names-tool-comparison.ipynb

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    "<h1>Table of Contents<span class=\"tocSkip\"></span></h1>\n",
    "<div class=\"toc\"><ul class=\"toc-item\"><li><span><a href=\"#Scientific-Names-tool--comparison-\" data-toc-modified-id=\"Scientific-Names-tool--comparison--1\"><span class=\"toc-item-num\">1&nbsp;&nbsp;</span>Scientific Names tool  comparison <a id=\"Scientific-Names-tool--comparison\" rel=\"nofollow\"></a></a></span><ul class=\"toc-item\"><li><span><a href=\"#Services-\" data-toc-modified-id=\"Services--1.1\"><span class=\"toc-item-num\">1.1&nbsp;&nbsp;</span>Services <a id=\"Services-\" rel=\"nofollow\"></a></a></span></li><li><span><a href=\"#Outputs\" data-toc-modified-id=\"Outputs-1.2\"><span class=\"toc-item-num\">1.2&nbsp;&nbsp;</span>Outputs</a></span><ul class=\"toc-item\"><li><span><a href=\"#Global-Names-Resolver-\" data-toc-modified-id=\"Global-Names-Resolver--1.2.1\"><span class=\"toc-item-num\">1.2.1&nbsp;&nbsp;</span>Global Names Resolver <a href=\"\" id=\"Global-Names-Resolver\" rel=\"nofollow\" target=\"_blank\"></a></a></span></li><li><span><a href=\"#GBIF\" data-toc-modified-id=\"GBIF-1.2.2\"><span class=\"toc-item-num\">1.2.2&nbsp;&nbsp;</span>GBIF</a></span></li><li><span><a href=\"#Catalogue-of-Life-(CoL)\" data-toc-modified-id=\"Catalogue-of-Life-(CoL)-1.2.3\"><span class=\"toc-item-num\">1.2.3&nbsp;&nbsp;</span>Catalogue of Life (CoL)</a></span></li><li><span><a href=\"#LifeWatch\" data-toc-modified-id=\"LifeWatch-1.2.4\"><span class=\"toc-item-num\">1.2.4&nbsp;&nbsp;</span>LifeWatch</a></span></li><li><span><a href=\"#NCBI-Taxonomy\" data-toc-modified-id=\"NCBI-Taxonomy-1.2.5\"><span class=\"toc-item-num\">1.2.5&nbsp;&nbsp;</span>NCBI Taxonomy</a></span></li></ul></li><li><span><a href=\"#A-few-other-services-to-compare\" data-toc-modified-id=\"A-few-other-services-to-compare-1.3\"><span class=\"toc-item-num\">1.3&nbsp;&nbsp;</span>A few other services to compare</a></span><ul class=\"toc-item\"><li><ul class=\"toc-item\"><li><span><a href=\"#NomenMatch\" data-toc-modified-id=\"NomenMatch-1.3.0.1\"><span class=\"toc-item-num\">1.3.0.1&nbsp;&nbsp;</span>NomenMatch</a></span></li><li><span><a href=\"#Taxonomic-name-resolution-service\" data-toc-modified-id=\"Taxonomic-name-resolution-service-1.3.0.2\"><span class=\"toc-item-num\">1.3.0.2&nbsp;&nbsp;</span>Taxonomic name resolution service</a></span></li><li><span><a href=\"#EU-NOMEN\" data-toc-modified-id=\"EU-NOMEN-1.3.0.3\"><span class=\"toc-item-num\">1.3.0.3&nbsp;&nbsp;</span>EU-NOMEN</a></span></li></ul></li><li><span><a href=\"#Comparison-Table\" data-toc-modified-id=\"Comparison-Table-1.3.1\"><span class=\"toc-item-num\">1.3.1&nbsp;&nbsp;</span>Comparison Table</a></span></li></ul></li></ul></li></ul></div>"
   ]
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   "cell_type": "markdown",
   "id": "72b54946",
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   "source": [
    "# Scientific Names tool  comparison <a id=\"Scientific-Names-tool--comparison\"></a>\n",
    "\n",
    "This notebook is part of ENVRI FAIR WP11 use case on scientific names and FAIR data. The goal is to document how different tools provide different responses for the same scientific name.\n",
    "\n",
    "The following small test dataset (plants) were generated to highlight some of the issues. \n",
    "\n",
    "| scientificName                       | Notes                     |\n",
    "|--------------------------------------|---------------------------|\n",
    "| Pinus mugo Turra                     | Correct and accepted name |\n",
    "| Pinus mugo                           | Exclude the author name   |\n",
    "| Pinus mugo Smith                     | Wrong author name         |\n",
    "| Pinus muco Turra                     |   Spelling mistake                         |\n",
    "| Pino mugo Turra                      | Wrong genus                          |\n",
    "| Pinus basso Turra        |              Wrong species             |\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "52c1d2fd",
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    "## Services <a id=\"Services-\"></a>\n",
    "\n",
    "**Global Names Resolver** \n",
    "\n",
    "http://resolver.globalnames.org/ \n",
    "\n",
    "\n",
    "From the Global Names Index (GNI) project which queries multiple taxonomic backbone and services. \n",
    "More here: https://globalnames.org/ \n",
    "\n",
    "\n",
    "**GBIF** \n",
    "\n",
    "https://gbif.org Global Biodiveristy Information Facility \n",
    "Python Library \n",
    "\n",
    "\n",
    "**Catalogue of Life** \n",
    "\n",
    "Name-match tool https://data.catalogueoflife.org/tools/name-match\n",
    "\n",
    "\n",
    "**LifeWatch Data services** \n",
    "\n",
    "https://lifewatch.be/data-services/"
   ]
  },
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   "cell_type": "markdown",
   "id": "ed277bec",
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   "source": [
    "## Outputs \n",
    "\n",
    "\n",
    "### Global Names Resolver <a href id=\"Global-Names-Resolver\"></a>\n",
    "\n",
    "*Pinus mugo Turra*\n",
    "\n",
    "Accepted name with the binomials and author name (the person credited with the first formal use of the name)\n",
    "\n"
   ]
  },
  {
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     "text": [
      "{'canonical_form': 'Pinus mugo',\n",
      " 'classification_path': 'Biota|Plantae|Tracheophyta|Pinopsida|Pinales|Pinaceae|Pinus|Pinus '\n",
      "                        'mugo',\n",
      " 'classification_path_ids': '5T6MX|P|TP|GG|623FD|625M7|6QPY|4J2CJ',\n",
      " 'classification_path_ranks': 'unranked|kingdom|phylum|class|order|family|genus|species',\n",
      " 'data_source_id': 1,\n",
      " 'data_source_title': 'Catalogue of Life Checklist',\n",
      " 'edit_distance': 0,\n",
      " 'gni_uuid': 'b5948654-7d7c-5eb0-874b-a3a00dd07c3b',\n",
      " 'imported_at': '2022-09-02T23:47:25Z',\n",
      " 'match_type': 1,\n",
      " 'match_value': 'Exact string match',\n",
      " 'name_string': 'Pinus mugo Turra',\n",
      " 'prescore': '8|0|0',\n",
      " 'score': 0.999,\n",
      " 'taxon_id': '4J2CJ'}\n",
      "{'canonical_form': 'Pinus mugo',\n",
      " 'classification_path': 'Plantae|Viridiplantae|Streptophyta|Embryophyta|Tracheophyta|Spermatophytina|Pinopsida|Pinidae|Pinales|Pinaceae|Pinus|Pinus '\n",
      "                        'mugo',\n",
      " 'classification_path_ids': '202422|954898|846494|954900|846496|846504|500009|954916|500028|18030|18035|183358',\n",
      " 'classification_path_ranks': 'Kingdom|Subkingdom|Infrakingdom|Superdivision|Division|Subdivision|Class|Subclass|Order|Family|Genus|Species',\n",
      " 'data_source_id': 3,\n",
      " 'data_source_title': 'Integrated Taxonomic Information SystemITIS',\n",
      " 'edit_distance': 0,\n",
      " 'gni_uuid': 'b5948654-7d7c-5eb0-874b-a3a00dd07c3b',\n",
      " 'imported_at': '2022-06-10T00:38:02Z',\n",
      " 'match_type': 1,\n",
      " 'match_value': 'Exact string match',\n",
      " 'name_string': 'Pinus mugo Turra',\n",
      " 'prescore': '8|0|0',\n",
      " 'score': 0.999,\n",
      " 'taxon_id': '183358'}\n",
      "{'canonical_form': 'Pinus mugo',\n",
      " 'classification_path': 'Plant|Pinaceae|Pinus|Pinus mugo',\n",
      " 'classification_path_ids': '1000p|879f|9418g|28493s',\n",
      " 'classification_path_ranks': '|||',\n",
      " 'data_source_id': 6,\n",
      " 'data_source_title': 'GRIN Taxonomy for Plants',\n",
      " 'edit_distance': 0,\n",
      " 'gni_uuid': 'b5948654-7d7c-5eb0-874b-a3a00dd07c3b',\n",
      " 'imported_at': '2012-02-09T06:32:01Z',\n",
      " 'match_type': 1,\n",
      " 'match_value': 'Exact string match',\n",
      " 'name_string': 'Pinus mugo Turra',\n",
      " 'prescore': '8|0|0',\n",
      " 'score': 0.999,\n",
      " 'taxon_id': '28493s'}\n",
      "{'canonical_form': 'Pinus mugo',\n",
      " 'classification_path': '|Cellular '\n",
      "                        'life|Eukaryota|Viridaeplantae|Streptophyceae|Charales|Embryophytes|Tracheophytes|Spermatophytes|Gymnosperms|Coniferophytina|Pinaceae|Pinus|Pinus '\n",
      "                        'mugo',\n",
      " 'classification_path_ids': '2822864|2823207|2828118|3192114|3193215|3193219|23201674|3203697|3209000|3340259|3340260|3340736|3340903|3340967',\n",
      " 'classification_path_ranks': '|above family|above family|above family|above '\n",
      "                              'family|above family|above family|above '\n",
      "                              'family|above family|above family|above '\n",
      "                              'family|family|genus|species',\n",
      " 'data_source_id': 7,\n",
      " 'data_source_title': 'Union 4',\n",
      " 'edit_distance': 0,\n",
      " 'gni_uuid': 'b5948654-7d7c-5eb0-874b-a3a00dd07c3b',\n",
      " 'imported_at': '2012-08-21T16:59:52Z',\n",
      " 'match_type': 1,\n",
      " 'match_value': 'Exact string match',\n",
      " 'name_string': 'Pinus mugo Turra',\n",
      " 'prescore': '8|0|0',\n",
      " 'score': 0.999,\n",
      " 'taxon_id': '3340967'}\n"
     ]
    }
   ],
   "source": [
    "import requests\n",
    "from pprint import pprint\n",
    "import json\n",
    "from requests.structures import CaseInsensitiveDict\n",
    "url = \"http://resolver.globalnames.org/name_resolvers.json?names=Pinus+mugo+Turra\"\n",
    "headers = CaseInsensitiveDict()\n",
    "headers[\"Accept\"] = \"application/json\"\n",
    "\n",
    "resp = requests.get(url, headers=headers)\n",
    "# data_source_title shows the source name \n",
    "for i in json.loads(resp.text)['data']:\n",
    "# print the first results\n",
    "    pprint(i['results'][0])\n",
    "    pprint(i['results'][1])\n",
    "    pprint(i['results'][2])\n",
    "    pprint(i['results'][3])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e0426a0",
   "metadata": {},
   "source": [
    "Now *Pinus mugo*\n",
    "\n",
    "Excluding the author name, only the binomials."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "067ffc63",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'canonical_form': 'Pinus mugo',\n",
      " 'classification_path': '',\n",
      " 'classification_path_ids': '',\n",
      " 'classification_path_ranks': '',\n",
      " 'data_source_id': 2,\n",
      " 'data_source_title': 'Wikispecies',\n",
      " 'edit_distance': 0,\n",
      " 'gni_uuid': '2f24b92e-3f06-5367-a0c0-d1458e41d533',\n",
      " 'imported_at': '2022-06-10T19:47:29Z',\n",
      " 'match_type': 1,\n",
      " 'match_value': 'Exact string match',\n",
      " 'name_string': 'Pinus mugo',\n",
      " 'prescore': '3|0|0',\n",
      " 'score': 0.988,\n",
      " 'taxon_id': '45069',\n",
      " 'url': 'http://species.wikimedia.org/wiki/Pinus_mugo'}\n",
      "{'canonical_form': 'Pinus mugo',\n",
      " 'classification_path': '|Eukaryota|Viridiplantae|Streptophyta|Streptophytina|Embryophyta|Tracheophyta|Euphyllophyta|Spermatophyta|Acrogymnospermae|Pinopsida|Pinidae|Conifers|Pinales|Pinaceae|Pinus|Pinus|Pinus '\n",
      "                        'mugo',\n",
      " 'classification_path_ids': '131567|2759|33090|35493|131221|3193|58023|78536|58024|1437180|58019|3313|2821352|1446380|3318|3337|139271|28528',\n",
      " 'classification_path_ranks': '|superkingdom|kingdom|phylum|subphylum|clade|clade|clade|clade|clade|class|subclass|clade|order|family|genus|subgenus|species',\n",
      " 'data_source_id': 4,\n",
      " 'data_source_title': 'National Center for Biotechnology Information',\n",
      " 'edit_distance': 0,\n",
      " 'gni_uuid': '2f24b92e-3f06-5367-a0c0-d1458e41d533',\n",
      " 'imported_at': '2022-06-13T12:08:24Z',\n",
      " 'match_type': 1,\n",
      " 'match_value': 'Exact string match',\n",
      " 'name_string': 'Pinus mugo',\n",
      " 'prescore': '3|0|0',\n",
      " 'score': 0.988,\n",
      " 'taxon_id': '28528'}\n",
      "{'canonical_form': 'Pinus mugo',\n",
      " 'classification_path': 'Plantae|Tracheophyta|Pinopsida|Pinales|Pinaceae|Pinus|Pinus '\n",
      "                        'mugo|Pinus mugo',\n",
      " 'classification_path_ids': '6|7707728|194|640|3925|2684241|5285385|10118937',\n",
      " 'classification_path_ranks': 'kingdom|phylum|class|order|family|genus|species|subspecies',\n",
      " 'data_source_id': 11,\n",
      " 'data_source_title': 'GBIF Backbone Taxonomy',\n",
      " 'edit_distance': 0,\n",
      " 'gni_uuid': 'fa4be96e-7a6a-5ce7-900f-4d3ab1485370',\n",
      " 'imported_at': '2022-06-10T16:11:03Z',\n",
      " 'match_type': 2,\n",
      " 'match_value': 'Exact match by canonical form',\n",
      " 'name_string': 'Pinus mugo subsp. × rotundata',\n",
      " 'prescore': '3|0|0',\n",
      " 'score': 0.988,\n",
      " 'taxon_id': '10118937'}\n",
      "{'canonical_form': 'Pinus mugo',\n",
      " 'classification_path': '',\n",
      " 'classification_path_ids': '',\n",
      " 'classification_path_ranks': '',\n",
      " 'data_source_id': 146,\n",
      " 'data_source_title': 'Wikipedia in EOL',\n",
      " 'edit_distance': 0,\n",
      " 'gni_uuid': 'b5948654-7d7c-5eb0-874b-a3a00dd07c3b',\n",
      " 'imported_at': '2012-02-09T13:36:37Z',\n",
      " 'match_type': 2,\n",
      " 'match_value': 'Exact match by canonical form',\n",
      " 'name_string': 'Pinus mugo Turra',\n",
      " 'prescore': '3|0|0',\n",
      " 'score': 0.988,\n",
      " 'taxon_id': '142518414',\n",
      " 'url': 'http://en.wikipedia.org/w/index.php?title=Mountain_Pine&oldid=355138883'}\n"
     ]
    }
   ],
   "source": [
    "import requests\n",
    "from pprint import pprint\n",
    "import json\n",
    "from requests.structures import CaseInsensitiveDict\n",
    "url = \"http://resolver.globalnames.org/name_resolvers.json?names=Pinus+mugo\"\n",
    "headers = CaseInsensitiveDict()\n",
    "headers[\"Accept\"] = \"application/json\"\n",
    "\n",
    "resp = requests.get(url, headers=headers)\n",
    "# data_source_title shows the source name \n",
    "for i in json.loads(resp.text)['data']:\n",
    "    pprint(i['results'][0])\n",
    "    pprint(i['results'][1])\n",
    "    pprint(i['results'][18])\n",
    "    pprint(i['results'][22])\n",
    "   "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f91767b7",
   "metadata": {},
   "source": [
    "*Pinus mugo Smith* \n",
    "\n",
    "Wrong author name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b04d87a5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'canonical_form': 'Pinus mugo',\n",
      " 'classification_path': '|Eukaryota|Viridiplantae|Streptophyta|Streptophytina|Embryophyta|Tracheophyta|Euphyllophyta|Spermatophyta|Acrogymnospermae|Pinopsida|Pinidae|Conifers|Pinales|Pinaceae|Pinus|Pinus|Pinus '\n",
      "                        'mugo',\n",
      " 'classification_path_ids': '131567|2759|33090|35493|131221|3193|58023|78536|58024|1437180|58019|3313|2821352|1446380|3318|3337|139271|28528',\n",
      " 'classification_path_ranks': '|superkingdom|kingdom|phylum|subphylum|clade|clade|clade|clade|clade|class|subclass|clade|order|family|genus|subgenus|species',\n",
      " 'data_source_id': 4,\n",
      " 'data_source_title': 'National Center for Biotechnology Information',\n",
      " 'edit_distance': 0,\n",
      " 'gni_uuid': '2f24b92e-3f06-5367-a0c0-d1458e41d533',\n",
      " 'imported_at': '2022-06-13T12:08:24Z',\n",
      " 'match_type': 2,\n",
      " 'match_value': 'Exact match by canonical form',\n",
      " 'name_string': 'Pinus mugo',\n",
      " 'prescore': '3|0|0',\n",
      " 'score': 0.988,\n",
      " 'taxon_id': '28528'}\n",
      "{'canonical_form': 'Pinus mugo',\n",
      " 'classification_path': 'Plantae|Tracheophyta|Pinopsida|Pinales|Pinaceae|Pinus|Pinus '\n",
      "                        'mugo|Pinus mugo',\n",
      " 'classification_path_ids': '6|7707728|194|640|3925|2684241|5285385|10118937',\n",
      " 'classification_path_ranks': 'kingdom|phylum|class|order|family|genus|species|subspecies',\n",
      " 'data_source_id': 11,\n",
      " 'data_source_title': 'GBIF Backbone Taxonomy',\n",
      " 'edit_distance': 0,\n",
      " 'gni_uuid': 'fa4be96e-7a6a-5ce7-900f-4d3ab1485370',\n",
      " 'imported_at': '2022-06-10T16:11:03Z',\n",
      " 'match_type': 2,\n",
      " 'match_value': 'Exact match by canonical form',\n",
      " 'name_string': 'Pinus mugo subsp. × rotundata',\n",
      " 'prescore': '3|0|0',\n",
      " 'score': 0.988,\n",
      " 'taxon_id': '10118937'}\n",
      "{'canonical_form': 'Pinus mugo',\n",
      " 'classification_path': '||Eukaryota|Archaeplastida|Chloroplastida|Streptophyta|Embryophyta|Tracheophyta|Euphyllophyta|Spermatophyta|Acrogymnospermae|Pinidae|Pinales|Pinaceae|Pinus|Pinus '\n",
      "                        'subgenus|Pinus mugo',\n",
      " 'classification_path_ids': '805080|93302|304358|5268475|361838|916750|56610|10210|1007992|10218|5296507|7580277|4736806|994067|771683|531304|1069751',\n",
      " 'classification_path_ranks': 'no rank|no '\n",
      "                              'rank|domain|kingdom|kingdom|phylum|no '\n",
      "                              'rank|phylum|no rank|no rank|no '\n",
      "                              'rank|subclass|order|family|genus|subgenus|species',\n",
      " 'data_source_id': 179,\n",
      " 'data_source_title': 'Open Tree of Life Reference Taxonomy',\n",
      " 'edit_distance': 0,\n",
      " 'gni_uuid': '2f24b92e-3f06-5367-a0c0-d1458e41d533',\n",
      " 'imported_at': '2021-07-05T12:18:30Z',\n",
      " 'local_id': '1069751',\n",
      " 'match_type': 2,\n",
      " 'match_value': 'Exact match by canonical form',\n",
      " 'name_string': 'Pinus mugo',\n",
      " 'prescore': '3|0|0',\n",
      " 'score': 0.988,\n",
      " 'taxon_id': '1069751'}\n",
      "{'canonical_form': 'Pinus mugo',\n",
      " 'classification_path': '',\n",
      " 'classification_path_ids': '',\n",
      " 'classification_path_ranks': '',\n",
      " 'data_source_id': 194,\n",
      " 'data_source_title': 'PLAZI treatments',\n",
      " 'edit_distance': 0,\n",
      " 'gni_uuid': '2f24b92e-3f06-5367-a0c0-d1458e41d533',\n",
      " 'imported_at': '2022-06-14T17:36:51Z',\n",
      " 'local_id': '039F87BE67509B0244CEAD82FCA02901',\n",
      " 'match_type': 2,\n",
      " 'match_value': 'Exact match by canonical form',\n",
      " 'name_string': 'Pinus mugo',\n",
      " 'prescore': '3|0|0',\n",
      " 'score': 0.988,\n",
      " 'taxon_id': '039F87BE67509B0244CEAD82FCA02901'}\n"
     ]
    }
   ],
   "source": [
    "import requests\n",
    "from pprint import pprint\n",
    "import json\n",
    "from requests.structures import CaseInsensitiveDict\n",
    "url = \"http://resolver.globalnames.org/name_resolvers.json?names=Pinus+mugo+Smith\"\n",
    "headers = CaseInsensitiveDict()\n",
    "headers[\"Accept\"] = \"application/json\"\n",
    "\n",
    "resp = requests.get(url, headers=headers)\n",
    "# data_source_title shows the source name \n",
    "for i in json.loads(resp.text)['data']:\n",
    "    pprint(i['results'][1])\n",
    "    pprint(i['results'][4])\n",
    "    pprint(i['results'][12])\n",
    "    pprint(i['results'][15])\n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8d74c2d8",
   "metadata": {},
   "source": [
    "*Pinus muco Turra* \n",
    "\n",
    "Includes a spelling mistake (*muco* instead of *mugo*)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ea1b03f7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'canonical_form': 'Pinus mugo',\n",
      " 'classification_path': 'Biota|Plantae|Tracheophyta|Pinopsida|Pinales|Pinaceae|Pinus|Pinus '\n",
      "                        'mugo',\n",
      " 'classification_path_ids': '5T6MX|P|TP|GG|623FD|625M7|6QPY|4J2CJ',\n",
      " 'classification_path_ranks': 'unranked|kingdom|phylum|class|order|family|genus|species',\n",
      " 'data_source_id': 1,\n",
      " 'data_source_title': 'Catalogue of Life Checklist',\n",
      " 'edit_distance': 1,\n",
      " 'gni_uuid': 'b5948654-7d7c-5eb0-874b-a3a00dd07c3b',\n",
      " 'imported_at': '2022-09-02T23:47:25Z',\n",
      " 'match_type': 3,\n",
      " 'match_value': 'Fuzzy match by canonical form',\n",
      " 'name_string': 'Pinus mugo Turra',\n",
      " 'prescore': '1|1|0',\n",
      " 'score': 0.96,\n",
      " 'taxon_id': '4J2CJ'}\n",
      "{'canonical_form': 'Pinus mugo',\n",
      " 'classification_path': 'Plantae|Viridiplantae|Streptophyta|Embryophyta|Tracheophyta|Spermatophytina|Pinopsida|Pinidae|Pinales|Pinaceae|Pinus|Pinus '\n",
      "                        'mugo',\n",
      " 'classification_path_ids': '202422|954898|846494|954900|846496|846504|500009|954916|500028|18030|18035|183358',\n",
      " 'classification_path_ranks': 'Kingdom|Subkingdom|Infrakingdom|Superdivision|Division|Subdivision|Class|Subclass|Order|Family|Genus|Species',\n",
      " 'data_source_id': 3,\n",
      " 'data_source_title': 'Integrated Taxonomic Information SystemITIS',\n",
      " 'edit_distance': 1,\n",
      " 'gni_uuid': 'b5948654-7d7c-5eb0-874b-a3a00dd07c3b',\n",
      " 'imported_at': '2022-06-10T00:38:02Z',\n",
      " 'match_type': 3,\n",
      " 'match_value': 'Fuzzy match by canonical form',\n",
      " 'name_string': 'Pinus mugo Turra',\n",
      " 'prescore': '1|1|0',\n",
      " 'score': 0.96,\n",
      " 'taxon_id': '183358'}\n",
      "{'canonical_form': 'Pinus mugo',\n",
      " 'classification_path': 'Plant|Pinaceae|Pinus|Pinus mugo',\n",
      " 'classification_path_ids': '1000p|879f|9418g|28493s',\n",
      " 'classification_path_ranks': '|||',\n",
      " 'data_source_id': 6,\n",
      " 'data_source_title': 'GRIN Taxonomy for Plants',\n",
      " 'edit_distance': 1,\n",
      " 'gni_uuid': 'b5948654-7d7c-5eb0-874b-a3a00dd07c3b',\n",
      " 'imported_at': '2012-02-09T06:32:01Z',\n",
      " 'match_type': 3,\n",
      " 'match_value': 'Fuzzy match by canonical form',\n",
      " 'name_string': 'Pinus mugo Turra',\n",
      " 'prescore': '1|1|0',\n",
      " 'score': 0.96,\n",
      " 'taxon_id': '28493s'}\n",
      "{'canonical_form': 'Pinus mugo',\n",
      " 'classification_path': 'Gymnosperms|Pinales|Pinaceae|Pinus|Pinus mugo',\n",
      " 'classification_path_ids': 'wfo-9949999998|wfo-9000000404|wfo-7000000470|wfo-4000029794|wfo-0000481789',\n",
      " 'classification_path_ranks': 'PHYLUM|ORDER|FAMILY|GENUS|SPECIES',\n",
      " 'data_source_id': 196,\n",
      " 'data_source_title': 'World Flora Online consortium',\n",
      " 'edit_distance': 1,\n",
      " 'gni_uuid': 'b5948654-7d7c-5eb0-874b-a3a00dd07c3b',\n",
      " 'imported_at': '2022-09-06T04:25:18Z',\n",
      " 'local_id': '380254',\n",
      " 'match_type': 3,\n",
      " 'match_value': 'Fuzzy match by canonical form',\n",
      " 'name_string': 'Pinus mugo Turra',\n",
      " 'prescore': '1|1|0',\n",
      " 'score': 0.96,\n",
      " 'taxon_id': 'wfo-0000481789',\n",
      " 'url': 'wcs'}\n"
     ]
    }
   ],
   "source": [
    "import requests\n",
    "from pprint import pprint\n",
    "import json\n",
    "from requests.structures import CaseInsensitiveDict\n",
    "url = \"http://resolver.globalnames.org/name_resolvers.json?names=Pinus+muco+Turra\"\n",
    "headers = CaseInsensitiveDict()\n",
    "headers[\"Accept\"] = \"application/json\"\n",
    "\n",
    "resp = requests.get(url, headers=headers)\n",
    "# data_source_title shows the source name \n",
    "for i in json.loads(resp.text)['data']:\n",
    "    pprint(i['results'][0])\n",
    "    pprint(i['results'][1])\n",
    "    pprint(i['results'][2])\n",
    "    pprint(i['results'][18])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0c055876",
   "metadata": {},
   "source": [
    "*Pino mugo Turra* \n",
    "\n",
    "Wrong genus "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "02078772",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'id': 'rlw1ehezq9r7',\n",
       " 'url': 'http://resolver.globalnames.org/name_resolvers/rlw1ehezq9r7.json',\n",
       " 'data_sources': [],\n",
       " 'data': [{'supplied_name_string': 'Pino mugo Turra', 'is_known_name': False}],\n",
       " 'status': 'success',\n",
       " 'message': 'Success',\n",
       " 'parameters': {'with_context': False,\n",
       "  'header_only': False,\n",
       "  'with_canonical_ranks': False,\n",
       "  'with_vernaculars': False,\n",
       "  'best_match_only': False,\n",
       "  'data_sources': [],\n",
       "  'preferred_data_sources': [],\n",
       "  'resolve_once': False}}"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import requests\n",
    "from pprint import pprint\n",
    "import json\n",
    "from requests.structures import CaseInsensitiveDict\n",
    "url = \"http://resolver.globalnames.org/name_resolvers.json?names=Pino+mugo+Turra\"\n",
    "headers = CaseInsensitiveDict()\n",
    "headers[\"Accept\"] = \"application/json\"\n",
    "\n",
    "resp = requests.get(url, headers=headers)\n",
    "json.loads(resp.text)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fa23e745",
   "metadata": {},
   "source": [
    "*Pinus basso Turra* \n",
    "\n",
    "Wrong species name "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "1878f81a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'canonical_form': 'Pinus',\n",
      " 'classification_path': 'Biota|Plantae|Tracheophyta|Pinopsida|Pinales|Pinaceae|Pinus',\n",
      " 'classification_path_ids': '5T6MX|P|TP|GG|623FD|625M7|6QPY',\n",
      " 'classification_path_ranks': 'unranked|kingdom|phylum|class|order|family|genus',\n",
      " 'data_source_id': 1,\n",
      " 'data_source_title': 'Catalogue of Life Checklist',\n",
      " 'edit_distance': 0,\n",
      " 'gni_uuid': 'ab47598a-2593-58d7-83f1-edfa9a65a9cd',\n",
      " 'imported_at': '2022-09-02T23:47:21Z',\n",
      " 'match_type': 6,\n",
      " 'match_value': 'Could only match genus',\n",
      " 'name_string': 'Pinus',\n",
      " 'prescore': '1|0|0',\n",
      " 'score': 0.75,\n",
      " 'taxon_id': '6QPY'}\n",
      "{'canonical_form': 'Pinus',\n",
      " 'classification_path': '',\n",
      " 'classification_path_ids': '',\n",
      " 'classification_path_ranks': '',\n",
      " 'data_source_id': 2,\n",
      " 'data_source_title': 'Wikispecies',\n",
      " 'edit_distance': 0,\n",
      " 'gni_uuid': 'ab47598a-2593-58d7-83f1-edfa9a65a9cd',\n",
      " 'imported_at': '2022-06-10T19:46:42Z',\n",
      " 'match_type': 6,\n",
      " 'match_value': 'Could only match genus',\n",
      " 'name_string': 'Pinus',\n",
      " 'prescore': '1|0|0',\n",
      " 'score': 0.75,\n",
      " 'taxon_id': '17362',\n",
      " 'url': 'http://species.wikimedia.org/wiki/Pinus'}\n"
     ]
    }
   ],
   "source": [
    "import requests\n",
    "from pprint import pprint\n",
    "import json\n",
    "from requests.structures import CaseInsensitiveDict\n",
    "url = \"http://resolver.globalnames.org/name_resolvers.json?names=Pinus+basso+Turra\"\n",
    "headers = CaseInsensitiveDict()\n",
    "headers[\"Accept\"] = \"application/json\"\n",
    "\n",
    "resp = requests.get(url, headers=headers)\n",
    "json.loads(resp.text)\n",
    "for i in json.loads(resp.text)['data']:\n",
    "    pprint(i['results'][0])\n",
    "    pprint(i['results'][1])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce64e89e",
   "metadata": {},
   "source": [
    "### GBIF \n",
    "\n",
    "Using the python library \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "95c8a84a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'key': 5285385,\n",
       "  'nameKey': 8770435,\n",
       "  'kingdom': 'Plantae',\n",
       "  'phylum': 'Tracheophyta',\n",
       "  'order': 'Pinales',\n",
       "  'family': 'Pinaceae',\n",
       "  'genus': 'Pinus',\n",
       "  'species': 'Pinus mugo',\n",
       "  'kingdomKey': 6,\n",
       "  'phylumKey': 7707728,\n",
       "  'classKey': 194,\n",
       "  'orderKey': 640,\n",
       "  'familyKey': 3925,\n",
       "  'genusKey': 2684241,\n",
       "  'speciesKey': 5285385,\n",
       "  'parent': 'Pinus',\n",
       "  'parentKey': 2684241,\n",
       "  'nubKey': 5285385,\n",
       "  'scientificName': 'Pinus mugo Turra',\n",
       "  'canonicalName': 'Pinus mugo',\n",
       "  'rank': 'SPECIES',\n",
       "  'status': 'ACCEPTED',\n",
       "  'synonym': False,\n",
       "  'higherClassificationMap': {'6': 'Plantae',\n",
       "   '7707728': 'Tracheophyta',\n",
       "   '194': 'Pinopsida',\n",
       "   '640': 'Pinales',\n",
       "   '3925': 'Pinaceae',\n",
       "   '2684241': 'Pinus'},\n",
       "  'class': 'Pinopsida'}]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#GBIF API response \n",
    "from pygbif import species\n",
    "import json\n",
    "\n",
    "# This is a match and ACCEPTED name \n",
    "species.name_suggest(q='Pinus mugo Turra')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a80c46ff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'key': 5285385,\n",
       "  'nameKey': 8770435,\n",
       "  'kingdom': 'Plantae',\n",
       "  'phylum': 'Tracheophyta',\n",
       "  'order': 'Pinales',\n",
       "  'family': 'Pinaceae',\n",
       "  'genus': 'Pinus',\n",
       "  'species': 'Pinus mugo',\n",
       "  'kingdomKey': 6,\n",
       "  'phylumKey': 7707728,\n",
       "  'classKey': 194,\n",
       "  'orderKey': 640,\n",
       "  'familyKey': 3925,\n",
       "  'genusKey': 2684241,\n",
       "  'speciesKey': 5285385,\n",
       "  'parent': 'Pinus',\n",
       "  'parentKey': 2684241,\n",
       "  'nubKey': 5285385,\n",
       "  'scientificName': 'Pinus mugo Turra',\n",
       "  'canonicalName': 'Pinus mugo',\n",
       "  'rank': 'SPECIES',\n",
       "  'status': 'ACCEPTED',\n",
       "  'synonym': False,\n",
       "  'higherClassificationMap': {'6': 'Plantae',\n",
       "   '7707728': 'Tracheophyta',\n",
       "   '194': 'Pinopsida',\n",
       "   '640': 'Pinales',\n",
       "   '3925': 'Pinaceae',\n",
       "   '2684241': 'Pinus'},\n",
       "  'class': 'Pinopsida'},\n",
       " {'key': 8343866,\n",
       "  'nameKey': 8770544,\n",
       "  'kingdom': 'Plantae',\n",
       "  'phylum': 'Tracheophyta',\n",
       "  'order': 'Pinales',\n",
       "  'family': 'Pinaceae',\n",
       "  'genus': 'Pinus',\n",
       "  'species': 'Pinus mugo',\n",
       "  'kingdomKey': 6,\n",
       "  'phylumKey': 7707728,\n",
       "  'classKey': 194,\n",
       "  'orderKey': 640,\n",
       "  'familyKey': 3925,\n",
       "  'genusKey': 2684241,\n",
       "  'speciesKey': 5285385,\n",
       "  'parent': 'Pinus mugo',\n",
       "  'parentKey': 5285385,\n",
       "  'scientificName': 'Pinus mugo var. pumilio (Haenke) Domin',\n",
       "  'canonicalName': 'Pinus mugo pumilio',\n",
       "  'rank': 'VARIETY',\n",
       "  'status': 'SYNONYM',\n",
       "  'synonym': True,\n",
       "  'higherClassificationMap': {'6': 'Plantae',\n",
       "   '7707728': 'Tracheophyta',\n",
       "   '194': 'Pinopsida',\n",
       "   '640': 'Pinales',\n",
       "   '3925': 'Pinaceae',\n",
       "   '2684241': 'Pinus',\n",
       "   '5285385': 'Pinus mugo'},\n",
       "  'class': 'Pinopsida'},\n",
       " {'key': 5285386,\n",
       "  'nameKey': 8770502,\n",
       "  'kingdom': 'Plantae',\n",
       "  'phylum': 'Tracheophyta',\n",
       "  'order': 'Pinales',\n",
       "  'family': 'Pinaceae',\n",
       "  'genus': 'Pinus',\n",
       "  'species': 'Pinus mugo',\n",
       "  'kingdomKey': 6,\n",
       "  'phylumKey': 7707728,\n",
       "  'classKey': 194,\n",
       "  'orderKey': 640,\n",
       "  'familyKey': 3925,\n",
       "  'genusKey': 2684241,\n",
       "  'speciesKey': 5285385,\n",
       "  'parent': 'Pinus mugo',\n",
       "  'parentKey': 5285385,\n",
       "  'nubKey': 5285386,\n",
       "  'scientificName': 'Pinus mugo subsp. rotundata (Link) Janch. & H.Neumayer',\n",
       "  'canonicalName': 'Pinus mugo rotundata',\n",
       "  'rank': 'SUBSPECIES',\n",
       "  'status': 'ACCEPTED',\n",
       "  'synonym': False,\n",
       "  'higherClassificationMap': {'6': 'Plantae',\n",
       "   '7707728': 'Tracheophyta',\n",
       "   '194': 'Pinopsida',\n",
       "   '640': 'Pinales',\n",
       "   '3925': 'Pinaceae',\n",
       "   '2684241': 'Pinus',\n",
       "   '5285385': 'Pinus mugo'},\n",
       "  'class': 'Pinopsida'},\n",
       " {'key': 10413409,\n",
       "  'nameKey': 19136647,\n",
       "  'kingdom': 'Plantae',\n",
       "  'phylum': 'Tracheophyta',\n",
       "  'order': 'Pinales',\n",
       "  'family': 'Pinaceae',\n",
       "  'genus': 'Pinus',\n",
       "  'species': 'Pinus uncinata',\n",
       "  'kingdomKey': 6,\n",
       "  'phylumKey': 7707728,\n",
       "  'classKey': 194,\n",
       "  'orderKey': 640,\n",
       "  'familyKey': 3925,\n",
       "  'genusKey': 2684241,\n",
       "  'speciesKey': 5285332,\n",
       "  'parent': 'Pinus',\n",
       "  'parentKey': 2684241,\n",
       "  'scientificName': 'Pinus mugo subsp. rostrata (Antoine) Hoopes',\n",
       "  'canonicalName': 'Pinus mugo rostrata',\n",
       "  'rank': 'SUBSPECIES',\n",
       "  'status': 'SYNONYM',\n",
       "  'synonym': True,\n",
       "  'higherClassificationMap': {'6': 'Plantae',\n",
       "   '7707728': 'Tracheophyta',\n",
       "   '194': 'Pinopsida',\n",
       "   '640': 'Pinales',\n",
       "   '3925': 'Pinaceae',\n",
       "   '2684241': 'Pinus',\n",
       "   '5285332': 'Pinus uncinata'},\n",
       "  'class': 'Pinopsida'},\n",
       " {'key': 7361517,\n",
       "  'nameKey': 32342255,\n",
       "  'kingdom': 'Plantae',\n",
       "  'phylum': 'Tracheophyta',\n",
       "  'order': 'Pinales',\n",
       "  'family': 'Pinaceae',\n",
       "  'genus': 'Pinus',\n",
       "  'species': 'Pinus mugo',\n",
       "  'kingdomKey': 6,\n",
       "  'phylumKey': 7707728,\n",
       "  'classKey': 194,\n",
       "  'orderKey': 640,\n",
       "  'familyKey': 3925,\n",
       "  'genusKey': 2684241,\n",
       "  'speciesKey': 5285385,\n",
       "  'parent': 'Pinus mugo',\n",
       "  'parentKey': 5285385,\n",
       "  'scientificName': 'Pinus mugo nothosubsp. rotundata (Link) A.E.Murray, 1985',\n",
       "  'canonicalName': 'Pinus mugo rotundata',\n",
       "  'rank': 'SUBSPECIES',\n",
       "  'status': 'SYNONYM',\n",
       "  'synonym': True,\n",
       "  'higherClassificationMap': {'6': 'Plantae',\n",
       "   '7707728': 'Tracheophyta',\n",
       "   '194': 'Pinopsida',\n",
       "   '640': 'Pinales',\n",
       "   '3925': 'Pinaceae',\n",
       "   '2684241': 'Pinus',\n",
       "   '5285385': 'Pinus mugo'},\n",
       "  'class': 'Pinopsida'}]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#GBIF API response \n",
    "from pygbif import species\n",
    "import json\n",
    "\n",
    "# returns synonyms and subspecies\n",
    "species.name_suggest(q='Pinus mugo',limit=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "3c6b3a06",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#GBIF API response \n",
    "from pygbif import species\n",
    "import json\n",
    "\n",
    "# incorrect author\n",
    "# no response\n",
    "species.name_suggest(q='Pinus mugo Smith')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "2ef01bb7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#GBIF API response \n",
    "from pygbif import species\n",
    "import json\n",
    "\n",
    "# Wrong genus\n",
    "# no response\n",
    "species.name_suggest(q='Pino mugo Turra')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "082611ba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#GBIF API response \n",
    "from pygbif import species\n",
    "import json\n",
    "\n",
    "# Wrong species \n",
    "# no response\n",
    "species.name_suggest(q='Pinus basso Turra')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e0f349b",
   "metadata": {},
   "source": [
    "### Catalogue of Life (CoL) \n",
    "\n",
    "Web service (the output can be downloaded as a csv file)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "bc92184e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "Image(filename='/Users/sharifislam/Downloads/notebooks/col-test-envri.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f50539b3",
   "metadata": {},
   "source": [
    "The above output can be downloaded as csv \n",
    "\n",
    "```\n",
    "\"providedScientificName\",\"nameIndexId\",\"taxonId\",\"acceptedTaxonId\",\"parentTaxonId\",\"scientificName\",\"status\",\"acceptedScientificName\",\"kingdom\",\"phylum\",\"class\",\"order\",\"family\",\"genus\"\n",
    "\"Pinus mugo Turra\",\"5478645\",\"4J2CJ\",\"4J2CJ\",\"6QPY\",\"Pinus mugo Turra\",\"accepted\",\"Pinus mugo Turra\",\"Plantae\",\"Tracheophyta\",\"Pinopsida\",\"Pinales\",\"Pinaceae\",\"Pinus\"\n",
    "\"Pinus mugo\",\"5478631\",\"4J2CL\",\"7KLRQ\",\"7KLRQ\",\"Pinus mugho Poir.\",\"synonym\",\"Pinus mugo subsp. rotundata (Link) Janch. & H. Neumayer\",\"Plantae\",\"Tracheophyta\",\"Pinopsida\",\"Pinales\",\"Pinaceae\",\"Pinus\"\n",
    "\"Pinus mugo Smith\",\"5478631\",\"4J2CL\",\"7KLRQ\",\"7KLRQ\",\"Pinus mugho Poir.\",\"synonym\",\"Pinus mugo subsp. rotundata (Link) Janch. & H. Neumayer\",\"Plantae\",\"Tracheophyta\",\"Pinopsida\",\"Pinales\",\"Pinaceae\",\"Pinus\"\n",
    "\"Pinus muco Turra\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\"\n",
    "\"Pino mugo Turra\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\"\n",
    "\"Pinus basso Turra\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\"\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8630bd7c",
   "metadata": {},
   "source": [
    "### LifeWatch \n",
    "\n",
    "LifeWatch Taxon match service: \n",
    "\n",
    "https://lifewatch.be/data-services/\n",
    "\n",
    "For this tool, you will need to login and submit a job. There are several different Taxon backbone and services can be selected at the same time. No API. This tool let's you select different backbone such as GNI, IPNI. After the job runs, the result is presented the following way:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7083bd8a",
   "metadata": {},
   "source": [
    "```\n",
    "scientificname\trequired_fields_check\tdatasetname_fuzzy_col\ttaxonomicstatus_fuzzy_col\ttaxonrank_fuzzy_col\tNOTUSED_scientificname\tscientificnameid_fuzzy_col\tisextinct_fuzzy_col\tmatch_type_fuzzy_col\tmatch_count_fuzzy_col\tnote_fuzzy_col\tNOTUSED_scientificname\tid_gni\tlsid_gni\ttaxonmatch_note_gni\ttaxonmatch_matchcount_gni\tid_itis\tname_itis\tstatus_name_itis\ttaxonmatch_note_itis\ttaxonmatch_matchcount_itis\tguid_pesi\tvalid_name_pesi\tvalid_guid_pesi\tstatus_pesi\tvalid_authority_pesi\tmatch_type_pesi\ttaxonmatch_matchcount_pesi\ttaxonmatch_note_pesi\n",
    "\"Pinus mugo Turra\"\t1\t\t\t\t\t\t\t\t\t\"Empty response\"\t\"Pinus mugo Turra\"\t1583131\turn:lsid:globalnames.org:index:b5948654-7d7c-5eb0-874b-a3a00dd07c3b\t\"Exact match\"\t1\t\t\t\t\"No exact match found\"\t\tE4C17C46-BC16-4EA9-8A18-0D9EE84E8F8F\t\"Pinus mugo\"\tE4C17C46-BC16-4EA9-8A18-0D9EE84E8F8F\taccepted\tTurra\texact\t1\t\"One match found\"\n",
    "\"Pinus mugo \"\t1\t\t\t\t\t\t\t\t\t\"Empty response\"\t\"Pinus mugo\"\t333461urn:lsid:globalnames.org:index:2f24b92e-3f06-5367-a0c0-d1458e41d533\t\"Exact match\"\t1\t\t\t\t\"No exact match found\"\t\tE4C17C46-BC16-4EA9-8A18-0D9EE84E8F8F\t\"Pinus mugo\"\tE4C17C46-BC16-4EA9-8A18-0D9EE84E8F8F\taccepted\tTurra\texact\t1\t\"One match found\"\n",
    "\"Pinus mugo Smith\"\t1\t\t\t\t\t\t\t\t\t\"Empty response\"\t\t\t\"No match found\"\t0\t\t\t\t\"No exact match found\"\t\tE4C17C46-BC16-4EA9-8A18-0D9EE84E8F8F\t\"Pinus mugo\"\tE4C17C46-BC16-4EA9-8A18-0D9EE84E8F8F\taccepted\tTurra\texact\t1\t\"One match found\"\n",
    "\"Pinus muco Turra\"\t1\t\t\t\t\t\t\t\t\t\"Empty response\"\t\t\t\"No match found\"\t0\t\t\t\t\"No exact match found\"\t\tE4C17C46-BC16-4EA9-8A18-0D9EE84E8F8F\t\"Pinus mugo\"\tE4C17C46-BC16-4EA9-8A18-0D9EE84E8F8F\taccepted\tTurra\tnear_1\t1\t\"One match found\"\n",
    "\"Pino mugo Turra\"\t1\t\t\t\t\t\t\t\t\t\"Empty response\"\t\t\t\"No match found\"\t0\t\t\t\t\"No exact match found\"\t\t\t\t\t\t\t\t0\t\"No match found\"\n",
    "\"Pinus basso Turra\"\t1\t\t\t\t\t\t\t\t\t\"Empty response\"\t\t\t\"No match found\"\t0\t\t\t\t\"No exact match found\"\t\t\t\t\t\t\t\t0\t\"No match found\"\n",
    "\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13b7a057",
   "metadata": {},
   "source": [
    "### NCBI Taxonomy \n",
    "\n",
    "Python library \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "b564ea9b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2022-10-06 10:13:01,569 MainThread [WARNING] entrezpy.conduit.Conduit: {\"empty response\": {\"queryid\": \"_81DOCQeSXOuTDUAjmantA==\", \"action\": \"skip\"}}\r\n",
      "2022-10-06 10:13:01,570 MainThread [INFO] ncbitaxonomist.resolve.resolver.Resolver: {\"resolving\": \"names\", \"failed\": [\"Pinus mugo Turra\"]}\r\n"
     ]
    }
   ],
   "source": [
    "!ncbi-taxonomist --verbose resolve --names 'Pinus mugo Turra'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "88756835",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\r\n",
      "  \"mode\": \"resolve\",\r\n",
      "  \"query\": \"Pinus mugo\",\r\n",
      "  \"cast\": \"taxon\",\r\n",
      "  \"taxon\": {\r\n",
      "    \"taxid\": 28528,\r\n",
      "    \"rank\": \"species\",\r\n",
      "    \"names\": {\r\n",
      "      \"Pinus mugo\": \"scientific_name\",\r\n",
      "      \"Pinus montana\": \"Synonym\",\r\n",
      "      \"mountain pine\": \"CommonName\",\r\n",
      "      \"mugo pine\": \"CommonName\"\r\n",
      "    },\r\n",
      "    \"parentid\": 139271,\r\n",
      "    \"name\": \"Pinus mugo\"\r\n",
      "  },\r\n",
      "  \"lineage\": [\r\n",
      "    {\r\n",
      "      \"taxid\": 28528,\r\n",
      "      \"rank\": \"species\",\r\n",
      "      \"names\": {\r\n",
      "        \"Pinus mugo\": \"scientific_name\",\r\n",
      "        \"Pinus montana\": \"Synonym\",\r\n",
      "        \"mountain pine\": \"CommonName\",\r\n",
      "        \"mugo pine\": \"CommonName\"\r\n",
      "      },\r\n",
      "      \"parentid\": 139271,\r\n",
      "      \"name\": \"Pinus mugo\"\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"taxid\": 139271,\r\n",
      "      \"rank\": \"subgenus\",\r\n",
      "      \"names\": {\r\n",
      "        \"Pinus subgen. Pinus\": \"scientific_name\"\r\n",
      "      },\r\n",
      "      \"parentid\": 3337,\r\n",
      "      \"name\": \"Pinus subgen. Pinus\"\r\n",
      "    },\r\n",
      "    {\r\n",
      "      \"taxid\": 3337,\r\n",
      "      \"rank\": \"genus\",\r\n",
      "      \"names\": {\r\n",
      "        \"Pinus\": \"scientific_name\"\r\n",
      "      },\r\n"
     ]
    }
   ],
   "source": [
    "# without the author string, limit the json output for readability\n",
    "!ncbi-taxonomist resolve --names 'Pinus mugo'|jq|head -n44"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "dcc3c749",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2022-10-06 10:13:05,227 MainThread [WARNING] entrezpy.conduit.Conduit: {\"empty response\": {\"queryid\": \"bgeOaMovSSq7PzjKqL6OqA==\", \"action\": \"skip\"}}\r\n"
     ]
    }
   ],
   "source": [
    "# Incorrect author \n",
    "# emtpy response\n",
    "!ncbi-taxonomist resolve --names 'Pinus mugo Smith'|jq"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "1c0ca48a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2022-10-06 10:13:06,546 MainThread [WARNING] entrezpy.conduit.Conduit: {\"empty response\": {\"queryid\": \"Qzb7fhDpTAGigSNeiGJOjw==\", \"action\": \"skip\"}}\r\n"
     ]
    }
   ],
   "source": [
    "# spelling mistake \n",
    "#empty response\n",
    "!ncbi-taxonomist resolve --names 'Pinus muco Turra'|jq"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "4f3ca3dc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2022-10-06 10:13:07,874 MainThread [WARNING] entrezpy.conduit.Conduit: {\"empty response\": {\"queryid\": \"0fjppbtrRbGqN6iZ4Hy1Sg==\", \"action\": \"skip\"}}\r\n"
     ]
    }
   ],
   "source": [
    "# without the authority string \n",
    "#empty response\n",
    "!ncbi-taxonomist resolve --names 'Pino mugo Turra'|jq"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "8e53aa40",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2022-10-06 10:13:09,188 MainThread [WARNING] entrezpy.conduit.Conduit: {\"empty response\": {\"queryid\": \"47YSf5yaQYuUg95rE9MW4w==\", \"action\": \"skip\"}}\r\n"
     ]
    }
   ],
   "source": [
    "# without the authority string \n",
    "# empty response\n",
    "!ncbi-taxonomist resolve --names 'Pinus basso Turra'|jq"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ed8bcf08",
   "metadata": {},
   "source": [
    "\n",
    "## A few other services to compare"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c3cf1b91",
   "metadata": {},
   "source": [
    "#### NomenMatch \n",
    "\n",
    "A few other web friendly tools \n",
    "http://match.taibif.tw/about.html\n",
    "\"NomenMatch is a tool for taxonomists to match a set of species names against other sets with certain authority. It returns matched names, ids, usage status, and links to original sources. So not only the matched results, users can also know about differences of name usage among different sources. This is important because we believe that there is no absolute right or wrong, and only different perspectives in taxonomy. This tool provides easily references for taxonomists.\"\n",
    "\n",
    "Test query link: \n",
    "http://match.taibif.tw/api.php?names=Pinus%20mugo%20Turra|Pinus%20mugo%20Smith|Vicia%20faba%20L.|Vicia%20faba%20S.|Vicia%20faba|Vicia%20fava"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "72f391cc",
   "metadata": {},
   "source": [
    "#### Taxonomic name resolution service\n",
    "\n",
    "2013 paper https://dx.doi.org/10.1186%2F1471-2105-14-16 \n",
    "\n",
    "https://tnrs.biendata.org/# \n",
    "\n",
    "This has a score but uses different backbone "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "f5b29682",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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E5TY3vOqPIxf7YXkfubGryUEl2+ff5+Jf/TZ37FLbLj6jbbD72NcBt46xVc5fjqclZRmMXSHFzOIMtJs7f7Wde11eQGBPl3Gwp8s8GBQC7QIJXhFAAAEEEEAAAQQQQAABBBBAAAEEEEAAgc0rQKDd5vVn7wgggAACCCCAAAIIIIAAAptYoDgD7R57Yap9+NU8f0ZDbt7OBZzlBdr9+Nsiu+3RiX7+uX3a2O471inwrJ94aZq9/8VcH6z28KBtrXq1vG1pxcIG2j396gx759PZfp/R4yoo0O6CG0bbn3NWWYtmVewWN4RtQUXbG/3HUl/tn3s3Co852+d/zZ3jbNykZT6gb7A7rvp1KxV0aBu9vDgD7ZQNUNtX0TDAGg44KATaBRK8IoAAAggggAACCCCAAAIIIIAAAggggAACm1eAQLvN68/eEUAAAQQQQAABBBBAAAEENrFAcQXaaejYy2753abOWGm1alayh27YJjyzNz+abc+9McO/v/EiN2xsy6rhslQTb3082559PX6dwgba3fTgHzbi9yVWt04lu/+6DcdVUKBd7/6/2Nq1ubZD51p2yZnps/ClOg/Nz/b5R4da1TC9px71/+zdB3gU1drA8ZdAQiBAQu8dpNpRFIR7vVe9dlHsKKJiASwIIoqKiqJgwV7hs4DYUey9oWJFmoD0GnovKZTsd94TZ5jdnd1skg2Q5H+eB3bKmTMzv4VJ5sw772kobVpWinYIhV5XlIF28xfvkLseyx2it7fJuvefY6u7x0ugnUvBBAIIIIAAAggggAACCCCAAAIIIIAAAgggsF8FCLTbr/zsHAEEEEAAAQQQQAABBBBAYF8LFFWg3cQv1shbH6+yp3PmCbXlwjPquqfmzSg3+oFD3ExvbgWfiV+mbpYnXl5i1wy+ppkc2raKWys/gXZzF+6QYU/OFw0EPKJdFbn56r0Bc9EC7XZk5MhVt82w+zyxcw25/PwG7v7zOxHv89f9PzN2qfw4ZZN7KC2bpMixR6bJMYelSVqV+Ge4K8pAuxHPLJQZc7fZcwkNxCTQzv2KmUAAAQQQQAABBBBAAAEEEEAAAQQQQAABBParAIF2+5WfnSOAAAIIIIAAAggggAACCOxrgcIE2l3Xs7HUrVnePeTsnTmyZv1OmfT7RpmzIHfI1FbNUuTmq5oHBdM9++oy+cHUKVu2jIwbdai7fbQJbxBc30sayXFHVXOr5xVop0F1GzfvFA3Wm/jlWtmRsVsSExNEg7jq19l7/N59XHtxI+nace8+1m/cKTfcM9vus9uJteX80/cGDroHEuNEvM/f2a1mths/caVkZO5xFkmZMiKtmlWSLh2qyXFHV5XEcmZBHEq8A+2ysgKyND1D3v1stcyclxtk18V8x33Md+0tBNp5NZhGAAEEEEAAAQQQQAABBBBAAAEEEEAAAQT2nwCBdvvPnj0jgAACCCCAAAIIIIAAAgjsB4HCBNpFO1wN8DrLZLI799Q6kpAQHNz1zLhl8uMf+Qu000x09zyRO5xonx6NpMvRe4PgvIF2GkAXGkymAYB79phou3+K1ultMtJ529BVMQfanWQC7U4reKBdvM/fOS/91Mx7k//cKD/8tlEWLM3wrpK01ETpa+zat6octLwgMwUNtNN/FxWSywbtMsdEQmZl5QQta96ootzer6UkJwf/2yHQLoiJGQQQQAABBBBAAAEEEEAAAQQQQAABBBBAYL8JEGi33+jZMQIIIIAAAggggAACCCCAwP4QKEygXVJSggmi23vUOSZWaqcJatMSOlzs3loir7yTLp//sM4uinXo2D9mbpFRYxbbbQaZ4V4PN8O+OsUbaOcsC/3UAK9UM4TqEW2qyDmn1JFqaeHDqUYLtNOMa1cMnm6bPblrTenZvX7oLmKej/f5R9rxqrXZMtkMJzt56iZZtSbbVitnMtrd2KuJHHlwaqTNYlpe0EC7aI3rv6f6tZPljP/Wko5myFv9zkILgXahIswjgAACCCCAAAIIIIAAAggggAACCCCAAAL7R4BAu/3jzl4RQAABBBBAAAEEEEAAAQT2k0BhAu1G3NJKGtWv4B65DtE6eOTfsmJVls2e9tgdbUSDp0LL+1+ukTc/WmUXPzColTRusLeN0LrO/KffrZNx76Xb2fsGHCTNGld0Vok30O7Uf9eSTkemuet0Irl8gtSslmSHiw1aETITLdBOq157xyzZum2XdDBBagN6Nw3ZOvbZeJ9/XnvW7+XnPzfJK++ulG3bd9kMgyMHtw4aNjevNkLXFzTQLjk5Qe7o1yKouQQTUVfVBD6mVi4XtNxvhkA7PxWWIYAAAggggAACCCCAAAIIIIAAAggggAAC+16AQLt9b84eEUAAAQQQQAABBBBAAAEE9qNAPAPt9DT+/GuLPDw6N/PcuSZz3Dkn1wk7u1+mbpYnXl5il2vAmgau5VXGTkiXzyats1nOnr23vVTxBGV5A+0uPae+nPKvmnk157s+r0C7ux+bL/MW75CmDSvK8JsP8m3Du1AzyqWvzrKLdLhWDfjTEu/zt43G8NfsedvlvqcX2JqXnm2c/l0wJ22goIF2FSuUlTEjDo7haP2rEGjn78JSBBBAAAEEEEAAAQQQQAABBBBAAAEEEEBgXwsQaLevxdkfAggggAACCCCAAAIIIIDAfhWId6CdnowTkKaBZaNMVrs0M2Srt2Rk5sg1t8+UPXsCMWWHy8kJyIDhc2Tt+p3SrFFFuW9gcJDbvgq0e278Mpn020abEe7xoW2letXg8/Keo04/8dIS+WXaZpvVT4PLypXNHQs1nuf/4ddrZYoZVlfLrX2au8F8doHPX1cP+Uu279gtR7RLk5uvbuJTI7ZFBNrF5kQtBBBAAAEEEEAAAQQQQAABBBBAAAEEEECgpAoQaFdSv1nOCwEEEEAAAQQQQAABBBBAwFegKALt5i3aIXc/Pt/u7z/HVpfeFzYM2/dDzy+WqbO32Ax1D9/WRurWLh9Wx1kwecomeWrsUjt7wel15awTazur7Oe+CrRbuDRD7hw1z+7ztONrS49udYOOwzujQYQ61OyOjN1yeNtUGXRN8FCz8Tr/D75aK298uNLu+s7rWkiblpW8hxE0rUPIXnXbTMnI3CNHtk+VgVcFH1NQ5TxmCLTLA4jVCCCAAAIIIIAAAggggAACCCCAAAIIIIBACRcg0K6Ef8GcHgIIIIAAAggggAACCCCAQLBAUQTa6R4efmGR/Dlrq83+NnJwa6lfJziQToPjbn9knmi2uiYNKsgtVzeTtNTwDHErVmbJyBcWyoZNu+z6R4a0lgrJZYNOYl8F2ulOH3txifw2PTdL3S1XNZO2B/kHtr3+wUrRbHNa+l7SSI47qpqddv6K1/mv27DTZvvTwL4m9SvI3Te1lKTE3CFqnX05n3+YzHejxuQO6+sXsOjUi+WTQLtYlKiDAAIIIIAAAggggAACCCCAAAIIIIAAAgiUXAEC7Urud8uZIYAAAggggAACCCCAAAII+AgUVaDdilXZMnjkHNEsan4Z3fRQ3vp4lUz8Yo09Kh2G9fxT60rLpilSs1qSpK/OktkLt8tbH62SrOwcm/mu/+VN5ahDU8POYl8G2q1ely23PjhXdu7MkbJmKNgeZ9Wz2eFqVk+y57p2fbZ8/M1a+frnDXa+46FpcuMVTcKOWRfE6/zf/mS1vPf5aruPhvWSpfvJdeSQVqmSnJw7VO32HXvku183yLumTlZWjqRWSZLhA1tKtbTwwEbfA/VZuL8D7ZKSEmTELa18jix4UWrlcmGBmcE1mEMAAQQQQAABBBBAAAEEEEAAARXIyMyRpSsyomI0blBRKlbIfcEvv/WjNhzDyvzuL7/1YziEqFXyu7/81o+6c1YigAAC+0mAQLv9BM9uEUAAgXgIZGRkyMKFC2XXrl3StGlTqVq1ajyapQ0EEECgVApwTS2VXzsnXUoFiirQTjmfG79MJv220cre3q+FtPPJ/vbuZ6vlnU9zg8Scr6CMiQ/TAD2nlCtXxmSFayzHHJ7mLAr63JeBdrpjDSJ87KXFsnJNlnscKRXLmYDAPaKZ5ZzSqlmK3HJNs6iBXvE4f92fBiR+YDLoaYZAp1RKKWePJzNrj7PIBN8lyJA+LaRFk4rusoJM7O9Au1iP+eqLG8m/OwZnE4x1W+ohgAACCCCAAAIIIIAAAgggUBoEtF9lgumb+eOvLXme7p3XtZA2LXOz+8+Zv13ufWpBntt0aJ8q3U+pI43NiAYFKRxf4fwKYs42CCCAQKwCBNrFKkU9BBAotgIbN26UatXi/6Bp06ZNkpaWZjKN5GbN2JdA69atk3vuuUc+/vhjd7ddu3aVV155xZ0v6MTQoUNl3LhxUqlSJZk5c2ZBm2E7BBAooQJFde0rqnZj+Rq4psaiRB0ESpZAUQbabdi0U266b47s3p07POz9g/wzkM1duMNmgZsya0tQgF2iGQK18xFV5bT/1Aobetb7LezrQDvdt2bZe8MMDztz/jZZvTbbPe6EhDL2WLv/r44cfZh/YKD32HW6sOfvtLfcDLP79U/rZdHyDFmSnmndnXUadPffTtXltONrSaWU4KF3nTr5+STQLj9a1EUgvgLZ2dmydu1aqV+/vhme23+o6Gh7LOz20dpmHQIIIIBAfAUef/xxeeyxx2yjc+fOlaSkpPjugNYQQAABBEq9gAbYTTAvQcZaChJo57StGfg14C4/hePbq1UQv71bM4VA6RHYun23VKlULuyE+987W9au3ynHmD7bGy5vEraeBQUTINCuYG5shQACRSQwfvx40c4ULUOGDJFu3brFtKdHHnlE3nzzTVtXO2I6depkp3v16iXff/+9XH755aIBZPEqzzzzjDz88MPStm1b+fDDD/dpsJ1mrzv11FNlwYK9b8zUqFFDunTpIqNGjSr0KRJoV2hCGkDggBGI9zW1qK59RdVuLF9Eab6mvvHGG+7PjbFjx0rr1q1jIaMOAgjEWWDXrhxZt3GnbNu+xw5rWs0MJ1vWBK4d6CUrKyArVmeIZrWrZYaQ1SFlC1Lief6aWW/5qtyMe7Wql3eHdSnIcbENAgjkT2D37t3y9ddfy4QJE0wQbkBGjx6dvwZ8auvvaQ899JC9p9dM7nv27JEKFSrY31kuueQSOeecc3y22ruosNvvbYkpBBAo7gLz58+XHj162NO48cYb3enifl4l9fgJtCup3yznhQACCBwYAmMnpMtnk9aFHUyj+hUkpYL/S3o9z67vZqbTFx/Hvpcetr0u2JG5R5aZlwBDy8lda0rP7vVDF/vOc3yF8/NFZWGpFPh28kZ585NVYeeeXL6MVE9Lsv2ZnY+sakYjqWye84dVK1YLRjyzUGbM3SZ+1xoC7YrmqyTQrmhcaRUBBAoosHr1auncubMZ/ilHYs3QpnWPO+44WbVqlVSvXl1++eUXKVdOh4zaI4cccojoUIDt2rWTjz76qIBHFb7ZFVdcId9++615oFhW/vjjD5vZLrxW0Sx56aWXZNiwYbbx7t27y7XXXistWrSI284ItIsbJQ0hsN8F4nlN1ZMpqmtfUbUbyxdQmq+pL774otx7772WSYPG27dvHwsZdRBAAAEEEEAAAVdg1qxZNrju/fffF80mr+Xf//636O9YhSkbNmyw97p6v+2UihUr2vt7Z75nz572hTq9Lw8thd0+tD3mEUCgeAsMHz5cxowZY0+iTZs28sknnxTvEyrCo9cXe6dNm2b3cPrpp0tycnIR7s2/aQLt/F1YigACCCBQeIE/Zm6RUWMWuw3VqJYk55qMc107xndUrEm/bpR3TMa89ebFSqcM6N1UOhyc6sz6fnJ8uSwF9fNFZWGpFfj0u3UyLkJQrBelbq3y0veSxtK8cUXv4rhN78jIkSkzN9v22rSoJDXNC8vxLDk5Ael960w7EkljEzD8wC3Bo6sQaBdP7b1tEWi314IpBBA4QAQuu+wymTRpkg1i+/XXX23wXLRD0zoXXnihraLBGnfeeadb/fPPP7dv1Z9//vnSoUMHd3lhJ/Rhgmb/Oeqoo+Tcc88tbHP52v7666+3QYP6MOH333+XqlWr5mv7vCoTaJeXEOsRKF4C8bymFtW1r6jajeWbKs3XVALtYvkXQh0EEEAAAQQQ8BMYN26cvP766zJnzpyw1fEItLvppptk4sSJNnv8LbfcInpPX61aNVm8eLGMHDlS9F5fyxNPPCFnnHFG2DEUdvuwBlmAAALFVkAzbh5zzDGiAbhO+eCDD+Tggw92Zvn0CLz88styzz332CW//fab1KxZ07N230wSaLdvnNkLAgggUBoFbhw2W9ZtyA1+0wx2Q69vWWTZ8DMyc2TYk/PdDHcaXPP40LZR2Tm+vTwF8du7NVMIiHgD7Xpf2FDq1ihvWTKz98gSk5lyyfJM+XP2VpP8J2AS+JSRqy5qJF06xPeZu+5Qs1ze+uBcu+/rL2ssxx4R/338Pn2LTPlrixx/THVp1TzF7sv5i0A7RyK+nwTaxdeT1hBAIA4C+iZ8//79bUuaaUeHhIlWNLDu1VdftVVKQ0YefYjw119/SceOHUWH/Yt3IdAu3qK0h8D+FeCaGt2/NF9TCbSL/m+DtQgggAACCCAQWeDII4+0GezKmPFVjj76aDuM67PPPitLliwpdEY7DYY59thjRYd+1ZciBgwYEHQgmr1eA+/+/PNPOfTQQ21AnrdCYbf3tsU0AggUfwENzNXRIPSF1UaNGtmA3UsvvdQdLaL4n2F8z4BAu/h60hoCCCCAwIEjMGf+drn3qQXuAWnQW7wzS7mN/zOhw8ze9lBugI0uemBQK3cI2tC6HF+oiEh+/MK3ZklpF/AG2o0wWd40uDa0/L1guzw5bqls2rzLBtsNH9hKGtaLb0bnfRFoF3pe3nkC7bwa8Zsm0C5+lrSEAAJxEsjMzLSZ4nbs2GE77N98882ILWsHu3bq6xA1rVu3lk8//TRi3VhWaHta/IaeiWX7SHW0XX0AkZCQEKlKzMtPPPFE0WEc/ve//8lzzz0X83b6kCIxMTHP+tEC7fQ8CmoT6/7zPEAqIIBAvgS4pkbnKs3XVALtov/bYC0CCCCAAAIIRBY455xz5Pjjj5du3bpJw4YNbcWTTz5Z5s6dW+hAO73P1ax1ev/8008/SZ06dcIORPsJbr31Vrtch4DUoSCdUtjtnXb4RACBkiFw1VVXyVdffWWvWccdd5zoS72pqamiI2SUL5+b1SI/Z5qdnV2g7XQfO3fulKSkgg0VVdh+Nc3sV65cuTxPtaCBdoXp+ww9NjLa5fk1UQEBBEqIgF7b9UWVTZs2Sf369e2fEnJqB+RpTPh0tUwww7lqObJ9qgy8qqnvcY6dkC5LV2b6rou0sHG9CtKze33f1fc+uUDmmGAeLd3NMLXdTwm/v9F1HF/h/NSQgoBXIJZAO62vQXY3DZ9jflfPkSYmGO/+kKFXvW16p3fvMZnwypbxLvKdLkygXaz78N3xPwvzG2i3a3dAEk2GP0p0AQLtovuwFgEE9pPA4MGD5a233rLBaZMnT/btWNdD++677+Tyyy+3RzlkyBDRzjNvueaaa2T16tWiHWmDBg3yrnKn9UL4yiuviHbOr1ixwu6zWbNmNmOcDjfjNzTrk08+aTvp0tLS7LZuY56JhQsXig6nM3PmTJk9e7Zoh5O+OdulSxf7Vr4OexNrWbp0qdxwww22uj640E497RRs3LixXdagQQN5+umnw5r7/vvv7TCzM2bMED2e5ORkadKkic02oG/v+gXehQbavfvuu6J/dGjHjIwMadeunfXUzAJ+2zsHsW3bNhkzZoxMnTrVZuDbsmWL1K1b1w7Noa4HHXSQU5VPBBAoYoF4XVNjufZxTQ3+Mg/kayqBdsHfFXMIIIAAAgggUDiBeAXaDRw40N6DtmrVSj777DPfg9L7fM16p+Wpp56S0047za1X2O3dhphAAIFiL7Bu3Tp7rdA+OR1qWq8bOoysM+839LTfSWtWPO3j076xzZs3S/Xq1W2/lvZJ6stbkUpWVpZoYPDbb79t++W0P08DKdq3b29H89DrXKQSCARsX6UGvmm/om7bvHlzu+2NN95o+xhDt9Xg5AcffNAGKk+YMMEGE+p9nx633qu3aNFCjjjiCLn55pvtOTjbr1271u1T1ayg6enpdlXbtm1tcF69evVEs5aGFu0nHD9+vD0/Hdpb+wn1nPSlaD3GihUrhm7izs+fP99ev7XfUPtjtb/ysMMOEx0uXM0ee+wxW1f7QQsanOjujAkEECjWAtu3b7fXgXhfC4qq3ViwNfBan+foCyI6rUWvofPmzYtl86h1NCmFZp/WoqNBXXHFFVHrl6aVz766TH74faM95WgBb97AuFh92rSoJHde38K3ujeA7uSuNSMG5HF8hfPzxWdhqRaINdBOkd74cJV88NUa63XvgIOkeWP/32M3bNopH329Tn6buVk2b9klKRXLSeO6yXLUYWlyUpcaQd4Pv7BINm/dLTt358iKVVl2Xa0aSVKpQu7LL7dc20yqVAp+EUaHTP7427WyYPEOWWQyYmZk7paqaUnSvGEFOe+UutIgQra9R0Yvlk3meNq3qiwXnlE36DhiCbSbOmurfPTNWlmxOlu2bc89r3q1ysuJx1WXzh2qmdiJoCaZMQIE2vHPAAEEDkiB3377TS644AJ7bHfccYdceeWVvsepHUPacaRZ1n7++WepWbNmUL1///vfokFqp59+umiASGjRjiR9E9/pQApdr0F22mnfqVOnoFVO0EqNGjXk999/D1qnMzqErb5drx1OfqVy5cr2uFu2bOm3OmyZdirpQ4tIRTva9O1cp2iH4cMPPyzPP/+8aMecX9E3/tWuQoXgVLlOUIh2hml2gtdee81vcxuIqJ1sfoGI2gHYt29fa++3sX5fmqGge/fufqtZhgACcRaI1zU1r2sf19TidU0l0C7O/9FoDgEEEEAAgVIuEK9AO30p7Mcff5SuXbtGfLFNsx8599OhfQaF3b6Uf42cPgIlSkD7xUaMGCEpKSnyxx9/2BdQNeDg22+/tS+RavBcXuWZZ56Rhx56KGI1vfZp32HoCBDaN6cvBOu+/IrW16Cyq6++2m+13H///TJ69GjfddqvqMeko114i75E3K9fP7tI++X0/PU4QosG+2nbTjZQDXTTF4MjFQ2CCz0PDQzp0aOHdfXbToP61M65Vnvr6IvT+gKvBrmEFn0xWY9Lgwa1EGgXKsQ8Age2wN9//y09e/a0B6nXKM0iGkvR64JeE7Xo73J6jdCiz3z0uq0JBN5//33fIGNbMZ9/FVW7sR6G08fq1NdnLHpt18QJhS0HeqDdf//7X9EkDfpz55FHHins6eZrewLZChfIdqD75esfA5VLhUB+Au12ZOTI1UNmmGfqIpECYteu3yl3PjrfBqL5AR7Rror0vbSJVKyQO7rdDffMlvUbc4Op/eo/fU87E0SX6K7SoZIfe2mJrFmf7S7zTiQklJFrLmooXY4OT+QTLZgu2jpt/5mxS+XHKZu8uwqabtUsRYb0a0GWuyAVAu1COJhFAIEDRUCDwzRIbtmyZXLIIYfYm6jQY9M3OTt06GA7ZXTIGg0YCC3RAu00CO7CCy+0Gec0M93tt99ug8e0802z6GmH1qpVq+wbntpRVatWLbd550bIL9BOb4Z69epl63bu3FnOP/98+4BAU4B//PHH9k1PHcpR3/DU+dCOOHcnngntvFILLRp0qNPa9t13322X6dtcmi3PKfr2qvOm6UUXXWSD9PQtJh0WY+LEiTYQUOtecsklYTe7TqCd05a+mXvqqafK4YcfbtOYayfk119/bVefeeaZosM5eIu+2auBiXqOmhlQb6z15iknJ8e+ifvqq6/awEYN5NOhfr3H7W2HaQQQiJ9AvK6p0a59XFOL3zWVQLv4/R+jJQQQQAABBBAwndFxGjpWH8pqNg99KS7awzftK9CHdHqPrMF2Tins9k47fCKAQPEX0D6tBQsWyHnnnWczvekZ6cuxOmqEDk89adKkqMP0ffDBBzbznN5Ta+ZMzWCnIzRof6GO4qCZ6rRoQMiAAQPstPOX9jPqy6u6H92fXps0wG3OnDk2SE4D/8qY1BBjx461QX/OdvqpfWeahUi31UC8c8891/ZP6ogVw4YNc0et0MCU2rVru5t6A+10oWbv03PXLHb6kvE777xj+wV1nY6Sof172i+pwcvab6nlvffeswFyOq2jjWjwR2i/o3roOX300Uc2METP9V//+pduYk3vu+8+e33WUTHUW8/TKWqndXW4RA2c0SykmmlQ+w018EXvUzU7hFM0aKcgQ/w62/OJAAL7XuCEE06w16lKlSrZYNxY/g9rFky95mrRa5kTCOwETOvyF154IWoWUa0TaymqdmPZvyYp0MQQei3VZy4aYNixY8ega2Us7USqc6AH2jm/w+u/k0gB5ZHOrbDLvZnlomWgOxCGjuX49n7b3gyD0TIR7t2CKQRyBfITaKdb9B1qslebrHB+//+2m0C8ux6bK6vWZEvd2uWlZ7f60rxJJfM77y75/reN8uHXa8KC9Nasy5bd5p2XVeuyZNSYxfagepxVTw5rm2qn69RKkrImeE6Ltn/dXX/Z4WvraiY5kx3vyHapts1fpm2WL35cLxtNNr2kpAR5cHBr0cx43hItmC7auk+/Xyfj3s3NZn2MycqnQXzNG1WU2Wa460m/bpRpc7ba3Zx0XA3pdV4D7y5L/XRJyWinv5DYYm7IAuYtrYC5UQuYIJyAeSsqYIaTcFbziQACxUjg0UcfDZg3Ju0fk5Uu7MjNEDLuetNpE7ZeF5iOG1vnuuuuC1tvOnLsutatWwfM8AZh600HU8AMkWDrmDevgtabmx+73AT6BS3XGd2XHrfpQAuYjqqw9c62Wsd0roWtz2uBuQGx7ZthcX2r6j7NjZmtYzq6fOs4LuZGLmy96ciz2+rx6T70uuoteo01HYi2jsmkF1AnbzGdge4603nmXWWnzTC0bvsvvfRS2HoWIIBA0QjE45rqXL/8rn1cU5sEits19f/+7//c67EZ5rxo/uHRKgIIIIAAAgiUGgG9B9b7SPPiWaHO2bwkZtu57bbborZjAjNsPRPcElSvsNsHNcYMAggUW4EpU6a49zvmhVr3PMxLYgETAGbXmeFJ3eWhEwsXLgyYbGy2nhm1InS1ndd+N73umRdNA5s2bXLrmAA8d98mcM1d7kzocwvzUqutYwL4nMX2U49V+9u0Xb1nCy0mgCJghli1602QcdBq80Kvu9+LL744YIauDVqvM+bFYreO37FpX53uW/+YrPVh2+sCddP1epx+95J6Dk4bJhgvqA09Zl2nZvodhRYTWBc49NBD3e39ziF0G+YRQODAEjDZLN3/w/oMJ6+i12XnOYxeG73FDGcd0Gcz2q+p1854laJqN5bjc56f6LXwiy++iGWTfNXRc3OuwX4/R/LVWBFUPvjgg+3x9e7duwhaj97k7HnbAhfdMNX9s2R5RvQN4rBW9xHrPjm+cPD8+IVvzZLSLvDJt2vd/39LV+T9//3ux+bZ+v2HzQ6jG/bEfLvOBMMFMjODn5tr5bc/XmXXXzpgWsBksQvaXvftXAcmT9kYtM6Z+eKHdbZOj/7TAmZ4Wmex+/nDbxvcNj79Lvx39BuHzbLrH39xsbuNMxFt3V2P5p5z36F/BXbuCj+vkc8utO1eOXiGiRdwWuRTBTQGTWPR9PcTjU3T+InQmIriIEWgXXH4ljhGBPIpoMF1zg2BGYIhbGszBIJdr50vkTpdnIAyv0A7DRTR9k0Gt7C2nQVOUInJ3OYssp/Ocr9gE5PRzt4g/fXXX0HbODNmCEf3vLTjLb8lr0C7HTt22P3rTdrKlSt9m3/iiSfcY1i+fHlQHSfQTgMQtS2/smjRokDTpk1tGw888EBQFe1g032boX6Cljsz3htnM/Svs5hPBBAoYoF4XFOjXfu4puY+iChO11QC7Yr4Px3NI4AAAgggUMoE4hVopy8v6L36kCFDogpGCrQr7PZRd8pKBBAoNgIaHKfXEr1W6EMPbxk0aJBdZ4ati/gwxAmE0GA7vxdJtT3td3P6Lr/55ht3F96XcCM9bHFeRNWAM5Od093WZLCzbf7nP/8JO26n0sMPP2zrmIxPQcfvDbTzC4DT7bWvzwnUM5nynCbdz7wC7fQFX5Mhz+4/UgCiNqZtq43JAui2rQ+inODFSC8Qa+VRo0bZbXX7SH2+bqNMIIDAASeg10a9tun/YTOcdZ7Hp0kUnGupyRaaZ/3iXkEDB/V8TYbUIrnGEWgX/V/I9XfnBqNo0MutI/8O7MgI/h0h+tb5W6tt6z6cABvdd16F49srVBC/vVszhUAgkN9AuydeWmL/v15+y/QgPm/A54+/+wfKZWXvCVxy0zS7/QdfrQnaPpZAu0VLdwT+mLE5MPPvrUHbOjPZpv3LB0237T8zLjw5UbRgumjrNKhQr1EacOdX/l6wPWAy3tk/RXm99Nv3gb6spATalVFozU+oH/rH3MDaP5qC3NzABaVQL/V5DAFAoBgJ6LCrv//+ux1m1bz95B656RSyw8aazhYxb2jK8OHD3XXeiUhDx5qbPTv0qtbVYRx0iAK/YgIm7BAT5cqVE9P55laJNnyiWynChHkb1KYC19U69Otll10Woab/YmfYCx1y4rnnnvOvlMdSZ5gMraauOoytU5yhYzW1u+mUcxaHfeqQGZrm/KSTThJNtZ6fokPJmmA9O7SQM8RtfranLgIIFEygsNfUSNc+rqm5Qw/pt1KcrqkMHVuw/0dshQACCCCAAAL+AvEaOlaHODSZoaLe6+sRdOrUyQ7fGDrEbGG39z87liKAQHESyMzMlKOOOkq0/7BPnz52WD7v8esQpdqfqGX8+PH2euJdr9PmRTM7NKwO5/fGG2+ErnbndfhZE8gnLVq0kIYNG9rl5sVfWbZsmehQiP3793freid06GsdPlaLHqv2w+mzjPbt25sho3baYWq1j86vfPnll3ZIWV1nXuiVmjVr2mreoWN1WFcdutWvRLq317ovv/yy3HPPPXYzb9tOO7rsggsusLPaL6n9k35Fh481L3eJyXonX331la2i/Yjan6jFZLySU045xU6H/vX444+LyZpnF8+dO9cOXRtah3kEEDiwBS655BL56aefpEKFCvZaV7FixYgHbAJvxby4b4ey/uWXX6RGjRoR68ayQq+hOuR1vIteoxMTEwvdrA4NrkOEp6amyrRp02JuT3/W6FDcOqx4tBJt6FgdKlyfdRWkxOv89+fQsXref8zc4g7hqPM1qyfJuSfXscMl6ny8yg9mKMl3Plst6zbsdJsc0LupdDg4d8hId2HIBMeXC1JQvxBOZku5QH6Hjn3qlaUy+c9Nklw+QV588BBX713zf/mdT1eba7DI88MPlkopZd113onbHpwrS9Mz5YRO1eWKC3LvC3T9MrPsVrNOy/WXNZZjj6hqp/P718Dhc2TV2mw56pBUuenKpkGbRxseNtq6F99cIV9NXm/b6nVuA/lv5+rucLZBO2AmTKCkDB1LoF3YV8sCBEqGgHZkmeFi7MnozZZ569FOT5w4UW666SY7PWHCBNGOdL8SKdDu888/l2uvvdZu8t1330njxo39No+4LFqHlLORBpKNGzdOtENIg1A0wE5vhrTozZ6Wog60047Dt956y3bumbdvRW+ynGBkvanSUtCgkKuuusp2lGmnnXbehZbNmzfbzkoNlNR9q4Fz3npTpsehD2IItAuVYx6BohMo7DU10rWPa2qOFMdrKoF2Rfd/jZYRQAABBBAojQLxDrS76KKLxAxxGJHSCbQ777zz5MEHH3TrOYF2Bd3ebYgJBBAotgLaV2hGUbDH7+1PdE5IX9LXF2q1r6pbt25ihiR0VrmfGgRmhjGNuN6tGDKhgcJOP+WIESPcoLSQar6z6enpctxxx9l1ZiSJiMkDNIDQeTnW2y8aa6CdGTlEHnnkEbufOXPmSHJysns8eQXaeW3NKCM2iMbd2DOhfYEms76UL19edB8aHOLtO9C+Xd3erxBo56fCMgSKl4AZmloGDBhgD1r/T5sRg3xPYOvWrTahgj4vMJk8bYCut6I+u3Gu0U8//bQ0aNDAu9pOazKGN9980wZHm2G/xQzhJvXr17eByxrs7E0y4GwcS7saEG0y7MnUqVPFjF4kW7Zskbp164oZ+tQ+mzIZ6ZzmYvrU4ENtU6/1JuucDSz0BkTr9bdq1eDgCz0ffcak13wNVtbnS40aNbI/w66//nqpVq1a2L5DA+3OOOMMeeihh2T69Ok2qUTt2rXt9Vef7zg/r8Ia+WeBGb3JPvuZMWOG6LHoz4smTZqIvuhy6aWXFijwcH8H2umpjZ2QLp9NWhd22o3rV5CKFfwDaHqeXV8aN6hgt1m6IlPGvpcetr0uyMjcYwNtQlee3LWm9OxeP3Sx7zzHlxnmkh+/sI1ZUGoF8htod8/j82Xuoh02APfxoW1dt+fGL5NJJni2bNkyclDTFHd56MSylVmyI2O3HNy6stzWp7m7Oj+BdtszcuSrH9eJySQnG7bsko2bd8mu3Tm2LZOk2zxbNy/pxDHQbu36nfLQ6EWSvjrL7qNSSjlp37KSHGmCgo9oX0UqJPtfE92TK8UTBNqV4i+fU0egOAjojYe+1ak3R2bYBRk4cKA97CuuuEK+/fZb0U4nMzRDxFOJFGinb03qzYWWWbNmSbQ3qvwajxRsonU1gOz222+3b7vqtJbKlStL9erV7Y2IBmMsWLDALr/rrrukV69edjrWv2LJaKc3fWZoBnsTqO3qW05paWn2xkvfWNIbWO1M1PLpp5+KGSbWTutfsWa0c97s1fNy3sB1GtEbW337Vd8g1qI3YPommr6dq0VvyvTmmUA7y8FfCOwzgcJeUyNd+7imFs9rKoF2++y/HjtCAAEEEECgVAjEK9BOH7IuXrzYPpDVB7ORypFHHmlfJtMsKGb4QrdaYbd3G2ICAQSKrYAG2mpWJA1AiJQVTl9MnTx5su2z0ixt2nfnLfqyr/bhaSCCGcrauyrq9J9//indu3e3dTSjm16TYi0aBKGBf/kp3qxysQbaeV/C0yAKDdpwSl6BdjqqhQYQ5qdoxibN3PTKK6/Yl451W305uE6dOr7NEGjny8JCBIqVQEZGhn2uo58nnHCCjB492vf433nnHTHDedt1Gkh36qmnBtXzBuxpNk/NHuotGnim12l9VuRXypYtazOUmmG5g1bn1a4GtfXt29cGDAdt+M+Mtjty5Ej3eu9XJ3SZ8zJI6HJnPjSLqI5KpL/jqqFf0Z9bGvzsJKdw6ngD7TTITtvVYIDQoln/9Hp+9tlnh66yAX1mmHI7kpHzjCu0khm+3O5fsxbmpxwIgXZ6vBNMdqoJJktVrOXO61pIGxN8omXO/O1y71O5z/hi2b67yZjX/RT/n3mRtuf49soUxG/v1kyVZoH8Btr1HTpbNm/ZaYPp7u6fm/hH/UY+u0im/701ZspGJmh3xC17R5KLNdDum583yNh3003SmtzAusTEBEmtXM4Eu+VmMl25JttcnwM2M6ZmyPSWaFnroq3TNjKz9sibH66SX6Zvka3bdrnNlitXRg5pVVkuPL2eNKi398Uct0IpnyDQrpT/A+D0ESgOAjrMwgcffGDflNEbJn0z9Oijj7adXRp4pwF4kUqkQLu3337bHTYiWsdOpHYjBZtofX0jVN8M1aJZ83QoCmfoCF1W1EPH6s2lvh2lHYopKSk26E+HZahSpYru3pZ4DB3rZLTzDgGhjeuQGRoIqcehN9H9+vWTww47LHfH//zN0LFBHMwgsE8FCnNNjXTt45pa+KFj98c1lUC7ffpfj50hgAACCCBQ4gXiFWjnDDXWuXNnO6yWH5wGv2gWEX3wp8Nv6T2oUwq7vdMOnwggUDwFdMhWHbo1P0WHOe3Ro0fQJnoN0pdUL7zwQnnggQeC1kWb8e5fhz8966yzolUPWqdBxk5gnr5Aq/2feRXtc3MC1mINtPO+LOcEwTn7ySvQ7vXXX3cDDzXraGj2Jacd76f2A+pwizoihmZg0uIXMONsQ6CdI8EnAsVbQAPoNJBO///rqDcacBtaevbsKT/88INNEvDrr7+GDfmaV0CcJjx47bXXbKKBG264wQ5nrdnsNJOmJlrQBAGaUXPs2LFuxlA9hmjt6kg9mjlZkwg0a9ZM9Bj1OqbZUPU6q8O+alY6Td6gSQy8wcqh5+ed12u8PjN54oknRJ/P6LMbze7pFE0qoQF8WjQIutc/CRr059H5558vXbt2lSVLlsjHH39sRxLS49NsfTrvbKfbegPtdF4TIGj2Oc2YqvvUwDsNEtTsqJqgQbONhgYwarZoZyQiDV7X3/P1JRf9jvSY9fi16O/d9957r52O9a8DJdBOj1cz0+lwkFP+2pLn4Rck0O7I9qnS85z6NjtWnjvwqcDxFc7Ph5RFpUwgP4F2GZk50vvWGVboP8dWl94X7h361RlSNrVKklx+br08FSuUL2uz2jkVYwm0mzFnuzz4wkLzsyYgR7SrIt1OqiMtmgQPu14UQ8c6x6ifmjto7sLtZojtrTaw0Mlyp0Pp9ru0sc1y561f2qdLSqCddqzZYn7RCZhfVAImU1LAZMAKbN++PbB69WpnNZ8IIFAMBUwa74BJR23/mBTVAXPjZKfNjUdgxYoVUc/IdKzZuiYYL6ieuZlw25wyZUrQulhmTDY3u32HDh2Cquv1p23btnadGRY2aJ0zYy687r5N55WzOOZPE7xmtzdv7ftuY95+dds3w8L61jGBi24dMwxGUB3zkMKua9++fdDy0BnzNpStZ274glaZjkC7/PTTTw+Yhx9B65wZ02lo65hARGcRnwggsI8ECnNNjXTt45paPK+pJruCvRbrz1gzBMU++hfIbhBAAAEEEECgpAr873//871HzO/5moeytp2TTjop4qYm+MX9PUbvb72lsNt722IaAQSKn4DJwGOvD+bF0ID2TUX7Y4YutXVNMFzYiZoXZ+06E2ARti7aAu0LMwELdlsT0Batatg677ZmqMSw9XktMMEWdr96j2eGOYxY/Y477rD1zPCHYXVeeukltw3zsnDYehNk4a43GQHD1kdb4O2zNEEkEauaAEV3H/qMh4IAAsVTQK8RznMdMwJO2EmsX78+oNdqraPXJb/y7rvvum3Mnz8/qIp58dddZwLngtbpjF4/TIY8W8ckIghaH61dE0hnt9FjM8NgB22nM95t9ZqZ3+Jcg/VnUKSiz7PURX+/9nvG4vTRah0TVBjUjBmW1nUxL6YE/J5/mVGe3J9VJplF0Pa6v44dO9o2TCBj0DpnxnnudvjhhzuLYv7Unz163L179455m6KuuCNjT2D2vG1R/2gdp8RS36kbj89Y9sfxxUOaNkqawCffrg1cdMNU+2fpioyop/fmhyvdurPmbguqO+HTVXZdj/7TAmYY16B1sczovp3jmDxlo+8mI59daOvcNvJvE+vkv48B9822dUaNWRTWxo3DZtl1j7+4OF/rwip7Fpigu0DvW2fadq+5/a+ACcOieAQ0Bk1j0fT3DY1N0xgRjVUrboVAu+L2jXG8CORDwPuL/fDhwwPmDRr7i7h2eOVVnF/4QwPttKNIf5nXP+bNnIjNmDdzArqtGQY1qI5zIxMaaDd37ly33dDOfqcBvTlz9l0UgXZmGAa3fQ3q8yvmrSO3TqRAOw0YjPQDQdt1Og01MM9bTAp027YZVsO7OGjaZBq0dQi0C2JhBoF9IlCYa2qkax/X1OJ5TSXQbp/8l2MnCCCAAAIIlBqBeAXa6T263jNHe7nO+2DVDO0VZFzY7YMaYwYBBIqVgD7cOPbYY+01RF8Ezat474m0T89bNLhAr0Xaz2WG7fOucqf1gYrJoGT7Dk22Jne5yXxktw19OdWtYCZ0f9rnqH/M6B3uKg0y1v2ec8457rJYJ2IJtFMjp79UgxBDS16Bdt4ADpMRKXTzqPN6nnpt1/MbNmxYxLoE2kWkYQUCxUpAny2YLGr2/7zJfBZ27CbLnF2n1wQz7HbYel3gDWoLDbTT66duq7+DRnqO4WxvMtMFtm3bGzjhLNftQ9vVl1G/+OKLwI8//uh7TPozwUm2cPPNN/vWibYwlkA7DUbWY4gUNO196Vl/L/YW73V61KhR3lVB02bUE+unAYVeG5Ppzu5b968vt/gVk5XP/e6WL1/uVyXisgMx0C7iwbICAQSKtUCsgXYbN+0M9Bw43QaU9R82Oyyg7Jepm+w6DZabNmtLvk1iCbS76rbcgLbRry+L2L4ZAtYeR7wC7RYt3REY9266/WOGjPXd7zuf5AYZ6rkvXu5/T+S7YSlYSKBdKfiSOUUESoKAGYrA/uJu0lMH9KZIb4BM2vE8T83pONKbrtBihumz7ZhhGHw7zHbu3Om+8WTSXwdtHinYZOnSpe4Nhl8QmXbA6Zs6evz6xwzbF9RuLDN5ZbTTt8Oc9v0C+TTQz3HReqEPJZyMdrpuxIgRvoeky519TJ06NaiO06GprmoYWpyHHrp9pKx8odswjwAC8RUo6DU10rVPj45rau51vThdU70PlchoF9//Y7SGAAIIIIBAaRSIV6CdvtjVsmVLe8/5yCOPhFHqg9TzzjvPrvfLQlXY7cN2yAIEECg2AhqY4PRXRXoB1nsy69atc7Mphfb96T2SExQ2ZswY72butL6gq/vTl1HNUH3u8ljutZxAi9BgN++2EyZMcNv0TmiQh74UrP2Q3uINtIuUEc85Zj1u3VdoGT9+vGu4YMGC0NV23rn/10xJixaFZ9TQSnpsGkynARve0q9fP9u+Bqn4vSCsL/J16dLFPYasrCzv5kwjgEAxE9Df5fR6o8Fces31lnPPPdeu0+DkSCVaQJwZStVuH+l6p21u3bo18M0339g/3mCyaO1GOhbv8sKM2ONc/6NltPPuy29ar5/Oz7vQZ0DeQDu/67zTnhky1m1DM9zlp0QbMSmvdgi0y0uI9QggEC+BWALtNGubkw3u4hunBv5esD1s95mZOYG+Q/+yQW5m+NbAzl3+Wcs0CO+Dr8IT4KxcneUG6n354/qw9nWB0/61d8zyzZo38YvVbhuPvBD++7dzDvnJaLd+Y7bb5teT/Y/rV0+Q4fL0TN9jL60LCbQrrd88541AMRPwZorTGwjtjAntqPE7JSegzC/QTjuCnNTkOgyqt2NINe1llgAAQABJREFUg9GcgDitExo4ES3Y5JhjjrE3KLrd888/H9A3evQmTt8Auuyyy9ybFz0PfUMzvyWvQDvtBHOCETt16mQDErds2WLTnOvbTc5NoHMj9ssvvwQdgjfQTuvokBvOW13aaahvQTnbXnrppUHb6oy+yeusHzx4cECH+9UAQ33LSofTddbpp2YnpCCAwL4XKOg1Ndq1j2tqbqBdcbqmeh/g6FDjixcvjvontEP0vvvus9fxn376ad//I2aPCCCAAAIIIHDACeQn0C6v3yMGDBhg7x01yGXcuHHuS1w6LIfzO6neU0Z6Aa+w2x9wuBwQAgjEJOBkN9J+w0hZ6EIb0sx3ej3Rl3u1/8pbdDg9Xad9fHr/5AxjqgG/77//vpvRqG/fvt7N7DXLGc1BM+JNmjTJDiWklfS4nOFttW3N6OQtmoXeGepQ96svrGZm5j7U0hdadQhAzXan255yyilBQwp6A+10vWYc0oALLdquHnOrVq3c8/Uz+u677+x63V4z1uk5axY8b1mxYkWgTZs2bjtffvmlexzaB6rBG0cddZRdHzoShvZHOAGMGlCnmQD12PQc9d5SAw91384fAu288kwjUPwEtK/J+f/svd6lp6e714Knn3464olFCojT5xROu2+88UbE7SOtiNSut75m4XzqqafsMx3NNtq+ffuABhjrH+c65pdswduG33R+Au0WLlxon6nocxR91qXXXucYnPMvaKCdBpQ7beizK7+iw//279/f/tzRBAv6M0T374x2pNuHjpjk1453GYF2Xg2mEUCgKAW8gXZTZm4OrFqbZf/MmW9+X520LvDsq0sDOhysZmvTILuPv1kb8XC8AWc6vKt3KFrNiKfbOm1pBjxvyd65xw1oG/7kgsC27bvtanNL4ZYnX17i1nl+/LLAQpNtbrcZplYD/15+e4W7To912BPBQ6lrIwUJtNPtbn9orm378kHTrYkG32nJzt4TmDFnq9suQ8dalqC/SkqgXRk9KzFFP/SPudm1f8zNsZhOOKldu7aupiCAQDEWOPPMM8X88m/PoHv37mI6pfI8G9OpJeYNSjGdNPLkk0+G1Ted8mI6fMR02th1NWvWlJSUFDHBcWI6kaRSpUpibqbE3MQEbWsCyOStt96SGjVqiOkQClpnOoWkZ8+e9hrkrChbtqxtT+c7duxot9Hr1AUXXCAmO5xTLabPE088UUwwnZiHGPLcc8/5bmPe4hLTmeau8+5fF5qbIvn555/teq3brVs3t+7QoUPFPMiQunXr2j8mbbtdl5qaKiZgz63XsGFDMTdxYoL63GU6Yd48ldNOO03Wr1/vLvfuX7crU6aMLFu2TBo3biymA8+txwQCCOw7gYJcU6Nd+/TIuaaKFKdrqsmqKiZrQ8z/6Lw/e00nmpiHOnZbk8FUTDbVmNuhIgIIIIAAAgiUTIGTTz5ZTACF6H24GXow4knG8nuE6bAUkzFJzHBZtp3y5ctL/fr1ZcmSJe69tsmCIg888ICUK1cubF+F3T6sQRYggMABL7B582bb52aC0cR775LXgZsMb2JeGrXVtJ9N+9ucYoLUxGRgk19//dUu0uuNCa6wfV9OH5nW1/vAChUqOJvZz+nTp9ttTTCJna9YsaK9jml/mAles31jJpDP1gna0MyYF17tcv3Uov1q2odmhvBz+zBNkIOYoBXbd2crmb8++eQTtz2tr32i2gen0yb7kZhgNltVj1X7O83LuM6m7qcJvhOTJUr03LXocWv/qGPgVDTBdKJ9BI5DcnKy1KtXL+g6rT8XHn/8cUlKSnI2s596Lzp8+HD3eq7baj+pfnd6rocddpiYgEJbV39m6M8ACgIIFF8B/Z1N/0936NBBTCIAeyIvvPCC/T0uISFBzBCtQdcy75m+9957Yl6gsItMUK/otU+LPrPQa70WEwjtez2zKyP8Faldp7r2c5nMoe51U69T+ixIr4daTACc6PNnvc6ZgGhns5g+9XnUq6++Kvq8Zdq0ab7b6HNuM4S5mCBC+8xbK1WuXFmqV68ueiwmQNk+I9Lld911l/Tq1UsnbTFBiGKCx+207uuKK674Z03wh/5M6dy5s12o/YNmeF+3gl7bTSC6mNGM7DL9ntLS0qRatWr2d2+TKdD+TNKVn376qbRu3drdNq+JQw45RExQtpiEEjJ69Oi8qrMeAQQQKLDAp9+tk3Hv5f4uHq2RKpUTpW+PxnJIm9xrfKS6b360SkzGOnNdzq1RKaWcVEhOkHUbdrqbXHRmPTnjv7XceWdi5LOLZPrfW+1s2bJlzO+8ZeTemw6ShvWS7bLNW3bJrQ/NEzOEq7OJJCSUMb8j5+6sZvXc36d1X7VrlJdH72zj1tMJM6ysrF2/U445LE1uuLyJLnJLtHUbNu2Uh0YvlmXpufcJulGtGkmyYdMuE9eQu2891jv6tZBWzVPcNpkQe3+lvxckJiaa7yrB/tF7L/1TnAqBdsXp2+JYESiggHbUmyEH7NZmGAMx2drybEk7+KMF2mkD2mmlwWV6U+ME3OlNg974DRo0SMwbOmH7ySvYxGRvs8dqUm672+pNkMmSJ1dffbUN/JszZ06BAs1iCbTTGzG9adVgRJOByD0G7QzUc9UOK/NGrb1JO//888W8oerWcQLt9Gbs9ddft0EY2umoHZZatHNL7R966CF7Y+du6JnQQEUzNKWYDEnuUu2YM2/k2hs/kxXPffBi3oqKeCPtbswEAgjEXaAg19S8rn16kFxTi881tTCBdvpgSAPt9CGRPhzq06dP3P+N0iACxUVg+449YoYMkGppicXlkDlOBBBAoEgEYg20i/X3CA0I0QecX331lRvwoR2WjRo1sg8C9f46Wins9tHaZh0CCBx4Aq+88oqYkRTsgekLpMcdd1xMB6l9gSb7mn1Z3wxfKGaY2KDtNADsmWeesX1kGpSgRR+kmKw+tp/LZLOz80Eb/TOjgQral/ntt9+KyYxkl2q/mvbLaVCEXjcjFb1WmiEXxQzPZx/iaD29BuoLr9pnd+utt0rVqlWDNvcG2ul2P/zwgz0fZ9963CYbkn3p12RmCtrWO6PbmQxGosEaWnQ/zou43noa1KzXaQ2S0WQHWjQYsV27dnL88ceLyTBoA+e82zjTGjCjwdIm25Vd5JybBntoH6S6aiHQzjLwFwLFWuC1116zQWP6/1yTFOgL/maEIftChQZ6adBZpBIpIE77o5zkCGbUIDnrrLMiNeG7PFK7WtlkIbXBaZqIQYPBNOBar9veoj8vzOgeRRZop9d/DYjWYrLmycUXXyyawMApmuxAEzpo0Z99ZiQlZ5W9dscSaKcvtOj3oEWTNjjTet4adGdG7bBJKTTgTxMrVKlSxd2HN0hdnwHpz8RYC4F2sUpRDwEECisQKdAu2QTH1aiWJHWql5fOHarKkQenSjkTTBZLmbdoh7w6MV0Wr8h0A9G0veaNUuT4Y6pJpyODfz932tQguEdfXCxLPQFtIwe3dgPttJ4G0Wlg4B8z9ya9SUpKkI6Hpkmvc+vL2x+vls8m5T7zf/LudlK96t6+6GjBdNHW6X6zd+bIaxNXysx522TN+mw3kFDjxToYm+4n15FG9YNfKtLtSnvRF5kItCvt/wo4fwQQsAJ6A6GdO9qB1rJly7hEHGtHlrZZp04d+1bnvqbWgDszDK5ox5d2xGkAYUGL3rzqm0r6dpJfxgC/dvUtWL3h1E5E3b++lUpBAIHSIcA1Nfr3XFKuqfoGqr5RS0HgQBYY9sQCWbk2W1o2rigDr2oa9VAzs/bITff9beto58gFp9f1rT973nZ57/PVsth0jmRk7rF1UqskSYtGFaRFk4ryv641Jbl8gu+2A4fPkR2ZOUHr9A3F1EplpXpaeTmoWUX5V8dqklq5XFCdWGZWrMqW+55eYKt2P7m2nHhcjVg2ow4CCCCwXwTy83uE3tPqva1mMSnI7x6F3X6/ALFTBBA44AQ0AEz7+cyQrkEBB7EcqF7DNDBCA91CM7zltb0GvC0xGT11v5oBKVLxBtp99NFHNuBN6zrXQH2ZWEfyiKVodjkdUUP7STUjXl7XXjOcrA2K1n7D/GSg075TPTfti3UyRcVyfNRBAIHiI6DPFDSgWa8rQ4YMEQ1S0z9a9IX8s88+O+LJRAqI035Hvd5oZrdbbrkl3y+ARmpXD0QzwGmAtAYkT5w40feZRlEG2ul11wyvKvpsRYOyNWNdaIlHoN0333wjV155pW1aPZxgwhkzZriBi6GZXp3jINDOkeATAQRKq8CeHPP8fXW2Pf36dZNNTEHeEpoJTwPZtm7bbbPGpVXZGyjn3TorO0dWm77scuUSpF7tJPNSTwyNexsoxLT2ja9YlSUpFctKTROMmJjo379diF2UmE0JtCsxXyUnggACCCCAAAIIIIAAAgggECow6IG/JX11lrRqliJ33dgydHXQfIYJgOt96wy77H9daspl5m1Bb9FOlCdeWiK/z9j7ZqF3vTPdxLzld8s15iWH1PAOk963znSD85z6oZ+akv/EzjWkR7d6diiB0PWR5l99b6V88t1au1rfNBxxS+xvlUdqk+UIIIAAAggggAACxUMgUqBd8Th6jhIBBEqygGa4/Pjjj20AmQapaRY6HQHn999/t5+Rzj1aQJxmm9MhXHVUIx25w6/MmzdPnnzySbtKM2Y6iQiitavZ4DTAWbPI6TDXfkWzdmqQcFEMHavH7Axj7s005z0ODaA+9thj7aJoGe1uu+02O8KSd1tnWgP4dAhyLTq0rw4Lq0WXOcF9Omx4rVrhQyC+//77NvOp1iejnSpQEEAAAQRKmwCBdqXtG+d8EUAAAQQQQAABBBBAAIFSJBDPQLtX3kmXz3/ITdF/eNtUOeO/NaVBvYpSPqmMrDfp/X83qf3f/3KN6Nt/OgTBbX2aS91a5YO0nUA7Dfw7/9TcjHkmfk90CIGl6Rkyfa5J078u943Ig5qmmIC95lKxQt5vD+7ZE5C+Q2fLtu273P3dN/AgadaoojvPBAIIIIAAAggggEDJFSDQruR+t5wZAsVdQDPEaaY4LTVr1pR169bJeeedJw8++GDUU4sWEPfiiy+KBs9p0QxrfkNi33nnnXZoWl2ndZwSrd1OnTrZTMoaYKZDYycmBr9Ap1neRo4caZvSgDidz09xjkkzlE6bNi1sU++wuH6BfJrFr0+fPvLVV1/ZbYcOHSqXX365244GCTpDx9aoUUP0XBs0aOCu14kNGzZI165dbda80EDFt956SwYPHmzrhwbx6UIN8rvwwgtl6dKlto7+7NFsrbEWho6NVYp6CCCAAAIHsgCBdgfyt8OxIYAAAggggAACCCCAAAIIFEogXoF2Gvx2031z7LF0ODhVbrqyqe+wAEuWZ8qdj84TDXzTYLxB1zQNOn4n0K5D+1QZ4DOU7c5dOfLqu+ny1eQNdrtOR1SV6y5rHNSG38wfJsveqP9bbIcTqFU9SVab4z3JDB3b67zgDnW/bVmGAAIIIIAAAgggUPwFCLQr/t8hZ4BASRXQoV41A5sG2Dnl9ddfl2OOOcaZ9f2MFhC3a9cuOemkk2xmOc3GplnyOnfubO6JEyQzM1OeeeYZeeqpp2y7w4YNk0svvdTdR7R2b7zxRvnggw9s3QsuuEB69OhhA8mmTp0qep19+eWX3Xb0nF577TV3PpaJvALttA1tVwPaypYta4fGPfXUU202vp9//lnGjx8v33//vbur/v37ix6zU7yBdrpMhw3XwDm11qG9Z86cKTfddJN10/UTJkyQI444Qidt0SyB6qpD2NarV08GDBggJ554og3K08DDZ599VhYtWuRUlzfeeEM6duzozuc14QTaaUBjpIyB3jYaNmzoDt/7zjvviAYCnn766dKzZ09vNaYRQAABBBDYpwIE2u1TbnaGAAIIIIAAAggggAACCCCwLwXiFWj34+8b5ZlXl9lDH9K3ubRvVTniaTxr6v1g6pcpI/L88IOlUkpZt25egXZOxbET0uWzSbkPIQb2bipHmuC+aOXhFxbJn7O2ymFtqthje3ViusmEV1aevbedeQM/74x40dpmHQIIIIAAAggggMCBL0Cg3YH/HXGECJRmAQ2qGjNmjCXQDGuTJk0y98zmpjlKiRYQp5tNnz5d+vXrJ+np6bYVHY62fv36olnhsrOzbfsDBw60dby7idbu2rVr5bTTTpP169e7m2jAmwYLatHALz1u3Ufjxo3lu+++s8tj/SuWQLuffvrJBpJpsJtTvMeggW067K6u12DAESNGONXssLdORjsNkNPj06DEcuXKSVJSkg2Ycyr37dtXBg0a5My6n48++qjosLVO8e5bl2kgoAb9adG63bp1s9Ox/OUE2sVSV+vovxM116IBgZs2bbJZBjVgUAMHKQgggAACCOwPAQLt9oc6+0QAAQQQQAABBBBAAAEEENgnAvEKtPvw67Xy+gcr7TEPN0OyNo0yJOt3v26UD79aY+v2v7ypNKyX7J5rrIF227bvlhvvnS1ZWTlyaOsqMrhPM7eN0InNW3fJdXfNNp3sAbneZL9r27Ky9Bs6y85f17OxdDqyaugmzCOAAAIIIIAAAgiUMIEpU6bI6NGj7VkNGTJEGjVqVMLOkNNBAIHiLDBnzhzRzGxarr/+epspLa/ziRYQ52y7ZcsW0Yx1OjytBmFp0QCsww47THr16iU6/Gpoyavd5cuXy/333y+fffaZu6kG8enx33XXXTJq1Ch56aWX7LrJkydL3bp13Xp5TcQSaKdt/Pbbb/a8Zs2a5TZZvXp16d27t1x99dU2q5uahgb7eTPajR07VlJSUuT222+XefPm2cA8bUyDETUT3rnnnuu27Z0IBALy9ttvy8MPPxyUhbBp06aiQ9WqrQa9ab3zzz/fHUrX20ak6cIE2ml2Pf3ujj/+eNGhgykIIIAAAgjsLwEC7faXPPtFAAEEEEAAAQQQQAABBBAocoF4BdrNnLNdHnhugT3eU/9dSy45u16Bjj3WQDtt3Mlql5BQRp4xmemqVCrnu08nCDA5OUGeu6+9JJkMdiOfXSTT/94q7U3Q3ZDrmvtux0IEEEAAAQQQQAABBBBAAAEESorAqlWrRDPStWnTxmZvK+x5ZWRk2GFSNXCvWbNm7hCmhW03P9tr8ODixYulTp06dijX/GzrravnosF2OhxsrVq1vKsiTmsgnZrqMLZ6/mlpaRHr7qsVW7dulSpVquyr3bEfBBBAAAEEfAUItPNlYSECCCCAAAIIIIAAAggggEBJEIhXoN3OnTly20NzZdXabMty2vG1pfvJdSQ5OfpQN6GG+Qm0+3byRhn9Zu5wtXde10LatKwU2pydv/n+v2XlmizpenQ1ubZHbuaSyVM2yVNjl9rhax8f2lZqVEvy3ZaFCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggEJsAgXaxOVELAQQQQAABBBBAAAEEEECgGArEK9BOT33JikwZ9uR8O5yrzqdULCdHH5oqnY+oKq1bpIhmnsur5CfQbta8bTL86YW2yT6XNpYuHcKHgJ2/eIfc9dh8W+f2fi2k3UG5wXgaGHjtnX/ZY9WAwO6n1Mnr0FiPAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACUQQItIuCwyoEEEAAAQQQQAABBBBAAIHiLRDPQDuV2LBpl4x5Y7kdltUrU6Vyohx9cKqc1KWGNKiX7F0VNJ2fQLtVa7Jl4P1z7PY9utWX046vGdSWzox5fbl888sGqZqWKE/d3c5msHMqPTd+mUz6baPUrJ4kj93ZNmidU4dPBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQiE2AQLvYnKiFAAIIIIAAAggggAACCCBQDAXiHWjnEMxbtMMGsf0ybbNkZO5xFttgNs1wd9XFjSSxXHiGu3wF2plhagcO/yfQ7qx6ctp/arn70Qlv1roz/ltLLjqzXtD6WfO2m4x4C+yy2/s1N9nuKgetZwYBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQRiFyDQLnYraiKAAAIIIIAAAggggAACCBQzgaIKtHMYdu3Kkamzt8rkKZvtp85r0aC2m69qKuWTEpyq9jM/gXZBQ8f2aCRdjq4W1NYPJlvdsyZrnZYHb20jDeqWD1ofCIjccM8sm4Wv85FVpV/PxkHrmUEAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIHYBQi0i92KmggggAACCCCAAAIIIIAAAsVMoKgD7bwcGzfvklffSxfNcqelk8lsd91lwcFt+Qm0+3ryRvm/N3MD6Yb0bS7tWwVnpLv3yQUyZ8F2qVwpUXqeHZzNzjmu737eILNMncTEBHn23vZSsUJw4J9Tj08EEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBCILkCgXXQf1iKAAAIIIIAAAggggAACCBRjgVtG/i0rVmZJyyYpcs9NLaOeyfYde+TqITNtnVP+VVMuPad+1Pp+KzWL3H1P5QbApVQsJy/c394OJ+vUzU+g3bh30+XT79fZ7Z+6u51UTUt0mpE167Plpntzh5V1F+YxccX5DeWEztXzqMVqBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQ8BMg0M5PhWUIIIAAAggggAACCCCAAAIlQmDUmMXyx8wtklolyWR0axv1nBYty5A7Hpln6/Q6t4Gc1KWGndYAvIdHL7LTxxyeJiebILxo5fNJ6+WVCStslfsHtZImDSq41WMNtNN99r93tmRk7pHWzSvJ0BtauG3oxFsfrZKJX66RhIQy0qhuctC60Jm1G3fadpo1qij3DTwodDXzCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggEIMAgXYxIFEFAQQQQAABBBBAAAEEEECgeApM+HS1TPhstT34J+9uK9WrJkU8kS9+WC8vv5MbIDf0+hbSukUlW1ez1PUaNEN27cqRNmbZnWZdtPLJt+vk1YnptsoDJtCucQEC7V55J10+/2GdbaNPj0bS5ehq7i71eK67e5ZsMkPVHtq6igzu08xd5zfhPZ4HB7eWBvWiB+b5tcEyBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQRKuwCBdqX9XwDnjwACCCCAAAIIIIAAAgiUYIF5i3bIPU/MFw1O69A+VQZc1dT3bHdk5MjA++fI1m27pEa1JHl4SGtJSkxw6455fbl888sGO3/9ZY3l2COquuu8E7v3BOTux+aLZsdLSkqQF0cebLPOOXXyyminwXyvf7DKBtnpMR/SqrIJpGseNPzsjDnbZcRzC2yT1/VsLJ2O9D8WZ59btu2WfkNnSU5OQE79dy255Ox6zio+EUAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAIEYBAu1ihKIaAggggAACCCCAAAIIIIBA8RTwZoc7+KDKctFZ9aShGW61bNkykpWdI7PmbZOx76XLug077Qneem0LOaRNbjY754w3muxxd4yaJ5u37LLbndCphhlCtobUqlHeBsHtMUFsC5dkyNsmg562p6XbibXl/NPrOk3YTyfQrn3LynLFBQ3sst27ArJybZYsW5klv07fLOmrs+zy+nWS5fa+zSUtNTGojSdeWiK/TNssyeUT5Ln72tuAvqAKPjMjn10k0//eKpUrJcozw9rac/CpxiIEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBCIIECgXQQYFiOAAAIIIIAAAggggAACCJQMgZ0mS9yjY5bYQDPnjBISykhKxXKybfsuZ5Ekmgx2F51ZV07uWtNd5p1IX50to15cJKvWZLuLNVivUkqibUczxjnlmMPS5PpeTYIy0ek6J9DOqef3WaaMSCeTMe/KCxraYDpvne0m817fO2fK7t0B6XJUNelzSSPv6ojTP/+5SZ58Zaldf9MVTeWoQ1Mj1mUFAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIhAsQaBduwhIEEEAAAQQQQAABBBBAAIESKPDnX1vk7U9WywqTMW6PGeLVKVUqJ0rrZilywWl1pW7t8s5i30/d7uvJG+Svudtk4fIM2WQy3TlFg/daNqko55xUVw4OyYjn1PELtNPAOs1aV7NqkrQyx/GfY6tL7Zr+x/HZpHUydkK6be42M6Tswa0rO01H/dRgwz53zJLMrD1yeNtUGXRN06j1WYkAAggggAACCCCAAAIIIIAAAggggAACCCCAAALBAgTaBXswhwACCCCAAAIIIIAAAgggUMIFdJhXHSZ246ZdUr1qYsSgtlgYtmzbLWvWZUtVEyhXzbRV1gTbURBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQKDkCRBoV/K+U84IAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAgjgIE2sURk6YQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQRKngCBdiXvO+WMEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEE4ihAoF0cMWkKAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEECg5AkQaFfyvlPOCAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAII4CBNrFEZOmEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEESp4AgXYl7zvljBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBOI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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(filename='/Users/sharifislam/tnrs-results.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54cab3cd",
   "metadata": {},
   "source": [
    "#### EU-NOMEN \n",
    "\n",
    "EU-NOMEN/PESI project \n",
    "http://www.eu-nomen.eu/portal/index.php\n",
    "\n",
    "EU-nomen enables the correct use of species names and their classification, to more accurately manage information on animals and plants. This is the first all-taxa inventory for European species.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "00b83cca",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "200\n"
     ]
    }
   ],
   "source": [
    "import requests\n",
    "from requests.structures import CaseInsensitiveDict\n",
    "url = \"http://www.eu-nomen.eu/portal/rest/PESIRecordsByName/Vicia%20Faba?like=true&offset=1\"\n",
    "headers = CaseInsensitiveDict()\n",
    "headers[\"Accept\"] = \"application/json\"\n",
    "\n",
    "\n",
    "resp = requests.get(url, headers=headers)\n",
    "print(resp.status_code)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "e935a1ca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'GUID': '862AC002-BF8C-4E63-B349-4DD2056B611B',\n",
       "  'url': 'http://www.eu-nomen.eu/portal/taxon.php?GUID=862AC002-BF8C-4E63-B349-4DD2056B611B',\n",
       "  'scientificname': 'Vicia faba',\n",
       "  'authority': 'L.',\n",
       "  'status': 'accepted',\n",
       "  'rank': 'Species',\n",
       "  'valid_guid': '862AC002-BF8C-4E63-B349-4DD2056B611B',\n",
       "  'valid_name': 'Vicia faba',\n",
       "  'valid_authority': 'L.',\n",
       "  'kingdom': 'Plantae',\n",
       "  'phylum': 'Tracheophyta',\n",
       "  'class': 'Magnoliopsida',\n",
       "  'order': 'Fabales',\n",
       "  'family': 'Fabaceae',\n",
       "  'genus': 'Vicia',\n",
       "  'citation': 'ILDIS World Database of Legumes  2010. (copyright © ILDIS). Vicia faba L.. Accessed through: Euro+Med PlantBase at http://ww2.bgbm.org/euroPlusMed/PTaxonDetail.asp?UUID=862AC002-BF8C-4E63-B349-4DD2056B611B',\n",
       "  'match_type': 'like'},\n",
       " {'GUID': 'FA67D28A-BE85-46DE-BB21-54C5346EA1EE',\n",
       "  'url': 'http://www.eu-nomen.eu/portal/taxon.php?GUID=FA67D28A-BE85-46DE-BB21-54C5346EA1EE',\n",
       "  'scientificname': 'Vicia faba subsp. faba',\n",
       "  'authority': 'L.',\n",
       "  'status': 'accepted',\n",
       "  'rank': 'Subspecies',\n",
       "  'valid_guid': 'FA67D28A-BE85-46DE-BB21-54C5346EA1EE',\n",
       "  'valid_name': 'Vicia faba subsp. faba',\n",
       "  'valid_authority': 'L.',\n",
       "  'kingdom': 'Plantae',\n",
       "  'phylum': 'Tracheophyta',\n",
       "  'class': 'Magnoliopsida',\n",
       "  'order': 'Fabales',\n",
       "  'family': 'Fabaceae',\n",
       "  'genus': 'Vicia',\n",
       "  'citation': 'ILDIS World Database of Legumes  2010. (copyright © ILDIS). Vicia faba L. subsp. faba. Accessed through: Euro+Med PlantBase at http://ww2.bgbm.org/euroPlusMed/PTaxonDetail.asp?UUID=FA67D28A-BE85-46DE-BB21-54C5346EA1EE',\n",
       "  'match_type': 'like'},\n",
       " {'GUID': 'AB4C5348-8C21-4528-B28C-C54BF73133B8',\n",
       "  'url': 'http://www.eu-nomen.eu/portal/taxon.php?GUID=AB4C5348-8C21-4528-B28C-C54BF73133B8',\n",
       "  'scientificname': 'Vicia faba var. minor',\n",
       "  'authority': 'Beck',\n",
       "  'status': 'accepted',\n",
       "  'rank': 'Variety',\n",
       "  'valid_guid': 'AB4C5348-8C21-4528-B28C-C54BF73133B8',\n",
       "  'valid_name': 'Vicia faba var. minor',\n",
       "  'valid_authority': 'Beck',\n",
       "  'kingdom': 'Plantae',\n",
       "  'phylum': 'Tracheophyta',\n",
       "  'class': 'Magnoliopsida',\n",
       "  'order': 'Fabales',\n",
       "  'family': 'Fabaceae',\n",
       "  'genus': 'Vicia',\n",
       "  'citation': 'ILDIS World Database of Legumes  2010. (copyright © ILDIS). Vicia faba var. minor Beck. Accessed through: Euro+Med PlantBase at http://ww2.bgbm.org/euroPlusMed/PTaxonDetail.asp?UUID=AB4C5348-8C21-4528-B28C-C54BF73133B8',\n",
       "  'match_type': 'like'}]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "json.loads(resp.text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "dca1b186",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
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     "text": [
      "Vicia faba Vicia faba L.\n",
      "Vicia faba subsp. faba Vicia faba subsp. faba L.\n",
      "Vicia faba var. minor Vicia faba var. minor Beck\n"
     ]
    }
   ],
   "source": [
    "for i in json.loads(resp.text):\n",
    "    print(i['scientificname']+\" \"+i['valid_name']+\" \"+i['valid_authority'] )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1ce5a174",
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   "source": [
    "### Comparison Table\n",
    "\n",
    "Comparison of some of the tools mentioned above. \n",
    "\n",
    "| scientificName                         | Global Names Resolver                                                       | CoL       | GBIF                             | LifeWatch      |\n",
    "|----------------------------------------|-----------------------------------------------------------------------------|-----------|----------------------------------|----------------|\n",
    "| Pinus mugo Turra                       | Exact match, Score: 0.988 Provides several matches from different databases | exact     | Exact match. returns one results | Exact match    |\n",
    "| Pinus mugo Smith (incorrect authority) | Disregards the authority string and matches against \"Pinus mugo\"            | canonical | No result.                       | No match found |\n",
    "| Vicia faba L.                          | Exact match. Provides several matches from different databases              | variant   | Exact match. returns one results | No match found |\n",
    "| Vicia faba S. (incorrect authority)    | Disregards the authority string                                             | canonical | No result                        | No match found |\n",
    "| Vicia faba                             | Exact match, Score: 0.988. Also finds Vicia faba L.                         | exact     | Returns several results          | Exact match    |\n",
    "| Vicia fava (spelling mistake)          | Fuzzy canonical match,                                                      | none      | No result                        | No match found |"
   ]
  },
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