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| import numpy as np | |
| import pandas as pd | |
| def sklearn_tree_to_ee_string(estimator, feature_names): | |
| # extract out the information need to build the tree string | |
| n_nodes = estimator.tree_.node_count | |
| children_left = estimator.tree_.children_left | |
| children_right = estimator.tree_.children_right | |
| feature_idx = estimator.tree_.feature |
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| import ipyleaflet | |
| import json | |
| import leafmap | |
| import requests | |
| stac_api = "https://earth-search.aws.element84.com/v0" | |
| search_endpoint = f"{stac_api}/search" | |
| collection = "sentinel-s2-l2a-cogs" | |
| payload = { |
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| import duckdb | |
| import flask | |
| # Initialize Flask app | |
| app = flask.Flask(__name__) | |
| # Setup a global DuckDB connection with spatial extension loaded | |
| # Connect to a persistent database file with the geometry data | |
| config = {"allow_unsigned_extensions": "true"} | |
| con = duckdb.connect("tiles.db", True, config) |
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