0bnMzT7+0n7N9u8hLOiUhIiIiInmUNh1rEJWQ1WfP4ndrtwPwj+9empdxDSVvT0jriW5OeDZonDetIS1+2dzxjK2r5MjxTgAeW7+Xt581q8+kIBqL8bztTULmT2/g9EUTOX3RRC6/cAH7Drez7rVmXny9mU07jwVWoHYeaGXngVZ+++Q26lOmbY1N2+8kG7946LW0fVDufvR1Tl3YRKXnnry6/Qh/23SQ00wTZubYAf+ckUhJiIiIiEgepVVCBlEKee+quSyaNZaayjLmTKnP19CGjD8J8ZreVJsWHw6HOO/kKfzmiW0AHDh6Arv9CIv76OGwO45y3DMV64xFE1POTx5Xw0VnzuSiM2fS1tHNhi2HWL/5EBu3HqbtRPoUrpa2Lh5/cS+Pu9O2Fs1qZMX8CSyfN4HxDf1P23reHuTRdekbLh453skfnt7Ou8+bC8DeQ218+6719ERj/HX9Hr7xybMZW9f/1LORTkmIiIiISB6FB9ATkulUKBRiSYGaqvPBvzeK1/SJYwKPn3vyFO5/YhuJW/DXF/f2mYR4p2KFgNPNxIyxY6rKOeukyZx10mTGjRvDy9sO8+hzO1i/+VDgDu490Rgbtxxm45bD/DebmN5Uy4oF41k+f0LgtK3DLR381x9eSTlWXRlJ7gnzh6d3cN7JUxnfUMUfnt6RXKq4qyfGS1sPc+7JUzKOfbRQEiIiIiKSR/5NAWN9bBPSHU09mY8d2/ty4anTksvb5pO3Md0rFIKp44OTkAkN1SyZM46NWw8D8Lw9QOuJhdT69m6BxFSs3o0PF0xvyLqaEImEWTZvApPrK7n8wgXsP9zOus3NrN+cedrWroOt7DrYym+f3E59TTknz3OW/10yZywVZRF+/NuXaevonXL2ltNnMK1pDP/1h1cBZ2+Yux99ncveOJ+1G1NX89qyt0VJCEpCRERERPKqv31Cdh5o5Y6HNjNnagOzmmpSztVUDe2jmXdn84i/ZJODoMQBnClSFeXBCQo4DeqJJKQnGufJjft46xnpG0a+uv1oyjSvM3JYsnjSuBretnImb1s5k/aObjZsOcz6zc1s2HIoJbFIaGnv5vENe3l8w17KIiGmjh/DjgOtyfPTm2p53wVziYTDPPS3XezY75x7+uX9tLZ3EfVNx9uy5xiiJEREREQkr/w9Id7G9Fgszi2/epHmY84u3286LXVzxJrK4floVl9TEXg8qB/Ea8WCCdTVlCd7PZ7csDcwCXn21f3J9yHgNNM0+MF61FSVc+ZJkzjzpElEYzE27zrG+s2HWP96M3sPBU3biqckIOVlYT75riWUlzmJ1pVvWsA3/+eF5PmXth1Ju8auA210dkep7CM5Gw2G5790ERERkRKV3hPS+37r3pZkAgKkNTaPqQquKOSLt0iTz/1L6scEJyEzJ/WdhJRFwqxcNIkH/7YLgN3NbcTi8ZRqUk80dSrWwhmNWe0pMlCRcBgzcyxm5lguu3A++4+0s/61ZtZtbua1XcfSKhoAV7xpAdMm9E43MzPHcrpp4jnPeP1i8Tjb9x1n4YzGvP8Ow4mSEBEREZE8CvWxOtaGLYdSzvX4ekKqh3g6lvfhPh53qjT+HpbByFQJWTpnfL/fbRpbnXwfjcVpO9FNned6r24/kjJN6ozFmRvS82nS2BreunImb3WnbW3ceph1m5vZ8LozbetNp03nghVT0773d2+cz7rNh1L+21ZVROjoiiY/b9nToiSk2AMQERERGUn66glJ9D9kMmaIkxB/H0gsHieSjyRkTHoFp76mnBn9VEIAGnxVlGOtXSlJyDO+VbFOW5ifqVgDUVNVzsrFk1i5eBKxWJxoLE55WfAiAk2N1bxt5YzkPi/g7Pvyp2d2Jvta1BcCQ7sEg4iIiMgo45+OFXcrIa0nutm6t6XP7w51T0g+9jAJUl4WSUu+ls4dn9WO5I21viSkrSv5vica44VNvVObzMxGGoZgKtZAhMOhjAlIwsVnzWL25DoAZk6s5cJTpzN3au9+L1v6+XcwGqgSIiIiIpJHaUv0us/5L287nHFfEICySP8Pt7nyJyHRWJx8daH4e0yWze1/Khak95Mca+tMvn95m28q1qLCTMXKVXVlGV94/6nsO9zOxLHVVFWUMW9qPS++7kzHO9zSydHWziHpbRkuVAkRERERyaNMq2Nt3NI7FassEsJfJKipKs9Lf0Zf/FOv+trDJFdL5mS32WLDmNQH8WOtvZWQjVt7e2hCITi1jw0KS01FeYSZk+qocjdynDu1IeX8lj2juxqiJEREREQkjzL1hOw93JY8tmDGWJbPT+1tKMTyvGnTsfK4Qpa3SXvh9IaMe4f4VVdGUipA3ulY3mbuxtrKtP6R4WTOlLqUz6/tOlqkkZSGkp6OZYxZBXwFOBNnrOuBm6y1vw6InQHcCFwINAAvAF+z1v4lIHYc8HXgEmAi8Ip73TsDYmuANcCVwDRgK3Ar8H1rbdwXWwZcC3wcmAPsBX4K/Ku1thsfY8wHgeuAhcAR4C7gK9baVn+siIiIDA/+Ykai76Kru7fsUD+mgnOXT2Xda739DkO9USGkN6YHLTs7WG8/axb7j5ygJxrjqosWZf29UChEw5iK5NLF3iRkJKmpKmfK+Jrk/iN/eW4XS2aPY2mW09ZGmpKthBhj3gY8BJyD83D+Y5wH+18ZY672xU4CHgcuA/4E/AewAHjAGPNOX+wY4M/A1cBTwPeARuAXxphrfLER4JfAlwELfBfodr/zrYBh3wp8Gzjkxu7GSXbuCPj91gA/w/lvcAtOgnWdO+bhm+aLiIiMcunVBue1q7v3r/qV5RHOWjaFqoreDeuyrRzkdWx5TEKaGqv53JWnsOYDp6XsnZGNBk9z+rHWzj4ih7dzT56SfB+NxfnePRvYvHt0rpRVskkIcDMQB8631n7UWnstcArQDHzTTSYSbgBmApdaaz9irb0OOBXYD3zfGOOdbPhp99y11torrLXXAyuAl9zreicbXg5cDNxsrV1trf0CcDpOcvRZY8yyRKAx5hzgE8DdwCo3dhVwG3CpMeYST+xMnORkLXC6tfYL1trV7u9xtnsdERERGYbSpmMlKiE9vZWQyooIVRVlvP3Mmcljpxeg38E/tuhQNoUMgLcvZKRWQgDedsZMVnr2OenqjvHdX65n18HRNwmmJJMQY0wVsBTYYK19NnHcWrsH+B1Q657HGFMLfBB43lr7W1/sv+NMoXq75/JX4yQnP/TEHgf+BagB/t4T+ymgB2eaVyK2G6cyEgI+6osFZwpY3I2N40zligMf88R+Emd62Y2+aVo3Ai2+WBERERlmvA/7ib6LlEqIWwG55JzZfO6KFaz5wKkpfyUfsnENYSUkF95ej5YRnISEwyE+dslJLPU07bd19PBvd67j4NETRRxZ4ZVkEgJ0Am3AVGOMvzY5zX1tdl/PBCqBhwOukzh2PoAxZp77/cestdF+YiuBlcA6a+0RX+wzQHsi1rUKaLbWbvQGusnQpoBYgEd9sR041ZHlxpjUJRRERERk2PAWHBJJSKenJ6SyPOLGhVg8exwLphdm9+z0zQoL8mP7Ve1pyj/RGU2uKDYSlUXCfOo9y5jn2TfkWGsX//aLdSN6KppfSTamW2vjxpj/A3wW+LEx5ktAK/CPwJuB+6y1r7vh89zX19OvxDb3dWF/sdbafcaYDk/sLJz7ExQbNcbsTMS6Cct04OkMv9I2J8w0WWsPuuPY71Zg+hrzswHns9LUVNd/UJGU8thGGt3rwtB9Lhzd68LQfc5dJBxKNn3XVFdQW19NT7Q3CUk8dBf6Xjc2pi4L29BQnXEMkUjv36orK8uHdKzjx9Yk38ficRrGjiEajaX0S1SUR3IaQ6n9u77hH9/AmlsfZ/s+53HwwNET/PuvN3Dj1ecWpD+o2Eq1EgLwOZy+iauAnTirR90I/DfOSlUJiSUFgtY5S/zLbcgiFpypUNnGHgNq3BWxxmUR6x9HtrEiIiIy3KRMx4Kd+1P/7jh1Qm2hRwQM7epYuaj2LU98oqOH/3PPBva5K0nB8NojJBt1NRV87RNnM3FcbwK2dU8LN/znU3R09fTxzZGhoJUQY8w2nApDX2611l4DvAOnf+MQcC/OqlSrgSuAl4FvuPGJVDGofpU4VpVFbOJ4zQBiE9ceSGzi2tnGDsrBg0FFluJK/AWiFMc20uheF4buc+HoXheG7nP+eB/129s72bjpQMr5mVOKc69bWztSPh861EZtefDfpKOeyk1nZ/eQjrXH99B978ObeOi5ncnPY+sqefvKGYMaQ6n/u77u707mG7c/T0u70yb88tbD3PDjp7jmvcsoi5RyvaDXYKpMhZ6OdQ/Q1E/MM8aYOThL4+4CzrbW7gcwxtQBfwBuNMast9b+Hkh08QQta5tYaiGxO1BfsYn4gcTGcXpDqrOI9Y8j21gREREZbjxZSDwOu5t7/996JBxiWlNxKiHpq2OVRiXEu1QxwK//uiX5PgR8bPXiETtFadLYGj57+Qq++T9/40Sn07L84uuH+MnvX+Hjl5xEyL/xzAhR0CTEXTq3X8aYL+NUC25IJCDu948bYz6L03vxIeD3ONO0IHj6UuJYYopTX7EA9TgrZ2UT2wC0WmtjxphjQKyfWP84so0VERGRYSacloT0LsE6ZXxN0f7CndaYXipJSGVqEuLtS3/bmTNZPHscI9nMSXV8+n3L+bc719HtLuX81Ev7OX/5VMzMsUUe3dAo1RrPDPf1lYBzL7mviYW1N7mvcwJiE8dsf7HGmCk4U6ASsduArgyxEXeMFsBa2wVszzCGxM9rttYe9oxjkjGmOkNsDHgtw7VERESkxIU8pZB4PM7ug72VkGJVQSBoI8USSUIqgv8uPnNSLe9dNbfAoymOhTMa+cd3LU05tmVPS4bo4a9Uk5BENWJhwLkF7us+9/V5nOlN5wfEXuC+rgWw1u4AdgDnGmP8v7s/tgen4nKKOw3MayVO78haz7HHgcnGmJQxG2OmumP2x4aB83yxVcBZwEsZVs4SERGRYSDkq4R4N+Bragz6G2RhlGpjun86FkBFWZhPvnPJsOmLyIfl88en/L4t7SN4z5RiDyCDu3H6Lb5kjJmQOOg+pN/kfrwDwFrbBvwaONsY805P7FTgfwF7gOQmhsDtOMvpXuOJrQO+hJPM3O6JvQ2nR+NrnthynJ3NAf7DFwtOv0rYjQ3hNNCHgB95Yn8ORIGv+nZz/yLOlDBvrIiIiAwz3nn8cVIf9MNFnOJfqpsVBiUhV7xpAVPGjynCaIonFArRMKa392Ukb9xYqvuEvGiM+SrOw//Lxpi7cXYufzswHycBucvzlS8CbwV+ZYy5A2cjwyuBicB73elSCTcBlwHfNcacj7MPyKXAXOBadx+PhJ8CHwauM8Ysw6m6XAQsB2621m7wjPkvxpg7gcuBtcaYh4FzcKodd+Ps9J6ItcaYm4HPAy8YY+4HluCs/vUEqcmNiIiIDGMlMuMJKN3G9LrqCsoi4eReKivmT+D8FVOLPKriqB9TwaEWZ7HUkZyElGolBGvt14H34fRdfBD4OM6KUdcA77fWxj2xO4CzcZbyfQfwMWAzcJG19j7fdVtwEoOfuK+fwtmz40pr7fd8sVGcpOM7wGLg0ziJ2zU4CYTfVcBXgAnAZ4DJ7ucPeMfrWuNeJ+5ed6n7c1Zba0fPdpkiIiIjUEpjevGGkaZUKyGVFRHede5syiJhFs5o5MMXLxqxq0L1p66mdwHVY23dRRzJ0CrJSkiCtfZXwK+yjH0d+LssY/cDH80y9jjOzu2fzSK2G2eq1g1ZxMaBW93/ExERkREkZTpWCZVCSrUnBGD12bNZffbsYg+j6OrH9CYhx9UTIiIiIiJZS2lML50HfX8lpJTGJo6GlCSku2RWMMs3JSEiIiIieRZOqYQUcSA+pVwJEUe9ZzpWLB7Hbj/SR/TwpSREREREZAiVUhJSqj0h0ss7HQvg23etL9JIhpaSEBEREZE8C5fqdKwSXR1LetXXlKd8Hqn/jZSEiIiIiORZ6j4hpcM/HWuk9hsMZ/5KyEhV0qtjiYiIiAx3JVUJUU9IyautLu8/yKOjq4ffPLGNzu4o73rDnGGTxCgJEREREcmzcIlWQtQTUvoikYFNVPr9U9v549M7ADjR2cMn3rFkKIaVd5qOJSIiIpJnoZSekOKNwy9tOpaSkJLj/2/Un90H2wLflzolISIiIiL5VqKbFaoxvfQNNAkZrpSEiIiIiORZuEQrIWnTsUppcAJAJKIkRERERERyVEqVkDLfA25PT6xII5FM/NWqkUpJiIiIiEielWpjeiQcTpnu06UkpOSElISIiIiIyGCUamM6QEV5JPm+qztaxJHIaKYkRERERCTvSrMxHaCivPfxr1NJiBSJkhARERGRPCvVxnSASm8lRNOxpEiUhIiIiIjkW0oSUlpZSEWZpmNJ8SkJEREREcmzUIk2pgNUZjsdq9QGLiOKkhARERGRPCvl6VipjemZp2N5NzL07y8ikislISIiIiJ5V7qN6ZVZro7VE+1NUMoiemSU/NK/KBEREZE88xYOvBWFUpCyOlYfjempSYgqIYV0ztLJyfcVZWHaO3qKOJqhoSREREREJN88z+yv7Tqacqq2urzAg0mV7T4hPdHe5EmVkMKaP70h+b6rJ8YDz+4o4miGhv5FiYiIiOSZtzHd/zB/xqKJxRhSUmWWq2NpOlbxnLNkMmPrKpOf//TsTo63dxVxRPmnf1EiIiIieZbpAev85VNpqK3McLYwKiq8q2MFT8eKxeMp08g0HauwKsojvOOc2cnPnV1R/vDUyKqGKAkRERERybdQ+kN7JBziojNnFmEwqbyVkJ5ojFhAz0o0mpqcqBJSeOeePIWmxqrk5wf/tosjxzuLOKL80r8oERERkTwLWtH2DcsmM76hKv1EgXl7QiB4rxDvFDJQElIMZZEw7zp3TvJzd0+M3z65rXgDyjP9ixIREREZYqEQXHzWrGIPA0jdrBCcxme/bl8lpLxMj4zFcNZJk5k6YUzy81/X7+HA0RNFHFH+6F+UiIiISJ6FfNOxzjppEhPH1hRpNKmyqYTsPtDq+44eGYshHA7xnvN6qyHRWJzfPL61iCPKH/2LEhEREckz73SsEHDx2bOLNZQ0/iQkaIWsh1/YnXwfAhbPHDvUw5IMTl3YxKzJdcnPazfuY3dzWxFHlB9KQkRERETybN603n0ezloymWmeKTXFVulLQvzNzkdbO3nhtebk52XzxjOhsbogY5N0oVCIS1fNTX6OA/c+tqV4A8qTsmIPQERERGSkueSc2YypKicai0LOzccAAB7OSURBVPOm06YXezgpZkysJYTzMAvw7CsHWDZ3fPL8Y+v3pCzPe8Ep0wo7QEmzZM44Fk5vYNOuYwA8bw+y91AbU8aXTnI7UKqEiIiIiORZWSTMW86YwUVnziy5pu6xdZWYmY3Jz8/ZA8kpWbFYnEfX70meG19fycmeBEWKIxQK8U7PSlkA2/YeL9Jo8qO0/lchIiIiIkPu7CWTk+87uqKsf/0QAOtfb+ZwS+/0rFUrphEOWm9YCm6ib0pcTzR4o8nhQkmIiIiIyChzmpmYsvfH2o37AHjkhd4qSCQcYtXJUwo+NgkW8e3VEg3YZHI4URIiIiIiMsrUVJWxYn7vNKsNWw6xbV8LG7ccSh47dWETDbWVxRieBIhEUitSSkJEREREZNjxTsmKxuL87A8W72PtBSumFn5QklGZb1pcVNOxRERERGS4WTZvPGOqehdK3b6/t9G5sjyC0d4gJSUSTn1s71ElRERERESGm7JImDMWTQw8N2dKnRrSS0zadCxVQkRERERkODrLMyXLy7vZopSGiH86llsJiQ/TgoiSEBEREZFRav70BsbXV6Udnzulvgijkb6EQqGURKQ3CenNQsKh4VO9UhIiIiIiMkqFQyHOWjIp7fjcqUpCSpE3CUnsExL1JiHDaAqdkhARERGRUcw/JWtCQ5WW5i1R3r1CotF4yiukT9kqZUpCREREREaxaRPGMHtyXfLzollaFatUBU3HisVUCRERERGRYegjqxezYHoDS2aP5d3nzin2cCSDMs8KWd0B07GGUyWkrP8QERERERnJpjfVsuYDpxV7GNKPyooyoAuAjq4ooOlYIiIiIiIyhKorIsn3HV09gKZjiYiIiIjIEKpKSULcSkhMlRARERERERki1ZW9nRQdnW4lZJj2hCgJEREREREZBgIrIW6DOmg6loiIiIiI5FlVRW8l5IRbCUmdjjV8Hu2Hz0hFREREREaxqsr0SshwnY5V1CV6jTHXALcAY621RwPOjwO+DlwCTAReAW6y1t4ZEFsDrAGuBKYBW4Fbge9ba+O+2DLgWuDjwBxgL/BT4F+ttd0B1/4gcB2wEDgC3AV8xVrbGhC7GvgysBQ4AdwPrLHWHgiIPRu4ATgNiAMPAp+31m7xx4qIiIjI6OathERjcbp7YilL9Go6VhaMMecBN/VxfgzwZ+Bq4Cnge0Aj8As3efHGRoBf4jz8W+C7QLf7nW8FXP5W4NvAITd2N06yc0fAONYAP8O5V7cA63ESkgeMMRW+2CuB3+IkTD8AHgI+BDxpjGn0xa4CHsFJVv4LuBd4B/CMMWZ2pvsiIiIiIqOTd4legBNdPVodayCMMVcAfwSq+wj7NHAqcK219gpr7fXACuAl4JvGmIme2MuBi4GbrbWrrbVfAE7HSQI+a4xZ5vnZ5wCfAO4GVrmxq4DbgEuNMZd4YmfiJCdrgdOttV+w1q7GqV6c7V4nEVuLk/RsAU6x1l5vrb0Cp9oyDydBSsSGgB8B7e51r7PWfgRYDYwDbs7mPoqIiIjI6OGthIAzJSumJKR/xpgJxphf41QcDgCb+wi/GtgP/DBxwFp7HPgXoAb4e0/sp4Ae4EZPbDfOg38I+KgvFuBriWla7usanClRH/PEfhJnytqNvmlaNwItvtgrcRKI71hrWzzj+AlOdeZDbsUG4M2AAf7TWrvLE/sgTvXn3caY8ZlujIiIiIiMPlW+SkhHZ2olRNOxMlsKvBtn+tEpONOg0hhj5uH0dTxmrY36Tj/svp7vxlYCK4F11tojvthncKoN53uOrQKarbUbvYHW2j3ApoBYgEd9sR041ZHlxpgGX+zDpHsEGI/z+/cX+zAQAc4NOCciIiIio5R3nxBwKiGajpWd14Hl1toPBzWie8zzxKew1u4DOnCaxAFm4VQrgmKjwM5ErJuwTA+KdW0DGo0xTZ5x7HcrMEGxeMaRGHNQU3mm2KBx+GNFRERERNIrIV09qdOxIsMnCSno6ljW2p04SUF/ElORMiUqLUBDlrHHAOOuiDUui1jcax90r701i9jEODqttSeyjM00Dn/soDQ11eXy9SFVymMbaXSvC0P3uXB0rwtD97lwdK8LZyTc6/ZoyoKvlFeWpyzRW1dbNWx+z5yTEGPMNpxqRF9utdZe00+MV7n72pnhfCdOX0i2sQBVA4xNXHuoYjONwx8rIiIiIkJ5Weokpq7u1K6F4TQdKx+VkHuApn5inhngNRPVhIoM5yuBtgHExnF6Q6qziMV37aGKzTQOf+ygHDwYNIOsuBKZeSmObaTRvS4M3efC0b0uDN3nwtG9LpyRdK+PHU2dcHP4SHvK546O7qL8noOpvuSchFhrr8v1GgESDeaZpiTV46yclU1sA9BqrY0ZY44BsX5ioXdK1JEBxlYZYyqttf4KR1Bs4vj+fmJFRERERNJWv+ruiaWeDw2fSkjRNivsxyb3dY7/hDFmCs5UJese2gZ0ZYiNADMSsdbaLmB7UKzn5zVbaw97xjHJGBO0n8kcnITmNd+YZ2eIxTPmjL9fQKyIiIiISNp0qy5fEjKcpmOVZBJird0B7ADONcb4x3iB+7rWje0BngZOMcb4a0ErcXpH1nqOPQ5MNsakrD5ljJkKLAiIDQPn+WKrgLOAlzwrZz3uvnqX+PWO+RjwSpaxMQY+hU1ERERERrB+KyFKQvLidpzldJMN7W6S8SWcnorbPbG34fRSfM0TW46zsznAf/hiAW5MJDjuDubfwNnY8Eee2J8DUeCr7vK+CV/EmRLmjb0XOA5cb4xJrMKFMeYjOMvt/tham/iX8ihOkvVJY8xsT+ybgLcA91hrDwbdFBEREREZnfyVju6orxKiJXrz4ibgMuC7xpjzcfbUuBSYC1zre0j/KfBh4DpjzDLgeeAiYDlws7V2QyLQWvsXY8ydwOXAWmPMw8A5ONWOu4HfeWKtMeZm4PPAC8aY+4ElwGrgCTzJjbX2sDHmeuAHwDpjzF04Gy5ehjP9yrube9QYczVwH/CcMebnQC3wfqAZ+FxOd05ERERERpy0Ski3LwlRT0jurLUtOInBT9zXT+Hsq3GltfZ7vtgoTtLxHWAx8GmcBOsanATC7yrgK8AE4DPAZPfzB6y1cV/sGvc6cfe6S92fs9rfgG6t/SFwBc4eI5/C2Rn9Z8AFnj6TROzv3DG/AnwMuAS4H3iDtTbT3iQiIiIiMkqlV0JSl+gdTtOxQvG4/5lbRoKDB4+X3H/YkbREXqnTvS4M3efC0b0uDN3nwtG9LpyRdK+jsRgfv+mR5Oezl0xi7Uu9C61+4p0ncdZJkws+rqamugFnPyVbCRERERERkV7+JXj9jemR8PB5tB8+IxURERERGcVCoVBKIpK+T0ihRzR4SkJERERERIYJb99HNK2tYvhkIUpCRERERESGCW9zeixWci3AWVMSIiIiIiIyTISVhIiIiIiISCF5KyFRJSEiIiIiIjLUwkpCRERERESkkFQJERERERGRgvIu0aueEBERERERGXJaHUtERERERApKPSEiIiIiIlJQqoSIiIiIiEhBqRIiIiIiIiIFlbJZYVxJiIiIiIiIDDEt0SsiIiIiIgUVVk+IiIiIiIgUUiSkSoiIiIiIiBSQKiEiIiIiIlJQ6gkREREREZGCUiVEREREREQKKqIlekVEREREpJC8lZDhTEmIiIiIiMgwEVESIiIiIiIihaRKiIiIiIiIFJR3n5DhTEmIiIiIiMgwoUqIiIiIiIgUlHpCRERERESkoCLhkfH4PjJ+CxERERGRUUDTsUREREREpKA0HUtERERERApKlRARERERESkoJSEiIiIiIlJQmo4lIiIiIiIFpUqIiIiIiIgUlCohIiIiIiJSUOGQkhARERERESkgVUJERERERKSg1BMiIiIiIiIFpUqIiIiIiIgUlCohIiIiIiJSUKqEiIiIiIhIQakSIiIiIiIiBaVKiIiIiIiIFFRf+4SURYZPgqIkRERERERkmOirEjJnSn0BR5IbJSEiIiIiIsNEpp6Q2ZPrqB9TUeDRDJ6SEBERERGRYSJTJWTZ3PEFHklulISIiIiIiAwTmSohy+YpCRERERERkSEQVAkZU1XG3GHUDwJKQkREREREho2gSsjSueOH3f4hZcX84caYa4BbgLHW2qMB508D/hk4D6gDdgK/BG6w1rb5YmuANcCVwDRgK3Ar8H1rbdwXWwZcC3wcmAPsBX4K/Ku1tjtgHB8ErgMWAkeAu4CvWGtbA2JXA18GlgIngPuBNdbaAwGxZwM3AKcBceBB4PPW2i0Bt0tERERERrmgZGPZ3HFFGEluilYJMcacB9zUx/k3Ak8Cbwf+BPw7cAj4PPCwMabKExvBSU6+DFjgu0A38D3gWwGXvxX4tnu97wK7ga8DdwSMYw3wM5x7dQuwHichecAYU+GLvRL4LTAR+AHwEPAh4EljTKMvdhXwCE6y8l/AvcA7gGeMMbMz3RcRERERGb2CpmMtnTO8+kGgSEmIMeYK4I9AdR9h38cZ33nW2r+31v6/wJnAfwBnAFd7Yi8HLgZuttauttZ+ATgdJwn4rDFmmednnwN8ArgbWOXGrgJuAy41xlziiZ2Jk5ysBU631n7BWrsap3pxtnudRGwtTtKzBTjFWnu9tfYKnGrLPJwEKREbAn4EtLvXvc5a+xFgNTAOuDmL2ygiIiIio0zQZoXDaWnehIImIcaYCcaYX+NUHA4AmzPEnQQsAu6z1j6TOO5Oq/q6+/Htnq98CugBbvTEduM8+IeAj/piAb6WmKblvq7BmRL1MU/sJ3GmrN3om6Z1I9Dii70SJ4H4jrW2xTOOn+BUZz7kVmwA3gwY4D+ttbs8sQ8CfwbebYwZfimtiIiIiAypkC8JmT+9oUgjyU2hKyFLgXfjTD86BWcaVJAWnGlXPwk41+m+1gIYYyqBlcA6a+0RX+wzONWG8z3HVgHN1tqN3kBr7R5gU0AswKO+2A6c6shyY0yDL/bhgDE/AozH+f37i30YiADnBpwTERERkVFs6oQaGmqdykd5WZgPv31RkUc0OIVuTH8dWG6t3QBgjAkMcqsDmfpF3uO+vuS+zsL5PV4PuE7UGLMTp6E8kbBMB57OcO1tTphpstYexJlGtd9aezxDLO61n3VjwZmO1Vfsek9s2ph9sSIiIiIiSZFwmDUfOI2nXtrH4lljmTJ+TLGHNCgFTUKstTtxVrgaFGPMJHqnY/3IfU1MW0pbXct1zPmqKcOZLtVfLEADcNC99tYsYhPj6LTWnsgyNtM4/LGD0tRUl8vXh1Qpj22k0b0uDN3nwtG9Lgzd58LRvS6ckXSvm5rqWLJgYrGHkZOckxBjzDacakRfbrXWXpPjz2kAfgdMAv7d0ytS7r52Bn6x93jVAGMT1x6q2Ezj8MeKiIiIiIwo+aiE3AM09RPzTD/n+2SMacJZTetUnCVw/8lzOlF5yLQsQCVOw3k7vatx9RULkNiD5MQQxmYahz92UA4eDJpBVlyJv0CU4thGGt3rwtB9Lhzd68LQfS4c3evC0b0eeoOpMuWchFhrr8v1Gn0xxszD2SdkHvAb4DJrbY8nJNGMnmn6UgPQaq2NGWOOAbF+YqF3StSRAcZWGWMqrbX+CkdQbOL4/n5iRURERERGlKJtVpgNY8wKnA0L5+FsGHhpwAP+NqALZ+dz//cjwAycJXKx1nYB24NiXXNwVs467H7eBEwyxgTtZzIHJ6F5zRMLMDtDLIlxeGKDxuGPFREREREZUUo2CTHGzAcewNl9/NvAh30VEADcY08Dpxhj/LWglUANznK6CY8Dk40xKatPGWOmAgsCYsPAeb7YKuAs4CXPylmPu6/eJX4TLsCpbLySZWyMHKewiYiIiIiUqpJMQowxYZwNDZuA71pr/ymxsWAGt+H0UnzNc41ynJ3Nwdll3RsLcKP7cxI7mH8DZ2PDH3lifw5Ega+6y/smfBGo98XeCxwHrjfGJFbhwhjzEZzldn9srY25hx8FdgCfNMbM9sS+CXgLcI+7RLCIiIiIyIhT6H1CsvVu4HSclaJajTFfDYjZZ639ofv+p8CHgeuMMcuA54GLgOXAzYl9SQCstX8xxtwJXA6sNcY8DJyDU+24G2cFrkSsNcbcjLNx4gvGmPuBJcBq4Ak8yY219rAx5nrgB8A6Y8xdwDTgMpzpV97d3KPGmKuB+4DnjDE/x9l88f1AM/C5gd8yEREREZHhoVSTkMSO4pXAlzLErAd+CMmH+otwKiGX4ew2/jpwDU5S4HcVzmaHHwI+g1OV+ApwU0DFZQ3O3iZXA58G9gHfAb7m70+x1v7QGHMEuB74FHAYp5flS54+k0Ts79wx/3/Ax4BW4H7gi9baTHuTiIiIiIgMe6F4vK9ZTjJcHTx4vOT+w2qJvMLRvS4M3efC0b0uDN3nwtG9Lhzd66HX1FQXGuh3SrInRERERERERi4lISIiIiIiUlBKQkREREREpKCUhIiIiIiISEEpCRERERERkYJSEiIiIiIiIgWlJERERERERApKSYiIiIiIiBSUNisUEREREZGCUiVEREREREQKSkmIiIiIiIgUlJIQEREREREpKCUhIiIiIiJSUEpCRERERESkoJSEiIiIiIhIQSkJERERERGRglISIiIiIiIiBaUkRERERERECkpJiIiIiIiIFJSSEBERERERKSglISIiIiIiUlBKQkREREREpKDK/m97dx4kR1nGcfzLfRsuhSoUiWAeFAVBRLA4wqESQcAgFldBxHAYBIxIMJENmwCLB7dQkBgQrAQ0ICKgBYlAkJtEQihifLgMCMghCQQMRAzxj/dtdpj0THZmZ6ffmf19qqY62/vOO/0+2+np5+233y56AyRtZrYp0AnsB2wCLAD+DIx192fKyh4FjAQGAQuBqbHcWzn17gecAXwGeBu4BRjt7q/klD0OOBEw4FXgVuBsd3+hMa1MQ1/FuuQ9KwMPAi+6+0EVyuwCnAV8HlgG3AGcXv75rSyFOJeVvwn4qLvvWFeDElZ0rM1sJeB44DjgU8BSYA5wvrvf2Nv2pSSRWB8JnEI4Vi8Gbo/1zu9l85JRdJxzyn8OmAlMcfdhdTQpWUXH2sy2Ap6ssolrufs7tbRJPkhXQqSieAB4mPAlPg+4OP58ODDTzD5ZUnY0cA1hn/oF4Yt+JDDNzFYvq/cwQiLxEeBy4E5gGHC/ma1fVvYyYAKwKXA14aT4KOCh0s9vdX0V6zKXAF+osg27AzMIieHVwE3A14GHzWyL+lqWlhTiXLY9o4EDa29J+hKJ9UTCMWYAMAm4lnCC/Dsz+0F9LUtPIrE+G/g1sA7wS2AacCgw28wG1deytCQS59LtWRW4ijbsUE4k1tvG5W+BcTmv/9XcMPmAtttxpaE6gY8Bp7r7BdlKMzsCmAycDxxgZpsD44EHgD3c/d1YbjzQQeiFvDSuWzf++xlge3dfFNdPA64kXB35YVw3GBgBPAXs5u4vxfUXE3ovJgJ79lnrm6uTBse6pI61CLE6stKHx17MiYTeyx3d/fm4fgowHTgP+GYjGlqwTgqMc0nZVYCfAW1zIpyjk2L36Z2B4YRjxd7uvjiu7wD+CnSZ2XXu/q+GtLZYnRQbawNGAw8RjtVZvZOB24BzgEMa0dCCdZLA8aPEKGD7ehuTuE6Kj3WWhHS5+2O9bZAsT1dCpJpvEIY/XVS60t2nAE8DX42XM48nJLRd2QEg6gIWEU4EMocBGwIXZglIrPMqwIFh8QQNQi8aQEeWgMSyswm9HoPNrF0OwH0Ra8xsH2Au4WA7rcrn70PoIb4yS0Di599BSEIOMrON6mtaUoqOM2a2IzCbkIBULdviio710Lg8J0tA4ue/DFwBrAHsVXuzklR0rLcDngfOK63X3W8nDI3Zpb5mJafoOJe+Z2tgLPCnulqSvhRivS3wLuFKjPQBJSGSKyYCXUCnu7+XU2QJsHp87R7X3V1aII6VfADYzswGxNVZ2bty6pwBbEQYDgQwMC4fzCmb9UrsWrUhLaAPYw3hQLse8B3CwbqSan+Xu4BVaPFYJxJngIMI+/ZphOFubSeRWE8nDJmYWeHzAdat3pL0pRBrd5/q7pu7+w1l27YJsD7wck2NSlAKcS7ZlpUJIwfmE64CtJWEYr0t8Pey5EYaSMOxJJe7LyWMwVxO7IHZGnja3d8xsy2Bl939zZzi8+NyEOFkYMv4c96NzqVl59B9orBGTtnsoPLxyq1oDX0Yawjj4E9290UruK8j+7s8vYJ6W1YicYZwr80l7v5KHNPddlKItbtPJyQiebKbUOdWa0crSCHWOZ+7NrATkA2jOben701VYnE+mXB1aQ+6vyfbRgqxNrN1gE8Ad1m4NzW7OX4eYWKLKTU3TJbTll+A0ndiD8ylhKtoE+PqjYB/VHjLG3E5oKTsEnd/uwdlZxF6iodS8iUW71/Yv6xs22lArHH3e3v4cdlQq9d7Um87aXKccfdZdWxmW2h2rCtsw9HAl4DHgft7U1fKiop1PCl8qmTVyPIrJO2k2XE2s4GESQAmuPs9FmbH6heaHOvPAisRhmxuDFwPfBg4AJhsZoPc/cyaGiDLURIiPRZP/icAexMShGys5mpU7o3J1q9ZR9lJwKnAWDNbBPyGMPPKGYQDBISDRNtpUKxrsVpZHY2qN2kFxLnfSiHWcTz4BMI47+EVhnq0vIJjvSpwWVweCFxgZuu5+1m9rDc5BcV5EqGz6PQ639+SCoj1AMJ9qtOBU7JjhZltBtwHdJjZje4+p466JdI9IdIj1j0V4HDCUKoD3f2/8ddvE8Zm5smGUv2n1rLu/iLh5rTFhN6PfwPPEg5CI2LZxbSZBsa6FtmVqby6e1NvsgqKc7+UQqzNbH/C84hWA4a5+0O9rTNFRcfag++5+wmE+/ueAMab2U69qTc1RcTZzI4l9MyPKJ3Ypd0VEWt3v93dt3b3k0o7Kzw8n2wcoQP00IoVSI8oCZEViuN7/0B4lseTwJ4xQcgspPJQnWz9GyVl1zSzavd5ZGVx9zuBrYBvA2MI0zx+GngtFmn5Gx5LNTjWtVhYVkej6k1SgXHud1KItZkNJ9yLsypwtLtf25v6UpVCrEu5+2uEh59CGMbSFoqIc+yB/zlwvbvfXNMGt7DU9unokbgcWLWUrJCSEKnKzDYgPEzwa4RpRXd19+fKij0BbBLn3i43EHiP7qeOPhGXW1QoC+ES6PvcfaG7X+3u57r7De6+BMieLv23WtqTsj6IdS2yv0veQTX379KqCo5zv5JCrM1sDOHhee8CB7v75HrrSlmRsTazbczscDPLG/bybFxuXGu9KSowzl8mnFQfYmbLslfcBoCj47rOGutNVsH79JZmtldMgspln6WnpfeSkhCpKH6h3Ap8kTD93WB3fyWn6L2EfWm3nPfvDMwtmbkiuylsj5x6BhN6LObF9w81s1fN7OCcskMJ4z1n1NCkZPVRrGuxor/Le4Sn1ba0BOLcb6QQazM7mfCgvEXAV9q1BzmBWH8fmEI4US63XVzmzbzXUgqO86PkP7V7Qvz9nPjzjBrrTVIC+/SZwB3Avjm/y6ar77eTjDSKkhCpposwi8wDwJAqY1CnAEuBzrJhVmOAD9E9iwWEIRFvAqPMbMNspZkdQ5hGb1LJ+MtHCDNfHB9vSsvKdhDm757o7gtpD30R61rcDTxHiPUW2Uoz25twYvF7d3+1zrpTUnSc+5NCY21mOxCeqryEkIDcU089LaLo/XpqXI4v7ZGOMzl1EHqMr6uz7pQUFmd3f9TdO8tfhAdvAmS/n1Fr3Ykqep++Pi7Hxul6ATAzA35EGAbWlsM6m0mzY0kuM9sUODH+OA84PfzfW85P3N3N7DzCbB2zzewWYBvCvNr3EYZCAODuC8xsFHA58KiZTQU2A75FuKzaVVJ2vpldBIwE7jezvxBmxRpCSFA6GtjkwvRVrGvh7kvNbARh7O0sM5tCeJDbEYQJAU6rp96UpBDn/iKRWHcSvuMeA4aY2ZCcMre5e97DUFtGCrF29+lm9ivCvXtzzexmwkMKhwJrE+7Deb6eulORQpz7ixRi7e63mNl1wGHA43Gf3oAwWc6awFB3X1BP3dJNSYhUsjPdM04cU6XcRYRertHAPwmzVp0CvARcCIyL93C8z92vMLOFwCjCgWYBcA3w45z/1KcReuiHAycBLxCeGfJTd2+XG4P7LNa1cPc/mtm+hMvQw4G3CLMJjXH3SvOwt5Ik4txPpBDrbHjGDvGV53WgpZMQ0og1hCdQzwJOAL5LmLXoHqDL3e/rRb2pSCXO/UEqsT6ScHw4lrBfLyaMGhjn7jOrvVF6ZqVly5YVvQ0iIiIiItKP6J4QERERERFpKiUhIiIiIiLSVEpCRERERESkqZSEiIiIiIhIUykJERERERGRplISIiIiIiIiTaUkREREREREmkpJiIiIiIiINJWSEBERERERaSolISIiIiIi0lRKQkREREREpKmUhIiIiIiISFMpCRERERERkaZSEiIiIiIiIk2lJERERERERJpKSYiIiIiIiDSVkhAREREREWmq/wP9Es/8GwMqcQAAAABJRU5ErkJggg==\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -1342,6 +1347,836 @@
     "date = bt.trade_log['leg_1']['date']\n",
     "plt.plot(date, capital);"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "To run the backtest monthly, use the boolean parameter *monthly* on the *run* method (False by default)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Short ATM straddle (monthly)\n",
+    "short_straddle_monthly = Strategy(schema)\n",
+    "\n",
+    "leg1 = StrategyLeg(\"leg_1\", schema, option_type=Type.CALL, direction=Direction.SELL)\n",
+    "leg1.entry_filter = (schema.underlying == \"SPX\") & (schema.dte > 60) & (schema.dte <= 90) & (schema.strike >= schema.underlying_last * 0.95) & (schema.strike <= schema.underlying_last * 1.05)\n",
+    "\n",
+    "leg1.exit_filter = (schema.dte <= 60)\n",
+    "\n",
+    "leg2 = StrategyLeg(\"leg_2\", schema, option_type=Type.PUT, direction=Direction.SELL)\n",
+    "leg2.entry_filter = (schema.underlying == \"SPX\") & (schema.dte > 60) & (schema.dte <= 90) & (schema.strike >= schema.underlying_last * 0.95) & (schema.strike <= schema.underlying_last * 1.05)\n",
+    "\n",
+    "leg2.exit_filter = (schema.dte <= 60)\n",
+    "\n",
+    "short_straddle_monthly.add_legs([leg1, leg2])\n",
+    "# Exit thresholds: none\n",
+    "short_straddle_monthly.exit_thresholds = (float('inf'), float('inf'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "bt = Backtest(capital = 0)\n",
+    "bt.strategy = short_straddle_monthly\n",
+    "bt.data = data\n",
+    "bt.stop_if_broke = False"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "0% [██████████████████████████████] 100% | ETA: 00:00:00\n",
+      "Total time elapsed: 00:00:09\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th colspan=\"8\" halign=\"left\">leg_1</th>\n",
+       "      <th colspan=\"8\" halign=\"left\">leg_2</th>\n",
+       "      <th>totals</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th>contract</th>\n",
+       "      <th>underlying</th>\n",
+       "      <th>expiration</th>\n",
+       "      <th>type</th>\n",
+       "      <th>strike</th>\n",
+       "      <th>cost</th>\n",
+       "      <th>date</th>\n",
+       "      <th>order</th>\n",
+       "      <th>contract</th>\n",
+       "      <th>underlying</th>\n",
+       "      <th>expiration</th>\n",
+       "      <th>type</th>\n",
+       "      <th>strike</th>\n",
+       "      <th>cost</th>\n",
+       "      <th>date</th>\n",
+       "      <th>order</th>\n",
+       "      <th>cost</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>SXY070217C01345000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-02-17</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1345.0</td>\n",
+       "      <td>-8530.0</td>\n",
+       "      <td>2006-12-06</td>\n",
+       "      <td>STO</td>\n",
+       "      <td>SXY070217P01345000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-02-17</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1345.0</td>\n",
+       "      <td>-790.0</td>\n",
+       "      <td>2006-12-06</td>\n",
+       "      <td>STO</td>\n",
+       "      <td>-9320.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>SXY070217C01345000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-02-17</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1345.0</td>\n",
+       "      <td>8200.0</td>\n",
+       "      <td>2007-01-03</td>\n",
+       "      <td>BTC</td>\n",
+       "      <td>SXY070217P01345000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-02-17</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1345.0</td>\n",
+       "      <td>540.0</td>\n",
+       "      <td>2007-01-03</td>\n",
+       "      <td>BTC</td>\n",
+       "      <td>8740.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>SXY070317C01355000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-03-17</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1355.0</td>\n",
+       "      <td>-7920.0</td>\n",
+       "      <td>2007-01-03</td>\n",
+       "      <td>STO</td>\n",
+       "      <td>SXY070317P01355000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-03-17</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1355.0</td>\n",
+       "      <td>-1030.0</td>\n",
+       "      <td>2007-01-03</td>\n",
+       "      <td>STO</td>\n",
+       "      <td>-8950.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>SXY070317C01355000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-03-17</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1355.0</td>\n",
+       "      <td>9860.0</td>\n",
+       "      <td>2007-02-01</td>\n",
+       "      <td>BTC</td>\n",
+       "      <td>SXY070317P01355000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-03-17</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1355.0</td>\n",
+       "      <td>280.0</td>\n",
+       "      <td>2007-02-01</td>\n",
+       "      <td>BTC</td>\n",
+       "      <td>10140.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>SXZ070421C01485000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-04-21</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1485.0</td>\n",
+       "      <td>-1140.0</td>\n",
+       "      <td>2007-02-01</td>\n",
+       "      <td>STO</td>\n",
+       "      <td>SXY070421P01375000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-04-21</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1375.0</td>\n",
+       "      <td>-690.0</td>\n",
+       "      <td>2007-02-01</td>\n",
+       "      <td>STO</td>\n",
+       "      <td>-1830.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>154</th>\n",
+       "      <td>SPX150821C02010000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>call</td>\n",
+       "      <td>2010.0</td>\n",
+       "      <td>-11900.0</td>\n",
+       "      <td>2015-06-01</td>\n",
+       "      <td>STO</td>\n",
+       "      <td>SPX150821P02010000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>put</td>\n",
+       "      <td>2010.0</td>\n",
+       "      <td>-2440.0</td>\n",
+       "      <td>2015-06-01</td>\n",
+       "      <td>STO</td>\n",
+       "      <td>-14340.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>155</th>\n",
+       "      <td>SPX150821C02010000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>call</td>\n",
+       "      <td>2010.0</td>\n",
+       "      <td>8940.0</td>\n",
+       "      <td>2015-07-01</td>\n",
+       "      <td>BTC</td>\n",
+       "      <td>SPX150821P02010000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>put</td>\n",
+       "      <td>2010.0</td>\n",
+       "      <td>2650.0</td>\n",
+       "      <td>2015-07-01</td>\n",
+       "      <td>BTC</td>\n",
+       "      <td>11590.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>156</th>\n",
+       "      <td>SPX150918C01975000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1975.0</td>\n",
+       "      <td>-12230.0</td>\n",
+       "      <td>2015-07-01</td>\n",
+       "      <td>STO</td>\n",
+       "      <td>SPX150918P02015000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>put</td>\n",
+       "      <td>2015.0</td>\n",
+       "      <td>-3720.0</td>\n",
+       "      <td>2015-07-01</td>\n",
+       "      <td>STO</td>\n",
+       "      <td>-15950.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>157</th>\n",
+       "      <td>SPX150918C01975000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1975.0</td>\n",
+       "      <td>12720.0</td>\n",
+       "      <td>2015-08-03</td>\n",
+       "      <td>BTC</td>\n",
+       "      <td>SPX150918P02015000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>put</td>\n",
+       "      <td>2015.0</td>\n",
+       "      <td>1560.0</td>\n",
+       "      <td>2015-08-03</td>\n",
+       "      <td>BTC</td>\n",
+       "      <td>14280.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>158</th>\n",
+       "      <td>SPX151016C02000000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-10-16</td>\n",
+       "      <td>call</td>\n",
+       "      <td>2000.0</td>\n",
+       "      <td>-11020.0</td>\n",
+       "      <td>2015-08-03</td>\n",
+       "      <td>STO</td>\n",
+       "      <td>SPX151016P02000000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-10-16</td>\n",
+       "      <td>put</td>\n",
+       "      <td>2000.0</td>\n",
+       "      <td>-2160.0</td>\n",
+       "      <td>2015-08-03</td>\n",
+       "      <td>STO</td>\n",
+       "      <td>-13180.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>159 rows × 17 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  leg_1                                               \\\n",
+       "               contract underlying expiration  type  strike     cost   \n",
+       "0    SXY070217C01345000        SPX 2007-02-17  call  1345.0  -8530.0   \n",
+       "1    SXY070217C01345000        SPX 2007-02-17  call  1345.0   8200.0   \n",
+       "2    SXY070317C01355000        SPX 2007-03-17  call  1355.0  -7920.0   \n",
+       "3    SXY070317C01355000        SPX 2007-03-17  call  1355.0   9860.0   \n",
+       "4    SXZ070421C01485000        SPX 2007-04-21  call  1485.0  -1140.0   \n",
+       "..                  ...        ...        ...   ...     ...      ...   \n",
+       "154  SPX150821C02010000        SPX 2015-08-21  call  2010.0 -11900.0   \n",
+       "155  SPX150821C02010000        SPX 2015-08-21  call  2010.0   8940.0   \n",
+       "156  SPX150918C01975000        SPX 2015-09-18  call  1975.0 -12230.0   \n",
+       "157  SPX150918C01975000        SPX 2015-09-18  call  1975.0  12720.0   \n",
+       "158  SPX151016C02000000        SPX 2015-10-16  call  2000.0 -11020.0   \n",
+       "\n",
+       "                                   leg_2                                     \\\n",
+       "          date order            contract underlying expiration type  strike   \n",
+       "0   2006-12-06   STO  SXY070217P01345000        SPX 2007-02-17  put  1345.0   \n",
+       "1   2007-01-03   BTC  SXY070217P01345000        SPX 2007-02-17  put  1345.0   \n",
+       "2   2007-01-03   STO  SXY070317P01355000        SPX 2007-03-17  put  1355.0   \n",
+       "3   2007-02-01   BTC  SXY070317P01355000        SPX 2007-03-17  put  1355.0   \n",
+       "4   2007-02-01   STO  SXY070421P01375000        SPX 2007-04-21  put  1375.0   \n",
+       "..         ...   ...                 ...        ...        ...  ...     ...   \n",
+       "154 2015-06-01   STO  SPX150821P02010000        SPX 2015-08-21  put  2010.0   \n",
+       "155 2015-07-01   BTC  SPX150821P02010000        SPX 2015-08-21  put  2010.0   \n",
+       "156 2015-07-01   STO  SPX150918P02015000        SPX 2015-09-18  put  2015.0   \n",
+       "157 2015-08-03   BTC  SPX150918P02015000        SPX 2015-09-18  put  2015.0   \n",
+       "158 2015-08-03   STO  SPX151016P02000000        SPX 2015-10-16  put  2000.0   \n",
+       "\n",
+       "                               totals  \n",
+       "       cost       date order     cost  \n",
+       "0    -790.0 2006-12-06   STO  -9320.0  \n",
+       "1     540.0 2007-01-03   BTC   8740.0  \n",
+       "2   -1030.0 2007-01-03   STO  -8950.0  \n",
+       "3     280.0 2007-02-01   BTC  10140.0  \n",
+       "4    -690.0 2007-02-01   STO  -1830.0  \n",
+       "..      ...        ...   ...      ...  \n",
+       "154 -2440.0 2015-06-01   STO -14340.0  \n",
+       "155  2650.0 2015-07-01   BTC  11590.0  \n",
+       "156 -3720.0 2015-07-01   STO -15950.0  \n",
+       "157  1560.0 2015-08-03   BTC  14280.0  \n",
+       "158 -2160.0 2015-08-03   STO -13180.0  \n",
+       "\n",
+       "[159 rows x 17 columns]"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bt.run(monthly=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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S0zRPSWt/iHrZ1QOoi443o17m9HLTNB8BIV3OJUXJE+BnzN65QWa3UyjVcPLCCk5drHcoevr0Is7N6PtjbFcTvm3bWMmXYVn6DE2hVBdfOoIOrKvWLM/07K1iJwtEQkhn0ZZtSdM03w3g3YrHbQB/2/gvyPN8FsBnA679BoBvBFx7CHUBQsi2olK1ML9SVP5MV9q0XYPMnUCxXPW8f0trJezfo24jWNymAeiH7zqCHzwzg2v2DeO/vuX5SKfUe2V+WQqdh0K5tlTDSHrrvSgUFISQTmGzMxSEkDYyu1Tw1Hw76IbbbdcgcyegEoNrPoPXtmOb0UsLefzgmRkAwMkLK3jq1IJ2rd+5CSUoOsRHIWYXDx+fw5e/dxoreX/zOSGEtAMWThOyjVB1eHLQZShYh929qAWFPjAOM7eiW1iQMnJzS+qmBACwmi8jlVT7S8J0b+qU8+gcx5HTC/jrLzwBAHj82Tn8/i/f4ffPCCEkdpihIGQbMb2oD6Z0GQqWTXQvKv+L3y78dvTLyK93aU2/Qx9fyVNnZCicz+6J8xvzWE9cWEFF0SKaEELaCQUFIdsInSEboIdiO6J673K+gmL7vdeySFhaK2lW1jMUOpq13BXpmAyFIxClQ9+OwpEQ0tlQUBCyjZgRWsbuHutz/axUUe9aMvjoXlT+F18PRamKmmXh/sfO41uHpny7HnULskjwFxTxZBY6xkOhETbbUTgSQjobeigI2UaIGYr9e4YwI5RAlTTCgcFH9xLWlF0s13D3g6fxbw+eBgDMLRfxC696TrsOb1OQRcLiqo+g8Dk3YeiUadm64+BnmhCy2VBQELJNKJarrvrxyycG8FgygVqjN3+pYkE172wzPBQPPnkRpy+u4lXPvxz7Jgba/vt2CuWq5Zm9kPPZPS+UqnhWqLd/5sxi245ts/BmKPw8FPF0QIrymTl1cQV//+WnkU4l8Y7X34TLY/gc6LKL9EURQjYbljwRsk2YkQzZe8b70JPZ6JWvbRvb5t3MJ07M4+P3HMU3D03hb7/4JOwQteqkOcWKO3hs5qEQT7+f+OgW5IxMoVTVXutrsZU8hQ/Y737wNC7O53FuZg1feehMLMdRLNWU3g9mKAghmw0FBSHbBNmQvWesHz1ZQVDo2sa2eTfz+09fWv/zxfm8b0kOCY8cPPq3jXX/zG9tt6DyRSzl1GVPcZU8RfnMLOc2siMzS/rmCWGwod4ooC+KELLZUFAQsk2QW8buGet3Zyi2oMuTbds4ctpdVtMp9efbBdmYW6rUtG1D5ffaMWl3M6oypiWNjyKukqcoGQqRXIxCTiVumKEghGw2FBSEbBPEoXbD/Rn096YDCor2BfhTszms5NxBXKvBGHETZhaFalJ2bpPej6OnF/BDcyZUe9ZmWLatzLLofBRrhYp2knwYWs3qBc3S5YvVpp24VIMpVd2/CCGkndCUTcg2QRQUe8b7AcBd8qQdbNe+3cwjpxY8j1FQxEuYWRSqNqO5QgXD/dnYj0vkwScv4uP3HAUA/OQL9+MXfiyezlL5YlUpUBZXS562yQBg2/H4RlrNsuWKFVi2jaSqS0KDL3z7BO556Az2jvfjv771+dr3SCUemKEghGw2zFAQsk0QS57WBYWQoShuQYbiyGmvoNgORuBOIkyGolSpeUzxcZbf6Hjy5Pz6nw8dn43teXUlTO2eRdFqhsK2/bMI1ZqFrz1yDkDdG/Xo0ZlQx6LKRBFCSDthhoKQbcBaoeIKIvc0dmd7Mht7BmWdKbtNu5mVag3Hzi15HqeHIl6izKJwrd0EgSd2thU7LRVKVdz1wClUqhZe/9IDGBnsCfW8OnEQdVp2UOK4hteKVfT3ZpQ/q9VsV6nT/HJR+zzKkidmKAghmwwFBSHbgOlFd9eYvaqSJ42gKJXVrSdb5djUstIcXNhGJU+2bSPhU7ayGShLnvxmUUjr/drMtoN8qe4LSKeS+PJDp3Hvo/Wd+EKpine8/qZQz6UXFH6zKOLIUNRgWTaSyejvfa5QAUa9ZVkqlnP610NTNiGkE2DJEyHbgGlFy1gAgeZQNPtZVJ5W+CeAzTMBt5NqzcJf/cvjePtf3Ic7v35sS49FFVD6Ziik9ZstKICNa+Di3MZ1e+rSaujnWS2EL3mKq21xq6WCYc77ik9WRVU6xcF2hJDNhoKCkG3A9IK7ZaxjSA2SoQDas6Op8k8A26Pk6dmpZTx+Yh62DXzzh1OYWyo0/0chKFfq5WK6MjURtSlbf463ouRJZk0RIEcRNrpBdUtrJW03J7nkKZuJ9jXYanOBMMJm1SdDofo8MUNBCNlsWPJEyDZALHkaH+5BtpGZEDMU1ZqNWk0dZcW9o7mSK+Ps9JryZ/ltYMqWS4rmV4qYCFi+0oxqzcL/9Y8/xLmZNUyO9uLP3v4iZNL6oFdnyh4bUvsRZGG5GaZsGVUwnStUQpcR6cqXyhVLe03L/6a/J41yJbyvovVOT8H//bJfhqJcQ39PWnqs+0U7IaS7YIaCkG2AOCXbKXcC3IIC2Lzhdk+fcWcnRJvBdmwbG+f076dOLeDcTF2MzS4V8bQm0+MQ1pTdytq4UP1OG+GDdF3JE6Ave5KnZQ9ojNHN2KxZFACwmqtofU5KD0UbW0ETQogKCgpCuhzbtl0tYx1DNuAueQL0wiHuNpPi/Il0KoFrLx9Z//t28FDIxBmUm2fdk8XnV/QdfgCNoAiRBdqKNr5yUL/+eMgOTH4Ga62gkH5HX2+0RH3LGYoQ14xl29r16i5P2+8zRshWMjW7hg994Ql8+l6THiUNLHkipMtZzpVdpuo9wkAvOUOhq8mPc7Kubdt4+vRGUHzdFaMY7NvYBd5qD0W5UsN3Hr+A/t40XnTTXt/hYkGJU1A8c9bdandhRW8wBqDspBUmWN2SDIVGCIQtvxKfZ2KkF3NCe9WlVbU4qUplfwM9EQVFqx6KkEJOnjjvwC5PhLSfT331GZw4vwIAmBztw0+8cP8WH1HnQUFBSJfj6fAkZCh6t6Dk6eJ8HourG0HwjQfGXIHeVnso7vz6MXz3iYsA6tmS195xZcvPGZcPIV+s4uy0u9vR4qp/hkJFGJHQKR4KwL+Eqdn6K3cPugWFT6cnkf6IGYpWdynDnnedoFBtBpSrFmqWhVSSRQiExMGMUAUwNav2B+50eLchpMsRy50At6DIyiVPuuF2MWYNjkjtYm+6etwVtOWLVc+05s3k6JmN7Il51jt4Lwpx7fIfn1rydCdqlqFQkStUEfQMb0WXJ12pUpjzaNu263kmR/tcJX7BBUU0D0Wrmbaw18yK5pzpBlMyS0FIeyjQo6SEgoKQLkc0ZCcTCUyM9K7/3VPytAnBh9gudrAvg/17hlxdaGqWjXLFW6azWYhBaFzZkrgEhUrgLETIUFi2HbiMrVSuuaYybwa68xXmPJYqNVe511B/BqPCpO3FgIJiYKsyFG0seQJozCakXdBDoYaCgpAuRyx5mhjtRTq18bGWS560GYqYTJzVmuUKim88MIZkIuHppLNVPopypeYq+4prpymuXf5nJEM2ACyuliJNMg9nzN7c92NNU9oUqvORtGM/1J/F2GB2/e/LPtOyReSWq0HReShs28bH7noSv/6X38J3H7+g/fdh527ohtvpgpu4Gy0QQupstQ+wU6GgIKTL0XV4ArwlT+32UJw4v+z6HTcdGAfgrVPfis5CgDdgzZfiOY44pk3ni1WcmfZOi67WbN9uRjo6uXWsNkMR4nXKzzHUl8GoMHujZgUTYXGXPB05vYB/+85JnL20ik9//Zj2teaLVViWjZV8GY8cnXb5jlQs6zwU5ZpScLLkiZD2wAyFGpqyCeliLMt2mcXEGRSAN0PR7i5P8nTsm65WC4qtmkUhB+axZShiCMhV/gmHhSatY1WEETlxCKIwxFHyJLd/HerPukqeghK3KfvMpQ1RWKlauDSfx3OuGPGss1Fvn/tnn/oB5leKGOhN47//55doj2clV8Zl0oaBg2qjgK1jCWkPFBRqmKEgpItZWCm66t/3jLunNcseCt2uZVy7maIhe+94P8aH636O/h6p5GmrBIVUahOXQTxXaP15/AziUYzZ4To9ba6gKJTUvo3WSp4ykQRFbzaFKJ2Dddfw/LJb/M0tF5TrAODYuaX1OSO5YhVHz+iHGPrN6OBwO0I2D/nzdvT0Ar77+AVUqjv7M8cMBSFdjF+HJwDIZNx7BrqYN44dl7VCBacvbuzOOtkJwGt8javUKCxyEGrZdYO4PAAwLJZto1CqRi6fAdz+iZGBrKvEJVrr2ODv6VZ0elKJh9YFRVazWk8CdR9FWB+J7jMz5xEU+vdONlov+fg+dKbs+rF4Axl6KAhpD9WajUq1hkw6hcefncNfff4JAMCTpxbwa2+4eYuPbutghoKQLuaSPINizJ2hSCYSniyFCl3ryTA8c2bR1arU8U8A3mnEWzUtW+VFiMtg10rZk+yfuMPYjVRyY9t8oUl9vYowInFLZlEo3otQgkLINqWSCfT1pCNlKAB4mgYEQXfdyALCb9K5nBnya3W7nKtoWwGrxAM9FIS0j3xDxIttyI+e1mcYdwIUFIR0MWKHp3QquV5iJNKTaf4xjyP4eEood0olEzD2j67/Xe6kU9giQaHqLhRf69jor0n2T9xw1RjGBINxFA9FGLbCJL+qEA+5QjVwRytRHA72ZZBIJFym7DDIgjcIhZK3zM22bY+A8MtQyAJqyUc4VmtWqBaxcfmiCCFenM+ieL8K2Adi20JBQUgXM+0yZPchqSgGD1LO02rwYdu2yz9x7b5h9AkiIp1KujIlcbbdm5pZwx//wyN43ycfxfm5nO9aVYaiE4zZsn/C2D+KcVFQRMhQhGGzuzzpfqdTOhbo3wvv5VB/PcMwFqHkCYg2i6Je9uD2gazkyp7HfAVFMXiGwnl+FUoPBTMUvqzkyjh5YSVSS2ZCtsoH2MnQQ0FIFyNmKGT/hEOQkqdWg4+ZxYJrZ/ZGwT/h0N+bXu9GE+eO+D994xjOTq8BAL7y0Gn87z97k3atqsymE1rHiv6JKyYHMdiXaWSblgEAi+3OUHSIoHAeL5VruPPrx2BZNt78muuwe8x7bYsm5aH+upDIpFMY6A3vh4g6i6JQqiIrfL5U4mF+uagNWuVSMz8PBeAjKFjyFIrZpQLe98lHkStW8cKDu/Gf/8POrXsn0WCnJy/MUBDSpVRrliuAkTs8OQQRFKVKLXDffhW6drEiYjvMuHZ3iuUqjk8tr//9wnzeZ7W6U85Weyhk/8QNjVIxseRpcbXc1p3ULclQaLoWreUr+LcHT+Ox43N4/MQ8Pv/tk8p1q4oMBQBt2ZOfaIhrFoVKUFRrFlY1QsBT8tQsQ6GZ06HKsrFtrJ4nTsyvi85Hj87wXJHQUFB4oaAgpEuZXSq4gkx5BoVD0A5GrZQ9ieVO/T1pXL132LNGDOjiEhTHzi27hJBfa01AXbcfl58jalAu+yeM/WMA4PLDWLYdePJzFLbCJK96L4D6eZwXWq2eOL+sXCf++8E+QVBojNmi6JBRzX4I0klWvo51LWJ1ZU9ypi5XrGpnxQD6DIXqsxtXKV+c1CwbJ6aWYvMtRUUsS7PRmeeKdDaclu2FgoKQLmV6wR28yFOyHYJkKIDoQX7NslwlOwcPjCGZ9IZjYieduG7Gct/+lVzFdx5EW7s8RQySVP4JAC4PBYCmk5RboVM8FKrHF1dLKEnlO7JB2Sl5AqBtHSuukVF5KOSWyyrkXUp5BoWDVlAozsGST3vYFY1gVl3xnbjr/ueffATv/uC38fsf+75vG9zNhrvNJCy8ZrxQUBDSpUwv+reMdQiaoShE9BKcurDq2uET28WK9LkyFPEEsGLLPsAJNNW7jZZlKwO4ZoJiNV/G3/zLYXz8nqd9g/qoPgTznNc/AcDTsWshwiyKoGxFlyeVnwVQCw25PbJqBoVDpAyFohwqm27+uQlS8lR/XJ25UIl4v05PsuHbj07zUKwVKvj+kUsAgOVcGYefndviI9qAMztIWCgovFBQENKliIbs3mwKwwPqHdjAGYqIN8inTs27/q4yZAPuXeA4sgJrhQrONczYIrqyp7Wiuo9/s3KHz9xr4msPn8GDT17Cv9z3rO/xhKVQquL0Jfrv8d8AACAASURBVK9/AgDGht2BsTwtO+j7GoRyxdr0Ka9+JU8yXkHhfo/F7MOYxkPhX/Lk/Vk2QIYiqKCY10w6V12PzXwUQSmUa8gXK/jQF57A73/sYRw+vrUBvCyGmpUnbiacKk7CwpInLxQUhHQp7pax/UgoWsYC7S95evr0xg777tE+7B5VZ0rEOvVCqQarxabd8iA9h2WdAVazI94sW3J+dkO0nLq4ol0XZTiczj8BAEN9GWTSG7doOdDsbXG6t0wrczQi/b4WMhTymiAeisE+fcmTykMRJEMh+m9UMygcdBkKFc06PQWlWK7ioSPTeOz4HC7O5/Hpr5uxPG9cbNVwSxXcbSZh4TXjhYKCkC7lkqtlrDqIB4ILiig3yHyxipMXNoJsXXYC8O4Ct7rDI5c7Oeh2PnWPhzmOxdWS1qMRJUPxjOSfuP7KkfU/JxIJ1267/GvjFhSb3TpW66FQCI22lzwpBYX661HU7eK1o5pB4aDzVqiIK0NRLNdcz7WwUvI1fG82W23MFmHJEwkLjfxeKCgI6UJKlZqrnl9nyAZCeCgifME/c3bR1WnqpgNj2rVynXqrAcXTGkGhM3uqDNnAhpCaWy7gu49f8PVJlKuWdmc1iinbdM2fGPAYh2VjtkhvNt4xQpvtoyhVasoyK2WGYj54yZPelK0XFAPKkif158bVrUwQFHK5027hM1kXFMEycnEJilK55mk1vBXmex1RMnrtgiVPJCzMUHihoCCkC5lZdJdQ6FrGAu31UIjzJxIJ4OBVekEhd9JpJUOxsFJ0eUhEdL36dcFUvlhFsVzFn/zDo/iHf38Gf/SJRzxdhUR0gqNUrqFaC26alf0TYrmTw9hQr+cxhzAZikSA9VvT6cl7DSgFxWLelRmSxeFg38a1NTyQVbZ87e/JKCfJ13+m6PKkyVCIzQUKPoLi5mt2rf+5XLW0glbGz5QdFvk67ihBwQwFiYht23jgiYv48vdOb9nEanoovFBQENKFyMG0bko2oBcUcmgVZR7D08L8iWsuG/YdECaXlbRSQ60rdwL0rTV1JU+FUhVnLq2uH89aoYJnNbMPAGDRp9tSmIBN9k+IhmyH8WF9hqIv5HTnZuu3oqZ9reB9T1TnsFSuubwFoqF7oDeNVHLjqyydSmJI0aAgkQAGNVkKVcmT7nOjm6ci+yRuuXaX6++yqV5HXB4KwNvpaSsmouvoJA8FMxTdxQNPXMQnvnIU//qdk/jEV45uyTEwQ+GFgoKQLsTTMtbPQ6HZmU4mE0inNm4BYW+Qc0sFlzFcNR1bRA5oWxkoJwqKTDqJiZGNnfywJU/5UtVjEPcrO1nw2UEOIyi8/gmVoIgnQxFk/VbsXqs6Pa0V1N24Ls3nNtYI4nBQMV9iLKSPIp1Kero66TIU/ZpuZaJPYqAvg6v3jbj+XdBJ53GVPAHez/RaBwXx9FCQqJwUmmMcn1ryWdk+KCi8UFAQ0oWIJtXBvoyyBtzBr+Spr2fjZ2FTx2K5EwDcqJk/4SAfY9SSB9u2XYLiuitGXIH3qq7LkyZgLlcs17RtwD+oW/TZaQ6zA9zMPwE081CEFRRNMhRbICjKFW+JWM2ylTMUxGteFIcqkaD1UfQF91Ho2sYGKXnaM9bvmzX0o1iuxTaUTj6PQURjtWbh4nwu1MyLKHRShoLBYfdSbvN1qiNfrPoOUd2JUFAQ0oW4Wsb6ZCcAoMenn74YlIb9Uj0ilDv1ZlO4Zt+w73q5rCRqDer0YsHlYzh41RiGhaByWZOJ8Ot7Lx+LX9mJn2k76C5/EP8E0CxDEbbkqfMyFDpUnZ4uioJCOFaVSBjVCDFVNsNB9lHo2sbqS542BMXu8T4M9GUid+KKr3VsOEFh2zb+x2cO4/c/9n386aceDeUJinJs7Xz+MHTaEEASnIpiU0LEsm3c++g5fOSup3Digr6UNSw1y2676O42KCgI2SIuzufw8Xuexj0PnQ79xSp6KPb6GLIB/y5PfVl1cNQMy3JnCW7YP+Yqn1LRm025W25G3KE8KmVGDl417qqZ12UodIPUAK+gWPbLUMTgoQjinwD8PRS6YDWdUhuP+5plKDpox7jZLApRHKoyO3G0jtWasnu9GQp5BsXu8fpcGLEULwzxtY51v6fNslAX5vMwz9VLSKZmc3jmrN6rFAdRNxWW1kqxZXEAZii6Gcu2fb8/nz69gM988zgeOTqDv/3XJ1uefyTC68ZNvH0HCSGB+chdR3Bupj40bXy4Fy++aW+gf5cvVlwlH81KK/xKnsSgNF8KvkN9ZnrVFYA2808A9bkK/T3p9X8XWVAIQqavJ42r9g7iqZMbQWW+VEWlankCQvGc9fekXcGM/MWwpBElQDweiiD+CaB+nD2ZFEqK+QG9GpP1QF8Gy4od7ma75Z1k2FUFmk7rWMu2Xec5rpInT4YigCm7WK4PaFzNu2dQOF3XJkb6MDWb8zxHM+KcRSHS7PqU51Ss5tp7TeSLVQz7ZI1U/NuDp/Cl757C8EAW73nL8yOXlolwpkB3U65Y2g2ti3MbGxFLa2Ws5ssY0Ww4hIWdntwwQ0HIFnFhbiPQOHleP4FZZlpuGduKoNDUgzfjqVPuLEEQQQG469SjeCgs23YF48aVo0glvV195PIm27ZdgmL3mLtMTBY3fq07/UqegvbWD+KfALzD7UR0AmFQEzTrBIhDlDkatZq1aeba+eUiKtVao3Z543FlyZM2Q+E3LVvyUOhM2XJzgXJVO4NiV8QMhUoQRkHexQ9b1tbu1q5hRaxt2/jq988CqDdf+N5Tl2I5jjizHWTzUc2z0VGMcbgjhagbCgpCOoClXPAdSXlq8J4xfw+F3860K0MRImMgtovdNdzT9Bgc+jQdcoIyNbPmCooONgbpybuccuvYUsVdry0LCllMLefKWsNdsVzTfpEECdiC+iccdGVPuvdVZ9Bv5qEIG9xNza7hrX/0VfzSH30VDx2JJ7Dzw0ZdTPsNtXPQibAwJU+6DIXcrSxf9AoKR+Tv8vHA+BFbhqLUWttY5zNarVk4fHwOF+fDZ1v8CFtmVzesb7ymuM4TS1e6mzDGbL8ZQ2HhdeOGgoKQDiDMF6NnBkUTD4UuMAL0HWv8KJarrjkNNx4YR0IzMExGHG4Xae7FaXdN942NQXrDA+5AcUUq1ZBbxsrnTBY3larlK3h0PoogguL41HIg/4TDuGa4nc6Urc1QNPFQrBXCdS3512+fxFqhgnLVwpe/dzrwv2uFS/N5z3upLnkKn6GQBy+mkgnlIDxZeBRKVc8Misn1kqeogiKeDIX8bjrXZ82ycN9j53HfoSnf+nNnk+Ejdx3BX3/hCfy3jz+CM4IYbpWw2S15oyCuRgLFco0de7oYuVTPjzgN+BQUbuihIKQDCFPiIJY8jQ31+JqugXqP/VQy4WmNCkQzZZtnl1zPFbTcCXCXi0QxAYv+ieGBLPZNDKz/WUTexZaDUE+GQnEsS2tl7W6/ruwpSNmQKRlddf4Jh7AZCnFqtEhfk+ukWrNQrlqBJqsXy1VX2dv0QgE1y3INmGsHlxbykGN81bC6wf6M8pr3zVAoSsKymaQnAFFlKMQZFP096XVRNzEaTVAsxjiLQsQJwL/03VO456EzAOqeoJ97xbXK9U5rzMPH5wDUO9v88NgMrto7FMvxhL0HyJ4Ov0YLYXA69vhtvpDOJVSGIsaSJ3oo3DBDQUgHsLSmL7GRETMUQUuNdMGn+Hi5UkMtQLcpcf5EAs3nT4iIdephb8bVmoVj5zb8EwevGlvPjHhKnnLyTqb775OjkodCcSx+nZ50xuwgJSWiB8TPP+Ggax2rm3w9ENFDAQQviXnq5IJrZ9uy7cCToFvh0kLeE0QO9XnPXzKRwIjCmO1rylaIR5WPQtX+WCx5ErMScZU8BRF5QcgX60McTwgZxqelrmmu9Y3PhTiUL85J3mE9GvJGQZyNBApsHdu1hGnf2qzkaXG1hA994Qn8j8885vI5qmCGwg0FBSEdQLXmX2LjYNu2a0p20A4nup03OcgMcoMU509ctXdIW2KjwjVluFgJVWZw6uKKa3fp4FUb3oPebMrV1UkujZAzFCOD2aYzOHyH2+kyFE0CnEKp6ioZaeafAPTD7cKaspu1jQWCl5AcOjbreWx2qaBYGS+XFoKVPAHqsied2AK8QgFQf248pmxJUIhG7MG+TCQxIAtiuaTPQVWS5YeNukgQP3bLPh3NVCVJcRnG688fLiBr9rluhSKDw64lTMlTs6noX3n4DB47Pocjpxfx+ftP+D8XrxkXFBSEdAhBdv5W8hWXIbiZf8IhSIYCaJ41WFgp4uL8hqAJU+4EuOvUq7Vwg4GOSv4JUVAkEgnXcDs5IPMEoX0Zt7hRZijCD7fLNfEhHJ9adu32NvNPAMCYZpdbKyg0ZVpBhqwF2fGt1iw8fmLe8/imCIr5vGuXuieT0opllaBIp5Ier4SD6nHVLAo5M5QrVl0zKCZGNrJfUWdRyJeQXNK3cSzhxYosGpd9sqOqgN8vcxeWsBmGFelznCtWYpsr0CzQJJ1LnKZssXyxWRMCljy5oaAgpEMIYsz2GLKbTMl2CNqxpplR+ohUHhGm3Anw7u6GqaEW/RMTI72esiWxdEgOPFaFkqdUMoG+nrTrtasCJ786dt1OvmXbvrtWYf0TgD5DkU4llUPstBkKRcmT7L8J8n48c2ZR+Rpnl/QD/+IiX6q6yhD8PBFjGmO2blq2suRJ8bmRz+P0Qt4ljGUBEbV1rIhuVoOu7M0P+dqtWbb2fVcFTH4zWsIS3kMht4OOL6iTO2K1wskLK3jPRx/G73/sYZydjs/EvhmcnV7F5+571jNAtJMph2gbG8ZD0ez6ZIbCDQUFIR1CkJ0/WVDsDVjypCu78GQomtxAxS5L2UwSz7l8JNDvd5CDtqDBQKlSw4kLG3XfYnbCQdzF9ctQDPZn1ofsOag6f0Qt7fArGxL9E5cH8E8AaIgf3fvnDSj1Hgrvc8jZjCAlT6pyJwCeTkft4oQws8Wv3G50SDPcTiNClKZsRYYilUy4Pk9nZ9wBYxBBkUqGK1XSZSiade5SoXqPdfce1f1gNV+OLSsQ2kOhOHbZVxGVODMUdz1wCtMLeVycz+MrD5+J7XnbTblSw/995yF89ftn8YHPHMbcJmQd46BSCZ6hCNPlyWlKoINzKNxQUBDSIQQJYMUOT4mE11ysQ1fuItfV++24WLbtMnAaV44pS0L88BhaAwYUz04to1rbuLE78ydEhl0ZCsmULQgKx5jbbHc3amnHmma4neyfuOHK5v4JB33rWO/7mkollI+rxYecMfJ/PyzbxmONjj8yQUuewoXSXtEg7jD6CTJt61iNCBkdyrombF8xOaCfli1cx1Mz7rIIWUCoSp78vBwq9BmK8CVPqjIjXdahIPktgHpWQP58RSW0h0JxnEGHSTYjzgzF1Oza+p/FcrhO59JCfj3gtgFXe/BOpl1zKCzb9hUgmzXUs1ugoCCkQwjioRAzFBMjvUingn2E9aZs2UOhv0Gem15z7fSH9U8A3l3goAHF02fc6feDV3l/t7iLu5avuLwKYsmTE4SqTLgiUbvZ6Hb5Zf+EEcA/4TCmbR2r8wN4A1ZV29hsOuW6hpplKE6eX3GZeEVB6ZQ8TS/m8dlvHcfDRy4pd/fCBtMTI73aHX2/kqewsyhSySTe/fO34uW37sN/+qkbcP2Vo9pp2aIYlUsoZAEheiocdD4OHb3ZlPJY4ih5AoAVzbVuQ71zH5cxu9UuT4D7s90KcWUoKtWay2PVzbvYcbXlbTdhSp7CTsr2+47q5ve2HcQyh8IwjF0A/gjA6wDsA3AKwD8A+KBpmlVp7S8D+C8ArgewCOBzAP6baZprkDAM43UA/gDAzQAKAO4G8B7TNGcUa18M4E8B3I76ffCbAH7PNM2TirU3Ang/gJcA6AHwEID3mqZ5KMrrJyQOAnkoxA5PAQ3ZANAbsOTJz0Mht5e8SZElaIY3QxHsS1w0ZF8+MYARRQmIaMquWTbyxer67rYohJwgVFXiIrKUK0UadqUzmnr8EyEEhTZDodmhHuzLeHZGM2nFPJJEfW6FI56a7fbK5U4/dseV+FqjpGOtUEG+WMUHP/s4ZhrZipGBLA5KPpuB3nSogWSpVAKTo32eCfGAv6C4cs8g0qnEembLmVni92/27xnC237qhvW/azMUmmunvyftKetTZSjCdEYDACTqglmeyB2XoFjK6e89SmN2rgSg9VkUoT0Uiq5OazF1eoqrHl72EnVznb14bi3bxlqhgsHeDJIhS/baTbtKnoC66NX5oLr5vW0HLWcoDMMYAvAAgN8EcATA3wBYBvAXAL5oGEZCWPseAJ9q/N4PAXgcdXFxr2EYWel53wzgywB2A/gwgG8BeBuA7xmGMSqtfTmA+1EXHp8E8CUAPwvgEcMwDkhrDwJ4EMCrAHwewKcBvBjAg4ZhvKCFU0FISzQrsbFs21XyFLRlLKD3UHiGdPncIEVD9ujgxlC5METxUOSKFZwRjI0q/wTgrTMXyyPEL8bBgCVP5YoVaQdKFyzL/gldGYuKOIbbJRLqUigxY+AX6Nt2faiZw5W7B/Hc50y41pybWV0XEwBcw+8ckslE6B16nVfILzAf7s/i1/+XW/DCg7vxztfftF4e6DeLQkZX0qe7dlTiQTWLoieTisVH0WxYoQqV4PXLOKgERVyzKCpVC5WAu8uWbasFRYzTsuNALv3r5qDTObe2beOvP/8E3v3XD+Av/ulQbB6auCiFMWWHfJ/9Nr3Y5clNHBmK9wC4AcC7TNP8a+dBwzD+CcCbAfw0gHsMw9gP4H2oZwNeYZpmpbHufQD+EMA7UBcjMAxjsPHnkwBuM01zpfH4vQA+jnrW4rcbjyUAfBRAHsAdpmlONR6/E8DXAXwAwBuF4/0rAIMAXmCa5uHG2g8D+D6AvwNAUUG2hGbdUxZXSq5uMkEN2QCQzaoDI0+GQnODLFdqOHZuo572pgPj60PlwuDt8hRksvSSq45bJyiGFIJi38SAZ8ZH0JInwNmJDYcqwGnFPwH4eShCDrfLpj27wqIx2+/9mJrNuXZfn3/9JPbucotKeXf2vGYw1GBfxnMc6VTSNSxPZO+ufuBZ7+PNTO23PmcCt0qiJ4gR3kFX8qS7dlQ7mUP9GWTTSXedd6J+DvxmQMioBGiQYYUySlN26FkUMbaOLVYxOthcGOWLVVfJoENcZTlxBf4zkqAolmuwLLvjdvWD4JSYXZjP44lGq+hjU8s4PrUUaIbOZhEmQ1FqlLZVaxa+/oNzyBer+IkX7tduTvhl0Qqlar0ehgCIx0NxAMA51INxkc80/v/ixv/fibqAeb8jJhq8H8AKgLcLj70ZwDjqJVPrLT1M0/wEABPA2wzDcO5ArwFgAPi4IyYaa7+JuqB4Q6MkC4ZhXAfgtQDucsREY+1TqGcq7jAM43mhXj0hMeHXDx5wlzsBwadkA/qSp1Qy6QqadLsxx6aWXMHejRH8E0B9xzfI7xMR28UmEnrvwYg8LbvxZSgHUEEzFEC0ndg1RQDWin8C0GcodDvU+tax0TMUcrnT86+f9GTJ5N3Z87N6QSHjV4qkE89+/0aH59/4COOg7ZYdVH6JRCKhFBoq0ec3K0Q13C6ukic/gdD21rEBBYGum1N8JU/tyVAA8WU/NhvnWilK/hK/ltpbQRhTtuOh+NojZ/Ev953APQ+dwafvNbXr/YzXNctGRbMJshNpWVCYpvmLpmnul70SqGctAGC68f+XN/7/benfF1HPWtxqGMaItPY+xa+8H8Au1Mubmq29D0AKwMsCrgWAVyh+RkjbKVVqvl883hkUrZc8AWg6MRpwT8cGws+fEHFPyw4nKA7sHVbOCwDUGQrAG3AE9VAAwXwtMqoAqRX/BACMaadlq1+DTlCodrTF8ii/3ThRUEyO9uKKyQEMD2RdQe2s1Dp2fqWovKZUx+dXBqUXFMGzDQ7X7BteF7XpVBL79wxq12ozFCFKnuqPe4XGoOL16ozkQHwlT6ouZP4ZCu96nYk7CkF9FKoOT0CcJU8xeSgWvYKiW8uedNmfsN252k3Qsjlgo+Tp3MyGbffkhRXd8qZlTd363raDWEzZDo3yo0nUS4z+BMBZ1Hf+AeBaANOmaaqmvJxu/P96AI821gL1kie/tY8La1Uz0sW1zjEEXUvIprO0VtLuOor+iXQqoazN1iEPMBPp7UmvD4LT7cYcObUREF+5e1Bpig5Kf29mfee/2c16aa3kGmSmK3cC6rXxCWxkoJ3XJO9srpc8BRAUQbvZiCUtqgCnFf8EAIyHnJatL3lSZCjEkqdCBbZte8rZZpcKri/g518/iUQigUQigb27+nGq8YWs2p29oCh7GlRkFpLJ+mwQ1TWxd1d8GYr+3gze+0u344fmLJ533YSyI5ZDkLaxIjpBETRDMTqYVZrPAXXJU5QMRa5Y8Yg3v+tcFfD7mbjDEjQ4VfkngPgERWym7GVvm9huDTp12Z+wZvp2U27RlO33/jR7rfRRbBCroEDdI/EHjT9PA/hx0zSdSGQX6t2fVDjF2SPC2pJpmqrG5qq1ALAU89pITE623vkiTjrteDqJrT43qkqLRDqtPa4F4Uv/sokB7NkzHPh3Tezy7sImEvVzMDSQxUxDrOSLVc/vX1wpuvqq33Hj3pbO3chgz3qQWanZvs915Jy7D/qLb93nu354MLseHFWs+nM/M+Xefdp/+SgmJ4ewL0CpRDmg+VDswFOsWK5jzEum8tuu3x3p/A31Z1xB1cTEICYUO/djo/3YV5WOu/Fej0pejEw6hT0TG9dGzbIxONznyQI9+PS06+8/9sKr1l/D3l0D64JifsUbaK6UaugRAt90OondiusxnU5hZLDH8wWdSadwzf5xDPZlPMHjgSvHw3dMQv1c3H7zvqbrxhRzXiYnh7B7l7ohwXVX73K9t86fr9o3Ajx2fv3xbDat3BDYOzHoEp8OgwM9mFR0ddsT4TrKFSrI7Haf/3ypiuHRfowpgqeEojX1asF7n2hGUpNNS2ZSgZ7LOqaef1Iohz+WQUUmqGr534uCYFm2chhcT3828HNv1vfShdk1fPhfn0AymcCv/sfnYu+uAaxJgflaoYKJiUEsSPdKO5HY9O9P8ff1ypsASf3xyO91uVrD5OQQeno2nqNQqmJiYhCJRMJ1rwI2XqvOAyPOR0omNj+u2Oo4RiTuORRnUDdBfxH1TMV3DcN4fuNnGQC6bQ3n8d6Ia8XH41pLyKaz4DME6YIQ1O+b0JdpqPCrzRZ3OVU7NYePu2vnb7t+MtTvlhF3ZpvVTz8h/O50KomDV+/yWV0XKw5LjV7wK9JuqpNdCTIPYUGx26hCLLeSMyJHTy+4uqLcLJmEgzKhCG51O9Ry+ZeDqlxsUNr5Vu0EP/TkxfU/jw314AZhDohYere06r21nrnkLSfQTX7WPZ5IJHC5FASnU+G7RYWlJxPO9K4K+gF1i2f5vAP6TBSgLocK0lhAply1lJ1uVO8doBmEt1KM1FJZRdAMw4qm/FBXChWWOMp4FleLynr+TisRAoB//PejOHxsFoeemcE/azwENctW7tAH9b1sFmEzFHKXKsvWZymaeXQ6LVuzlcR6NzZN8++dPzdmSNwN4H8ahnEL6nMkdHl+507p5MbDroVmfStrIzE7q6ro2nwc1dopx9NJdMq5UX0fn7u4jNlZb5KsWrNcHoqxgWyo4y8phj/Zdv0cpIVUSaFY9Tzvw09cWP9zOpXE7qFwv1smI2xjrORK2ueybRuHntloU/qcy4exsqQuB3EYEALsuaU8ZmdXcWHG/fzFfAmzpQqKAco2pudzGAxQ3iWa3lfWyq7X9P0nL7jW7h3piXT+hqUgdm5uDVVF3ffiUh4JeR51472G5f7irVRrsKX643Pnl5CsbTy2nCvjqOChufXaXZifr4vbyckhT6cnmRNnF9EnCJlq1ULC8gYA1WpN6SuoVGuYnV3FxFAPxLBnoC+DuTnP+KJYKRW9n5vZ2VVUFMFHf08ahbUiCmtFzz0mk3R/2MvlKpK29xxkU+pd0LVcCVbF+ztVn+sgLK16hfLJswvKVrbzis9cuWrh7NSi1s+kYlEjWKZn1wJ9Hi5q3uu1fAXT0yuhuiitKcTJWqHS8nfCsXOq4gfg4swKZif8PW+b/b10YmrjWE9fWMbs7CoWFrzhz+lzCx7RN79U2LTjVJ2XolSau5Yva49Hfq9tG7hwcRklaYjrufNLGB/uRUn6bC8s11+rrlXumrCBZNmb9/6J56VTshRtm5RtmuY9qA+Xuwl178Ii9OVEzuNOfcMigF7DMFQONdVa8fG41hISG9WaFcj0pzMBzy8XXQPJ9owH7/AERDdl27btmj9hXDmirSsPSr+Qavbb3ZldLrqGs/n5JxzEmnpn51I0Fvb3pNcnQwfZ3Q1qyhZ3rEuVmqu9r9mif8JBtXutN2WrH1dlquS1cvBw+PisqzPi86UMlc7f4DCl8FDoZkH4lS/Jv2eoL7qPJyjZdHAPhc4/AQATivdO56HQoTRlR/BQABpjtsZHofuMxjWLIrCHQpOJsBF+4raKYgy18CoPUf25O6/Lk/j++d2HVTv0fp2PtoIwpmxAPS1b54Vo9lrpodigJUFhGEbaMIzXGIbxWs2SM43/TwA4BmCPYRiqSOhqABaA442/H2v8/4BmLYD1zapj0uNxrSUkFqYX8vi9jzyE3/jgd/GtQ1O+a3Vf6t6WscE7PAHNTdkOeWnX5vxcznVMUdvFiojBWLGk7i0P1EuFRA5e1fx3i0GXY8peU0zJBuq1+WnNjrBD0PaYciDsBOWFUhWnL0afPyEit45NagbVqY7HQRWAyoGtHJwdEmrX+3rSuEESds0yFMtrZU+JhK5kyFdQSH6RKIbssGQzwQfb6abpAvXrUh6SN6jY3c9mUlqRMNCb9mQQogoKVXmHXBrooAuY4ppFApuQYAAAIABJREFUkSsFC051pmwgHmN2uWpp56AEZUbR4QnoPFN2uVJzHZNfCZOq01OnlfmEaRsLbMyiENG9R81ea9hBeduZODIUdwO4U5gLIXIr6hsIp1Cfpp0E8KPiAsMwegG8CMARoQPUA43/q1q4vhL1LMLRgGstAI8EXAvUW9gSEhsPHbmExdUSLNvG3Q+e9l2r2xG/tOD+ogrTMhYIkaGQbp5PS+1ib2qhXayDKChs6G/kYrvYnmwKBy5rntYVd/9L5RpKlZrL0yB3F2rW6alUdn/x6gJMeZff+YJ+9nxr8ydEbjd2rwelN189jp5sCr2KuRJAPdBMKlz/SkEhBbZicFEoVXH0jLvcKS2ZdHeP9ckFVh7kTk86MdBxgiJE21hVa1iHRMLdlS2BhFZU6bIUiUTCk6XoySSV597v865Dl3GQ7wkOYYby+ZFTZEtUrAifY3mDxE9shKHVeRFy22SHTtvFljdK8sWq1hPTHRmKcIIiTKenTnutnUxLgqIxe+JfUTdg/474M8MwfhXAHQDuMU1zGsCdAGoA/lgqZXovgGHUp107fAnAKoDfNQxjPYIxDONXUG/r+vemaTpX0LdRb0/7TsMwDghrX436ELsvmqY52zjekwAeBPBzhmHcIay9GcBbAfzANM1D0c4GIWrEL5PlXNk3Pav7khYzFD2ZlG9phAq/AEPsZS/v0j0lZAmG+zO4Ync4M7gKuVxEVfJg2zaeEQSFceWoJ5BVIQdcq7mya/dSLpMJssO7KHQuGtNMrJZ3m53f+Yw8f+LK6IJi73g//uztP4J3vfG5+M2fuwWAvuQpkUhgQFH2FLbk6YkT864uJnK5E1DP9Ixq5mQ4yNe1Tjj4CYrdY/2uzmibUvKkaxurFBT+/TxEMX71ZUPa1+o7i0Iql0skEkpRqROafujuPbpyovhKnsJnKC6TxGVssyhaDPxVMyjqz9tZu9hydsmyba2YWlX4dDouQ6EoYfJD9Vp1pXc5H7FF3MRhyv5d1AfG/blhGK8C8ASA2wC8GvXMxDsBwDRN0zCMDwD4PQCPGYZxN+r+itehHuR/zHlC0zQXDMP4XQAfBnDYMIzPAbgcwC+gXrb0fmFtzTCMXwNwF4AfGIZxJ4BBAG8BMAdJ6AB4F4DvALjfMIxPoy5y3gogAeDXYzgfhPiymq9gfFj9ha/LUIiG7D1jfZ45Ac3wLXmSgtJiuYbBviQqVQvHhPr/Gw+MK3e9wyJ6KAD1jfz8bG69ZAkI5p8AvAHXcr7sCkTkXe0gPooFwcDal02hJ5vypLnl3WYnwHH5JyYGtF2MgjI52odJoduT32Czwb6MZ+dWJUAy6RSymeR6pxQxWBCH2aVTSdx8jTpDNTnapzXdqhjodc8MEY9ZRyadxB3GbjzaMOrfbrTWbSwIugxFNpNEKplw+ZqaCYo3vupaTIz2Ip1K4pW37dOWN/oJiiHNtGx5ynNvNo1lhAv4dSVM2pKnmGZRBAlOa5blEg37JgZw+tJGKWFssyhazVBoPBQdl6FQXHu6sidVhqJYrqFmWUgl22bDDUXokieFANFlKGqWHaqL1E4mjknZ5wG8AHVBcAuAdwO4DsD/C+AFpmmKLU7eA+A3UP8eeRfq064/COB1pmmWpOf9CIA3AZhFPdB/OYBPAXilaZoL0tp7APwk6mVQbwfwM6iXYr3UNM1T0tofol529QDqouPNqJc5vdw0zUdASJvxKxUolGrKm51LUIQsdwLqgZFOCsi7mc4u3bPnl1036lamY4t4MxTeLyyx3AkIISgU07LFYCNsyRPgrpFNJIBxxW68x0NRrHj8E62UO+nQZSgAtU+hT7NzLR6/c74q1RqeODm//vjNV49rf9/kaLhu28mkuuSnWRnT237qBvxvrzuI9/7S7W05nzIZTYYikUh4slt+HgqgniX8iRfux6tvvwKpZFKfoRjSi84R1XA7xXvi1yZah+6+pAumYit5CpChkE3k+ybcvh25VXNUWvE6FEpV1yZI2OddyXm9Ru1CtXGlE3bdMC27UrW0XjwVKt+Dn+jrNEHYqcTSNtY0zUsA3hFgnQ3gbxv/BXnezwL4bMC13wDwjYBrD6EuQAjZdJr1TV9eK2G3YLouV2pYEMpuwnZ4AuoBUFaxsw54AxJnl+6I7J+IwZANwDM7QPVFJgqKwb7gpVbDUkA6vVBw7SJHKXmSGRvqwcV5t0leDg5zhYrHP3HD/uiGbB3ZTBKJhLoFscr0qwo+gXrGwLnGnKDmyOlF1/Vy2/X6+RmTihkZzVANqms2G6SvJ42X3nJZ6N8VlR5NhgKoi1Hx+JtlKGSymZRrwrqDb8mTIsOlKm/yy1zpCCsQgk6Rb4ZTv++XdZU7PE2M1DM9Tnmmnw9jrVDBtw+fR39vBj/63Mt8SyeDdOLToctOBHneB5+8iH/492fQk0nhXW98bkulkUFQvXe5YkUpcnVzGPLFKoYidqxrB5WqFdg7pCx58p2WTR9FEDojX0XIDqKZoJDT0TNLBVdpSNgOTw66m60nQ9H48hPbxe6bGMBYkzr5oMhZAflGXrMsmOc2BMUNV40FLrWSB7o1MwNHGQymOg/ZTMrVxWetUInVP6EjEbLTU5C1a40vT7HcKZEAnuczkC+SoFBkI3TtZLeKjKZtLAD0CddOf0861EwGB5WAGvMRFKIxvb8njUwqqRTFfpkrHSu5slKY6gjaUrkZNctWZmVFVqQMxFB/1vVZVtX5O3zuW8/iC98+iX/8molvHTqvXQe0ZsqeXXLP9hA/U812uL91aAqWZaNQquL+w/7HGAeq8jZdhkJXTtZpPoowxmx1yZP+ve+kbEwnQ0FByCYjfznKyF/U0y12eHLo0bXAlDMUpXpnpLNCjXIc3Z0c5MBLvlmfvrTqurnfGLDcCaiLJtEvcl4ahiULimgZCo0xWyobits/oUMXPCpN2T4tSR1yhSpqloXDxzfaxRpXjvruRkYRFCrxEGR6+Wai6+oFwDWEL2x2wkHusAX4ZyhecHA3nvecCYwP9+BNr74OyWRCXfIUwZRds+xQXoS4MhRA805PshdouD/j/rz5dHl64sTGdfyYIJJVtFLyJGcortqzkVVt9ryikFlY9g4djBtVO2zdLryunKzTuh+FMWarMkZ+r4cZimDEOimbENKclZz/zUn+opZnUMjtM4PSkwk27KxYruLomUVXVuSmq+Mr1+ntSbkMufLsi6OnJf/EgXC/e7g/g9nGF/SFOfe5k4PiIB4KGZWHAqgHh44xeX652Hb/hIMu63D9FaP42iPnAABX7R3yXTsgiaFnp5ZdweVtiu5OIlEEhUo8pFNJ9PWkfHcLN5N0KolkIqGsz36+sRtHGtfqC2/cE+n5VQMI/Tq49WbT+D/e+FzXYypfTJQMBRDOaJ0vVVGp1nyzOEHJFSu+HhRPhmIgq/T9yBTLbl/D+bmcb8eeVq47UVD0ZlONz8Ri6OcNOvumFZQZCp0pextmKNRtY5mhaBUKCkI2maYZCulL/ZJgyB7oTft2wvGjJxtsSFexXMOJ8xsD41PJBIwWBrLJJBMJ9Pem17+Q5C8m0T8xPtyD3SGD1eGB7Hr5gZzals+dLkOhqu930JV+icHh8an2+yccdMHj866bwK/89EFcnM/h1bdfAaAeIGfSSc+Xr3hecsUKfmi6d3Kff52/oBjuz7g6RQVBV9400JvpGEEBAJlMUuk9etVtl2Pfrn7ULDtw0wAZlaga8clQqFC9/1E8FED4rMPyWhkTEcSkTLPgVNwlT6DuD3KXPKk/q3IZ0lqhojVOA615KGYEQbF7tM91bymUmvtEHOIyu/uh7PLk0zbVsrwirNMyFM3K5lxrlR4KvwwFBUUQKCgI2WSam7IlD0WLHZ4cenUeCin4KJSqLv/EdVeM+LadjUJfz4agEAdnVao1PCuImYNXjYVukSu3jhUJ6qEYHcxGEBQbz12TvoDbabLUZR0SiQRe9lyvgbkvm/IICrH0xraBh5+eXv/7gb1DTTsYJRIJTI724fxsznediMpDAdTfo7lNKPsISk9aLSgAwGhRKKpKnjLppK+glVFl2aJ0eQLCB7NLObWgsG0bR04vYKgvu54d86NZcCqWPA32ZzxdwnS76yqj9IXZNcXKOnFlKCYlQVGzbFSqlnauiUipXEOxXI2cZWpGtWYpry3fkh9FSVqnBdmhMhShPRSdJZ46FXooCNlkgnR5ErkkDEuKasgG9EO65C+u05dWXV2l4moXKyIGUuIX07NTy64vhig7vzqvQjqV9BjTdRkKv13i8eHmHgqRdvongPDBo8pHIfstxIBDNcxOxaTPpGgVuvPVaT6KOEp6dOiH2wW/XlTvZ+SSp5BGa11G4/P3n8D/89nH8SeffBSPPzunXCPSLDgV75nOhsFQn/seUrO8AeWMYtDc1Jxe9BYiZihqloV5QQRPjvV57i1hZlw0+45oBd175udjUZneO60MKMwsCtUGgZ/PRb4+W5/GtD2hoCBkk2m2CyimowulquvLJUrLWAddliGZTLgCbTkAiKtdrIiYGRBTzUfPyvMnwv9unXl4qD/jyXboPBSjPgJgoDft6ui0/rgmOGz3vISwwaPKxKtqMesQVFBMKGZR+HUG00267rROT37G7FZRGecBf2O2jKq8KYopG4jQOlbjufihYH6+99FzTZ+nmelVNZzS26rZGxDOLnsFhV8WLeqk7MWVkisrWc9QeDO/QYlrCrnyuTXvmd97oDK9d5pROYwpW1Ue5SeQ5AxF1M/XdoeCgpBNJleoKHfTHMQuT3EZsgF9yRPg3uUWDWsDvWlctad5yUJYXIJCuJGLhuzLdvVHalU7ohEDqqFpulafoz6/N5FIKI9Lt9vcTv8EoB9WF2S9045XJ4b2jvd7hojpUBmzL5/U/1tdyVOnZSiy7cxQ6K6/MIJCIYp180aaEdZDoQt8a7WN4PrYuaWm3oRmu92i78zZMJCvH5WPYlaRoZBbSYtEnZQ9I5VWyR4KIJyg2JIMhc97oDq3nZahCFXypHgvSpWa9ntZPjdRugPuBCgoCNlkbPi3OcwVq+s3R0/L2DaUPAH6dqIHD4wjmYw/wStmBpwvpkKpilNCZ6QbIhpdddOWVTvfumBcJ0ocgkzLdmj3kKqwGYrnCQbrW66pZ4B0QXzQ7ASgFhRXTOgHEuoyETsrQ6F+rSMhSp7UcyiiiSDd7rWOlQDra5aNZ84s+a5pbsreuF9ulDy5z9GaotmFykMht5IWiZqhkH/P5GivJ/sZRlC005itK2vr+gxFNUTbWE02Q+ejkMUTBYUanhVCtgD5C0M2YS7nSpgY6cP0gjtDsXssesmTX5Ch+9nNbSh3AtQeCvPckqszUpj5EyI6U7aqFKq/J9oOsSpDoQoO2+2fAMIHj6+94wpc1uhOdOu1uwDoxVCrgmJ4IIsBoaOXiC6YjtrFrF1kfaZlt4reQxE8Q6Eqv9BtEDQjTJcuIHhpzpOn5n3N2TpTNVDfeRaDcV3J05pU8mRZttLcXyjV1ts7e34WQ4YimUhgfLjXE5yGExTxDA1UoXvP/ESd2sTdWRmKVj0UgH4Aofw4BYUaZigI8eHZ88v4yF1P4d5Hzyl70UdFbh0rmzCdm/4loeRpZCDb0o1MNykb0LeZvDHkDIigiFOGqzULlWrNVe6UQPQOOroAXjk5ujETQ7U25ZOZUQ23Uz3/9W32TwDhBUUikcAt1+zC854zse4pGVB0uxob6sGBy4KXu6mGuyUSdVGlor83DVUDr0GfLl1bQZDOPFG5cvfgegYkAWD/7npGJ4ygiLPLU1iClkg9eWLe9+d+XXTkwWpDjc+3V1C41y2sFD3d1hx0WYqog+3E9rTjwz31eSq9coYixCyKNnoodGKlVK5pz5fSlN3CEMB2EEYMazMU2ta57uszyvyinQAFBSEaLMvGh77wBB45OoPPfPM4njmz2PwfBUSukZW7CjlpabHkqZWWsUCTkidF2cye8X5MhOzcExT5hpwvVl3zJ/bvGYq8U60TFKpSqGQiodzNTST0zwNoMhSKoLzd/gkgekcfkXQq6QlCb7tuYt1jEYSeTEpZqnP5pLrsKZlIKN/jQU0r361CZcCPi76eNH7nzbfhNXdcgf/zTc9b7yA2OhSiy5NqUrZCUKSSCV+RHIWgJVJzy0XMSH4wEd/6fcWUbMDroZB30VXlTg46Y3bUORSiV8PJIrdS8tROD4WfWNFPy1aVPHWWoKiEKHkKnaGQXisFhRoKCkI0rBUrrhvp2Wl97W1Y5GnZclehpbUybNt2lTztbaHDE+C/a6nyEtzUpuwE4A2+Ly3kMSX0hw87HVukvzetDJx03Z/6NT4Kv11i2RyvGzhotNk/AYQ3ZeuQZyKEKXdyUJU9+Zm6lYJiB2UoAODafSP4xddcj5uE9sxjoUzZwSdlq0RvK6zmKsqhZyqePLmg/ZlfPb4nQ9G4PnoyKVc5mhz0ykZp8Y6g8ygUS7VImWh5BgWgnu8TlLDm+DD4PbeujEnloSiU1APvHGqWFTnjE4UwGYpSuQbV26w73krVcpm+e7PqzPZOh4KCkIDEeXOUS56GBrLSF14Ja4WKa8ekFUM24F/ypApAbmrD/AkHeaCc2GYSiDZ/wiGZSCg7COkyHn1aH4U+sD141Rhuu24CqWQCr779CowP92KgN+N6D/dtgn8C8GauxhXlWEEQz89AbzqSmVw1i+IKn05PKgP2TvJQ6BgZzLoaA/hNi+/JpDylY7rNgzg6aInvj2Xb2inVMk+edJc9iaLfrx7fc68UPtvi59ybodgoQ0okgKv3DTc9Rhv63Wsd8n3aea/SqaTr2gkz46K9HoqN55abT+i8LEG9BQ7LayX84d8/gl//4Hdw1wOnIh5pOMrVGj7570fx9v9+H/7ui0/6CkMb6jazfteh2P0wkUiwdawCCgpCAhKroJB2yFLJhCv4XFotezs8tVjy5DftWr45JhOJyF2WgiC3az0kCIpUMoHrr2htZ39Escut6/6km5btN9wumUzgN/7jLfjo77wSb3nt9euPiUPvDm5CuRMAXDE5iDe87Grs3zOIN/3YcyK12gXc8zJeestlSKfCfz1MKmZR+GUoxGvayQgNamYzbBXtzlCoSCWTeMfP3oibrh7HT7/oKtz6nAnt2kQi4WkTm0wmlN2plD6ikH4LOQj97b99EP/zq8/4tsIGgHMz7gzvgNQ6WhcAekqehN8vtt2VBYWYodg13Iv9AdtfF0MKCm+Hpw3xJ5ZThit5Cp75CYNl2S6BJn8210KWMem8Lz88NotLjez6Vx4+g2otnNk/CufncvjO4xdh2TZ+YM7i2all3/WqWRRh3iMas73wjBASkHYKCqC+K+mk4pdypfUbssOeFjo8Ac1M2e5bwTWXD7f1hinXoIqTua/dN+wrfoIwpMgM6EuedMPF/LML8pA8AHjDj16NT3/9GEYHe/AzL7kqwJHGw+tfdjVe/7KrW3qO//Cyq9fN6K+544pIz6EqeRrqz2J4IKu85n/6xVfh4kIe5UoNb/jR+vFn0in0ZFLKL/ytQPwcpFObV+hw8MA4DgbMEvb1pDy7xb3ZNMoVbzc5mZGBLIplvd/As34wi/PCLIeaZeP+wxcwOdaHn/qR4Nf8QF8GKw2xYKN+f5XL7gB3hiKVTLg+r/4ZCncZkq45gEyhVA0lyv0ERV9Pev26z4cwZVu2jbVCJfYM50q+7Cr12Tcx4PKu+ZnjVeh8FOJ3ZaVqYa1QCdVoIApy56655YJvllUlHMMLivZlkroRCgpCAtKsq8XCShF3fv0YapaNN7/mOt8SJVVwNTrYs+7TWF4ru4baJdBay1igWcmT+2c3t7HcCfCv5Y4jM6JqHasbpKYTTlG+AF96y2X4kRv3RNrd32r6etL4mZccaOk5VIICqHd6cq550ei9Z6wf733r7Z71g32ZjhEUt18/iX9/+AyK5RpecvNepZDcanoVwU1fNoUVyXusKnkaGshiZrGAoPvhIwPqz8W3fjiFH3/BlUglg137cmYwV1QLilXBbzYoTbsXBZJc5y8bpQMLipDGbD9BIfqzws64WM6VYxcUsn9CPieqaeN+BG0duxmCoiJ5KPxmPQGaadnMULQEzwghAWm2e3H3907jseNzAOrB+6++4WbtWrkuGHCXEiyvlVyG7PHhXmRanNjrt+svBxo3tmn+hIOuzAgAboxBzAwPuF9PAvqpxFEzFDq6UUzEhSwonODvdmNyfSc0SCvdwb4M5le8MwS2gn0TA3j/O16ExdUSDvjMUthK1MPtvI+pMhSpRAJD/RvZgmbohu7Nr5Rw+Pgcbjd2B3oeWTzkChVAIUjFe6W8USAOtxO9HLmi29cwOdqHfT5eHpFiiEwCAMwIwmWwL+O6t4nvQdgM93KuhCuhHwwZhSVpqN1lu9ybXmGH1QVd7zdnJC5KUpenZt4eVYYijKBgpycvPCOEBKTZ0CNxiJLYsUjFar7i6TIh1uyv5iu4MB9fhyfAP0Nx67W7MNSfxWq+DOPKUVxzWXMDYytk0ilk0klX5wygPpX4mgDmyWbIO3sDfRntxG+5X7yDbieW6BkdzOLA3iGcvrSKRGKjy9Urb7scw/1ZFEpVvPjmvU2fZ9dIL85M16emq3atN5vRwZ6277C2glyyCKi9ETrD+8hgT2BB0ZNJoTebUgZk3/jBVAhB4W0drcI9Jdt9/GLWsVCqolqzkE4lXUE+UDdKD/dnMRxAOIUN/N2lVW4PkRh0hp3b0I5OT3J3q/HhXvT1pNdfc9hWsEEzFKq2s3EjZyjk7mAyypKnEK+fGQovPCOEBCTMF02zwUSqAULijrgN4IJQp9yqIRsAehQmTYf+3gw+9t7X4OSFZYz3pbXBd5z096SxXHWfp+uvGI1lh9+zk6kpd3KOQ0XUDMVOJpFI4Lfe9Dw8cnQG+3cPrk9HTiYSuOOGYIEmAPz4C67EsXNLqFkWfvwFV7brcLcNqtaxqoBHKygGsjgX4veNDPaguOCdK2GeW8LZhhB02D3a52nhCngbM+hnIGzcI2QflPx6coUKRgZ7tGVIl08OYqXJPKFWSp7kDJ34HoQ1e+ta27aCnKEYHaxPst8QFO3JUKyFfN4oyJOym4kYVTevfKnqu/EmQkHhhWeEkICEERSFUhXlSi1Uhxi/HdBWW8YCzbvVDPRlcMu1E5idXfVdFxf9vWnPl2Yr8ydE5MBD1Z5UPA7dcyQTiVgnpO8EBnozeNVtl7f0HNdfOYoP/uZLkUgkQg3X26kEHW6ny/boyph0jA5kXSWZIt/84ZTr79dcPozVQsVz/5QzFLrd8ZUQgmKtiaCQTcgqwgT+1ZrlaighCwqxe15HZCiE5+zvSSOTTmGgN7OeXQ+acXAIun4zSp7kTlLNSp5U9/VCKEHBtrEyO7fYl5CQhK+BDfeF4PelHkeGIp1KbmqXmmaoAvlW5k+IyK0t/Yal6TIUyWTC48Ugm0cqmaSYCIjqGlaXPMVT3ud3r3r46WnXvTKVSCiHZMriRtVhqFSuuQaWyZ9H3bRsseRpoDe9fq+5PICPIox5em656DKzy/NCxPelVK6FagXbjlkUrhkUjfdwQLgmwgb+QUuk5A5cm0GUMit6KFqDgoKQgFRrNirV4LtXYQXFqM+X+p4YPBSAv49is5EDioHeNPbvjsf0Kpc4+ZU8+aWu/WZRENIpjAptTvt66lN8e8OUPIXMUPgJkErV8gRmN1+zy7Muk0m6yhtVwaluSvb636XX4wSRYoZC7I4XpNNTM6+ciOzV8Ct5AoBimOF2bchQiKW4TkZcvA/LZUPNCNpmdisExVoTD4UKzqFoDQoKQkJQCNEBJOwXgu5LPZVMYGIk2vRjmVbnO8TJ/8/efYdJclf3/n9X58lpZ7M2aENJ2pVWYZXRCiGRTA62wchYtgWy4WLMtQ0/YYKMbdm/ewnGJBMNvnAxGBswtu8lSeSMkEBClFBYCUmbw+Q8ff+o7pnq6m9Vd/XUTPd0f17Po2d2empqqmtG3XXqnPM9/js8Z23pi613o9s3eTxoBgWErzjVp4BCVoFLz17LpjUdWMCzrtjuTvKN0pQdcXnSqP1FewNWjat0d9zfQO2/MWAqeYLgvoaggMI70TpKhsJfWuVf2tt/0RnlDvhy9FB4sx4LGYqQ179Kqs1QRF2ONg5jk7MVhy36RSn5UkBRTmdEJIKJqVkSCYt/+PzdPHZsjF+/ZgdX7N1g3DZqyjqVTNDZli67m7Omt63qtd0raaQMhf9CPs7J3KlkggvtQX7sHCOZsLhwd/Ck4fAMhRqzpfH1dGb5i9+7hDz5hdcKU1+FaQ4FRJ+5Yvr/wvTaVdTfnWPTYAePHSsdjNGRSy/cePnmTw9xkT3IeTsW/1/1L6/tX2zBH1CMTMyE9jW059L0dWXLhqDlsimmCwtERMlQeAOKVNIqO49lGYooN6RCAop8Ps+pkSn6urJVz0XJ5/MlN7mKGfGgv4lqRJlDUQ+jEQOZufnqqxBU8lROGQqRCManZvnhvUf4+cFTDI1N889fvZ98QNNuLSlr052/9UscaOfVyAHFOTE1ZBfd9Ow9vPqF5/GW37+EbeuDl6INe2No5KVCRbwSCavkxoMpQ5FKJoyPR81QmEqerjx3fWiP1rmGsif/a8B7P3d3ycV+WcmT7zgz6SQZz+p1o+MzZX0N/jIkU5aizXNOopS9eAOKNT1tZRlWf+NulAxFcWEPv/n5PH/z8Tv40/d+h3f8y12B7z9+oxMzJasLLmYoag8oql7lqV4BRQ1lT9VONFeGopwCCpEIJqZmS9Lwo4bVS4pqaaoz1ezH0ZBd1EgBxd7tixcYZ27sZn2MzxPci6d9O9ewYSC8bloZCmlGQX/XprKnyD0Uhu272zNceva6wO8511f2ZBo2OT0zz533H1/43N9Ya1qtzfvY6MRMeRmSP6AwNGZ7+02ilDwdDVkyFsrng8Q85Ya2AAAgAElEQVSxsMfPD57k/seGALj7wZM8eGi4un35bnAVb5aElXxWyn00eoZiORuzlaEop4BCJAJTD0XQi2VNGQrDncJYA4oG6qHYtbmHP/71ffz6E3fwyuedW3XqPm7pVIJ0yvxSGNYoL9LITJkIMAcUuUzKeLMhaB9Bmbtr928OPJ5dZ/Syee3i5OeztvQZL2bv8gQUw54L6nTKnF3p9EzLHp2YKR9q58vwbqyUoaiy5Cmfz5c2f5sCCt9FZ9QZF6aA4tCJ0uV6H/eVkQU5PVY+gwLCMxRhwQa4AVI1y2qPTc7UZfntSkvHmlQb9ClDUU5nRCQC04vN6MQsaw3VOrU01ZkyFM1a8mRZFuftGOC8HeWlECutLZtiZrb899XbpQyFrE5RAgpwy578A+jacynjXIagRt5t67vZubmH+x8dKvtaKpnglpddzrfvepyNfTnW9bcbL2Z/fvAUU9NzZDPJsinZppsO3qVjRyemK/Y1bB7sxM97cVjtBeXw2HTJkraDhtfpsoAiQg8FmG9K+X9HhwLmgVTaV8/CKk/Bl4Gd7ZnQxus87vmqVDaVz1e3XdxqKnmqMuuigKKcMhQiEZgDioAMRU0BxTJnKBoooGgkQenrqOvzizQKf7lNUZSlY9uz5m0tywrcz3UXBWcp1vW38/xrdrJjUw9gvpidnZvn5wdPAqU9FEGzZLwlTyPjMxX7GjYaSiC9DezVDrY7dnqy5PPB3vKV+Pw9FFFLnoYNZbP+DMzhE9UFFP4p2cW+mbCm7LCBoEXNNovCPyAvSK6wPLMsUkAhEoHpDSFoGNDw2HTkNK//blomlShZY36pGqnkqZEEpfa7O9LEtJKtyIoKylAEXUCaGrPDSl6C+i4u3D1In+c1q687+PUraP93PeCWPXlXefKv8FTUEdJDYepryGaSZctwey/8J6Zmq2p0Pnq69ELeVPKUTSfxJlWK+652wN3pGDMU3n1l08mFO+yhGYoqAopGnkVRS0BRrYRllUxCFwUUIpGYGraCXijn5vORJ4/6V3la29cW67Tgbk95QNAFRysKSl8nEwkNt5NVyTTYDsIyFOV/56EroAWsDJVKJvjD5+5l82AHZ2/t44nnbwrcR1Bwc9f9J5jP58tKnky8d9Enp+c4ciq8rwHKy568///Pzeerukvtz1CsMfwsy7JKMkU/+sVRXvmOb/An7/k2D1XRTO3Pcs/P5znuCyiOn56o6niHDFOyIbyHImwgaFH1syjqEFBMxD/Lw0tlT6UUUIhEYJp0GnbnJfpwu9I39TjLnQAu3bOe/sIdw6dduiXWfa9mYRdOfd3xDBUUWUm19FD4hWUoukPKAXdu6uEtv38pf/biC+gP+f8n6O740Ng0Dx8eKSl58i8ZW9Tpu+id8Ux7NpUhQXljdi29Dt7So57OTGA5qXffR05NMDk9x9DYNF/8wSMVf8awL6A4OTxZsvQruAGQf2Urk9Nj3hkUi+cyk04ELvfrP7cmjbzS01IzFN5J7iYKKEopoBCJwLRGdWhAEbGPotc34TnupVTX9rZx68su4+9ffRXPuHxbrPtezcLeGLwXH0sZAiWyklLJhPGCyDud2svYQxESUPizqTNV1p6X7j/4/6fv3nOY2bnFi+egu+VhZTmmRmmACzyDLres6yx7LtWsxnRsKLy0qijotaWaIMC/9Li/3Kmomj6K0gzFYjBoWVZglqKrrfKiFNXPolj5adlLDSgqrXKlgKKUAgqRCKI0ZUN5I1wlmXSSy/a4a7mnkhZPOM88hXspMulkVbWxrSTsjeMF1+xiTU+O7vY0v3bp1hU8KpGlMS+zGpShiFby5M+m+u+mVyOsfv979xwp+TyohyKscTjoQn/Hxh5e++ILeNGTdvLff/P8sgb2aiZaH6uitArKG7OL/NO6Tfw9FP6G7KLDFfooyqZk+353Qa9/1fVQNG6GYnSJJU9hf5+gWRR+OhsiEUQNKPxvsplUgunZ8Dt5v//McziwbyPrBzoiT7CV2oTdadp5Ri//+KancuzYyAoekcjStWWTZa9PQReJ/rv0EJ5B8G9fy9ydsPp9/3F3VdGU7ReWOThrax9nbXXX+/YHXpVWY5qamSvJPteSoRgam2Z+Pl+2CpVXcWGPYh9dUIbCP5vCb2JqruR9x/+7CzqHbdkkyYRVVmblVW2Goi49FOMzLGX6RTrpziiaCXjPVoailDIUIhFEWeUJykuekslExbsaCcvC3tKnYGIF6U6TNKOcYelY/3TqItPrTdgdWv/2tSyTXamkxCuo5Cko0OjpCO5r8PM3sFcqeao0jdsr6LUln698zubm8yUZgGM1Zij8pVP+8ragvwmwKvZRTDRwhmJuPh9p8rlJ2N+oAopSCihEIjBmKELu0JhKnroVKDScKBc2IquFqeQp6G50V3sG/4JyYRdMcZQ8VWp69QoqeeoM6AkJ6p8w8T/PSiVP/oAiLEMRtNoWVFcS6+19OBIQUBw6ET4t21865f/dhb3+VZpF0chzKKC2adleoZPEFVCUUEAhEoFp9Y8oJU+ggKIR6U6TNCNThiKXcctY/BIJq+yiPZGwAmfX+Gc5PPfA9iUc6aJNa8oHz0FwhiKdShqPMSxr4Nfm+/6v/PhXoa/r/kxBWPAS1EMB5oDCX5JWXJ0pny9dzcm7nPjY5GzJiliVfo5/yd+wi+ZKfRTVzqGoR8kTEHpeqhGeodDS614KKEQimJqZK6snnZ6ZZ2bWfEfLNJhIAUXj2ey7iFnbF+/qWiL1YLrgCZtybZ6Wbb6gSiUTvOr557J1fRcH9m3gwl2DSzvYgn0715Q9ls0kyYSUL5nuoodlDfz8WYSHDo3wD5+/O3DAnXcGRTadDJyRAeF3sU8bGrP9/Q3DhfeQ4fEZpmYW32d2be4p2S6sj8Lf3+LPUASt/AXmkjJvOFpthmKpmYJaLXWlp46Q358yFKV0NkQiMtVkBi2JZ6qR7QlI3Uv9rOlt43effhY//MVRLjl7XcmkX5HVKmwWhfG1qSMLjJY81pFLBa5IdMHuQS7YHU8gUXTumf383+8/wrznYj7sgh3cMq7jQ6WD5qJkKDKpBAnLKvmZPz94imNDk8b9HC2Zxp3DChk+asoSFZ0y3HDq6cjw6LHFEqbi7+noqdKA4bydAzi/Or3w+eGT44xNzDAzN89+e21Js7c3Q5FKJsp6Y0IzFIZzn8umFsp/q13lqV4ZiqWWWoUtTKDMdimdDZGITA17QWnVianZshUiujq0ZGsjumrfRq7at7HehyESm6CL2d7ODI8ddy9aveVCUTIUy6Ujl2bn5h7u81wsB/VPFC01Q2FZFm3ZZNnddueRU8aA4tjp6mZQQIUMhaHkqS2bIpVMLEy/LjZU+5eM3bOtn39LPLiQMf/fX75vYSWn6/YP8VvX7V7Y1hs89nRkygKgsOZ707ntyC0GFNWu8jQ9O8/0zFxopmk5LLXkKezcKKAopZInkYhMfRShKz357kKp5ElEVsKZG7sX/r1lXefCv5904WZSSYtkwuKAJ4g2T8te3hsgpgvu831lT0ErORWZ7qJHacoGc/B13yOnyx6bn89zvMqhdhB+0WkqecKySn4PxfcPf0Cxvr+95Gd7l4W9/Y7HOOHJ2Hgbu3u7ov2OTeVx3r6C8anZksxOmNU4LVurPFVPZ0MkIvNKT8FpX39pgUqeRGQl7D9rLddPzHD4xDhPvWTLwuMX7B7kra+4EqzSu//+gWew/CugtedSjPteU/ftHODTt9+/8HlQQ3aR/6K3Ul+Dianf5BeGgOLUyFTJBO/KAUW0pmxwM0gnht2AoPj+4c2K9HVlyaSTrO9vNy4ZOzef54s/fGQhS+Ht5es1DDAM66EwBWveEql83l0Vq5q/k9GJGXo7sxw+Oc5Ady6w4T9OYTM0qqFVnqqnDIVIRP43P6i00lPpm4YyFCKyEhKWxZMu3MxvPXk3A75Vmbo7MmWlRMYMxTJfNPmXsZ2enWd9fzvbN3QtPLZrc2/oPvxlOZX6GkxMy7ueGJ4syUaAYQZFhUxIaIYiYBig9z1ioYfCUGa1YSB48Yhv3PX4wvuSdw6FqawteA6FOTvkDx6irPT03s/dzRs+9H3e8KHvVV0uVU/KUFRPAYVIRFGnZfszFAooRKQR+S82E5a17BkKf436+OQMlmVx03P2cu2Fm/mNa3Zy2Z51ofvo9F30RumfKGoL6DdxfFkK/7TqpZQ8jU7MGFcI9K7CVCxX8pY8Ffs61vcHBxTTM/Pc9uNHmZqeKynT9a/wBNHnUPh/Z9Wu9HTo5Dh33HcMgBPDU9z5y+NVfV89KaCongIKkYhMqzyF9VB40+NQucFQRKQetm/oXljhrD2bYsem7mXvodi+obvk82Ivw9reNl7ylN087dItFQfg+UueagooAkqTvCspQWmGwqJ8Hkf5fsMvOk1ZCu+ciLHJWYbHpktuWhWzIhsGzDM7ir7y40fLAiD/DAoIv2g291CUPlZthsK/WtjJgNXDllMmVf63lAjJZoWVPOWySaLlwZqbwiuRiMYjDrfzy2aSZNPJkjXFRUTqLZVM8OYbLubuh06we3MvHbn0spc8Pf3SrXzzrscZHp/hjLWd7NjUXfmbfOIIKIJWxHIeOVXyuTeg6O/OVgx2gpbuLTItydvtyxTd/9hQyefFgGJ9SMkTuO9L//GdgyWPmTIUyUSCNs9SsF6m/pVaMxT+98nhgJKv5ZTNJEsa2AHjCl9FYcFWwrLIZZPGhVpakQIKkYiKy/l5RV29orsjzbHTehESkcbS3ZHhir0bFj5fiabsv7zxUh45OsrOjT2Rex/ALf3xzpHY5um/qFZQhuLY6UlODk/S350rfF79Ck/gBmmZVKLsIrbI1Jjt72X55aOlWZLiz+1sS9PZlg59//nhL46WfO4fnFfkXQrWqziJfGp68f2qLENh+D4T/3EOLXFJ11pk00lGKD2OtmwqMKAIy1AUv1cBhUslTyIxiB5QqOxJRBrfSqxk09WeYc+2/ppX/enryvKb1+5kw0A7z7xiKzs29lT+Jp+gHgooLXvy9jJUmwmJ2pjd41uJ6f5HzRkKqJylKNu3IUMB4RfO/j6K8gxF9U3ZXsMBq1wtJ1PGKJVMkDaUQkHlgFp9FIsUUIjEIHJAoT4KEVkFljtDEZcn7z+Dv37ZZTz/wI6avt+0ylNRsTF7fHKm5E52pRWeiqLOovBnEQ4eHln4d0cuVXLxv8HQmD3QnQvsFQhagjd06VhfQJHLJEv6Dqqdll2eoVj5VZ6Cgtag31EmlSCVDM6aaenYRQoopKU88PgQr3rr7bz2Xd8sa1ZbirCmbBNlKERkNVgtAcVShfU6FPsojp2eLHm8+gxFtFkU/qVavbMU1vaVBhCmDEVnW5qrzttY9nhPZyawATl0uF1ZEFK6+lfNPRRjlTMUR0+Oc98jp8hXOTyvkqBemaDAwLKs0HOjDMUiBRTSUj73jQc5eGiYew+e5IvffyS2/Y5PzjIfYYCOMhQishq0Z5d3ladGEXZheOTUBKdHp8pmUMRT8lR+UZ1OJcrKior8WZEN/eaVnp56yRllwYNpzkhRZ+jSseErQ1W7ytPoRGngMTE1x3TI4iT3PzbEH/z/X+VP3vkN/vmr9wduF0UuHS1DAeUlXl7KUCxSQCEt5bRnJsSRU+UTRmuVp/q0LyhDISKrQy6bLCl5adbXrrYK/RvOI6fLstpxlDyZVnkC89RyKA9ignoo1vS2cck5a6vaJ5QPGPSqtNJTtRkK04Imw2PBjdl33HeMmUIz+9fufIy5eXNjexRBJU9hmbhqZ1G0+hKyCiikZY1NVB8AVCNKH0XYnSIRkUaRsCxedO1OejoznLOtj0vOXlv5m1YhUw+F9wa/86vTJRmK9myq4gpARWEN39VMy/Za5wti1vTkSCbMl7JPv3RryedBKzzB0mZRVJuhMPEPfvWa9ayMNTM7z6HjS78JGLWHAsKzdGdt7Vv4987N0RcDaCbK1UjL8gYAUzNz3HX/cTYPdrJxTfiwoMD9eV5UO3LBy9BB897lE5Hmc8XeDSVLyTYjU4Zi2/ouHjrkNkQ7j5wqucM/WGV2AsIvVqdm5picNk3LNr9H+DMUqWSCtX1tHDpRfrF9xtpOnnDuBr71s0NYwCVnB08cDwuOynsoSjMUDx0a4Ys/eISnXHxG5GV/wzIUfg8fGWHz2s5I+/cLKnlqD+lzCSt52m8P8orn7uX40CQH9pX3rbQSBRTSsrxL3f39Z37KvQ+fIpmwuOV3L2bTYPQXLe863T2d2dCAImilDRERWXmmi377jL6FgOLQifGSi98ow/PCmrKhulkURaYyq/X97caAAuClT7O55Jy19HZm2RzyvhZ20exfNhbKm7g/ddv9rOtr5/xdawL3YxKWofB7+PAIV567tMA2sOQpJAsRlr2xLIv9ZzVn1i4qlTxJy5qcnmN2bp6pmTnufdhdxWNuPs9Pfnl8yfvOZZLGZfuKVPIkItI4TKv/7N7SW/J5yZKxkQKK8Hu3pgWM/LMoADLphPG9w99H4e1VSCUT7N0+EBpMQIU5FL5FRBKWOQC564Ho752RAoojI5U3qiBolaewoC9slSdZpIBCWtrY5GzZcnSmu0VRWQSnrMF9g/HWpVZbiysiIvEzLRu7c1NP4DKrg725qvddy9KipvePtb1txpIi/0pPtSyJHtaUvW1910JWPZtJsn1jt/Gu/YOPD0f+uVFKnh45MrowDb2SVNJ8eRu0PHBY0BCWvZFFCiikpZnmRwStuhGV6Q5TkWVZvPCJO8ikE2xZ18lle4JrW0VEZHklDI3NuUySreu7jNtHyVDUsrSoKRMRVGblz1DMzEZfDSnsojmTTvLmGy7mt5+ymzffcDEdubTxJtijx0ZLSn+rESVDMTUzx5GT1TVmB5UVZwOXjQ3LUCigqEYsZ8m27fXALcAzgHXASeArwJscx3nQt+1LgdcAu4FTwKcL240a9vsM4A3AXmAC+AJws+M4Rw3bXg78JXAR7iqeXwVe5//5hW3PAW4FrgCywHeB1zuOc0cNT19WsdGJGfq7Sy/8g1bdiKpSWdOBfRtbvolLRKSRnbWll4cOld95j9JDkavQQ2HSY1jidV2feYnY9YZp2VFVypL3d+e45sLNC5+bgqR8Hg4ejpaliJKhgOrLnrra0sabg7Ws8qQKguosOUNRCCZ+ANwE3Au8s/D5bwE/tG17l2fbm4GPFX7uu4C7cIOLL9m2nfHt98XAfwBrgfcBtwE3AN+xbbvXt+0B4Gu4gcdHgc8BzwJ+YNv2Nt+2ZwPfBq4BPgN8HLgc+LZt2xcv4VTIKjRmWO4ujpInCC95EhGRxmf7+igAkgmL/u5lLnkyZSgCVpYyLesaVSadIJWsfoWmoIxG1LKnoSqmZXs9crjs3rORaWUqCFvlqbbBdrIojrN0C3AG8CeO47y9+KBt2y/BvVh/G/Bs27a3AG/BzQZc7TjOTGG7twBvBF4OvLvwWGfh3w8CFziOM1x4/EvAh3GzFn9aeMwCPgCMA/sdx3m08PgngC8DbwVe6DnedwKdwMWO49xZ2PZ9wPeB9wIKKlqIaRbF0Oh0pKnXQdR4LSKyuu3a3ItllTZOD/TkjCVSQWopeerIpUgmLOY870VRyqyisiyL9ly66oxBUM/Bg48Ps21DaZlYNpMMLIWKUvIEboaimoGC/kZy77GYhM6hUIaiKnH0UDwPOAb8nfdBx3E+ATwAPNW27QRuBiMF3FoMJgpuBYaBGz2PvRjoB95RDCYK+/wI4AA32LZd/Ku4DrCBDxeDicK2X8UNKJ5r2/YAQCFb8mTg88VgorDt3bjBz37bts+v9UTI6mMaRjefzzMyvvSyJ1PKWkREVo+2bIot60ovkKNe2AetLBTGsqyyLHfYhfSLr10oBuEZl28N3C5MlDvxQX0FDxrKwzpDLsinZ+aZnK5+yOzDh0eMq2L5mZa6hbCmbGUolmpJAUXhov5W4BbHcUxdQFNApvDfgcJjX/du4DjOJG7WYp9t28Uxg8Vtbzfs82vAAG55U6VtbweSwBOq3BbgasPXpEmZSp4ATsVQ9qQMhYjI6mefUVr2FKV/AmrLUEDpwh5umVXwTarr9m/mVS84lz94zh6ed+DMmn5e2EpPZdsGXGSfGpkq612oVJIVJUsxPjXLiaHKq1gFljwFBHdhvyM1ZVdnSQGF4zhzjuO803Gc9/q/Ztv2WcBZwAOFoGEHcMRxHFNHzcHCx92FjzsKH8saqkO2fSDmbaUFBA2fOz0SR4ZCAYWIyGp31pa+ks+jBhSZdCJw+dkwfV2LAcSanhzJRPAlm2VZXLBrkEvOXlfTzwLoiBD45EK29fdRdLaF7zdqY/bBw4uXkcmA0rOgkqd0KoHpO8KySNl0suZz2kqWJewqlDi9Gzdg+UDh4QHgoYBvGSp87PFsO+U4jikMNW0LcDrmbWsyOGheYq5eGu146s2/NvXMfJ41a8rP0SywZiD6tOyFn5NOcuaW/rLHE1bj/04a/fjqReclmM6Nmc6L2Wo5L4ODXaSSCa7syvGP/+cXC6Wwl+/bFPk5tOdSxhJbv2w2tbDvZ151Jnfcd6zw7x3Lft4G+tqBEwuf9/TkQn9mImEZ+w0fPVbaOD3Q1w4HTwXuJ59MGn9OW0BQ4L0RmM0kGTfcGNy0rtv4vYNrOsllU0xMLX5PMplg3Tp3toZ3X6nU4nH19+Q4Xpjv0d/b1jB/w41yHLAMAUWhSfr9wLXAj1jsrUjjlkCZFB/P1bit9/G4tpUWMBrQK3FieHLJ++7tzJY184mISGPyN0EXX7vbc2n+/Hcv4Uvff5h9u9aw84zylZ8qaW9LlwQUXe2Zir16F5+zng/cfB2T07Ns22C+QI5TUJlQ4PZt5ibu2bnSN73ugMCg6PTwJIdPjJFIWKwNWBo3SCaVZJzygCKTTpDLJJk0NIO3ZZMlAUVRey5tDE4Anv/EnXzo8z+jqyPDEy86I9IxtopYAwrbtlPAB3GXd30QeI7jOMW/tgncXgqTYl5vrMZtCdh+KdvW5NixpY+Gj0Mxam2U42kUs3OlrT6nhiY5frz8HD1+ZITjJ6pbns74c2bmOHlyjK62NMPji28i8/nG/Z3ob8ZM5yWYzo2ZzotZo5+XP3jOHt7z2bsBWNfXxqmTowuTqdd2Zbj+OrfxuZbjz/iy4z0daWNAMTU1W7L/FNCZTnD8eO3vR9VK+LINQ0OToc+1LZNkuIorpgThd9X+/ZsP8oHP3c18Ps/LnnUOl+9ZD8BEFYuj5PN5UslE2Xv70NAEnW3psoDi+IlR0r7fxdzcPMeOjZBLlz4+Ozu38PwvO2uQPVueQCaVJJuy6v437P1/qVGyFLFNyrZtux34PG4w8UvgGsdxHvdscorgcqLi40OebXO2bZs6kEzbeh+Pa1tpAcvZlA3QHTItW0REGscFuwb5jWt2csXe9bzyeecuBBNxaPcNt2vEVQCjNGVD9cupVmrKfvz4GPOFdNB/fe/hSMcAkE2bL2WDpmUH9UtUmhfS1Z4JXHZWYgoobNvuwx0892vAT4AnOI7ziG+z+4B1tm2bupm2A/O4gUhxW4BtAduCu3ysd9vtMW8rLWB0GZuyQY3ZIiKrRSJh8bRLt3DjM89h89rae+hM/BerqYQVeMFbL1FXM6p2OdUog/cePzZmLEcKk06ZL2U72+KbRSGVxTEpO4c70fpS3CVhn+g4zlHDpt8q/LyrDN9/GXCPZwWobxU+mpZwfSJuFuHeKredx53cXc224C5hKy1ianqurN4T4puW3aulY0VEWp7pYrW3wbIUHREHuFUbgEQJKPKYZ1kEreYEbh+FSXCGIvosCqksjgzFrcAVuBfiT/cOovP5BDAH3OIrZXo90M3ialAAnwNGgNfatr2wVI5t27+Hu6zrhzxzL74OPALcZNv2Ns+21+IOsfus4zjHABzHeRD4NvAC27b3e7bdC1wP/MhxnDuiPX1Z7UxlT6MTM8zOmkarRNOtDIWISMtbFQFFheVdy7avMgCJWkr14GPllefZdJI1PeY1c9IRS56yaWUolsOSzp5t2+uBVxY+vRd4nW3bpk3/1nEcx7bttwKvA35i2/YXgD3AM3Av8j9Y3NhxnJO2bb8WeB9wp23bnwY2Ab+BW7Z0q2fbOdu2X4Hbv/Ej27Y/AXQCLwGOA3/mO5ZXA98Avmbb9sdxg5zrAcvzXKSFjE2Y06v+YTuZdILpmfIgI2glCSgdTCQiIq3Jf7GaB/q6GuuG06Y1HWQzSaYK72dnrO0I3X45MhQADzxuvi+9dV0Xx4fKV2AMylAE/dygkqdaBxCKa6ln7zIWV0z6vZDt/g6YBG4GfgW8AvfC/jDwDuAvHMcpqTFxHOcfbNs+BbwW90L/JPAx4M8dxznp2/Y/bdt+GvBm4EZgFPgC8HrHcR7ybftj27avwg1KXgLM4GZX3uA4zo+iPX1pBkFrg/unfbZlU0zPlPdWmFaSKOpVhkJEpOW1+ZqyZ2bnGy5Dkcuk+JPfOJ/v3H2Ic88cqLiEqz9DMdCd5cRweblw5IDisSHyhvXWt6zv4seFuRxemYAeiqDhdoElTwoolmRJZ89xnM+Bcehg0PZ54D2F/6rZ/lPAp6rc9ivAV6rc9g7gadVsK80vaKUnfx9FezbF0Kg5oDDdNQHoUQ+FiEjL82coxqdm6e1qrIACYOfmHnZurm6+rz9Dsa6/3RhQpJJWSeajkrHJWY6cKp9rvHWdeXnUqCVPQQGFSp6WJrZlY0VWqygZCpOwuy+NuDSgiIisLP/7x+TUbMNlKKLyr/KUSSXpCwiSOiM2fD9g6KPYut4cUGSDmrKDVnkK6KFQU/bSKKCQljcWEFD4MxQ1BRTKUIiItLw23+yDialZ+lZ5QOGfQzE+OcOZARO94+ij6OnIGMuIo2coaptDIeEUUEjLGwuaReErb2oLSJOGrWCRyyQD6ztFRKyKBhAAACAASURBVKQ1+HsoJqbnGrLkKQp/hmJsapYzNwYFFNEu1k0rPYG57Cm4hyLaKk/qoVgaXelIywvMUMRQ8mRZlobbiYi0OP/7x8zsPF3taRIxTuNeaf6Sre0bugMDiqhLx/7q2ChTM+U9F6ayp3RAyVNbNmWcX6EeiuWhgEJa3miVTdm1BBSgpWNFRFqd6f0jscpvOHV3ZLho9yDg3t1/5hXb2La+G1OMFLXkKZ+Hhw6NlD1uzFAElDxZlmX8uQoolofOnrS8oDkU/lKooHRopWFAq/kNQ0REli7oYrWvK1u2AMhq8ofP3csDjw8x2Nu2kLHYPNjJr46OlmwXNaAAeOz4aNljpgxF0BwKcMue/DOlAudQqCl7SZShkJYXVPLkl6sxQ+FtvEurn0JEpOUE3RVf7Ss9JRIWuzb3ljwPU9lT1JIncLMUfn1d2bL33LA+RdP7c1APRSaVMJZISXV0dSMtL2gOhV8yYRlfuCoFFJfvXb8QSFy+Z130AxQRkVUtlTRfbjXj8NP9Z61d+PfW9V2kU0nj+2Qtl+6WZZVlKcJu1JmG2wUFd5ZlqexpCXTmpOWNB6zyZNKWTTE9W5o+rbS+9vYN3fzNyy9jZHyGLes6azpGERFpPkFzG1azPdv6+YPn7OHhIyNcc/4mwHzjrbM9zch4dTf0vPZu7+eeh04CsHFNB5mAjAOYV3rKBiwbC25pc9BsKgmngEJaniGrGqgtmyqrx+wMWJrOq787R393LuKRiYhIM1vtJU9BLjl7HZecvZiRNwUU3R2ZsoAimbCYmw9/V37ShZuYmp7j9Ng0z7x8K/f96nTgtsam7JAARBmK2unMSVMaHp/mo//1C06PTvGia3ex+4zeWPZrerHJpJOkkglm5+Zj+RkiItJ89p7Zz90PunfWr9u/GWDVz6KolqmHoqcjw2PHxkoe27Smg8eOj4UGFelUkmc/YXvJ50HW97cv/DubSZJNJ0kmLCzMNxPVmF079VBIU/raTx7jzvuPc/DwCJ/8yi9j269/OBG4daBRh/aIiEhruf4pNhftHuSyPet45uXbgObNUPiZSoN7OsxTr89YG600OGjZWIALdw9ykT3IQHeWF1+7i1QygWVZgSs9Dfa2Lfy7VYK9uOgqSJqSdxm+wyfHY9tv2CwK/2RtERGRorW9bbzy+eeWPNbXhE3ZJm3ZZFk5U7choADYsbGHg4fLZ1AECVvlKZNO8srnnVv2eDaTZHK6fHDe0y/bwuPHx5iemeM5niyIVKaAQpre1Mwcs3PzgatsRFHrcDsRERG/tmyKTDrB9Exzl8xalkVHLsWwp2ciaOjrjk3dfPWO6vcd1pQdJJdOMmR4fF1fO6//7Ysi709U8iQtwj+krlbBw+0UUIiISDSWZdHXtbhgRyrZvHMQ/O+T7bmUce7DmZt6Iu23lvlOQSVPUjsFFNISqh1eB4QOtlGGQkRE4nTl3vUAWBbst9dW2Hr18r9PWpjLngZ7cnRXsXpiUa0ZComXSp6kJVQ7vA6gpzPDyeEp49faAu5qKKAQEZFaPPOKbVxx/iZymRTtqebNUJjeJ3s6MiU9j+Bmbc7c2MOd9x+var9hPRRBcloeNnbKUEhLGJuovuQpbNWNoAxFR4XhdiIiIkHsrf1s3dBd78NYVqbS4MDG7E3Vn4taAgpvcJNVtiIWCiikJUTJUPTVEFAoQyEiIhIsKENhsmNj9X0UYXMoglx13gay6SQWcM2FmyJ/v5RTzkdaQpQeitAMRcDQGwUUIiIiwYwBhW/Z3PnCYlfbNnRhWZAPH5oNuI3s1W5bZG/p43++4gpm5+ZbZhbIclOGQlrCaIRVnvwvcF5tmYCAIkIDmYiISKsxBRTd7aXvt6MT7jynXCbF5sHqBtxZlkWmhixFZ1tawUSMFFBIS4hS8pRKJugKCBBMk7JBGQoREZEwpl7DHt8F/dDY4oDYXZsXy5462sILampZOlbipd+AtIQoJU8QXPYUNIdCAYWIiEiwTkNQ4F8e1jvg79cu28qanhzpVIKnX7Y1dN+ZtC5n6009FNISog626+vK8qujo2WPBzVlt2dTWECEEk4REZGWYe6hCC456u/O8ZE3PoWJqVnGRiZD911LyZPESyGdtIToGQpzH0U6lTAOvkskLNoDGrZFRERa3ZretpKy4XX97YGrPBVZlkV7Fcuy17J0rMRLV0DSEqL0UEBwyZNlWbRlU4waApTOtnTkTIiIiEgryKaT3PTsvdx2x6PYZ/Syc3MPcY3xS6vkqe4UUEhLGDdc6Ldlk0xMzRm37+0Km0WRDAwojpyaqP0gRUREmth5OwY4b8dA7PtVyVP9KaSTljA+Ocv8fGmHQ9h061qmZW8a7Fj490BPLuIRioiISC1U8lR/+g1IS8gD41OlWYqOkJWZwqZlB6309Owrt3Ph7kH27Rjg+VfvqOk4RUREWsl1+zcv/PvAvg017SOdVoai3lTyJC3D30fRGdJEHVbylAsYbtffneO/Pf/c2g5ORESkBT3nCdtJWBZz83mee9X2mvahDEX9KaCQljE2UZqhyGZSJBPui5hfV3s68GtBJU8iIiISTUcuzYuu3bWkfWSUoag7hXTSMvwZCovgsqeEZdETsHRsUMmTiIiIrDxlKOpPvwFpGaZZFB1hZU9B07I932PFteadiIiI1CStgKLu9BuQlmGaEWGa3FkU1Jh93s6BhUDivDMHsBRViIiI1I0yFPWn2g1pGeYMRfSlY3ds7OFNv3MxR06Nc8GuNbEdn4iIiESnHor6U0AhLWPUMC27oy1spSdzDwXA1vVdbF3fFctxiYiISO2Uoag//QakZfhXeYLwkqew4XYiIiLSGNKalF13CiikZfhXeYIKJU8hsyhERESkMWTSupytN5U8yao2OjHDZ7/5IAksnnPV9tCMgzGgqHFatoiIiDSGjDIUdaeAQla1f/36A3z9zscByJPn+qfYgduOT86SSJSuyBQWgAz05Mimk0zNzAEqgRIREWlEaWUo6k6/AVnVDh0fW/j3wcMjodtGnUORTSe5/im7WdffzpV713Pejv7aD1RERESWhZqy608ZCmkao4aAwWtscpau9tKVm8J6KACuPHcDV567YcnHJiIiIstj45oOUkmL2bk8AJsGO+p8RK1HAYU0DVMGwmtuPs/k9FzJY2ElTyIiItL4OnJpXv3CfXz3nsNcsGsNa3ra6n1ILUcBhTSNsclZ5ubnSSaCU5/+xuywORQiIiKyOuzZ3s+e7SpNrhcVnUlTGZssnzXh5c9QZNNJUkkrYGsRERERqUQBhTSVSmVPfpZlVeyjEBEREZFgCiikqVRqzDYJm0UhIiIiIuEUUEhTGR2PHlB0hiwdKyIiIiLhFFBIU1GGQkRERGRlKaCQpjI6WUNAoR4KERERkZopoJCmUlPJkzIUIiIiIjVTQCFNpbaSJ/VQiIiIiNRKAYU0FfVQiIiIiKwsBRTSVKLOoQDoVA+FiIiISM0UUEhTGaklQ6FlY0VERERqpoBCmkotGQqVPImIiIjUTgGFNJXRiVny+Xyk79EqTyIiIiK1U0AhTWU+n2diajbS93S1p8mkFv9X0KpPIiIiItVTQCFNJ+pKT+lUkudedSappMXOTT1cuHtwmY5MREREpPnEfivWtu2NwL3Amx3H+TvD118KvAbYDZwCPg28yXGcUcO2zwDeAOwFJoAvADc7jnPUsO3lwF8CFwF54KvA6xzHedCw7TnArcAVQBb4LvB6x3HuqOU5S2MZnYiWoQB42qVbeNqlW5bhaERERESaW6wZCtu2O4F/A7oDvn4z8LHCz30XcBducPEl27Yzvm1fDPwHsBZ4H3AbcAPwHdu2e33bHgC+hht4fBT4HPAs4Ae2bW/zbXs28G3gGuAzwMeBy4Fv27Z9cS3PWxpLLbMoRERERKQ2sWUobNveihtMXBjw9S3AW3CzAVc7jjNTePwtwBuBlwPvLjzWWfj3g8AFjuMMFx7/EvBh3KzFnxYes4APAOPAfsdxHi08/gngy8BbgRd6DuWdQCdwseM4dxa2fR/wfeC9gIKKVW50YrrehyAiIiLSMmLJUNi2/cfAz4B9uJkEk5twA5hbi8FEwa3AMHCj57EXA/3AO4rBBIDjOB8BHOAG27aThYevA2zgw8VgorDtV3EDiufatj1QOM5dwJOBzxeDicK2d+NmKvbbtn1+xKcvDcZf8pRJq1VIREREZLnEdaX1x8DDwAHgfwVsc6Dw8eveBx3HmcTNWuyzbbvHt+3thv18DRjALW+qtO3tQBJ4QpXbAlxtPnxZLfwlT7lMioRl1eloRERERJpbXAHFTcD5juN8J2SbHcARx3FGDF87WPi427MtuCVP1W77QMzbyirlH25noaVgRURERJZLLFdZjuN8sYrNBoCHAr42VPjY49l2ynGciSq3BTgd87Y1GRzsWsq3x67Rjidu6Uz5n/D0fL5kWF0iYdGZyzAyXhpoZLKppj8/tdA5MdN5CaZzY6bzYqbzEkznxkznxayRzstKFpengamArxUfz9W4rffxuLaVVWpkrLwpu6td07BFRERElsNK1oFMAJmAr2ULH8dq3JaA7ZeybU2OHTNVdK28YtTaKMezXGamy2dOnBqepK9z8Vc8P58vmYRdND012/TnJ4pW+ZuJSuclmM6Nmc6Lmc5LMJ0bM50XM+95aZQsxUpmKE4RXE5UfHzIs23Otu1sldt6H49r21XtZ/cf51VvvZ23fepOhkaDkj2ry8zsHFPTcxW3M82h6MgpQyEiIiKyHFYyoLgPWGfbdpvha9uBeeCXnm0BtgVsC+7ysd5tt8e87aoxMj7NPQ+dZGpm8WL7I1+4m4OHhrnnoZPcdsdjdTy6eNx78CR/9Pff4o/f9S1++sCJ0G2NAYWaskVERESWxUoGFN8q/LyrvA/atp0DLgPu8awA9a3CR9MSrk/EzSLcW+W288APqtwW3CVsV42JqVne8tEf8rZP3clbPvpD5ufzAJwcnlzY5sip8XodXmxu+8ljTE3PMTUzxxd/8EjotjOz80zPlGYyOpWhEBEREVkWKxlQfAKYA27xlTK9HujGnXZd9DlgBHitbdv9xQdt2/493GVdP+Q4znzh4a8DjwA32ba9zbPttbhD7D7rOM4xAMdxHgS+DbzAtu39nm33AtcDP3Ic5454nu7KeOTICCeG3ZKmQyfGeejwcNk2pjv29Tafz/PFHzzCB7/wcx45Urk2cnJqsVfi5EjlEi7/cLuONgUUIiIiIsthxepAHMdxbNt+K/A64Ce2bX8B2AM8A/ci/4OebU/atv1a4H3AnbZtfxrYBPwGbtnSrZ5t52zbfgXweeBHtm1/AugEXgIcB/7MdyivBr4BfM227Y/jBjnX444reGXsT3yZZdLJks+HR8tXOBqbKG9crre77j/Op267H4D7HzvN3950OVaVw+dGx8ufY9k2E6XbtOdU8iQiIiKyHFYyQwFwM/DfgDzuhf1e4B3AMxzHKbnt7DjOPwAvAo7hXugfAD4GPNFxnJO+bf8TeBpuGdSNwDOBLwBXOo7zkG/bH+OWXX0LN+h4MW6Z0wHHcX7AKtPlu/M+YshGNGKG4vHji4tpHTs9yfhU9UHP+OTsQmlXEP9zVlO2iIiIyPKI/bat4zgfBT4a8LU88J7Cf9Xs61PAp6rc9ivAV6rc9g7cAGTV62ovXQF3xHD3fnSy8QIKv7HJ2aov+vPA2ORM2XP3Ki95UoZCREREZDmsdIZCYpbNJEtmLPinQQNMTc8xOzdf9ngjGY8Y9FTKukz4Mh5qyhYRERFZHgoomoB3CrQpoAAYa8CyJ6/xyWh9HlHLuNSULSIiIrI8FFA0gU5P6c/IhLlhuRH7KLwiBxQBgVOQ9qxKnkRERESWgwKKJuBtzA7MUES8YF9pYxFLnkzN52ESCUtBhYiIiMgyUEDRBLwlT0FLqjZbhqKWEi41ZouIiIjETwFFE/CudhSUoWj0gCJqBiVqhgK0dKyIiIjIclBA0QS8GYrp2XmmpufKtolaUrTSIq/yFLGHAtSYLSIiIrIcFFA0gapmUTRZhqKW59OhadkiIiIisVNA0QSqmZbd+MvGxjuHwkQZChEREZH4KaBoAtVkKMYm4lvl6YHHh/j4lxzuuv94bPscn1IPhYiIiMhqpICiCXh7KMDcmB1XydPUzBz/85M/4bY7HuOdn/kpR0+Nx7LfyCVPAatZhVHJk4iIiEj8FFA0gaoCipiaso+cHGd6Zn7h8wcPDcey36jLxo5PzjI/n4/0PcpQiIiIiMRPAUUTaMumSCashc9N07KXq4diYqp8RalajE/Oks9XHyDkKV+5qq3C4DrNoRARERGJnwKKJmBZFp3t4dOyRyeiXbBXK2ozdZD5fJ5Jw3K3YfxlXP7mdD9lKERERETip4CiSXgvpk0zGmbn5pmenS97fKmiNlOHiTorwx9QVFrFSas8iYiIiMRPAUWTKJ2WbW5YXo6yp7hKniB6H4U/cMqmE6SSwX/SnWrKFhEREYmdAoom0VWh5AmWZ7hdXCVPEH2lJ9PSsZ0hfRLtKnkSERERiZ0CiibR1ebJUBiasqH5MhSm59PZljFs6UqnEmTTycjHJSIiIiLBFFA0CW+GYmJqjpnZ8gbs0YgX7NUYn4ovSIma7YiaoQCt9CQiIiISNwUUTcI/i2LUkKVYnpKnOJuyl9ZDAdBZofF6sKdt4d/dHcHZDBERERGpjgKKJuFtygYwrRC7PCVP8QUUxWzH8Pg0//r1B7j9J4+FDq8zBUiVAornHTiT9QPtbNvQzXX7Ny/tgEVEREQE1X80CX+GwmRZMhSxLhvr7uuD/34P9xw8BUA6meAJ520wbj86MYNnnh9AyTwOk91n9PLB1z8ZgGPHRpZ4xCIiIiKiDEWT6GyvXL6zHBmK6Zl5ZufimW9RLJ86eHjxQv++R08Hbm/sodBKTiIiIiIrSgFFk6gmQxG1R6FacZU9mQbbmfokFr9W3iei4XUiIiIiK0sBRZPozKWxKmyzHCVPEF/Zk6nBezhgSF9xe3+LRaUeChERERGJlwKKJpFIWBXvzi9XQBFXhsIUUARN/QbIU57VqNRDISIiIiLxUkDRRCqVPZlKiuIQ19KxpjkUQVO/i/xBkjIUIiIiIitLAUUT6apwMT02MUvetJ7sEsUVUIxNlh/f5PQcM7PB07jHJkp/tgIKERERkZWlgKKJ+GdR+M3n87HOjSiKa59z83mmZ8pXjArLUsz7ApC2bAqrUjOJiIiIiMRGAUUTqWoWxTKs9BTvLIroZU9eCctSlkJERERkBSmgaCL1mkUR67TsiCs9mSigEBEREVk5CiiaSN2mZceY9TBnKKIFFJpFISIiIrJyFFA0kaqG2y1HQBFnhsKwryglT6Bp2SIiIiIrSQFFE6nUlA3Lk6FouJInzaIQERERWTEKKJpIpWVjYTWUPMWQoVDJk4iIiMiKUUDRRKrJUJgu2Jcq1pInUw/FmJqyRURERBqVAoomUs2FdKOv8mTMUEQ8ZgUUIiIiIitHAUUTSacStGWTods0esmTMUOhZWNFREREGpYCiibT1RZe9mRalnWpJqZnyyZW18qUoRhWD4WIiIhIw0rV+wAkXl3taY6engj8+nJkKPJ5mJqe49O338+3f3aIC3cPctOz92BZVuR9mbIdU9NzzMzOV70PzaEQERERWTnKUDSZSo3ZoxPxN2UDHDw8wtfvfJzZuTw/uPco9z82VNN+ghq8o/RRKEMhIiIisnIUUDSZSjMYJqZmmZuv/m5/tY75siJHTgZnScIElWQNe1Z6SibCMx8dOSXeRERERFaKAoomU9W07OVYOta3z6GxqVj2U+Q95kpBUyqZoC2roEJERERkJSigaDKmpuxMqvTXvBxLx/pLlU6PRFuZqWhmdp6ZufAMSjUlTZ1tCihEREREVoICiiZjylD4m5THlqGPYsKXWThdY4YCYHomPKDIpZOkkuFlT+qjEBEREVkZCiiajCmg8F9cL8ssiqnSfZ4erT2gqMiqHDB0Vlg+V0RERETioYCiyZhWefI3KS9HQDExNVfy+dBobSVP1aocUKjkSURERGQlKKBoMl2GC23/xfdyDLfzT7g+PTpFPqZhdyaVAoqdm3sX/r11fdeyHYeIiIhIq9Nt3CZjylC0ZVNYljuADqrPUMzP57n7oZNYFuzZ3k8iZFCdvyl7di7P2OQsnW1p5vN5xiZm6GxL1zTszqSzwryNA/s2MDs3z+nRKZ52yZZYfqaIiIiIlFNA0WSymSSZVIJpz2Rpy7LoyKUXAolqV3n6P99/mH/9+oMAvPjaXTz54jMCt50wDKQ7PTpFey7FOz51J/ccPMWebX285jfPDw1MqlUpQ5FMJHjy/uDjFREREZF4qOSpCVVa6Wm0ijkU+Xye2+54bOHz795zOHR704TrodFpfnVklHsOngLgnoOneKDGCdp+WsVJREREpDEooGhCpnIgb5NyNRmKx0+Mc2pkcaWmQyfHQ3si/E3Z4GYoJqdLA42jp8wTtCtNv/Yz9YqIiIiIyMpTQNGEjBmK3OJj1QQU9zx0suTzqem5kgCjGqalY08MTxq3bc9Fq75ThkJERESkMSigaEKmadmdJSVP0QMKgMdPjEU6jtOGpWNPBgYU0QKETkPQJCIiIiIrTwFFE6o03K7SKk8zs3M4j5wqe/zQ8fFIx2HOUJizHP5ZGZUoQyEiIiLSGBRQNCFzydPiBfv0zDwzs+U9D0W/fHSoZJWookMRMxSm4XYnhgIyFNloAYV6KEREREQagwKKJmSaReG/o/+2f76T+YAma1O5E7iN2lGYMhQnhyeNzd1Reyg6FFCIiIiINAQFFE3IdPfefwF+36ND/OLh8rImgLsDAoqoGYrTo9P4Y4fp2XljyVVHxB6KXCZJKhnPkDwRERERqZ0CiiZkylCY7uh/754jZY8NjU7xq6OjC59n0ot/IiPjM1UPxQOYnZtnzDDz4qShjyJqhsKyLPVRiIiIiDQABRRNyNiUbcgA/Pi+o2W9FD8/WJq1uHLvhpLPo5Y9DY1Vt3Rs1AwFqDFbREREpBFEuy3cRGzbTgGvAl4GbAcOAf8I/K3jONXfhm9A5knZ5b/qiak57rr/BPvPWrvw2N0PnVj4dzqV4OrzN3L7TxYnZkcve6ouoIiaoQAFFCIiIiKNoJUzFO8B3g6cAN4JPAa8BfhkPQ8qDm3ZVFl/QdDF93fvObzw7/l8nns8GYrdZ/SycU1HyRTrQ5Ebs6ubRRF12VgwTwQXERERkZXVkgGFbdtXAC8HPgMccBzn/wMOAP8EvMC27WfW8/iWyrIsBnraFj7PZZJk00njtj994MRCk/SjR0cZHlsMAPZu7yeVTLC2b3Ff0YfbVTeLIuqysaAMhYiIiEgjaMmAAnhl4eNfOI6TByh8vBnIAzfW68Di8oIn7SKRsOhqT3PluRuwLPOKSHPzeX7kHAXgnoOlqzvt2d4PwMaBjoXHTLMlwlQ7iyLqpGxQQCEiIiLSCFq1h+IAcNxxnLu9DzqO87ht2/cBV9fnsOLz9Mu3cdW+jQydHicTkJ0o+t49R3ji+Zu4+8HFgKK3M8OmNW4gsWFNB9x3rKbjCJpF4RdU8pRKWszOmedlaLidiIiISP21XIbCtu0ssBl4IGCTg0CvbduDK3ZQy6SzPVMxmAC471enOXRijF8+enrhsT3b+xeyGhsH2ms+hpHx8v72obHpsiAhKENhWgK3SBkKERERkfprxQxFf+Hj6YCvDxU+9gCRb8sPDnbVckzLptrj+efbHii5yL/8vE0L33vOzrmgb6vZxMx8yecb1neTSSeZnin9WX1dOU6NlGY50qkkg4NdbNpQ2iCeyaQinf9G+101Cp0XM52XYDo3ZjovZjovwXRuzHRezBrpvLRchgIo3tYur8UpfTy3AseyovzLyXoWb+JnDxwv+dr5uxcTNJvWdhLQglGzY6fKV4syZRx6OoMzFN0dWuVJREREpN5aMUMxUfgYdDWaLXyMtpxRwbFjI7V8W+yKUav3eNqzqZISpLO39pUsE1u0dV0X0xPTHJtYbKge6M5x3NBMbeF2sUd12Lda1PHjI7RlysuzsunymHdmdo5jx0aYnSwtp5qenq3q/JvOjei8BNF5CaZzY6bzYqbzEkznxkznxcx7XholS9GKGYohYB63pMmkx7NdU+nwZQDO32VuE9l7Zn/ZYxs8Kz155bKVezRMzCs9lce37dlUyRwML//zEREREZGV13IBheM408DDuNOxTbbjrgB1MuDrq5a/pKi/K7uwkpPXnm2mgMLcmF3L/AiA6dn5ssdM+7Kw6DRM/gZ3voZ/gJ+IiIiIrKyWCygKvgWst217t/dB27Y3AruA79blqJbZvp1rSj4f7G3jsj3rSh7LppPs3FyevNloCDwA2rLxZQkCV3pqM1enWZallZ5ERERE6qxVA4p/Kny81bbtBIBt2xbwN7htAR+o14Etp6vO28COTd0A7LcH2by2k0vPKQ0oztrSSypZ/mcRnKGoreTJJGgWhb+Z3EsBhYiIiEh9tWJTNo7jfMW27U8Bvwl817bt24ErgKuAzwD/Wc/jWy6pZIKbX3IR41OzCxfva3rauPistfzwF+607KvP32T83qAeilomXAcx9VBA+GpO6/vbefSY2+Dd15UN3E5ERERElkdLBhQFvw3cA9wA/DHwCPAm4H84jlPLwkWrQiJRXib0e792Nvt2DjDQncPe0mf8vs62NN3taYZ9g+raauyhMOkILHkKDlqe84TtnBqdwsLimVdsi+1YRERERKQ6LRtQOI4zA/xl4b+Wls0kuWLvhorbbRjoYHi8dB5grU3ZJkEZirCSp02Dnfz5b++P7RhEREREJJpW7aGQGmwwNGa3BQQBbTX0VgRmKDTATkRERKRhKaCQqpkas4MyFL2d0fsZAjMUAas8iYiIiEj9KaCQqm00NGYH3JHuFAAAE+FJREFUBQE9NWQVail5EhEREZH6UkAhVTNlKIKasntrWHEpqOQpbJUnEREREakvBRRStb6uLLlMaW9EwrLIZsr7JXo7zAFFwgqebK0MhYiIiMjqo4BCqmZZVtV9FL2d5qxCX1dwtiGTSpBKlgcc7dkUyURwICIiIiIi9aOAQiIxDbgzBhQBJU/93bnAfVuWZRyUZ1kWncpSiIiIiDQkBRQSSbV9FLlMkky6/M9rICSgABYmePtppScRERGRxqSAQiKpfqUny7h0bFiGInhf0N+9uK9cpmXnMYqIiIg0HAUUEsm2Dd0ljdVrenLBsygMqzMN9FQIKLLm0qbrLtpMJu32WFxzwaYIRywiIiIiy0m3eiWSvq4sL32azdfvfIzzdqxhy7rOSEvH9ldYTjao5GnvmQO8/ZVXAhj7LERERESkPhRQSGQH9m3kwL6NC58HD7crDx4y6SSdbWlGJ2aM3xO0L/drCiREREREGo1KnmTJAkueApaIDWvMVtAgIiIisroooJAlCyx5Chhu522w9gsqeRIRERGRxqSAQpYsqEwpaLhdeIZCAYWIiIjIaqKAQpYsqOSpx7BsLIQvHduhkicRERGRVUUBhSxZYMlTQEARtnSsSp5EREREVhcFFLJkQWVKbdkkmVS0adlBwYmIiIiINCYFFLJkQUGAZZmnZQ+ENmWr5ElERERkNVFAIUsW1EMB5sbsro4MqaRl2FpN2SIiIiKrjQIKWbJ0KhEYIJgasxOWRX+Xuewpl0mSsMz7EhEREZHGo4BClsyyrMiN2UGzKCzLYk3vYrDR1a4SKBEREZFGpoBCYhE4LbuGWRQvvHoHXe1ptq7v4gnnbYjl+ERERERkeahgXWIRPNyuulkUlqfMaf9Za9l/1tr4Dk5ERERElo0yFBKLoJInf2lTcRnZC3cPUowhztnWRyqpP0URERGR1UgZColFUMnTzs09bB7s5NFjo2we7GDr+i4Atq7v4s03XMzjx8e4YNfgSh6qiIiIiMRIAYXEIqjkKZlI8Mbf2c/jx8dYP9BekonYsq6LLeu6VuoQRURERGQZKKCQWIRNuE6nEguZCRERERFpLipcl1iEDbcTERERkealgEJi0Z7TvAgRERGRVqSAQmLRlk3W+xBEREREpA4UUEgs2rPKUIiIiIi0IgUUEgv/Kk+eOXUiIiIi0sQUUEgstqzrJJtxy56SCYutWg5WREREpCVoaR6JRS6T4s+vv4gfOUc5d8cA3R2Zeh+SiIiIiKwABRQSm81rO9m8trPehyEiIiIiK0glTyIiIiIiUjMFFCIiIiIiUjMFFCIiIiIiUjMFFCIiIiIiUjMFFCIiIiIiUjMFFCIiIiIiUjMFFCIiIiIiUjMFFCIiIiIiUjMFFCIiIiIiUjMFFCIiIiIiUjMFFCIiIiIiUjMFFCIiIiIiUjMFFCIiIiIiUjMFFCIiIiIiUjMFFCIiIiIiUjMFFCIiIiIiUjMFFCIiIiIiUjMrn8/X+xhERERERGSVUoZCRERERERqpoBCRERERERqpoBCRERERERqpoBCRERERERqpoBCRERERERqpoBCRERERERqpoBCRERERERqpoBCRERERERqpoBCRERERERqpoBCRERERERqpoBCRERERERqpoBCRERERERqpoBCRERERERqlqr3AUgp27bXA7cAzwDWASeBrwBvchznQd+2LwVeA+wGTgGfLmw3atjvM4A3AHuBCeALwM2O4xz1bPNR4HcqHOLHHMe5oYantiT1PC+ebW8EXgXYwCTwTeANjuPcFc+zrE2DnJuXA6/EPTfHgP8A/spxnMfieZbRLdd58XxPAvge8LjjOM8N2OZy4C+Bi4A88FXgdf6fv5Ia4bz4tv8csNlxnP01PaGY1Pu82LZtATcBLwfOBuaAu4C3OY7zb0t9fkvRIOfmeuDVuK8x48AXC/s9uMSnV7N6nxfD9ucDPwQ+UY/3ac9x1PvvZSfwy5BDbHMcZzLKc4pLvc9NYRsbeAvwJCAH/AL3deafl/LclKFoIIU/tB/gvqncC7yz8PlvAT+0bXuXZ9ubgY/h/g7fhfvG8xrgS7ZtZ3z7fTHuBd5a4H3AbcANwHds2+71bPo54C8C/jtU2ObrsT3hKjXAecG27b8CPgj0A+8H/h14amHbi+J9xtVrkHPzHtxzsh74KO5F80uB73t//kparvPi8/fAxSHHcAD4Gm5A9lHc/7+eBfzAtu1ttT2zpWmE8+I7npuB50R/JvFqkPPyAdz/13qADwH/G/fi+V9t2/7vtT2zpWuQc/NXwD8BHbivw18CXgT8xLbt3bU9s6VpkPPiPZ4U8BHqfKO4Qc7LeYWPn8J8PTMb+YnFoBHOjW3bFxZ+5rNw3+M/AmwAPmnb9qtrfnIoQ9FobgHOAP7EcZy3Fx+0bfslwMeBtwHPtm17C250+V3gasdxZgrbvQV4I+4drncXHuss/PtB4ALHcYYLj38J+DDuHeg/BXAc53O4Fz0lbNt+IYU/OMdx/jH2Z13ZLdTxvNi2vQ54HXCwsO3pwuMfx71L9lbgmmV79uFuob7n5onAK4D7gascxzlcePyduHdJPkB9zs0txHxePPtow31e1wf98MId1Q/g3knd7zjOo4XHPwF8Gfdv5oVxPNGIbqGO58WzbRL4H0DdLpR9bqG+fy+XATfi/j9zreM444XH3wj8GLjVtu1POo5zKGgfy+gW6ntubOBm4Pu4rzHF/X4c+L/AXwO/HscTjegWGuD/JY/XAhfU+mRidAv1Py/FgOJWx3F+utQnFKNbqO//SwngH3Gv/a92HOeHhcdvAX6K+zrz/lqzN8pQNJbn4ZaL/J33QcdxPgE8ADy18AdxE+4fxK3FP7SCW4Fh3Demohfj3lV/R/HCsLDPjwAOcEPhzd3Itu0B3LvPJ3DLfeqh3uflgsJ+P1sMJgrbfgl4GLgsjidZo3qfmxcVPr6xGEwUtv0J7t2VJ9q2XY83ueU4L9i2fR1wD+6L9pdCfv51uHeXP1wMJgo//6u4AcVzC/9vrbR6nxds294P/AQ3mAjddgXV+7w8v/Dxr4vBROHnHwH+AcjilifUQ73PzT7gUeCt3v06jvNF3DKQy2t7WktW7/Pi/Z6zgDcB/1XTM4lXI5yX84AZ3CxAI6n3ubka99y8oxhMFH7+KdwbhR/HrUqoiQKKBlG4QLsVuMVxnHnDJlNApvDfgcJjJeVHhajyu8A+27Z7Cg8Xt73dsM+vAQO4JRlB3oh7cflGx3FOVH4m8WqQ81J83lt9x9YG9OG+QKy4Bjk32wsfv2fYtnhn6AmhTyRmy3hewH3B7gJ+H/dFP0jYObwdSNKa5wXgubh/N3+Gm3avqwY5L1/GLcX4oeFrU4WPneHPJH6NcG4cx/m04zhbHMf5jO/Y1gG9wJFITyoGjXBePMeSwM0cH8S9q103DXRezgN+4bsYr6sGOTdPL3z8V/8XHMf5mOM4NzmO80gVT8dIJU8NwnGcOdx6ujKFuw9nAQ84jjNp2/YO4IjjOCOGzQ8WPu7GfXPaUfjc1ATq3bassdh267z/EHgIt251xTXIeflR4b/nFWoMPwZ0A28vfHxztGcVjwY5N8WLnaxh2+IL3lbD15bNMp4XcGvb/8hxnGE7vA+ieA4fqLDfFdMg5wXcssq/dxznqO3WfddVI5wXx3G+jBtUmBQbK+8Jex7LoRHOjeHntgOX4L7+AvxNtd8blwY7L3+Em6W5msXX47pohPNi23YHcCZwu+329xWbn+/FbTz+ROQnFoNGODcs3gh8oFA+9du45ey/wF1E5TOB31mFur+YS7jC3Yd342aTPlB4eAD3It9kqPCxx7PtlOM4E1Vs6/dHuNHyOxzHqUsTU5CVPC+O4+Rt234a7v+0f8diujKP+z/xu2p9Hsthhf9mfoR7l/n5eN7YbbeH4Jm+besqhvOC4zjfqvLHFcuZThu+Vun/uxW1wucFx3F+VMNhrriVPi8Bx/A7wBXA3cB3lrKvONXr3BQutO73PPSapV4ExWmlz4tt29txG9bf7zjON213laeGs8Ln5VzAwi0RXAP8CzAIPBv4uG3bux3HqctNQJMVPjcbcYPOz+CuPPhZ3OuYFwD/Ytv2KxzHeV+kJ+ChkqcGVrgoez9wLe6FW/FCNk3wnYji47katvX+7A7gd3GXNPtIpANfZnU6L38E/BqLKzP8L9yG27+wbfspEZ/CsqnDufkQbk3nm2zbfqVt2wOFhrL3476wg/viXlcxnZco0r59xLXfWNXhvKwKjXBeCnXR78etBb8xoExixdX53KSA4qpyh4G3227jet3V6bx8CPemxetq/P5lV4fz0oPb6/du3EVF/sxxl9A9F7fn8Y22be+rYb+xq8O56cCtJjgXON9xnBsdx3kZcCHutd7bC6WENVFA0aDsxSXgbsQtPXmO4zjThS9P4GYOTIqlJ2M1bOv1HNz61E86jmP6el3U47zY9v9r795Cp6qiOI5/oysVhFEUWGFULMsXiUiDolKKbkQZZhfRiCSxNAuKMkwtMEWo6KWSiISs0DCTpHoo7CJRpNhDxtIgyhK7kN0oTMoe1j45DOf/tzlz2fvh94E/w/+cM9v/LM/MnL3P3mvZVPYveBvr7nPdfRowFvgHWGNmxzd7Rb2TIzbuvpNYaPYH8QH+I/GhPZHI/kTal00P49KJ6u5OXdvdtNszmeJSvBLiYmZXEXVfDgVucfePum2zF3LHxsOd7j6TmL6xDXjYzM7tpt1u5YiLmc0gRuFneUvyjJLkiIu7v+Xuo919dmsn3KMm0iJigOuGIRsYkEzvpSoeS9x9R7XRo5bLk0Qn5eoG7QLqUBQpzRF9jcj7vx24OF24VXYz9HSJavsvLcceYWbDzXH/pWZfdVKVdDs5V1xuSY/3tLzhcfcviNSXR5EnbeF/cp4z7v4OcDpxR2seEYuz2L+YfeCLJis9jksndre10at2eyJjXIpWQlwsCmiuJUbjp7v7i9201yslxKaVR5KQR9KvjS+CupUjLmY2ElgGrHb3dR39wQNS2vmSbE6Ppw57VJ9ljE31nE01+7akx9Nq9v0v6lAUxsxGEEXEriBSK55fs+p+G3BCyjLU7lSiF7q95ViAUUMcC3F7sPVvOBi4jMhe9H6HL6EvMsflZGJNQd2cxmqh5CkHeg39UsI54+673f15d3/U3V9x9z1AVfl4ayevp1f6EJdOVDGs++KqjeGgZI5LsUqIi5nNIxJg7AWuc/cXmrbVSzljY2ZjzOwmM6ub4vFVejyu03Z7IWNcLiEuLCeb2b7qJ/0NANPTtoUdttsTmc+X08xsQrpob1f9W1mqZEP2z5nqOXV3P6ppuo1nFKhDUZD0gfk6MI5IF3aRu39fc+gHxP/dBTXPHw981pIdoFqsc2FNOxcRPdb2XM2jiQ+rjSkzQVYFxOU74PC0NqBdVdlyV82+vssdGzObZGY/mNl1NcdOIuZ7bujgJfVEn+LSiQPF8B+iWulAFRCXIpUQFzObQxRp+xW4tJSR5wJiMxdYSVxEt6vmwtdlU+urzHHZQn0F6GfS/k/T7xs6bLdrBZwvC4C3iUHRdlWq7iyJIQqITTVAXFfTphoAbFwIUB2KsiwmMnp8CFw+zLzIlcDfwMK2aSnziDSmy1u2rQV+A+4zs2OrjWZ2K5F27NmaxX5VIbK6nOg55I7LqvS4zFrSXJrZSUR10r+ANQ1fW7dyx2YzkZHi9rTArDp2PpELfLlH0ZxB60dcOvEu8DURl1HVRjObSFwYveruOeqX5I5LqbLGxczOJqrk7iE6E0XcGU5ynzPV5+/DrSO2FhmO5hOjzS81bLsb2eLi7lvcfWH7D1EEEaDav6HTtnsg9/myOj0+ZJFcBgAzM+B+YjpRrmmEuWOziljEP8fMzqw2mtkZRImAXcAbDdvmoH379jV9rvSQmZ1I3L49jFios2OIQ5d45CleQmR2+JxYvDeGyLe8EZiYppxUbc8EnkptrgJGAtcT6ffOc/ef2v6WBUSJ+CnuvoqMSoiLmR0KrCcuBLcSb7gRxAj8McSiuOqDfGBKiE069jHgbqK43XtEBonLic7GBHcf6Fz7fsal7d8ZRaT2e83dr6nZfyUxT/Zn4gviaOBmYgR63BBT6PqmlLi0HXsIMb1nk7ufM9yx/VJCXMxsHZF+eXNqs86b7l5XQLJvSohN2v8csUbrS2AdkTBkEnAksc5koLUFSolLzfFjiWk0KzwyGw1UKXExsxeBG4maDeuI7+triUXHk9x9qPdY3xQUm8lEB/xP4GXibvlkojBeV7FRHYpyjGf/vLZbhznuCWJE5gHihJwF3EX0LB8HFrWfaO7+tJntJkbT7yDSg60AHmzvTCRVDv1vmr2UnsoeF3ffmy4O7wGmAbOJkcSPgaUeRalyyB6b5F5iNP42IjbfEjUplg66M5H0LS6dcPf1FvVLFhCx+Z34Ypg36M5EUkRcClRCXKqpDWennzo/U1+Rvp9KiA1EBeBPgJnESOqfxPSNxe6+sYt2myolLqUpJS5TiffKDOKc+YO4a7zI3XPNvCgiNu6+2sx2Enf3pqTNH6d2u7ozqjsUIiIiIiLSmNZQiIiIiIhIY+pQiIiIiIhIY+pQiIiIiIhIY+pQiIiIiIhIY+pQiIiIiIhIY+pQiIiIiIhIY+pQiIiIiIhIY+pQiIiIiIhIY+pQiIiIiIhIY+pQiIiIiIhIY+pQiIiIiIhIY+pQiIiIiIhIY+pQiIiIiIhIY+pQiIiIiIhIY+pQiIiIiIhIY+pQiIiIiIhIY+pQiIiIiIhIY/8CEsgsufLHirUAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 248,
+       "width": 394
+      },
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "capital = (-bt.trade_log['totals']['cost']).cumsum()\n",
+    "date = bt.trade_log['leg_1']['date']\n",
+    "plt.plot(date, capital);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We also have a class that parametrizes the straddle (long or short)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from backtester.strategy import Straddle"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "std = Straddle(schema, 'long', 'SPX', dte_entry_range=(61,90), dte_exit=60, atm_pct=(0.05, 0.05), exit_thresholds=(float('inf'), float('inf')))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "*atm_pct* is the distance between the strike and the spot in percentage. For instance (0.05, 0.05) means we pick contracts for which the strike is within 5% of the spot price."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "bt = Backtest(capital = 0)\n",
+    "bt.strategy = std\n",
+    "bt.data = data\n",
+    "bt.stop_if_broke = False"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "0% [██████████████████████████████] 100% | ETA: 00:00:00\n",
+      "Total time elapsed: 00:00:09\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th colspan=\"8\" halign=\"left\">leg_1</th>\n",
+       "      <th colspan=\"8\" halign=\"left\">leg_2</th>\n",
+       "      <th>totals</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th>contract</th>\n",
+       "      <th>underlying</th>\n",
+       "      <th>expiration</th>\n",
+       "      <th>type</th>\n",
+       "      <th>strike</th>\n",
+       "      <th>cost</th>\n",
+       "      <th>date</th>\n",
+       "      <th>order</th>\n",
+       "      <th>contract</th>\n",
+       "      <th>underlying</th>\n",
+       "      <th>expiration</th>\n",
+       "      <th>type</th>\n",
+       "      <th>strike</th>\n",
+       "      <th>cost</th>\n",
+       "      <th>date</th>\n",
+       "      <th>order</th>\n",
+       "      <th>cost</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>SXY070217C01345000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-02-17</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1345.0</td>\n",
+       "      <td>8710.0</td>\n",
+       "      <td>2006-12-06</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>SXY070217P01345000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-02-17</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1345.0</td>\n",
+       "      <td>880.0</td>\n",
+       "      <td>2006-12-06</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>9590.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>SXY070217C01345000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-02-17</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1345.0</td>\n",
+       "      <td>-8000.0</td>\n",
+       "      <td>2007-01-03</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>SXY070217P01345000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-02-17</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1345.0</td>\n",
+       "      <td>-460.0</td>\n",
+       "      <td>2007-01-03</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>-8460.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>SXY070317C01355000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-03-17</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1355.0</td>\n",
+       "      <td>8120.0</td>\n",
+       "      <td>2007-01-03</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>SXY070317P01355000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-03-17</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1355.0</td>\n",
+       "      <td>1190.0</td>\n",
+       "      <td>2007-01-03</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>9310.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>SXY070317C01355000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-03-17</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1355.0</td>\n",
+       "      <td>-9660.0</td>\n",
+       "      <td>2007-02-01</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>SXY070317P01355000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-03-17</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1355.0</td>\n",
+       "      <td>-200.0</td>\n",
+       "      <td>2007-02-01</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>-9860.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>SXZ070421C01485000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-04-21</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1485.0</td>\n",
+       "      <td>1300.0</td>\n",
+       "      <td>2007-02-01</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>SXY070421P01375000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2007-04-21</td>\n",
+       "      <td>put</td>\n",
+       "      <td>1375.0</td>\n",
+       "      <td>750.0</td>\n",
+       "      <td>2007-02-01</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>2050.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>154</th>\n",
+       "      <td>SPX150821C02010000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>call</td>\n",
+       "      <td>2010.0</td>\n",
+       "      <td>12220.0</td>\n",
+       "      <td>2015-06-01</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>SPX150821P02010000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>put</td>\n",
+       "      <td>2010.0</td>\n",
+       "      <td>2670.0</td>\n",
+       "      <td>2015-06-01</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>14890.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>155</th>\n",
+       "      <td>SPX150821C02010000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>call</td>\n",
+       "      <td>2010.0</td>\n",
+       "      <td>-8640.0</td>\n",
+       "      <td>2015-07-01</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>SPX150821P02010000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-08-21</td>\n",
+       "      <td>put</td>\n",
+       "      <td>2010.0</td>\n",
+       "      <td>-2470.0</td>\n",
+       "      <td>2015-07-01</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>-11110.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>156</th>\n",
+       "      <td>SPX150918C01975000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1975.0</td>\n",
+       "      <td>12530.0</td>\n",
+       "      <td>2015-07-01</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>SPX150918P02015000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>put</td>\n",
+       "      <td>2015.0</td>\n",
+       "      <td>3980.0</td>\n",
+       "      <td>2015-07-01</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>16510.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>157</th>\n",
+       "      <td>SPX150918C01975000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>call</td>\n",
+       "      <td>1975.0</td>\n",
+       "      <td>-12330.0</td>\n",
+       "      <td>2015-08-03</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>SPX150918P02015000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-09-18</td>\n",
+       "      <td>put</td>\n",
+       "      <td>2015.0</td>\n",
+       "      <td>-1390.0</td>\n",
+       "      <td>2015-08-03</td>\n",
+       "      <td>STC</td>\n",
+       "      <td>-13720.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>158</th>\n",
+       "      <td>SPX151016C02000000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-10-16</td>\n",
+       "      <td>call</td>\n",
+       "      <td>2000.0</td>\n",
+       "      <td>11360.0</td>\n",
+       "      <td>2015-08-03</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>SPX151016P02000000</td>\n",
+       "      <td>SPX</td>\n",
+       "      <td>2015-10-16</td>\n",
+       "      <td>put</td>\n",
+       "      <td>2000.0</td>\n",
+       "      <td>2360.0</td>\n",
+       "      <td>2015-08-03</td>\n",
+       "      <td>BTO</td>\n",
+       "      <td>13720.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>159 rows × 17 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  leg_1                                               \\\n",
+       "               contract underlying expiration  type  strike     cost   \n",
+       "0    SXY070217C01345000        SPX 2007-02-17  call  1345.0   8710.0   \n",
+       "1    SXY070217C01345000        SPX 2007-02-17  call  1345.0  -8000.0   \n",
+       "2    SXY070317C01355000        SPX 2007-03-17  call  1355.0   8120.0   \n",
+       "3    SXY070317C01355000        SPX 2007-03-17  call  1355.0  -9660.0   \n",
+       "4    SXZ070421C01485000        SPX 2007-04-21  call  1485.0   1300.0   \n",
+       "..                  ...        ...        ...   ...     ...      ...   \n",
+       "154  SPX150821C02010000        SPX 2015-08-21  call  2010.0  12220.0   \n",
+       "155  SPX150821C02010000        SPX 2015-08-21  call  2010.0  -8640.0   \n",
+       "156  SPX150918C01975000        SPX 2015-09-18  call  1975.0  12530.0   \n",
+       "157  SPX150918C01975000        SPX 2015-09-18  call  1975.0 -12330.0   \n",
+       "158  SPX151016C02000000        SPX 2015-10-16  call  2000.0  11360.0   \n",
+       "\n",
+       "                                   leg_2                                     \\\n",
+       "          date order            contract underlying expiration type  strike   \n",
+       "0   2006-12-06   BTO  SXY070217P01345000        SPX 2007-02-17  put  1345.0   \n",
+       "1   2007-01-03   STC  SXY070217P01345000        SPX 2007-02-17  put  1345.0   \n",
+       "2   2007-01-03   BTO  SXY070317P01355000        SPX 2007-03-17  put  1355.0   \n",
+       "3   2007-02-01   STC  SXY070317P01355000        SPX 2007-03-17  put  1355.0   \n",
+       "4   2007-02-01   BTO  SXY070421P01375000        SPX 2007-04-21  put  1375.0   \n",
+       "..         ...   ...                 ...        ...        ...  ...     ...   \n",
+       "154 2015-06-01   BTO  SPX150821P02010000        SPX 2015-08-21  put  2010.0   \n",
+       "155 2015-07-01   STC  SPX150821P02010000        SPX 2015-08-21  put  2010.0   \n",
+       "156 2015-07-01   BTO  SPX150918P02015000        SPX 2015-09-18  put  2015.0   \n",
+       "157 2015-08-03   STC  SPX150918P02015000        SPX 2015-09-18  put  2015.0   \n",
+       "158 2015-08-03   BTO  SPX151016P02000000        SPX 2015-10-16  put  2000.0   \n",
+       "\n",
+       "                               totals  \n",
+       "       cost       date order     cost  \n",
+       "0     880.0 2006-12-06   BTO   9590.0  \n",
+       "1    -460.0 2007-01-03   STC  -8460.0  \n",
+       "2    1190.0 2007-01-03   BTO   9310.0  \n",
+       "3    -200.0 2007-02-01   STC  -9860.0  \n",
+       "4     750.0 2007-02-01   BTO   2050.0  \n",
+       "..      ...        ...   ...      ...  \n",
+       "154  2670.0 2015-06-01   BTO  14890.0  \n",
+       "155 -2470.0 2015-07-01   STC -11110.0  \n",
+       "156  3980.0 2015-07-01   BTO  16510.0  \n",
+       "157 -1390.0 2015-08-03   STC -13720.0  \n",
+       "158  2360.0 2015-08-03   BTO  13720.0  \n",
+       "\n",
+       "[159 rows x 17 columns]"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bt.run(monthly=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 248,
+       "width": 405
+      },
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "capital = (-bt.trade_log['totals']['cost']).cumsum()\n",
+    "date = bt.trade_log['leg_1']['date']\n",
+    "plt.plot(date, capital);"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
diff --git a/data_cleanup.ipynb b/data_cleanup.ipynb
index 20f454e..d9da285 100644
--- a/data_cleanup.ipynb
+++ b/data_cleanup.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 77,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [