simonbyrne

     21089:	find library=libpthread.so.0 [0]; searching
     21089:	 search path=/central/software/nsight-systems/2023.2.1/target-linux-x64/tls/x86_64:/central/software/nsight-systems/2023.2.1/target-linux-x64/tls:/central/software/nsight-systems/2023.2.1/target-linux-x64/x86_64:/central/software/nsight-systems/2023.2.1/target-linux-x64		(RPATH from file nsys)
     21089:	  trying file=/central/software/nsight-systems/2023.2.1/target-linux-x64/tls/x86_64/libpthread.so.0
     21089:	  trying file=/central/software/nsight-systems/2023.2.1/target-linux-x64/tls/libpthread.so.0
     21089:	  trying file=/central/software/nsight-systems/2023.2.1/target-linux-x64/x86_64/libpthread.so.0
     21089:	  trying file=/central/software/nsight-systems/2023.2.1/target-linux-x64/libpthread.so.0
     21089:	 search path=/central/software/julia/1.8.5/lib/tls/x86_64:/central/software/julia/1.8.5/lib/tls:/central/software/julia/1.8.5/lib/x86_64:/central/software/julia/1.8.5/lib:/central/slurm/install/current/lib/tls/x86_64:/centr

simonbyrne

using Distributions
import ForwardDiff: Dual, value, partials

@generated function get_values(a::NTuple{N}) where {N}
    return ForwardDiff.tupexpr(i -> :(value(a[$i])),N)
end
ForwardDiff.value(p::ForwardDiff.Partials) =
    ForwardDiff.Partials(get_values(p.values))

simonbyrne

using SenseHat

function newblob(snake)
    while true
        x = rand(1:8)
        y = rand(1:8)
        if (x,y) ∉ snake
            return (x,y)
        end
    end

simonbyrne

using LinearAlgebra
using SparseArrays
using DifferentialEquations
using DiffEqOperators
using BlockBandedMatrices
using DiffEqOperators
using RecursiveFactorization

mutable struct Single_Stack
    L::Float64

simonbyrne

import Base: TwicePrecision, significand_bits, significand_mask, exponent_mask, exponent_bias

# Bits of 1/2π
#   1/2π == sum(x / 0x1p64^i for i,x = enumerate(INV2PI))
# Can be obtained by:
#
#    setprecision(BigFloat, 4096)
#    I = 0.5/big(pi)
#    for i = 1:19
#        I *= 0x1p64

simonbyrne

This is 'u' (ASCII/Unicode U+0075) followed by Unicode Character 'COMBINING RIGHT ARROW ABOVE' (Unicode U+20D7):
u⃗

simonbyrne

using Makie, GLMakie, GeometryBasics

function cubedshellwarp(a, b, c, R = max(abs(a), abs(b), abs(c)))

    function f(sR, ξ, η)
        X, Y = tan(π * ξ / 4), tan(π * η / 4)
        x1 = sR / sqrt(X^2 + Y^2 + 1)
        x2, x3 = X * x1, Y * x1
        x1, x2, x3
    end

simonbyrne

# This file is machine-generated - editing it directly is not advised

[[Adapt]]
deps = ["LinearAlgebra"]
git-tree-sha1 = "0fac443759fa829ed8066db6cf1077d888bb6573"
uuid = "79e6a3ab-5dfb-504d-930d-738a2a938a0e"
version = "2.0.2"

[[Base64]]
uuid = "2a0f44e3-6c83-55bd-87e4-b1978d98bd5f"

simonbyrne

# This file is machine-generated - editing it directly is not advised

[[Base64]]
uuid = "2a0f44e3-6c83-55bd-87e4-b1978d98bd5f"

[[CompilerSupportLibraries_jll]]
deps = ["Libdl", "Pkg"]
git-tree-sha1 = "7c4f882c41faa72118841185afc58a2eb00ef612"
uuid = "e66e0078-7015-5450-92f7-15fbd957f2ae"
version = "0.3.3+0"

simonbyrne

module Tendencies



abstract type Term end
# rows: equations of each variable
abstract type PrognosticQuantity <: Term end
struct Mass <: PrognosticQuantity end
struct Momentum <: PrognosticQuantity end