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https://drive.google.com/open?id=1LyBPd-wANgNRD5chmBTdRAk4Zw2R6Q5v
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from sage.all import *
def is_good(N):
number_of_opt_curves = 0
for d in divisors(N):
number_of_opt_curves += number_of_divisors(N//d) * len(list(cremona_optimal_curves(d)))
dim = dimension_cusp_forms(N)
return number_of_opt_curves == dim
good_primes = [2, 3, 5, 7, 11, 13, 17, 19, 37]
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kevinywlui / test.html
Last active September 19, 2019 06:21
<!DOCTYPE html>
<!-- saved from url=(0071)https://scottroy.github.io/implementing-a-neural-network-in-python.html -->
<html><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<title>
Implementing a neural network in Python | statsandstuff
</title>

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