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[Security] | |
EAP-Method=TLS | |
EAP-Identity=<your harvard email> | |
EAP-TLS-CACert=/var/lib/iwd/usertrustrsacertificationauthority.cer | |
EAP-TLS-ClientCert=/var/lib/iwd/harvard_eduroam.p12 | |
EAP-TLS-ClientKey=/var/lib/iwd/harvard_eduroam.p12 | |
EAP-TLS-ClientKeyPassphrase=<your certificate password> | |
EAP-TLS-Phase2-Method=Tunneled-PAP | |
EAP-TLS-Phase2-Identity=<your harvard email> | |
EAP-TLS-Phase2-Password=<your harvard login password> |
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import REPL | |
import REPL.LineEdit | |
import JLFzf | |
const mykeys = Dict{Any,Any}( | |
# primary history search: most recent first | |
"^R" => function (mistate, o, c) | |
line = JLFzf.inter_fzf(JLFzf.read_repl_hist(), | |
"--read0", | |
"--tiebreak=index" | |
"--height=80%"); |
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using Plots, Statistics | |
using StatsPlots | |
using Distributions #this pkg actually is end game, but we're just using gaussian pdf | |
function custom_gaussian(n) | |
#b) | |
#parent distribution is Gaussian | |
μ = 10 | |
parent = Distributions.Normal(10) #μ = 10 | |
parent_pdf(x) = Distributions.pdf(parent, x) |
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