diff --git a/README.md b/README.md
index 156192891..d304fd411 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,6 @@
-
+
EVA Video Database System: Where SQL meets Deep Learning
diff --git a/api-docs/index.rst b/api-docs/index.rst
index 7e14d41f2..46bf646fa 100644
--- a/api-docs/index.rst
+++ b/api-docs/index.rst
@@ -64,4 +64,4 @@ Starting EVA
.. |Discuss| image:: https://img.shields.io/badge/-Discuss!-blueviolet
:target: https://github.com/georgia-tech-db/eva/discussions
.. |Python Versions| image:: https://img.shields.io/badge/Python--versions-3.7+-brightgreen
- :target: https://github.com/georgia-tech-db/eva
\ No newline at end of file
+ :target: https://github.com/georgia-tech-db/eva
diff --git a/docs/Logo.png b/docs/Logo.png
deleted file mode 100644
index 15ce6c4f5..000000000
Binary files a/docs/Logo.png and /dev/null differ
diff --git a/docs/eva-banner.png b/docs/eva-banner.png
new file mode 100644
index 000000000..4117faa35
Binary files /dev/null and b/docs/eva-banner.png differ
diff --git a/docs/eva-logo.png b/docs/eva-logo.png
new file mode 100644
index 000000000..d836e057d
Binary files /dev/null and b/docs/eva-logo.png differ
diff --git a/eva/version.py b/eva/version.py
index cbbdef3e1..41e95b353 100644
--- a/eva/version.py
+++ b/eva/version.py
@@ -15,7 +15,7 @@
_MAJOR = "0"
_MINOR = "1"
-_REVISION = "0"
+_REVISION = "1+dev"
VERSION_SHORT = f"{_MAJOR}.{_MINOR}"
VERSION = f"{_MAJOR}.{_MINOR}.{_REVISION}"
diff --git a/tutorials/00-start-eva-server.ipynb b/tutorials/00-start-eva-server.ipynb
index 220a33963..13ffc2995 100644
--- a/tutorials/00-start-eva-server.ipynb
+++ b/tutorials/00-start-eva-server.ipynb
@@ -29,10 +29,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2022-11-03T06:59:05.922060Z",
- "iopub.status.busy": "2022-11-03T06:59:05.921604Z",
- "iopub.status.idle": "2022-11-03T06:59:16.642091Z",
- "shell.execute_reply": "2022-11-03T06:59:16.640447Z"
+ "iopub.execute_input": "2022-11-12T17:08:23.351310Z",
+ "iopub.status.busy": "2022-11-12T17:08:23.350719Z",
+ "iopub.status.idle": "2022-11-12T17:08:33.971488Z",
+ "shell.execute_reply": "2022-11-12T17:08:33.969779Z"
}
},
"outputs": [
@@ -118,7 +118,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.8.10"
+ "version": "3.10.8"
},
"vscode": {
"interpreter": {
diff --git a/tutorials/01-mnist.ipynb b/tutorials/01-mnist.ipynb
index d7d9d5b97..71de1f9bb 100644
--- a/tutorials/01-mnist.ipynb
+++ b/tutorials/01-mnist.ipynb
@@ -42,10 +42,10 @@
"id": "b6b7f61d",
"metadata": {
"execution": {
- "iopub.execute_input": "2022-11-03T07:07:43.181435Z",
- "iopub.status.busy": "2022-11-03T07:07:43.180831Z",
- "iopub.status.idle": "2022-11-03T07:07:57.446918Z",
- "shell.execute_reply": "2022-11-03T07:07:57.445317Z"
+ "iopub.execute_input": "2022-11-12T17:08:35.277942Z",
+ "iopub.status.busy": "2022-11-12T17:08:35.277282Z",
+ "iopub.status.idle": "2022-11-12T17:08:48.881983Z",
+ "shell.execute_reply": "2022-11-12T17:08:48.880698Z"
}
},
"outputs": [
@@ -100,10 +100,10 @@
"id": "c2fc6c0f",
"metadata": {
"execution": {
- "iopub.execute_input": "2022-11-03T07:07:57.452714Z",
- "iopub.status.busy": "2022-11-03T07:07:57.452152Z",
- "iopub.status.idle": "2022-11-03T07:07:58.588489Z",
- "shell.execute_reply": "2022-11-03T07:07:58.586780Z"
+ "iopub.execute_input": "2022-11-12T17:08:48.885788Z",
+ "iopub.status.busy": "2022-11-12T17:08:48.885302Z",
+ "iopub.status.idle": "2022-11-12T17:08:50.107621Z",
+ "shell.execute_reply": "2022-11-12T17:08:50.105979Z"
}
},
"outputs": [
@@ -145,10 +145,10 @@
"id": "130b8561",
"metadata": {
"execution": {
- "iopub.execute_input": "2022-11-03T07:07:58.594249Z",
- "iopub.status.busy": "2022-11-03T07:07:58.593915Z",
- "iopub.status.idle": "2022-11-03T07:07:58.717207Z",
- "shell.execute_reply": "2022-11-03T07:07:58.716343Z"
+ "iopub.execute_input": "2022-11-12T17:08:50.113246Z",
+ "iopub.status.busy": "2022-11-12T17:08:50.112918Z",
+ "iopub.status.idle": "2022-11-12T17:08:50.203075Z",
+ "shell.execute_reply": "2022-11-12T17:08:50.201791Z"
}
},
"outputs": [
@@ -156,26 +156,16 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "@status: 0\n",
- "@batch: Batch Object:\n",
- "@dataframe: 0\n",
+ "@status: ResponseStatus.SUCCESS\n",
+ "@batch: \n",
+ " 0\n",
"0 Table Successfully dropped: MNISTVid\n",
- "@batch_size: 1\n",
- "@identifier_column: None\n",
- "@query_time: 0.033968763425946236\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "@status: 0\n",
- "@batch: Batch Object:\n",
- "@dataframe: 0\n",
+ "@query_time: 0.03111536242067814\n",
+ "@status: ResponseStatus.SUCCESS\n",
+ "@batch: \n",
+ " 0\n",
"0 Video successfully added at location: mnist.mp4\n",
- "@batch_size: 1\n",
- "@identifier_column: None\n",
- "@query_time: 0.05823257379233837\n"
+ "@query_time: 0.043151989579200745\n"
]
}
],
@@ -202,10 +192,10 @@
"id": "bef7026f",
"metadata": {
"execution": {
- "iopub.execute_input": "2022-11-03T07:07:58.721816Z",
- "iopub.status.busy": "2022-11-03T07:07:58.721552Z",
- "iopub.status.idle": "2022-11-03T07:07:58.738355Z",
- "shell.execute_reply": "2022-11-03T07:07:58.737516Z"
+ "iopub.execute_input": "2022-11-12T17:08:50.206163Z",
+ "iopub.status.busy": "2022-11-12T17:08:50.205911Z",
+ "iopub.status.idle": "2022-11-12T17:08:50.230241Z",
+ "shell.execute_reply": "2022-11-12T17:08:50.229117Z"
}
},
"outputs": [
@@ -245,10 +235,10 @@
"id": "e83e5a44",
"metadata": {
"execution": {
- "iopub.execute_input": "2022-11-03T07:07:58.743278Z",
- "iopub.status.busy": "2022-11-03T07:07:58.743012Z",
- "iopub.status.idle": "2022-11-03T07:07:58.782436Z",
- "shell.execute_reply": "2022-11-03T07:07:58.781233Z"
+ "iopub.execute_input": "2022-11-12T17:08:50.234125Z",
+ "iopub.status.busy": "2022-11-12T17:08:50.233848Z",
+ "iopub.status.idle": "2022-11-12T17:08:50.266383Z",
+ "shell.execute_reply": "2022-11-12T17:08:50.265423Z"
}
},
"outputs": [
@@ -256,13 +246,11 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "@status: 0\n",
- "@batch: Batch Object:\n",
- "@dataframe: 0\n",
+ "@status: ResponseStatus.SUCCESS\n",
+ "@batch: \n",
+ " 0\n",
"0 UDF MnistCNN already exists, nothing added.\n",
- "@batch_size: 1\n",
- "@identifier_column: None\n",
- "@query_time: 0.024132004007697105\n"
+ "@query_time: 0.02193857543170452\n"
]
}
],
@@ -291,10 +279,10 @@
"id": "91bdcaca",
"metadata": {
"execution": {
- "iopub.execute_input": "2022-11-03T07:07:58.786148Z",
- "iopub.status.busy": "2022-11-03T07:07:58.785711Z",
- "iopub.status.idle": "2022-11-03T07:08:00.099211Z",
- "shell.execute_reply": "2022-11-03T07:08:00.098459Z"
+ "iopub.execute_input": "2022-11-12T17:08:50.269640Z",
+ "iopub.status.busy": "2022-11-12T17:08:50.269268Z",
+ "iopub.status.idle": "2022-11-12T17:08:53.679346Z",
+ "shell.execute_reply": "2022-11-12T17:08:53.678284Z"
}
},
"outputs": [
@@ -302,15 +290,19 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Batch Object:\n",
- "@dataframe: mnistvid.data mnistcnn.label\n",
- "0 [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], ... 6\n",
- "1 [[[2, 2, 2], [2, 2, 2], [2, 2, 2], [2, 2, 2], ... 2\n",
- "2 [[[13, 13, 13], [2, 2, 2], [2, 2, 2], [13, 13,... 3\n",
- "3 [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], ... 7\n",
- "4 [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], ... 5\n",
- "@batch_size: 5\n",
- "@identifier_column: None\n"
+ " mnistvid.data \\\n",
+ "0 [[[ 0 0 0]\\n [ 0 0 0]\\n [ 0 0 0]\\n [ 0 0 0]\\n [ 0 0 0]\\n [ 0 0 0]\\n [ 0 0 0]\\n [ 0... \n",
+ "1 [[[2 2 2]\\n [2 2 2]\\n [2 2 2]\\n [2 2 2]\\n [2 2 2]\\n [2 2 2]\\n [2 2 2]\\n [2 2 2]\\n [2 2 2]\\n [2 2... \n",
+ "2 [[[13 13 13]\\n [ 2 2 2]\\n [ 2 2 2]\\n [13 13 13]\\n [ 6 6 6]\\n [ 0 0 0]\\n [ 5 5 5]\\n [22... \n",
+ "3 [[[ 0 0 0]\\n [ 0 0 0]\\n [ 0 0 0]\\n [ 0 0 0]\\n [ 0 0 0]\\n [ 0 0 0]\\n [ 1 1 1]\\n [ 3... \n",
+ "4 [[[ 0 0 0]\\n [ 0 0 0]\\n [ 0 0 0]\\n [ 0 0 0]\\n [ 0 0 0]\\n [ 0 0 0]\\n [ 0 0 0]\\n [ 0... \n",
+ "\n",
+ " mnistcnn.label \n",
+ "0 6 \n",
+ "1 2 \n",
+ "2 3 \n",
+ "3 7 \n",
+ "4 5 \n"
]
}
],
@@ -336,16 +328,16 @@
"id": "d8f4f65d",
"metadata": {
"execution": {
- "iopub.execute_input": "2022-11-03T07:08:00.103962Z",
- "iopub.status.busy": "2022-11-03T07:08:00.103714Z",
- "iopub.status.idle": "2022-11-03T07:08:00.987468Z",
- "shell.execute_reply": "2022-11-03T07:08:00.986765Z"
+ "iopub.execute_input": "2022-11-12T17:08:53.682701Z",
+ "iopub.status.busy": "2022-11-12T17:08:53.682451Z",
+ "iopub.status.idle": "2022-11-12T17:08:54.517890Z",
+ "shell.execute_reply": "2022-11-12T17:08:54.517069Z"
}
},
"outputs": [
{
"data": {
- "image/png": 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KnLWgJckvZ3vnQrPSf62P//liWZiAP//zP0c0GsXXvvY1jI+P46KLLsIzzzwzw1lwJSFycABY+IpWx4rXaE1Y8fzZUEv9z9vwtSbZfCcenfMP//APTUV/vm1a0GKemmVCzdfOSW3/p3/6J3z2s59tGvrzqJe+ouaKVyETePtoM/TZaqC/FmhdIYezpdpYxOvna1qc63610Mz0X8vjf75oulLC6XQaHo9nSe4lbrZ6vR5Go1HlYEd/ebUcOQ7y9+Edd3gbEZkRFEVBuVzG1NSUZju0PryjIQ0icUBpMQGzTWC6VyqVWpBajei/HKquepkAUTtSDxbbVi2NjFYb6nkO9dti+2C5INqbZ0MoFEJnZyesVivcbjd8Ph90Oh3y+TxyuRzK5TJGRkYwPj7OvNfnuudyY6nmwHKBNwPS+sGvO/zaAGhrDLS0kfy6Qv/T80wmk+q5wFkpd2pqakZ/aTEg82FK6Pdmpb8c/2o0PDpgJVGtVtkmrSWR02ZeCzSJTCYTzGYzdDodzGYzzGYzpqenkU6nZzAQdH8R/EQnbUS9E0/k5NeCXYogvtdK86jNpIFYLvAaqNmg1+sRDodx1VVXwe/3o7u7G5s2bYJer8f4+DjGx8eRTqfx8ssvI5VKsTDbRi+CzQ6eATCbzTAYDCxqSVwL5mL4xf/5NYw3aVYqlRnaztnMmmsZcvyrsW6YAHFiiNz2fCRfnmngP0u5Gc/HDLBY9V6zYD7vQO8sXlOviq+e/xeyQK6WftCyZ2rBbDbD7XbD6/UiEAigtbUVBoOBbSwmkwkOhwMmk0nFZEvUB9HODNQ2Q9Yap7XWMdHxWPzwoM2LfKXIR4pvjxZWK8Mgx/85rFkmYL6LMa/e15oANDkIxFlPT08zlRqvWpuLqeA5Rn4C1qN2Wy0bTb2Y7X20fuPpYjKZYDKZmDlGTKhU6368fY93BiXHUQDMvDMfJqvZF0WR+Z3tHD5qRq/Xw2w2w+FwwGw2AwCcTidSqRROnz6NkZER5HI5jI+PqxK/SMwESfvA2UQ5vG+SGMsvrgt03GKxMC2Cx+OBy+WCoigoFAoolUowm83w+XxwOBywWCzw+XywWq0wm81wOp0wmUwAzs2HZDKJaDSKYrGIsbExDA4OsvFfLpcBNP/Yrgdy/M/EmmQC5rtJiuYA4vREtTxtMHx2qKmpKRZtUC6XVY6GWip7XsrUSjikpUpaK5v+fN5DpBcPYtLIHGO329lGLiaCqnVf3k46PT3NFjqDwQCr1cokBOLs14q2BYBqrGuFt5LvDIXT0iJosVjgdDphtVrhcrkQDoeRSqVw8uRJDA0NIZVKIZvNIpFIrIkNY7nA+x/RGiA6nfFjjTcxksrfYrHA5XLBarWiq6sL7e3tqFQqiMViSKfTcDgc2Lx5M0KhEFwuF3p6euDz+eB0OhEKhWC329lzFUXB4OAgDh8+jHQ6jX379iGdTiOTyUBRFJRKpbrME6sFcvyrsSaZAEItW3yt32ptHqLKqJZNnjcL8I6EWs8XJX4t+57Ws2qhXqedZsBCFhL+GlosaSM3m82oVquwWCw1aSk6XBmNRpjNZtZHJPHPhnodG1dDH/Dgxy9wVgVqsVhgMplgt9thtVrZ/3y6VACq/BprYYMQsVLvRGOST+wDgDG2dA797na74fF4YLFY4PV64fV6GSNsNBrhcDjg8/ng8/ngcrnYd6fTCb/fD7vdruqzdDoNt9uNarUKq9U6o19X25ieD9b7+F/TTAAPcaPmj/MSH68a5iV6fnPhOUSbzQar1co0AbzkqAWS9MkzdzaplbDapVAthom+i7Ql8JoRWiCJ5mazGSaTCUajEV6vF263m5lmKpUKYw7ItENmAkoByve/oiiIxWIYHh5GsVhkqVQBaDp5rgVoqZdpwTOZTGhpaUFPTw+cTifOP/98XHLJJcwmSjQl7+hEIoGRkREMDQ0hm80il8utSZotBLVs+GJtEACw2Wzw+/2wWCyw2+3w+XxsrNL5TqcTLpcLBoMBNpsNNpsNJpMJPp+PRfTwjABpCohRsFqtzCQgmh3MZjNsNhvK5TJsNhssFgssFgszB/AJjFY75PhXY80yAVoSP00ocRMgJkAc4DxHzt+XpE+DwQCn0wmHw8HUZuQhyieZoOuIqxezgtVqO4/VygjwC43IAIi1ELT8MIg+ZPs3Go1wOp3MrhkMBuH1elXhn0ajEXa7HWazGVNTU8hmsyiXyzAajayAFPlykG/H2NgYM/nQ83kfkLUEkd7AOQcoq9WKnp4eXH755QgEAujt7cWFF14Ip9PJzq1UKshkMojFYojH4xgbG8PIyAgKhQLy+XwjXqnpUMscyDOo9L9Op4Pb7UZbWxucTicCgQC6urrYGLZarTAajWhpaUFbWxubB1TQjGeKXS4XM4+VSiVVNBQA1drFM+Emk4kxAcQ4UOSTyWRi4W/1CC3NDjn+1VgzTEC9KnOx83mOkPcNIOmTj6+lvxaLhanMXC4XHA4HqtUqcrkcCoWCKrUwcM65hz9Wy0N3NrVyPZNvJSdovY6L9F5ajIyW/4QWbDYbHA4HjEYj3G43XC4Xc37y+XxMO0POPCQlTU9Pw2w2MybAZrOxkCyS/J1OJ2w2G9PMLCTxR7MvjFp9wv/Gm0hsNhtTN5MjFL8RkHYln88jn8+jVCqx481Oh/lgKVS8WuOdFy7oGSSJkrTv9XoZE0DFf2itoQ2fCtsQQ0Dj22q1Mo0WX3yI92syGo0qoSSRSCCdTiObzaJYLM6oRVCLFqvFDCbHf22sGSZABL/x8MdqbUTEVZM6jiYdqeWcTifcbjfbhOi7w+GAw+FAsVjEwMAAJiYmWKQADRqSRPP5PCYnJ9lE5PMErAU1mxZq+SrwWhlaAGkTJ8aLJqTBYIDX64Xf74fZbIbf71d993q9rEw0eT3zjBdNUvKMNhqNyOfzSCQSKBaLcDgcyOfzSCaTSCQSiEajdfkINBNqaY+0ztGSUM1mM1wuF1wuF1pbW7F582a0trYyOpO5pVAooFwuY3R0FP39/Ugmk5icnJyzeNZaB+/rM9d5pGonKIoCv9+Pvr4+tLS0MPqThpFMYlarlc0HMgfwXuy0mZXLZRQKBYyMjCAej7N+I5MY+cKk02mMj4+jUCggk8kgHo+jWCxiaGgIyWQSxWKxZvKzenynVhJy/C8ca5YJAOqXpPmqWna7HV6vF2azGcFgEB0dHbBarQgGg2hra4PZbEYgEEAgEGBMgM1mQy6Xw/79+3Hy5Elm75+enkaxWMTk5CRyuRyMRiNSqRR7rhiFMFsbVytqvRs/IWkCkgqSFjqn0wmPxwOz2cxUoRaLBaFQCKFQiGkCPB4PWxgtFguz2ZEtk0wzVKjEbDYjlUphbGwM+XwelUoFY2NjmJycZD4Cq2VCz1dSreWfQWPZ5XIhEAigs7MT4XBYxVgRQ1UoFBCNRjEwMIBUKoVkMrlqpaDFopbdX+s3OkZjnPdOd7vd6OrqQmdnJ9ra2rBlyxY4nU6USiWVZA6cZaBJa8A7EpLwQZtVNBrF6OgoyuUyUqkUC0ckhmF8fBxHjhxhSc5ovmSzWWSzWZUJgG+/loAl/r5SkON/8WhqJmA+3PV87kffSRKnlJAkKQYCAVgsFgSDQbS2tsJqtaqkT7fbzSRXsp9VKhWmLSA1G21GZCIolUpMlcdvgiSxamG1DiwRZHd0Op1MvUl/bTYbfD4fYwJIE+NwOOB2u2EymZjETzZSoh+p9cljl2z9qVSK2eeIhlarFcBZrr9UKrH+c7lcaGlpYUyaxWKZYdJpRsy14WiNHV4Txn/nzV+8zVnMY0/am3K5zDaLYrE4I8HMWsB8zAE8TUW68sdprk9NTbFwVNI6koaRVNBGoxHFYpFJ5LQpA0CxWEQ+n1clKyPfpkqlgnQ6jWg0ikgkgnK5jEwmg1KppFr3YrEYC2vjU96SGUEMk+bfVUujutJ9L8f/0qCpmYB6MNckFX/n7f3kDRoMBtHX1wev1wufz4dwOMy8dUn659VvfCggDRiDwYDu7m7Y7XbV4EqlUrDZbIjFYrBYLMhmszAajZiamkKhUFCpq1fjAJoLvGTg8Xhw2WWXYdOmTTOYANrgeU2AyWRSnUOxzWSLI5U+0ZsmaC6Xw+nTpxGNRlX9TH1qtVrh9XrR3t4Or9eLvr4+2O125HI5OJ1Otjjmcjlks9mm7JfZFkAtaU3UyNBvZIbS6/VwOBws8QxpVRRFYc6uOp0ODocDAJDJZHDixAmkUilMTEwgm82uObPWYnwCFEXRzP9PTmX5fB5erxcbN25EIBDAli1bsGPHDnR1dcFqtcLpdMJgMDA653I5ZDIZpFIp5v2vFWVAfzOZDPr7+zE2NsY0A2Tios2qUCgglUqpfGF4ZoWOacXSN1L1T8/X+k7/y/FfP1Y1E7AQVRC/eVM2rVAohK1btyIUCiEYDKKnpwcOhwNerxehUEjlHAic5cIpgQbvTNjS0sLib2lDmpycZBO3Wq3C5XIx1RtJrnxe77UMu92O8847D7t372ZMAEnjpPY3mUyqOGXei1qv16NSqWB4eBjJZJJ5/ufzedUkTyaTeOeddzA0NMT8BoiJCAaDsNls2LhxIzo6OphmIhAIoFQqYWJiAm+88QbT5jRjyE+tBVD8XsscJkpDtGGR86XNZmN9QSFipMmhiIt8Po/R0VGkUimkUikUi8UZG5/EzDWKV7GT6rmrqwvd3d3YsGEDurq6WD9Vq1WWwS+VSiEWi2FiYmJGbXv+WRR5kMlkcOzYMVbYhjQE5NQ2m/MrOcjR7/yHH1eNYgTk+F9arAomYD5E5Qco/a/lwarX62G1WmG32+FyueDxeFhiDavVyjzLE4kE23xoIyc7HW3iNCmLxSLK5TKL3SW1tt1uh9vtRj6fZ5saz2VTe0Q7dLNtPnOBmCHiqun9iatub29HW1sbPB6PKlSK7JnlchmlUgmZTIbdk8IIaQGbnp7G2NgYk3C0wjIzmQwSiQSy2SzzoCazjKIozMFqbGyMmWjIWYoysZEjZ7NPaJ4RBWovhLzEyEe7kKaFTF9tbW3M0VKcS6VSCfl8HplMBrlcTlX0Rnz2WkC9mgCtzUZLA8lL18C57JSUkIbWBtpkyuUyYrEYIpEIUqkUJicnmaMfv1bwuU94bRhJ/3wUAGkBaq0t9M7iRjkbjcRxMtc1Swk5/hePVcEE1AstlY8I6jCj0YhQKIRAIIDNmzfjvPPOQzgcZvmh9Xo9otEoDh48iFKphGw2i3Q6jUqlwjQB09PTiMfjSCaTbOMj/4E9e/Zg48aNMJlMCIfDbGAdO3aMbViUXKhSqTD1npYzzmoBH6a0fft2bNq0CW63G9u2bUNnZydsNhtaW1vhdrtV0kWhUEAikUCpVEI8HsfQ0BDbsGljT6fTSCQSmJqaQiKRQDKZhKIozI+gWq2ycJ2pqSmk02kUCgVm+iGvaJfLBZPJhIGBAcTjcXi9XvT09OD888+H1WpFIBBAX18fgsEgKpUKotFoU/sFEGis0wLHL/S82Yr+1+l0cLlc6O7uhsfjQW9vL6699lp0dnbC7XazRDGKorBxGY1GWXrUM2fOIJ1OI5fLoVKpqJjb9QhR7cxv9vwYJMGhWq3CbrezUrXBYJBJ34lEAidOnEA6ncaBAwfw8ssvI5lMIpPJsDWInkHCDF1L84X3i+HbIqqstTZQLT+G2dBo0wC1AZDjfyFYM0zAXE4g9D/v4OFyueD3+5nnf3t7u4oTLhQKGBwcZBtQNBpl0idJoCMjI4hEIoyp8Pl8aG9vR19fH6rVKivw4XA4EI/HWbEb4s5pw6cFYjXalAiUqMdqtSIcDmPbtm0IBAK46qqrsH37dijKOcclPoyS7G7ZbBaRSATHjx9nHstkLolEIhgbG0O5XGa2er1ez2x45AwlOgPyNCX/AAoRpL4xmUzYunUrY+TIBDQ4OLiquHte2tHpdKqcFJRHgX8fu92OtrY2tLS0YNOmTdi6dSu6urrYOWIxrGw2i5GRESQSCUxOTrJwKdqMtOyv6wlaGybvr0I1RugYMaVerxcOh4NtJPl8HmNjY4jH4zhz5gxOnTqFRCLB/GD4NYLXutE84guaiQyslgmB3/xF6Z//W69GoFGQ439hWDNMgBZmW8ArlQoKhQJyuRySySRGR0dVdrZqtYrBwUGMjo4yDjyRSDC1NNnZ+KxzfDIJGnj85KfiExaLhfkU0LnEwRLXuVBmYCUHIE9fg8EAv9+PQCAAl8uF9vZ2BINBeDweAEA2m8XU1BQLlyyXy0in08xzeXx8HPl8HrFYDNFolC12JDXlcjkm5fOVAvnQJp7pE1Wa1EbqD4fDgdbWVhbuSaFAfMKhZrXv8X2spYLVUufyxWrouMlkQltbGzZs2ID29nbGIPESYLlcZmau8fFxFkNOYVFifPRqWwCXAnwGUn7uiowoxftT3DmZyaxWK/R6PQqFAoxGI+LxOEZHRxGNRjE5Ocm89fln8XTmC2dp+QoAaklZS1rmz5lrzDdC7c9Djv+lxZplAuYayLQhUUgZcNZ7nd/Ih4eHceLECaZmLhaLAM4VmODj0clMQNwh2ZsoLM5kMiGVSjG/A7qGyn7yxWx4lV0t55Za/9c6tlwgLtlisWDr1q24+OKL4Xa7sWXLFmzYsIHV2SbJZt++fRgaGkI6nWZxtpRPgbf7i57K5B3N2zUBqCqc8Wo5kR6KorBoA7PZjLa2NlxyySXo6OhgGhxySqRkLmLBkGae4PyiR+3lF0FinnhJyel0Ys+ePdi1axcLk6RxTXMgmUyyvOhvvPEGXnrpJZZkhvpMC83IPC0XKJIFOFt+mqRD/kObtMlkYt7ngUAAPp8PXq+Xbf6pVAr9/f149dVXWe4KYpar1SrTJPLMBnn/8xA3Sj6fANnBSau52m3agBz/i8GaYQJqEV08Tv+TJoAmh9VqZU43tEGPj49jeHiYhfLRIKI0wbzKTafTqdTXZAcUy08S909pO2lD4yepVm0DLdTye1jpzYreNRAIMD8A2lzJrEIZyU6fPo1jx44hHo/jyJEjmJycVN2LsgeKFRj5iAwC71shqgJ58CYg8ltwOp1ob29HV1cXyxlOzoqkDWhWTYAIccGfzRcGOGc3JX+Vvr6+GcWV+Hh02pxGR0cxMDDAQty0EsmI6uTVQL/FQoxiIYjSOnAudz+FHPMFyMiUFYvFMDQ0hJGRETbuSYsg1tuge/O/azn08esLn6uE+lnEbGtIszHDcvwvDmuGCagXfEdR8gwaEJRzmzb2eDzOJHvivEntr5Vbm0JrqECH1ibCZ7DjITrh8DY2fmDx92sGOxyF3jkcDmYOsFqtyOfzGBwcxNTUFCKRCNLpNOLxOAYGBhCJRJDJZFTFTfgyqrxakz5Ee6C2NkSLFrzkQ/kgfD4f81egegR8iud4PI54PI5cLtf06UBFiUdrHAHnNgGz2QyPxwObzYb29na2AYkbFo3TVCqFwcFBJBIJxGIxZm/WMldpLXy1GNW1DC27Oq+Nam9vR2trKzo7O1kaa3KOLRaLiEQiyGazKu9+3reAvycwU8UvtoPXBABQhQvOZXasR/M42/Hlhhz/i8e6YAL4yUCbs6IojKNLJpOYmJhgoYDE4VHIGm9nI5ueGKZDKnG73a6S9nlnFNIc8HZtcQDzx2q9x2wg6XglQI557e3tcLvd2LhxIzZu3AgAOHHiBHOqPHToEM6cOcPSl1KqXlJh8g57vDmAt3UC5xg4MZMZzyiIixFfeOW8887Dn/3Zn6G3txdOpxMtLS0wm83MlFMulxGJRHD69OkZ4VjNDHp/og3f/3zRK6PRCI/Hg23btqG9vR0bN25kGS5FCZbio0dGRvCHP/wBkUiE+WrwG5NEbfCbMo1Ph8OBnTt3YseOHfB4PCwjKWnGYrEYjh8/jkgkgmQyya4lRll0bgPOVdgkswNt7rTO8cW1qtUqy2Aqas601qJ60OhxIMf/4rAumACCOOhpQwbOFZwRY2nFjtbr9TOkVLo3r2rjuXMtBxUtKV9rUGlpBPjfRKz0wKRUy1R8g5IhkUSTSCRw6tQpnDhxomZqTYoqILsqTTL+fF4VKi6uvFpU6/0p1bDf78fmzZtx/vnnq6Qqsu1RFsdMJoNMJsNyQawWaI1ZohuNTQqDbGtrQyAQgNlsnnEdP04pYmN8fBzZbLZmohqxHfU6ma0X8Bu53+9HR0cHMweQfT6ZTCIajSKZTKp8i/gNisYsbeg8c6C1JtGHry9AjDbNu/n2UbPOCTn+F4Y1zwSI6nUtL3L+PFGFr7Xx6vV6VQpOUg3ZbDZ4PB643W6WdYryTJMTjqLMTCdK7QKgaWoQ2zHbwGrUoKtWq0ilUhgZGUG5XMbp06dx/Phxll9BpDv/bvT+/MYvMkq0YAGYYcfkF1j6Syo/r9eLrVu3IhgMore3F263m11DUv7k5CQGBweRzWZx+vRpjI+Ps7TBqyVkU2Q06RhprsghtbW1FVu2bEFfXx88Hg90Oh0ymQxLjmU0GpHNZlkIFDmmaamn+YQqtdqzHkAaPgAzkvFQH5BgwKcjJwmdHIQpLTD5KpH/AEmxbrcbfr+fmbhofeH9Cmit4XNl0FgnLQBFHIioZW7j0awMgBz/C8eaZwKA2rGuojMZzzWSpEjf+fsAYN66fCwuDbKWlhbGCJDae3p6miXuoHvyDAANrFqVu0StgtYga6SPAMXyHz16FPl8Hm+99Rb++Mc/YmpqShXiRO0U26rlXEnnAlBpCniTB7/YkhbG5XKht7cXbW1taGtrw1VXXYXu7m44nU4Eg0EAUPXd0NAQXn31VcTjcRw8eBAnT55ELpdTZQNrZvDjg0woPD1sNhvC4TDa29vR2dmJq666ChdeeCEL04xGo6oyyzxTNDg4iFgsxkwjtNnxznD8/BLRrJvGUoLGLKAOEeTXFFLZO51OdHZ2ore3l5nHqBjQ5OQky0NP2QT5SpodHR3o7u5mSbeokqbL5YLT6YSiKCyMNp/Ps5j2QqGAWCzGwqHJFMqH19ZramxGyPG/OKwLJgCY2VFaEj6vDaBO5tVltGnzKYR5CZeK1FDaYV79Rhx6rYGiZeOuhVoMQCNBCxBl0UomkyyvAs+88BAdaHiTjKit0fqINOJNMiQ1tbS0IBwOo7u7m0Vr8LZDqg8wOTmJaDSKRCLBUq6uFoj0FRlISt1M6bGDwSBaWlqQzWaRyWRYdAVpt4rFIsuNkc1mWWIs3iFKy+lVNNPQMa3/tZjZuebGfOixFKh3DvJzVkvI4NcSigxwOp3MH4k2YwpDnp6eVhXQstvtLJ01pSMPhULo6OhgVU2dTicAsIqDxMQaDAbmyU5mB6vVyjQB1OfiXKuXDvw5jVqD5PifSY/5YN0wAbOBNh5+c+DV9uQHQJsTcYS8EwplDNy0aRMCgQDsdjuq1bN1BiYnJ5HJZDAxMcHSDIuZv3hHnrnaqjXhZuNGlwu8ml6v1yOTyWB0dBSFQgGlUglWq3VGzgPRI1nUiPDtp4WQ9wegfhHzAfCT0mw2o7W1FZs2bUIwGGTZ2Hj7aiaTwZkzZ5DNZtHf34/BwUHWN6tB+ufB+zfw9OMzOLa1tWHz5s1oa2tjldBMJhM8Hg+rllatnq3fMDExgf379yMajeLUqVPMkQyASjPGO5fxOS6oj4gR5hk3KhtN+RhI+uKlUj5CJxaLsXweotNXLVqsxBzQ0tTR+Kb5SfkmqG6Gz+dDT08PzGYzUzkfOXKEpaOlipUej4eZC7xeL3NgpU2MSgwPDw+r2kPaLaIlrTN0n2AwiEAgAJvNhkwmg2g0ihMnTrAoKb5oF+9oSJtjLbrya08jGAE5/tW0mO/4X9dMAD9gxeQ8vFlAtDdRDXt+0zKbzejq6sIFF1wAh8PBUtkWCgWMjY2xiT4xMYFYLMZyDxC0NkEe4iSstVGttPqJH+wURkNZtiifAu+xLEZaUJtp8eTjnUmzotfr2T34Cca/L68dsFgs6O7uxs6dO+F0OlkyFp4RiMfjeOuttxCJRHDq1CkcPXoU6XQamUxmVdQK4MEzRbRQ8FoRh8OBnp4eXHjhhcxnBTg7ZltaWlCtns3ISONycHAQL774IgYHB5HP51m9eXJAA9Rqb7PZrDpO51KVTp5RDAaD2Lp1K3w+H3w+H3OQo8Is5JyZy+VQLBZx6NAhFivPR+qsxGZT71wSVcPE0NM64Ha7sWPHDmzYsIFlpyT/mddffx2nTp1CLpdj1UaDwSDOO+88uN1uBAIBtLe3w2QyMbMBJTobHBxEqVRiGizen4b8EAwGA1paWrBr1y50dHSgUCigu7sbxWIRhw8fxvDwMFKpFDN9itU7KVPnfEwGjViD5PhfONY1EwDM5JxE1Z6Wml40A9CEI5UTJZ6hDZAmL2UXJG6d70wt1XYtNJsNiueiSZ1J3sdA7QQedK3Wd/46foMXGQh6BsUAkwcwLcDkfU33p8lLtdTj8TgzYfA119cCeCmF1Mo0Nmns0eLFp7EuFotIJpOIx+Oq/Bj8fQFtL2g+EQtVa+QZRbfbDZ/Ph0AgAL/fj9bWVtjtduRyOdhsNmbPtlqtKBaLbD6J824lNpt67l9LvUubEDn2OZ1O5pxGicIo0182m0W5XAYAVYIxt9vNwlsp8yb5FZEjYbFYZHVN+Nh/8imgDIU0PwAwp1mXy8UyY/J5TXiNWT3rkEiLZoEc//VhXTMBfIINXkLl42zpw6vFaJLpdDpWvIPy0Hu9Xuj1embfi0ajGBwcxMjICEZGRpiKbjYmoJZKpxEq/9mgKApSqRSGhoZYxASpsfL5PAuxEwevlimDjtOEBc7SgWyXYmglADap3G437HY7+vr60NHRgUAggB07diAUCrHFjeykxO0fP34c/f39iEajzGmKKkM2C33rBe8MRZoS0ZGUSiMbDAa24NAmZTAYUC6XkUgkWH10SpDFR2XQIknfebXo1NQUM8NQUafNmzejtbWVqWTJMY4WPnJ8I893ksrIPl4ul2E2m9kiSbHaVEmS1OeE2ZjN5QY/fskJ0O12IxgMwuv1oq2tDeFwmBUto/waF154IYLBIHMMLJVKsNvtzJk4Eong0KFDUJSzmTdp7aB+oiiAbDbL5ghtWpQBb2pqCu+88w5isRhcLhfC4TD8fj+KxSLe9a53YXJyErFYDCMjI6o0wkRbYlpoLvO/NQPk+D+LhY7/dcsE8BwvDWzRMY0/l88pwDv6UJa89vZ2loN+enoasViM5ZgeGBjAwMCAyvGsluOI1vGVsnPOF4qisBKn5E8hakwI/DtoMT50DdGVQivJ7CKeD5ztB6/Xy0qx3nDDDdi9ezesViu8Xi/sdjuTtsrlMiYnJ/H2228jFothYGAAhw4dYlkhqSToamUCRLOIKNGVSiXkcjno9Xpks1kWYkYqYCrjHIvFWFnn6elpZtPW6XRMi8VveMA5FajFYkE4HMbGjRvR0tKCK6+8Elu2bGH2bGLu+NSstOlQLgeS0hTlbMIWn8+HUCiETCaDY8eOscgN2vy0bPNLhVrjYLaFluhpsVjg8XjYmtDR0YGuri44HA60tLTA5/PBaDRi9+7d6OvrY+YBqpFBDAGtH7yGjXdq5bVb/HceqVQKlUoFp0+fRm9vLzZt2oSOjg44HA54PB7kcjkcOHAAyWSSScS8kEI5COqJkW8E5PgHe/eFjP+mZQKWiqufbcDyg6WWhEpcNb+pkW2IPH0pRIevCVAulxnnnsvlmGTMc+paHqL8/2Kb6pl8yz1BxbaKVdPEjb2WuYM/p9YzeIaCD9fkF1rSBHg8HlYWmlRxfAw2JQEiNV8ymWQmAD4ttMiozNb2lUC9c4A3TdHCbbFYWEIaPpU1nU8SjE6nQ7FYZDkdeH8Vnh58f/Bx6jSHyP/C6/XC5/PB7/fD7/czlbTFYlFphajQTqVSYZ7w/CJG0jQVd3K73czPhBxGtRjJlYb4XH5d4StX0ocfx/TeJLUTM03FyLLZLMsdwGvDRIdb+qulMi6VSqz0Nm0gpM10u90s8oDawTMYjd7w5fhf/vHftEzAcoF3DqMJSZsMdQgRVyzmQwOMNhy73Y7zzjsPvb298Pv9CIfDMJvNLEb39OnTzCFwbGyMJZ8hpzYRtaT++XTsSk9antvW0gKI7ak1qYm2FFEBgEkeOp0O7e3t6O7uhtVqRSgUYh7TPp+Pqd82bNjAIgHIDyCTyeDAgQMYHR3F+Pg4U4uSPwBNeJEJWC0QNx9a+Ox2O7Zt24aNGzfC6/XiggsuwKZNm1jmRKfTyTzMC4UCTpw4gRdeeAEjIyMYHR1FLpcDAMZE6XTnis2YTCZs3boV27dvh9VqZX1AjlYejwdOpxMdHR1wOp1sTIsJakhlzZfbFrVHfr8ffX19Kn+aVCqFaDSKSCSiSjOtRZPFoB5BRNQc0vmkYuY/lDODNuREIsGiUiKRCPr7+5lmLRqNMrs/leHmwecmENtJQg3RpVQqIRaLIZvNwmQy4cCBA4hGo8wkYbFYEI1G0dvbC5/Px/IV8BFQWhrSZoAc/4sf/+uKCeClSN5Zg+egyLZEPgGitG4wGODxeNDR0QGPx4MLL7wQF198MZxOJ8LhMOOkR0ZGcPjwYSQSCQwNDSESiajKifIbJjCz45ptsmmBl3YA9YIoDmj+GoLWO5J9j7+PwWBAW1sbdu3axTIAbt26VSU9mUwmtLS0sKQpdH06ncaBAwdw6NAhRKNRHD16FPF4XNPHoFabVhOsVis8Hg9b+C699FI4nU709PSgtbVV5TBWLBbZ2Dx06BBeeOEFDAwMsBTKwDlVJ6+doUXwve99L7xeL3p6etDR0cEWSsq8Rk5NtBHxXtu0cfEMsRbtA4EAgsEgk4ypqtupU6dgtVpVfjp0j5XsQ3EeEwwGA9v0eUaApHEAiMfjGB4exvj4OEZGRrBv3z7EYjGWP4CkVGDmXKuVuEaMX6fNZ3Jykq1rHo8Ho6Oj2LZtG8umGY/H0dvbC6/XC51Oh2g0yuaIKBU3M+T4n//4X1dMwFwQN+RaUiypoq1WK+x2O5xOJ6tGRxOHT/5BHFw9nPRsvzeDOWAuzMeEo2UO4Qcx2cnMZjPzvfB4PIzz5pkpYuxo0pKnfyqVQjqdRiqVYqk/tVKm1vtOjaavCFFzxG8WdrsdHo8HDocDVqtVxQDrdGerYVJoWiaTYbTRWkgURWHj3eFwwOv1Mu91CoMjR85yuawq1CWqavm2iu9Cz+Kv4dXotapzzmV2WihtZ+t7ke78MdIq0oc2B5LuyREtkUggmUyqIlRozaAIGzEnBv888Xst0CZRLpeRy+VgtVpVam8yrVUqFWbaJCa5Xi1ZI+aGHP8zr50v1hUTwA9o2rBp49CqXCfmCQDA4n8DgQB8Ph9aW1uZBoC4/Gw2y7JRkT+AmIFOSxNQ6zv/t9lQi/MkutVqd608DPz9Nm3ahEsuuYRJ/zt37oTdboff74fP51Nx3gAYrdPpNPr7+zE6OoqJiQm88847GBwcZBEAaxm0CJrNZgQCAXR3dzOGVRzX6XQax44dw7FjxzA2NsYcoUQVIy1EO3fuxKWXXgqPx4MtW7YgFAqxDJkEXrtG0ipdLyZO4bUx/GZHTri8RoeOUXU3Prse307e6WopaCkutlrjmd6Nnkt0JtW/0WhEMpnE5OQkyuUyotEostkskskkjh8/zjy9I5EIiwogmvBziH82ebbzbRVBGwZvhy6VSpiYmEAul4PP50M0GmWx9Hv27GH5PShjHiWrqWWqbDbI8T//8b+umADgXI566gQiNIW2iQltRG9LnU7HCtOQI1ooFIJOp2ObUC6XU32Iu6eO5jlEYPUyAARaIAiihF+LSRBTK/Pvq9fr0dXVhWuvvRZtbW3o7u7Gxo0bmYctAKZmI6mJaB2JRPD666/j0KFDSKfTOHnyJBKJBJPE1hr4xZkWAqPRCK/Xi3A4zLyfaWGh6AsqmHTo0CGWZtZisajqYVAfGo1GbNmyBTfddBP8fj+Lfxc3I7o39UepVGIhc/x5BFrAeKaQXwQJ/CLIL4QUxkVt5TfjpaArP4ZrjWfSDBJoLJPUbTKZkEqlWCrt/fv3swyBo6OjyGQyqgWf+nA2LYToi6NleuPpQusK+Qek02m0tbUhHo/DbrfD5/Nh48aN0Ov1KBaLrJw2aSzmo+Fbacjxv7jxv+6YAJG7F7konpviJxmvlqHEEzabjdl0KpUK4vE44vE4xsfHkUgkVBEBvJSr5dWr9Z0/R/xeC0vFMNQyhYiLoRajUm8b+OuJ1larldnsQqGQqiojMQ28mpXC+yiLGjlV8dW/iEmYy0dhPm1fCWhJolrgF0DeE513guUXGX7D4RlT/jxazCgKhmKaadxTQSeeqRU3ybnU6bXeg5c6qa2UxIUc5cizWuseS7Vh8dqs2aRgrTkNgJkFi8Uik6opKyUfmTLbgl0PQz0fYYEkVJ1Ox9qVSqVYQhpa50h6Ji90fl0EamcsXUrI8b8y439dMQG89ElEJs2A1WpVcZFk36EMXcT52Ww2tLe3Y9OmTfB6vXA6nYwBeOaZZ/DKK68gk8lgaGiIcdKUF4BnOGZbUBayoS43xDbRQNNaDGqZCHiQ9oWcaGhi9fX14YorrkAwGERPTw+2b9/OfC7IjlcoFJj9bmBgACMjI8hmszh8+DDOnDmDQqGA0dFRJBIJTE1NsYppWvkfRKwGlSdB1L6QHZR8Jvi4ZFrkaRMgj2efz4e2tjaWv4Jilm02G3Q6HQKBAMLhMJxOJ7Zs2cI8nyk7IznY0lziN0NK/ERaN3K2EttNNOdzNJC3NPV3JpPBqVOn8MYbb7DKbyJqScQLBe/wOttGy7ebJMhqtcps/xTi19/fz5z0iHEVM2uK78GHxtL9a2kKZxu3tLZVq2ezDur1eoyOjmL//v0YHh7Gli1bWHZCg8HAKhROTk6y/uX7iuLoGwk5/tVY6Phfd0wAcYlEMPIPIOaAYsx1urN1pqnQDw0w8gdob29nmeoqlQoymQz++Mc/4le/+pVK6hQ3z1qqc/4c8bpmBN8+PpeC+Nts19MiwqdX7enpwbvf/W50d3ezZCZ8JUcyAZCpZXh4GP39/YjH43jllVdw8OBB1WavRf+5sBhGYCWYCHHM0P+06DgcDpZqlkALFu+kBgBOpxN+v58lOykWiypJqL29Hdu2bYPb7UZnZyecTicrfkILHK/l4iGqrPmaDKJ0SdIOncvbVSnb2/j4OI4dO4Z8Po9UKqUp9dTbx/WANxvWAr2XqD5WFIWZAXU6HSYnJ5nESL/TX95OTLTgn8nnD+BpNJ/5pmWHnpycxMmTJxGLxWCz2bB161YmCVPmU7vdzvJtEENCflONYgLk+F/a8b+umABAzRED54hGGxmFh+h0uhmcGeWCpqQatDnxoTRU6GY2aKmOxN9XG+o1C/CDn+jn9XpZTG17ezubaHxCDL7mQiwWY6FUVJwplUohn89rhv3NhlrqunqOLzfmUoeKv/FOq36/n1VHExcGWugpxpmkPmJmabE3GAysDrvD4YDb7VZp0kTmb6721TrOb4K8tFatVpm5hyI7KNSulgaK/7tYaEno9UBU4dO1WusC38f8X3Fz4VXYdD8t7RyvnhYTk4naO9rsyF5NGxutc5QKl3dQFH2mlhNy/K/M+F9XTABtPtSJfAgMbTAkZQJQOYg4HA60tbWxyl6kOtPpzqWTnGvz57EaN3otzGbWEEGLFDlSUUnNzZs3Y+/evWhvb0d7ezu6urpYkg0ALIf66Ogo8vk8jh49yjji8fFxRCIRVk1trdB1LmgtMEajEd3d3bj88svh9XoRCoVUscnAOWmJfC52796N3t5ell6ZHI1o4SdtjMlkgtfrhcfjYRIVOVnyi5hWbg1xMReP8xIRqZqz2Symp6dZUpRkMomxsTEkk0nmZyM67S5135vN5hlqWi1JnAf/rjwtxA2d1MViQjKC6LQ82zMJtAnabDZMT0+zAkOkARVDDUkK9vl8CAaDCAaD8Pl8rKKd0+lkmjjqc7GEeqMgx//Sjf91yQTwajlAXYCCJHqe86aB4/F4mE2I4tf52PR61eArKU2uBMR3qqUN4OlP9HQ6ndiwYQP27NmDzZs3swpqvNqxUqkgnU5jeHgY6XQahw4dwltvvcXCATOZjGqxXOuoNX4MBgOCwSA2b97MYphpERTDnYCz1eR6enpYXLNW/XN+YeMlQjGUjV/8ZotjFhdD/jhp6MgJqlQqIZFIsEWQUj2Tpm655xGvqiWpD6i92Gq9G92D3zR5RoA/h36rR4NQ65mkDqe05XRcDMnV6XTM2Y1i3elDyXZ0Oh3sdrtK8iWv9UYy23L8L+34b1omYDkGGU0oPicATW5etUMDhtRkJpMJfr8foVCI5W8mRoJs0/F4vO7ws7Uorc5HVarX62Gz2dDZ2YmWlhZ0dnbC5XKpnG10Oh0KhQLjfIeGhnD69GlkMhnEYjEUi0VV1cJmTGm6WNQ70Xk1bywWw/Hjx+HxeKDT6VgGRXJe4s+nBZEWMjLP1FJn8/ZrUiWLbRVVz/z1IrRU2sT4iZo5WvxqYTn6nl8jRDu9iFoMAC+B0vvSeKXf+ZTlWhvsbMyHSL+pqSkWP85vUKJ9WlSTk5TPh9yKMejitcsNOf5XZvw3LROwHKhWqywbl8iNA2DMAA18vuzj+eefj927d8PpdKKtrY05y0xMTCAWiyESiSAej6+5jWgpwWsCQqEQrrvuOuzYsQM+nw/d3d1wOp2qhTMSibDqZm+//Tb++Mc/stAqUt3x/VlvG9aiNkanOxtf/NZbb2FoaAh+vx/vf//7We14WrRoAaO+INUov3iJ9mdeEqWNxGw2s0WQ94qutQBqaYf4xFy8PTOfz7Pw2snJSYyNjbGMj1pYrjmXz+dZO3m7/GzP5OlI8eFEc5L0yLOePMsprpwYWp4eWpoC+iu2oVqtMtsxgQrn8Dk5eJU+rXelUok5m1FobS6XQ7lcVj270VqAWpDjf+FYV0wA2fcANTeoxY3pdDqYzWZWnCYUCjHnNdIEUDnH8fFx5qgmoYZIX5okTqcTmzdvxgUXXACz2czSLhNoQRseHkYsFsOJEydw5MgR5PN55sBEko/omT3XBr/WGADg7DtRzYqRkREEg0Hs3r0bhUKBbTIkffJqaJPJNEPCFTc76j/eUY4kJwBMatFqk3gP/i9vYyZUq1VVrv1CocBMPsTszaWWXyqQ2rXWIi5CS70r1inhtY8ic0DvLz6vHqmSrqVNW6/Xq0rliknKRM3G9PQ0isUiy6lPGgHRFNGsjIAc/wvHumICAKhibrUmN00evV4Pt9uNlpYWVs7R6XTCZrOxDYo4tYmJCSQSCRQKhaabHM0AojcV1bDb7XC73UwVx9Msn88jkUigWCxiYGAAZ86cweTkJBKJhMpkQxITr9Jbz7QXF4epqSkMDQ3hwIEDrKJZMBhkjC3FQYsbF68NExd8scY8LYKi5Mr/FcFrYkgzxyd/qlariEajGBsbY/keKM1tszLZWu9KmgAqaU3562nzIBMA0TmTyWB8fJzZmvkFX1RLi4w13wZRq8lfw/sviR++r6emplTSKO/43KxzTI7/hWNdMQEiR84nkOH9AMg+3dnZie3bt8Pr9WLTpk1obW2F0WhkHpvZbBbHjx/HkSNHWC5widqwWCxob29HKBRCZ2cnLBYLpqen2YIInDUB7Nu3D/F4HG+//TZeeuklJJNJ5i1Lk6dcLrNJq6UVWE/QkjJyuRxef/11DA0NweVyYefOndiwYQPcbjfLe05hr+T9TWYYcW6Iz9LpdEzFKrYBqL0pit+pwFOpVGK50KempnDmzBkcO3YMuVwOAwMDOH36NEqlEtLp9JImA5oLs0n8c4H8XrxeL6xWK1pbW+H1euFwONDV1QWfz8cSCZVKJYyMjOCtt95i/i7kEEubN4170a5P7eH9EHgbOc0ZMj/weQIo/ayYtbBQKGBycpKlOs7lcigWi6rxIDImjYQc/4vDzNiUWfDAAw9gz549TD3+gQ98AP39/apzisUi7rzzTgQCATidTtx6662YmJhY0kYvBjwnrqVmI00Aec76fD74/X6WGIhKQ+ZyOWQyGVYYhKTXRk8IQk9PT9PR32AwsApcFAEgSvCFQgHj4+MYHh5mqr3R0VGk02mVLY04Z1KpavWnCC2nnbkmLw9eMpjtQwiHw4ui/2yORrO1DTgrtYyPj7NwSsqsODExgXQ6rVL3irHfxBTzv/EJYsRcGFrvXo/amMKsCoUCC0tLp9OIx+OYmJhg4Z80vwqFgqazntZCDTR+DlD6XZvNBrfbzZyLe3p6sHXrVvT29qK7uxsdHR1oaWmBw+FgtuZaG0k9Y5xnGqgfeWczsV9FEwSFy+XzeZZzX6tm/Vz9u1j6y/E/c/wvB+alCXjxxRdx5513Ys+ePZiensaXv/xl3HDDDTh8+DAcDgcA4O/+7u/w29/+Fr/85S/h8Xhw11134ZZbbsHLL7+8LC8wH5AmgCRQvkgDTRw+YU04HEZraytLQUkphMkEQB1G8bjNFKL2k5/8BOFwuKnoTypScsbhFytKZRqNRnH69GmMjY1hfHx8zsQYvGRDzwDO9adoj9OamLRIE3NInsRU8GWh2oXf/va3+NKXvrQk9J8Pc0nvSN7F2WwWIyMjqFQqcLvdKJfLOHPmDEwmE6vJQBsWX5uBpzvfdwaDgYXLki2W8uTHYjGkUikAMzOmAWqP+2QyidHRUVb2mSTg8fFxjIyMoFgsIpvNzlhcRSZOSzoFlnYO1GOHpbbQRmy1Wlk0USgUQnt7O1wuF4vHNxqNSKVSLEsdCR9TU1MquvHhiQQ+vwD//uQAx29i4nuQBEvpcUm4IQaENAai3wAdr9cmvZT0l+N/+TAvJuCZZ55R/f/4448jFArhzTffxNVXX41UKoUf//jHeOKJJ3DttdcCAB577DFs374dr732Gi6//PKla/kCQCo6h8OBYrHIJAs+TWQwGMR5550Hv9+P3t5e9PX1weFwYGpqCslkEqVSCYODg+jv72c1AqLRKAuvaRbs3bsXbre76ehPccx8QSA+UcepU6fwhz/8AYODg8xDmVSZWgujyJWT1EBMBp1LnD7PMNA9PB4Pent7WbpRl8uFarWKgwcPIp1OL9gWevHFFy87/Wu1izy+aXF555130N/fD4vFgrfeeotpYiwWC1sAnU4noxvNB4JOp2NJZSwWC0KhEEKhkEoDk06n8dprr+HIkSMAwBZX3vZN0k+lUkEymcTIyAjzpaFzeJs4v7ECM6t6ijTgvy92DtSSQOsZC3q9nmlMPR4P+vr60NPTA7vdjnA4DK/Xi3g8jlgshmw2C5PJxNKSk0MiAJWEysej8/OBpHQa95T9jhdKiI583xLzS87PVBaXNkLRaY2y7JEpYa60wSuxBq238b8cDMGifAKI4/H7/QCAN998E1NTU7j++uvZOdu2bUN3dzdeffVVzQFA9hBCOp1eTJNmBc8pi+pjsglZrVZ4PB74fD6mtrbb7cw7s1gsIpfLMY9NUpnVky64EWgm+gPn6EySDGkCaMJmMhnE43FEo1FVbXatwc8zA6JzD/U1fx2dS8wBPd9isbDkIpQspVKpsCiQxWAu+gPL1we8GpPubzKZkM/n2WJPkg3RgKRBco4l6PV6lMtlxsiRmptU13q9HplMBmNjYzh9+jQAsAVWXOBI4uElIR78ZlerBOt8sNA5wI+rWmaj2fwGSHIk0yKZFIkJJvrQWOXzkvDe/OJ96S/vrc63l/eA12oXzT/qZz4NOl9cTdSy8InW6vGLIDRqDZLjvz4smAmoVqv43Oc+h6uuugo7duwAAIyPj8NsNsPr9arObW1txfj4uOZ9HnjgAdx///0Lbca8INp6qPNsNhtLYdvV1YVNmzahpaWF5ZQGzg7MM2fOsKI14+PjyOfzrPJUs/gCaKFZ6F+pVJDNZhGPx+H1eqEoZ5N45HI5TExMIJvNIhqNMg9pAKoiIDx4pxzRBEDMHKn1qW/4eGmn04lAIACLxYJgMKhyVCRvaECdOnahBVNmoz+wsn3AeyTr9Wdrx5Pkk8/nmQREsdMEnU6HZDKJWCwGk8mEM2fOsCIzRON8Po/jx49jcnISAFQbGf/h86ITMwbMlOhJciKpSCuUq5YpQMRyzwEtvwT60EZEya1IYDAYDPD5fIwRNRqNzMF4dHSUlY6lapi8CVO004smA1JZA2o/AbvdDr/fD5vNhk2bNmH79u0IBoMIh8Ow2+0qkwD/IWadmPL5Oqg1yxq0lsb/UmHBTMCdd96JgwcP4qWXXlpUA+677z7cc8897P90Oo2urq5F3bMWiKi8+sxoNMLpdKKrqwtutxtbt27FhRdeyLxHTSYTKpUKYrEYjhw5glQqhePHj2NgYIBpBkTbEf+8ZsdK0p+4X5PJBJ/PB0VRYLFYmI0uEolgcHCQZcciSYq3u/GThgdt/jSh7XY7u5YWMZvNBr/fD6vVis7OTlxwwQXwer1MGgKAoaEhnDx5knH9drsder1exZgsNVayDyqVCvL5/IxNU3TC0tpUiU60SBKDRpsbvznx0g9wbi6QJoj6FIBKWqJz6TtFgWihXgZgLiwl/XnGhHfMI3Oh0WhUldAOhULwer3o7u7Gzp07Ua1WkU6nEYlEUCgUMDg4iKNHjzJH5HQ6zbzKyVmW14gRzflQOF69HQwG0dfXB6/Xi66uLlx88cXwer2w2+1wuVzsWppLfJ4B6l96t6WCHP8LG/9LhQUxAXfddRd+85vf4Pe//z06OzvZ8ba2NpTLZSSTSZU2YGJiAm1tbZr3ItXKSoG3D1NnUz17Po+22+1WaQ0oRIOyaeXzeVVIGr8gaX1vJJqF/tVqlS2GNGl4cwA5yPAqS94BitfeaKlCSZ1J/UkTlpgAqgRms9lYOWifzwfg3MSjTJBkD+WZiIViNvoDtftgsWNnNnsp/T6fZ1AyGeCcylJRzlV4JPUlnwZXNJHx/jfiJq41X0Rpn7eV88fExVbESs8BfnMWNQH0qVarqoyCpIKmfP3FYhHFYhGRSIT9RnOIBBA+xp8vyU0JuMikRf3i9XoRDAbh9/sRDAbh8XhYdTzKIyDSXXwn8bd67NULob8c/7XHf73vWg/mxQQoioK7774bv/71r/HCCy9g48aNqt937doFk8mE5557DrfeeisAoL+/H4ODg7jiiisW3MilAm02/KSxWq2ME29tbUVHRweL5yX1Tz6fx+joKAtVSyaTLLZWDLFphk2fR7PRnzxec7kcYwaMRiOCwSAMBgNKpRLzyifGgFRixBWTMxPVdPB4PMyuR1IMaQIIOp2OLYxUESwQCMBqtTI7XjabZZqAQqGAWCzG/D0WKvksJ/2XYqzRwlMvk0OLGjFIogQjOl6K4GPXxXNE+zN/jD+nFgNQC8vZB7UWbip6RWYuq9WKTCYDu92OWCzGqvPZ7XYWr06qeKvVCpfLxSpsejwelMtl5otEGrVUKsWcammDamlpgdfrZQwBMdL0naKfKGEXOeaSnbpcLmNsbIylQaeKqlr9xR+fDctF//U4/rWOzfX/XJgXE3DnnXfiiSeewNNPPw2Xy8VsPKR28ng8+Ku/+ivcc889LLb+7rvvxhVXXNFwz3QAzA5DajnyUA8EAujt7UVXVxe6urrg9/vhdDpVeZvPnDmDgYEBppLjk2fMJYU0Ar///e/R3t7edPSnrFcUVkl90dbWxsaRxWJBNptFJBLB0NAQk4gKhQIMBgO6u7vR3d0Nh8OBLVu2YOPGjTCZTKy6IzEE5BPAq+Vo4+DjphOJBF555RVEIhFEIhGMjIwwtac40eeDffv24b777lsW+i90rGldN5sKlL+G7Jmz3ZOXfmp51tda+OgvrzLln82HrGktoiJTsBxzoBbTwTvTAedMX2TyyufzGBoags1mQ2trK3NEJTOk2+2G1+tlYWvAWVqSrV6v1zOmeHp6mjkmT09PM82k1WrFpk2b0NbWxtY6qpDHJ8UhZzbe5ky+B2SCGB4eRiqVQiaTAXAuPFDEbONwOdeg9Tr+F7vha2FeTMAPfvADAMA111yjOv7YY4/hox/9KADgO9/5DvR6PW699VaUSiW85z3vwUMPPbTohi4FeELyNi8Kz6G0wKRWpgI1lD6TNi0+m5TIBDQLI/DhD38Y5XK56ejPJy6hJBmkDaDwQZ/PB7PZzDKqmc1mVYVBr9fL0jgHg0G0tLQwKZ9soCRV8XkEePMO9StJWJQdLZ1Os7BEMTXofHHjjTcuC/2XaozVK/2IG1+9z5+PyriWNMZLavWo/Xms1BwQpUlaB8j0pShnM9jp9WfrjVDCsWq1Cp/Px1TEZKum+UHSJnmw03nkVEihgFarlTEB5NBMTriUg0DLU71cLrP1jJLV0Jyk9W4xEU/LRX85/ufXjrkwb3PAXLBarXjwwQfx4IMPLrhRywmaoDrd2XradrsdXq8X7e3t6OzsZEk8FEVRFbAZHx9HOp1GPp9nk5A2NV4d1Cw4c+YM3G53o5uhAu+ZOzY2htdff52pRjs7O1kRIafTyaSd7du3M4mdnPWCwSCL121paUEgEGCLIl/Ziz6k6sxmsywPdyKRwNDQEHK5HE6ePIkzZ84wBoD3uObVf/PF2NhY0/XBYrAUTK640GktarNJnLOpSUWs1BzQakulUlHlIaHa8EajEZFIhDG8w8PDTIPl8XiY2p6kdqfTyUxfVquVpau12+2w2+0AoDJzmc1mlTMizRnKtZHL5RCJRFhtgHg8rjI1lEolHD9+HCMjI4xJFu3ctTYskQ7NuAYtBs0w/pdD67yuageIThbkDOjz+dDW1sbCxMj5g5IBTUxMqNJNkqYAgKaKRkIbvDlmbGwMr732Gk6cOIG+vj60tLQweyYtdLSQiaowSmpCzjl8uCAA1cY/NTWFbDaLcrmMiYkJHDx4ELFYDCMjI3jnnXdYic5kMqny8aD2yr5dWswVPUNzVGshrNcHoFEQF3SSqHU6HdLptCrRDwkhPp+PFbPhw/goaoWcWU0mE0KhEMLhMGw2G7q7u5kfDTG7FMPOOyOKpYCj0SgOHz6MeDyuilPnHXMnJiaYSYyv2CneT2L+aMbxv66YAD6MjDhxl8vFcnZTYSFKD5zNZpkTG0mw1DkLSZqxXjDbIKUBTomBjEYjkskkkskky1pGJhpAnSeA6E19RWE2ZL+nCURhQOS1S8xbIpFAIpFgz6NoD75gy2xtX+kNaKWetRwex/N5znzQrAyAFmgsiuYCXjVMKn36X6fTMQdYk8nEHJApJI20ARTFROYB0jiQuYEynJJjH82NeDyORCKBeDzOTGDkO0BrHPkd0H0bRXM5/mdiOWiyrpgASgzjdDoRCoVw0UUXoa2tjTnflMtlxONxpibet28fDh48yDYOvqoXOZ0RB95M/gDNCmIAdDodi7igxSiVSsHj8SAYDGLDhg3MezkQCLBsZnxhFWIAaDPnaU8LYD6fR6FQQDQaZXHWY2NjTPWZTCYZA0D3FDf6RkqeK237XEks5N1qOXWtBvDJfOgvaamo8Bi9XzabRTqdZswwhbo6HA6W2pZy1/OpsSlaxuVyYWpqCvF4HNlsVvVMMonR3KC8A7zvTKlUUmX0pLj3lc6IKsf/3NcsxbutKybAbDaznM+dnZ249NJL0dPTw7jrqakpjI+PM1v10aNHcfToUVbEgTh18rBVlHOpZwmSEZgdREdSQQLAyMgI+vv7YTAY0NXVhZ07d8Lj8aCjowObN29m4X6kNiU1f7lcxvDwMMbGxlSSVqlUQjQaZTZ+8nSm9KEk5ZRKpZqJnnjMhxFoZnX1YsCb0Rbyfmt5jsxFE9GOS8wm5RnhI1D4NYbO5Z/DXy/S1GKxoK2tDX6/H1NTU5icnEQmk1GZGmgOkJRPJjA+nwbPcItZAtda39WLtTz+1xUTQKAJRIOePHnJZk3pgLVqAogTttk6dDWBNmCKU9br9cw+X61WWRU2q9XKnDhJXUoJV6LRKOLxOJO0dDodyzVAppxcLqfKNyDmdpgPmlGqmAtzveNS0WA+96nn3EYvnMtJF9rsaQxqfebbxkqlglwuB5PJhKmpKTbu+bWOT4SlleOEzhX9G+ZqUzOvg3L8z451xQSQLZrCwxKJBKsmRd64o6OjrIZzNpud4aBRrVZV5W35AjfNPBEajdk2T1I1VioVTE5O4vDhw7BYLDh27Bj27dunKsRC0gwxZxQvzYMcA8meSo6BIvO2XLm4JWZirfjPLOUcF+9V7+ZS67xqtYpUKsUkfRJixHuJpbe1Qht5prpeTYdEbTTz+F9XTAB5uBIjkM1mkUqlVJ0Ti8VYNq58Pq+5UWgVk5ETQRv1DnzStlBOdFH1SbXWiQmghaxWSVNRkqmnfc06SdcSVvM8WY62i5vDYqS/arXKNF+1QtF4YYU3O/BMMe+7w6ft5rUXC23jekcz0mtdMgHkCZtOp1msLQ10ctQpl8uqzE+1VHoSM7HYzVRLq0KJVgB1/Qc+YmOl27ncWGvjazHv0+i+WowkPFfbtaTEhTxP3Jznc8/ZnlWvJmKpIcf/OSwnzdcVE0BZtEiCNJlMGB4eZl64er0e0WiUeZOTPY1CB6X6uHHgQwEXAyn5NwbNrA5tBtSjrapnE+HpXOv8WtoGreqci/GfkTiHZh7/64oJoIx1pBHQ6/WsPjTlnKeQM9IGiCozOREaA+oz3slpvpAMgMRSYyXXg3o905dqw6nl6yTnztrCumIC+M1fr9ezFMAmkwnT09MwGAwsdI2vEqg1ESQzMH/wNFvIQkLXU0hTPZLOQn6XWB40szSkhWab4yvhkyCxfGhWWq8rJoBKCVPxGqpKR+U7iQmgcp18xiypBVhazDYhtI6LDk18ljUCryHgVZvrOb65mdCMC2Azo1nGrOy3pUGz0nFdMQEAVJ7kpVKJJccgJqBcLrOYconlxWye0bXO5/+K4EOaZvNoFq9plsV2PUHSXWI9o5nGf9MxAY0IP+HjxteKxL/Qd1hp+td63kJCpbTuxffnYpKGLNSzeiFYqyFY832Xxb77Yulfr/29GbHU7ZLjf/Fo1vHfdEyAmPhlKVHLrk+JNdYSMpkMPB7Pgq5rBixkAiwkemM5F5nV3gerHUtB/7W0CdXCcr2jHP+NRb301ylNNsqr1SpGR0ehKAq6u7sxNDS0pmpSLwXS6TS6uro0aaMoCjKZDMLhsGbIz1yQ9J8bs9EfWJo+6O/vx3nnnSfpXwPLPQck/WeHpH9jsZT0bzpNgF6vR2dnJ9LpNADA7XbLQVADtWizEO6bIOlfP2ajzWL7oKOjY85nSCzfHJD0rw+S/o3FUtB//myahISEhISExJqAZAIkJCQkJCTWKZqWCbBYLPj6178Oi8XS6KY0HVaCNpL+tSHp33gsN30k/WeHpH9jsZT0aTrHQAkJCQkJCYmVQdNqAiQkJCQkJCSWF5IJkJCQkJCQWKeQTICEhISEhMQ6hWQCJCQkJCQk1imakgl48MEH0dPTA6vVissuuwyvv/56o5u04njggQewZ88euFwuhEIhfOADH0B/f7/qnGuuuUZVNEen0+HTn/70op8t6X8Wsg8aC0n/xkLSv7FYMforTYYnn3xSMZvNyqOPPqocOnRI+cQnPqF4vV5lYmKi0U1bUbznPe9RHnvsMeXgwYPK/v37lRtvvFHp7u5WstksO2fv3r3KJz7xCWVsbIx9UqnUop4r6X8Osg8aC0n/xkLSv7FYKfo3HRNw6aWXKnfeeSf7v1KpKOFwWHnggQca2KrGIxKJKACUF198kR3bu3ev8tnPfnZJnyPpXxuyDxoLSf/GQtK/sVgu+jeVOaBcLuPNN9/E9ddfz47p9Xpcf/31ePXVVxvYssYjlUoBAPx+v+r4z3/+cwSDQezYsQP33Xcf8vn8gp8h6T87ZB80FpL+jYWkf2OxXPRvqgJCsVgMlUoFra2tquOtra04evRog1rVeFSrVXzuc5/DVVddhR07drDjt99+OzZs2IBwOIy3334bX/ziF9Hf349f/epXC3qOpH9tyD5oLCT9GwtJ/8ZiOenfVEyAhDbuvPNOHDx4EC+99JLq+Cc/+Un2fefOnWhvb8d1112HkydPYvPmzSvdzDUN2QeNhaR/YyHp31gsJ/2byhwQDAZhMBgwMTGhOj4xMYG2trYGtaqxuOuuu/Cb3/wGzz//PDo7O2c997LLLgMAnDhxYkHPkvTXhuyDxkLSv7GQ9G8slpv+TcUEmM1m7Nq1C8899xw7Vq1W8dxzz+GKK65oYMtWHoqi4K677sKvf/1r/O53v8PGjRvnvGb//v0AgPb29gU9U9JfDdkHjYWkf2Mh6d9YrBj9F+VWuAx48sknFYvFojz++OPK4cOHlU9+8pOK1+tVxsfHG920FcVnPvMZxePxKC+88IIq/COfzyuKoignTpxQvvnNbypvvPGGcvr0aeXpp59WNm3apFx99dWLeq6k/znIPmgsJP0bC0n/xmKl6N90TICiKMr3vvc9pbu7WzGbzcqll16qvPbaa41u0ooDgObnscceUxRFUQYHB5Wrr75a8fv9isViUXp7e5UvfOELi47RVRRJf4Lsg8ZC0r+xkPRvLFaK/rKUsISEhISExDpFU/kESEhISEhISKwcJBMgISEhISGxTiGZAAkJCQkJiXUKyQRISEhISEisU0gmQEJCQkJCYp1CMgESEhISEhLrFJIJkJCQkJCQWKeQTICEhISEhMQ6hWQCJCQkJCQk1ikkEyAhISEhIbFOIZkACQkJCQmJdQrJBEhISEhISKxT/H+8punrclCHlwAAAABJRU5ErkJggg==\n",
+ "image/png": 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\n",
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