test.ipynb

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    "# %cd ~/src/Sunrise-Demo/\n",
    "from __future__ import annotations\n",
    "try:\n",
    "    from mediocreatbest import auto, run\n",
    "except ImportError:\n",
    "    %pip install --quiet --upgrade pip\n",
    "    %pip install --upgrade --force-reinstall \\\n",
    "        mediocreatbest@git+https://gist.github.com/player1537/3457b026ed6ef6696d758517f55a58df.git\n",
    "from mediocreatbest import auto, run\n"
   ]
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     "parameters"
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   "source": [
    "# SPECIES = \"0000172\"\n",
    "SPECIES = \"0029846\"\n",
    "DO_SAVE = True\n",
    "TERRAIN_QUALITY = (\n",
    "    0\n",
    "    # 1\n",
    "    # 2\n",
    ")\n",
    "VIDEO_QUALITY = (\n",
    "#     0\n",
    "#     1\n",
    "    2\n",
    ")\n",
    "\n",
    "Z = 13\n",
    "TixelZ = 21\n",
    "\n",
    "SHOULD_SAVE = True\n",
    "\n",
    "# RLO=3300096\n",
    "# RHI=3310591\n",
    "# CLO=2236928\n",
    "# CHI=2259455\n",
    "\n",
    "# RLO=824832\n",
    "# RHI=827647\n",
    "RLO=823296\n",
    "RHI=829438\n",
    "# CLO=559104\n",
    "CLO=558080\n",
    "# CHI=564479\n",
    "CHI=566270\n"
   ]
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   "source": [
    "# Parameters\n",
    "SPECIES = \"0031497\"\n"
   ]
  },
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   "source": [
    "## Setup"
   ]
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    "%%scope\n",
    "def string_function(arr):\n",
    "    name = arr.__class__.__name__\n",
    "    if arr.size < 1024:\n",
    "        values = auto.numpy.array_repr(auto.numpy.ravel(arr))\n",
    "    else:\n",
    "        values = '...'\n",
    "        \n",
    "    shape = auto.numpy.shape(arr)\n",
    "    dtype = arr.dtype\n",
    "    return f'{name}({values}, {shape=!r}, {dtype=!r})'\n",
    "auto.numpy.set_string_function(string_function, repr=False)\n",
    "auto.numpy.set_string_function(string_function, repr=True)\n",
    "\n",
    "auto.numpy.set_printoptions(\n",
    "    threshold=4,\n",
    "    edgeitems=0,\n",
    ")"
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   },
   "source": [
    "### Typing"
   ]
  },
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   "source": [
    "Degree = auto.typing.NewType('Degree', float)\n",
    "Radian = auto.typing.NewType('Radian', float)\n",
    "Meter = auto.typing.NewType('Meter', float)\n",
    "Kilometer = auto.typing.NewType('Kilometer', float)"
   ]
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   },
   "source": [
    "### Location (lat, lng, alt) to spatial (x, y, z)"
   ]
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    "def convert_location_to_spatial(\n",
    "    *,\n",
    "    lat: Degree,\n",
    "    lng: Degree,\n",
    "    alt: Meter,\n",
    "    math=auto.math,\n",
    ") -> Tuple[Meter, Meter, Meter]:\n",
    "    # Thanks https://gis.stackexchange.com/a/4148\n",
    "    \n",
    "    #> Note that \"Lat/Lon/Alt\" is just another name for spherical coordinates, and \n",
    "    #> phi/theta/rho are just another name for latitude, longitude, and altitude.\n",
    "    #> :) (A minor difference: altitude is usually measured from the surface of the \n",
    "    #> sphere; rho is measured from the center -- to convert, just add/subtract the \n",
    "    #> radius of the sphere.)\n",
    "    phi: Radian = math.radians(lat)\n",
    "    theta: Radian = math.radians(lng)\n",
    "    \n",
    "    # Thanks https://en.wikipedia.org/wiki/Earth_radius\n",
    "    #> A globally-average value is usually considered to be 6,371 kilometres (3,959 mi)\n",
    "    rho: Meter = 6_371_000 + alt\n",
    "    \n",
    "    #> x = math.cos(phi) * math.cos(theta) * rho\n",
    "    x: Meter = math.cos(phi) * math.cos(theta) * rho\n",
    "    \n",
    "    #> y = math.cos(phi) * math.sin(theta) * rho\n",
    "    y: Meter = math.cos(phi) * math.sin(theta) * rho\n",
    "\n",
    "    #> z = math.sin(phi) * rho # z is 'up'\n",
    "    z: Meter = math.sin(phi) * rho\n",
    "    \n",
    "    #> (Note there's some slightly arbitrary choices here in what each axis means...\n",
    "    #> you might want 'y' to point at the north pole instead of 'z', for example.)\n",
    "    \n",
    "    # I do :)\n",
    "    y, z = z, y\n",
    "    \n",
    "    return x, y, z"
   ]
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   },
   "source": [
    "### Tile (zoom, x, y) to location (lat, lng)"
   ]
  },
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   "source": [
    "@auto.mediocreatbest.doctest\n",
    "def convert_tile_coordinates_to_latlng(\n",
    "    *,\n",
    "    z: int,\n",
    "    x: int,\n",
    "    y: int,\n",
    "    math=auto.numpy,\n",
    "    return_google_maps_url: bool=False,\n",
    ") -> Tuple[Degree, Degree]:\n",
    "    # r\"\"\"\n",
    "\n",
    "    # >>> convert_tile_coordinates_to_latlng(z=15, x=8739, y=12925, return_google_maps_url=True)\n",
    "    # 'https://www.google.com/maps/@35.48751102385376,-83.990478515625,15.79z?entry=ttu'\n",
    "\n",
    "    # \"\"\"\n",
    "    \n",
    "    # Thanks https://gis.stackexchange.com/a/133535\n",
    "    \n",
    "    #> n = 2 ^ zoom\n",
    "    n = 2 ** z\n",
    "    \n",
    "    #> lon_deg = xtile / n * 360.0 - 180.0\n",
    "    lon_deg = x / n * 360.0 - 180.0\n",
    "\n",
    "    #> lat_rad = arctan(sinh(π * (1 - 2 * ytile / n)))\n",
    "    lat_rad = math.arctan(math.sinh(math.pi * (1.0 - 2.0 * y / n)))\n",
    "    \n",
    "    #> lat_deg = lat_rad * 180.0 / π\n",
    "    lat_deg = lat_rad * 180.0 / math.pi\n",
    "    \n",
    "    if return_google_maps_url:\n",
    "        return f\"\"\"https://www.google.com/maps/@{lat_deg},{lon_deg},15.79z?entry=ttu\"\"\"\n",
    "    \n",
    "    return lat_deg, lon_deg"
   ]
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   },
   "source": [
    "### Dataclasses"
   ]
  },
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   "source": [
    "@auto.dataclasses.dataclass(eq=True, order=True, frozen=True)\n",
    "class Coord:\n",
    "    \"\"\"Tile image coordinates for mapbox/etc services\"\"\"\n",
    "    z: int\n",
    "    x: int\n",
    "    y: int\n",
    "\n",
    "    @property\n",
    "    def nw(self) -> Location:\n",
    "        \"\"\"North-West lat/lng of current tile\"\"\"\n",
    "        lat, lng = tile_coordinates_to_latlng(\n",
    "            z=self.z,\n",
    "            x=self.y,\n",
    "            y=self.x,\n",
    "            # z=self.z,\n",
    "            # x=self.x,\n",
    "            # y=self.y,\n",
    "        )\n",
    "        return Location(lat=lat, lng=lng)\n",
    "\n",
    "    @property\n",
    "    def se(self) -> Location:\n",
    "        \"\"\"South-East lat/lng of current tile\"\"\"\n",
    "        lat, lng = tile_coordinates_to_latlng(\n",
    "            z=self.z,\n",
    "            x=1+self.y,\n",
    "            y=1+self.x,\n",
    "            # z=self.z,\n",
    "            # x=1+self.x,\n",
    "            # y=1+self.y,\n",
    "        )\n",
    "        return Location(lat=lat, lng=lng)"
   ]
  },
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   "source": [
    "@auto.dataclasses.dataclass(eq=True, frozen=True)\n",
    "class Domain:\n",
    "    \"\"\"Lower (inclusive) and upper (inclusive) bounds of latitude/longitude\"\"\"\n",
    "    lo: Coord\n",
    "    hi: Coord\n",
    "        \n",
    "    @property\n",
    "    def coords(self) -> List[Coord]:\n",
    "        \"\"\"All coordinates within lower/upper bounds\"\"\"\n",
    "        coords = []\n",
    "        for z, x, y in auto.itertools.product(\n",
    "            range(self.lo.z, 1+self.hi.z),\n",
    "            range(self.lo.x, 1+self.hi.x),\n",
    "            range(self.lo.y, 1+self.hi.y),\n",
    "        ):\n",
    "            coords.append(Coord(\n",
    "                z=z,\n",
    "                x=x,\n",
    "                y=y,\n",
    "            ))\n",
    "        \n",
    "        return coords"
   ]
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    "@auto.dataclasses.dataclass(eq=True, order=True, frozen=True)\n",
    "class Location:\n",
    "    \"\"\"Geographical latitude/longitude\"\"\"\n",
    "    lat: Degree\n",
    "    lng: Degree\n",
    "    alt: Optional[Meter] = auto.dataclasses.field(default=None)"
   ]
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    "@auto.dataclasses.dataclass(eq=True, order=True, frozen=True)\n",
    "class Point:\n",
    "    x: Kilometer\n",
    "    y: Kilometer\n",
    "    z: Kilometer"
   ]
  },
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     "shell.execute_reply": "2024-07-19T15:28:40.068363Z"
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     "duration": 0.021646,
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   "source": [
    "# @dispatch\n",
    "@auto.dataclasses.dataclass(eq=True, order=True, frozen=True)\n",
    "class Tixel:\n",
    "    y: int\n",
    "    x: int\n",
    "        \n",
    "    # z: ClassVar[int] = 23\n",
    "    z: ClassVar[int] = TixelZ\n",
    "        \n",
    "    @property\n",
    "    def location(self) -> Location:\n",
    "        \"\"\"Center lat/lng of current tixel\"\"\"\n",
    "        lat, lng = tile_coordinates_to_latlng(\n",
    "            z=1+self.z,\n",
    "            x=1+self.x,\n",
    "            y=1+self.y,\n",
    "        )\n",
    "        return Location(lat=lat, lng=lng)\n",
    "\n",
    "# @Tixel.register\n",
    "# def __tixel_from_coord(coord: Coord, /, *, res: int):\n",
    "#     dz = int(auto.math.log2(Tixel.z - coord.z))\n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bcec0562",
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   },
   "source": [
    "## Observations\n",
    "\n",
    "We want to get the observation category, i.e. the percentage. The goal of this section is to get the tile data for a particular species for the \"pinks\" colormap and assign a category (integer, 0 to 3, inclusive) according to the nearest \"pinks\" color. The categories are: `0` for 0-25%; `1` for 25-50%; `2` for 50-75%; and `3` for 75-100%."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "a0e2cde4",
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    "ExecuteTime": {
     "end_time": "2023-08-16T17:03:13.730036Z",
     "start_time": "2023-08-16T17:03:13.719760Z"
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fetching: https://species.atlasofthesmokies.org/atbirecords/lexical_index.json\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "b'{\"items\": [{\"common_name\": \"Red Maple\", \"irma_id\": \"0000337\", \"latin_name_ref\": \"Acer rubrum v rubrum\", \"latin_name\": \"Acer_rubrum_v_rubrum\"}, {\"common_name\": \"Sugar Maple\", \"irma_id\": \"0000341\", \"latin_name_ref\": \"Acer saccharum\", \"latin_name\": \"Acer_saccharum\"}, {\"common_name\": \"Tuliptree  \", \"irma_id\": \"0023010\", \"latin_name_ref\": \"Liriodendron tulipifera\", \"latin_name\": \"Liriodendron_tulipifera\"}, {\"common_name\": \"Eastern Hemlock\", \"irma_id\": \"0041423\", \"latin_name_ref\": \"Tsuga canadensis\", \"latin_name\": \"Tsuga_canadensis\"}, {\"common_name\": \"American Beech\", \"irma_id\": \"0016280\", \"latin_name_ref\": \"Fagus grandifolia\", \"latin_name\": \"Fagus_grandifolia\"}, {\"common_name\": \"Virginia Pine\", \"irma_id\": \"0031480\", \"latin_name_ref\": \"Pinus virginiana\", \"latin_name\": \"Pinus_virginiana\"}, {\"common_name\": \"Eastern White Pine\", \"irma_id\": \"0031478\", \"latin_name_ref\": \"Pinus strobus\", \"latin_name\": \"Pinus_strobus\"}, {\"common_name\": \"American Hornbeam\", \"irma_id\": \"0007165\", \"latin_name_ref\": \"Carpinus caroliniana\", \"latin_name\": \"Carpinus_caroliniana\"}, {\"common_name\": \"Flowering Dogwood\", \"irma_id\": \"0010101\", \"latin_name_ref\": \"Cornus florida\", \"latin_name\": \"Cornus_florida\"}, {\"common_name\": \"Sourwood\", \"irma_id\": \"0028205\", \"latin_name_ref\": \"Oxydendrum arboreum\", \"latin_name\": \"Oxydendrum_arboreum\"}, {\"common_name\": \"Sweet-Gum\", \"irma_id\": \"0023006\", \"latin_name_ref\": \"Liquidambar styraciflua\", \"latin_name\": \"Liquidambar_styraciflua\"}, {\"common_name\": \"Yellow Buckeye\", \"irma_id\": \"0000129\", \"latin_name_ref\": \"Aesculus flava\", \"latin_name\": \"Aesculus_flava\"}, {\"common_name\": \"Chestnut Oak\", \"irma_id\": \"0034382\", \"latin_name_ref\": \"Quercus prinus\", \"latin_name\": \"Quercus_prinus\"}, {\"common_name\": \"Black Gum \", \"irma_id\": \"0026948\", \"latin_name_ref\": \"Nyssa sylvatica\", \"latin_name\": \"Nyssa_sylvatica\"}, {\"common_name\": \"Northern White Oak\", \"irma_id\": \"0034369\", \"latin_name_ref\": \"Quercus alba\", \"latin_name\": \"Quercus_alba\"}, {\"common_name\": \"Christmas Fern\", \"irma_id\": \"0032349\", \"latin_name_ref\": \"Polystichum acrostichoides\", \"latin_name\": \"Polystichum_acrostichoides\"}, {\"common_name\": \"Early Lowbush Blueberry\", \"irma_id\": \"0042020\", \"latin_name_ref\": \"Vaccinium pallidum\", \"latin_name\": \"Vaccinium_pallidum\"}, {\"common_name\": \"Common Alder\", \"irma_id\": \"0001493\", \"latin_name_ref\": \"Alnus serrulata\", \"latin_name\": \"Alnus_serrulata\"}, {\"common_name\": \"Sawbrier\", \"irma_id\": \"0037281\", \"latin_name_ref\": \"Smilax glauca\", \"latin_name\": \"Smilax_glauca\"}, {\"common_name\": \"Redbud\", \"irma_id\": \"0007828\", \"latin_name_ref\": \"Cercis canadensis v canadensis\", \"latin_name\": \"Cercis_canadensis_v_canadensis\"}, {\"common_name\": \"Winged Sumac Variety\", \"irma_id\": \"0035111\", \"latin_name_ref\": \"Rhus copallinum variety\", \"latin_name\": \"Rhus_copallinum_variety\"}, {\"common_name\": \"American Sycamore\", \"irma_id\": \"0031735\", \"latin_name_ref\": \"Platanus occidentalis\", \"latin_name\": \"Platanus_occidentalis\"}, {\"common_name\": \"Horsebrier\", \"irma_id\": \"0037286\", \"latin_name_ref\": \"Smilax rotundifolia\", \"latin_name\": \"Smilax_rotundifolia\"}, {\"common_name\": \"Deerberry\", \"irma_id\": \"0042024\", \"latin_name_ref\": \"Vaccinium stamineum variety\", \"latin_name\": \"Vaccinium_stamineum_variety\"}, {\"common_name\": \"American Strawberry-Bush\", \"irma_id\": \"0015642\", \"latin_name_ref\": \"Euonymus americanus\", \"latin_name\": \"Euonymus_americanus\"}, {\"common_name\": \"Northern Red Oak\", \"irma_id\": \"0034383\", \"latin_name_ref\": \"Quercus rubra\", \"latin_name\": \"Quercus_rubra\"}, {\"common_name\": \"Pignut Hickory\", \"irma_id\": \"0007192\", \"latin_name_ref\": \"Carya glabra\", \"latin_name\": \"Carya_glabra\"}, {\"common_name\": \"Sassafras\", \"irma_id\": \"0035604\", \"latin_name_ref\": \"Sassafras albidum\", \"latin_name\": \"Sassafras_albidum\"}, {\"common_name\": \"Scarlet Oak\", \"irma_id\": \"0034370\", \"latin_name_ref\": \"Quercus coccinea\", \"latin_name\": \"Quercus_coccinea\"}, {\"common_name\": \"Four-Flower Yellow-Loosestrife\", \"irma_id\": \"0023582\", \"latin_name_ref\": \"Lysimachia quadrifolia\", \"latin_name\": \"Lysimachia_quadrifolia\"}, {\"common_name\": \"Greater Tickseed\", \"irma_id\": \"0010072\", \"latin_name_ref\": \"Coreopsis major variety\", \"latin_name\": \"Coreopsis_major_variety\"}, {\"common_name\": \"Black Locust\", \"irma_id\": \"0035341\", \"latin_name_ref\": \"Robinia pseudoacacia\", \"latin_name\": \"Robinia_pseudoacacia\"}, {\"common_name\": \"Muscadine\", \"irma_id\": \"0042385\", \"latin_name_ref\": \"Vitis rotundifolia\", \"latin_name\": \"Vitis_rotundifolia\"}, {\"common_name\": \"Yellow Indian Grass\", \"irma_id\": \"0037464\", \"latin_name_ref\": \"Sorghastrum nutans\", \"latin_name\": \"Sorghastrum_nutans\"}, {\"common_name\": \"Goat\\\\u2019S-Rue\", \"irma_id\": \"0039757\", \"latin_name_ref\": \"Tephrosia virginiana\", \"latin_name\": \"Tephrosia_virginiana\"}, {\"common_name\": \"Pitch Pine\", \"irma_id\": \"0031476\", \"latin_name_ref\": \"Pinus rigida\", \"latin_name\": \"Pinus_rigida\"}, {\"common_name\": \"Black Oak\", \"irma_id\": \"0034387\", \"latin_name_ref\": \"Quercus velutina\", \"latin_name\": \"Quercus_velutina\"}, {\"common_name\": \"Redline Darter\", \"irma_id\": \"0014976\", \"latin_name_ref\": \"Etheostoma rufilineatum\", \"latin_name\": \"Etheostoma_rufilineatum\"}, {\"common_name\": \"White Ash\", \"irma_id\": \"0016833\", \"latin_name_ref\": \"Fraxinus americana variety\", \"latin_name\": \"Fraxinus_americana_variety\"}, {\"common_name\": \"Striped Pipsissewa\", \"irma_id\": \"0008078\", \"latin_name_ref\": \"Chimaphila maculata\", \"latin_name\": \"Chimaphila_maculata\"}, {\"common_name\": \"Mountain-Laurel\", \"irma_id\": \"0021198\", \"latin_name_ref\": \"Kalmia latifolia\", \"latin_name\": \"Kalmia_latifolia\"}, {\"common_name\": \"Eastern Poison-Ivy\", \"irma_id\": \"0040609\", \"latin_name_ref\": \"Toxicodendron radicans radicans\", \"latin_name\": \"Toxicodendron_radicans_radicans\"}, {\"common_name\": \"Mockernut Hickory\", \"irma_id\": \"0007189\", \"latin_name_ref\": \"Carya alba\", \"latin_name\": \"Carya_alba\"}, {\"common_name\": \"American Holly\", \"irma_id\": \"0020695\", \"latin_name_ref\": \"Ilex opaca v opaca\", \"latin_name\": \"Ilex_opaca_v_opaca\"}, {\"common_name\": \"Feathery False Solomon\\'S-Seal\", \"irma_id\": \"0023807\", \"latin_name_ref\": \"Maianthemum racemosum racemosum\", \"latin_name\": \"Maianthemum_racemosum_racemosum\"}, {\"common_name\": \"Blackjack Oak\", \"irma_id\": \"0034374\", \"latin_name_ref\": \"Quercus marilandica\", \"latin_name\": \"Quercus_marilandica\"}, {\"common_name\": \"Sweet Birch\", \"irma_id\": \"0004767\", \"latin_name_ref\": \"Betula lenta\", \"latin_name\": \"Betula_lenta\"}, {\"common_name\": \"Whitetail Shiner\", \"irma_id\": \"0011081\", \"latin_name_ref\": \"Cyprinella galactura\", \"latin_name\": \"Cyprinella_galactura\"}, {\"common_name\": \"Flowering Spurge\", \"irma_id\": \"0015714\", \"latin_name_ref\": \"Euphorbia corollata\", \"latin_name\": \"Euphorbia_corollata\"}, {\"common_name\": \"Common Persimmon\", \"irma_id\": \"0011365\", \"latin_name_ref\": \"Diospyros virginiana\", \"latin_name\": \"Diospyros_virginiana\"}, {\"common_name\": \"Fraser\\\\u2019S Magnolia\", \"irma_id\": \"0023797\", \"latin_name_ref\": \"Magnolia fraseri\", \"latin_name\": \"Magnolia_fraseri\"}, {\"common_name\": \"Northern Hog Sucker\", \"irma_id\": \"0020292\", \"latin_name_ref\": \"Hypentelium nigricans\", \"latin_name\": \"Hypentelium_nigricans\"}, {\"common_name\": \"Red-Eyed Vireo\", \"irma_id\": \"0042365\", \"latin_name_ref\": \"Vireo olivaceus\", \"latin_name\": \"Vireo_olivaceus\"}, {\"common_name\": \"River Chub\", \"irma_id\": \"0026709\", \"latin_name_ref\": \"Nocomis micropogon\", \"latin_name\": \"Nocomis_micropogon\"}, {\"common_name\": \"Variable Panic Grass\", \"irma_id\": \"0012105\", \"latin_name_ref\": \"Dichanthelium commutatum\", \"latin_name\": \"Dichanthelium_commutatum\"}, {\"common_name\": \"Black-Throated Green Warbler\", \"irma_id\": \"0036700\", \"latin_name_ref\": \"Setophaga virens\", \"latin_name\": \"Setophaga_virens\"}, {\"common_name\": \"Hairy Blueberry\", \"irma_id\": \"0042017\", \"latin_name_ref\": \"Vaccinium hirsutum\", \"latin_name\": \"Vaccinium_hirsutum\"}, {\"common_name\": \"Striped Maple \", \"irma_id\": \"0000333\", \"latin_name_ref\": \"Acer pensylvanicum\", \"latin_name\": \"Acer_pensylvanicum\"}, {\"common_name\": \"Buffalo-Nut  \", \"irma_id\": \"0034333\", \"latin_name_ref\": \"Pyrularia pubera\", \"latin_name\": \"Pyrularia_pubera\"}, {\"common_name\": \"Mountain Holly\", \"irma_id\": \"0020693\", \"latin_name_ref\": \"Ilex montana\", \"latin_name\": \"Ilex_montana\"}, {\"common_name\": \"Little False Bluestem\", \"irma_id\": \"0035757\", \"latin_name_ref\": \"Schizachyrium scoparium v scoparium\", \"latin_name\": \"Schizachyrium_scoparium_v_scoparium\"}, {\"common_name\": \"Indigo Bunting\", \"irma_id\": \"0028022\", \"latin_name_ref\": \"Passerina cyanea\", \"latin_name\": \"Passerina_cyanea\"}, {\"common_name\": \"Fungus\", \"irma_id\": \"0036247\", \"latin_name_ref\": \"Seiurus aurocapilla\", \"latin_name\": \"Seiurus_aurocapilla\"}, {\"common_name\": \"Common Silverbell\", \"irma_id\": \"0018255\", \"latin_name_ref\": \"Halesia tetraptera variety\", \"latin_name\": \"Halesia_tetraptera_variety\"}, {\"common_name\": \"Maple-Leaf Arrow-Wood\", \"irma_id\": \"0042267\", \"latin_name_ref\": \"Viburnum acerifolium\", \"latin_name\": \"Viburnum_acerifolium\"}, {\"common_name\": \"Virginia Creeper\", \"irma_id\": \"0027992\", \"latin_name_ref\": \"Parthenocissus quinquefolia\", \"latin_name\": \"Parthenocissus_quinquefolia\"}, {\"common_name\": \"Bear Huckleberry\", \"irma_id\": \"0017109\", \"latin_name_ref\": \"Gaylussacia ursina\", \"latin_name\": \"Gaylussacia_ursina\"}, {\"common_name\": \"Rattlesnake-Weed\", \"irma_id\": \"0017792\", \"latin_name_ref\": \"Hieracium venosum\", \"latin_name\": \"Hieracium_venosum\"}, {\"common_name\": \"Hooded Warbler\", \"irma_id\": \"0036687\", \"latin_name_ref\": \"Setophaga citrina\", \"latin_name\": \"Setophaga_citrina\"}, {\"common_name\": \"Short-Leaf Pine\", \"irma_id\": \"0031473\", \"latin_name_ref\": \"Pinus echinata\", \"latin_name\": \"Pinus_echinata\"}, {\"common_name\": \"Scarlet Tanager\", \"irma_id\": \"0031497\", \"latin_name_ref\": \"Piranga olivacea\", \"latin_name\": \"Piranga_olivacea\"}, {\"common_name\": \"Summer Grape\", \"irma_id\": \"0042378\", \"latin_name_ref\": \"Vitis aestivalis v aestivalis\", \"latin_name\": \"Vitis_aestivalis_v_aestivalis\"}, {\"common_name\": \"Naked-Flower Tick-Trefoil\", \"irma_id\": \"0011903\", \"latin_name_ref\": \"Desmodium nudiflorum\", \"latin_name\": \"Desmodium_nudiflorum\"}, {\"common_name\": \"American Crow\", \"irma_id\": \"0010244\", \"latin_name_ref\": \"Corvus brachyrhynchos\", \"latin_name\": \"Corvus_brachyrhynchos\"}, {\"common_name\": \"Black Chokecherry\", \"irma_id\": \"0033010\", \"latin_name_ref\": \"Prunus serotina v serotina\", \"latin_name\": \"Prunus_serotina_v_serotina\"}, {\"common_name\": \"Rue-Anemone\", \"irma_id\": \"0038579\", \"latin_name_ref\": \"Thalictrum thalictroides\", \"latin_name\": \"Thalictrum_thalictroides\"}, {\"common_name\": \"Ebony Spleenwort\", \"irma_id\": \"0004131\", \"latin_name_ref\": \"Asplenium platyneuron\", \"latin_name\": \"Asplenium_platyneuron\"}, {\"common_name\": \"Wavy-Leaf American-Aster\", \"irma_id\": \"0039094\", \"latin_name_ref\": \"Symphyotrichum undulatum\", \"latin_name\": \"Symphyotrichum_undulatum\"}, {\"common_name\": \"Mountain Bellwort\", \"irma_id\": \"0042003\", \"latin_name_ref\": \"Uvularia puberula\", \"latin_name\": \"Uvularia_puberula\"}, {\"common_name\": \"Black Huckleberry\", \"irma_id\": \"0017107\", \"latin_name_ref\": \"Gaylussacia baccata\", \"latin_name\": \"Gaylussacia_baccata\"}, {\"common_name\": \"Warpaint Shiner\", \"irma_id\": \"0023432\", \"latin_name_ref\": \"Luxilus coccogenis\", \"latin_name\": \"Luxilus_coccogenis\"}, {\"common_name\": \"Pileated Woodpecker\", \"irma_id\": \"0013009\", \"latin_name_ref\": \"Dryocopus pileatus\", \"latin_name\": \"Dryocopus_pileatus\"}, {\"common_name\": \"Carolina Chickadee\", \"irma_id\": \"0031946\", \"latin_name_ref\": \"Poecile carolinensis\", \"latin_name\": \"Poecile_carolinensis\"}, {\"common_name\": \"Eastern Hay-Scented Fern\", \"irma_id\": \"0011789\", \"latin_name_ref\": \"Dennstaedtia punctilobula\", \"latin_name\": \"Dennstaedtia_punctilobula\"}, {\"common_name\": \"Rosebay Rhododendron \", \"irma_id\": \"0035066\", \"latin_name_ref\": \"Rhododendron maximum\", \"latin_name\": \"Rhododendron_maximum\"}, {\"common_name\": \"Acadian Flycatcher\", \"irma_id\": \"0013547\", \"latin_name_ref\": \"Empidonax virescens\", \"latin_name\": \"Empidonax_virescens\"}, {\"common_name\": \"American Witch-Hazel\", \"irma_id\": \"0018294\", \"latin_name_ref\": \"Hamamelis virginiana\", \"latin_name\": \"Hamamelis_virginiana\"}, {\"common_name\": \"Tree Sparkle-Berry\", \"irma_id\": \"0042011\", \"latin_name_ref\": \"Vaccinium arboreum\", \"latin_name\": \"Vaccinium_arboreum\"}, {\"common_name\": \"White Snakeroot\", \"irma_id\": \"0000985\", \"latin_name_ref\": \"Ageratina altissima v altissima\", \"latin_name\": \"Ageratina_altissima_v_altissima\"}, {\"common_name\": \"Highland Doghobble\", \"irma_id\": \"0022461\", \"latin_name_ref\": \"Leucothoe fontanesiana\", \"latin_name\": \"Leucothoe_fontanesiana\"}, {\"common_name\": \"Worm-Eating Warbler\", \"irma_id\": \"0018649\", \"latin_name_ref\": \"Helmitheros vermivorus\", \"latin_name\": \"Helmitheros_vermivorus\"}, {\"common_name\": \"Tufted Titmouse\", \"irma_id\": \"0003263\", \"latin_name_ref\": \"Baeolophus bicolor\", \"latin_name\": \"Baeolophus_bicolor\"}, {\"common_name\": \"Black-And-White Warbler\", \"irma_id\": \"0025462\", \"latin_name_ref\": \"Mniotilta varia\", \"latin_name\": \"Mniotilta_varia\"}, {\"common_name\": \"Oldfield Cinquefoil\", \"irma_id\": \"0032520\", \"latin_name_ref\": \"Potentilla simplex\", \"latin_name\": \"Potentilla_simplex\"}, {\"common_name\": \"Trailing-Arbutus\", \"irma_id\": \"0014106\", \"latin_name_ref\": \"Epigaea repens\", \"latin_name\": \"Epigaea_repens\"}, {\"common_name\": \"Table Mountain Pine\", \"irma_id\": \"0031475\", \"latin_name_ref\": \"Pinus pungens\", \"latin_name\": \"Pinus_pungens\"}, {\"common_name\": \"Halberd-Leaf Yellow Violet\", \"irma_id\": \"0042317\", \"latin_name_ref\": \"Viola hastata\", \"latin_name\": \"Viola_hastata\"}, {\"common_name\": \"Blue-Headed Vireo\", \"irma_id\": \"0042367\", \"latin_name_ref\": \"Vireo solitarius\", \"latin_name\": \"Vireo_solitarius\"}, {\"common_name\": \"Smooth Shadbush \", \"irma_id\": \"0001757\", \"latin_name_ref\": \"Amelanchier laevis\", \"latin_name\": \"Amelanchier_laevis\"}, {\"common_name\": \"Pine Warbler\", \"irma_id\": \"0036696\", \"latin_name_ref\": \"Setophaga pinus\", \"latin_name\": \"Setophaga_pinus\"}, {\"common_name\": \"Anise-Scented Goldenrod\", \"irma_id\": \"0037384\", \"latin_name_ref\": \"Solidago odora\", \"latin_name\": \"Solidago_odora\"}, {\"common_name\": \"Wood Thrush\", \"irma_id\": \"0020188\", \"latin_name_ref\": \"Hylocichla mustelina\", \"latin_name\": \"Hylocichla_mustelina\"}, {\"common_name\": \"Red-Breasted Nuthatch\", \"irma_id\": \"0037229\", \"latin_name_ref\": \"Sitta canadensis\", \"latin_name\": \"Sitta_canadensis\"}, {\"common_name\": \"Dark-Eyed Junco\", \"irma_id\": \"0020999\", \"latin_name_ref\": \"Junco hyemalis\", \"latin_name\": \"Junco_hyemalis\"}, {\"common_name\": \"White-Breasted Nuthatch\", \"irma_id\": \"0037230\", \"latin_name_ref\": \"Sitta carolinensis\", \"latin_name\": \"Sitta_carolinensis\"}, {\"common_name\": \"Blue Ridge Two-Lined Salamander\", \"irma_id\": \"0014742\", \"latin_name_ref\": \"Eurycea wilderae\", \"latin_name\": \"Eurycea_wilderae\"}, {\"common_name\": \"Curtis\\' Goldenrod\", \"irma_id\": \"0037373\", \"latin_name_ref\": \"Solidago curtisii\", \"latin_name\": \"Solidago_curtisii\"}, {\"common_name\": \"Crossvine\", \"irma_id\": \"0004815\", \"latin_name_ref\": \"Bignonia capreolata\", \"latin_name\": \"Bignonia_capreolata\"}, {\"common_name\": \"Northern Parula\", \"irma_id\": \"0036683\", \"latin_name_ref\": \"Setophaga americana\", \"latin_name\": \"Setophaga_americana\"}, {\"common_name\": \"White Wood-Aster\", \"irma_id\": \"0014725\", \"latin_name_ref\": \"Eurybia divaricata\", \"latin_name\": \"Eurybia_divaricata\"}, {\"common_name\": \"Silver-Leaf Hydrangea\", \"irma_id\": \"0019782\", \"latin_name_ref\": \"Hydrangea radiata\", \"latin_name\": \"Hydrangea_radiata\"}, {\"common_name\": \"Yellow-Throated Warbler\", \"irma_id\": \"0036690\", \"latin_name_ref\": \"Setophaga dominica\", \"latin_name\": \"Setophaga_dominica\"}, {\"common_name\": \"Tennessee Shiner\", \"irma_id\": \"0026868\", \"latin_name_ref\": \"Notropis leuciodus\", \"latin_name\": \"Notropis_leuciodus\"}, {\"common_name\": \"American Hog-Peanut\", \"irma_id\": \"0001875\", \"latin_name_ref\": \"Amphicarpaea bracteata\", \"latin_name\": \"Amphicarpaea_bracteata\"}, {\"common_name\": \"Slippery Elm\", \"irma_id\": \"0041637\", \"latin_name_ref\": \"Ulmus rubra\", \"latin_name\": \"Ulmus_rubra\"}, {\"common_name\": \"Eastern Towhee\", \"irma_id\": \"0031483\", \"latin_name_ref\": \"Pipilo erythrophthalmus\", \"latin_name\": \"Pipilo_erythrophthalmus\"}, {\"common_name\": \"Blue Jay\", \"irma_id\": \"0010928\", \"latin_name_ref\": \"Cyanocitta cristata\", \"latin_name\": \"Cyanocitta_cristata\"}, {\"common_name\": \"Chimney Swift\", \"irma_id\": \"0006575\", \"latin_name_ref\": \"Chaetura pelagica\", \"latin_name\": \"Chaetura_pelagica\"}, {\"common_name\": \"Creeping Aster\", \"irma_id\": \"0014731\", \"latin_name_ref\": \"Eurybia surculosa\", \"latin_name\": \"Eurybia_surculosa\"}, {\"common_name\": \"New York Fern\", \"irma_id\": \"0038675\", \"latin_name_ref\": \"Thelypteris noveboracensis\", \"latin_name\": \"Thelypteris_noveboracensis\"}, {\"common_name\": \"Southern Harebell \", \"irma_id\": \"0005276\", \"latin_name_ref\": \"Campanula divaricata\", \"latin_name\": \"Campanula_divaricata\"}, {\"common_name\": \"Japanese Stilt Grass\", \"irma_id\": \"0025267\", \"latin_name_ref\": \"Microstegium vimineum\", \"latin_name\": \"Microstegium_vimineum\"}, {\"common_name\": \"Canadian Blacksnakeroot\", \"irma_id\": \"0033209\", \"latin_name_ref\": \"Sanicula canadensis v canadensis\", \"latin_name\": \"Sanicula_canadensis_v_canadensis\"}, {\"common_name\": \"Yellow Birch\", \"irma_id\": \"0004765\", \"latin_name_ref\": \"Betula alleghaniensis variety\", \"latin_name\": \"Betula_alleghaniensis_variety\"}, {\"common_name\": \"Perfoliate Bellwort\", \"irma_id\": \"0042002\", \"latin_name_ref\": \"Uvularia perfoliata\", \"latin_name\": \"Uvularia_perfoliata\"}, {\"common_name\": \"Yellow Ragwort \", \"irma_id\": \"0028378\", \"latin_name_ref\": \"Packera anonyma\", \"latin_name\": \"Packera_anonyma\"}, {\"common_name\": \"Heart-Leaf Aster\", \"irma_id\": \"0039072\", \"latin_name_ref\": \"Symphyotrichum cordifolium variety\", \"latin_name\": \"Symphyotrichum_cordifolium_variety\"}, {\"common_name\": \"Hairy-Leaved Shadbush \", \"irma_id\": \"0001756\", \"latin_name_ref\": \"Amelanchier arborea\", \"latin_name\": \"Amelanchier_arborea\"}, {\"common_name\": \"Great Chickweed\", \"irma_id\": \"0037984\", \"latin_name_ref\": \"Stellaria pubera\", \"latin_name\": \"Stellaria_pubera\"}, {\"common_name\": \"Sweet White Violet\", \"irma_id\": \"0042309\", \"latin_name_ref\": \"Viola blanda variety\", \"latin_name\": \"Viola_blanda_variety\"}, {\"common_name\": \"Dwarf Cinquefoil\", \"irma_id\": \"0032516\", \"latin_name_ref\": \"Potentilla canadensis\", \"latin_name\": \"Potentilla_canadensis\"}, {\"common_name\": \"Northern Maidenhair\", \"irma_id\": \"0000059\", \"latin_name_ref\": \"Adiantum pedatum\", \"latin_name\": \"Adiantum_pedatum\"}, {\"common_name\": \"Rattlesnake Fern\", \"irma_id\": \"0005470\", \"latin_name_ref\": \"Botrychium virginianum\", \"latin_name\": \"Botrychium_virginianum\"}, {\"common_name\": \"Broad Beech Fern\", \"irma_id\": \"0030236\", \"latin_name_ref\": \"Phegopteris hexagonoptera\", \"latin_name\": \"Phegopteris_hexagonoptera\"}, {\"common_name\": \"Jack-In-The-Pulpit\", \"irma_id\": \"0003857\", \"latin_name_ref\": \"Arisaema triphyllum triphyllum\", \"latin_name\": \"Arisaema_triphyllum_triphyllum\"}, {\"common_name\": \"He-Huckleberry\", \"irma_id\": \"0023566\", \"latin_name_ref\": \"Lyonia ligustrina v ligustrina\", \"latin_name\": \"Lyonia_ligustrina_v_ligustrina\"}, {\"common_name\": \"Sessile-Leaf Bellwort\", \"irma_id\": \"0042005\", \"latin_name_ref\": \"Uvularia sessilifolia\", \"latin_name\": \"Uvularia_sessilifolia\"}, {\"common_name\": \"Marginal Wood Fern\", \"irma_id\": \"0013031\", \"latin_name_ref\": \"Dryopteris marginalis\", \"latin_name\": \"Dryopteris_marginalis\"}, {\"common_name\": \"Small Woodland Sunflower\", \"irma_id\": \"0018504\", \"latin_name_ref\": \"Helianthus microcephalus\", \"latin_name\": \"Helianthus_microcephalus\"}, {\"common_name\": \"Showy Goldenrod\", \"irma_id\": \"0037397\", \"latin_name_ref\": \"Solidago speciosa v rigidiuscula\", \"latin_name\": \"Solidago_speciosa_v_rigidiuscula\"}, {\"common_name\": \"Smallmouth Bass\", \"irma_id\": \"0025233\", \"latin_name_ref\": \"Micropterus dolomieu\", \"latin_name\": \"Micropterus_dolomieu\"}, {\"common_name\": \"Telescope Shiner\", \"irma_id\": \"0026874\", \"latin_name_ref\": \"Notropis telescopus\", \"latin_name\": \"Notropis_telescopus\"}, {\"common_name\": \"Indian Cucumber-Root\", \"irma_id\": \"0022774\", \"latin_name_ref\": \"Medeola virginiana\", \"latin_name\": \"Medeola_virginiana\"}, {\"common_name\": \"Large-Leaf Wood-Aster\", \"irma_id\": \"0014728\", \"latin_name_ref\": \"Eurybia macrophylla\", \"latin_name\": \"Eurybia_macrophylla\"}, {\"common_name\": \"Eastern Yellow Star-Grass\", \"irma_id\": \"0020518\", \"latin_name_ref\": \"Hypoxis hirsuta\", \"latin_name\": \"Hypoxis_hirsuta\"}, {\"common_name\": \"Carolina Vetch\", \"irma_id\": \"0042287\", \"latin_name_ref\": \"Vicia caroliniana\", \"latin_name\": \"Vicia_caroliniana\"}, {\"common_name\": \"Evergreen Woodfern\", \"irma_id\": \"0013030\", \"latin_name_ref\": \"Dryopteris intermedia\", \"latin_name\": \"Dryopteris_intermedia\"}, {\"common_name\": \"Smooth Blackberry\", \"irma_id\": \"0035421\", \"latin_name_ref\": \"Rubus canadensis\", \"latin_name\": \"Rubus_canadensis\"}, {\"common_name\": \"Stoneroot  \", \"irma_id\": \"0008357\", \"latin_name_ref\": \"Collinsonia canadensis\", \"latin_name\": \"Collinsonia_canadensis\"}, {\"common_name\": \"Spotted St. John\\\\u2019S-Wort\", \"irma_id\": \"0020324\", \"latin_name_ref\": \"Hypericum punctatum\", \"latin_name\": \"Hypericum_punctatum\"}, {\"common_name\": \"Cucumber-Tree\", \"irma_id\": \"0023796\", \"latin_name_ref\": \"Magnolia acuminata\", \"latin_name\": \"Magnolia_acuminata\"}, {\"common_name\": \"Louisiana Waterthrush\", \"irma_id\": \"0029173\", \"latin_name_ref\": \"Parkesia motacilla\", \"latin_name\": \"Parkesia_motacilla\"}, {\"common_name\": \"Central Stoneroller\", \"irma_id\": \"0005305\", \"latin_name_ref\": \"Campostoma anomalum\", \"latin_name\": \"Campostoma_anomalum\"}, {\"common_name\": \"Carolina Wren\", \"irma_id\": \"0039998\", \"latin_name_ref\": \"Thryothorus ludovicianus\", \"latin_name\": \"Thryothorus_ludovicianus\"}, {\"common_name\": \"Bosc\\\\u2019S Rosette Grass\", \"irma_id\": \"0012102\", \"latin_name_ref\": \"Dichanthelium boscii\", \"latin_name\": \"Dichanthelium_boscii\"}, {\"common_name\": \"Canadian Wood-Nettle\", \"irma_id\": \"0021704\", \"latin_name_ref\": \"Laportea canadensis\", \"latin_name\": \"Laportea_canadensis\"}, {\"common_name\": \"Yellow Fairybells\", \"irma_id\": \"0032838\", \"latin_name_ref\": \"Prosartes lanuginosa\", \"latin_name\": \"Prosartes_lanuginosa\"}, {\"common_name\": \"Three-Leaved Rattlesnake-Root\", \"irma_id\": \"0032555\", \"latin_name_ref\": \"Prenanthes trifoliolata\", \"latin_name\": \"Prenanthes_trifoliolata\"}, {\"common_name\": \"Northern Black Racer\", \"irma_id\": \"0009603\", \"latin_name_ref\": \"Coluber constrictor constrictor\", \"latin_name\": \"Coluber_constrictor_constrictor\"}, {\"common_name\": \"Cinnamon Fern\", \"irma_id\": \"0028130\", \"latin_name_ref\": \"Osmundastrum cinnamomeum\", \"latin_name\": \"Osmundastrum_cinnamomeum\"}, {\"common_name\": \"Veery\", \"irma_id\": \"0007284\", \"latin_name_ref\": \"Catharus fuscescens\", \"latin_name\": \"Catharus_fuscescens\"}, {\"common_name\": \"Black-Throated Blue Warbler\", \"irma_id\": \"0036684\", \"latin_name_ref\": \"Setophaga caerulescens\", \"latin_name\": \"Setophaga_caerulescens\"}, {\"common_name\": \"Maryland Golden-Aster\", \"irma_id\": \"0008562\", \"latin_name_ref\": \"Chrysopsis mariana\", \"latin_name\": \"Chrysopsis_mariana\"}, {\"common_name\": \"Spotted Dusky Salamander\", \"irma_id\": \"0011915\", \"latin_name_ref\": \"Desmognathus conanti\", \"latin_name\": \"Desmognathus_conanti\"}, {\"common_name\": \"Northern Copperhead\", \"irma_id\": \"0000993\", \"latin_name_ref\": \"Agkistrodon contortrix mokasen\", \"latin_name\": \"Agkistrodon_contortrix_mokasen\"}, {\"common_name\": \"Spicebush\", \"irma_id\": \"0022675\", \"latin_name_ref\": \"Lindera benzoin\", \"latin_name\": \"Lindera_benzoin\"}, {\"common_name\": \"Common Stone\", \"irma_id\": \"0000685\", \"latin_name_ref\": \"Acroneuria abnormis\", \"latin_name\": \"Acroneuria_abnormis\"}, {\"common_name\": \"Entire-Leaf Yellow False Foxglove\", \"irma_id\": \"0004492\", \"latin_name_ref\": \"Aureolaria laevigata\", \"latin_name\": \"Aureolaria_laevigata\"}, {\"common_name\": \"Wild Hydrangea\", \"irma_id\": \"0019778\", \"latin_name_ref\": \"Hydrangea arborescens\", \"latin_name\": \"Hydrangea_arborescens\"}, {\"common_name\": \"Black-Bellied Salamander\", \"irma_id\": \"0011926\", \"latin_name_ref\": \"Desmognathus quadramaculatus\", \"latin_name\": \"Desmognathus_quadramaculatus\"}, {\"common_name\": \"Northern Flicker\", \"irma_id\": \"0009425\", \"latin_name_ref\": \"Colaptes auratus\", \"latin_name\": \"Colaptes_auratus\"}, {\"common_name\": \"Canadian Violet\", \"irma_id\": \"0042310\", \"latin_name_ref\": \"Viola canadensis v canadensis\", \"latin_name\": \"Viola_canadensis_v_canadensis\"}, {\"common_name\": \"Fragrant Bedstraw\", \"irma_id\": \"0017030\", \"latin_name_ref\": \"Galium triflorum variety\", \"latin_name\": \"Galium_triflorum_variety\"}, {\"common_name\": \"Sweet Joe-Pye-Weed\", \"irma_id\": \"0015691\", \"latin_name_ref\": \"Eupatorium purpureum v purpureum\", \"latin_name\": \"Eupatorium_purpureum_v_purpureum\"}, {\"common_name\": \"Toothwort  \", \"irma_id\": \"0006523\", \"latin_name_ref\": \"Cardamine diphylla\", \"latin_name\": \"Cardamine_diphylla\"}, {\"common_name\": \"Spurious Retreat-Maker\", \"irma_id\": \"0019953\", \"latin_name_ref\": \"Hydropsyche sparna\", \"latin_name\": \"Hydropsyche_sparna\"}, {\"common_name\": \"One-Flower Indian-Pipe\", \"irma_id\": \"0025654\", \"latin_name_ref\": \"Monotropa uniflora\", \"latin_name\": \"Monotropa_uniflora\"}, {\"common_name\": \"Hairy Woodpecker\", \"irma_id\": \"0031337\", \"latin_name_ref\": \"Picoides villosus\", \"latin_name\": \"Picoides_villosus\"}, {\"common_name\": \"Chinaroot\", \"irma_id\": \"0037289\", \"latin_name_ref\": \"Smilax tamnoides variety\", \"latin_name\": \"Smilax_tamnoides_variety\"}, {\"common_name\": \"Mountain Sweet Pepper-Bush\", \"irma_id\": \"0009059\", \"latin_name_ref\": \"Clethra acuminata\", \"latin_name\": \"Clethra_acuminata\"}, {\"common_name\": \"Black Walnut\", \"irma_id\": \"0020996\", \"latin_name_ref\": \"Juglans nigra\", \"latin_name\": \"Juglans_nigra\"}, {\"common_name\": \"Spoon-Leaf Purple Everlasting\", \"irma_id\": \"0017042\", \"latin_name_ref\": \"Gamochaeta purpurea\", \"latin_name\": \"Gamochaeta_purpurea\"}, {\"common_name\": \"Bitter-Nut Hickory\", \"irma_id\": \"0007191\", \"latin_name_ref\": \"Carya cordiformis\", \"latin_name\": \"Carya_cordiformis\"}, {\"common_name\": \"Great Crested Flycatcher\", \"irma_id\": \"0024379\", \"latin_name_ref\": \"Myiarchus crinitus\", \"latin_name\": \"Myiarchus_crinitus\"}, {\"common_name\": \"Eastern Wood Pewee\", \"irma_id\": \"0009755\", \"latin_name_ref\": \"Contopus virens\", \"latin_name\": \"Contopus_virens\"}, {\"common_name\": \"Green Ash\", \"irma_id\": \"0016834\", \"latin_name_ref\": \"Fraxinus pennsylvanica\", \"latin_name\": \"Fraxinus_pennsylvanica\"}, {\"common_name\": \"Woman\\\\u2019S-Tobacco\", \"irma_id\": \"0002528\", \"latin_name_ref\": \"Antennaria plantaginifolia\", \"latin_name\": \"Antennaria_plantaginifolia\"}, {\"common_name\": \"Seal Salamander\", \"irma_id\": \"0011922\", \"latin_name_ref\": \"Desmognathus monticola\", \"latin_name\": \"Desmognathus_monticola\"}, {\"common_name\": \"Shingle Oak\", \"irma_id\": \"0034373\", \"latin_name_ref\": \"Quercus imbricaria\", \"latin_name\": \"Quercus_imbricaria\"}, {\"common_name\": \"Round-Leaf Violet\", \"irma_id\": \"0042340\", \"latin_name_ref\": \"Viola rotundifolia\", \"latin_name\": \"Viola_rotundifolia\"}, {\"common_name\": \"Yellow-Billed Cuckoo\", \"irma_id\": \"0009346\", \"latin_name_ref\": \"Coccyzus americanus\", \"latin_name\": \"Coccyzus_americanus\"}, {\"common_name\": \"Rose-Breasted Grosbeak\", \"irma_id\": \"0030335\", \"latin_name_ref\": \"Pheucticus ludovicianus\", \"latin_name\": \"Pheucticus_ludovicianus\"}, {\"common_name\": \"Large Eastern Free Living Caddis\", \"irma_id\": \"0035165\", \"latin_name_ref\": \"Rhyacophila fuscula\", \"latin_name\": \"Rhyacophila_fuscula\"}, {\"common_name\": \"Chestnut-Sided Warbler\", \"irma_id\": \"0036694\", \"latin_name_ref\": \"Setophaga pensylvanica\", \"latin_name\": \"Setophaga_pensylvanica\"}, {\"common_name\": \"Alternate-Leaf Dogwood\", \"irma_id\": \"0010099\", \"latin_name_ref\": \"Cornus alternifolia\", \"latin_name\": \"Cornus_alternifolia\"}, {\"common_name\": \"Highbush Blueberry\", \"irma_id\": \"0042014\", \"latin_name_ref\": \"Vaccinium corymbosum\", \"latin_name\": \"Vaccinium_corymbosum\"}, {\"common_name\": \"American Goldfinch\", \"irma_id\": \"0037889\", \"latin_name_ref\": \"Spinus tristis\", \"latin_name\": \"Spinus_tristis\"}, {\"common_name\": \"Silvery-Spleenwort F \", \"irma_id\": \"0011795\", \"latin_name_ref\": \"Deparia acrostichoides\", \"latin_name\": \"Deparia_acrostichoides\"}, {\"common_name\": \"Annual Ragweed\", \"irma_id\": \"0001743\", \"latin_name_ref\": \"Ambrosia artemisiifolia\", \"latin_name\": \"Ambrosia_artemisiifolia\"}, {\"common_name\": \"Lowland Bladder Fern\", \"irma_id\": \"0011518\", \"latin_name_ref\": \"Cystopteris protrusa\", \"latin_name\": \"Cystopteris_protrusa\"}, {\"common_name\": \"Eastern Worm Snake\", \"irma_id\": \"0007162\", \"latin_name_ref\": \"Carphophis amoenus amoenus\", \"latin_name\": \"Carphophis_amoenus_amoenus\"}, {\"common_name\": \"Licorice Bedstraw\", \"irma_id\": \"0017015\", \"latin_name_ref\": \"Galium circaezans v circaezans\", \"latin_name\": \"Galium_circaezans_v_circaezans\"}, {\"common_name\": \"Showy Gentian\", \"irma_id\": \"0014829\", \"latin_name_ref\": \"Gentiana decora\", \"latin_name\": \"Gentiana_decora\"}, {\"common_name\": \"Widow\\\\u2019S-Frill\", \"irma_id\": \"0036999\", \"latin_name_ref\": \"Silene stellata\", \"latin_name\": \"Silene_stellata\"}, {\"common_name\": \"Southern Red Oak\", \"irma_id\": \"0034371\", \"latin_name_ref\": \"Quercus falcata\", \"latin_name\": \"Quercus_falcata\"}, {\"common_name\": \"Winter Caddisfly\", \"irma_id\": \"0012688\", \"latin_name_ref\": \"Dolophilodes distinctus\", \"latin_name\": \"Dolophilodes_distinctus\"}, {\"common_name\": \"Bearded Shorthusk\", \"irma_id\": \"0005544\", \"latin_name_ref\": \"Brachyelytrum erectum\", \"latin_name\": \"Brachyelytrum_erectum\"}, {\"common_name\": \"American Toad\", \"irma_id\": \"0002088\", \"latin_name_ref\": \"Anaxyrus americanus\", \"latin_name\": \"Anaxyrus_americanus\"}, {\"common_name\": \"Red-Bellied Woodpecker\", \"irma_id\": \"0024072\", \"latin_name_ref\": \"Melanerpes carolinus\", \"latin_name\": \"Melanerpes_carolinus\"}, {\"common_name\": \"Virginia Virgin-Bower\", \"irma_id\": \"0009032\", \"latin_name_ref\": \"Clematis virginiana\", \"latin_name\": \"Clematis_virginiana\"}, {\"common_name\": \"Blue-Gray Gnatcatcher\", \"irma_id\": \"0032013\", \"latin_name_ref\": \"Polioptila caerulea\", \"latin_name\": \"Polioptila_caerulea\"}, {\"common_name\": \"Hairy Sweet-Cicely\", \"irma_id\": \"0028123\", \"latin_name_ref\": \"Osmorhiza claytonii\", \"latin_name\": \"Osmorhiza_claytonii\"}, {\"common_name\": \"Wintergreen  \", \"irma_id\": \"0017099\", \"latin_name_ref\": \"Gaultheria procumbens\", \"latin_name\": \"Gaultheria_procumbens\"}, {\"common_name\": \"Downy Woodpecker\", \"irma_id\": \"0031336\", \"latin_name_ref\": \"Picoides pubescens\", \"latin_name\": \"Picoides_pubescens\"}, {\"common_name\": \"Green Frog\", \"irma_id\": \"0023064\", \"latin_name_ref\": \"Lithobates clamitans\", \"latin_name\": \"Lithobates_clamitans\"}, {\"common_name\": \"Northern Ringneck Snake\", \"irma_id\": \"0011981\", \"latin_name_ref\": \"Diadophis punctatus edwardsii\", \"latin_name\": \"Diadophis_punctatus_edwardsii\"}, {\"common_name\": \"Cope\\'S Gray Treefrog\", \"irma_id\": \"0020152\", \"latin_name_ref\": \"Hyla chrysoscelis\", \"latin_name\": \"Hyla_chrysoscelis\"}, {\"common_name\": \"Crested Dwarf Iris\", \"irma_id\": \"0019577\", \"latin_name_ref\": \"Iris cristata\", \"latin_name\": \"Iris_cristata\"}, {\"common_name\": \"Northern/Midland Brown Snake\", \"irma_id\": \"0037533\", \"latin_name_ref\": \"Storeria dekayi dekayiwrightorum\", \"latin_name\": \"Storeria_dekayi_dekayiwrightorum\"}, {\"common_name\": \"Blackburnian Warbler\", \"irma_id\": \"0036691\", \"latin_name_ref\": \"Setophaga fusca\", \"latin_name\": \"Setophaga_fusca\"}, {\"common_name\": \"Woodland Stonecrop\", \"irma_id\": \"0036236\", \"latin_name_ref\": \"Sedum ternatum\", \"latin_name\": \"Sedum_ternatum\"}, {\"common_name\": \"Chipping Sparrow\", \"irma_id\": \"0037969\", \"latin_name_ref\": \"Spizella passerina\", \"latin_name\": \"Spizella_passerina\"}, {\"common_name\": \"Confusing Retreat-Maker\", \"irma_id\": \"0011392\", \"latin_name_ref\": \"Diplectrona modesta\", \"latin_name\": \"Diplectrona_modesta\"}, {\"common_name\": \"Common Saddle-Case Maker\", \"irma_id\": \"0017342\", \"latin_name_ref\": \"Glossosoma nigrior\", \"latin_name\": \"Glossosoma_nigrior\"}, {\"common_name\": \"White Baneberry\", \"irma_id\": \"0000789\", \"latin_name_ref\": \"Actaea pachypoda\", \"latin_name\": \"Actaea_pachypoda\"}, {\"common_name\": \"Steelhead\", \"irma_id\": \"0027465\", \"latin_name_ref\": \"Oncorhynchus mykiss\", \"latin_name\": \"Oncorhynchus_mykiss\"}, {\"common_name\": \"Greenfin Darter\", \"irma_id\": \"0014970\", \"latin_name_ref\": \"Etheostoma chlorobranchium\", \"latin_name\": \"Etheostoma_chlorobranchium\"}, {\"common_name\": \"Pale Touch-Me-Not\", \"irma_id\": \"0020720\", \"latin_name_ref\": \"Impatiens pallida\", \"latin_name\": \"Impatiens_pallida\"}, {\"common_name\": \"Appalachian White Snakeroot\", \"irma_id\": \"0000986\", \"latin_name_ref\": \"Ageratina altissima v roanensis\", \"latin_name\": \"Ageratina_altissima_v_roanensis\"}, {\"common_name\": \"Hooked Buttercup \", \"irma_id\": \"0034506\", \"latin_name_ref\": \"Ranunculus recurvatus\", \"latin_name\": \"Ranunculus_recurvatus\"}, {\"common_name\": \"Chaste Flat-Headed Mayfly\", \"irma_id\": \"0023633\", \"latin_name_ref\": \"Maccaffertium pudicum\", \"latin_name\": \"Maccaffertium_pudicum\"}, {\"common_name\": \"Thyme-Leaf Bluet\", \"irma_id\": \"0019363\", \"latin_name_ref\": \"Houstonia serpyllifolia\", \"latin_name\": \"Houstonia_serpyllifolia\"}, {\"common_name\": \"Narrowleaf Cowwheat\", \"irma_id\": \"0024049\", \"latin_name_ref\": \"Melampyrum lineare v latifolium\", \"latin_name\": \"Melampyrum_lineare_v_latifolium\"}, {\"common_name\": \"Smooth Carrion-Flower\", \"irma_id\": \"0037282\", \"latin_name_ref\": \"Smilax herbacea\", \"latin_name\": \"Smilax_herbacea\"}, {\"common_name\": \"Poverty Wild Oat\", \"irma_id\": \"0011583\", \"latin_name_ref\": \"Danthonia spicata\", \"latin_name\": \"Danthonia_spicata\"}, {\"common_name\": \"St. Johnswort\", \"irma_id\": \"0020318\", \"latin_name_ref\": \"Hypericum hypericoides\", \"latin_name\": \"Hypericum_hypericoides\"}, {\"common_name\": \"Diverse Little Caddis\", \"irma_id\": \"0023573\", \"latin_name_ref\": \"Lype diversa\", \"latin_name\": \"Lype_diversa\"}, {\"common_name\": \"Brown Creeper\", \"irma_id\": \"0007906\", \"latin_name_ref\": \"Certhia americana\", \"latin_name\": \"Certhia_americana\"}, {\"common_name\": \"Pipevine\", \"irma_id\": \"0003863\", \"latin_name_ref\": \"Aristolochia macrophylla\", \"latin_name\": \"Aristolochia_macrophylla\"}, {\"common_name\": \"Allegheny Hawkweed\", \"irma_id\": \"0017786\", \"latin_name_ref\": \"Hieracium paniculatum\", \"latin_name\": \"Hieracium_paniculatum\"}, {\"common_name\": \"Umbrella Magnolia\", \"irma_id\": \"0023802\", \"latin_name_ref\": \"Magnolia tripetala\", \"latin_name\": \"Magnolia_tripetala\"}, {\"common_name\": \"Eastern Hop-Hornbeam\", \"irma_id\": \"0028149\", \"latin_name_ref\": \"Ostrya virginiana\", \"latin_name\": \"Ostrya_virginiana\"}, {\"common_name\": \"Wood Betony \", \"irma_id\": \"0029480\", \"latin_name_ref\": \"Pedicularis canadensis\", \"latin_name\": \"Pedicularis_canadensis\"}, {\"common_name\": \"Allegheny Blackberry\", \"irma_id\": \"0035418\", \"latin_name_ref\": \"Rubus allegheniensis\", \"latin_name\": \"Rubus_allegheniensis\"}, {\"common_name\": \"Golden-Crowned Kinglet\", \"irma_id\": \"0034547\", \"latin_name_ref\": \"Regulus satrapa\", \"latin_name\": \"Regulus_satrapa\"}, {\"common_name\": \"Purple Bedstraw\", \"irma_id\": \"0017020\", \"latin_name_ref\": \"Galium latifolium\", \"latin_name\": \"Galium_latifolium\"}, {\"common_name\": \"Common Blue Violet\", \"irma_id\": \"0042347\", \"latin_name_ref\": \"Viola sororia variety\", \"latin_name\": \"Viola_sororia_variety\"}, {\"common_name\": \"Black-Capped Chickadee\", \"irma_id\": \"0031945\", \"latin_name_ref\": \"Poecile atricapillus\", \"latin_name\": \"Poecile_atricapillus\"}, {\"common_name\": \"Purple-Node Joe-Pye-Weed\", \"irma_id\": \"0015973\", \"latin_name_ref\": \"Eutrochium purpureum v pupureum\", \"latin_name\": \"Eutrochium_purpureum_v_pupureum\"}, {\"common_name\": \"Pennsylvania Sedge\", \"irma_id\": \"0007061\", \"latin_name_ref\": \"Carex pensylvanica\", \"latin_name\": \"Carex_pensylvanica\"}, {\"common_name\": \"Flattened Wild Oat\", \"irma_id\": \"0011580\", \"latin_name_ref\": \"Danthonia compressa\", \"latin_name\": \"Danthonia_compressa\"}, {\"common_name\": \"White Bergamot\", \"irma_id\": \"0025563\", \"latin_name_ref\": \"Monarda clinopodia\", \"latin_name\": \"Monarda_clinopodia\"}, {\"common_name\": \"Eastern Red-Cedar\", \"irma_id\": \"0021182\", \"latin_name_ref\": \"Juniperus virginiana v virginiana\", \"latin_name\": \"Juniperus_virginiana_v_virginiana\"}, {\"common_name\": \"Pale Indian-Plantain\", \"irma_id\": \"0003931\", \"latin_name_ref\": \"Arnoglossum atriplicifolium\", \"latin_name\": \"Arnoglossum_atriplicifolium\"}, {\"common_name\": \"Frost Grape\", \"irma_id\": \"0042387\", \"latin_name_ref\": \"Vitis vulpina\", \"latin_name\": \"Vitis_vulpina\"}, {\"common_name\": \"Virginia Knotweed \", \"irma_id\": \"0032113\", \"latin_name_ref\": \"Polygonum virginianum\", \"latin_name\": \"Polygonum_virginianum\"}, {\"common_name\": \"Lanceleaf Wild Licorice\", \"irma_id\": \"0017019\", \"latin_name_ref\": \"Galium lanceolatum\", \"latin_name\": \"Galium_lanceolatum\"}, {\"common_name\": \"Mourning Dove\", \"irma_id\": \"0041807\", \"latin_name_ref\": \"Zenaida macroura\", \"latin_name\": \"Zenaida_macroura\"}, {\"common_name\": \"Northern Water Snake\", \"irma_id\": \"0026549\", \"latin_name_ref\": \"Nerodia sipedon sipedon\", \"latin_name\": \"Nerodia_sipedon_sipedon\"}, {\"common_name\": \"Appalachian Brook Crayfish\", \"irma_id\": \"0005196\", \"latin_name_ref\": \"Cambarus Cambarus bartonii\", \"latin_name\": \"Cambarus_Cambarus_bartonii\"}, {\"common_name\": \"Pale Stripetail\", \"irma_id\": \"0019654\", \"latin_name_ref\": \"Isoperla holochlora\", \"latin_name\": \"Isoperla_holochlora\"}, {\"common_name\": \"Yellowlined Caterpillar\", \"irma_id\": \"0024699\", \"latin_name_ref\": \"Nadata gibbosa\", \"latin_name\": \"Nadata_gibbosa\"}, {\"common_name\": \"Canada Warbler\", \"irma_id\": \"0006536\", \"latin_name_ref\": \"Cardellina canadensis\", \"latin_name\": \"Cardellina_canadensis\"}, {\"common_name\": \"Winter Wren\", \"irma_id\": \"0041339\", \"latin_name_ref\": \"Troglodytes hiemalis\", \"latin_name\": \"Troglodytes_hiemalis\"}, {\"common_name\": \"Button-Hemp  \", \"irma_id\": \"0004950\", \"latin_name_ref\": \"Boehmeria cylindrica\", \"latin_name\": \"Boehmeria_cylindrica\"}, {\"common_name\": \"White Edge Sedge\", \"irma_id\": \"0006757\", \"latin_name_ref\": \"Carex debilis variety\", \"latin_name\": \"Carex_debilis_variety\"}, {\"common_name\": \"Rock Bass\", \"irma_id\": \"0001703\", \"latin_name_ref\": \"Ambloplites rupestris\", \"latin_name\": \"Ambloplites_rupestris\"}, {\"common_name\": \"Pin Cherry \", \"irma_id\": \"0033007\", \"latin_name_ref\": \"Prunus pensylvanica\", \"latin_name\": \"Prunus_pensylvanica\"}, {\"common_name\": \"Scarlet Beebalm\", \"irma_id\": \"0025564\", \"latin_name_ref\": \"Monarda didyma\", \"latin_name\": \"Monarda_didyma\"}, {\"common_name\": \"Ruby-Throated Hummingbird\", \"irma_id\": \"0003585\", \"latin_name_ref\": \"Archilochus colubris\", \"latin_name\": \"Archilochus_colubris\"}, {\"common_name\": \"Yellow-Throated Vireo\", \"irma_id\": \"0042362\", \"latin_name_ref\": \"Vireo flavifrons\", \"latin_name\": \"Vireo_flavifrons\"}, {\"common_name\": \"Pearl Crescent\", \"irma_id\": \"0030784\", \"latin_name_ref\": \"Phyciodes tharos\", \"latin_name\": \"Phyciodes_tharos\"}, {\"common_name\": \"Early Blue Violet\", \"irma_id\": \"0042327\", \"latin_name_ref\": \"Viola palmata\", \"latin_name\": \"Viola_palmata\"}, {\"common_name\": \"Northern Cardinal\", \"irma_id\": \"0006538\", \"latin_name_ref\": \"Cardinalis cardinalis\", \"latin_name\": \"Cardinalis_cardinalis\"}, {\"common_name\": \"Water Penny Beetle\", \"irma_id\": \"0033384\", \"latin_name_ref\": \"Psephenus herricki\", \"latin_name\": \"Psephenus_herricki\"}, {\"common_name\": \"Early Meadow-Rue\", \"irma_id\": \"0039929\", \"latin_name_ref\": \"Thalictrum dioicum\", \"latin_name\": \"Thalictrum_dioicum\"}, {\"common_name\": \"Ebony Jewelwing\", \"irma_id\": \"0006285\", \"latin_name_ref\": \"Calopteryx maculata\", \"latin_name\": \"Calopteryx_maculata\"}, {\"common_name\": \"Mountain Maple\", \"irma_id\": \"0000343\", \"latin_name_ref\": \"Acer spicatum\", \"latin_name\": \"Acer_spicatum\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0030039\", \"latin_name_ref\": \"Phagocata morgani morgani\", \"latin_name\": \"Phagocata_morgani_morgani\"}, {\"common_name\": \"Lopseed\", \"irma_id\": \"0029446\", \"latin_name_ref\": \"Phryma leptostachya\", \"latin_name\": \"Phryma_leptostachya\"}, {\"common_name\": \"Zigzag Goldenrod\", \"irma_id\": \"0037376\", \"latin_name_ref\": \"Solidago flexicaulis\", \"latin_name\": \"Solidago_flexicaulis\"}, {\"common_name\": \"Wood Frog\", \"irma_id\": \"0023068\", \"latin_name_ref\": \"Lithobates sylvaticus\", \"latin_name\": \"Lithobates_sylvaticus\"}, {\"common_name\": \"Broad-Winged Hawk\", \"irma_id\": \"0005926\", \"latin_name_ref\": \"Buteo platypterus\", \"latin_name\": \"Buteo_platypterus\"}, {\"common_name\": \"Rat Snake\", \"irma_id\": \"0013337\", \"latin_name_ref\": \"Elaphe obsoleta obsoleta\", \"latin_name\": \"Elaphe_obsoleta_obsoleta\"}, {\"common_name\": \"Yellow-Striped Small Minnow Mayfly\", \"irma_id\": \"0003437\", \"latin_name_ref\": \"Baetis flavistriga\", \"latin_name\": \"Baetis_flavistriga\"}, {\"common_name\": \"Cedar Waxwing\", \"irma_id\": \"0005137\", \"latin_name_ref\": \"Bombycilla cedrorum\", \"latin_name\": \"Bombycilla_cedrorum\"}, {\"common_name\": \"Largescale Stoneroller\", \"irma_id\": \"0005306\", \"latin_name_ref\": \"Campostoma oligolepis\", \"latin_name\": \"Campostoma_oligolepis\"}, {\"common_name\": \"Carolina Free Living Caddis\", \"irma_id\": \"0035159\", \"latin_name_ref\": \"Rhyacophila carolina\", \"latin_name\": \"Rhyacophila_carolina\"}, {\"common_name\": \"Banded Tussock Moth\", \"irma_id\": \"0018283\", \"latin_name_ref\": \"Halysidota tessellaris\", \"latin_name\": \"Halysidota_tessellaris\"}, {\"common_name\": \"Eastern Tiger Swallowtail\", \"irma_id\": \"0028683\", \"latin_name_ref\": \"Papilio glaucus\", \"latin_name\": \"Papilio_glaucus\"}, {\"common_name\": \"Mottled Sculpin\", \"irma_id\": \"0010370\", \"latin_name_ref\": \"Cottus bairdi\", \"latin_name\": \"Cottus_bairdi\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0032116\", \"latin_name_ref\": \"Polygrammate hebraeicum\", \"latin_name\": \"Polygrammate_hebraeicum\"}, {\"common_name\": \"Wild Turkey\", \"irma_id\": \"0024164\", \"latin_name_ref\": \"Meleagris gallopavo\", \"latin_name\": \"Meleagris_gallopavo\"}, {\"common_name\": \"Three-Tailed Small Minnow Mayfly\", \"irma_id\": \"0003462\", \"latin_name_ref\": \"Baetis tricaudatus\", \"latin_name\": \"Baetis_tricaudatus\"}, {\"common_name\": \"Mitchell`S Dogfaced Caddis\", \"irma_id\": \"0026371\", \"latin_name_ref\": \"Neophylax mitchelli\", \"latin_name\": \"Neophylax_mitchelli\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0014655\", \"latin_name_ref\": \"Euplexia benesimilis\", \"latin_name\": \"Euplexia_benesimilis\"}, {\"common_name\": \"Common Dogfaced Caddis\", \"irma_id\": \"0026368\", \"latin_name_ref\": \"Neophylax consimilis\", \"latin_name\": \"Neophylax_consimilis\"}, {\"common_name\": \"American Squawroot \", \"irma_id\": \"0009720\", \"latin_name_ref\": \"Conopholis americana\", \"latin_name\": \"Conopholis_americana\"}, {\"common_name\": \"Longnose Dace\", \"irma_id\": \"0034940\", \"latin_name_ref\": \"Rhinichthys cataractae\", \"latin_name\": \"Rhinichthys_cataractae\"}, {\"common_name\": \"Silver-Spotted Skipper\", \"irma_id\": \"0013910\", \"latin_name_ref\": \"Epargyreus clarus\", \"latin_name\": \"Epargyreus_clarus\"}, {\"common_name\": \"Red Mulberry\", \"irma_id\": \"0024403\", \"latin_name_ref\": \"Morus rubra\", \"latin_name\": \"Morus_rubra\"}, {\"common_name\": \"Unequal Flat-Headed Mayfly\", \"irma_id\": \"0013918\", \"latin_name_ref\": \"Epeorus dispar\", \"latin_name\": \"Epeorus_dispar\"}, {\"common_name\": \"Southern Pygmy Clubtail\", \"irma_id\": \"0021688\", \"latin_name_ref\": \"Lanthus vernalis\", \"latin_name\": \"Lanthus_vernalis\"}, {\"common_name\": \"American Elm\", \"irma_id\": \"0041635\", \"latin_name_ref\": \"Ulmus americana\", \"latin_name\": \"Ulmus_americana\"}, {\"common_name\": \"Tuberculate Spiny Crawler Mayfly\", \"irma_id\": \"0012992\", \"latin_name_ref\": \"Drunella tuberculata\", \"latin_name\": \"Drunella_tuberculata\"}, {\"common_name\": \"Cut-Leaf Grape-Fern\", \"irma_id\": \"0005462\", \"latin_name_ref\": \"Botrychium dissectum variety\", \"latin_name\": \"Botrychium_dissectum_variety\"}, {\"common_name\": \"White Bluebead-Lily\", \"irma_id\": \"0009086\", \"latin_name_ref\": \"Clintonia umbellulata\", \"latin_name\": \"Clintonia_umbellulata\"}, {\"common_name\": \"Tall Rattlesnake-Root\", \"irma_id\": \"0032551\", \"latin_name_ref\": \"Prenanthes altissima\", \"latin_name\": \"Prenanthes_altissima\"}, {\"common_name\": \"Eastern Blacknose Dace\", \"irma_id\": \"0034939\", \"latin_name_ref\": \"Rhinichthys atratulus\", \"latin_name\": \"Rhinichthys_atratulus\"}, {\"common_name\": \"Rhomboid Eunotia Diatom\", \"irma_id\": \"0015617\", \"latin_name_ref\": \"Eunotia rhomboidea\", \"latin_name\": \"Eunotia_rhomboidea\"}, {\"common_name\": \"Southern Mountain-Cranberry\", \"irma_id\": \"0042015\", \"latin_name_ref\": \"Vaccinium erythrocarpum\", \"latin_name\": \"Vaccinium_erythrocarpum\"}, {\"common_name\": \"Hobblebush\", \"irma_id\": \"0042274\", \"latin_name_ref\": \"Viburnum lantanoides\", \"latin_name\": \"Viburnum_lantanoides\"}, {\"common_name\": \"River Birch\", \"irma_id\": \"0004769\", \"latin_name_ref\": \"Betula nigra\", \"latin_name\": \"Betula_nigra\"}, {\"common_name\": \"Wood-Sorrel  \", \"irma_id\": \"0028172\", \"latin_name_ref\": \"Oxalis montana\", \"latin_name\": \"Oxalis_montana\"}, {\"common_name\": \"Honey-Locust\", \"irma_id\": \"0017253\", \"latin_name_ref\": \"Gleditsia triacanthos\", \"latin_name\": \"Gleditsia_triacanthos\"}, {\"common_name\": \"Green-Head Coneflower\", \"irma_id\": \"0035444\", \"latin_name_ref\": \"Rudbeckia laciniata v humilis\", \"latin_name\": \"Rudbeckia_laciniata_v_humilis\"}, {\"common_name\": \"Beechdrops\", \"irma_id\": \"0014105\", \"latin_name_ref\": \"Epifagus virginiana\", \"latin_name\": \"Epifagus_virginiana\"}, {\"common_name\": \"Shag-Bark Hickory\", \"irma_id\": \"0007197\", \"latin_name_ref\": \"Carya ovata\", \"latin_name\": \"Carya_ovata\"}, {\"common_name\": \"Black-Chinned Red Salamander\", \"irma_id\": \"0033740\", \"latin_name_ref\": \"Pseudotriton ruber\", \"latin_name\": \"Pseudotriton_ruber\"}, {\"common_name\": \"Spring Salamander\", \"irma_id\": \"0018028\", \"latin_name_ref\": \"Gyrinophilus porphyriticus\", \"latin_name\": \"Gyrinophilus_porphyriticus\"}, {\"common_name\": \"Crossed Tail Armored Caddis\", \"irma_id\": \"0017548\", \"latin_name_ref\": \"Goera calcarata\", \"latin_name\": \"Goera_calcarata\"}, {\"common_name\": \"Wood Anemone \", \"irma_id\": \"0002263\", \"latin_name_ref\": \"Anemone quinquefolia\", \"latin_name\": \"Anemone_quinquefolia\"}, {\"common_name\": \"American Alumroot\", \"irma_id\": \"0017713\", \"latin_name_ref\": \"Heuchera americana\", \"latin_name\": \"Heuchera_americana\"}, {\"common_name\": \"Mountain Retreat-Maker\", \"irma_id\": \"0028920\", \"latin_name_ref\": \"Parapsyche cardis\", \"latin_name\": \"Parapsyche_cardis\"}, {\"common_name\": \"Serrate Fishfly\", \"irma_id\": \"0026636\", \"latin_name_ref\": \"Nigronia serricornis\", \"latin_name\": \"Nigronia_serricornis\"}, {\"common_name\": \"Mournful Finger-Net Caddis\", \"irma_id\": \"0042563\", \"latin_name_ref\": \"Wormaldia moesta\", \"latin_name\": \"Wormaldia_moesta\"}, {\"common_name\": \"Yellow Crownbeard\", \"irma_id\": \"0042152\", \"latin_name_ref\": \"Verbesina occidentalis\", \"latin_name\": \"Verbesina_occidentalis\"}, {\"common_name\": \"Maple Prominent\", \"irma_id\": \"0017652\", \"latin_name_ref\": \"Heterocampa guttivitta\", \"latin_name\": \"Heterocampa_guttivitta\"}, {\"common_name\": \"Atlantic Goldenrod\", \"irma_id\": \"0037364\", \"latin_name_ref\": \"Solidago arguta variety\", \"latin_name\": \"Solidago_arguta_variety\"}, {\"common_name\": \"Thin-Leaf Mountain-Mint\", \"irma_id\": \"0034114\", \"latin_name_ref\": \"Pycnanthemum montanum\", \"latin_name\": \"Pycnanthemum_montanum\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0039041\", \"latin_name_ref\": \"Symmerista albifrons\", \"latin_name\": \"Symmerista_albifrons\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0028505\", \"latin_name_ref\": \"Pangrapta decoralis\", \"latin_name\": \"Pangrapta_decoralis\"}, {\"common_name\": \"Lesser Smooth Free Living Caddis\", \"irma_id\": \"0035166\", \"latin_name_ref\": \"Rhyacophila glaberrima\", \"latin_name\": \"Rhyacophila_glaberrima\"}, {\"common_name\": \"Flatworm\", \"irma_id\": \"0005460\", \"latin_name_ref\": \"Botrychium dissectum v dissectum\", \"latin_name\": \"Botrychium_dissectum_v_dissectum\"}, {\"common_name\": \"American Dagger Moth\", \"irma_id\": \"0000700\", \"latin_name_ref\": \"Acronicta americana\", \"latin_name\": \"Acronicta_americana\"}, {\"common_name\": \"Morning-Glory Prominent\", \"irma_id\": \"0035813\", \"latin_name_ref\": \"Schizura ipomoeae\", \"latin_name\": \"Schizura_ipomoeae\"}, {\"common_name\": \"Pipevine Swallowtail\", \"irma_id\": \"0004661\", \"latin_name_ref\": \"Battus philenor\", \"latin_name\": \"Battus_philenor\"}, {\"common_name\": \"Hairy Bush-Clover\", \"irma_id\": \"0022343\", \"latin_name_ref\": \"Lespedeza hirta\", \"latin_name\": \"Lespedeza_hirta\"}, {\"common_name\": \"Catawba Spiny Crawler Mayfly\", \"irma_id\": \"0013998\", \"latin_name_ref\": \"Ephemerella catawba\", \"latin_name\": \"Ephemerella_catawba\"}, {\"common_name\": \"Black Free Living Caddis\", \"irma_id\": \"0035178\", \"latin_name_ref\": \"Rhyacophila nigrita\", \"latin_name\": \"Rhyacophila_nigrita\"}, {\"common_name\": \"Wataga Small Mark Caddis\", \"irma_id\": \"0025120\", \"latin_name_ref\": \"Micrasema wataga\", \"latin_name\": \"Micrasema_wataga\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0015428\", \"latin_name_ref\": \"Eudryas grata\", \"latin_name\": \"Eudryas_grata\"}, {\"common_name\": \"Painted Lichen Moth \", \"irma_id\": \"0020484\", \"latin_name_ref\": \"Hypoprepia fucosa\", \"latin_name\": \"Hypoprepia_fucosa\"}, {\"common_name\": \"Agreeable Tiger Moth \", \"irma_id\": \"0037877\", \"latin_name_ref\": \"Spilosoma congrua\", \"latin_name\": \"Spilosoma_congrua\"}, {\"common_name\": \"Yellow Stone\", \"irma_id\": \"0013144\", \"latin_name_ref\": \"Eccoptura xanthenes\", \"latin_name\": \"Eccoptura_xanthenes\"}, {\"common_name\": \"Tormented Spiny Crawler  Mayfly\", \"irma_id\": \"0014006\", \"latin_name_ref\": \"Ephemerella excrucians\", \"latin_name\": \"Ephemerella_excrucians\"}, {\"common_name\": \"Lesser Small Minnow Mayfly\", \"irma_id\": \"0003441\", \"latin_name_ref\": \"Baetis intercalaris\", \"latin_name\": \"Baetis_intercalaris\"}, {\"common_name\": \"Broad Shoulder Water Bug\", \"irma_id\": \"0034856\", \"latin_name_ref\": \"Rhagovelia obesa\", \"latin_name\": \"Rhagovelia_obesa\"}, {\"common_name\": \"Lash Springfly\", \"irma_id\": \"0034752\", \"latin_name_ref\": \"Remenus bilobatus\", \"latin_name\": \"Remenus_bilobatus\"}, {\"common_name\": \"Giant Cane\", \"irma_id\": \"0004041\", \"latin_name_ref\": \"Arundinaria gigantea gigantea\", \"latin_name\": \"Arundinaria_gigantea_gigantea\"}, {\"common_name\": \"American Redstart\", \"irma_id\": \"0036697\", \"latin_name_ref\": \"Setophaga ruticilla\", \"latin_name\": \"Setophaga_ruticilla\"}, {\"common_name\": \"Spiked Forestfly\", \"irma_id\": \"0001890\", \"latin_name_ref\": \"Amphinemura wui\", \"latin_name\": \"Amphinemura_wui\"}, {\"common_name\": \"Brook Springfly\", \"irma_id\": \"0023823\", \"latin_name_ref\": \"Malirekus hastatus\", \"latin_name\": \"Malirekus_hastatus\"}, {\"common_name\": \"River Fly\", \"irma_id\": \"0004298\", \"latin_name_ref\": \"Atherix lantha\", \"latin_name\": \"Atherix_lantha\"}, {\"common_name\": \"Southern Sturdy Burrower\", \"irma_id\": \"0033782\", \"latin_name_ref\": \"Psilotreta frontalis\", \"latin_name\": \"Psilotreta_frontalis\"}, {\"common_name\": \"Slosson`S Retreat-Maker\", \"irma_id\": \"0019952\", \"latin_name_ref\": \"Hydropsyche slossonae\", \"latin_name\": \"Hydropsyche_slossonae\"}, {\"common_name\": \"Common Little Caddis\", \"irma_id\": \"0033819\", \"latin_name_ref\": \"Psychomyia flavida\", \"latin_name\": \"Psychomyia_flavida\"}, {\"common_name\": \"Pale Flat-Headed Mayfly\", \"irma_id\": \"0038017\", \"latin_name_ref\": \"Stenacron pallidum\", \"latin_name\": \"Stenacron_pallidum\"}, {\"common_name\": \"Non-Biting Midge\", \"irma_id\": \"0041484\", \"latin_name_ref\": \"Tvetenia bavarica group\", \"latin_name\": \"Tvetenia_bavarica_group\"}, {\"common_name\": \"Silky Dogwood\", \"irma_id\": \"0010100\", \"latin_name_ref\": \"Cornus amomum\", \"latin_name\": \"Cornus_amomum\"}, {\"common_name\": \"Gray Catbird\", \"irma_id\": \"0013051\", \"latin_name_ref\": \"Dumetella carolinensis\", \"latin_name\": \"Dumetella_carolinensis\"}, {\"common_name\": \"Brown Trout\", \"irma_id\": \"0033173\", \"latin_name_ref\": \"Salmo trutta\", \"latin_name\": \"Salmo_trutta\"}, {\"common_name\": \"Western Black-Nosed Dace\", \"irma_id\": \"0034941\", \"latin_name_ref\": \"Rhinichthys obtusus\", \"latin_name\": \"Rhinichthys_obtusus\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0020646\", \"latin_name_ref\": \"Idia americalis\", \"latin_name\": \"Idia_americalis\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0020658\", \"latin_name_ref\": \"Idia rotundalis\", \"latin_name\": \"Idia_rotundalis\"}, {\"common_name\": \"Japanese Honeysuckle\", \"irma_id\": \"0023223\", \"latin_name_ref\": \"Lonicera japonica\", \"latin_name\": \"Lonicera_japonica\"}, {\"common_name\": \"Subequal Flat-Headed Mayfly\", \"irma_id\": \"0008760\", \"latin_name_ref\": \"Cinygmula subaequalis\", \"latin_name\": \"Cinygmula_subaequalis\"}, {\"common_name\": \"Tiger Spiketail\", \"irma_id\": \"0010049\", \"latin_name_ref\": \"Cordulegaster erronea\", \"latin_name\": \"Cordulegaster_erronea\"}, {\"common_name\": \"Mountain Delicate Burrower\", \"irma_id\": \"0016540\", \"latin_name_ref\": \"Fattigia pele\", \"latin_name\": \"Fattigia_pele\"}, {\"common_name\": \"Red Spruce\", \"irma_id\": \"0031330\", \"latin_name_ref\": \"Picea rubens\", \"latin_name\": \"Picea_rubens\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0035947\", \"latin_name_ref\": \"Scolecocampa liburna\", \"latin_name\": \"Scolecocampa_liburna\"}, {\"common_name\": \"Modest Flat-Headed Mayfly\", \"irma_id\": \"0023632\", \"latin_name_ref\": \"Maccaffertium modestum\", \"latin_name\": \"Maccaffertium_modestum\"}, {\"common_name\": \"Lundbeck`S Non-Biting Midge\", \"irma_id\": \"0028842\", \"latin_name_ref\": \"Parametriocnemus lundbeckii\", \"latin_name\": \"Parametriocnemus_lundbeckii\"}, {\"common_name\": \"Blueridge Stone\", \"irma_id\": \"0029846\", \"latin_name_ref\": \"Perlesta frisoni\", \"latin_name\": \"Perlesta_frisoni\"}, {\"common_name\": \"Pitiless Free Living Caddis\", \"irma_id\": \"0035186\", \"latin_name_ref\": \"Rhyacophila torva\", \"latin_name\": \"Rhyacophila_torva\"}, {\"common_name\": \"Ruffed Grouse\", \"irma_id\": \"0005167\", \"latin_name_ref\": \"Bonasa umbellus\", \"latin_name\": \"Bonasa_umbellus\"}, {\"common_name\": \"Post Oak\", \"irma_id\": \"0034386\", \"latin_name_ref\": \"Quercus stellata\", \"latin_name\": \"Quercus_stellata\"}, {\"common_name\": \"Slender Woodland Sedge\", \"irma_id\": \"0006758\", \"latin_name_ref\": \"Carex digitalis v digitalis\", \"latin_name\": \"Carex_digitalis_v_digitalis\"}, {\"common_name\": \"Creek Chub\", \"irma_id\": \"0036399\", \"latin_name_ref\": \"Semotilus atromaculatus\", \"latin_name\": \"Semotilus_atromaculatus\"}, {\"common_name\": \"Little Pronggill Mayfly\", \"irma_id\": \"0018158\", \"latin_name_ref\": \"Habrophlebia vibrans\", \"latin_name\": \"Habrophlebia_vibrans\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0028822\", \"latin_name_ref\": \"Parallelia bistriaris\", \"latin_name\": \"Parallelia_bistriaris\"}, {\"common_name\": \"Eastern Phoebe\", \"irma_id\": \"0035651\", \"latin_name_ref\": \"Sayornis phoebe\", \"latin_name\": \"Sayornis_phoebe\"}, {\"common_name\": \"Canada Goldenrod\", \"irma_id\": \"0037360\", \"latin_name_ref\": \"Solidago altissima v altissima\", \"latin_name\": \"Solidago_altissima_v_altissima\"}, {\"common_name\": \"Saffron Shiner\", \"irma_id\": \"0026872\", \"latin_name_ref\": \"Notropis rubricroceus\", \"latin_name\": \"Notropis_rubricroceus\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0015658\", \"latin_name_ref\": \"Euparthenos nubilis\", \"latin_name\": \"Euparthenos_nubilis\"}, {\"common_name\": \"Common Waterstrider\", \"irma_id\": \"0003130\", \"latin_name_ref\": \"Aquarius remigis\", \"latin_name\": \"Aquarius_remigis\"}, {\"common_name\": \"Carolina Flat-Headed Mayfly\", \"irma_id\": \"0038012\", \"latin_name_ref\": \"Stenacron carolina\", \"latin_name\": \"Stenacron_carolina\"}, {\"common_name\": \"Fraser Fir\", \"irma_id\": \"0000214\", \"latin_name_ref\": \"Abies fraseri\", \"latin_name\": \"Abies_fraseri\"}, {\"common_name\": \"Panicled-Leaf Tick-Trefoil\", \"irma_id\": \"0011906\", \"latin_name_ref\": \"Desmodium paniculatum v paniculatum\", \"latin_name\": \"Desmodium_paniculatum_v_paniculatum\"}, {\"common_name\": \"Fire-Pink\", \"irma_id\": \"0037000\", \"latin_name_ref\": \"Silene virginica\", \"latin_name\": \"Silene_virginica\"}, {\"common_name\": \"Irrorate Retreat-Maker\", \"irma_id\": \"0003632\", \"latin_name_ref\": \"Arctopsyche irrorata\", \"latin_name\": \"Arctopsyche_irrorata\"}, {\"common_name\": \"Box-Elder  \", \"irma_id\": \"0000330\", \"latin_name_ref\": \"Acer negundo\", \"latin_name\": \"Acer_negundo\"}, {\"common_name\": \"Yellow Birch\", \"irma_id\": \"0004764\", \"latin_name_ref\": \"Betula alleghaniensis v alleghaniensis\", \"latin_name\": \"Betula_alleghaniensis_v_alleghaniensis\"}, {\"common_name\": \"Fawn Darner\", \"irma_id\": \"0005496\", \"latin_name_ref\": \"Boyeria vinosa\", \"latin_name\": \"Boyeria_vinosa\"}, {\"common_name\": \"Eastern Least Clubtail\", \"irma_id\": \"0038904\", \"latin_name_ref\": \"Stylogomphus albistylus\", \"latin_name\": \"Stylogomphus_albistylus\"}, {\"common_name\": \"American Robin\", \"irma_id\": \"0041473\", \"latin_name_ref\": \"Turdus migratorius\", \"latin_name\": \"Turdus_migratorius\"}, {\"common_name\": \"American Mountain-Ash\", \"irma_id\": \"0037447\", \"latin_name_ref\": \"Sorbus americana\", \"latin_name\": \"Sorbus_americana\"}, {\"common_name\": \"Longtail Salamander\", \"irma_id\": \"0014739\", \"latin_name_ref\": \"Eurycea longicauda\", \"latin_name\": \"Eurycea_longicauda\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0031998\", \"latin_name_ref\": \"Polia detracta\", \"latin_name\": \"Polia_detracta\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0042743\", \"latin_name_ref\": \"Xestia dolosa\", \"latin_name\": \"Xestia_dolosa\"}, {\"common_name\": \"Black Willow\", \"irma_id\": \"0033170\", \"latin_name_ref\": \"Salix nigra\", \"latin_name\": \"Salix_nigra\"}, {\"common_name\": \"Meadow-Parsnip\", \"irma_id\": \"0038612\", \"latin_name_ref\": \"Thaspium trifoliatum variety\", \"latin_name\": \"Thaspium_trifoliatum_variety\"}, {\"common_name\": \"Little White Lichen Moth \", \"irma_id\": \"0009033\", \"latin_name_ref\": \"Clemensia albata\", \"latin_name\": \"Clemensia_albata\"}, {\"common_name\": \"Wavy-Lined Heterocampa \", \"irma_id\": \"0017649\", \"latin_name_ref\": \"Heterocampa biundata\", \"latin_name\": \"Heterocampa_biundata\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0023782\", \"latin_name_ref\": \"Macrurocampa marthesia\", \"latin_name\": \"Macrurocampa_marthesia\"}, {\"common_name\": \"Mountain Millstone\", \"irma_id\": \"0025486\", \"latin_name_ref\": \"Molanna blenda\", \"latin_name\": \"Molanna_blenda\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0027737\", \"latin_name_ref\": \"Orgyia definita\", \"latin_name\": \"Orgyia_definita\"}, {\"common_name\": \"Rearhumped Caterpillar\", \"irma_id\": \"0001905\", \"latin_name_ref\": \"Amphipyra pyramidoides\", \"latin_name\": \"Amphipyra_pyramidoides\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0031754\", \"latin_name_ref\": \"Plathypena scabra\", \"latin_name\": \"Plathypena_scabra\"}, {\"common_name\": \"Wingstem\", \"irma_id\": \"0042151\", \"latin_name_ref\": \"Verbesina alternifolia\", \"latin_name\": \"Verbesina_alternifolia\"}, {\"common_name\": \"Swan\\\\u2019S Sedge\", \"irma_id\": \"0007083\", \"latin_name_ref\": \"Carex swanii\", \"latin_name\": \"Carex_swanii\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0018166\", \"latin_name_ref\": \"Habrosyne scripta\", \"latin_name\": \"Habrosyne_scripta\"}, {\"common_name\": \"Dragonhunter\", \"irma_id\": \"0018211\", \"latin_name_ref\": \"Hagenius brevistylus\", \"latin_name\": \"Hagenius_brevistylus\"}, {\"common_name\": \"Ashy Fingernet Caddis\", \"irma_id\": \"0032047\", \"latin_name_ref\": \"Polycentropus cinereus\", \"latin_name\": \"Polycentropus_cinereus\"}, {\"common_name\": \"False Underwing Moth\", \"irma_id\": \"0001488\", \"latin_name_ref\": \"Allotria elonympha\", \"latin_name\": \"Allotria_elonympha\"}, {\"common_name\": \"Eastern Tailed Blue\", \"irma_id\": \"0016195\", \"latin_name_ref\": \"Everes comyntas\", \"latin_name\": \"Everes_comyntas\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0028557\", \"latin_name_ref\": \"Panopoda rufimargo\", \"latin_name\": \"Panopoda_rufimargo\"}, {\"common_name\": \"Black-Bordered Lemon Moth\", \"irma_id\": \"0039945\", \"latin_name_ref\": \"Thioptera nigrofimbria\", \"latin_name\": \"Thioptera_nigrofimbria\"}, {\"common_name\": \"Five-Lined Skink\", \"irma_id\": \"0015537\", \"latin_name_ref\": \"Eumeces fasciatus\", \"latin_name\": \"Eumeces_fasciatus\"}, {\"common_name\": \"Filmy Angelica\", \"irma_id\": \"0002283\", \"latin_name_ref\": \"Angelica triquinata\", \"latin_name\": \"Angelica_triquinata\"}, {\"common_name\": \"Pagan Stickbait Caddis\", \"irma_id\": \"0034137\", \"latin_name_ref\": \"Pycnopsyche gentilis\", \"latin_name\": \"Pycnopsyche_gentilis\"}, {\"common_name\": \"Brainy Slime Mold\", \"irma_id\": \"0003658\", \"latin_name_ref\": \"Arcyria cinerea\", \"latin_name\": \"Arcyria_cinerea\"}, {\"common_name\": \"Orange Sulphur\", \"irma_id\": \"0008295\", \"latin_name_ref\": \"Colias eurytheme\", \"latin_name\": \"Colias_eurytheme\"}, {\"common_name\": \"Macleod`S Retreat-Maker\", \"irma_id\": \"0019941\", \"latin_name_ref\": \"Hydropsyche macleodi\", \"latin_name\": \"Hydropsyche_macleodi\"}, {\"common_name\": \"Ant\", \"irma_id\": \"0002845\", \"latin_name_ref\": \"Aphaenogaster rudis\", \"latin_name\": \"Aphaenogaster_rudis\"}, {\"common_name\": \"Deer Mouse\", \"irma_id\": \"0029882\", \"latin_name_ref\": \"Peromyscus maniculatus\", \"latin_name\": \"Peromyscus_maniculatus\"}, {\"common_name\": \"Intermediate Water Bear\", \"irma_id\": \"0025351\", \"latin_name_ref\": \"Minibiotus intermedius\", \"latin_name\": \"Minibiotus_intermedius\"}, {\"common_name\": \"Pallar`S Water Bear\", \"irma_id\": \"0023679\", \"latin_name_ref\": \"Macrobiotus pallarii\", \"latin_name\": \"Macrobiotus_pallarii\"}, {\"common_name\": \"Waterbear\", \"irma_id\": \"0033488\", \"latin_name_ref\": \"Pseudechiniscus suillus group\", \"latin_name\": \"Pseudechiniscus_suillus_group\"}, {\"common_name\": \"Ovate Dagger Moth\", \"irma_id\": \"0000749\", \"latin_name_ref\": \"Acronicta ovata\", \"latin_name\": \"Acronicta_ovata\"}, {\"common_name\": \"Spotted Apatelodes\", \"irma_id\": \"0002822\", \"latin_name_ref\": \"Apatelodes torrefacta\", \"latin_name\": \"Apatelodes_torrefacta\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0034754\", \"latin_name_ref\": \"Renia discoloralis\", \"latin_name\": \"Renia_discoloralis\"}, {\"common_name\": \"Unmarked Dagger Moth\", \"irma_id\": \"0000732\", \"latin_name_ref\": \"Acronicta innotata\", \"latin_name\": \"Acronicta_innotata\"}, {\"common_name\": \"Summer Azure\", \"irma_id\": \"0007506\", \"latin_name_ref\": \"Celastrina neglecta\", \"latin_name\": \"Celastrina_neglecta\"}, {\"common_name\": \"Fringed Looper\", \"irma_id\": \"0005273\", \"latin_name_ref\": \"Campaea perlata\", \"latin_name\": \"Campaea_perlata\"}, {\"common_name\": \"Rosy Maple Moth \", \"irma_id\": \"0013006\", \"latin_name_ref\": \"Dryocampa rubicunda\", \"latin_name\": \"Dryocampa_rubicunda\"}, {\"common_name\": \"Leconte`S Haploa\", \"irma_id\": \"0018325\", \"latin_name_ref\": \"Haploa lecontei\", \"latin_name\": \"Haploa_lecontei\"}, {\"common_name\": \"Masked Birch Caterpillar\", \"irma_id\": \"0012878\", \"latin_name_ref\": \"Drepana arcuata\", \"latin_name\": \"Drepana_arcuata\"}, {\"common_name\": \"Blunt-Leaf Waterleaf\", \"irma_id\": \"0019900\", \"latin_name_ref\": \"Hydrophyllum canadense\", \"latin_name\": \"Hydrophyllum_canadense\"}, {\"common_name\": \"Canadian Melanolophia\", \"irma_id\": \"0024094\", \"latin_name_ref\": \"Melanolophia canadaria\", \"latin_name\": \"Melanolophia_canadaria\"}, {\"common_name\": \"Scarlet-Winged Lichen Moth \", \"irma_id\": \"0020486\", \"latin_name_ref\": \"Hypoprepia miniata\", \"latin_name\": \"Hypoprepia_miniata\"}, {\"common_name\": \"Fir Harlequin\", \"irma_id\": \"0013358\", \"latin_name_ref\": \"Elaphria versicolor\", \"latin_name\": \"Elaphria_versicolor\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0033729\", \"latin_name_ref\": \"Pseudothyatira cymatophoroides\", \"latin_name\": \"Pseudothyatira_cymatophoroides\"}, {\"common_name\": \"Bowed Eunotia Diatom\", \"irma_id\": \"0015628\", \"latin_name_ref\": \"Eunotia subarcuatoides\", \"latin_name\": \"Eunotia_subarcuatoides\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0029753\", \"latin_name_ref\": \"Peridea angulosa\", \"latin_name\": \"Peridea_angulosa\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0028617\", \"latin_name_ref\": \"Paonias excaecatus\", \"latin_name\": \"Paonias_excaecatus\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0014125\", \"latin_name_ref\": \"Epimecis hortaria\", \"latin_name\": \"Epimecis_hortaria\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0020253\", \"latin_name_ref\": \"Hypagyrtis unipunctata\", \"latin_name\": \"Hypagyrtis_unipunctata\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0027849\", \"latin_name_ref\": \"Orthodes cynica\", \"latin_name\": \"Orthodes_cynica\"}, {\"common_name\": \"Pluto`S Small Minnow Mayfly\", \"irma_id\": \"0003451\", \"latin_name_ref\": \"Baetis pluto\", \"latin_name\": \"Baetis_pluto\"}, {\"common_name\": \"Greater Bladder Sedge\", \"irma_id\": \"0007034\", \"latin_name_ref\": \"Carex intumescens\", \"latin_name\": \"Carex_intumescens\"}, {\"common_name\": \"Mountain Wood Fern\", \"irma_id\": \"0013025\", \"latin_name_ref\": \"Dryopteris campyloptera\", \"latin_name\": \"Dryopteris_campyloptera\"}, {\"common_name\": \"Recurved Brotherella Moss\", \"irma_id\": \"0005702\", \"latin_name_ref\": \"Brotherella recurvans\", \"latin_name\": \"Brotherella_recurvans\"}, {\"common_name\": \"Harmsworth`S Water Bear\", \"irma_id\": \"0023669\", \"latin_name_ref\": \"Macrobiotus harmsworthi\", \"latin_name\": \"Macrobiotus_harmsworthi\"}, {\"common_name\": \"Narrow Riffle Beetle\", \"irma_id\": \"0032780\", \"latin_name_ref\": \"Promoresia tardella\", \"latin_name\": \"Promoresia_tardella\"}, {\"common_name\": \"Barred Owl\", \"irma_id\": \"0038526\", \"latin_name_ref\": \"Strix varia\", \"latin_name\": \"Strix_varia\"}, {\"common_name\": \"Incised Eunotia Diatom\", \"irma_id\": \"0015588\", \"latin_name_ref\": \"Eunotia incisa\", \"latin_name\": \"Eunotia_incisa\"}, {\"common_name\": \"Pepper And Salt Geometer\", \"irma_id\": \"0004848\", \"latin_name_ref\": \"Biston betularia\", \"latin_name\": \"Biston_betularia\"}, {\"common_name\": \"Bent-Lined Gray\", \"irma_id\": \"0019575\", \"latin_name_ref\": \"Iridopsis larvaria\", \"latin_name\": \"Iridopsis_larvaria\"}, {\"common_name\": \"Catawba Rhododendron\", \"irma_id\": \"0035062\", \"latin_name_ref\": \"Rhododendron catawbiense\", \"latin_name\": \"Rhododendron_catawbiense\"}, {\"common_name\": \"Appalachian Bunchflower\", \"irma_id\": \"0024157\", \"latin_name_ref\": \"Melanthium parviflorum\", \"latin_name\": \"Melanthium_parviflorum\"}, {\"common_name\": \"American Umbrella-Leaf\", \"irma_id\": \"0011386\", \"latin_name_ref\": \"Diphylleia cymosa\", \"latin_name\": \"Diphylleia_cymosa\"}, {\"common_name\": \"Grove Blue Grass\", \"irma_id\": \"0031856\", \"latin_name_ref\": \"Poa alsodes\", \"latin_name\": \"Poa_alsodes\"}, {\"common_name\": \"Upland Bent\", \"irma_id\": \"0001184\", \"latin_name_ref\": \"Agrostis perennans\", \"latin_name\": \"Agrostis_perennans\"}, {\"common_name\": \"Waterbear\", \"irma_id\": \"0023676\", \"latin_name_ref\": \"Macrobiotus martini\", \"latin_name\": \"Macrobiotus_martini\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0032663\", \"latin_name_ref\": \"Probole amicaria\", \"latin_name\": \"Probole_amicaria\"}, {\"common_name\": \"Running Strawberry-Bush\", \"irma_id\": \"0015648\", \"latin_name_ref\": \"Euonymus obovatus\", \"latin_name\": \"Euonymus_obovatus\"}, {\"common_name\": \"Appalachian Joe-Pye-Weed\", \"irma_id\": \"0015700\", \"latin_name_ref\": \"Eupatorium steelei\", \"latin_name\": \"Eupatorium_steelei\"}, {\"common_name\": \"Two-Tailed Flat-Headed Mayfly\", \"irma_id\": \"0013930\", \"latin_name_ref\": \"Epeorus pleuralis\", \"latin_name\": \"Epeorus_pleuralis\"}, {\"common_name\": \"Fragile Dagger\", \"irma_id\": \"0000718\", \"latin_name_ref\": \"Acronicta fragilis\", \"latin_name\": \"Acronicta_fragilis\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0025712\", \"latin_name_ref\": \"Morrisonia latex\", \"latin_name\": \"Morrisonia_latex\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0030728\", \"latin_name_ref\": \"Phlogophora periculosa\", \"latin_name\": \"Phlogophora_periculosa\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0033681\", \"latin_name_ref\": \"Pseudorthodes vecors\", \"latin_name\": \"Pseudorthodes_vecors\"}, {\"common_name\": \"Michaux\\\\u2019S Saxifrage\", \"irma_id\": \"0035645\", \"latin_name_ref\": \"Saxifraga michauxii\", \"latin_name\": \"Saxifraga_michauxii\"}, {\"common_name\": \"Small Enchanter\\\\u2019S-Nightshade\", \"irma_id\": \"0008764\", \"latin_name_ref\": \"Circaea alpina alpina\", \"latin_name\": \"Circaea_alpina_alpina\"}, {\"common_name\": \"Black Elder\", \"irma_id\": \"0033189\", \"latin_name_ref\": \"Sambucus nigra canadensis\", \"latin_name\": \"Sambucus_nigra_canadensis\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0020553\", \"latin_name_ref\": \"Hypsibius convergens\", \"latin_name\": \"Hypsibius_convergens\"}, {\"common_name\": \"Possomhaw\", \"irma_id\": \"0042276\", \"latin_name_ref\": \"Viburnum nudum v cassinoides\", \"latin_name\": \"Viburnum_nudum_v_cassinoides\"}, {\"common_name\": \"Waterbear\", \"irma_id\": \"0028830\", \"latin_name_ref\": \"Paramacrobiotus tonollii\", \"latin_name\": \"Paramacrobiotus_tonollii\"}, {\"common_name\": \"Mountain Meadow-Rue\", \"irma_id\": \"0039927\", \"latin_name_ref\": \"Thalictrum clavatum\", \"latin_name\": \"Thalictrum_clavatum\"}, {\"common_name\": \"Skunk Goldenrod \", \"irma_id\": \"0037379\", \"latin_name_ref\": \"Solidago glomerata\", \"latin_name\": \"Solidago_glomerata\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0020645\", \"latin_name_ref\": \"Idia aemula\", \"latin_name\": \"Idia_aemula\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0036014\", \"latin_name_ref\": \"Scopula limboundata\", \"latin_name\": \"Scopula_limboundata\"}, {\"common_name\": \"Whorled Nodding-Aster\", \"irma_id\": \"0027041\", \"latin_name_ref\": \"Oclemena acuminata\", \"latin_name\": \"Oclemena_acuminata\"}, {\"common_name\": \"Swainson\\'S Thrush\", \"irma_id\": \"0007287\", \"latin_name_ref\": \"Catharus ustulatus\", \"latin_name\": \"Catharus_ustulatus\"}, {\"common_name\": \"Mountain Wood-Aster\", \"irma_id\": \"0014724\", \"latin_name_ref\": \"Eurybia chlorolepis\", \"latin_name\": \"Eurybia_chlorolepis\"}, {\"common_name\": \"Red Elderberry\", \"irma_id\": \"0033192\", \"latin_name_ref\": \"Sambucus racemosa v racemosa\", \"latin_name\": \"Sambucus_racemosa_v_racemosa\"}, {\"common_name\": \"Pine Siskin\", \"irma_id\": \"0037888\", \"latin_name_ref\": \"Spinus pinus\", \"latin_name\": \"Spinus_pinus\"}, {\"common_name\": \"Minor Eunotia Diatom\", \"irma_id\": \"0015599\", \"latin_name_ref\": \"Eunotia minor\", \"latin_name\": \"Eunotia_minor\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0004143\", \"latin_name_ref\": \"Astatumen trinacriae\", \"latin_name\": \"Astatumen_trinacriae\"}, {\"common_name\": \"Beautiful Stone\", \"irma_id\": \"0028753\", \"latin_name_ref\": \"Paragnetina immarginata\", \"latin_name\": \"Paragnetina_immarginata\"}, {\"common_name\": \"Saddleback Looper\", \"irma_id\": \"0013229\", \"latin_name_ref\": \"Ectropis crepuscularia\", \"latin_name\": \"Ectropis_crepuscularia\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0011887\", \"latin_name_ref\": \"Desmia funeralis\", \"latin_name\": \"Desmia_funeralis\"}, {\"common_name\": \"Great Spangled Fritillary\", \"irma_id\": \"0037712\", \"latin_name_ref\": \"Speyeria cybele\", \"latin_name\": \"Speyeria_cybele\"}, {\"common_name\": \"Red Admiral\", \"irma_id\": \"0042065\", \"latin_name_ref\": \"Vanessa atalanta\", \"latin_name\": \"Vanessa_atalanta\"}, {\"common_name\": \"Baltimore Bomolocha Moth\", \"irma_id\": \"0005151\", \"latin_name_ref\": \"Bomolocha baltimoralis\", \"latin_name\": \"Bomolocha_baltimoralis\"}, {\"common_name\": \"Yellow Poplar Weevil\", \"irma_id\": \"0027121\", \"latin_name_ref\": \"Odontopus calceatus\", \"latin_name\": \"Odontopus_calceatus\"}, {\"common_name\": \"Spotted Touch-Me-Not\", \"irma_id\": \"0020719\", \"latin_name_ref\": \"Impatiens capensis\", \"latin_name\": \"Impatiens_capensis\"}, {\"common_name\": \"Ornate Dogfaced Caddis\", \"irma_id\": \"0026374\", \"latin_name_ref\": \"Neophylax ornatus\", \"latin_name\": \"Neophylax_ornatus\"}, {\"common_name\": \"Red-Winged Blackbird\", \"irma_id\": \"0000957\", \"latin_name_ref\": \"Agelaius phoeniceus\", \"latin_name\": \"Agelaius_phoeniceus\"}, {\"common_name\": \"Oval Riffle Beetle\", \"irma_id\": \"0027649\", \"latin_name_ref\": \"Optioservus ovalis\", \"latin_name\": \"Optioservus_ovalis\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0033418\", \"latin_name_ref\": \"Pseudaletia unipuncta\", \"latin_name\": \"Pseudaletia_unipuncta\"}, {\"common_name\": \"Red-Twig Doghobble\", \"irma_id\": \"0022462\", \"latin_name_ref\": \"Leucothoe recurva\", \"latin_name\": \"Leucothoe_recurva\"}, {\"common_name\": \"Winter Ant\", \"irma_id\": \"0032556\", \"latin_name_ref\": \"Prenolepis imparis\", \"latin_name\": \"Prenolepis_imparis\"}, {\"common_name\": \"Girlfriend Underwing Moth\", \"irma_id\": \"0007317\", \"latin_name_ref\": \"Catocala amica\", \"latin_name\": \"Catocala_amica\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0015959\", \"latin_name_ref\": \"Eutrapela clemataria\", \"latin_name\": \"Eutrapela_clemataria\"}, {\"common_name\": \"Hesitant Dagger Moth\", \"irma_id\": \"0000722\", \"latin_name_ref\": \"Acronicta haesitata\", \"latin_name\": \"Acronicta_haesitata\"}, {\"common_name\": \"Io Moth \", \"irma_id\": \"0003178\", \"latin_name_ref\": \"Automeris io\", \"latin_name\": \"Automeris_io\"}, {\"common_name\": \"Lesser Grapevine Looper Moth\", \"irma_id\": \"0015510\", \"latin_name_ref\": \"Eulithis diversilineata\", \"latin_name\": \"Eulithis_diversilineata\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0040585\", \"latin_name_ref\": \"Zanclognatha laevigata\", \"latin_name\": \"Zanclognatha_laevigata\"}, {\"common_name\": \"Crayfish\", \"irma_id\": \"0005201\", \"latin_name_ref\": \"Cambarus Hiaticambarus longirostris\", \"latin_name\": \"Cambarus_Hiaticambarus_longirostris\"}, {\"common_name\": \"Appalachian False Goat\\\\u2019S-Beard\", \"irma_id\": \"0004198\", \"latin_name_ref\": \"Astilbe biternata\", \"latin_name\": \"Astilbe_biternata\"}, {\"common_name\": \"Tiny Riffle Beetle\", \"irma_id\": \"0028166\", \"latin_name_ref\": \"Oulimnius latiusculus\", \"latin_name\": \"Oulimnius_latiusculus\"}, {\"common_name\": \"American-Bellflower\", \"irma_id\": \"0005277\", \"latin_name_ref\": \"Campanulastrum americanum\", \"latin_name\": \"Campanulastrum_americanum\"}, {\"common_name\": \"Broad Loose-Flower Sedge\", \"irma_id\": \"0007042\", \"latin_name_ref\": \"Carex laxiflora v laxiflora\", \"latin_name\": \"Carex_laxiflora_v_laxiflora\"}, {\"common_name\": \"Yellow-Faced Non-Biting Midge\", \"irma_id\": \"0005666\", \"latin_name_ref\": \"Brillia flavifrons\", \"latin_name\": \"Brillia_flavifrons\"}, {\"common_name\": \"American Mite Eating Ant\", \"irma_id\": \"0024621\", \"latin_name_ref\": \"Myrmecina americana\", \"latin_name\": \"Myrmecina_americana\"}, {\"common_name\": \"Diatom\", \"irma_id\": \"0015602\", \"latin_name_ref\": \"Eunotia muscicola v tridentula\", \"latin_name\": \"Eunotia_muscicola_v_tridentula\"}, {\"common_name\": \"Meager Enotia Diatom\", \"irma_id\": \"0015580\", \"latin_name_ref\": \"Eunotia exigua\", \"latin_name\": \"Eunotia_exigua\"}, {\"common_name\": \"Maculate Fingernet Caddis\", \"irma_id\": \"0032055\", \"latin_name_ref\": \"Polycentropus maculatus\", \"latin_name\": \"Polycentropus_maculatus\"}, {\"common_name\": \"Silly Stickbait Caddis\", \"irma_id\": \"0034149\", \"latin_name_ref\": \"Pycnopsyche sonso\", \"latin_name\": \"Pycnopsyche_sonso\"}, {\"common_name\": \"Carolina Armored Mayfly\", \"irma_id\": \"0003467\", \"latin_name_ref\": \"Baetisca carolina\", \"latin_name\": \"Baetisca_carolina\"}, {\"common_name\": \"Twin-Spotted Spiketail\", \"irma_id\": \"0010050\", \"latin_name_ref\": \"Cordulegaster maculata\", \"latin_name\": \"Cordulegaster_maculata\"}, {\"common_name\": \"Flat-Headed Mayfly\", \"irma_id\": \"0013933\", \"latin_name_ref\": \"Epeorus rubidussubpallidus\", \"latin_name\": \"Epeorus_rubidussubpallidus\"}, {\"common_name\": \"Lamp Rush\", \"irma_id\": \"0021009\", \"latin_name_ref\": \"Juncus effusus v solutus\", \"latin_name\": \"Juncus_effusus_v_solutus\"}, {\"common_name\": \"Red Crossbill\", \"irma_id\": \"0023302\", \"latin_name_ref\": \"Loxia curvirostra\", \"latin_name\": \"Loxia_curvirostra\"}, {\"common_name\": \"Princess-Pine\", \"irma_id\": \"0023496\", \"latin_name_ref\": \"Lycopodium obscurum\", \"latin_name\": \"Lycopodium_obscurum\"}, {\"common_name\": \"Slender Wood-Reed\", \"irma_id\": \"0008748\", \"latin_name_ref\": \"Cinna latifolia\", \"latin_name\": \"Cinna_latifolia\"}, {\"common_name\": \"Unclear Dagger Moth\", \"irma_id\": \"0000730\", \"latin_name_ref\": \"Acronicta inclara\", \"latin_name\": \"Acronicta_inclara\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0011610\", \"latin_name_ref\": \"Dasychira obliquata\", \"latin_name\": \"Dasychira_obliquata\"}, {\"common_name\": \"Flat-Headed Mayfly A5\", \"irma_id\": \"0022474\", \"latin_name_ref\": \"Leucrocuta thetis\", \"latin_name\": \"Leucrocuta_thetis\"}, {\"common_name\": \"Bent-Winged Owlet\", \"irma_id\": \"0004940\", \"latin_name_ref\": \"Bleptina caradrinalis\", \"latin_name\": \"Bleptina_caradrinalis\"}, {\"common_name\": \"Closebanded Yellowhorn\", \"irma_id\": \"0009565\", \"latin_name_ref\": \"Colocasia propinquilinea\", \"latin_name\": \"Colocasia_propinquilinea\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0020285\", \"latin_name_ref\": \"Hypena scabra\", \"latin_name\": \"Hypena_scabra\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0023056\", \"latin_name_ref\": \"Lithacodia muscosula\", \"latin_name\": \"Lithacodia_muscosula\"}, {\"common_name\": \"Stenolophus Ground Beetle\", \"irma_id\": \"0038071\", \"latin_name_ref\": \"Stenolophus Stenolophus ochropezus\", \"latin_name\": \"Stenolophus_Stenolophus_ochropezus\"}, {\"common_name\": \"Plantain-Leaf Sedge\", \"irma_id\": \"0007063\", \"latin_name_ref\": \"Carex plantaginea\", \"latin_name\": \"Carex_plantaginea\"}, {\"common_name\": \"Pink-Shaded Fern Moth\", \"irma_id\": \"0006223\", \"latin_name_ref\": \"Callopistria mollissima\", \"latin_name\": \"Callopistria_mollissima\"}, {\"common_name\": \"Dusky Groundling Moth\", \"irma_id\": \"0009671\", \"latin_name_ref\": \"Condica vecors\", \"latin_name\": \"Condica_vecors\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0018939\", \"latin_name_ref\": \"Herpetogramma thestealis\", \"latin_name\": \"Herpetogramma_thestealis\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0017656\", \"latin_name_ref\": \"Heterocampa obliqua\", \"latin_name\": \"Heterocampa_obliqua\"}, {\"common_name\": \"Spotted Stickbait Caddisfly\", \"irma_id\": \"0034131\", \"latin_name_ref\": \"Pycnopsyche antica\", \"latin_name\": \"Pycnopsyche_antica\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0035979\", \"latin_name_ref\": \"Scoparia biplagialis\", \"latin_name\": \"Scoparia_biplagialis\"}, {\"common_name\": \"Smooth Sumac\", \"irma_id\": \"0035112\", \"latin_name_ref\": \"Rhus glabra\", \"latin_name\": \"Rhus_glabra\"}, {\"common_name\": \"Winged Elm\", \"irma_id\": \"0041634\", \"latin_name_ref\": \"Ulmus alata\", \"latin_name\": \"Ulmus_alata\"}, {\"common_name\": \"Ant B\", \"irma_id\": \"0032394\", \"latin_name_ref\": \"Ponera pennsylvanica\", \"latin_name\": \"Ponera_pennsylvanica\"}, {\"common_name\": \"Small Minnow Mayfly\", \"irma_id\": \"0000314\", \"latin_name_ref\": \"Acentrella ampla\", \"latin_name\": \"Acentrella_ampla\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0023607\", \"latin_name_ref\": \"Macaria fissinotata\", \"latin_name\": \"Macaria_fissinotata\"}, {\"common_name\": \"White-Footed Mouse\", \"irma_id\": \"0029881\", \"latin_name_ref\": \"Peromyscus leucopus\", \"latin_name\": \"Peromyscus_leucopus\"}, {\"common_name\": \"Carinate Antloving Rove Beetle\", \"irma_id\": \"0023647\", \"latin_name_ref\": \"Machaerodes carinatus\", \"latin_name\": \"Machaerodes_carinatus\"}, {\"common_name\": \"Oval-Based Prominent \", \"irma_id\": \"0029754\", \"latin_name_ref\": \"Peridea basitriens\", \"latin_name\": \"Peridea_basitriens\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0039821\", \"latin_name_ref\": \"Tetracis crocallata\", \"latin_name\": \"Tetracis_crocallata\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0040556\", \"latin_name_ref\": \"Zale minerea\", \"latin_name\": \"Zale_minerea\"}, {\"common_name\": \"Leconte`S Rove Beetle\", \"irma_id\": \"0019702\", \"latin_name_ref\": \"Ischnosoma lecontei\", \"latin_name\": \"Ischnosoma_lecontei\"}, {\"common_name\": \"Greenbrier Springfly\", \"irma_id\": \"0040519\", \"latin_name_ref\": \"Yugus bulbosus\", \"latin_name\": \"Yugus_bulbosus\"}, {\"common_name\": \"False Non-Biting Midge\", \"irma_id\": \"0032175\", \"latin_name_ref\": \"Polypedilum Polypedilum fallax\", \"latin_name\": \"Polypedilum_Polypedilum_fallax\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0013163\", \"latin_name_ref\": \"Echiniscus virginicus\", \"latin_name\": \"Echiniscus_virginicus\"}, {\"common_name\": \"Brownish Small Minnow Mayfly\", \"irma_id\": \"0003279\", \"latin_name_ref\": \"Baetis brunneicolor\", \"latin_name\": \"Baetis_brunneicolor\"}, {\"common_name\": \"American Plum\", \"irma_id\": \"0033000\", \"latin_name_ref\": \"Prunus americana\", \"latin_name\": \"Prunus_americana\"}, {\"common_name\": \"Luna Moth \", \"irma_id\": \"0000794\", \"latin_name_ref\": \"Actias luna\", \"latin_name\": \"Actias_luna\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0011649\", \"latin_name_ref\": \"Datana angusii\", \"latin_name\": \"Datana_angusii\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0032004\", \"latin_name_ref\": \"Polia nimbosa\", \"latin_name\": \"Polia_nimbosa\"}, {\"common_name\": \"Song Sparrow\", \"irma_id\": \"0024246\", \"latin_name_ref\": \"Melospiza melodia\", \"latin_name\": \"Melospiza_melodia\"}, {\"common_name\": \"Similar Antloving Rove Beetle\", \"irma_id\": \"0015987\", \"latin_name_ref\": \"Eutyphlus similis\", \"latin_name\": \"Eutyphlus_similis\"}, {\"common_name\": \"Dark Red Underwing\", \"irma_id\": \"0007418\", \"latin_name_ref\": \"Catocala ultronia\", \"latin_name\": \"Catocala_ultronia\"}, {\"common_name\": \"Imperial Moth \", \"irma_id\": \"0013109\", \"latin_name_ref\": \"Eacles imperialis\", \"latin_name\": \"Eacles_imperialis\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0015135\", \"latin_name_ref\": \"Euchlaena amoenaria\", \"latin_name\": \"Euchlaena_amoenaria\"}, {\"common_name\": \"Buckeye\", \"irma_id\": \"0021184\", \"latin_name_ref\": \"Junonia coenia\", \"latin_name\": \"Junonia_coenia\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0034327\", \"latin_name_ref\": \"Pyrrhia exprimens\", \"latin_name\": \"Pyrrhia_exprimens\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0028554\", \"latin_name_ref\": \"Panopoda carneicosta\", \"latin_name\": \"Panopoda_carneicosta\"}, {\"common_name\": \"Locust Leaf Miner\", \"irma_id\": \"0027127\", \"latin_name_ref\": \"Odontota dorsalis\", \"latin_name\": \"Odontota_dorsalis\"}, {\"common_name\": \"Undulated Eunotia Diatom\", \"irma_id\": \"0015636\", \"latin_name_ref\": \"Eunotia varioundulata\", \"latin_name\": \"Eunotia_varioundulata\"}, {\"common_name\": \"Creeping Cedar\", \"irma_id\": \"0011381\", \"latin_name_ref\": \"Diphasiastrum digitatum\", \"latin_name\": \"Diphasiastrum_digitatum\"}, {\"common_name\": \"Spiny Oakworm Moth\", \"irma_id\": \"0002364\", \"latin_name_ref\": \"Anisota stigma\", \"latin_name\": \"Anisota_stigma\"}, {\"common_name\": \"Carolina Satyr\", \"irma_id\": \"0018926\", \"latin_name_ref\": \"Hermeuptychia sosybius\", \"latin_name\": \"Hermeuptychia_sosybius\"}, {\"common_name\": \"Andromeda Underwing\", \"irma_id\": \"0007319\", \"latin_name_ref\": \"Catocala andromedae\", \"latin_name\": \"Catocala_andromedae\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0015873\", \"latin_name_ref\": \"Eupithecia miserulata\", \"latin_name\": \"Eupithecia_miserulata\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0023193\", \"latin_name_ref\": \"Lochmaeus manteo\", \"latin_name\": \"Lochmaeus_manteo\"}, {\"common_name\": \"Morrison\\'S Pero\", \"irma_id\": \"0029870\", \"latin_name_ref\": \"Pero morrisonaria\", \"latin_name\": \"Pero_morrisonaria\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0035814\", \"latin_name_ref\": \"Schizura leptinoides\", \"latin_name\": \"Schizura_leptinoides\"}, {\"common_name\": \"Tallulah Falls Antloving Rove Beetle\", \"irma_id\": \"0037441\", \"latin_name_ref\": \"Sonoma tolulae\", \"latin_name\": \"Sonoma_tolulae\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0023047\", \"latin_name_ref\": \"Lithacodes fasciola\", \"latin_name\": \"Lithacodes_fasciola\"}, {\"common_name\": \"Satchem\", \"irma_id\": \"0004288\", \"latin_name_ref\": \"Atalopedes campestris\", \"latin_name\": \"Atalopedes_campestris\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0015074\", \"latin_name_ref\": \"Eubaphe mendica\", \"latin_name\": \"Eubaphe_mendica\"}, {\"common_name\": \"Morbid Owlet Moth\", \"irma_id\": \"0008582\", \"latin_name_ref\": \"Chytolita morbidalis\", \"latin_name\": \"Chytolita_morbidalis\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0018935\", \"latin_name_ref\": \"Herpetogramma pertextalis\", \"latin_name\": \"Herpetogramma_pertextalis\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0023596\", \"latin_name_ref\": \"Lytrosis unitaria\", \"latin_name\": \"Lytrosis_unitaria\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0034225\", \"latin_name_ref\": \"Pyrausta acrionalis\", \"latin_name\": \"Pyrausta_acrionalis\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0041904\", \"latin_name_ref\": \"Urola nivalis\", \"latin_name\": \"Urola_nivalis\"}, {\"common_name\": \"Trumpetweed\", \"irma_id\": \"0015686\", \"latin_name_ref\": \"Eupatorium fistulosum\", \"latin_name\": \"Eupatorium_fistulosum\"}, {\"common_name\": \"Silky Willow\", \"irma_id\": \"0033171\", \"latin_name_ref\": \"Salix sericea\", \"latin_name\": \"Salix_sericea\"}, {\"common_name\": \"Lead-Colored Lichen Moth \", \"irma_id\": \"0008810\", \"latin_name_ref\": \"Cisthene plumbea\", \"latin_name\": \"Cisthene_plumbea\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0011653\", \"latin_name_ref\": \"Datana drexelii\", \"latin_name\": \"Datana_drexelii\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0011225\", \"latin_name_ref\": \"Digrammia ocellinata\", \"latin_name\": \"Digrammia_ocellinata\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0028604\", \"latin_name_ref\": \"Pantographa limata\", \"latin_name\": \"Pantographa_limata\"}, {\"common_name\": \"Spring Peeper\", \"irma_id\": \"0033408\", \"latin_name_ref\": \"Pseudacris crucifer\", \"latin_name\": \"Pseudacris_crucifer\"}, {\"common_name\": \"White Avens\", \"irma_id\": \"0017163\", \"latin_name_ref\": \"Geum canadense\", \"latin_name\": \"Geum_canadense\"}, {\"common_name\": \"Rosyside Dace\", \"irma_id\": \"0009080\", \"latin_name_ref\": \"Clinostomus funduloides\", \"latin_name\": \"Clinostomus_funduloides\"}, {\"common_name\": \"Yellow Non-Biting Midge\", \"irma_id\": \"0010722\", \"latin_name_ref\": \"Cryptochironomus fulvus\", \"latin_name\": \"Cryptochironomus_fulvus\"}, {\"common_name\": \"Black Cutworm\", \"irma_id\": \"0001200\", \"latin_name_ref\": \"Agrotis ipsilon\", \"latin_name\": \"Agrotis_ipsilon\"}, {\"common_name\": \"Spruce Harlequin\", \"irma_id\": \"0028461\", \"latin_name_ref\": \"Palthis angulalis\", \"latin_name\": \"Palthis_angulalis\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0028462\", \"latin_name_ref\": \"Palthis asopialis\", \"latin_name\": \"Palthis_asopialis\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0032679\", \"latin_name_ref\": \"Prochoerodes lineola\", \"latin_name\": \"Prochoerodes_lineola\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0041610\", \"latin_name_ref\": \"Udea rubigalis\", \"latin_name\": \"Udea_rubigalis\"}, {\"common_name\": \"Welsh Wave\", \"irma_id\": \"0042133\", \"latin_name_ref\": \"Venusia cambrica\", \"latin_name\": \"Venusia_cambrica\"}, {\"common_name\": \"Pale Lichen Moth \", \"irma_id\": \"0010383\", \"latin_name_ref\": \"Crambidia pallida\", \"latin_name\": \"Crambidia_pallida\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0010390\", \"latin_name_ref\": \"Crambus agitatellus\", \"latin_name\": \"Crambus_agitatellus\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0028456\", \"latin_name_ref\": \"Palpita magniferalis\", \"latin_name\": \"Palpita_magniferalis\"}, {\"common_name\": \"Small-Eyed Sphinx \", \"irma_id\": \"0028618\", \"latin_name_ref\": \"Paonias myops\", \"latin_name\": \"Paonias_myops\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0030051\", \"latin_name_ref\": \"Phalaenostola larentioides\", \"latin_name\": \"Phalaenostola_larentioides\"}, {\"common_name\": \"Gilt Darter\", \"irma_id\": \"0029719\", \"latin_name_ref\": \"Percina evides\", \"latin_name\": \"Percina_evides\"}, {\"common_name\": \"Cypress Rosette Grass\", \"irma_id\": \"0012108\", \"latin_name_ref\": \"Dichanthelium dichotomum v dichotomum\", \"latin_name\": \"Dichanthelium_dichotomum_v_dichotomum\"}, {\"common_name\": \"Nondescript Dagger Moth\", \"irma_id\": \"0000762\", \"latin_name_ref\": \"Acronicta spinigera\", \"latin_name\": \"Acronicta_spinigera\"}, {\"common_name\": \"White-Blotched Balsa\", \"irma_id\": \"0003527\", \"latin_name_ref\": \"Balsa labecula\", \"latin_name\": \"Balsa_labecula\"}, {\"common_name\": \"Gray Spruce Looper\", \"irma_id\": \"0007101\", \"latin_name_ref\": \"Caripeta divisata\", \"latin_name\": \"Caripeta_divisata\"}, {\"common_name\": \"Cloaked Marvel Moth\", \"irma_id\": \"0008585\", \"latin_name_ref\": \"Chytonix palliatricula\", \"latin_name\": \"Chytonix_palliatricula\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0015876\", \"latin_name_ref\": \"Eusarca confusaria\", \"latin_name\": \"Eusarca_confusaria\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0031681\", \"latin_name_ref\": \"Plagodis fervidaria\", \"latin_name\": \"Plagodis_fervidaria\"}, {\"common_name\": \"Arrow-Leaf Tearthumb\", \"irma_id\": \"0032107\", \"latin_name_ref\": \"Polygonum sagittatum\", \"latin_name\": \"Polygonum_sagittatum\"}, {\"common_name\": \"The Slowpoke\", \"irma_id\": \"0002491\", \"latin_name_ref\": \"Anorthodes tarda\", \"latin_name\": \"Anorthodes_tarda\"}, {\"common_name\": \"Polyphemus Moth\", \"irma_id\": \"0002550\", \"latin_name_ref\": \"Antheraea polyphemus\", \"latin_name\": \"Antheraea_polyphemus\"}, {\"common_name\": \"Eyed Baileya\", \"irma_id\": \"0003511\", \"latin_name_ref\": \"Baileya ophthalmica\", \"latin_name\": \"Baileya_ophthalmica\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0013417\", \"latin_name_ref\": \"Ellida caniplaga\", \"latin_name\": \"Ellida_caniplaga\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0026120\", \"latin_name_ref\": \"Nemoria bistriaria\", \"latin_name\": \"Nemoria_bistriaria\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0031680\", \"latin_name_ref\": \"Plagodis alcoolaria\", \"latin_name\": \"Plagodis_alcoolaria\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0032939\", \"latin_name_ref\": \"Protoboarmia porcelaria\", \"latin_name\": \"Protoboarmia_porcelaria\"}, {\"common_name\": \"Banded Woollybear\", \"irma_id\": \"0034325\", \"latin_name_ref\": \"Pyrrharctia isabella\", \"latin_name\": \"Pyrrharctia_isabella\"}, {\"common_name\": \"Yellow Woolly Bear\", \"irma_id\": \"0037883\", \"latin_name_ref\": \"Spilosoma virginica\", \"latin_name\": \"Spilosoma_virginica\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0039820\", \"latin_name_ref\": \"Tetracis cachexiata\", \"latin_name\": \"Tetracis_cachexiata\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0015773\", \"latin_name_ref\": \"Euphyia intermediata\", \"latin_name\": \"Euphyia_intermediata\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0018930\", \"latin_name_ref\": \"Herpetogramma abdominalis\", \"latin_name\": \"Herpetogramma_abdominalis\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0019789\", \"latin_name_ref\": \"Hydrelia inornata\", \"latin_name\": \"Hydrelia_inornata\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0020339\", \"latin_name_ref\": \"Hyperstrotia villificans\", \"latin_name\": \"Hyperstrotia_villificans\"}, {\"common_name\": \"Yellowstriped Armyworm\", \"irma_id\": \"0037978\", \"latin_name_ref\": \"Spodoptera ornithogalli\", \"latin_name\": \"Spodoptera_ornithogalli\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0039809\", \"latin_name_ref\": \"Tetanolita mynesalis\", \"latin_name\": \"Tetanolita_mynesalis\"}, {\"common_name\": \"Polytrichum Moss\", \"irma_id\": \"0032359\", \"latin_name_ref\": \"Polytrichum pallidisetum\", \"latin_name\": \"Polytrichum_pallidisetum\"}, {\"common_name\": \"Toed-Winged Beetle\", \"irma_id\": \"0002091\", \"latin_name_ref\": \"Anchytarsus bicolor\", \"latin_name\": \"Anchytarsus_bicolor\"}, {\"common_name\": \"Splendid Stickbait Caddis\", \"irma_id\": \"0034143\", \"latin_name_ref\": \"Pycnopsyche luculenta\", \"latin_name\": \"Pycnopsyche_luculenta\"}, {\"common_name\": \"Denuded Dicranodontium Moss\", \"irma_id\": \"0012267\", \"latin_name_ref\": \"Dicranodontium denudatum\", \"latin_name\": \"Dicranodontium_denudatum\"}, {\"common_name\": \"Ant\", \"irma_id\": \"0016780\", \"latin_name_ref\": \"Formica subsericea\", \"latin_name\": \"Formica_subsericea\"}, {\"common_name\": \"Cryptic Painted Minnow Mayfly\", \"irma_id\": \"0001768\", \"latin_name_ref\": \"Ameletus cryptostimulus\", \"latin_name\": \"Ameletus_cryptostimulus\"}, {\"common_name\": \"Eastern Needlefly\", \"irma_id\": \"0022483\", \"latin_name_ref\": \"Leuctra ferruginea\", \"latin_name\": \"Leuctra_ferruginea\"}, {\"common_name\": \"Black Carpenter Ant\", \"irma_id\": \"0005293\", \"latin_name_ref\": \"Camponotus pennsylvannicus\", \"latin_name\": \"Camponotus_pennsylvannicus\"}, {\"common_name\": \"Waterbear\", \"irma_id\": \"0025312\", \"latin_name_ref\": \"Milnesium bohleberi\", \"latin_name\": \"Milnesium_bohleberi\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0018394\", \"latin_name_ref\": \"Harpalus Opadius spadiceus\", \"latin_name\": \"Harpalus_Opadius_spadiceus\"}, {\"common_name\": \"Canadian Honewort\", \"irma_id\": \"0010755\", \"latin_name_ref\": \"Cryptotaenia canadensis\", \"latin_name\": \"Cryptotaenia_canadensis\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0020274\", \"latin_name_ref\": \"Hypena baltimoralis\", \"latin_name\": \"Hypena_baltimoralis\"}, {\"common_name\": \"Mountain Spleenwort\", \"irma_id\": \"0004129\", \"latin_name_ref\": \"Asplenium montanum\", \"latin_name\": \"Asplenium_montanum\"}, {\"common_name\": \"Marsh Blue Violet\", \"irma_id\": \"0042313\", \"latin_name_ref\": \"Viola cucullata\", \"latin_name\": \"Viola_cucullata\"}, {\"common_name\": \"Poverty Rush\", \"irma_id\": \"0021164\", \"latin_name_ref\": \"Juncus tenuis variety\", \"latin_name\": \"Juncus_tenuis_variety\"}, {\"common_name\": \"Malloch`S Non-Biting Midge\", \"irma_id\": \"0000223\", \"latin_name_ref\": \"Ablabesmyia mallochi\", \"latin_name\": \"Ablabesmyia_mallochi\"}, {\"common_name\": \"Shovel-Nosed Salamander\", \"irma_id\": \"0011921\", \"latin_name_ref\": \"Desmognathus marmoratus\", \"latin_name\": \"Desmognathus_marmoratus\"}, {\"common_name\": \"Drab Condylolomia\", \"irma_id\": \"0009675\", \"latin_name_ref\": \"Condylolomia participalis\", \"latin_name\": \"Condylolomia_participalis\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0036913\", \"latin_name_ref\": \"Steerecleus serrulatum\", \"latin_name\": \"Steerecleus_serrulatum\"}, {\"common_name\": \"Southern Bush-Honeysuckle\", \"irma_id\": \"0011213\", \"latin_name_ref\": \"Diervilla sessilifolia\", \"latin_name\": \"Diervilla_sessilifolia\"}, {\"common_name\": \"Spiny Crawler Mayfly 5\", \"irma_id\": \"0014751\", \"latin_name_ref\": \"Eurylophella funeralis\", \"latin_name\": \"Eurylophella_funeralis\"}, {\"common_name\": \"Flatheaded Mayfly\", \"irma_id\": \"0023622\", \"latin_name_ref\": \"Maccaffertium ithaca\", \"latin_name\": \"Maccaffertium_ithaca\"}, {\"common_name\": \"Flat-Headed Mayfly A4\", \"irma_id\": \"0022468\", \"latin_name_ref\": \"Leucrocuta juno\", \"latin_name\": \"Leucrocuta_juno\"}, {\"common_name\": \"Elegant Riffle Beetle\", \"irma_id\": \"0032777\", \"latin_name_ref\": \"Promoresia elegans\", \"latin_name\": \"Promoresia_elegans\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0034755\", \"latin_name_ref\": \"Renia factiosalis\", \"latin_name\": \"Renia_factiosalis\"}, {\"common_name\": \"Variable Antepione\", \"irma_id\": \"0002539\", \"latin_name_ref\": \"Antepione thisoaria\", \"latin_name\": \"Antepione_thisoaria\"}, {\"common_name\": \"Lichen\", \"irma_id\": \"0021936\", \"latin_name_ref\": \"Lecanora  cinereofusca\", \"latin_name\": \"Lecanora__cinereofusca\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0017005\", \"latin_name_ref\": \"Galgula partita\", \"latin_name\": \"Galgula_partita\"}, {\"common_name\": \"Zabulon Skipper\", \"irma_id\": \"0031877\", \"latin_name_ref\": \"Poanes zabulon\", \"latin_name\": \"Poanes_zabulon\"}, {\"common_name\": \"Comma\", \"irma_id\": \"0032084\", \"latin_name_ref\": \"Polygonia comma\", \"latin_name\": \"Polygonia_comma\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0040580\", \"latin_name_ref\": \"Zanclognatha cruralis\", \"latin_name\": \"Zanclognatha_cruralis\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0013188\", \"latin_name_ref\": \"Ecliptopera atricolorata\", \"latin_name\": \"Ecliptopera_atricolorata\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0021637\", \"latin_name_ref\": \"Lambdina fervidaria\", \"latin_name\": \"Lambdina_fervidaria\"}, {\"common_name\": \"Dicranum Moss\", \"irma_id\": \"0012340\", \"latin_name_ref\": \"Dicranum scoparium\", \"latin_name\": \"Dicranum_scoparium\"}, {\"common_name\": \"Medium Dagger Moth\", \"irma_id\": \"0000744\", \"latin_name_ref\": \"Acronicta modica\", \"latin_name\": \"Acronicta_modica\"}, {\"common_name\": \"Oak Besma\", \"irma_id\": \"0004759\", \"latin_name_ref\": \"Besma quercivoraria\", \"latin_name\": \"Besma_quercivoraria\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0011967\", \"latin_name_ref\": \"Diacme adipaloides\", \"latin_name\": \"Diacme_adipaloides\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0015513\", \"latin_name_ref\": \"Eulithis gracilineata\", \"latin_name\": \"Eulithis_gracilineata\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0023210\", \"latin_name_ref\": \"Lomographa vestaliata\", \"latin_name\": \"Lomographa_vestaliata\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0023613\", \"latin_name_ref\": \"Macaria pustularia\", \"latin_name\": \"Macaria_pustularia\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0029858\", \"latin_name_ref\": \"Pero ancetaria\", \"latin_name\": \"Pero_ancetaria\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0031885\", \"latin_name_ref\": \"Pococera asperatella\", \"latin_name\": \"Pococera_asperatella\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0040968\", \"latin_name_ref\": \"Tricholita signata\", \"latin_name\": \"Tricholita_signata\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0040552\", \"latin_name_ref\": \"Zale lunata\", \"latin_name\": \"Zale_lunata\"}, {\"common_name\": \"Hairy Wood-Rush\", \"irma_id\": \"0023437\", \"latin_name_ref\": \"Luzula acuminata variety\", \"latin_name\": \"Luzula_acuminata_variety\"}, {\"common_name\": \"Cornfield Ant\", \"irma_id\": \"0021872\", \"latin_name_ref\": \"Lasius Lasius alienus\", \"latin_name\": \"Lasius_Lasius_alienus\"}, {\"common_name\": \"Old Wife Underwing\", \"irma_id\": \"0007396\", \"latin_name_ref\": \"Catocala palaeogama\", \"latin_name\": \"Catocala_palaeogama\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0020250\", \"latin_name_ref\": \"Hypagyrtis esther\", \"latin_name\": \"Hypagyrtis_esther\"}, {\"common_name\": \"Little Nymph Underwing\", \"irma_id\": \"0007381\", \"latin_name_ref\": \"Catocala micronympha\", \"latin_name\": \"Catocala_micronympha\"}, {\"common_name\": \"Least-Marked Euchlaena Moth\", \"irma_id\": \"0015138\", \"latin_name_ref\": \"Euchlaena irraria\", \"latin_name\": \"Euchlaena_irraria\"}, {\"common_name\": \"White-Blotched Heterocampa Moth\", \"irma_id\": \"0017663\", \"latin_name_ref\": \"Heterocampa umbrata\", \"latin_name\": \"Heterocampa_umbrata\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0042394\", \"latin_name_ref\": \"Vitula edmandsii\", \"latin_name\": \"Vitula_edmandsii\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0042770\", \"latin_name_ref\": \"Xestia smithii\", \"latin_name\": \"Xestia_smithii\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0033497\", \"latin_name_ref\": \"Pseudeustrotia carneola\", \"latin_name\": \"Pseudeustrotia_carneola\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0034908\", \"latin_name_ref\": \"Rheumaptera prunivorata\", \"latin_name\": \"Rheumaptera_prunivorata\"}, {\"common_name\": \"York Sallfly\", \"irma_id\": \"0039008\", \"latin_name_ref\": \"Suwallia marginata\", \"latin_name\": \"Suwallia_marginata\"}, {\"common_name\": \"Greater Red Dart\", \"irma_id\": \"0000172\", \"latin_name_ref\": \"Abagrotis alternata\", \"latin_name\": \"Abagrotis_alternata\"}, {\"common_name\": \"Sordid Underwing\", \"irma_id\": \"0007410\", \"latin_name_ref\": \"Catocala sordida\", \"latin_name\": \"Catocala_sordida\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0031259\", \"latin_name_ref\": \"Physarum viride\", \"latin_name\": \"Physarum_viride\"}, {\"common_name\": \"Ant\", \"irma_id\": \"0021866\", \"latin_name_ref\": \"Lasius alienus\", \"latin_name\": \"Lasius_alienus\"}, {\"common_name\": \"Ant\", \"irma_id\": \"0038532\", \"latin_name_ref\": \"Temnothorax longispinosus\", \"latin_name\": \"Temnothorax_longispinosus\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0024338\", \"latin_name_ref\": \"Mychocerus striatus\", \"latin_name\": \"Mychocerus_striatus\"}, {\"common_name\": \"Yellow-Haired Dagger Moth\", \"irma_id\": \"0000728\", \"latin_name_ref\": \"Acronicta impleta\", \"latin_name\": \"Acronicta_impleta\"}, {\"common_name\": \"Tulip-Tree Silkmoth\", \"irma_id\": \"0006226\", \"latin_name_ref\": \"Callosamia angulifera\", \"latin_name\": \"Callosamia_angulifera\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0010358\", \"latin_name_ref\": \"Costaconvexa centrostrigaria\", \"latin_name\": \"Costaconvexa_centrostrigaria\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0017906\", \"latin_name_ref\": \"Gueneria similaria\", \"latin_name\": \"Gueneria_similaria\"}, {\"common_name\": \"Brown Bark Carpet\", \"irma_id\": \"0019335\", \"latin_name_ref\": \"Horisme intestinata\", \"latin_name\": \"Horisme_intestinata\"}, {\"common_name\": \"Hemlock Looper Moth\", \"irma_id\": \"0021638\", \"latin_name_ref\": \"Lambdina fiscellaria\", \"latin_name\": \"Lambdina_fiscellaria\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0035982\", \"latin_name_ref\": \"Scoparia cinereomedia\", \"latin_name\": \"Scoparia_cinereomedia\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0016171\", \"latin_name_ref\": \"Euzophera ostricolorella\", \"latin_name\": \"Euzophera_ostricolorella\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0042360\", \"latin_name_ref\": \"Virbia opella\", \"latin_name\": \"Virbia_opella\"}, {\"common_name\": \"Illinoian Non-Biting Midge\", \"irma_id\": \"0032176\", \"latin_name_ref\": \"Polypedilum Polypedilum illinoense\", \"latin_name\": \"Polypedilum_Polypedilum_illinoense\"}, {\"common_name\": \"Xenate Non-Biting Midge\", \"irma_id\": \"0039934\", \"latin_name_ref\": \"Thienemanniella xena\", \"latin_name\": \"Thienemanniella_xena\"}, {\"common_name\": \"American Holly\", \"irma_id\": \"0020696\", \"latin_name_ref\": \"Ilex opaca variety\", \"latin_name\": \"Ilex_opaca_variety\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0020552\", \"latin_name_ref\": \"Hypsibius cf dujardini\", \"latin_name\": \"Hypsibius_cf_dujardini\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0013356\", \"latin_name_ref\": \"Elaphria grata\", \"latin_name\": \"Elaphria_grata\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0025162\", \"latin_name_ref\": \"Microcrambus elegans\", \"latin_name\": \"Microcrambus_elegans\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0027292\", \"latin_name_ref\": \"Oligocentria lignicolor\", \"latin_name\": \"Oligocentria_lignicolor\"}, {\"common_name\": \"Gray-Foot Lancetooth\", \"irma_id\": \"0018361\", \"latin_name_ref\": \"Haplotrema concavum\", \"latin_name\": \"Haplotrema_concavum\"}, {\"common_name\": \"Core\\'S Starwort\", \"irma_id\": \"0036936\", \"latin_name_ref\": \"Stellaria corei\", \"latin_name\": \"Stellaria_corei\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0012030\", \"latin_name_ref\": \"Diarsia jucunda\", \"latin_name\": \"Diarsia_jucunda\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0011656\", \"latin_name_ref\": \"Datana ministra\", \"latin_name\": \"Datana_ministra\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0020655\", \"latin_name_ref\": \"Idia lubricalis\", \"latin_name\": \"Idia_lubricalis\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0041706\", \"latin_name_ref\": \"Zanclognatha ochreipennis\", \"latin_name\": \"Zanclognatha_ochreipennis\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0027297\", \"latin_name_ref\": \"Oligocentria semirufescens\", \"latin_name\": \"Oligocentria_semirufescens\"}, {\"common_name\": \"Little-Neck Ground Beetle\", \"irma_id\": \"0030573\", \"latin_name_ref\": \"Platynus Platynus tenuicollis\", \"latin_name\": \"Platynus_Platynus_tenuicollis\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0024098\", \"latin_name_ref\": \"Melanolophia signataria\", \"latin_name\": \"Melanolophia_signataria\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0028496\", \"latin_name_ref\": \"Pandemis limitata\", \"latin_name\": \"Pandemis_limitata\"}, {\"common_name\": \"Honest Ground Beetle\", \"irma_id\": \"0017061\", \"latin_name_ref\": \"Gastrellarius honestus\", \"latin_name\": \"Gastrellarius_honestus\"}, {\"common_name\": \"Splendid Dagger Moth\", \"irma_id\": \"0000765\", \"latin_name_ref\": \"Acronicta superans\", \"latin_name\": \"Acronicta_superans\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0030047\", \"latin_name_ref\": \"Phalaenophana pyramusalis\", \"latin_name\": \"Phalaenophana_pyramusalis\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0018931\", \"latin_name_ref\": \"Herpetogramma aeglealis\", \"latin_name\": \"Herpetogramma_aeglealis\"}, {\"common_name\": \"Worm\", \"irma_id\": \"0024518\", \"latin_name_ref\": \"Nais communis\", \"latin_name\": \"Nais_communis\"}, {\"common_name\": \"Broad Looseflower Sedge\", \"irma_id\": \"0007043\", \"latin_name_ref\": \"Carex laxiflora variety\", \"latin_name\": \"Carex_laxiflora_variety\"}, {\"common_name\": \"Pink Turtlehead\", \"irma_id\": \"0008003\", \"latin_name_ref\": \"Chelone lyonii\", \"latin_name\": \"Chelone_lyonii\"}, {\"common_name\": \"Green Arches\", \"irma_id\": \"0002037\", \"latin_name_ref\": \"Anaplectoides prasina\", \"latin_name\": \"Anaplectoides_prasina\"}, {\"common_name\": \"Spring Salamander\", \"irma_id\": \"0018027\", \"latin_name_ref\": \"Gyrinophilus porphyriticus danielsi\", \"latin_name\": \"Gyrinophilus_porphyriticus_danielsi\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0023458\", \"latin_name_ref\": \"Lycogala epidendrum\", \"latin_name\": \"Lycogala_epidendrum\"}, {\"common_name\": \"Small Brook Flat-Headed Mayfly\", \"irma_id\": \"0023628\", \"latin_name_ref\": \"Maccaffertium meririvulanum\", \"latin_name\": \"Maccaffertium_meririvulanum\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0032664\", \"latin_name_ref\": \"Probole nepiasaria\", \"latin_name\": \"Probole_nepiasaria\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0023192\", \"latin_name_ref\": \"Lochmaeus bilineata\", \"latin_name\": \"Lochmaeus_bilineata\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0025158\", \"latin_name_ref\": \"Microcrambus biguttellus\", \"latin_name\": \"Microcrambus_biguttellus\"}, {\"common_name\": \"Beaked Dodder\", \"irma_id\": \"0010914\", \"latin_name_ref\": \"Cuscuta rostrata\", \"latin_name\": \"Cuscuta_rostrata\"}, {\"common_name\": \"Flat-Headed Mayfly A8\", \"irma_id\": \"0038015\", \"latin_name_ref\": \"Stenacron interpunctatum\", \"latin_name\": \"Stenacron_interpunctatum\"}, {\"common_name\": \"Symbiotic Non-Biting Midge\", \"irma_id\": \"0039288\", \"latin_name_ref\": \"Synorthocladius semivirens\", \"latin_name\": \"Synorthocladius_semivirens\"}, {\"common_name\": \"Least Sallfly\", \"irma_id\": \"0018348\", \"latin_name_ref\": \"Haploperla brevis\", \"latin_name\": \"Haploperla_brevis\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0025636\", \"latin_name_ref\": \"Monopis marginistrigella\", \"latin_name\": \"Monopis_marginistrigella\"}, {\"common_name\": \"Digressing Non-Biting Midge\", \"irma_id\": \"0023724\", \"latin_name_ref\": \"Macropelopia decedens\", \"latin_name\": \"Macropelopia_decedens\"}, {\"common_name\": \"Brownish Sedge\", \"irma_id\": \"0003387\", \"latin_name_ref\": \"Carex brunnescens sphaerostachya\", \"latin_name\": \"Carex_brunnescens_sphaerostachya\"}, {\"common_name\": \"Bristly Buttercup\", \"irma_id\": \"0034502\", \"latin_name_ref\": \"Ranunculus hispidus variety\", \"latin_name\": \"Ranunculus_hispidus_variety\"}, {\"common_name\": \"Brown Thrasher\", \"irma_id\": \"0040625\", \"latin_name_ref\": \"Toxostoma rufum\", \"latin_name\": \"Toxostoma_rufum\"}, {\"common_name\": \"Nicolay`S Antloving Rove Beetle\", \"irma_id\": \"0025389\", \"latin_name_ref\": \"Mipseltyrus nicolayi\", \"latin_name\": \"Mipseltyrus_nicolayi\"}, {\"common_name\": \"Charming Underwing Moth\", \"irma_id\": \"0007325\", \"latin_name_ref\": \"Catocala blandula\", \"latin_name\": \"Catocala_blandula\"}, {\"common_name\": \"Two-Leaf Bishop\\\\u2019S-Cap\", \"irma_id\": \"0025445\", \"latin_name_ref\": \"Mitella diphylla\", \"latin_name\": \"Mitella_diphylla\"}, {\"common_name\": \"Yellow Wakerobin\", \"irma_id\": \"0041205\", \"latin_name_ref\": \"Trillium luteum\", \"latin_name\": \"Trillium_luteum\"}, {\"common_name\": \"Bristly Cutworm\", \"irma_id\": \"0021414\", \"latin_name_ref\": \"Lacinipolia renigera\", \"latin_name\": \"Lacinipolia_renigera\"}, {\"common_name\": \"Southern Pine Sphinx Moth\", \"irma_id\": \"0021691\", \"latin_name_ref\": \"Lapara coniferarum\", \"latin_name\": \"Lapara_coniferarum\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0040534\", \"latin_name_ref\": \"Zale aeruginosa\", \"latin_name\": \"Zale_aeruginosa\"}, {\"common_name\": \"Sap-Feeding Beetle 04\", \"irma_id\": \"0036932\", \"latin_name_ref\": \"Stelidota octomaculata\", \"latin_name\": \"Stelidota_octomaculata\"}, {\"common_name\": \"Green Non-Biting Midge\", \"irma_id\": \"0032749\", \"latin_name_ref\": \"Prodiamesa olivacea\", \"latin_name\": \"Prodiamesa_olivacea\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0008973\", \"latin_name_ref\": \"Clavicorona pyxidata\", \"latin_name\": \"Clavicorona_pyxidata\"}, {\"common_name\": \"Brown-Lined Dart Moth\", \"irma_id\": \"0002036\", \"latin_name_ref\": \"Anaplectoides brunneomedia\", \"latin_name\": \"Anaplectoides_brunneomedia\"}, {\"common_name\": \"Richweed  \", \"irma_id\": \"0031385\", \"latin_name_ref\": \"Pilea pumila\", \"latin_name\": \"Pilea_pumila\"}, {\"common_name\": \"Cinnabar-Red Chanterelle\", \"irma_id\": \"0005388\", \"latin_name_ref\": \"Cantharellus cinnabarinus\", \"latin_name\": \"Cantharellus_cinnabarinus\"}, {\"common_name\": \"Carolina Stone\", \"irma_id\": \"0000688\", \"latin_name_ref\": \"Acroneuria carolinensis\", \"latin_name\": \"Acroneuria_carolinensis\"}, {\"common_name\": \"A Spiny Crawler Mayfly\", \"irma_id\": \"0012988\", \"latin_name_ref\": \"Drunella longicornis\", \"latin_name\": \"Drunella_longicornis\"}, {\"common_name\": \"Ephemerellid Mayfly\", \"irma_id\": \"0014024\", \"latin_name_ref\": \"Ephemerella invaria group\", \"latin_name\": \"Ephemerella_invaria_group\"}, {\"common_name\": \"Morose Caddisfly\", \"irma_id\": \"0019943\", \"latin_name_ref\": \"Hydropsyche morosa\", \"latin_name\": \"Hydropsyche_morosa\"}, {\"common_name\": \"Light Brown Apple Moth\", \"irma_id\": \"0009057\", \"latin_name_ref\": \"Clepsis virescana\", \"latin_name\": \"Clepsis_virescana\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0014053\", \"latin_name_ref\": \"Ephestiodes infimella\", \"latin_name\": \"Ephestiodes_infimella\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0015413\", \"latin_name_ref\": \"Eudonia heterosalis\", \"latin_name\": \"Eudonia_heterosalis\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0033612\", \"latin_name_ref\": \"Pseudohermonassa bicarnea\", \"latin_name\": \"Pseudohermonassa_bicarnea\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0042762\", \"latin_name_ref\": \"Xestia normaniana\", \"latin_name\": \"Xestia_normaniana\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0029629\", \"latin_name_ref\": \"Penicillium oxalicum\", \"latin_name\": \"Penicillium_oxalicum\"}, {\"common_name\": \"Nodding Fescue\", \"irma_id\": \"0016589\", \"latin_name_ref\": \"Festuca subverticillata\", \"latin_name\": \"Festuca_subverticillata\"}, {\"common_name\": \"Scarab Beetle\", \"irma_id\": \"0036554\", \"latin_name_ref\": \"Serica georgiana georgiana\", \"latin_name\": \"Serica_georgiana_georgiana\"}, {\"common_name\": \"Northern White Violet\", \"irma_id\": \"0042324\", \"latin_name_ref\": \"Viola macloskeyi variety\", \"latin_name\": \"Viola_macloskeyi_variety\"}, {\"common_name\": \"Roundneck Sexton Beetle\", \"irma_id\": \"0026620\", \"latin_name_ref\": \"Nicrophorus orbicollis\", \"latin_name\": \"Nicrophorus_orbicollis\"}, {\"common_name\": \"Hypnum Moss\", \"irma_id\": \"0020376\", \"latin_name_ref\": \"Hypnum imponens\", \"latin_name\": \"Hypnum_imponens\"}, {\"common_name\": \"False Lily-Of-The-Valley\", \"irma_id\": \"0023806\", \"latin_name_ref\": \"Maianthemum canadense\", \"latin_name\": \"Maianthemum_canadense\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0042709\", \"latin_name_ref\": \"Xeromphalina campanella\", \"latin_name\": \"Xeromphalina_campanella\"}, {\"common_name\": \"Golden Grounsel\", \"irma_id\": \"0028379\", \"latin_name_ref\": \"Packera aurea\", \"latin_name\": \"Packera_aurea\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0040088\", \"latin_name_ref\": \"Thysanopyga intractata\", \"latin_name\": \"Thysanopyga_intractata\"}, {\"common_name\": \"Common Looper Moth\", \"irma_id\": \"0003171\", \"latin_name_ref\": \"Autographa precationis\", \"latin_name\": \"Autographa_precationis\"}, {\"common_name\": \"Ochre Dagger Moth\", \"irma_id\": \"0000745\", \"latin_name_ref\": \"Acronicta morula\", \"latin_name\": \"Acronicta_morula\"}, {\"common_name\": \"Ilia Underwing\", \"irma_id\": \"0007360\", \"latin_name_ref\": \"Catocala ilia\", \"latin_name\": \"Catocala_ilia\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0011706\", \"latin_name_ref\": \"Deidamia inscripta\", \"latin_name\": \"Deidamia_inscripta\"}, {\"common_name\": \"Eastern Pinelooper\", \"irma_id\": \"0021641\", \"latin_name_ref\": \"Lambdina pellucidaria\", \"latin_name\": \"Lambdina_pellucidaria\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0024934\", \"latin_name_ref\": \"Metarranthis hypocharia\", \"latin_name\": \"Metarranthis_hypocharia\"}, {\"common_name\": \"Variegated Cutworm\", \"irma_id\": \"0029768\", \"latin_name_ref\": \"Peridroma saucia\", \"latin_name\": \"Peridroma_saucia\"}, {\"common_name\": \"Yellow Stickbait Caddis\", \"irma_id\": \"0034135\", \"latin_name_ref\": \"Pycnopsyche flavata\", \"latin_name\": \"Pycnopsyche_flavata\"}, {\"common_name\": \"Dracula Ant\", \"irma_id\": \"0001713\", \"latin_name_ref\": \"Amblyopone pallipes\", \"latin_name\": \"Amblyopone_pallipes\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0032472\", \"latin_name_ref\": \"Porpidia albocaerulescens\", \"latin_name\": \"Porpidia_albocaerulescens\"}, {\"common_name\": \"Lichen\", \"irma_id\": \"0034085\", \"latin_name_ref\": \"Punctelia rudecta\", \"latin_name\": \"Punctelia_rudecta\"}, {\"common_name\": \"Carlson\\'S Flatheaded Mayfly\", \"irma_id\": \"0023619\", \"latin_name_ref\": \"Maccaffertium carlsoni\", \"latin_name\": \"Maccaffertium_carlsoni\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0026790\", \"latin_name_ref\": \"Nomophila nearctica\", \"latin_name\": \"Nomophila_nearctica\"}, {\"common_name\": \"Twelve-Spotted Ladybug\", \"irma_id\": \"0018381\", \"latin_name_ref\": \"Harmonia axyridis\", \"latin_name\": \"Harmonia_axyridis\"}, {\"common_name\": \"Mountain Button\", \"irma_id\": \"0024839\", \"latin_name_ref\": \"Mesomphix andrewsae\", \"latin_name\": \"Mesomphix_andrewsae\"}, {\"common_name\": \"Aurora Trout\", \"irma_id\": \"0033186\", \"latin_name_ref\": \"Salvelinus fontinalis\", \"latin_name\": \"Salvelinus_fontinalis\"}, {\"common_name\": \"Higgin\\'S Waterbear\", \"irma_id\": \"0011373\", \"latin_name_ref\": \"Diphascon Diphascon higginsi\", \"latin_name\": \"Diphascon_Diphascon_higginsi\"}, {\"common_name\": \"Tonolli`S Water Bear\", \"irma_id\": \"0023684\", \"latin_name_ref\": \"Macrobiotus tonollii\", \"latin_name\": \"Macrobiotus_tonollii\"}, {\"common_name\": \"Lemon Plagodis Moth\", \"irma_id\": \"0031685\", \"latin_name_ref\": \"Plagodis serinaria\", \"latin_name\": \"Plagodis_serinaria\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0032231\", \"latin_name_ref\": \"Polypogon laevigata\", \"latin_name\": \"Polypogon_laevigata\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0035903\", \"latin_name_ref\": \"Sciota virgatella\", \"latin_name\": \"Sciota_virgatella\"}, {\"common_name\": \"Light-Blothced False Darkling Beetle\", \"irma_id\": \"0012500\", \"latin_name_ref\": \"Dircaea liturata\", \"latin_name\": \"Dircaea_liturata\"}, {\"common_name\": \"Virginia Creeper Sphinx Moth\", \"irma_id\": \"0011584\", \"latin_name_ref\": \"Darapsa myron\", \"latin_name\": \"Darapsa_myron\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0017256\", \"latin_name_ref\": \"Glena cribrataria\", \"latin_name\": \"Glena_cribrataria\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0027025\", \"latin_name_ref\": \"Ochropleura implecta\", \"latin_name\": \"Ochropleura_implecta\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0028696\", \"latin_name_ref\": \"Papilio troilus\", \"latin_name\": \"Papilio_troilus\"}, {\"common_name\": \"Question Mark\", \"irma_id\": \"0032087\", \"latin_name_ref\": \"Polygonia interrogationis\", \"latin_name\": \"Polygonia_interrogationis\"}, {\"common_name\": \"Golden Waxy Cap\", \"irma_id\": \"0020044\", \"latin_name_ref\": \"Hygrocybe flavescens\", \"latin_name\": \"Hygrocybe_flavescens\"}, {\"common_name\": \"Weeping Milk Cap Mushroom\", \"irma_id\": \"0021581\", \"latin_name_ref\": \"Lactarius volemus\", \"latin_name\": \"Lactarius_volemus\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0020279\", \"latin_name_ref\": \"Hypena edictalis\", \"latin_name\": \"Hypena_edictalis\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0029755\", \"latin_name_ref\": \"Peridea ferruginea\", \"latin_name\": \"Peridea_ferruginea\"}, {\"common_name\": \"Yellow-Spotted Webworm\", \"irma_id\": \"0002019\", \"latin_name_ref\": \"Anageshna primordialis\", \"latin_name\": \"Anageshna_primordialis\"}, {\"common_name\": \"Eastern Tent Caterpillar\", \"irma_id\": \"0023812\", \"latin_name_ref\": \"Malacosoma americanum\", \"latin_name\": \"Malacosoma_americanum\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0024660\", \"latin_name_ref\": \"Mythimna unipuncta\", \"latin_name\": \"Mythimna_unipuncta\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0031684\", \"latin_name_ref\": \"Plagodis pulveraria\", \"latin_name\": \"Plagodis_pulveraria\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0031780\", \"latin_name_ref\": \"Pleuroprucha insulsaria\", \"latin_name\": \"Pleuroprucha_insulsaria\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0040035\", \"latin_name_ref\": \"Trigrammia quadrinotaria\", \"latin_name\": \"Trigrammia_quadrinotaria\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0011621\", \"latin_name_ref\": \"Dasylophia thyatiroides\", \"latin_name\": \"Dasylophia_thyatiroides\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0021689\", \"latin_name_ref\": \"Laothoe juglandis\", \"latin_name\": \"Laothoe_juglandis\"}, {\"common_name\": \"Four-Barred Gray Moth\", \"irma_id\": \"0000139\", \"latin_name_ref\": \"Aethalura intertexta\", \"latin_name\": \"Aethalura_intertexta\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0013242\", \"latin_name_ref\": \"Egira alternans\", \"latin_name\": \"Egira_alternans\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0035900\", \"latin_name_ref\": \"Sciota subcaesiella\", \"latin_name\": \"Sciota_subcaesiella\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0040587\", \"latin_name_ref\": \"Zanclognatha martha\", \"latin_name\": \"Zanclognatha_martha\"}, {\"common_name\": \"Common Gray\", \"irma_id\": \"0002083\", \"latin_name_ref\": \"Anavitrinella pampinaria\", \"latin_name\": \"Anavitrinella_pampinaria\"}, {\"common_name\": \"Hollow-Spotted Blepharomastix Moth\", \"irma_id\": \"0004935\", \"latin_name_ref\": \"Blepharomastix ranalis\", \"latin_name\": \"Blepharomastix_ranalis\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0023603\", \"latin_name_ref\": \"Macaria aemulataria\", \"latin_name\": \"Macaria_aemulataria\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0023608\", \"latin_name_ref\": \"Macaria granitata\", \"latin_name\": \"Macaria_granitata\"}, {\"common_name\": \"Scribbler Moth\", \"irma_id\": \"0008829\", \"latin_name_ref\": \"Cladara atroliturata\", \"latin_name\": \"Cladara_atroliturata\"}, {\"common_name\": \"American Ear Moth\", \"irma_id\": \"0001894\", \"latin_name_ref\": \"Amphipoea americana\", \"latin_name\": \"Amphipoea_americana\"}, {\"common_name\": \"Straw Besma\", \"irma_id\": \"0004758\", \"latin_name_ref\": \"Besma endropiaria\", \"latin_name\": \"Besma_endropiaria\"}, {\"common_name\": \"Sweet Fern Geometer\", \"irma_id\": \"0009766\", \"latin_name_ref\": \"Cyclophora pendulinaria\", \"latin_name\": \"Cyclophora_pendulinaria\"}, {\"common_name\": \"Tawny Holomelina \", \"irma_id\": \"0019134\", \"latin_name_ref\": \"Holomelina opella\", \"latin_name\": \"Holomelina_opella\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0020546\", \"latin_name_ref\": \"Hyppa contrasta\", \"latin_name\": \"Hyppa_contrasta\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0027848\", \"latin_name_ref\": \"Orthodes crenulata\", \"latin_name\": \"Orthodes_crenulata\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0032954\", \"latin_name_ref\": \"Protolampra brunneicollis\", \"latin_name\": \"Protolampra_brunneicollis\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0040601\", \"latin_name_ref\": \"Tolype notialis\", \"latin_name\": \"Tolype_notialis\"}, {\"common_name\": \"Jelly Babies\", \"irma_id\": \"0022082\", \"latin_name_ref\": \"Leotia lubrica\", \"latin_name\": \"Leotia_lubrica\"}, {\"common_name\": \"White-Lined Leafroller\", \"irma_id\": \"0001843\", \"latin_name_ref\": \"Amorbia humerosana\", \"latin_name\": \"Amorbia_humerosana\"}, {\"common_name\": \"Dogwood Probole\", \"irma_id\": \"0032662\", \"latin_name_ref\": \"Probole alienaria\", \"latin_name\": \"Probole_alienaria\"}, {\"common_name\": \"Yellow-Collared Scape Moth \", \"irma_id\": \"0008787\", \"latin_name_ref\": \"Cisseps fulvicollis\", \"latin_name\": \"Cisseps_fulvicollis\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0018574\", \"latin_name_ref\": \"Heliomata cycladata\", \"latin_name\": \"Heliomata_cycladata\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0020277\", \"latin_name_ref\": \"Hypena deceptalis\", \"latin_name\": \"Hypena_deceptalis\"}, {\"common_name\": \"Hermit Thrush\", \"irma_id\": \"0007285\", \"latin_name_ref\": \"Catharus guttatus\", \"latin_name\": \"Catharus_guttatus\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0018554\", \"latin_name_ref\": \"Helicoverpa zea\", \"latin_name\": \"Helicoverpa_zea\"}, {\"common_name\": \"Short-Tailed Shrew\", \"irma_id\": \"0004884\", \"latin_name_ref\": \"Blarina brevicauda\", \"latin_name\": \"Blarina_brevicauda\"}, {\"common_name\": \"Cherry Dagger Moth\", \"irma_id\": \"0000724\", \"latin_name_ref\": \"Acronicta hasta\", \"latin_name\": \"Acronicta_hasta\"}, {\"common_name\": \"Garden Tortrix\", \"irma_id\": \"0009054\", \"latin_name_ref\": \"Clepsis peritana\", \"latin_name\": \"Clepsis_peritana\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0017701\", \"latin_name_ref\": \"Heterophleps refusaria\", \"latin_name\": \"Heterophleps_refusaria\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0022371\", \"latin_name_ref\": \"Leucania adjuta\", \"latin_name\": \"Leucania_adjuta\"}, {\"common_name\": \"White Striped Black\", \"irma_id\": \"0040938\", \"latin_name_ref\": \"Trichodezia albovittata\", \"latin_name\": \"Trichodezia_albovittata\"}, {\"common_name\": \"Common Eastern Bumble Bee\", \"irma_id\": \"0005130\", \"latin_name_ref\": \"Bombus Pyrobombus impatiens\", \"latin_name\": \"Bombus_Pyrobombus_impatiens\"}, {\"common_name\": \"Bronta Retreat-Maker\", \"irma_id\": \"0019923\", \"latin_name_ref\": \"Hydropsyche bronta\", \"latin_name\": \"Hydropsyche_bronta\"}, {\"common_name\": \"Scallop Moth\", \"irma_id\": \"0007609\", \"latin_name_ref\": \"Cepphis armataria\", \"latin_name\": \"Cepphis_armataria\"}, {\"common_name\": \"Juvenal`S Duskywing\", \"irma_id\": \"0014521\", \"latin_name_ref\": \"Erynnis juvenalis\", \"latin_name\": \"Erynnis_juvenalis\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0020653\", \"latin_name_ref\": \"Idia laurenti\", \"latin_name\": \"Idia_laurenti\"}, {\"common_name\": \"American Painted Lady\", \"irma_id\": \"0042067\", \"latin_name_ref\": \"Vanessa virginiensis\", \"latin_name\": \"Vanessa_virginiensis\"}, {\"common_name\": \"Toothed Brown Carpet\", \"irma_id\": \"0042645\", \"latin_name_ref\": \"Xanthorhoe lacustrata\", \"latin_name\": \"Xanthorhoe_lacustrata\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0016553\", \"latin_name_ref\": \"Feltia herilis\", \"latin_name\": \"Feltia_herilis\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0032001\", \"latin_name_ref\": \"Polia imbrifera\", \"latin_name\": \"Polia_imbrifera\"}, {\"common_name\": \"Pale-Banded Dart Moth\", \"irma_id\": \"0001024\", \"latin_name_ref\": \"Agnorisma badinodis\", \"latin_name\": \"Agnorisma_badinodis\"}, {\"common_name\": \"Widow Underwing Moth\", \"irma_id\": \"0007421\", \"latin_name_ref\": \"Catocala vidua\", \"latin_name\": \"Catocala_vidua\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0023606\", \"latin_name_ref\": \"Macaria bisignata\", \"latin_name\": \"Macaria_bisignata\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0029223\", \"latin_name_ref\": \"Phlyctaenia coronata\", \"latin_name\": \"Phlyctaenia_coronata\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0015461\", \"latin_name_ref\": \"Eugonobapta nivosaria\", \"latin_name\": \"Eugonobapta_nivosaria\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0028388\", \"latin_name_ref\": \"Paectes abrostoloides\", \"latin_name\": \"Paectes_abrostoloides\"}, {\"common_name\": \"Grand Globe\", \"irma_id\": \"0024821\", \"latin_name_ref\": \"Mesodon normalis\", \"latin_name\": \"Mesodon_normalis\"}, {\"common_name\": \"Weevil 9\", \"irma_id\": \"0014703\", \"latin_name_ref\": \"Eurhoptus pyriformis\", \"latin_name\": \"Eurhoptus_pyriformis\"}, {\"common_name\": \"Hufeland`S Waterbear\", \"irma_id\": \"0023670\", \"latin_name_ref\": \"Macrobiotus hufelandi\", \"latin_name\": \"Macrobiotus_hufelandi\"}, {\"common_name\": \"Southern Red-Backed Vole\", \"irma_id\": \"0009061\", \"latin_name_ref\": \"Clethrionomys gapperi carolinensis\", \"latin_name\": \"Clethrionomys_gapperi_carolinensis\"}, {\"common_name\": \"Apical Retreat-Maker\", \"irma_id\": \"0028919\", \"latin_name_ref\": \"Parapsyche apicalis\", \"latin_name\": \"Parapsyche_apicalis\"}, {\"common_name\": \"Raspberry Dager Moth\", \"irma_id\": \"0000731\", \"latin_name_ref\": \"Acronicta increta\", \"latin_name\": \"Acronicta_increta\"}, {\"common_name\": \"Retarded Dagger Moth\", \"irma_id\": \"0000757\", \"latin_name_ref\": \"Acronicta retardata\", \"latin_name\": \"Acronicta_retardata\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0011614\", \"latin_name_ref\": \"Dasychira tephra\", \"latin_name\": \"Dasychira_tephra\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0034543\", \"latin_name_ref\": \"Redectis vitrea\", \"latin_name\": \"Redectis_vitrea\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0041705\", \"latin_name_ref\": \"Zanclognatha obscuripennis\", \"latin_name\": \"Zanclognatha_obscuripennis\"}, {\"common_name\": \"Wild Strawberry\", \"irma_id\": \"0016818\", \"latin_name_ref\": \"Fragaria virginiana\", \"latin_name\": \"Fragaria_virginiana\"}, {\"common_name\": \"Red-Banded Hairstreak\", \"irma_id\": \"0006394\", \"latin_name_ref\": \"Calycopis cecrops\", \"latin_name\": \"Calycopis_cecrops\"}, {\"common_name\": \"Spring Azure\", \"irma_id\": \"0007505\", \"latin_name_ref\": \"Celastrina ladon\", \"latin_name\": \"Celastrina_ladon\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0011619\", \"latin_name_ref\": \"Dasylophia anguina\", \"latin_name\": \"Dasylophia_anguina\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0029346\", \"latin_name_ref\": \"Phosphila turbulenta\", \"latin_name\": \"Phosphila_turbulenta\"}, {\"common_name\": \"Foxglove Aphid\", \"irma_id\": \"0004454\", \"latin_name_ref\": \"Aulacorthum solani\", \"latin_name\": \"Aulacorthum_solani\"}, {\"common_name\": \"Small Baileya Moth\", \"irma_id\": \"0003507\", \"latin_name_ref\": \"Baileya australis\", \"latin_name\": \"Baileya_australis\"}, {\"common_name\": \"Unspecified\", \"irma_id\": \"0016564\", \"latin_name_ref\": \"Feralia comstocki\", \"latin_name\": \"Feralia_comstocki\"}, {\"common_name\": \"Dreamy Duskywing\", \"irma_id\": \"0014520\", \"latin_name_ref\": \"Erynnis icelus\", \"latin_name\": \"Erynnis_icelus\"}, {\"common_name\": \"Variegated Fritillary Butterfly\", \"irma_id\": \"0014683\", \"latin_name_ref\": \"Euptoieta claudia\", \"latin_name\": \"Euptoieta_claudia\"}, {\"common_name\": \"Devils Snuff-Box\", \"irma_id\": \"0023479\", \"latin_name_ref\": \"Lycoperdon perlatum\", \"latin_name\": \"Lycoperdon_perlatum\"}]}\\n'\n",
      "done\n"
     ]
    }
   ],
   "source": [
    "@auto.dataclasses.dataclass(eq=True, frozen=True)\n",
    "class Observation:\n",
    "    common_name: str\n",
    "    irma_id: str\n",
    "    latin_name_ref: str\n",
    "    latin_name: str\n",
    "\n",
    "def fetch(url):\n",
    "    print(f'Fetching: {url}')\n",
    "    data = auto.requests.get(url).content\n",
    "    print(data)\n",
    "    print('done')\n",
    "    return data\n",
    "\n",
    "@run\n",
    "def observations():\n",
    "    observations = []\n",
    "    for observation in (\n",
    "        Observation(**kwargs)\n",
    "        for kwargs in (\n",
    "            auto.json.loads(fetch('https://species.atlasofthesmokies.org/atbirecords/lexical_index.json'))\n",
    "        )['items']\n",
    "    ):\n",
    "        observations.append(observation)\n",
    "    \n",
    "    return observations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "26d3e8c6",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-16T17:03:13.737911Z",
     "start_time": "2023-08-16T17:03:13.732181Z"
    },
    "execution": {
     "iopub.execute_input": "2024-07-19T15:28:40.403482Z",
     "iopub.status.busy": "2024-07-19T15:28:40.402596Z",
     "iopub.status.idle": "2024-07-19T15:28:40.409980Z",
     "shell.execute_reply": "2024-07-19T15:28:40.408820Z"
    },
    "papermill": {
     "duration": 0.02019,
     "end_time": "2024-07-19T15:28:40.412076",
     "exception": false,
     "start_time": "2024-07-19T15:28:40.391886",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Observation(common_name='Scarlet Tanager', irma_id='0031497', latin_name_ref='Piranga olivacea', latin_name='Piranga_olivacea')\n"
     ]
    }
   ],
   "source": [
    "@run(after=print)\n",
    "def observation(observations, /):\n",
    "    for observation in observations:\n",
    "        if observation.irma_id not in [\n",
    "            SPECIES,\n",
    "        ]:\n",
    "            continue\n",
    "        \n",
    "        return observation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "2989ed92",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-16T17:03:13.895641Z",
     "start_time": "2023-08-16T17:03:13.740045Z"
    },
    "execution": {
     "iopub.execute_input": "2024-07-19T15:28:40.431641Z",
     "iopub.status.busy": "2024-07-19T15:28:40.430997Z",
     "iopub.status.idle": "2024-07-19T15:28:40.668566Z",
     "shell.execute_reply": "2024-07-19T15:28:40.667391Z"
    },
    "papermill": {
     "duration": 0.250882,
     "end_time": "2024-07-19T15:28:40.671708",
     "exception": false,
     "start_time": "2024-07-19T15:28:40.420826",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "13\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "len(tiles)=167\n",
      "[2184, 2185, 2186, 2187, 2188, 2189, 2190, 2191, 2192, 2193, 2194, 2195, 2196, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206]\n",
      "[3222, 3223, 3224, 3225, 3226, 3227, 3228, 3229, 3230, 3231, 3232]\n"
     ]
    }
   ],
   "source": [
    "@run(scope='observation')\n",
    "def db(observation, /):\n",
    "    @auto.mediocreatbest.contextgenerator(call=lambda generator: lambda sql, /, **parameters: generator.send((sql, parameters)))\n",
    "    def db(observation: Observation=observation, /):\n",
    "        # root = auto.pathlib.Path('/mnt/seenas2/data/johns_nps_run/maxent/mbtiles/out')\n",
    "        # path = root / f'atlas-user.{observation.irma_id}_pink.mbtiles'\n",
    "\n",
    "        root = auto.pathlib.Path('/mnt/seenas2/data/atlas_run/outputs/mbtiles')\n",
    "        path = root / f'seelab.{observation.latin_name.lower()}_pink.mbtiles'\n",
    "        \n",
    "        with auto.sqlite3.connect(path) as db:\n",
    "            db.row_factory = auto.sqlite3.Row\n",
    "            \n",
    "            cursor = None\n",
    "            while True:\n",
    "                sql, parameters = yield cursor\n",
    "                cursor = db.execute(sql, parameters)\n",
    "    \n",
    "    return db\n",
    "\n",
    "@run(scope='observation', after=print)\n",
    "def z():\n",
    "    z = 15\n",
    "\n",
    "    z = Z\n",
    "    return z\n",
    "\n",
    "@auto.dataclasses.dataclass(eq=True, frozen=True)\n",
    "class ObservationTile:\n",
    "    coord: Coord\n",
    "    image: bytes = auto.dataclasses.field(repr=False)\n",
    "\n",
    "@run(scope='observation', after=lambda tiles: print(f'{len(tiles)=!r}'))\n",
    "def tiles(db, z, /):\n",
    "    with db() as db:\n",
    "        tiles = []\n",
    "        for tile in db(r'''\n",
    "            SELECT\n",
    "                tile_row AS y_tms,\n",
    "                tile_column AS x,\n",
    "                zoom_level AS z,\n",
    "                tile_data AS image\n",
    "            FROM tiles\n",
    "            WHERE zoom_level = :z\n",
    "        ''', z=z):\n",
    "            tiles.append(ObservationTile(\n",
    "                coord=Coord(\n",
    "                    z=tile['z'],\n",
    "                    y=2 ** tile['z'] - 1 - tile['y_tms'],\n",
    "                    x=tile['x'],\n",
    "                ),\n",
    "                image=tile['image'],\n",
    "            ))\n",
    "    \n",
    "    return tiles\n",
    "\n",
    "@run(scope='observation', after=print)\n",
    "def xs(tiles, /):\n",
    "    return sorted(set(tile.coord.x for tile in tiles))\n",
    "\n",
    "@run(scope='observation', after=print)\n",
    "def ys(tiles, /):\n",
    "    return sorted(set(tile.coord.y for tile in tiles))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "1b2c3662",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-16T17:03:13.903594Z",
     "start_time": "2023-08-16T17:03:13.897856Z"
    },
    "execution": {
     "iopub.execute_input": "2024-07-19T15:28:40.699228Z",
     "iopub.status.busy": "2024-07-19T15:28:40.698336Z",
     "iopub.status.idle": "2024-07-19T15:28:40.710620Z",
     "shell.execute_reply": "2024-07-19T15:28:40.709476Z"
    },
    "papermill": {
     "duration": 0.029312,
     "end_time": "2024-07-19T15:28:40.713678",
     "exception": false,
     "start_time": "2024-07-19T15:28:40.684366",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def __stitch_tiles(tiles, /, size: int=128, flip=False):\n",
    "    auto.PIL; from PIL import Image\n",
    "    \n",
    "    xs = set(tile.coord.x for tile in tiles)\n",
    "    ys = set(tile.coord.y for tile in tiles)\n",
    "    \n",
    "    xs = sorted(xs)\n",
    "    ys = sorted(ys)\n",
    "    \n",
    "    nx = len(xs)\n",
    "    ny = len(ys)\n",
    "    \n",
    "    sz = size\n",
    "    \n",
    "    composite = Image.new('RGB', (nx*sz, ny*sz))\n",
    "    \n",
    "    for tile in tiles:\n",
    "        xi = xs.index(tile.coord.x)\n",
    "        yi = ys.index(tile.coord.y)\n",
    "        \n",
    "        with auto.io.BytesIO(tile.image) as f:\n",
    "            try:\n",
    "                image = Image.open(f)\n",
    "            except auto.PIL.UnidentifiedImageError:\n",
    "                continue\n",
    "\n",
    "            image.thumbnail((sz, sz))\n",
    "\n",
    "        # composite.paste(image, (yi*sz, xi*sz))\n",
    "        if flip==True:\n",
    "            composite.paste(image, (yi*sz, xi*sz))\n",
    "        else:\n",
    "            composite.paste(image, (xi*sz, yi*sz))\n",
    "            \n",
    "    \n",
    "    return composite"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "a275135f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-16T17:03:19.009430Z",
     "start_time": "2023-08-16T17:03:13.905578Z"
    },
    "execution": {
     "iopub.execute_input": "2024-07-19T15:28:40.742361Z",
     "iopub.status.busy": "2024-07-19T15:28:40.741542Z",
     "iopub.status.idle": "2024-07-19T15:28:41.296597Z",
     "shell.execute_reply": "2024-07-19T15:28:41.295640Z"
    },
    "papermill": {
     "duration": 0.579572,
     "end_time": "2024-07-19T15:28:41.306805",
     "exception": false,
     "start_time": "2024-07-19T15:28:40.727233",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
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      "image/png": 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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=736x352>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "__stitch_tiles(auto.mediocreatbest.g['observation__tiles'], size=32)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "fed9a65a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-16T17:03:19.018444Z",
     "start_time": "2023-08-16T17:03:19.012292Z"
    },
    "execution": {
     "iopub.execute_input": "2024-07-19T15:28:41.342693Z",
     "iopub.status.busy": "2024-07-19T15:28:41.342291Z",
     "iopub.status.idle": "2024-07-19T15:28:41.378126Z",
     "shell.execute_reply": "2024-07-19T15:28:41.377228Z"
    },
    "papermill": {
     "duration": 0.057109,
     "end_time": "2024-07-19T15:28:41.381082",
     "exception": false,
     "start_time": "2024-07-19T15:28:41.323973",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "@run(scope='observation', cond=False)\n",
    "def _(tiles, /):\n",
    "    \"\"\"Remove redundant pixels from tile data\"\"\"\n",
    "    \n",
    "    def Image(tile: Tile, /) -> auto.PIL.Image.Image:\n",
    "        image: bytes = tile.image\n",
    "        with auto.io.BytesIO(image) as f:\n",
    "            image = auto.PIL.Image.open(f)\n",
    "            image.load()\n",
    "        \n",
    "        return image\n",
    "    \n",
    "    tile = tiles[9]\n",
    "    image = Image(tile)\n",
    "    \n",
    "    image = auto.numpy.array(image)\n",
    "    assert len(image.shape) == 3 and image.shape[-1] == 4, \\\n",
    "        f\"\"\"Wrong shape: {image.shape=!r}\"\"\"\n",
    "    NR, NC, _ = image.shape\n",
    "\n",
    "    image = image[:NR, :NC, 0]\n",
    "    \n",
    "    auto.IPython.display.display(image)\n",
    "    \n",
    "    raise NotImplementedError"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "e289a888",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-16T17:03:51.344698Z",
     "start_time": "2023-08-16T17:03:19.020671Z"
    },
    "execution": {
     "iopub.execute_input": "2024-07-19T15:28:41.417810Z",
     "iopub.status.busy": "2024-07-19T15:28:41.417281Z",
     "iopub.status.idle": "2024-07-19T15:28:44.499560Z",
     "shell.execute_reply": "2024-07-19T15:28:44.498278Z"
    },
    "papermill": {
     "duration": 3.103927,
     "end_time": "2024-07-19T15:28:44.502988",
     "exception": false,
     "start_time": "2024-07-19T15:28:41.399061",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "points[0][[0, -1]]=ndarray(array([824832, 827647]), shape=(2,), dtype=dtype('int64'))\n",
      "points[1][[0, -1]]=ndarray(array([559104, 564991]), shape=(2,), dtype=dtype('int64'))\n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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",
      "image/png": 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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=256x256>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "  0%|          | 0/253 [00:00<?, ?it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
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     ]
    },
    {
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     "output_type": "stream",
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      "\r",
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     ]
    },
    {
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     "output_type": "stream",
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      "\r",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "\r",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "\r",
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     ]
    },
    {
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     "output_type": "stream",
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      "\r",
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     ]
    },
    {
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      "\r",
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     ]
    },
    {
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     "output_type": "stream",
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      "\r",
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     ]
    },
    {
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      "\r",
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     ]
    },
    {
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      "\r",
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     ]
    },
    {
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      "\r",
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     ]
    },
    {
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      "\r",
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     ]
    },
    {
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      "\r",
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     ]
    },
    {
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      "\r",
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     ]
    },
    {
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     "output_type": "stream",
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      "\r",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "\r",
      "100%|██████████| 253/253 [00:02<00:00, 102.98it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "@run(scope='observation')\n",
    "def interpolator(tiles, z, xs, ys, /):\n",
    "    res = 256\n",
    "    \n",
    "    # Thanks https://species.atlasofthesmokies.org/style.css\n",
    "    pinks = auto.numpy.array([\n",
    "        # Black, obviously.\n",
    "        # Represents 0-25%\n",
    "        [0, 0, 0],\n",
    "\n",
    "        #> #legend-pink-50 { background-color: #f069a3; }\n",
    "        # Represents 25-50%\n",
    "        [247, 105, 164],\n",
    "\n",
    "        #> #legend-pink-75 { background-color: #c31d8e; }\n",
    "        # Represents 50-75%\n",
    "        [196, 28, 142],\n",
    "\n",
    "        #> #legend-pink-100 { background-color: #752879; }\n",
    "        # Represents 75-100%\n",
    "        [121, 0, 124],\n",
    "    ], dtype=auto.numpy.uint8)\n",
    "    \n",
    "    @auto.mediocreatbest.coroutine\n",
    "    def display():\n",
    "        handle = auto.IPython.display.display(None, display_id=True)\n",
    "        \n",
    "        while True:\n",
    "            obj = yield\n",
    "            handle.update(obj)\n",
    "        \n",
    "    @auto.mediocreatbest.coroutine  # (call=lambda gen: lambda *, z, x, y: gen.send((z, x, y)))\n",
    "    def category() -> Generator[Optional[auto.numpy.ndarray], tuple[float, float, float], None]:\n",
    "        category = None\n",
    "        while True:\n",
    "            coord = yield category\n",
    "            \n",
    "            for tile in tiles:\n",
    "                if tile.coord == coord:\n",
    "                    break\n",
    "            \n",
    "            else:\n",
    "#                 print(f'No tile found: {coord=!r}')\n",
    "                category = None\n",
    "                continue\n",
    "\n",
    "#             (exists,) ,= db(r'''\n",
    "#                 SELECT EXISTS(SELECT 1 FROM tiles WHERE zoom_level = :z AND tile_column = :x AND tile_row = :y)\n",
    "#             ''', z=z, x=x, y=y)\n",
    "\n",
    "#             if not exists:\n",
    "#                 category = None\n",
    "#                 continue\n",
    "\n",
    "#             (image,) ,= db(r'''\n",
    "#                 SELECT tile_data FROM tiles WHERE zoom_level = :z AND tile_column = :x AND tile_row = :y\n",
    "#             ''', z=z, x=x, y=y)\n",
    "\n",
    "            with auto.io.BytesIO(tile.image) as f:\n",
    "                image = auto.PIL.Image.open(f)\n",
    "                image.load()\n",
    "            \n",
    "            image = image.convert('RGB')\n",
    "            image = yield image\n",
    "\n",
    "            rgb = auto.numpy.array(image)\n",
    "\n",
    "            assert rgb.shape == (res, res, 3), \\\n",
    "                f\"\"\"Wrong shape for observation tile image: {rgb.shape=!r}\"\"\"\n",
    "\n",
    "            rgb = rgb.reshape((res*res, 3))\n",
    "\n",
    "            diffs = auto.numpy.subtract(rgb[:, None, :], pinks[None, :, :], dtype=auto.numpy.float32)\n",
    "            assert diffs.shape == (res*res, len(pinks), 3)\n",
    "\n",
    "            dists = auto.numpy.linalg.norm(diffs, axis=-1)\n",
    "            assert dists.shape == (res*res, len(pinks))\n",
    "\n",
    "            category = auto.numpy.argmin(dists, axis=-1)\n",
    "            assert category.shape == (res*res,), \\\n",
    "                f\"\"\"Wrong shape: {category.shape=!r}\"\"\"\n",
    "\n",
    "            category = category.astype(auto.numpy.uint8)\n",
    "            category = category.reshape((res, res))\n",
    "\n",
    "    @auto.mediocreatbest.coroutine\n",
    "    def debounce(coroutine, /, *, rate: 'item/seconds'):\n",
    "        def now() -> 'seconds':\n",
    "            return auto.time.clock_gettime(auto.time.CLOCK_MONOTONIC)\n",
    "        \n",
    "        prev = float('-inf')\n",
    "        while True:\n",
    "            value = yield\n",
    "            if (curr := now()) - prev > 1.0 / rate:\n",
    "                prev = curr\n",
    "                coroutine.send(value)\n",
    "    \n",
    "    dz = int(auto.math.log2(res))\n",
    "    # assert z + dz == Tixel.z\n",
    "    points = (\n",
    "        auto.numpy.arange(\n",
    "            (min(ys) + 0) * 2 ** dz,\n",
    "            (max(ys) + 1) * 2 ** dz,\n",
    "        ),\n",
    "        auto.numpy.arange(\n",
    "            (min(xs) + 0) * 2 ** dz,\n",
    "            (max(xs) + 1) * 2 ** dz,\n",
    "        ),\n",
    "    )\n",
    "    print(f'{points[0][[0, -1]]=!r}')\n",
    "    print(f'{points[1][[0, -1]]=!r}')\n",
    "\n",
    "    og = z\n",
    "    z += dz\n",
    "    if z < Tixel.z:\n",
    "        dz = Tixel.z - z\n",
    "        print(f'{dz=!r}')\n",
    "        points = (\n",
    "            points[0] * 2 ** dz,\n",
    "            points[1] * 2 ** dz,\n",
    "        )\n",
    "        z += dz\n",
    "        print(f'{z=!r}')\n",
    "        \n",
    "        print(f'{points[0][0]=!r}')\n",
    "        print(f'{points[0][-1]=!r}')\n",
    "    \n",
    "    assert z == Tixel.z\n",
    "    \n",
    "    \n",
    "    values = auto.numpy.zeros(\n",
    "        shape=(\n",
    "            len(ys)*res,\n",
    "            len(xs)*res,\n",
    "        ),\n",
    "        dtype=auto.numpy.uint8,\n",
    "    )\n",
    "\n",
    "    \n",
    "    \n",
    "    with auto.contextlib.ExitStack() as stack:\n",
    "        category = stack.enter_context( auto.contextlib.closing(category()) )\n",
    "        display = stack.enter_context( auto.contextlib.closing(display()) )\n",
    "        display = stack.enter_context(auto.contextlib.closing( debounce(display, rate=1) ))\n",
    "        \n",
    "        for (yi, y), (xi, x) in auto.tqdm.tqdm(auto.itertools.product(\n",
    "            enumerate(ys),\n",
    "            enumerate(xs),\n",
    "        ), total=len(ys)*len(xs)):\n",
    "            image = category.send(Coord(\n",
    "                z=og,\n",
    "                # z=z,\n",
    "                x=x,\n",
    "                y=y,\n",
    "            ))\n",
    "\n",
    "            if image is None:\n",
    "                continue\n",
    "            \n",
    "            display.send(image)\n",
    "            \n",
    "            src = category.send(image)\n",
    "                \n",
    "            values[\n",
    "                slice(\n",
    "                    (yi + 0) * res,\n",
    "                    (yi + 1) * res,\n",
    "                ),\n",
    "                slice(\n",
    "                    (xi + 0) * res,\n",
    "                    (xi + 1) * res,\n",
    "                ),\n",
    "            ] = src\n",
    "    \n",
    "    return auto.scipy.interpolate.RegularGridInterpolator(\n",
    "        points=points,\n",
    "        values=values,\n",
    "        method='nearest',\n",
    "        bounds_error=False,\n",
    "        fill_value=0,\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "1b7666df",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-16T17:03:51.353542Z",
     "start_time": "2023-08-16T17:03:51.347943Z"
    },
    "execution": {
     "iopub.execute_input": "2024-07-19T15:28:44.542544Z",
     "iopub.status.busy": "2024-07-19T15:28:44.542145Z",
     "iopub.status.idle": "2024-07-19T15:28:44.549526Z",
     "shell.execute_reply": "2024-07-19T15:28:44.548641Z"
    },
    "papermill": {
     "duration": 0.030365,
     "end_time": "2024-07-19T15:28:44.552656",
     "exception": false,
     "start_time": "2024-07-19T15:28:44.522291",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ndarray(array([824832., 827647.]), shape=(2,), dtype=dtype('float64'))"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "auto.mediocreatbest.g['observation__interpolator'].grid[0][[0, -1]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "a56d5578",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-16T17:03:51.375469Z",
     "start_time": "2023-08-16T17:03:51.355668Z"
    },
    "execution": {
     "iopub.execute_input": "2024-07-19T15:28:44.593243Z",
     "iopub.status.busy": "2024-07-19T15:28:44.592878Z",
     "iopub.status.idle": "2024-07-19T15:28:44.618112Z",
     "shell.execute_reply": "2024-07-19T15:28:44.617214Z"
    },
    "papermill": {
     "duration": 0.048607,
     "end_time": "2024-07-19T15:28:44.621200",
     "exception": false,
     "start_time": "2024-07-19T15:28:44.572593",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "len(arr)=2816\n",
      "len(arr)=256\n",
      "ndarray(array([..., 827637.]), shape=(256,), dtype=dtype('float64'))\n",
      "len(arr)=5888\n",
      "len(arr)=256\n",
      "ndarray(array([..., 564969.]), shape=(256,), dtype=dtype('float64'))\n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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ADjvu4rpLGBvElxIy3DQ229IHjaXnYBGHxg4G4qg789M846G0tPsssQ824VrgiLepDfKCrKQFK8bS2ccZLeuTQ8Q/NqtjHZRSTs+77TO7h3kYrlcEnOCCD7kYHQCq0QYGVRbXE0iEpJCkecoVKvkYz/EOnp36Vs2yWl3BbWsMCmeMF5GbJXawAIxuwTk5yMHGB1XFWlnjbRZrmX57cIwQht8mM4O4gjJJHKg9se1Z+r+INThlVdILRSFARIWUEbl4xngcsM5yMA/jw0mrW147S6krGZYvIX7MoBHUZ3EkMNvHT0x3Jx0upkn84Owc/eIJXd9cYp6XMkNyJjhmDeYqlty5OCQQc5BHBB/Gi5mLqqoQsLnzBGGzhuhzgDnjPtniq1FKqlmCjGSccnA/OpIYi88KMr7ZGAGOCRnHGeKRJGgctGyklCpO3PDLgjkehI/lTWRkVGYYDjcvuMkfzBpyQSyxSyJGzJEA0jAcKCQBn8SK6H95J4V06JQm37bLHwSvmDC4Y452gyEcjvjIrf1XTbo2saK5lSKBzvSMkyKAWJ6hSNx9OcDoG54WSB3tDc790SOsS9OAdxGQD8v3T9eTVWiiirFijvf26xtGr+YuDIcKDnv/APW5rumto202SSDzoEtUMcf7syAk45zjqBs+uPXoks9va20SpGsUksShHSMnaScIQyngEFWHPU44yRTvGuiFtAs7uJvNksh5UpABJTpkt1O1hjGD94k4wc+eVf0jR73XLw2lhGJJghfaWxkDt9SSAPr6c16R4h0K38P+ELOG6Rob2S3WO4YfOqNsA25zgHdjJyOD6Zqr4KjubK4jsNYj2h4w0AMeGUZVjubaTxzgckFT/dAO/q10t/PEIbR9kACgzEhduCTv4AABCnBAz6c5NZYmhWW0R40COrySJGpcvn92PugAZOcZPpkVmwWA/tB4HkiMiEk7FLKvDHAU8tj5e/XPBFRaNqM2l/Z7a5iRmKBYohJlnAUhc4AJPIwDkAdjxVq7u7aOYSR3KPZxgyLBzGIyDyQRg5ywxngDdj7uDzXiGQacn2aKdbaXy0KxhDnGwZHfHJODx6Vy9y8gihgkyDGCcbgQM9sAcHjkHvz3qAlSi4GGGQeOvv1/zgUbgVww6DC4wO/f17/5FIVIAPHIzwaFALAFgoJ6noKSl42jg7s8nPGP85pyRllZudqjkjkj049M4GfelnXZMybNhT5WXOeRwf1zUkkM0uotASrTvKUJyACxOOpwBzVvTAG3o0ziR02Roo3hlJO5SO3T1HXNb3hKKaPU9PkkGVspJJAvmjYSVU88kbSM5x2Hr129dt5GuriNYDKjxJjGMbCGKgEchdpLdOhyM9Tzl3pxj8KJbW6yyXAuVd0VByuxznAyeOhOcdK5dlKsVOMg44OR+dJRSqpdgqglicAAck13mk6CtlpdnPLuOoXQJjgQMWj3YUZweMoHJJGPmAOCuKbqF3e2V3DbQWuwTzudhJZsR5GeDwpBOc5GMjnBzbukmUTytBHCZCEhhIZRAeDj1KKpUdjjkDsNmyka305xNPFdREhgr8ARjqQCcnkbR05GeM15v4l0pdH1ue3jx5DHzIcHPyknjqTwQV554rqPhyLfS/M16aZgwl+zKnl7gB8rE47/AKYwe5GOu8UXk99eQoIZLhmLNxIY9qAHgAH5vQqCTgn1zVLXJhpUmm38EgAmfyQpGU8vGflPQbtgXjuM9uYrye3nuV8+RVtmQ7WgLENlweR2IGCffBOeBTtb1Vbj93Y2bW9qkazNI8QEhIyTJnkqMk98cZ7mscauiebMBnaP3paMlHC/eLAnltwPQZ4zkbsFkmtWaoXkvre3vEKKzGLepKjgqqgsuNvI6c9e1VNVj861Nqo5CCdJgm9H6cZXIYZXpz16dhz1xcwXOn20UAZri3djmTksgQdvugDaeOc/nmlKxFsI1JKK2HGc4YZxg9McsRj1PXANV2UqcMCDgHkdjSUUqqWOBjoTycUFSACQQGGRkdRQCAD8oOR1PatnS9Hnu7u2eeWO3t5zud/lOEDDnZ3GccYPrjGKfZpNaa7Z3168h865dWdOGZgcFlz1GT19QfStu907TLjVbu8t1uC/miVlc4VxIPmHOM7TnIBOQ3fFc/qE6W2sSXVvIrSH5zvJbLNgkg98g9z6+1dJo+sSxJJIEMfmy5ADuWZQFGQCAAuSDnB5Jzxwbt88dv4eM8Z+03T3LEB8LIwwSR78YPf86Xw6s0GoymaebZcoF3yNvKh2wynrublsA4z3JANcHrMflazeRmNomErb4m6xvn5kz32nIz3xmqNFT2cVxNdxraqWmB3KBjsM559MZrt4bxr21t4rsyOyWwt5GLE4UAoVz8uSME9SOQMmmyN5+qw3iyWtnGBJbwWwgOCMYc5wP4WXkZ56AjNdPLp5vZPPt7ZvJBCr5zHMR3FiGJyGJ5HQ984wQbcWn3d6iLA6LMZdoQt5YAVyQFynI44J9sZBOczxL4Vk1m0tbS3Ea6iryOkdxPtdvlOUzyC2QnU8YAJHNXPC+gSaHZW1veny1BE0oibLmX5Wz1wMYUAg4OM+1LIRJrUsEahwYgZAecE4UkA8Z2kdj0x3NYeu6jFPpkUYiEsNo2Yy7nhV7gAjnHIPAySOmcuSdv8ASH86by9jRwiQ/LtwFx164xwB15Pc1lS3W28ADyK2MsEAVSGO3BPbqeB6H6VhQv8AZLJQJJEtHk8qVgP9aDndkZP91QCCe568DJuphPOzgyN23SEEkDgZx7Yq5FqVwbSztRMmIZXMRcY8rdjPzehJJx7VG9tFLcvHCVRA5SInLGUgAYB6cnB7Y3VXuAqERCPY6ZWTJyS2ee+Pyx+PWo2BPz7NqsTjGcfQfmKbRViSCNLKGZZcyOW3oRjaOxHrnB5Hp27kNu7wSTiPzETKlQeRkHDcdhUltCk8RhZJBMQzwlVzuwOQfX7uBjuTVzRJ2juXs3aRGlO1Mg7YpMEb2HPTPOFJxn8es12/a8u7e9nEcrTTyyq0akuFwUyVUkD7iqfcZI5BqraOzJLfNclIIXZPlQrjaWO8Zwc7QMDjnIHOcYVjbS6jciTyHa3RvMlbYGTJ6BiMZPPfucbQM10tzqFpcyQfclkt4vLeV0z+8Cs33gAck8ELjLED0NYrXV7JeRvLCVMKl9kB+Ydtpww3fL1x/eGepB37vUl03RpLtluT5sqxuG6SHa2SCRjnLDODjDc84PnUkjyyNJI7O7kszMckk9STTaKsWN3JY3kdxE21lyCdu7ggg8fQmtG31Ui5kuTOIWKeREg3Hy0PoMYxzn35454vWt1HeXd3IAp2xlTCVB3e+RnOcAHA9OuBXodnd20sk5kndEkJihXvuCqMkg/NyV5znAODWldastm926kwyebuRItu8IDzt7468jHAPsaz49QhFxNdQlwzAyI6xMTI5IBOTgk7gvAx659JLi8+12f2VmkmVE8lHLkFlxkfNjGSTjnqCOoIByZ9WNvHdSubcXu1p5ido8ohtmABz93OAAc85wOThhojoFnIquSUWPZDuOMqDjJPy9/x3HPSsezEhtXPkF7RW3bNuTLx1VSAApOGwO4I71LeXcs9jItu8WZAgEZKuW+fHPJXGdvr0/KjLp91exwRRW0kirEJzLAokBjJIZyF6AbcAcEBTnGOM2+t47SRbYZMqDMj54JIBAA9B6+9NtoA0itMjiMqzKccNtGT/I9PpxnIPOvDak+fJ5IPllfM46dMZ6YBqtRRSlSADxyM8Gr9/Il9crKgWEeQMbyfn2DaO2ASFHA47D0q5pKNN5EMtwyxMGOwPg4BypUeu4Nk9QB9KS50O4tZ7q4tBIbe0iScSyRn5iSoIBxgkMT6DCNVzTF1PWdZe70aGY3EVttbL5d28sjjGMnjgdML0PSqEFxbG2jWPc00Tosfm8n7zHjGcDJyQAO/JzTZL6H+xjaJGxOxA0ioApbOTn3wAM99v4lbG9uBawoATFBKCViYB2BPpnJGWHGOfUV0kcsdw8EsMipcNGsUXlKm8qnIVTyAQQoyAePXAqS2srWW9ECrJNN5CeaoGPOL9ck5+6QQOANoPTpWd4lb7P4ftrGRXDLcsUyg6AHcSd5IJLqdvPucg55Giinom5kywCs23ORkfmffviul1zSYNOkuILdkWzYGVJBMTuG3AQ5ADHcpPGccjrUWmW5SzdofPFwImYxogJDKJAM9MjI6ckYHXFdd4TvpYrSSO6lyVPziSX7uFLMVUA45I478kcYFc5ceIbq71W7vdzx2UZbbHKAhZsfcPPBIGDjt781Y0t9Y1e6+3ySo0MiFG2dCxOAGBHqMA9AQOR36KW7sLaBLp4HmmkRUEeDKodiSSc5wAeTzkBuQCRmpK7toaxqzKhLxuY+Ad2MbsjDcBvwxn0JqKiDRIYdy3P2iN2WPeV4wNy8H+8V+hHvXOwRGKR1klRXkiZGWPEeGGAmCAcAbhjPPI/CtfX9vayuADPHOoIRHKoB8wY5BOSTnsPXrQiTSW7SRtKsFtJv86Mkh5CNm7nC/wbjz0LZJzxgOshLO2WyQWbOeTzyfWnG4lMcUZYFIiSgKggZOT9fxp00csEaIzJscCQBWBPIBGe/Q9/fFMQI3lqI5Gcvztb7w4wAMcHrzz1HHHM4spJtSayhaF3Vim9H+RtvVgT1BwT79h2okgW3MqFi0iEgnyjwOQD82ODleSM/THKbHurd5SyvKhJcks0jDA69sDHX357Vv60LUwxxCOPz0tvKiXJO1F3MW69ev/wCrNUtOWfTbCS7BXfcAJFGyk7jnPTHXjgj1963bebUF069hvFkLNA1xC4kDAMgEecY4XJB6Y9SApxUhs4P+EMudWUpFdtM3lGSb7qkndtJ5MhwBjk4GeOTWFse7EiQRo88al2WPBXaEJdlHQYAycZ6ZGAKq3MiO67CCNoJAUjacAYBJJIGP8KfZNJb3MFyu1VDkZY4HA+Yfkf145rcMvm6h9p09hHNbg5mChkj6tuJwVwTxng5JznpWppPnW0xu722DC5gWRFDYjdgxCNtxkjbk8n+LGPTmNavhe3SiNXjjQElDwA5OWO3ACnoD/u1mUUVd0qM3GqWdsZzCskyrv8zYF3EA/Nzt+v513Xi+KJDp1tE0m4S4VAhXbHuBIyB1yuc5HC9+SdnRdBtrjS7a9MckkcjhzBEykyFiAeQcBscg99mOTk1xut6TcWeoQWqzSQwqwjEgcFUbawA69SFx1x1IzuzVOy8PSXd0Rd3MiW6uxd9pJ643Y564H5jnnjt/sgstP8pk3TpHtCKAFRc7wORhgNrdPp9KkF3cwTSRNvh85G2bukTcAAFuc8FN3HGenSp7hIhFbC4ZbecxNhmiPLAADIOScDb225J69DyV9rnlvP5bJKXATzhl9hJ3FvQtxx1/i+lZE11JcQWy5jYKi2/lxDDuAQ3p9B35BxxViK0jSZ2ijh8wzFI4roEAjjkZx2ZeDk8ZHpVu4WPTbN5bj7PcTsxikt3OQXyS5O3DA8rxx06nArAEckpDkkmRiATklmGDj1zyPzqxfRWq7ZLYSJuVSY3IOCRng8HH1HpzyMtnWGZImt/MaTPlsrHJOAApA6846c46elWbC5gsrRpVRpL4kmHao/cgc7yeTnI6YGMZzzznRyGJtygbsYBPb/H059a0obVtZimNvBHHNaw+bIfNIDRrheAfT5e/qemSMzGI9xVuTgN246j9RWrEk8+nXCXLusSjz1VMfM20YyB2AYdBgZ6ipdLFzPFEpmiMeWVDI2CrqAyqWYgKuVGTkADOecVrarpU2iaVdxXsQnvrp1id1boykkqDnkZZQQBjMY98Y1vqUw0C70wyGWBWEgzD5gjwcAqTjYCWOT6leOTV/RLG3lefUGASGUSKtuc52sSpCsOnBPJx0xgg8Y+r3UV3crLEy7ACigbsgAnGd319SeOcdKjtzJKVgjMvkpJ5hdFOVyQoYgZ6HH54zzXWI62kDGRQjzxf65nAWFUbYiFeeqhD9/navUjJJi+oytEs6I6gu0T4CpuyyjjkYPI288dyQaxtZ8O6vpFvNdapYmBppRtbzI2Ug7icYJJ5AwR2BrAoorqNL0Vre/trhog4RiVLqSj42tubqRhXHy46qeeDW1Fpaavrd1ayyR4itjHEm0x4kKEMc88gAnBxnK8V0Wg363NwlgoEIEW5pWUsARgZPPPAPGR2A7Zhv103VGt7e6UmOKZkZGgwfldQ3yn5i2Qy8csd2eM0JEv2lTdCaZWUlUc5BkXg5A5OAAucHPJ6Vl6vqk7SzRSJNFalwUZ4yd56/KTuGO3ynvwBkZzNQuUhTzWdhwoJZySAMDIAxkAkcenHNV73UJrq1Dyn7S0wCSGEEuBsXJCnk8EcnHUdTmszU7a2i1CO186NUlQM8wxtBxgDauBkYIPuTms5N1u0To6OrMfL3krjp83Xj0znscHgGtu6+1Wry3eABcqskCghwCQANpHDN2OMdzg4IGdqc9zPE7tevNHvRZUDAIGwxUqAcEcyYwBjJzjPNBpnkXcwjLAnLEDc2Rjn16dfU56motpKlsHaDgnHGf8AINLGFMihzhcjJzjj8j/KnB2cxhtrCMcKxwMZJx29T705zi2iBC85IOzBHJ7/AMQ+voRx30dNgmj1S2tCsOLgorqzYEis2MbgCec4yv17GtDVdNtLGOHT1uPOkuPKdHRCqoT8pOM/NnaeecHjg5zDBps6yNHcPcQw2qlomGEJBOC249u+OuD3HW3e3K273ChRtZCWUqT5pIwR0+UbATu9QPQ1Z8WziTw9p0V1P5lzCdkKqo2qhG5ju5z95RtyCOnauQtBE13Cs4/dFwG+bHH1rXiF5f3CWtrKFghXy3feCrBc/MR7jt398UzVI4BFbZto7c7PMYvMzTSAk8NxjOQ3OPTOOBVa2u/s0QWHezOyKJJFUAAfMygtnbhiDn6HjpWu+uzbYYFuUPlqJlkMnAc54QfwnLYyegzkHu7UZJLa2nuJWeEXBLxAMA0jHOHBHJU8EnsRjnOKj8Ya2NXuoHguWkhcPI67jguJZFViPXYE6gcH3JPM0U+JzHMjhipVgdwGSPfHeurtdQnv57eygR3tJDyzMCfLABdDnoM92yOSe9dXYB20571NqrLHhQkKlVjwW+YHnpyM9crknPDba1nuwTdsslpbwQrAGJDSOQQwYAAEHfypwCFXPBq+9pGbp57pSHUPDG787lYZYkkjjC7vlwByBySKzpLhi8l3H9pih2MsLzOW3v8AhnGAzAe4+tYkl1Drs5gnnMTK6FDsaXcxO3Y0eeeFB5+YY9qkh0HURqxe/aFnkAiiXaxUnpnoABlVAZmGMpwRwKOqafNBcx2dmwSMIqrLAy+Wo5LfOeSx2525BOCeay57eJteWO33JInlsm/5i/RiWPGDg5I7kHoa2NNtrFbQxJaEi5lX5XILMAW+UdQc5yMegPNM8QXAijaG2bzI7KNI/PEgBbzNzdyTuBx0w2A+cgnHPadHf3CvDaRtIn3XAfauGI+8cjg7QOePxxVaGE3MiKZQGdggZzkKoHJOOQAMdugPpVuHTY2iuTLcxRbEO1pAwUsCD8pAIOV6fXp3qCG3ku5HaRwEji3M4IOAF4AGRk4HTrwfQ0z7NM1j9oUM0CPtbkfKx9s56Ac49B6Ug86FdzxEoU2jzEyAGzgjPTuRj3rSt7lLq+tZ5MnyIBvJYcMCcZLcHOR+fXir11cWaLpd8kCi5ii8t4m4UyAgAnIwvO/jGPkqrYalM2sTk2xZ5jgxb9mNoPGSDzgY/wA8al9eWV4sN1HI0awGNXETja64BJYf7yqcHHQ9TjPM6ld/bL55eNuAq4zggDGQD0zyce9VK6a0vhd2lrCjQiZ3bzsqu5xnJB45GNxHHUnnPWzNazeIJJ9UvViQMFjgjG4bE2EKcDI9DgsPuntweduFSC1tJIigeeFvMVWJ43FeQeh+XPX0PFM06YwajbyecsIWRWLtu2jBB5C8nkDpU+uPDJq8rQKirtRSqDCqwRQwHA4DA9selZ1FFPijMsyRjOXYLx15rprS5XS7K4sZWxKYGj80LlQhkbcQCBwcL16jjGTXefYJVsbSK2MYgEap5BXcpO4tuyDjBwoxyBzgnIFTxGSWb7K0BcYADCZyhbc3yliMYA6kn2xxiql9qUiSsZLVhC7kKknKEZYgsCMqOABxnud2Ky9UvJLuMK7Ry7wjo6ErtRsn88MOh7DnvWHaabJLFLfpC1vZIgnEsIZQ4UfMCMcjI9O+fWrGj6k63S3G9d8RxtikxkjqysDnkMv0qhqDy3t95MUqQBmMsQfJUuhOPujbkfN2/iAIGOMiRgL+GRtiCUrt3jGyPgIeMcgDqGzxz3zc0t05u76UQRROrEEPmRiuAVAOCcfMc9fcE0mpz2Ye4Q27SESYYiQ8krwc8jjBGCPp3FLp11Bpd3bSiOPmWMsJFJYEPlgWOACMA9O469ax7a5+zzQu0UcqRyrIUdAQ+OxPXB9KvLFDevDFaKFeMF3Vdzg88kK3UBVzjkngY4OKCSvAzowYcMrKDtPIxz34OOPapUt5I7H7UXjMTsyeX5g3EgYzt9t31549aS42yTAytIkgAEm4793QZB75HPp6HmpdOQQ6iUuXjjRCRKJOQRnBGO+OvfpwD0rUQWV9pWqTLGiJaWyLAj7sqxkXLYHHIJGck5AzwTjO01d0xuXZlKEl5TJgc8YPBIyT19M+lbSRT3KFTgo0PkeaR1ABGVXJwD8mMYBC9BxnlGUqxU4yDjg5H50lWrKRFdkdY/m6u7EYUcsBj16fp3rs9NL3Cj7PIsbpG8cbqqggMGIjwpycjA9CCOuRXE5dmNpFKGiaX5SxCqT0B56de/49KSAx7ZhJIyAxnG1c7jkEDqPzP5E4qGiiipbZ447hHkDlAedhww9wfUdfwrtdVtnFtYNbMFumikklSLL4zyGOO37rHQdOc9K0DfXT+TMljILbasQRUMrl9qlvug9lxnGCM8dc6Mt87RxNcmSOMBQklomABt/1auccbsnGOpxjjJoyRxrNkzfMQxOyQHCdAByecZ4zyMDOTWPLE8M0Ijk8xZgVmzIy4Y85XOTwAeBjr6DNTavJPY6bcJbSyKhKTbFiVcnbwx69mJx9TnLGq2m2ym3upbnIvZItm4qRhtw6HgngnvjjjoKbpU1vBp0tlfIEkYFhIjkbSRKCODt2/KMrjHXIPFYd3L9tvZLeOTdGTmD5txPUqpZiM9e/Q8AdqfFALxFmaNxa20G4pvxvYDnA7AkHkdcHvTZmnl09bKMGUhlnkIUl2LKSPXIG48+rdOSSG6uL+1t9JSIFlmZlWFQcsR257nOew7VNBZXc9qtuXFqtszs7vtA3AZXkDdnnqcjGOe1VVW804x6gsSFWY7Zdny87hjGABkZI46dMYp8UdtNYSJO6xXMCBIwxxkl2JBzjHYeg3Ek8cQsJXuLBYBGHKIIsN/FuPUtx97PtU1zJPdahaRyJOJIYkUgN8/A3Ej0PJP8A9etOS0W98Qq0NzGplQyO0ZG9QF+baOBypyPpxWxpGmW99fyWS2X7qVH80DKlgqE/JyFHKg/VB6g1Q1Ke1sdZex0mMLbgqUlkVmaRWKhSwOGBCkcHA64HINP86O+RVhvGMy4DFZgSQrYzjHHGO3PTOKwtf0+Swu4jPG0Us8SymMw+WACByAOOTnIHQgjqDWTTo3MciuOqkEckfyrek1SKLSUW1XyiXkVSuUcLjG0svXG7ODxyc5PJwpVRJCqSCRQB8wBAJxz1plFFFFKrFGDKSGByCDyDXpHheSXUtXurwMwiljALJGEG0EqBuA5zt6cEDoagnuUjD2/74xSvudZQVUt8rB856lsHv+PNWoYrB7Sxe5lH7qeTzN0hwnI43dgFbdjp8x5HFVrorfQyajCceZLtTyyzKM/eOc7SfrnqTiqwhnNqzyQm1kLExRlsFgRw/AIwST68881DYgzz21zceTlGkUJJzuUhTvG08DkDjPcc1aUBSkMXlxo78Ifx4BJ4A/kPbjnb+xk+zT3F28ZumJKIncAryO5wAfXg54OadYaTOjibK7R91Xi5IbKkMCQeB25Hpmpri2mVnUTvvlSR/Ldsb/kxtwAdzdPQemBnGOly0Nm8RLLJ0XjkowOQcjp3A45bNWdMEhkN0vkl0JVF4UlyDgYyBg7if+A4FNE8tzcQySFIXjGF2Ag7PvHgEYUKT05Pv1E1zc34huIZIwUZ3ZzIRwOwAycY4I57r6jOfvENuFVnScP86kcjHQ57EdPXrzzinQwJPcRbSgQt8/3iB3x69OAM5JB5rTaOWHVm1CaSNRJI4Td0ViDtDD+EYI+g9K04PJj0+UW7rK8z4eQoF3Zk4w4xzkEZHb1BwXaGZp9Tv9Q/cC3S0lAzvXzPlIQ8A5bJA9u47HmpHgnvopZGVIGIJQ8lVHUfKPqB3wB0GK6K0ktrjTGK2cafZoZJFDIcuvJA79VHJ6Hnk81h67aNb6jLIV2iSRs5Zc7+Cw2j7v3hwRWXRUnm4t/KAxl9zHPXjA/LJ/OmyFWkZkXYpJIXOcD0zTaKKKKK7jw+sk1hZW0Ug8tzm5ZW2qiBicEYHzYVjnkcE9uXiAweYixrG4+UEgk/8C79Se/86SONbhbqR5x5cTosYikyQ5VvvBecAgYBGM9TgEVo6etpFp1zNFYRqIYtyRqhC4IO4sW74B5Yg+hyBiKXdcxTpK5OYsjJLpn1YZPXcfxbtzVSGE211JKBIUkQhVkwVxyoPqWAH3u5+mBDNfSPq0koMpCy7GRDnO9T8zYAwPm+nHSlVDdtHK0KARMWV/NwcdAVx1BzyP51DPfCCGS38wQiFVy4TcqFumFGcdO/t1qlq0CWCx3lqsguBwzkZHJOWPGATkDn8PbItykNzB9rVWRCCVYk/KwyPbAznHv+Wtc6NvsrGCK9jlbLFV4UkEjpnAxjJ6n8O16w85YS10phdGVGJbKhAoA5OflA54J6H6VTvLa6vZt4jSNojt+aUsFY4wV28jgKeeOenU1LeXtne3ELovnnz1jZpTvZlcDBJPUgIBnr1HpjFu7sTTbYrVLeTzd7MW+cP/vHGB7VrW92081xLZouSQvIL5VdqqAONvHTPoeQBVyeKVraKOcxbS++ZiGIwDuwM9uMZJx/KpZ55EtGt7V0htbkiGOQjBXkvhW2/NnI9PugAjtm3OmRw2sNvG0aO827zGX5WbB2rgk+uPwPc4Nt9QjEEvnO0ah4meNmCM670JCgrkgYPOAc+oyBhazKJrrzTZS2zyEv+8J+ZOAuARxjae5/Ss2ilVirBhjIOeRkflSUUUUUUV1uj6rHHpxihhVPIClJG43Ej94G65G4jnoBjgZNaFlDGbVJVWTbcAyI7SAKvVyCPXnGBzyOorRtrny9PlsJ4XaTd5hKggbhjIK5zjg9+Pwqrd3UrxRnA3POyzqoHy7chf8AaJyeSfU9cZqGzLPcNKJSihDG+1SyqTwTn05xkD16kACSS5YWsiuxYABl3SEKpAxz2xjj2wPoeZsNQuJFmeYbi2FD/MMnIBGFHXGPmxkcDuK2okR7QrgNFlUSNQeFBwdxJ9hkY9Rz3SO3F1DNbtb/ACXCKOFCkvuzuA6g8L1zwcetV9VliCBJFnfCGTZGvytjH3jjtnPp69qoXllcXqKbSKORET/WGaMsRxgAA8YII49G96t3uhiTUbcQywfZYkCs0ZB24yQCp5yT6gjkEnmrkdvqU08EN1bRwyF1ZD5gw3bA55z1GDjB5JAIOjdafZxXHniR5mVTsydoD+X03KCCMt056sMjgnPvdPjktrxHlkAVC6QbNuZArZHAJPzEHB646jpXOWlpPPdCZI41jjBaQmQCPAOCM/TjHJI56Vp6bAyaf9mEbulxK0e5Ty5OFygx8wyD/wB8k+w3r6Jbloo/Ktw6s5MO0rjCDPJ64UPxjrn1qhBaJbDb5kQSS43MGj2qgwAuMdTkDt+tcrc6hcXKp5spdgDztClc8EDHUEY6/wD67OlagsV+VuAotbiM28igcKhIPHI6EA9fXPWql5eyXrRNKkavGmwsi7d/zE5I6Z5xwBnGTzkmtRRRRRRRRRTlkdFdVdlDjawBxuGQcH15AP4V6ZY2WoxaTbQtGJIWIZ5ZSB1A3HnOAADhiM/nWSxZLueCSQo24onzoeQMNt75BznOelAMt5ZpHeF2/dKjZYg5HUew+nBz6Vq6jpkOl6S7yyqZWKhl4j8sEjc/DdySM56568Z5q9vAjlC5kjYMnlM6IGOSDknkAcjPcj8SzTbRjfC5ghjMchxtVd3sWB6IATyMkYDHJAFdOl5Jb2r24RBGxDFJFJJJAO70xwDj371nyfZI5oyuI3kLFhjcSSei85x9zJOcAewqp4ginGmwOsiyRSyNFFsPJ2hs4J9ScY4J5HeodIaeJri9NnthEZXdGu8eaFygGfQ7WXaRxjk0WMcn27fNBuebnEL5Z2G3KBjyDlTxyOT6V0MhkbVzHG8gk3YjdAq/JwowcgZIIwB1GTxirljDD/ZMxKJJPKrlQW4GMADH97Lccd+vNYd4zXV9ulMjLNCpxIdpGFTBx1znJzx1Ge2KbQRw3luEik2XZLzO8Z24bcACAvQEDOckZPqcW9HW5Op20nmrNJGchJDsUkjgN7jI/h/u4Gcg7c8s92sYgiD+aGAbcdy52jGdvzHCsCTjjPJwaxPGdzFb2lvEkqi5aOMeUqbGjIw7EgdPmPHTPPTFcNI7SyNI5yzEsT6k02iiiiiiiiiiinxGMTIZVLRhhuA6kd69UfWbPVdNj+yysturrH5hT5gcYOQpGPlzxjnPA4rHvwJrRxJBGsifvjKYyW+7kscfMTgZBzxz2xhXRrqawtwQpZ2QYwpOCGJBJ5PABHpt5q7cS232xUMv2yW4j3zh49ylcE7RwdpxkHHAOOelYOpRwNAQ0MbKgBPy/wCrXhcgAgjpnjrtPc5q9aTlFkt7Zo0toMARKxYfeLYOeuGJ4O4884xzLcShY4IpJBE4K8PG3CM2A2e4J3DjpjOOeUW2UXRadJ7ffGEUypyoPVgOCOpPI6qAQafeWlpdy20V3dBVDFUAVWSMHABY8AnJwAfVjznmgJPs149sPKaJYFSBVk+Y4JOQDj6ZPbH4XYoZHsTLLEGUgA9PlYFTnHOMccj1HPrqxabYPrZkeWUyLEzDdKyyR8/fYcAZ7ZyTwexxJLp+yKKSO4k3JGuIkbAKk7h8wB5JVsc4yw64Gcs6YDfyyyrGCpZUw5VVZhux8y/L6beMgr2xjEn2TeMUyTDbpF+6yAWK7TnOMZJO7+XAGR11nZWFlI8zyCWOJt6OmFBcDcR1wSdwI9SD+Ltalh0ySbULxrdZFgLWxO4B5VAwCo5JJIHXgDnpkeUXNzNeXMlxcOXlkYs7HuTUVFFFFFFFFFFFFFaWn65e6ZEsVs0YRZfOwUBy2MDJ68envWrqOtQS2kFvBHGDNEquQ+4p8qqck4BPU8kc9a2rW3EUDXb+ZumBVw8o5OFIQAdkJJz0OeecVFJLI988qJGkZlZQmG4UrngY28Hv24xz0hkSG+urW0kldYZwzExN80gAxtXHUndkduOeK3bee0kVT8osi7gsVBKhgdmOvp1HPY8AVF9iBZIrW6uo3w9zGGfZlBsPzZ7ZbGR3UEYA4VNGuI71P3SgyZcBSrttySMqxyBnPDY61Jqtpp1zd/aEZVVdzGQEkltwzs9c7uRkcKeCCKoTWcMF3IvnyeYJWUgnMYXCj0ByCp7dzT05gd3ilkRSu2OFST/tlecFj8gx7/TGvpenT6fqyS3DSMjq0Su4Tau4x7F4+70bPbPJOeTpXknlLsilKKiMxWMD5Aq5HHHqvGfQYwTUenWiA2rG5uCJAs0+1gMLxhVTt3GfRccZrzfxO11p/iHdI8bTiDbkDpkMuc9zg5z7jvmvSdGvtD1TTbhLN43lUBGkQiMs2OG2FQQRyRjPK57HHCfEHVp5tYOlLKzWlskRw3JZ9mc5PPAbb17Z71xtFFFFFFFFFFFFFFFFdJL4nRrONRDI06IqDe5KqAOepJPPuO9VZPEd0Y0jDMwQModwoJznHAGByc459M07RrxrnVNPgkChUDIW6Z+VgCeQOAeM+/rXVf2gmnRwzeXH5gChFjAQTNkZUjJwSwJyee/pjb0fT0gvLo3pibUZhHK4j+UKgJ2ADPGNuPQ4HJqa4tSs6Q20W+ZyjyKrMocjPJYnC9Cckkk9enOMsEcAWaRHHnNvRZIyyJEWwckYyQCMcg8g881Zmtzc6hLFdSyLHIh8pyBuVcNjO4hgAA2T1zg8nGbUdpDomkLqN0JJVgizvjct3BIUnGccc553HPWqEms2mrjR72zUz3KOxlhEGSreW+OfQHB69/atz+0HurOzmjmDLcsEEy4BA7YDZHQY6/TPSsy/urKDXoNtzG99OGKSu4JUeX1JJPB4OTydpPOQByPxA8sa5GY2Lb4izZUYB8yTOPQZzwMDgdawdN1e60tZ1t2CiVcE4G5W2sAynqpAY8j1NVrq6nvbgz3MrSykKC7dTgADPrwBzUNFFFFFFFFFFFFFFFFFFPikMMySqAWRgwz0yKvXetXV2IQdkYibeBHnDMOhIJIyOg/+vUKaneJOs32iRnDmQlnJLEjByepyOPoT610mneNdlvNBqMLzLNKruwJY4G0EDLDHC8c9Tn2rvbDWdP1ASupKTQgGR87sR/xYXg5BDDPQ4HWuGbx9M9uYJrG3kdBtiuQWLL/tc9TgA/w859gN3xZqlrY/D+x0y3kSSS6iRyygKwJO5jgDBB5y3f5fQ15ikjxsWR2UkFcqccEYI/EEitWPxJqUOjnTI5EW3IxkL8/XPX9PpVKXULma9juzIwmj2+W24nbtxjGSfSptYv7jUb7zbh9xRBEnyBCFXjlQTtJ5JHqeOMVn0UUUUUUUUUUUUUUUUUUUUUUUU+OaSIOI5HQOux9rEbl9D6jgUynPI8m3e7NtG0ZOcD0ptKGIBAJAYYOD1FC4z8wJGD0OOaGYuxZiSxOSSeSaSiiiiiiiiiiiiiv/2Q==",
      "image/png": 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",
      "text/plain": [
       "<PIL.Image.Image image mode=L size=256x256>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "@run(scope='observation')\n",
    "def __view(interpolator, /):\n",
    "    rs, cs = interpolator.grid\n",
    "    \n",
    "    def decimate(\n",
    "        arr: auto.numpy.ndarray,\n",
    "        /,\n",
    "        *,\n",
    "        length: int,\n",
    "    ) -> auto.numpy.ndarray:\n",
    "        print(f'{len(arr)=!r}')\n",
    "        stride = int(auto.math.floor( len(arr) / length ))\n",
    "        arr = arr[::stride]\n",
    "        arr = arr[:length]\n",
    "        print(f'{len(arr)=!r}')\n",
    "        print(f'{arr}')\n",
    "        return arr\n",
    "    \n",
    "    rs = decimate(rs, length=256)\n",
    "    cs = decimate(cs, length=256)\n",
    "    \n",
    "    grid = auto.numpy.hstack(tuple(\n",
    "        v.reshape((-1, 1))\n",
    "        for v in auto.numpy.meshgrid(\n",
    "            rs,\n",
    "            cs,\n",
    "            indexing='ij',\n",
    "        )\n",
    "    ))\n",
    "    assert grid.shape == (len(rs) * len(cs), 2)\n",
    "    \n",
    "    confidence = (interpolator(grid, method='linear') * 255.0 / 4.0).astype(auto.numpy.uint8)\n",
    "    confidence = confidence.reshape((len(rs), len(cs)))\n",
    "    \n",
    "    image = auto.PIL.Image.fromarray(confidence, mode='L')\n",
    "    \n",
    "    auto.IPython.display.display(image)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "4f0d0c93",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-16T17:03:51.396720Z",
     "start_time": "2023-08-16T17:03:51.377473Z"
    },
    "execution": {
     "iopub.execute_input": "2024-07-19T15:28:44.661900Z",
     "iopub.status.busy": "2024-07-19T15:28:44.661529Z",
     "iopub.status.idle": "2024-07-19T15:28:44.683945Z",
     "shell.execute_reply": "2024-07-19T15:28:44.683165Z"
    },
    "papermill": {
     "duration": 0.046065,
     "end_time": "2024-07-19T15:28:44.687049",
     "exception": false,
     "start_time": "2024-07-19T15:28:44.640984",
     "status": "completed"
    },
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "r=826250 c=562518\n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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",
      "image/png": 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",
      "text/plain": [
       "<PIL.Image.Image image mode=L size=257x257>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## @Tile.from_.register(Location)\n",
    "@auto.mediocreatbest.doctest\n",
    "def convert_location_to_tile(*, lat: Degree, lng: Degree, zoom: int, math=auto.math) -> tuple[int, int]:\n",
    "    r\"\"\"\n",
    "    \n",
    "    >>> convert_location_to_tile(lat=35.6, lng=-83.52, zoom=11)\n",
    "    (807, 548)\n",
    "    >>> convert_location_to_tile(lat=35.0, lng=-84.5, zoom=15)\n",
    "    (12979, 8692)\n",
    "    >>> convert_location_to_tile(lat=36.25, lng=-82.5, zoom=15)\n",
    "    (12839, 8874)\n",
    "    \n",
    "    \"\"\"\n",
    "    # Thanks https://stackoverflow.com/a/72476578\n",
    "    \n",
    "    #> lat_rad = math.radians(lat_deg)\n",
    "    lat_rad = math.radians(lat)\n",
    "    \n",
    "    #> n = 2.0 ** zoom\n",
    "    n = 2.0 ** zoom\n",
    "    \n",
    "    #> xtile = int((lon_deg + 180.0) / 360.0 * n)\n",
    "    col = int((lng + 180.0) / 360.0 * n)\n",
    "    \n",
    "    #> ytile = int((1.0 - math.asinh(math.tan(lat_rad)) / math.pi) / 2.0 * n)\n",
    "    row = int((1.0 - math.asinh(math.tan(lat_rad)) / math.pi) / 2.0 * n)\n",
    "    \n",
    "    #> return (xtile, ytile)\n",
    "    return row, col\n",
    "\n",
    "\n",
    "@run(scope='observation')\n",
    "def __view(interpolator, /):\n",
    "    lat, lng = (\n",
    "        (35.6201452, -83.4372325)  # Clingman's Dome\n",
    "    )\n",
    "    \n",
    "    r, c = convert_location_to_tile(\n",
    "        lat=lat,\n",
    "        lng=lng,\n",
    "        zoom=Tixel.z,\n",
    "    )\n",
    "    print(f'{r=!r} {c=!r}')\n",
    "    \n",
    "    k = 2\n",
    "    rs = auto.numpy.arange(r-k*128, r+k*128+1, k)\n",
    "    cs = auto.numpy.arange(c-k*128, c+k*128+1, k)\n",
    "    \n",
    "#     rs, cs = interpolator.grid\n",
    "    \n",
    "#     def decimate(\n",
    "#         arr: auto.numpy.ndarray,\n",
    "#         /,\n",
    "#         *,\n",
    "#         length: int,\n",
    "#     ) -> auto.numpy.ndarray:\n",
    "#         print(f'{len(arr)=!r}')\n",
    "#         stride = int(auto.math.floor( len(arr) / length ))\n",
    "#         arr = arr[::stride]\n",
    "#         arr = arr[:length]\n",
    "#         return arr\n",
    "    \n",
    "#     rs = decimate(rs, length=256)\n",
    "#     cs = decimate(cs, length=256)\n",
    "    \n",
    "    grid = auto.numpy.hstack(tuple(\n",
    "        v.reshape((-1, 1))\n",
    "        for v in auto.numpy.meshgrid(\n",
    "            rs,\n",
    "            cs,\n",
    "            indexing='ij',\n",
    "        )\n",
    "    ))\n",
    "    assert grid.shape == (len(rs) * len(cs), 2)\n",
    "    \n",
    "    confidence = (interpolator(grid, method='linear').astype(auto.numpy.float32) * 255.0 / 4.0).astype(auto.numpy.uint8)\n",
    "    confidence = confidence.reshape((len(rs), len(cs)))\n",
    "    \n",
    "    image = auto.PIL.Image.fromarray(confidence, mode='L')\n",
    "    \n",
    "    auto.IPython.display.display(image)\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e24c44f",
   "metadata": {
    "papermill": {
     "duration": 0.020892,
     "end_time": "2024-07-19T15:28:44.728664",
     "exception": false,
     "start_time": "2024-07-19T15:28:44.707772",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Visualize"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "01449241",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-16T17:28:08.202738Z",
     "start_time": "2023-08-16T17:28:06.107846Z"
    },
    "execution": {
     "iopub.execute_input": "2024-07-19T15:28:44.769928Z",
     "iopub.status.busy": "2024-07-19T15:28:44.769550Z",
     "iopub.status.idle": "2024-07-19T15:28:45.782185Z",
     "shell.execute_reply": "2024-07-19T15:28:45.781265Z"
    },
    "papermill": {
     "duration": 1.037658,
     "end_time": "2024-07-19T15:28:45.786007",
     "exception": false,
     "start_time": "2024-07-19T15:28:44.748349",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "@run\n",
    "def __visualize(observation__interpolator, /):\n",
    "    def visualize(\n",
    "        *,\n",
    "        name: str,\n",
    "        interpolator: auto.scipy.interpolate.RegularGridInterpolator,\n",
    "        num: int,\n",
    "    ):\n",
    "        lat0, lng0 = 35.572785, -83.518351\n",
    "        lat1, lng1 = 35.553081, -83.487097\n",
    "        \n",
    "        r0, c0 = convert_location_to_tile(\n",
    "            lat=lat0,\n",
    "            lng=lng0,\n",
    "            zoom=Tixel.z,\n",
    "        )\n",
    "        \n",
    "        r1, c1 = convert_location_to_tile(\n",
    "            lat=lat1,\n",
    "            lng=lng1,\n",
    "            zoom=Tixel.z,\n",
    "        )\n",
    "        \n",
    "        rlo, rhi = min(r0, r1), max(r0, r1)\n",
    "        clo, chi = min(c0, c1), max(c0, c1)\n",
    "\n",
    "        # real_rlo = interpolator.grid[0].min()\n",
    "        # real_rhi = interpolator.grid[0].max()\n",
    "        # real_clo = interpolator.grid[1].min()\n",
    "        # real_chi = interpolator.grid[1].max()\n",
    "        # assert rlo >= real_rlo, \\\n",
    "        #     f'{rlo=!r} < {real_rlo=!r}'\n",
    "        # assert rhi <= real_rhi, \\\n",
    "        #     f'{rhi=!r} > {real_rhi=!r}'\n",
    "        # assert clo >= real_clo, \\\n",
    "        #     f'{clo=!r} < {real_clo=!r}'\n",
    "        # assert chi <= real_chi, \\\n",
    "        #     f'{chi=!r} > {real_chi=!r}'\n",
    "\n",
    "    # rs = auto.numpy.arange(rlo, rhi)\n",
    "    # cs = auto.numpy.arange(clo, chi)\n",
    "\n",
    "        \n",
    "        rs = auto.numpy.linspace(rlo, rhi, num=num)\n",
    "        cs = auto.numpy.linspace(clo, chi, num=num)\n",
    "        \n",
    "        grid = auto.numpy.hstack(tuple(\n",
    "            v.reshape((-1, 1))\n",
    "            for v in auto.numpy.meshgrid(\n",
    "                rs,\n",
    "                cs,\n",
    "                indexing='ij',\n",
    "            )\n",
    "        ))\n",
    "        assert grid.shape == (len(cs)*len(rs), 2), \\\n",
    "            f\"\"\"Wrong shape: {grid.shape=!r}\"\"\"\n",
    "        \n",
    "        values = interpolator(grid)\n",
    "        values = values.reshape((len(rs), len(cs), -1))\n",
    "        \n",
    "        %matplotlib inline\n",
    "        plt = auto.matplotlib.pyplot\n",
    "        \n",
    "        fig = plt.figure()\n",
    "        ax = fig.add_subplot(111)\n",
    "        im = ax.imshow(values)\n",
    "        ax.set_yticks(auto.numpy.arange(0, len(rs), 5))\n",
    "        ax.set_yticklabels([f'{int(r)}' for r in rs[::5]], rotation=0)\n",
    "        ax.set_xticks(auto.numpy.arange(0, len(cs), 5))\n",
    "        ax.set_xticklabels([f'{int(c)}' for c in cs[::5]], rotation=90)\n",
    "        \n",
    "        ax.set_title(f\"Sample of {name} around Clingman's Dome\")\n",
    "        ax.set_xlabel('Tixel Column Number')\n",
    "        ax.set_ylabel('Tixel Row Number', rotation=90)\n",
    "        \n",
    "        fig.colorbar(im)\n",
    "        fig.tight_layout()\n",
    "        plt.show()\n",
    "    \n",
    "    visualize(\n",
    "        name='observation',\n",
    "        interpolator=observation__interpolator,\n",
    "        num=128,\n",
    "    )\n",
    " \n",
    "    "
   ]
  },
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     "start_time": "2024-07-19T15:28:45.809019",
     "status": "completed"
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    "tags": []
   },
   "source": [
    "### Save"
   ]
  },
  {
   "cell_type": "code",
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   "id": "b22e54fd",
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     "exception": false,
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wrote 1,318,587 bytes to /home/raustin9/src/Sunrise-Demo-Dev/temp/park-observation_0031497.npz\n"
     ]
    }
   ],
   "source": [
    "@run\n",
    "def __save(observation__interpolator, /):\n",
    "    def save(\n",
    "        *,\n",
    "        name: str,\n",
    "        interpolator: auto.scipy.interpolate.RegularGridInterpolator,\n",
    "    ):\n",
    "        path = auto.pathlib.Path.cwd() / 'temp' / f'park-{name}.npz'\n",
    "        auto.numpy.savez_compressed(\n",
    "            path,\n",
    "            points0=interpolator.grid[0],\n",
    "            points1=interpolator.grid[1],\n",
    "            values=interpolator.values,\n",
    "        )\n",
    "        \n",
    "        print(f'Wrote {path.stat().st_size :,d} bytes to {path}')\n",
    "    \n",
    "   \n",
    "    save(\n",
    "        name=f'observation_{SPECIES}',\n",
    "        interpolator=observation__interpolator,\n",
    "    )\n",
    "\n"
   ]
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   "source": [
    "## Observation"
   ]
  },
  {
   "cell_type": "code",
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   "id": "2f85a376",
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     "status": "completed"
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Decimate by factor of 3**2=9 from 50,302,980 to 5,591,040 vertices\n"
     ]
    },
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       "  0%|          | 0/2048 [00:00<?, ?row/s]"
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     "text": [
      "Counter({0: 5030942, 1: 383220, 2: 165837, 3: 11041})\n",
      "Wrote 5,591,048 bytes to /home/raustin9/src/Sunrise-Demo-Dev/data/observations/observation_0031497/OSPGeometricModel.index.vec1uc.bin\n",
      "None\n"
     ]
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    "@run(scope='render', after=print)\n",
    "def observation(observation__interpolator, /) -> 'uint8[]':\n",
    "    \"\"\"OSPGeometricModel::index:uint8[]\"\"\"\n",
    "    \n",
    "    def Data(array: auto.numpy.ndarray, /, *, type: lib.OSPDataType) -> lib.OSPData:\n",
    "        if len(array.shape) == 0:\n",
    "            array = array[None, None, None]\n",
    "\n",
    "        elif len(array.shape) == 1:\n",
    "            array = array[:, None, None]\n",
    "\n",
    "        elif len(array.shape) == 2:\n",
    "            array = array[:, :, None]\n",
    "            \n",
    "        elif len(array.shape) == 3:\n",
    "            array = array[:, :, :]\n",
    "\n",
    "        else:\n",
    "            raise NotImplementedError()\n",
    "\n",
    "        src = lib.ospNewSharedData(\n",
    "            array.ctypes.data, type,\n",
    "            array.shape[0], array.strides[0],\n",
    "            array.shape[1], array.strides[1],\n",
    "            array.shape[2], array.strides[2],\n",
    "        )\n",
    "        lib.ospCommit(src)\n",
    "\n",
    "        dst = lib.ospNewData(type, *array.shape)\n",
    "        lib.ospCopyData(src, dst, 0, 0, 0)\n",
    "        lib.ospCommit(dst)\n",
    "\n",
    "        lib.ospRelease(src)\n",
    "        return dst\n",
    "    \n",
    "  \n",
    "    \n",
    "\n",
    "    rs = auto.numpy.arange(RLO, RHI)\n",
    "    cs = auto.numpy.arange(CLO, CHI)\n",
    "    # rs = auto.numpy.aran\n",
    "\n",
    "    def decimate(\n",
    "        rs: auto.np.ndarray,\n",
    "        cs: auto.np.ndarray,\n",
    "        /,\n",
    "        *,\n",
    "        duration: 'seconds',\n",
    "        rate: 'item/s',\n",
    "    ) -> tuple[auto.np.ndarray, auto.np.ndarray]:\n",
    "        total_items = len(rs) * len(cs)\n",
    "\n",
    "        actual_items = duration * rate\n",
    "    #             print(f'{items = } = {duration} * {rate}')\n",
    "\n",
    "        factor_items = total_items / actual_items\n",
    "\n",
    "        stride = int(auto.math.ceil(auto.math.sqrt( factor_items )))\n",
    "\n",
    "    #             stride = int(auto.math.ceil())\n",
    "    #             print(f'{stride = } = int(auto.math.ceil( {len(rs)} / {items} == {len(rs)/items} ))')\n",
    "\n",
    "        rs = rs[::stride]\n",
    "        cs = cs[::stride]\n",
    "\n",
    "        print(f'Decimate by factor of {stride}**2={stride**2 :,d} from {total_items :,d} to {len(rs)*len(cs) :,d} vertices')\n",
    "        return rs, cs\n",
    "\n",
    "    rs, cs = decimate(\n",
    "        rs, cs,\n",
    "        duration=[\n",
    "            1,  # lo resolution\n",
    "            10,  # medium resolution\n",
    "            1000,  # high resolution\n",
    "        ][TERRAIN_QUALITY],\n",
    "        rate=6260094,\n",
    "    )\n",
    "    \n",
    "    index = auto.numpy.zeros(\n",
    "        shape=(len(rs), len(cs)),\n",
    "        dtype='u1',\n",
    "    )\n",
    "    \n",
    "    for (ri, r) in enumerate(auto.tqdm.autonotebook.tqdm(rs, unit='row')):\n",
    "        grid = auto.numpy.hstack(tuple(\n",
    "            v.reshape((-1, 1))\n",
    "            for v in auto.numpy.meshgrid(\n",
    "                [r],\n",
    "                cs,\n",
    "                indexing='ij',\n",
    "            )\n",
    "        ))\n",
    "        assert grid.shape == (len(cs), 2), \\\n",
    "            f\"\"\"Wrong shape: {grid.shape=!r}\"\"\"\n",
    "#             print(f\"\"\"{grid[:, 0].min()=!r} ;; {grid[:, 0].max()=!r}\n",
    "# {grid[:, 1].min()=!r} ;; {grid[:, 1].max()=!r}\"\"\")\n",
    "        \n",
    "        try:\n",
    "            observation__interpolator.fill_value = 0\n",
    "            category = observation__interpolator(\n",
    "                grid,\n",
    "                method='nearest',\n",
    "            )\n",
    "            # interpolate.observation.fill_value = 0\n",
    "            # category = interpolate.observation(\n",
    "            #     grid,\n",
    "            #     method='nearest',\n",
    "            # )\n",
    "        except ValueError:\n",
    "            print(f'{grid.shape=!r}')\n",
    "            print(f'{auto.np.min(grid, axis=0)=!r}')\n",
    "            print(f'{auto.np.max(grid, axis=0)=!r}')\n",
    "            raise\n",
    "\n",
    "        assert category.shape == (len(cs),), \\\n",
    "            f\"\"\"Wrong shape: {category.shape=!r}\"\"\"\n",
    "        assert auto.numpy.all((0 <= category) & (category < 4))\n",
    "        \n",
    "        index[ri, :] = category\n",
    "    \n",
    "    index = index.reshape((-1,))\n",
    "    print(auto.collections.Counter(index.flat))\n",
    "    \n",
    "    \n",
    "    #--- Save to Disk\n",
    "\n",
    "    def Save(data: auto.numpy.NDArray, /, *, path: auto.pathlib.Path):\n",
    "        if not DO_SAVE:\n",
    "            return\n",
    "        \n",
    "        path.parent.mkdir(parents=True, exist_ok=True)\n",
    "        with open(path, 'wb') as f:\n",
    "            f.write(auto.struct.pack('I', len(data.shape)))\n",
    "            f.write(auto.struct.pack(f'{len(data.shape)}I', *data.shape))\n",
    "            data.tofile(f)\n",
    "        print(f\"Wrote {path.stat().st_size :,d} bytes to {path}\")\n",
    "\n",
    "    if SHOULD_SAVE:\n",
    "        Save(\n",
    "            index,\n",
    "            path=auto.pathlib.Path.cwd().joinpath(\n",
    "                f\"data\",\n",
    "                f\"observations\",\n",
    "                f\"observation_{SPECIES}\",\n",
    "                f\"OSPGeometricModel.index.vec1uc.bin\",\n",
    "            ),\n",
    "        )\n",
    "    "
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