Ryan Brideau Brideau

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I am Brideau on github.
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A tweak of the D3Kit Circles example to fix some transition bugs it had, and to add, well, a ton of circles.

An automatically sorting list of words that fit into a hexagon. Words are currently gibberish.

	import faker as f
	import numpy as np

	from numpy.random import default_rng
	from pandas import DataFrame
	from scipy.stats import truncnorm
	from sklearn.metrics import average_precision_score

	fake_bad_actor_generator = f.Faker()
	rng = default_rng()

	def precision_at_k(y_true, y_score, k, pos_label=1):
	from sklearn.utils import column_or_1d
	from sklearn.utils.multiclass import type_of_target

	y_true_type = type_of_target(y_true)
	if not (y_true_type == "binary"):
	raise ValueError("y_true must be a binary column.")

	# Makes this compatible with various array types
	y_true_arr = column_or_1d(y_true)

	{
	"name": "Testing a Pool",
	"description": "The pool that tests all the pools",
	"ticker": "TEST",
	"homepage": "https://teststakepool.com"
	}

	// If you need to add additional parameters, as is the case if creating a
	// CSV file, you can use the -lco flag multiple times
	val outPathCsv = Paths.get("temp", "Canada3573Csv", "Canada3573.csv").toAbsolutePath
	val cmdCsv = Array("-f", "CSV", outPathCsv.toString, inPath.toString,
	"-lco", "GEOMETRY=AS_WKT",
	"-lco", "CREATE_CSVT=YES",
	"-lco", "SEPARATOR=SEMICOLON"
	)

	convertUsingOgr2Ogr(outPathCsv, cmdCsv).onComplete{