content stringlengths 6 1.03M | input_ids listlengths 4 535k | ratio_char_token float64 0.68 8.61 | token_count int64 4 535k |
|---|---|---|---|
@testset "Test QFT module" begin
@testset "Test forward QFT" begin
num_qubits = 5
num_gates = num_qubits*(num_qubits+1)/2
cct1 = QXZoo.Circuit.Circ(num_qubits)
cct2 = QXZoo.Circuit.Circ(num_qubits)
QXZoo.QFT.apply_qft!(cct1, collect(1:num_qubits))
cct2 << DefaultGat... | [
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220... | 1.691937 | 1,662 |
### Error functions.
function error_function_selector(error::ASCIIString)
if error == "absolute_error"
return "absolute_error", absolute_error!, absolute_error_prime!
elseif error == "cross_entropy"
return "cross_entropy", cross_entropy!, cross_entropy_prime!
else
return "squared_error", squared_error!, squar... | [
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2... | 2.119104 | 848 |
<reponame>musm/AbstractPlotting.jl<gh_stars>0
const PlotTypes{Typ, Arg} = Union{Atomic{Typ, Arg}, Combined{Typ, Arg}}
argtypes(x::PlotTypes{T, A}) where {T, A} = A
argtypes(x) = Any
function data_limits(x)
error("No datalimits for $(typeof(x)) and $(argtypes(x))")
end
"""
Data limits calculate a minimal boundingb... | [
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<gh_stars>1-10
# These constants were manually copied from the file mpi.h in the Microsoft
# MPI SDK v7
const MPI_BYTE = Int32(0x4c00010d)
const MPI_WCHAR = Int32(0x4c00020e)
const MPI_INT8_T = Int32(0x4c000133)
const MPI_UINT8_T = Int32(0x4c000137)
const MPI_INT16_T = Int32(0x4c000234)
const MPI_UINT16_T = Int32(0x4c... | [
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<reponame>JuliaPackageMirrors/Discretizers.jl
@test array_matches(binedges(DiscretizeUniformWidth(2), [1.0,2.0,3.0,4.0,5.0,6.0]), [1.0, 3.5, 6.0], 1e-8)
@test array_matches(binedges(DiscretizeUniformWidth(2), [6.0,2.0,30.0,4.0,1.0,1.0]), [1, 15.5, 30], 1e-8)
@test array_matches(binedges(DiscretizeUniformWidth(3), [1.0... | [
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... | 1.893048 | 374 |
"""
nipals(;input::AbstractArray=[], outdir::Union{Nothing,AbstractString}=nothing, scale::AbstractArray=[], pseudocount::AbstractArray=[], colmeanlist::AbstractArray="", colvarlist::Union{Nothing, AbstractString,AbstractArray}="", dim::Number=3, numepoch::Number=3, lower::Number=0, upper::Number=1.0f+38, offsetSto... | [
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19182... | 1.888659 | 5,326 |
# spectra normalization functions, copied from an old version of RvSpectML.EchelleInstruments to here due to the most up-to-date version giving errors
# TODO: push changes to EchelleInstruments to fix these errors, and update RvLineList to use the official version of EchelleInstruments
""" Normalize spectrum based on... | [
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25,... | 3.025896 | 502 |
<gh_stars>0
"""
ReTest.hijack(source, [modname];
parentmodule::Module=Main, lazy=false, revise::Bool=false)
Given test files defined in `source` using the `Test` package, try to load
them by replacing `Test` with `ReTest`, wrapping them in a module `modname`
defined within `parentmodule`. If succ... | [
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214... | 2.398251 | 5,489 |
include("smearing_functions.jl")
abstract type Smear end
function get_smear_type(potential::Symbol)
if potential == :ttm3
return Smear_TTM3()
elseif potential == :ttm21
return Smear_TTM21()
elseif potential == :ttm22
return Smear_TTM22()
elseif potential == :ttm4
return ... | [
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<gh_stars>1-10
"Holds the tableau of a Runge-Kutta method."
abstract type AbstractTableauRK{T <: Real} <: AbstractTableau{T} end
"Holds the tableau of an explicit Runge-Kutta method."
abstract type AbstractTableauERK{T} <: AbstractTableauRK{T} end
"Holds the tableau of an implicit Runge-Kutta method."
abstract type ... | [
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<filename>src/Parametron.jl
module Parametron
# types
export
Variable,
LinearTerm,
QuadraticTerm,
AffineFunction,
QuadraticFunction,
Model,
Parameter
# enum values
export
Minimize,
Maximize
# functions
export
setobjective!,
add_nonnegative_constraint!,
add_nonpositive_... | [
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11,... | 2.774869 | 382 |
using LinearAlgebra
ninc = 5
neq = 2
a = [-1.0 1.0 -4.0 1.0 0.0; 2.0 -1.0 2.0 0.0 1.0]
b = [30.0 10.0]
c = [-1.0 -2.0 1.0 0.0 0.0]
f = 0.0
pivo = 0.0
contador = 1
centra = 0.0
while(true)
global contador += 1
isai = 1
jentra = 1
razao = 0
@show a
@show b
@show c
@show f
@show pi... | [
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6... | 1.635561 | 793 |
<gh_stars>0
## -*-Julia-*-
## Test suite for Julia's WAV module
reload("WAV.jl")
# These float array comparison functions are from dists.jl
function absdiff{T<:Real}(current::AbstractArray{T}, target::AbstractArray{T})
@assert all(size(current) == size(target))
maximum(abs(current - target))
end
function reld... | [
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389... | 2.238468 | 5,116 |
<reponame>mortenpi/AtomicLevels.jl
const spectroscopic = "spdfghiklmnoqrtuv"
spectroscopic_label(ℓ) =
ℓ + 1 ≤ length(spectroscopic) ? spectroscopic[ℓ+1] : "[$(ℓ)]"
# Nicer string representation for rationals
rs(r::Number) = "$(r)"
rs(r::Rational) = denominator(r) == 1 ? "$(numerator(r))" : "$(numerator(r))/$(denom... | [
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1,
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241... | 2.243243 | 148 |
# test cube
@testset "Primitives" begin
c1 = Cuboid([1,1,1])
c2 = Cuboid([1,1,1])
c3 = Cuboid([0,1,1])
#@test isequal(c1, c2)
#@test !isequal(c1,c3)
end
| [
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12962... | 1.793814 | 97 |
<reponame>tkf/FLoops.jl
"""
@reduce() do (acc₁ [= init₁]; x₁), ..., (accₙ [= initₙ]; xₙ)
...
end
@reduce(acc₁ ⊗₁= x₁, ..., accₙ ⊗ₙ= xₙ)
@reduce(acc₁ .⊗₁= x₁, ..., accₙ .⊗ₙ= xₙ)
@reduce(acc₁ = ⊗₁(init₁, x₁), ..., accₙ = ⊗ₙ(initₙ, xₙ))
@reduce(acc₁ .= (⊗₁).(init₁, x₁), ..., accₙ = (⊗ₙ).(in... | [
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413... | 2.015628 | 14,589 |
import .Plots.gui
import .Plots.plot
import .Plots.plot!
import .Plots.annotate!
function plot(env::CartPoleEnv; kwargs...)
a, d = env.action, env.done
x, xdot, theta, thetadot = env.state
l = 2 * env.params.halflength
xthreshold = env.params.xthreshold
# set the frame
plot(
xlims=(-xth... | [
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2... | 1.889088 | 2,227 |
<reponame>mortenpi/Angular.jl<filename>src/vectorspaces.jl
"""
abstract type BasisSet
An abstract type that represents a set of orthonormal states that can be used to generate
a vector space.
The basis sets are assumed to be indexed with indices in `1:length(b)`.
# Interface
Child types must implement `Base.len... | [
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... | 2.758065 | 992 |
<filename>test/integration-tests.jl
@testset "integration tests" begin
julia_repo = "bcbi-test/julia"
global_kwargs = Dict(
:auth => BumpStdlibs.get_input_from_environment(:auth, "BUMPSTDLIBS_TOKEN_FOR_TESTS"),
:close_old_pull_requests => true,
:close_old_pull_requests_older_than => Dat... | [
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8482,
12,
9288,
14,
73,
43640,
1,
628,
220,
220,
220... | 2.046917 | 746 |
using GeometricBase.Config
using GeometricBase.Utils
using GeometricIntegrators.Integrators
using GeometricIntegrators.Tableaus
using GeometricProblems.HarmonicOscillator
using SimpleSolvers
using Test
SimpleSolvers.set_config(:nls_stol_break, 1E3)
using GeometricProblems.HarmonicOscillator: Δt, nt, refx
sode = har... | [
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198,
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18942,
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2269,
16996,
2964,
22143,
... | 2.323026 | 1,520 |
<filename>src/embedding/transforms.jl
# Transformations on dictionaries of xy-coordinates
using LinearAlgebra, Statistics
export transform, scale, rotate, translate, recenter
"""
`_transform(xy,A,b)` appliex the affine transformation
`v |--> Av+b` to all entries in `xy`.
"""
function _transform(xy::Dict, A::Array{... | [
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<gh_stars>0
# cyclic package
test_error = nothing
try
include("../packages/CyclicPackage/src/CyclicPackage.jl")
catch cur_error
test_error = cur_error
end
@test isa(test_error, LoadError)
test_error = test_error.error
@test isa(test_error, LoadError)
test_error = test_error.error
@test isa(test_error, UndefVar... | [
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4943,
198... | 2.639706 | 136 |
using OmegaGrav
using MatterPower
using Dierckx
using Plots, LaTeXStrings
using OrdinaryDiffEq
# %% Compute the matter power spectrum using CLASS
include("compute_pk_class.jl")
# %% Compute the analytical linear theory result for K/W
# Reference: Equation (12) of Davis, Miller, White, ApJ, 490, 63 (1997).
zini = 9
a = ... | [
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1... | 2.105986 | 1,821 |
<reponame>aliddell/JuDO.jl
droplets = getalldroplets!(client)
@testset "List all Droplets" begin
@test length(droplets) == 1
@test droplets[1].locked == false
@test isempty(droplets[1].snapshotids)
@test droplets[1].created_at == DateTime("2014-11-14T16:29:21")
@test droplets[1].memory == 1024
@... | [
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220,
220,
220,
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41... | 2.388138 | 2,664 |
module Codim2
using LinearAlgebra
using Statistics: mean
using ..ArrayUtils: cast_container
using ..Continuations: AbstractContinuationProblem, AbstractProblemCache
import ..Continuations: get_prob_cache, get_u0, residual!, residual_jacobian!,
residual, isindomain
# TimeKind trait:
using ..BifurcationsBase: tim... | [
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... | 3.081921 | 354 |
__precompile__(false)
module PDESolver
# defs.jl
export AssembleElementData, AbstractShockSensor
# from registration.jl
export register_physics, retrieve_physics, registerIC, registerBC
# from interface.jl
export evalResidual, evalJacobian, evalHomotopy, evalHomotopyJacobian,
evalJacobianStrong, createFunctio... | [
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2,
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82,
13,
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2,
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9352,
13,
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198,
39344,
7881,
62,
746,
231... | 2.789873 | 1,185 |
using Stochy
# This is useful for testing inference over models where the number of
# ERP varies across executions.
@pp function f(n)
factor(n > 3 ? -1 : 0)
if n < 0
list()
else
flip(0.7) ? 0 .. f(n-1) : list()
end
end
@pp function g()
f(5)
end
dist = @pp enum() do
local x = ... | [
3500,
520,
5374,
88,
198,
198,
2,
770,
318,
4465,
329,
4856,
32278,
625,
4981,
810,
262,
1271,
286,
198,
2,
13793,
47,
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1973,
30632,
13,
198,
198,
31,
381,
2163,
277,
7,
77,
8,
198,
220,
220,
220,
5766,
7,
77,
1875,
513,
... | 2.174757 | 206 |
ix = 1.0
z = "My String"
# http://docs.julialang.org/en/release-0.2/manual/integers-and-floating-point-numbers/
for T = {Int8,Int16,Int32,Int64,Int128,Uint8,Uint16,Uint32,Uint64,Uint128}
println("$(lpad(T,6)): [$(typemin(T)),$(typemax(T))]")
end
println(bits(10))
println(bits(10.0))
onepointtwo = 1.1 + 0.1
onepo... | [
844,
796,
352,
13,
15,
198,
198,
89,
796,
366,
3666,
10903,
1,
198,
198,
2,
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1378,
31628,
13,
73,
377,
498,
648,
13,
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14,
268,
14,
20979,
12,
15,
13,
17,
14,
805,
723,
14,
18908,
364,
12,
392,
12,
48679,
803,
12,
4... | 2.262411 | 1,974 |
using MD5
hex(s) = string(s, base=16)
"""
Downloads a dataset located at a given url to a path. The function is taken
from Flux.jl/Data.jl
``https://github.com/FluxML/Flux.jl/blob/ea26f45a1f4e93d91b1e8942c807f8bf229d5775/src/data/Data.jl#L26``
"""
function download_dataset(url, path, hash=nothing)
println("Downloadi... | [
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7,
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8,
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284,
257,
3108,
13,
383,
2163,
318,
2077,
198,
6738,
1610,
2821,
13,
20362,
... | 2.588336 | 583 |
let
tot = 0
prev = Dict()
foundIt = false
loopCount = 0
while !foundIt
loopCount += 1
println(loopCount)
open("data.txt") do file
for line in eachline(file)
operator = line[1]
operand = pa... | [
1616,
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220,
220,
220,
220,
220,
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198,
220,
220,
220,
220,
220,
220,
2... | 1.485207 | 507 |
<reponame>xijiang/RD2
#=
# Function list:
- compare(yt, wt, yv, Gi, Ai) # using weighted MME
- compare(yt, yv, Gi, Ai) # not weighed MME
- cv_n()
- cv_d()
- cv_g()
- function CV_ebv(training, brding_v, cv_setup, G, A, ID)
=#
function cv_n(nts, ncs, nbv, ID, G, A)
###################################################... | [
27,
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29,
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2,
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2,
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25,
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7,
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11,
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11,
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11,
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8,
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1262,
26356,
337,
11682,
198,
12,
8996,
7,
20760,
11... | 1.928058 | 4,170 |
# This file was generated by the Julia Swagger Code Generator
# Do not modify this file directly. Modify the swagger specification instead.
mutable struct NetworkAccessPolicy <: SwaggerModel
function NetworkAccessPolicy(;)
o = new()
o
end
end # type NetworkAccessPolicy
const _property_map_Ne... | [
2,
770,
2393,
373,
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416,
262,
22300,
2451,
7928,
6127,
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13,
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1958,
262,
1509,
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13,
628,
198,
76,
18187,
2878,
7311,
15457,
36727,
1279,
25,
2451,
7928,
17633... | 3.382143 | 280 |
<gh_stars>0
"""
BaseStats
Every stats common to any configuration.
"""
mutable struct BaseStats <: Statistics
# federated learning stats
num_comm_rounds::Int
num_clients_per_round::Int
num_total_clients::Int
# machine learning stats
num_weights::Int
losses::Vector{Float32}
accuraci... | [
27,
456,
62,
30783,
29,
15,
198,
37811,
198,
220,
220,
220,
7308,
29668,
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198,
6109,
9756,
2219,
284,
597,
8398,
13,
198,
37811,
198,
76,
18187,
2878,
7308,
29668,
1279,
25,
14370,
198,
220,
220,
220,
1303,
28062,
515,
4673,
975... | 2.247582 | 517 |
<gh_stars>0
# Note that this script can accept some limited command-line arguments, run
# `julia build_tarballs.jl --help` to see a usage message.
using BinaryBuilder
name = "SDPA_GMP-QD-DD_Builder"
version = v"7.1.2"
# Collection of sources required to build SDPABuilder
sources = [
"https://github.com/ericphanso... | [
27,
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62,
30783,
29,
15,
198,
2,
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326,
428,
4226,
460,
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3141,
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11,
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2,
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73,
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21591,
13,
20362,
1377,
16794,
63,
284,
766,
257,
8748,
3275,
13,
198,
3500,... | 2.439139 | 1,487 |
<filename>train_FFN_FIIa_trajectory.jl
# include -
include("Include.jl")
# This script requires Flux.jl (we manually include here, its takes a while to load)
using Flux
using Flux: @epochs
# how many training data sets do we have?
number_of_synthetic_patients = 500
trajectory_range = range(1,stop=2001,step=100) |> c... | [
27,
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29,
27432,
62,
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62,
37,
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64,
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198,
2,
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532,
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818,
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198,
198,
2,
770,
4226,
4433,
1610,
2821,
13,
20362,
357,
732,
14500,
2291,
994,... | 2.548446 | 547 |
<filename>JL-17.jl
#=
P17 (*) Split a list into two parts; the length of the first part is given.
Do not use any predefined predicates.
Example:
* (split '(a b c d e f g h i k) 3)
( (A B C) (D E F G H I K))
=#
function my_split(coll, index)
vcat(Vector{}[coll[1:index]], Vector{}[coll[index + 1:end]])
end
splitte... | [
27,
34345,
29,
41,
43,
12,
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13,
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198,
2,
28,
198,
47,
1558,
20789,
8,
27758,
257,
1351,
656,
734,
3354,
26,
262,
4129,
286,
262,
717,
636,
318,
1813,
13,
198,
5211,
407,
779,
597,
2747,
18156,
2747,
16856,
13,
198,
19... | 2.141026 | 234 |
module potentials
export Potential, BoxPotential
type Potential
A::Function
B::Function
E::Function
basis_function::Function
end
fcos(s, n::Int, i::Int, j::Int) = cospi((i+j)/2)*sinc((i+j+2*n*s)/2)
fsin(s, n::Int, i::Int, j::Int) = sinpi((i+j+n)/2)*sinc((i+j+n*s)/2)
function A(s, n::Int, i::Int, j::... | [
21412,
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82,
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220,
220,
220,
317,
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220,
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198,
220,
220,
220,
412,
3712,
22203,
198,
220,
220,
220,
4308,
62,
8... | 1.854922 | 579 |
module Variance
require("Corpora.jl")
require("CommonTools.jl")
require("CVMAbstract.jl")
require("DataTypes.jl")
## Imports
using DataTypes
using Base.LinAlg.BLAS.axpy!
using Corpora.Token
using Corpora.text
using CommonTools: tanh, square!, l2sq, l2sq_distance, mult_by_0!
using CommonTools: add!, subtract_vec_matri... | [
21412,
15965,
590,
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13,
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4943,
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7203,
34,
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23839,
13,
20362,
4943,
198,
46115,
7203,
6601,
31431,
13,
20362,
4943,
198,
198,
2235,... | 1.973412 | 2,031 |
using FileIO
using SubmodularMaximization
using JLD2
using Printf
experiment_name = "weights_by_number_of_robots"
cache_folder = string("./data/", experiment_name, "/")
file_pattern = r".*jld2"
for file in readdir(cache_folder)
if occursin(file_pattern, file)
print("Reendocding: ", file, "...")
file_path ... | [
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9220,
9399,
198,
3500,
3834,
4666,
934,
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320,
1634,
198,
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449,
11163,
17,
198,
3500,
12578,
69,
198,
198,
23100,
3681,
62,
3672,
796,
366,
43775,
62,
1525,
62,
17618,
62,
1659,
62,
22609,
1747,
1,
198,
23870,
62,
43... | 2.73822 | 191 |
@doc raw"""
AcousticPerturbationEquations2D(v_mean, c_mean, rho_mean)
!!! warning "Experimental code"
This system of equations is experimental and may change in any future release.
Acoustic perturbation equations in two space dimensions with constant mean flow. `v_mean` is a tuple
of size two holding the mean... | [
31,
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37811,
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220,
220,
220,
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602,
17,
35,
7,
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62,
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62,
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8,
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198,
10185,
6509,
366,
20468,
9134,
2438,
1,
198,
220,
220,
... | 2.580544 | 1,912 |
using Documenter, Gadfly
load_dir(x) = map(file -> joinpath("lib", x, file), readdir(joinpath(Base.source_dir(), "src", "lib", x)))
makedocs(
modules = [Gadfly],
clean = false,
format = Documenter.Formats.HTML,
sitename = "Gadfly.jl",
pages = Any[
"Home" => "index.md",
"Tutorial" =... | [
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7,
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11,
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7,
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6978,
7,
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13,
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62,
15908,
22784,
366,
10677,
16... | 1.904401 | 659 |
struct ForwardLocal <: MainPathAlgorithm end
struct ForwardLocalResult{T<:Integer, U<:Real} <: MainPathResult
edges::Vector{Edge{T}}
weights::Vector{U}
end
function forward_local(
g::AbstractGraph{T},
s::Vector{R},
weights::AbstractMatrix{U}
) where {T,R <: Integer} where U <: Real
sink = ifelse.(outd... | [
198,
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1279,
25,
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886,
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14565,
23004,
90,
51,
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25,
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11,
471,
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25,
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25,
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198,
220,
13015,
3712,
38469,
90,
37021,
90,
51,
... | 2.472952 | 647 |
<reponame>JuliaCutCell/CartesianCutCell.jl
"""
"""
forwarddiff
function forwarddiff(bc, n)
opn = _forwarddiff.(bc, n)
eye = Eye{Bool}.(n)
_forwarddiff(opn, eye)
end
_forwarddiff(::Dirichlet, n::Int) =
Bidiagonal(-ones(n), ones(n-1), :U)
_forwarddiff(::Periodic, n::Int) =
spdiagm(1-n => ones(1),
... | [
27,
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261,
480,
29,
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544,
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28780,
14,
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26254,
28780,
13,
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198,
37811,
198,
37811,
198,
11813,
26069,
198,
198,
8818,
2651,
26069,
7,
15630,
11,
299,
8,
198,
220,
220,
220,
1034,
77,
796,
4808,
11813,... | 2.00545 | 734 |
using Minesweeper
# play in REPL
# enter coordinates as: row_index column_index
play()
# pass custom game to play
game = Game(dims=(20,10), n_mines=35)
play(game)
| [
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732,
5723,
198,
198,
2,
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287,
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198,
2,
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62,
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5721,
62,
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198,
1759,
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198,
198,
2,
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983,
284,
711,
198,
6057,
796,
3776,
7,
67,
12078,
16193,
1238,
11,
940,... | 2.844828 | 58 |
<filename>src/EventUtils/download_data.jl
# Taken from https://github.com/cmcaine/advent2020/blob/main/scripts/get-data.jl
aoc_cookie = try
read(joinpath(@__DIR__, "cookie"), String)
catch
println("No cookie provided for the AoC website. Save your cookie in a file called 'cookie' in the /src/EventUtils folder")... | [
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12,
7890,
13,
2... | 2.715328 | 274 |
<filename>test/devtest.jl
using Revise
using FRGRealTime
using FRGRealTime.MathFuns
using FRGRealTime.ThresholdFunctions
ThresholdFunctions.ImFb2(1.0,1.0,1.0,1.0,0.1)
Eb(1.0,1.0)
ThresholdFunction
| [
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37,
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201,
198,
3500,
8782,
10761,
2287,
7575,
13,
817,
10126,
246... | 2.147368 | 95 |
module TestReaderWriter
using TSML
using TSMLextra
using Test
function test_csv()
gcdims = (8761,2)
ssum = 97564.0
resdf=DataFrame()
datapath=joinpath(dirname(pathof(TSMLextra)),"../data")
outputfname = joinpath(tempdir(),"testdateval.csv")
basefilename = "testdateval"
fname = joinpath(dat... | [
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5805,
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198,
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62,
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220,
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12078,
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357,
23,
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16,
11,
17,
8,
198,
220,
220,
... | 2.246548 | 1,521 |
# Return flat index into arrray of (n, m) pairs.
# Assumes array is ordered as
# [
# (n, m)
# for n in 0:n_max
# for m in -n:n
# ]
@inline nm_index(n, m) = m + n * (n + 1) + 1
"""
H_recursion_coefficients(ℓₘₐₓ, T)
Pre-compute constants used in Wigner H recursion.
"""
function H_recursion_coefficie... | [
2,
8229,
6228,
6376,
656,
5240,
2433,
286,
357,
77,
11,
285,
8,
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2,
2195,
8139,
7177,
318,
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355,
198,
2,
220,
220,
685,
198,
2,
220,
220,
220,
220,
357,
77,
11,
285,
8,
198,
2,
220,
220,
220,
220,
329,
29... | 1.312728 | 8,493 |
<reponame>exanauts/JuliaCon2020
module Precondition
using CUDA
using CUDA.CUSPARSE
using KernelAbstractions
using LightGraphs
using LinearAlgebra
using Metis
using SparseArrays
using TimerOutputs
cuzeros = CUDA.zeros
abstract type AbstractPreconditioner end
struct NoPreconditioner <: AbstractPreconditioner end
mut... | [
27,
7856,
261,
480,
29,
1069,
2271,
5500,
14,
16980,
544,
3103,
42334,
198,
21412,
3771,
31448,
198,
198,
3500,
29369,
5631,
198,
3500,
29369,
5631,
13,
34,
2937,
27082,
5188,
198,
3500,
32169,
23839,
507,
198,
3500,
4401,
37065,
82,
... | 1.832477 | 3,307 |
<filename>src/ForwardDiff.jl
module ForwardDiff
using DiffRules, DiffResults
using DiffResults: DiffResult, MutableDiffResult, ImmutableDiffResult
using StaticArrays
if VERSION >= v"1.6"
using Preferences
end
using Random
using LinearAlgebra
import SIMD: Vec
import Printf
import NaNMath
import SpecialFunctions
im... | [
27,
34345,
29,
10677,
14,
39746,
28813,
13,
20362,
198,
21412,
19530,
28813,
198,
198,
3500,
10631,
37766,
11,
10631,
25468,
198,
3500,
10631,
25468,
25,
10631,
23004,
11,
13859,
540,
28813,
23004,
11,
9543,
18187,
28813,
23004,
198,
3500... | 2.584337 | 332 |
<filename>src/Memoize.jl
macro memoize(cache_var)
filename = String(cache_var) * ".jld2"
quote
if !isfile( $filename )
@save $filename $cache_var
else
@load $filename $cache_var
end
end
end
macro memoize(cache_var, fn)
filename = String(cache_var) * ".jl... | [
27,
34345,
29,
10677,
14,
13579,
78,
1096,
13,
20362,
198,
20285,
305,
16155,
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17,
1,
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220,
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9577,
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... | 1.923077 | 260 |
import Base.push!
#----------------------------------------------------------------------------------------------------
"""
monomial_compress(io_equation, ode)
Compresses an input-output equation for the rank computation
Input:
- `io_equation` - input-output equation
- `ode` - the corresponding ODE model
Outpu... | [
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4279,... | 2.284442 | 3,368 |
module BondGraphs
import Graphs as g
import Base: RefValue, eltype, show, in, iterate, ==, getproperty
import ModelingToolkit: parameters, states, equations # Importing means names can be reused, but may be confusing
using StaticArrays
using ModelingToolkit
using DifferentialEquations
using SymbolicUtils, SymbolicUti... | [
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... | 3.355556 | 405 |
<filename>src/Decapodes.jl
module Decapodes
using Requires
include("Diagrams.jl")
include("OpenDiagrams.jl")
include("Schedules.jl")
include("Simulations.jl")
include("Examples.jl")
function __init__()
@require CairoMakie="13f3f980-e62b-5c42-98c6-ff1f3baf88f0" include("Debug.jl")
@require AlgebraicPetri="4f99eeb... | [
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... | 2.321212 | 165 |
module StatsDiscretizations
using Reexport
using Dictionaries
using Discretizers
@reexport using Distributions
import Distributions: pdf, logpdf, cdf, ccdf
using Infinity
using Infinity.Utils
@reexport using IntervalSets
using Requires
@reexport using StatsBase
include("intervals.jl")
include("distributions_inte... | [
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756... | 2.893617 | 235 |
<gh_stars>1-10
using CyclicArrays
using Plots
using Statistics
using LaTeXStrings
# 1d array example
faces=zeros(1,1,2,4);
faces[1,1,1,:]=[1,1,2,0];
faces[1,1,2,:]=[1,1,1,0];
grid=CyclicArray(faces);
x=[-3:0.1:3;];
rho0=exp.(-(x).^2)
rho0=10*rho0/sum(rho0);
DT=0.5;
DX=1;
NT=400;
rho1=zeros(length(rho0));
crho0=Cy... | [
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11... | 1.697761 | 536 |
module KernelsTests
using CellwiseValues
using TensorValues
k = NumberKernelFromFunction(-)
test_number_kernel(k,1,4,3)
test_number_kernel(k,-1.0,1.0)
k = NumberKernelFromFunction(sum)
test_number_kernel(k,7,[1,2,4])
k = ArrayKernelFromBroadcastedFunction(*)
test_array_kernel(k,[3,4,3],[1,2,3],[3,2,1])
test_ar... | [
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... | 1.964736 | 397 |
struct TransmissionRates <: AbstractTN
external::Vector{Float64}
internal::Array{Float64, 2}
function TransmissionRates(individuals::Integer)
return new(fill(0., individuals),
fill(0., (individuals, individuals)))
end
function TransmissionRates(e::Vector{Float64},
... | [
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... | 2.497462 | 197 |
<gh_stars>10-100
# Defines streaming types and operators
abstract WallStreaming <: Streaming
abstract IOLetStreaming <: Streaming
immutable FluidStreaming <: Streaming; end
immutable NullStreaming <: Streaming; end
immutable HalfWayBounceBack <: Streaming; end
const NULLSTREAMER = NullStreaming()
# Do nothing when str... | [
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... | 3.248619 | 543 |
struct LockandKeyLookup{ A <: Function, B <: Function, C <: Function, K, T }
key::K
tumbler::T
key_lookup_fn::A
pin_lookup_fn::B
emission_fn::C
key_length::Int
tumblers::Vector{ Int }
end
#Sizes of the return collection cannot be known at run time! Base.SizeUnknown() is the secret sauce to ... | [
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... | 2.276302 | 2,899 |
<reponame>ChrisRackauckas/RNG.jl<gh_stars>0
__precompile__(true)
"""
The module for [Xorshift Family](@ref).
Provide 11 RNG types:
- [`Xorshift64`](@ref)
- [`Xorshift64Star`](@ref)
- [`Xorshift128`](@ref)
- [`Xorshift128Star`](@ref)
- [`Xorshift128Plus`](@ref)
- [`Xorshift1024`](@ref)
- [`Xorshift1024Star`](@ref)
- ... | [
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module GeneSets
# Write your package code here.
include("gset_struct.jl")
export GeneSet, AbstractGeneSet, get_msigdb
end
| [
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] | 3.02439 | 41 |
<filename>src/interaction/events.jl<gh_stars>10-100
function disconnect!(window::AbstractScreen, signal)
disconnect!(to_native(window), signal)
end
window_area(scene, native_window) = not_implemented_for(native_window)
window_open(scene, native_window) = not_implemented_for(native_window)
mouse_buttons(scene, nativ... | [
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... | 2.915122 | 1,025 |
module DeprecatedTest
using Test
using MathOptInterface
using ConstraintProgrammingExtensions
const MOI = MathOptInterface
const MOIU = MOI.Utilities
const MOIT = MOI.DeprecatedTest
const CP = ConstraintProgrammingExtensions
# Test sets.
include("alldifferent.jl")
include("antidomain.jl")
include("binpacking.jl")
in... | [
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1827... | 3.130081 | 246 |
<filename>src/unpack/unpack_simd_512.jl
# AVX-512 (64 bytes)
const shuffle_48_bytes_to_64 = ( shuffle_24_bytes_to_32..., shuffle_24_bytes_to_32 .+ 24... )
const shuffle_48_bytes_to_64_val = Val{shuffle_48_bytes_to_64}()
const shuffle_48_bytes_to_64_m8_val = Val{shuffle_48_bytes_to_64 .+ 8}()
const shuffle_48_bytes_to_6... | [
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62,
... | 2.268222 | 1,029 |
using Documenter, PAPA
makedocs(;
modules=[PAPA],
format=Documenter.HTML(),
pages=[
"Home" => "index.md",
],
repo="https://qiplab.bbn.com/matthewware/PAPA.jl/blob/{commit}{path}#L{line}",
sitename="PAPA.jl",
authors="<NAME>",
assets=String[],
)
| [
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... | 2.014085 | 142 |
UI = UncertainValueDataset(example_uidxs)
UV = UncertainValueDataset(example_uvals)
UIV = UncertainIndexValueDataset(UI, UV)
n = 3
@test resample(UIV) isa Tuple{Vector}
@test resample(UIV, n) isa Vector{Tuple{Vector}} | [
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<filename>src/web/model_ObjsResources.jl<gh_stars>1-10
# This file was generated by the Julia Swagger Code Generator
# Do not modify this file directly. Modify the swagger specification instead.
@doc raw"""
ObjsResources(;
excluded_ids=nothing,
ids=nothing,
wildcard=nothing,
)
- e... | [
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... | 2.789116 | 735 |
<filename>test/test_monotonic_risk_region.jl
using TailRiskScenGen: MonotonicRiskRegion, SurvivorApproximator, prob_nonrisk
using Distributions
using DataStructures
using LinearAlgebra: I
using StatsFuns
d = 2
N = 10000
α = 0.99
β = 0.95
dist = MvNormal(Array{Float64}(I, d, d))
sample = rand(dist, N)
surv = SurvivorAp... | [
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... | 2.367698 | 291 |
<filename>test/operationstest.jl
te = [-0.112639 0.124715 0.124715 0.268717 0.124715 0.268717 0.268717 0.046154]
st = SymmetricTensor(reshape(te, (2,2,2)))
Random.seed!(43)
c = cumulants(randn(1000, 20), 4)
@testset "axiliary functions" begin
@test rep((1,2,3)) == 6
@test rep((1,2,2)) == 3
@test rep((1,1,1... | [
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1... | 1.915033 | 306 |
# ] activate "I:\My Documents\00 AFIT\Research\Julia Projects\StrategyGames"
using Pkg; Pkg.activate(pwd())
############################
#
# Scratch work for results collection
#
###########################
## Robust collection
# # build nominal fixed attacker strategy (NE)
# pdbr = vcat(fill(0.95, gs.... | [
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struct KeyFrame
id::Int64
left_pyramid::Union{Nothing, LKPyramid{Vector{Matrix{Gray{Float64}}}, LKCache}}
right_image::Union{Nothing, Matrix{Gray{Float64}}}
end
mutable struct Mapper
params::Params
map_manager::MapManager
estimator::Estimator
current_frame::Frame
keyframe_queue::Vector... | [
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# ============================================================
# Mathematical Methods
# ============================================================
export linspace, heaviside, fortsign, mat_split
export finite_difference
export central_diff, central_diff!, central_diff2, central_diff2!
export upwind_diff, upwind_diff... | [
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... | 3.413333 | 225 |
using FactCheck
include("returns.jl")
include("methods.jl")
include("const.jl")
include("helpers.jl")
exitstatus()
| [
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<gh_stars>0
# Submodule for imaging functions
#######################################
# Function to resize an array representation
# of an image to a certain number of pixeles
function resize_image(f, N)
if size(f, 1) > size(f, 2)
f = reshape(f, size(f, 2), size(f, 1), size(f, 3));
end
P = size(f, 1);
# ad... | [
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<reponame>brianyjtai1994/Serebyi.jl
module Serebyi
export @unit_convert!
include("units.jl")
end # module
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4... | 2.319149 | 47 |
<gh_stars>10-100
#Using the convention that generator satisfies ϕ(0) = 1 (this is opposite to e.g. https://en.wikipedia.org/wiki/Copula_(probability_theory))
# We should follow closely
# https://www.uni-ulm.de/fileadmin/website_uni_ulm/mawi.inst.zawa/forschung/preprintmariushofert.pdf
# for the implementation of... | [
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268,
13,
31266,
13,
2398,
14,
15466,
14,
13379,
4712,
41... | 2.043683 | 1,488 |
module BinaryRecordReader
using MacroTools
export @construct_reader, construct_reader_deep, construct_reader_shallow
global const def_reads = Set{DataType}()
macro construct_reader(Struct, dims)
array_specs = eval(dims)
s = eval(:($__module__.$Struct))
esc(construct_reader_exp(s, array_specs))
end
"""... | [
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825,
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... | 2.344585 | 2,133 |
using NavAbilitySDK
using Documenter
DocMeta.setdocmeta!(NavAbilitySDK, :DocTestSetup, :(using NavAbilitySDK); recursive=true)
makedocs(;
modules=[NavAbilitySDK],
authors="NavAbility",
repo="https://github.com/NavAbility/NavAbilitySDK.jl/blob/{commit}{path}#{line}",
sitename="NavAbilitySDK.jl",
fo... | [
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8,
198,... | 2.355556 | 270 |
<reponame>aviks/Datetime.jl
using Datetime
y = year(1)
m = months(1)
w = weeks(1)
d = days(1)
h = hour(1)
mi = minute(1)
s = second(1)
#Period arithmetic
Base.Test.@test typeof(y+m) == Month{ISOCalendar}
Base.Test.@test typeof(m+y) == Month{ISOCalendar}
Base.Test.@test typeof(y+w) == Week{ISOCalendar}
Base.Test.@t... | [
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7... | 2.177401 | 8,027 |
<reponame>JuliaTagBot/ModelSelection.jl
const ALLSUBSETREGRESSION_EXTRAKEY = :allsubsetregression
const FIXEDVARIABLES_DEFAULT = nothing
const INSAMPLE_MIN = 20
const OUTSAMPLE_DEFAULT = 20
const CRITERIA_DEFAULT = []
const MODELAVG_DEFAULT = false
const TTEST_DEFAULT = false
const RESIDUALTEST_DEFAULT = false
const OR... | [
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150... | 2.008917 | 785 |
# <NAME>. and <NAME>. (1999), Motivational control of caching
# behaviour in the scrub jay (Aphelocoma coerulescens), Animal Behaviour,
# 2:435-444
function _summarize(::Experiment{:Clayton99C_exp1}, results)
combine(groupby(results, [:group, :foodtype, :action, :stage]),
df -> DataFrame(μ = mean(df.counts)... | [
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<gh_stars>0
# using XFields
# using Test
using LinearAlgebra
#%%
#%% =========================================
Σₒ, Γₒ, Cₒ, rFT, rFTplan, gr, fk_sim = let
# 1-d vector of length N
N = 12
# set up the FFT matrices
rFT = rFFT(nᵢ=(N,),pᵢ=(1.0,))
gr = Grid(rFT)
𝒲 = [exp(-im * 2π * (k-1)*(... | [
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11,
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1... | 1.667154 | 2,052 |
<reponame>comonicon/ComoniconTargetExpr.jl
module TestLeafOptions
using ComoniconTypes
using ComoniconTargetExpr
using ComoniconTargetExpr: emit_expr, emit_body, emit_norm_body, emit_dash_body
using Test
const test_args = Ref{Vector{Any}}()
const test_kwargs = Ref{Vector{Any}}()
function foo(;kwargs...)
test_kwa... | [
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261,
... | 2.093315 | 718 |
module GodRays
using ..Ahorn, Maple
placements = Maple.GodRays
function Ahorn.canFgBg(effect::Maple.GodRays)
return true, true
end
end | [
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19... | 2.535714 | 56 |
module TestScikitLearn
# using Revise
using MLJBase
using Test
using LinearAlgebra
import MLJModels
import ScikitLearn
using MLJModels.ScikitLearn_
using CategoricalArrays
## CLASSIFIERS
@test_logs (:warn,"kernel parameter is not valid, setting to default=\"rbf\" \n") SVMClassifier(kernel="wrong")
@test_logs (:warn... | [
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41... | 2.258242 | 1,638 |
<filename>src/Numerics/DGMethods/DGFVModel.jl
include("DGFVModel_kernels.jl")
struct DGFVModel{BL, G, FVR, NFND, NFD, GNF, AS, DS, HDS, D, DD, MD, GF, TF} <:
SpaceDiscretization
balance_law::BL
grid::G
fv_reconstruction::FVR
numerical_flux_first_order::NFND
numerical_flux_second_order::NFD
... | [
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### A Pluto.jl notebook ###
# v0.15.1
using Markdown
using InteractiveUtils
# ╔═╡ 9f0add20-11db-11ec-31c8-1933ca9b19c4
begin
using MortalityTables
using DataFrames
using IterTools
using BenchmarkTools
end
# ╔═╡ 1ed5e587-d0eb-4dc2-bedc-00d13f258ecd
begin
using PlutoUI
TableOfContents()
end
# ╔═╡ d8fa5c6d-4fd3-... | [
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... | 1.987936 | 9,781 |
<filename>src/record_video.jl
const vfname = "puppersim.mp4" # Video file name
##################################################### functions
function finish_recording(s::mjSim)
# Primarily see avio.jl reference in render function below. Also of potential interest:
# https://github.com/JuliaIO/VideoIO.jl... | [
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546... | 2.232586 | 1,651 |
using AstroImages, FITSIO, Images
using Test
import AstroImages: _float, render
@testset "Conversion to float and fixed-point" begin
@testset "Float" begin
for T in (Float16, Float32, Float64)
@test _float(T(-9.8)) === T(-9.8)
@test _float(T(12.3)) === T(12.3)
end
end
... | [
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... | 1.864706 | 850 |
<gh_stars>10-100
BaseTopicModel = Union{AbstractLDA, AbstractfLDA, AbstractCTM, AbstractfCTM} | [
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] | 2.818182 | 33 |
import Term: Theme
@testset "\e[34mtheme" begin
show(devnull, Theme()) # coverage
@test true
end
# TODO: write more tests
| [
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16... | 2.66 | 50 |
#using Gtk, Test
@testset "tree" begin
window = GtkWindow("GtkTree", 300, 100) #errors out #<----
boxtop = GtkBox(:v) # vertical box, basic structure
wscroll = GtkScrolledWindow()
function itemlist(types, rownames)
@assert length(types) == length(rownames)
list = GtkTreeStore(types...) #treeStore : list... | [
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... | 2.437562 | 1,001 |
<reponame>jmurga/ABC-MK.jl<filename>scripts/features.jl
using QuadGK
using SpecialFunctions
using Roots
using RCall
function Gammadist(gamma)
return ((adap.be^adap.al)/SpecialFunctions.gamma(adap.al))*(gamma^(adap.al-1))*exp(-adap.be*gamma)
end
function pip0(gamma)
U = 4*adap.theta_f*adap.Lf/(2.0*adap.NN)
R = 2*ad... | [
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402... | 1.960784 | 2,193 |
#
# BoundarForces.jl
# CollagenPolymer
#
# Created by <NAME> on 04/08/2020.
#
#
module BoundaryForces
# Import Julia packages
using LinearAlgebra
using StaticArrays
# Import local program modules
@views function boundaryForces!(boundaryList,pos,F,ϵ,nGrid,boxSize,dxMatrix,rₘ)
# Boundary forces
for (particle,d... | [
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2,
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2,
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30149,
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728... | 2.075061 | 413 |
module ESNICE_examples
using Statistics
using FinEtools
using FinEtools.MeshImportModule
using FinEtools.MeshExportModule
using LinearAlgebra: dot
using Arpack
using LinearAlgebra
using SparseArrays
using PGFPlotsX
using Test
using StatsBase
function ESNICE_energies()
E = 1e6*phun("PA");
nu = 0.0;
L = 2*ph... | [
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1... | 1.972658 | 2,487 |
<filename>symbolic/sym3/src/core/utils.jl
# Return x, or default value if it's nothing
defaultTo(x, default) = x ≠ nothing ? x : default
# Clear collection (seems to be pretty efficient)
clear(collection) = filter(_ -> false, collection)
clear!(collection) = filter!(_ -> false, collection)
# To string + add brackets ... | [
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2124... | 2.414938 | 482 |
module FrankieMae
import Pandas
import Dates
# ReadFiles
fmopen(parentpath,startrange,endrange) = begin
## for daterange, create an array where 1:4 is repeated endrange-(startrange+1) and with startrange quarter:4 appended to front and 1:endrange quarter is appended to the end
daterange =
[Pandas.read_csv(
join(... | [
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8,
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198,
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288,
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11,
2251,
281,
7177,... | 3.090226 | 133 |
function PascalDistribution(arg0::jint, arg1::jdouble)
return PascalDistribution((jint, jdouble), arg0, arg1)
end
function cumulative_probability(obj::PascalDistribution, arg0::jint)
return jcall(obj, "cumulativeProbability", jdouble, (jint,), arg0)
end
function get_number_of_successes(obj::PascalDistribution... | [
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... | 2.819127 | 481 |
function save_features_instance!(db::SQLite.DB, name, scenario, source_type, source_path)
println("Saving instance features: ($name, $scenario)")
network = PowerFlowNetwork(source_path, source_type)
merge_duplicate_branch!(network)
features = get_features_instance(network)
query = "UPDATE instances ... | [
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1416,
39055,... | 2.522628 | 685 |
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