thatbudakguy

{
  "gbl_mdVersion_s": "Aardvark",
  "id": "wmts-single-fixture",
  "dct_title_s": "Night Lights (VIIRS, Suomi NPP)",
  "dct_accessRights_s": "Public",
  "schema_provider_s": "NASA",
  "gbl_resourceClass_sm": ["Datasets"],
  "gbl_resourceType_sm": ["Raster data"],
  "dct_description_sm": ["The highest quality, daily and annual standard night lights products derived from the Suomi-NPP satellite."],
  "locn_geometry": "ENVELOPE(-180, 180, 90, -90)",

thatbudakguy

{
  "gbl_mdVersion_s": "Aardvark",
  "id": "tilejson-vector-fixture",
  "dct_title_s": "MapLibre Demo Tiles (TileJSON, Vector)",
  "dct_accessRights_s": "Public",
  "schema_provider_s": "MapLibre",
  "gbl_resourceClass_sm": ["Datasets"],
  "dct_description_sm": ["Countries, centroids and geographic lines as a three-layer vector TileJSON tileset."],
  "locn_geometry": "ENVELOPE(-180, 180, 85, -85)",
  "dcat_bbox": "ENVELOPE(-180, 180, 85, -85)",

thatbudakguy

{
  "id": "stanford-cr288qn9438",
  "dct_title_s": "Important Farmland, Alameda County, California, 2014",
  "dct_description_sm": [
    "This polygon shapefile represents areas of important farmland in Alameda County, California for 2014. Established in 1982, Government Code Section 65570 mandates FMMP to biennially report on the conversion of farmland and grazing land, and to provide maps and data to local government and the public.",
    "The Farmland Mapping and Monitoring Program (FMMP) provides data to decision makers for use in planning for the present and future use of California's agricultural land resources. The data is a current inventory of agricultural resources. This data is for general planning purposes and has a minimum mapping unit of ten acres.",
    "The Important Farmland survey area is based on Natural Resources Conservation Service (NRCS) modern soil surveys covering most non-governmental lands in California; 49 counties are fully or partially surveyed at this time. Soil surveys specific

thatbudakguy

{
  "id": "stanford-qh585jp8667",
  "dct_title_s": "Hopkins Marine Station; Monterey County, California : aerial photographs, Index",
  "dct_description_sm": [
    "This is an index to the map series 'Hopkins Marine Station; Monterey County, California : aerial photographs.' The maps were originally created by the Aero-Geodetic Corporation. in 2000. This layer provides an index map that can be used to locate individual aerial photographs."
  ],
  "dct_language_sm": [
    "eng"
  ],
  "dct_creator_sm": [

thatbudakguy

{
  "id": "flowers",
  "dct_title_s": "Flowers (Raster PMTile)",
  "schema_provider_s": "PMTiles.io",
  "gbl_resourceClass_sm": ["Imagery"],
  "dcat_bbox": "ENVELOPE(121.523691,121.527747,25.015462,25.014723)",
  "dct_accessRights_s": "Public",
  "gbl_mdVersion_s": "Aardvark",
  "dct_references_s": "{\"https://github.com/protomaps/PMTiles\":\"https://air.mtn.tw/flowers.pmtiles\"}"
}

thatbudakguy

{
  "id": "stanford-vq494qx9344",
  "dct_title_s": "Orthophoto of O'Donohue Family Stanford Educational Farm",
  "dct_description_sm": [
    "This photo was created using WebODM (OpenDroneMap), and images collected using a DJI Phantom 3 UAV."
  ],
  "dct_creator_sm": [
    "Maples, Stace D"
  ],
  "dct_issued_s": "2025",

thatbudakguy

"""
Report weather data via MQTT.
"""

import sys
import os
import requests
import time
import paho.mqtt.client as mqtt

thatbudakguy

"""Auto-generate CoNLL-2002 (IOB) entities by tagging a text file."""

from pathlib import Path
from typing import Optional
from typing_extensions import Annotated

import spacy
from spacy.training import offsets_to_biluo_tags
from spacy.training import biluo_to_iob
import typer

thatbudakguy

# frozen_string_literal: true

# require 'ruby-prof'
require 'csv'

# locations
## institution
SU_ID = '8d433cdd-4e8f-4dc1-aa24-8a4ddb7dc929'

## campus

thatbudakguy

class SuParKanbunTokenizer(object):
    to_disk = lambda self, *args, **kwargs: None
    from_disk = lambda self, *args, **kwargs: None
    to_bytes = lambda self, *args, **kwargs: None
    from_bytes = lambda self, *args, **kwargs: None

    def __init__(self, bert, segment, vocab) -> None:
        self.bert = bert
        self.vocab = vocab
        self.simplify = {}