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Manushi Majumdar
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requested changes for user profiles
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‎samples/03_org_administrators/validate_user_profiles.ipynb

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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"\n",
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"import pandas as pd\n",
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"\n",
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"from arcgis.gis import GIS\n",
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"\n",
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"from arcgis.gis import GIS"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"gis = GIS(\"home\")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Then, let's create a list containing strings that represent all the values that your organization requires (beyond the required attributes for a valid user profile)."
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"Then, let's create a list containing strings that represent all the values that your organization requires (beyond the required attributes for a valid user profile).\n",
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"\n",
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"`access_type` refers to the `User.access` property of a user and it indicates the level of access of the user: private, org, or public.\n",
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"\n",
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"While `access_type` may not be a requirement for your organization to validate a user profile, we have added it here to demonstrate how other useful properties can also be extracted for each user profile to learn more about them. "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"complete_profile = ['description', 'thumbnail', 'access']"
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"complete_profile = ['description', 'thumbnail', 'access', 'access_type']"
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]
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},
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{
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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"def get_missing_profile_attrs(member):\n",
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" non_compliance = []\n",
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" for attr in complete_profile:\n",
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" if getattr(member, attr) == None:\n",
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" non_compliance.append(False)\n",
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" if attr=='access_type':\n",
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" non_compliance.append(member.access)\n",
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" else:\n",
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" non_compliance.append(True)\n",
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" if getattr(member, attr) == None: \n",
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" non_compliance.append(False)\n",
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" else:\n",
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" non_compliance.append(True)\n",
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" return non_compliance"
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]
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},
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"execution_count": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"execution_count": 6,
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"metadata": {},
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"outputs": [
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{
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" <th>description</th>\n",
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" <th>thumbnail</th>\n",
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" <th>access</th>\n",
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" <th>access_type</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>user001</th>\n",
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" <th>achapkowski_geosaurus</th>\n",
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" <td>False</td>\n",
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" <td>False</td>\n",
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" <td>True</td>\n",
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" <td>org</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>viewer002</th>\n",
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" <td>False</td>\n",
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" <td>False</td>\n",
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" <th>amani_geosaurus</th>\n",
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" <td>True</td>\n",
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" <td>True</td>\n",
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" <td>True</td>\n",
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" <td>public</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>primary_admin</th>\n",
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" <td>False</td>\n",
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" <td>False</td>\n",
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" <th>andrew57</th>\n",
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" <td>True</td>\n",
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" <td>True</td>\n",
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" <td>True</td>\n",
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" <td>private</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>publisher001</th>\n",
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" <th>api_data_owner</th>\n",
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" <td>False</td>\n",
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" <td>False</td>\n",
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" <td>True</td>\n",
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" <td>org</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>arcgis_python</th>\n",
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" <td>True</td>\n",
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" <td>True</td>\n",
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" <td>True</td>\n",
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" <td>public</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" description thumbnail access\n",
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"user001 False False True\n",
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"viewer002 False False True\n",
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"primary_admin False False True\n",
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"publisher001 False False True"
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" description thumbnail access access_type\n",
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"achapkowski_geosaurus False False True org\n",
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"amani_geosaurus True True True public\n",
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"andrew57 True True True private\n",
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"api_data_owner False False True org\n",
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"arcgis_python True True True public"
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]
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},
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"execution_count": 5,
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"user_profile_df = pd.DataFrame(data=user_profile_status, index=complete_profile).T\n",
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"user_profile_df"
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"user_profile_df.head()"
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]
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},
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{
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"execution_count": 7,
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"execution_count": 8,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div class=\"item_container\" style=\"height: auto; overflow: hidden; border: 1px solid #cfcfcf; border-radius: 2px; background: #f6fafa; line-height: 1.21429em; padding: 10px;\">\n",
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" <div class=\"item_left\" style=\"width: 210px; float: left;\">\n",
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" <a href='https://geosaurus.maps.arcgis.com/home/item.html?id=9f077933498c41fbb222ee95fee23102' target='_blank'>\n",
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" <img src='http://static.arcgis.com/images/desktopapp.png' class=\"itemThumbnail\">\n",
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" </a>\n",
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" </div>\n",
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"\n",
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" <div class=\"item_right\" style=\"float: none; width: auto; overflow: hidden;\">\n",
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" <b>output_org_user_profile_1547747903</b>\n",
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" <br/>CSV by primary_admin\n",
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" <br/>Last Modified: January 17, 2019\n",
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" <a href='https://geosaurus.maps.arcgis.com/home/item.html?id=9f077933498c41fbb222ee95fee23102' target='_blank'><b>output_org_user_profile_1686349431</b>\n",
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" </a>\n",
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" <br/><img src='https://geosaurus.maps.arcgis.com/home/js/jsapi/esri/css/images/item_type_icons/layers16.png' style=\"vertical-align:middle;\">CSV by MMajumdar_geosaurus\n",
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" <br/>Last Modified: June 09, 2023\n",
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" <br/>0 comments, 0 views\n",
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" </div>\n",
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" </div>\n",
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" "
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],
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"text/plain": [
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"<Item title:\"output_org_user_profile_1547747903\" type:CSV owner:primary_admin>"
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"<Item title:\"output_org_user_profile_1686349431\" type:CSV owner:MMajumdar_geosaurus>"
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]
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},
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"execution_count": 10,
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"execution_count": 8,
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"metadata": {},
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"output_type": "execute_result"
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}
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"gis.content.add({}, output_dir + out_file)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"You may download this item if you wish, and if you decide to delete this item after having used it, you may run the script below by updating the `item_id` with the id of this file in your organization."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"item = gis.content.get(item_id)\n",
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"item.delete()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.11"
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"version": "3.7.16"
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},
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"toc": {
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"base_numbering": 1,

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