content stringlengths 6 1.03M | input_ids listlengths 4 535k | ratio_char_token float64 0.68 8.61 | token_count int64 4 535k |
|---|---|---|---|
module MathOptInterfaceECOS
export ECOSOptimizer
using MathOptInterface
const MOI = MathOptInterface
const CI = MOI.ConstraintIndex
const VI = MOI.VariableIndex
const MOIU = MOI.Utilities
const SF = Union{MOI.SingleVariable, MOI.ScalarAffineFunction{Float64}, MOI.VectorOfVariables, MOI.VectorAffineFunction{Float64}... | [
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19... | 2.765781 | 602 |
using Test
using LinearAlgebra
using StaticArrays
using IFGF
K(x,y) = 1/norm(x-y)
IFGF.wavenumber(::typeof(K)) = 0
@testset "Near field" begin
@testset "Single leaf" begin
nx,ny = 100, 200
nz = 5
Xpts = rand(SVector{2,Float64},nx)
Ypts = rand(SVector{2,Float64},ny)
p ... | [
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4... | 1.651624 | 1,817 |
<reponame>mcx/RoboDojo.jl
@testset "Robots: particle" begin
# TODO: add tests
q0 = nominal_configuration(particle)
# visualizer
vis = RoboDojo.Visualizer();
@test visualize!(vis, particle, [q0], Δt=0.1);
end | [
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<reponame>mwarusz/CLIMA
refVals = []
refPrecs = []
#! format: off
# SC ========== Test number 1 reference values and precision match template. =======
# SC ========== /home/jmc/cliMa/cliMa_update/test/Ocean/SplitExplicit/simple_box_2dt.jl test reference values ======================================
# BEGIN SCPRINT
# v... | [
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using SubHunt
using Base.Test
using POMDPs
using POMDPToolbox
using DiscreteValueIteration
using QMDP
using ParticleFilters
using Plots
pomdp = SubHuntPOMDP()
# show(STDOUT, MIME("text/plain"), SubVis(pomdp))
rng = MersenneTwister(6000)
# policy = RandomPolicy(pomdp, rng=rng)
solver = QMDPSolver()
if !isdefined(:p... | [
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... | 2.224868 | 378 |
<gh_stars>10-100
InputFolder = './Images/NucleiNoisy/';
OutputFolder = './Results/Images/NucleiNoisy/';
@iA = '*.tif';
@fxg_gDenoiseBM3 [iA] > [D, An];
params.AddNoiseVar = 0;
/endf
/show iA >;
/show D >;
/keep D > tif; | [
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... | 2.074766 | 107 |
<reponame>konkam/approximatingBNPpriors
using RCall, JLD
R"
library(gridExtra)
library(cowplot)
library(tidyverse)
library(latex2exp)
library(viridis)
"
function plot_draw_prior_distribution(df,N,beta,sigma,y_l,x_lab,n,m)
ps_sb_py = smooth_pk(df.Pkn_SB[1:N])
R"p = ggplot(data.frame(k ... | [
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19... | 1.83205 | 1,429 |
# This dictionary maps easy to remember names to Youtube video IDs
# after adding an ID here, you can use the {{youtube <shortname>}}
# syntax in your markdown files to embed the video into the page!
videos = Dict(
"installation" => "OOjKEgbt8AI",
"jupyter-notebooks" => "MFgMO8Xwx-k",
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... | 1.88253 | 332 |
# This file was generated, do not modify it. # hide
@show size(auto)
@show nrow(auto)
@show ncol(auto) | [
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8
] | 2.833333 | 36 |
<filename>test/runtests.jl
using DiffusionMap
using Test
@testset "DiffusionMap.jl" begin
# Write your own tests here.
end
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"""
#checks for parity errors.
$(SIGNATURES)
# Details
# Uses the parity algorithm to compute parity and compare them to given parity bits
"""
function parity_check(word, prev_29, prev_30)
# Parity check to verify the data integrity:
D_25 = prev_29 ⊻ word[1] ⊻ word[2] ⊻ word[3] ⊻ wo... | [
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<filename>src/initiation/initiation.jl
include("meshing/meshing.jl")
include("init_model.jl")
include("init_receiver.jl")
include("init_source.jl")
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"""
MatAcoustFluidModule
Module for acoustic-fluid material.
"""
module MatAcoustFluidModule
using FinEtools.FTypesModule: FInt, FFlt, FCplxFlt, FFltVec, FIntVec, FFltMat, FIntMat, FMat, FVec, FDataDict
# Class for acoustic fluid models of Mats.
struct MatAcoustFluid
bulk_modulus::FFlt;# Bulk modulus
mass_d... | [
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<gh_stars>1-10
export VectorizedHermitianMatrix
"""
struct VectorizedHermitianMatrix{T} <: AbstractMatrix{Complex{T}}
Q::Vector{T}
n::Int
end
Hermitian ``n \\times n`` matrix storing the vectorized upper triangular
real part of the matrix followed by the vectorized upper triangular
imaginary p... | [
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import GreyDecision.GreyNumbers: GreyNumber
import GreyDecision.Saw: saw
@testset "Saw in white numbers" begin
tol = 0.0001
mat = [
GreyNumber{Float64}(25.0, 25.0) GreyNumber{Float64}(65.0, 65.0) GreyNumber{Float64}(07.0, 07.0) GreyNumber{Float64}(20.0, 20.0);
GreyNumber{Float64}(2... | [
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18005... | 2.049587 | 605 |
import Dolo
errs = Dolo.lint("LAMP_2s.yaml")
for err in errs
println(err)
end
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<reponame>UnofficialJuliaMirror/DandelionWebSockets.jl-a3dee88c-baf6-5d24-a1ed-2b752da90c9e<filename>src/core.jl
# Core defines the core WebSocket types, such as a frame and opcodes.
# Description of a WebSocket frame from https://tools.ietf.org/html/rfc6455, chapter 5.2.
#
# 0 1 ... | [
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using GridWorld
gameboard = zeros(Int8, 3, 3)
gameboard[3,1] = 1
gameboard[2,2] = 2
gameboard[1,3] = 1
function ttt(row,col)
if gameboard[row,col] == 0
return nothing
end
if gameboard[row,col] == 1
return Label("X")
end
Label("O"; color="red")
end
g = Grid(3, 3, ttt, margin_top=20, m... | [
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... | 2.227468 | 233 |
using PackageCompiler
scripts_dir = joinpath(@__DIR__, "..", "scripts")
toml_file = joinpath(scripts_dir, "Project.toml")
script = joinpath(scripts_dir, "exploration.jl")
precompiles_file = joinpath(scripts_dir, "precompiles.jl")
blacklist = ["CentroidalTrajOpt", "QPWalkingControl", "QPControl"]#, "AtlasRobot"]
sysimg... | [
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<filename>src/components/extensions/EquityWeighting_growth.jl
@defcomp EquityWeighting begin
region = Index()
# Basic information
y_year = Parameter(index=[time], unit="year")
y_year_0 = Parameter(unit="year")
# Impacts across all gases
pop_population = Parameter(index=[time, region], unit="mi... | [
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function TwoPhase(Kx::Array{T,3}, ϕ::Array{T,3}, qinj::Tuple{T1, T1, T1}, qrate::Number, d::Tuple{T2, T2, T2}, time::Number, nt::Int; Ky=nothing, Kz=nothing, o=nothing) where {T, T1, T2}
"Kx permeability, ϕ porosity, qinj injection coordinate [m], qrate injection rate [Mt/y]"
if isnothing(Ky)
Ky = Kx
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3712... | 2.003973 | 3,524 |
using GoogleSheets
# Example based upon: # https://developers.google.com/sheets/api/quickstart/python
client = sheets_client(AUTH_SCOPE_READWRITE)
# The ID and range of a sample spreadsheet.
SAMPLE_SPREADSHEET_ID = "1pG4OyAdePAelCT2fSBTVJ9lVYo6M-ApuTyeEPz49DOM"
SAMPLE_RANGE_NAME = "Sheet1"
sheet = Spreadsheet(SAMP... | [
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321... | 2.799207 | 757 |
module TestFoldl
using Test
using LazyGroupBy
using LazyGroupBy: foldxl
@testset "tuple" begin
@testset for fold in [foldl, foldxl]
foldl = nothing
@test fold.(tuple, grouped(isodd, [0, 7, 3, 1, 5, 9, 4, 3, 0, 5])) ==
Dict(false => ((0, 4), 0), true => ((((((7, 3), 1), 5), 9), 3), 5... | [
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... | 1.88565 | 446 |
<gh_stars>0
using DelimitedFiles
fishdata = readdlm("llist.txt",',',Int)
@show fishdata
function agefish(fishdata,day)
if day == 81
@show length(fishdata)
return
end
newfishes = 0
for fishidx in eachindex(fishdata)
fish = fishdata[fishidx]
if fish == 0
fish ... | [
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<gh_stars>1-10
module Blackscholes
using GPUBenchmarks, BenchmarkTools
import CUDAdrv
using CUDAnative
const cu = CUDAnative
const description = """
Blackschole is a nice benchmark for broadcasting performance.
It's a medium heavy calculation per array element, where the calculation is completely
independant from ea... | [
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... | 2.136806 | 1,747 |
<filename>test/runtests.jl
using ReinforcementLearningZoo
using Test
using ReinforcementLearningBase
using ReinforcementLearningCore
using ReinforcementLearningEnvironments
using Flux
using StatsBase
@testset "ReinforcementLearningZoo.jl" begin
include("basic_dqn.jl")
include("dqn.jl")
include("prioritize... | [
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198,... | 3.094017 | 117 |
using D3Trees
using Colors
using Printf
"""
Return text to display below the node corresponding to state or action s
"""
node_tag(s) = string(s)
"""
Return text to display in the tooltip for the node corresponding to state or action s
"""
tooltip_tag(s) = node_tag(s)
"""
Creates a D3Tree instance for a given tree.
... | [
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262,
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284,
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393,
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264,
198,
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198,
17440,
62,
12985,
7,
82,
8,
796,
4731,
7,
82,
8,
1... | 1.757922 | 1,925 |
include("networks/Network-Visualization.jl")
include("LiftAlgorithm.jl")
function lift_visualization!(fgp::FixedGraphPlot, lift_alg::LiftAlgorithm)
_lift_nodecolors!(fgp, lift_alg)
_lift_edges_visualization!(fgp, lift_alg)
return fgp
end
function _lift_nodecolors!(fgp::FixedGraphPlot, lift_alg::LiftAlgor... | [
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... | 2.137143 | 525 |
<reponame>giordano/ADI.jl<gh_stars>0
using FillArrays
"""
annular(alg, cube, angles; fwhm, ann_size=4, init=0, nframes=4, delta_rot=1)
annular(algs::AbstractVector, cube, angles; fwhm, ann_size=4, init=0, nframes=4, delta_rot=1)
"""
function annular(alg::ADIAlgorithm, cube, angles; kwargs...)
n, y, x = s... | [
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11,
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11,
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26,
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76,
11,
... | 2.207755 | 1,728 |
"""
isconstant(profile)
Return `true` if the time profile `profile` is intervalwise constant.
"""
isconstant(::TimeProfile) = false
isconstant(::PGSE) = true
isconstant(::DoublePGSE) = true
| [
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7,
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2... | 2.954545 | 66 |
module RocketGenerateObservableTest
using Test
using Rocket
include("../test_helpers.jl")
@testset "GenerateObservable" begin
println("Testing: generate")
@testset begin
source = generate(1, x -> x < 2, x -> x + 1)
io = IOBuffer()
show(io, source)
printed = String(take!(io... | [
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220... | 1.88206 | 602 |
<filename>src/collect.jl
const default_initializer = ArrayInitializer(t -> t<:Union{Tuple, NamedTuple, Pair}, (T, sz) -> similar(arrayof(T), sz))
"""
collect_columns(itr)
Collect an iterable as a `Columns` object if it iterates `Tuples` or `NamedTuples`, as a normal
`Array` otherwise.
# Examples
s = [(1,2),... | [
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... | 2.313458 | 1,174 |
using Documenter
using ModelicaScriptingTools
makedocs(
sitename = "HH-Modelica",
format = Documenter.HTML(),
modules = Module[]
)
deploydocs(
repo = "github.com/CSchoel/hh-modelica.git",
devbranch = "main",
versions = ["v^", "v#.#", "stable" => "v^"]
)
| [
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22... | 2.413793 | 116 |
# Inference algorithm for generalized bilinear model (GBM) with g(E(Y)) = XA' + BZ' + XCZ' + UDV'.
#
# Copyright (c) 2020: <NAME>.
# This file is released under the MIT "Expat" License.
module Infer
export infer
using LinearAlgebra: diag
import LinearAlgebra
Identity = LinearAlgebra.I
Diagonal = LinearAlgebra.Diagon... | [
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121... | 1.632831 | 11,812 |
<filename>src/gui/line_edit.jl
function point_attribs(mh, points_robj, line_robj)
isoverpoints, isoverlines = mh[1] == points_robj.id, mh[1] == line_robj.id
points_robj[:glow_color] = isoverpoints ? RGBA{Float32}(0.9,.1,0.2,0.9) : RGBA{Float32}(0.,0.,0.,0.)
points_robj[:visible] = isoverpoints || isoverline... | [
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... | 2.076382 | 2,985 |
function update(
registry_path = joinpath(homedir(), ".julia", "registries"),
registry_name = "General"
)
# gen_stdlib()
generate(joinpath(registry_path, registry_name))
end
| [
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1... | 2.714286 | 70 |
# Represents a stop time, which is only referenced in the transit network within trips
struct StopTime
# NB possible optimization: stop is not even needed, as it's in the pattern
# but that might not actually help, because by iterating over stop times, we are keeping everything memory locality
stop::Int64
... | [
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198... | 3.818898 | 127 |
type TwCoordinate
lon::Float32
lat::Float32
end
function TwCoordinate(d::Dict)
TwCoordinate(
get(d, "coordinates", [0])[1],
get(d, "coordinates", [0,0])[2]
)
end
| [
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6... | 2.209877 | 81 |
function welcome_message()
println("___________________________________________________________")
println(" ")
println(" Welcome to the Zilindroa Code")
println("___________________________________________________________")
end | [
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5... | 3.984615 | 65 |
export ALL_solvers
# Valid combinations
ALL_solvers = Function[]
include("ARCSpectral.jl")
push!(ALL_solvers, ARCSpectral)
include("ARCSpectral_abs.jl")
push!(ALL_solvers, ARCSpectral_abs)
include("TRSpectral.jl")
push!(ALL_solvers, TRSpectral)
include("TRSpectral_abs.jl")
push!(ALL_solvers, TRSpectral_abs)
in... | [
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... | 2.125124 | 1,007 |
<reponame>justincfeng/squirrel.jl<gh_stars>0
#-----------------------------------------------------------------------
#
# OUTLIER DETECTION FUNCTIONS
#
#-----------------------------------------------------------------------
#-----------------------------------------------------------------------
"""
combX( X::R... | [
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26... | 1.939804 | 1,329 |
<reponame>NoelAraujo/CoupledDipole.jl<gh_stars>0
using LinearAlgebra
"""
Far Fiel Condition: r_emitter^2 / 2r_observation ≪ 1
Condition comes from is the Eq (4.4) in
https://engineering.purdue.edu/wcchew/ece604f18/latex%20lecture%20notes/LectureNotes20.pdf
(A copy of the file is inside the `benchmark... | [
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... | 2.34415 | 1,171 |
<gh_stars>0
module QuadraticTools
include("Expanded.jl")
include("Factored.jl")
include("Vertex.jl")
include("Utils.jl")
export calcdelta
export calcvalue
export Expanded
export Factored
export Vertex
export toexpanded
export tofactored
export tovertex
end # module
| [
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16886,... | 2.614754 | 122 |
<reponame>meirizarrygelpi/CayleyDickson.jl
using CayleyDickson
using Base.Test: @test, @test_throws
@test begin
a = CayleyDickson.randomBigFloat()
isreal(Exo3Real(a))
end
@test begin
a = 1
!isreal(Exo3Real(a, a, a, a))
end
@test begin
z = random(Exo3Real{Int})
z == +(z)
end
@test begin
a... | [
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... | 1.924013 | 4,027 |
<reponame>probcomp/GenCurveSegmentation.jl
function trace_to_seq(trace::Trace, incl_disconnect=true)
sequence = map(enumerate(trace[:strokes])) do (i, (dir, x))
s = ["D", "U", "L", "R"][dir]
if incl_disconnect && trace[:strokes => i => :disconnect]
s = "#" * s
end
return ... | [
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... | 2.475166 | 604 |
{"timestamp": 1569423400.0, "score": 8.29, "score_count": 280468}
{"timestamp": 1567156754.0, "score": 8.29, "score_count": 278066}
{"timestamp": 1565469034.0, "score": 8.29, "score_count": 275631}
{"timestamp": 1565467195.0, "score": 8.29, "score_count": 275631}
{"timestamp": 1564796466.0, "score": 8.29, "score_count"... | [
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1315,
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13,
15,
11,
366,
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1298,
8... | 2.35775 | 14,239 |
using JinjaTemplates
""" JinjaTemplates.renders a given element tree by passing elements thru Jinja Templates """
function jinja(env, md::Markdown.MD)
env.scratch[:settings_cache] = flatten(env.settings)
stream = IOBuffer()
for element in md.content
println(stream, jinja(env, element))
end
t... | [
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7,
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11,
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3712,
9704,
2902,
13,
... | 2.339772 | 2,278 |
<reponame>JuliaReach/ARCH2021_AFF_RE<filename>models/ISS/ISS_benchmark.jl
using BenchmarkTools, Plots, Plots.PlotMeasures, LaTeXStrings
using BenchmarkTools: minimum, median
SUITE = BenchmarkGroup()
model = "ISS"
cases = ["ISSF01-ISS01", "ISSF01-ISU01",
"ISSF01-ISS01-discrete", "ISSF01-ISU01-discrete",
... | [
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11,
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11,
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1747,
13,... | 2.288513 | 3,012 |
using Makie
s=Scene()
xy1, xz1, xy2, xz2 = -1., -1., 1., 1.
lines!(s,[0.,0.,0.,0.,0.],[xy1,xy1,xy2,xy2,xy1],[xz1,xz2,xz2,xz1,xz1])
b=vec(Point3f0.([0.,0.,0.,0.],[xy1,xy1,xy2,xy2],[xz1,xz2,xz2,xz1]))
u=vec(Point3f0.([0.,0.,0.,0.],[0,xy2-xy1,0.,xy1-xy2],[xz2-xz1,0.,xz1-xz2,0]))
arrows!(s,b,u)
yz1, yx1, yz2, yx2 = -1., ... | [
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... | 1.460457 | 569 |
<filename>src/GMT.jl
module GMT
using Printf
# Need to know what GMT version is available or if none at all to warn users on how to
# install GMT.
try
# Due to a likely Julia bug next command fails when this file called with 'using'
#ver_s = @capture_out run(`gmt --version`);
#@show(length(ver_s)) # Prints 0 len... | [
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... | 2.611507 | 1,825 |
<gh_stars>0
isbanded(A::AbstractTriangular) = isbanded(parent(A))
bandwidths(A::Union{UpperTriangular,UnitUpperTriangular}) =
(min(0,bandwidth(parent(A),1)), bandwidth(parent(A),2))
bandwidths(A::Union{LowerTriangular,UnitLowerTriangular}) =
(bandwidth(parent(A),1), min(0,bandwidth(parent(A),2)))
triangularl... | [
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148... | 1.840959 | 1,836 |
<filename>src/types.jl
# ==============================================================================
# Trop{T} types
# Fake templates to make difference between Min-Plus and Max-Plus numbers
struct Min end
struct Max end
const MM = Union{Min, Max}
# Base class for Max-Plus and Min-Plus structures
struct Trop{T <: ... | [
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... | 2.820574 | 418 |
"
Test for projected newton QP solver
author: <NAME>
"
using ArgMin
using Test
function test_solve_qp_with_projected_newton1()
println("test_solve_qp_with_projected_newton1")
n = 5
g = randn(n)
H = randn(n,n)
H = H*H'
lower = -ones(n)
upper = ones(n)
xstar, status = sol... | [
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3... | 1.734242 | 587 |
<reponame>UnofficialJuliaMirrorSnapshots/Gridap.jl-56d4f2e9-7ea1-5844-9cf6-b9c51ca7ce8e<gh_stars>0
module Assemblers
using Gridap
using Gridap.Helpers
using SparseArrays
using SparseMatricesCSR
export Assembler
export SparseMatrixAssembler
export assemble
export assemble!
export sparse_from_coo
"""
Abstract assemb... | [
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24,
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344,
... | 2.37666 | 2,108 |
module Util
export find_extremes, random_cities
"""
find_extremes(array)
Locate minimum and maximum in array.
#Return value
((minimum, idx_of_min), (maximum, idx_of_max))
"""
function find_extremes(arr::AbstractArray)
min = max = arr[1]
min_i = max_i = 1
for ... | [
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1... | 1.868421 | 304 |
<gh_stars>1-10
function intempdir(fn::Function, parent=tempdir())
tmpdir = mktempdir(parent)
try
cd(fn, tmpdir)
finally
rm(tmpdir, recursive=true)
end
end
| [
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198,... | 2.172414 | 87 |
module FusionDirect
using OpenGene
using OpenGene.Algorithm
using OpenGene.Reference
# package code goes here
# make it compatible for different version of Julia
include("compat.jl")
export detect
import Base: -,
abs
include("index/index.jl")
include("detect/detect.jl")
end # module
| [
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7... | 3.277778 | 90 |
<gh_stars>0
using Plots
using CSV
function general_setup()
gr()
fntsm = Plots.font(pointsize = 12)
fntlg = Plots.font(pointsize = 18)
default(titlefont = fntlg, guidefont = fntlg, tickfont = fntsm, legendfont = fntsm)
end
function plot_agent_losses(csv_path, plot_file; lower_bound = 1.0e-15, upper_bou... | [
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... | 2.166237 | 776 |
<reponame>ikroener/ClimateTools.jl<gh_stars>10-100
using Dates, AxisArrays
@testset "Functions" begin
# findmax
d = collect(DateTime(2003,1,1):Day(1):DateTime(2005,12,31))
data = Array{Float64,3}(undef, 2, 2,1096)
data[1,1,:] = collect(1.0:1096.0); data[1,2,:] = collect(1.0:1096.0); data[2,1,:]=collect(1.0:1096.0); d... | [
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67... | 2.14488 | 918 |
<reponame>qhho/POMDPSimulators.jl
ds = DisplaySimulator(max_steps=10,
extra_initial=true,
extra_final=true,
rng=MersenneTwister(4))
m = BabyPOMDP()
@test simulate(ds, m, Starve()) ≈ 0.0
ds = DisplaySimulator(max_steps=1,
extra_init... | [
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220,
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220,
220,
220,
220,
220,
220,
220,
... | 1.8 | 280 |
iscapitalletter(b) = UInt(0x0041) <= b <= UInt(0x05A)
islowercaseletter(b) = UInt(0x0061) <= b <= UInt(0x07A)
isnamestart(b) = iscapitalletter(b) || islowercaseletter(b) || b == UInt('_')
isnamecontinue(b) = isnamestart(b) || isdigit(Char(b))
isunicodechar(b) = iscapitalletter(b) || islowercaseletter(b) || isdigit(Ch... | [
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... | 1.889211 | 1,724 |
<reponame>usnistgov/NeXLDatabase.jl
### A Pluto.jl notebook ###
# v0.12.18
using Markdown
using InteractiveUtils
# This Pluto notebook uses @bind for interactivity. When running this notebook outside of Pluto, the following 'mock version' of @bind gives bound variables a default value (instead of an error).
macro bin... | [
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... | 1.829099 | 1,299 |
struct MPISum{T}
data::T
comm::MPI.Comm
end
MPISum(data::T, comm=MPI.COMM_WORLD) where {T} = MPISum{T}(data, comm)
# Apply the sum
function (A::MPISum)(v)
return MPI.Allreduce(A.data(v), +, A.comm)
end
| [
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... | 2.079208 | 101 |
function sift!(Eav, decomp, d_osf, nsifts=5)
N = length(decomp)
e1 = zeros(N)
e2 = zeros(N)
avg = zeros(N)
w = max(div(d_osf-1, 2), 3)
if iseven(w)
w += 1
end
for j in 1:nsifts
stream_minmax(e1, e2, decomp, d_osf)
e1 .= moving_average(e1, d_osf)
... | [
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304,
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198... | 1.64697 | 660 |
using Colors
export normalcolors, lambert, basic, phong, visible, edges
abstract MaterialPrimitive
immutable Material{P<:MaterialPrimitive} <: Compose3DNode
primitives::Vector{P}
end
isscalar(material::Material) = length(material.primitives) == 1
immutable MeshColor <: MaterialPrimitive
color::Color
end
f... | [
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<reponame>danielzhaotongliu/MALTrendsWeb
{"score_count": 463641, "score": 7.94, "timestamp": 1565469087.0}
{"score_count": 463641, "score": 7.94, "timestamp": 1565467461.0}
{"score_count": 462632, "score": 7.94, "timestamp": 1564796506.0}
{"score_count": 462632, "score": 7.94, "timestamp": 1564455237.0}
{"score_count":... | [
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1298,
1315,
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3388... | 2.347573 | 19,219 |
push!(LOAD_PATH, "../src/")
using Documenter
using BasicDataLoaders
makedocs(sitename="BasicDataLoaders")
deploydocs(repo = "github.com/lucasondel/BasicDataLoaders.git",
devbranch = "main")
| [
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3... | 2.428571 | 84 |
<reponame>mmider/GuidedProposals.jl
#===============================================================================
Routines for computing the log-likelihood functions and solve!'ing
the path from the Wiener path and computing the log-likelihood at
the same time.
=========================================... | [
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2... | 1.907813 | 3,200 |
<reponame>chmathys/ForneyLab.jl
module BetaTest
using Test
using ForneyLab
using ForneyLab: outboundType, isApplicable, prod!, unsafeMean, unsafeLogMean, unsafeMirroredLogMean, unsafeVar, vague, dims, logPdf, naturalParams, standardDistribution
using ForneyLab: SPBetaOutNPP, SPBetaAMNM, SPBetaBMMN, SPBetaOutNMM, VBBet... | [
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<gh_stars>0
using BivMatFun;
using BenchmarkTools;
using Printf;
using LinearAlgebra;
using DelimitedFiles;
using MAT;
include("experiments_common.jl")
function run_test()
success = true;
matrices = [ "jordbloc1", "grcar", "smoke", "kahan2", "lesp", "sampling", "grcar-randn" ];
m = 64;
... | [
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320,
863,
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26,
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26,
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198,... | 1.751484 | 2,358 |
# This example will be gone through by the teacher
using SpatialEcology, DataFrames, CSV, Plots
# Read the data
mammals = CSV.read("mammals.csv", DataFrame)
regions = DataFrame(CSV.File("wallace_points.csv"))
coord = CSV.read("coord.csv", DataFrame)
# build the assemblage object and plot it
world_mammals = Assemblage... | [
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40... | 2.607143 | 700 |
<reponame>jorgepz/Materialis.jl
using Materialis
using Test
@testset "Test: FEM2Grid interpolation matrix" begin
# generate the FEM mesh
Lx = 0.5
Ly = 1.0
Lz = 1.2
testNodes = [ 0 0 0 ;
0 0 Lz ;
0 Ly Lz ;
0 Ly 0 ;
... | [
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220,
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771... | 1.872054 | 891 |
<gh_stars>1-10
module Causality
import Base: union
import CausalInference
import Combinatorics
using Base
using Reexport
@reexport using LightGraphs
@reexport using MetaGraphs
@reexport using SymbolicUtils
function _update_module_doc()
path = joinpath(@__DIR__, "..", "README.md")
text = read(path, String)
... | [
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... | 2.65098 | 255 |
<gh_stars>1-10
const refinements = 5
const Lx = 2.0
const Ly = 1.0
| [
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13,
15,
628
] | 2.266667 | 30 |
"""
atleast2d \\
For formatting the dimensions of the random variables to at least 2 dimensions \\
Arguments: random_variable \\
Returns: A 2-d version of the variable \\
"""
function atleast2d(random_variable::Array)
is_one_d = 1 == ndims(random_variable)
return is_one_d ? reshape(random_variable, size(rando... | [
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1... | 3.112069 | 116 |
#=
distributions.jl
Contains code to create alternatively parameterised distributions, including copulae.
Author: <NAME>
======================
School of Mathematical Sciences
Queensland University of Technology
======================
... | [
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2... | 2.305681 | 3,327 |
module test_julia_generated
using Test
generated_arg_types = []
non_generated_args = []
function f(x)
if @generated
push!(generated_arg_types, x)
:x
else
push!(non_generated_args, x)
0
end
end
f(1)
@test generated_arg_types == [Int]
f("")
@test generated_arg_types == [Int... | [
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... | 2.383686 | 331 |
<reponame>gbarsih/Representations-in-Robotics<filename>julia-scripts/vgate.jl
struct VirtualGate{T<:AbstractFloat} <: Wall{T}
sp::SVector{2,T}
ep::SVector{2,T}
normal::SVector{2,T}
width::T
center::SVector{2,T}
color::Symbol
name::String
end
function VirtualGate(sp::AbstractVector, ep::Abstr... | [
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25,
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51,... | 2.28865 | 1,022 |
#
abstract type Equation end
#----------------------------------------------------------------------
export Diffusion
#----------------------------------------------------------------------
struct Diffusion{T,U} <: Equation # {T,U,D,K} # type, dimension, (bdfK order)
fld::Field{T}
ν ::Array{T} # viscosity
... | [
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11,
52,
92,
1279,
25,
7889,
341,
1303,
1391,
51,
11,
52,
11,
35,
11,
42,
92,
1303... | 2.088932 | 1,563 |
if basename(pwd()) == "aoc"
cd("2017/7")
end
function mermaid(filename::AbstractString)
open(replace(filename, ".txt" => ".mmd"), "w") do f
write(f, "graph TD\r\n")
for line in eachline(filename; keep = true)
if occursin(r"->", line)
write(f, replace(line, ", " => " ... | [
361,
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8,
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220,
220,
220,
1280,
7,
33491,
7,
3434... | 2.262916 | 871 |
<gh_stars>0
function update_beta!(state::State, data::Data, prior::Prior,
flags::Vector{Flag})
if UpdateBetaWithSkewT() in flags
llC = marginal_loglike_beta('C', state, data)
llT = marginal_loglike_beta('T', state, data)
else
llC = marginal_loglike_beta_latent_var('C', state, data)... | [
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220,
220,
220,
220,
220,... | 2.343434 | 198 |
<reponame>davidbarber/Julia0p5ProbabilisticInferenceEngine<filename>Demos/demoChainIndepRational.jl
function demoChainIndepRational()
println("In this demo we consider the directed graph A->B->C")
println("The chain is such that A and B are dependent, B and C are dependent, yet A and C are independent.")
p... | [
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4... | 2.302768 | 578 |
<reponame>vavrines/KitML.jl
nn = Chain(Dense(21, 21, tanh), Dense(21, 21))
nn1 = FastChain(FastDense(21, 21, tanh), FastDense(21, 21))
X = randn(Float32, 21, 10)
Y = rand(Float32, 21, 10)
KitML.sci_train!(nn, (X, Y), ADAM())
KitML.sci_train!(nn, Flux.Data.DataLoader((X, Y)), ADAM(); device = cpu, epoch = 1)
KitML.sci_... | [
27,
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198,
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16,
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7,
22968,
... | 2.110687 | 262 |
<reponame>tgymnich/Metal.jl
using Test
using Metal
@testset "MTL" begin
@testset "devices" begin
devs = devices()
@test length(devs) > 0
dev = first(devs)
@test dev == devs[1]
if length(devs) > 1
@test dev != devs[2]
end
end
@testset "buffers" begin
dev = first(devices())
buf = MtlBuffer{Int}(dev, 1)
@test... | [
27,
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1,
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198,
198,
7959,
82,
796,
4410,
341... | 2.352601 | 173 |
# This file contains functions for economic optimization problems.
# These functions are intended for internal use and package extensions.
function deamincost(X::Union{Matrix,Vector}, Y::Union{Matrix,Vector},
W::Union{Matrix,Vector}; rts::Symbol = :VRS, dispos::Symbol = :Strong,
optimizer::Union{DEAOptimizer,No... | [
2,
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11,
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5512,
575,
3712,
38176,
90,
46912,
... | 2.142028 | 3,619 |
<reponame>JuliaPackageMirrors/Kafka.jl
module Kafka
export KafkaClient,
metadata,
produce,
fetch,
list_offsets,
_metadata,
_produce,
_fetch,
_list_offsets,
earliest_offset,
latest_offset
include("core.jl")
end # module
| [
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220,
220,
220,
4439,
11,
... | 2.027778 | 144 |
<reponame>pmoura/eye
# See https://en.wikipedia.org/wiki/Graph_(discrete_mathematics)
using Julog
clauses = @julog [
oneway(paris, orleans) <<= true,
oneway(paris, chartres) <<= true,
oneway(paris, amiens) <<= true,
oneway(orleans, blois) <<= true,
oneway(orleans, bourges) <<= true,
oneway(blo... | [
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8,
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198,
3500,
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519,
198,
198,
565,
64,
2664,
796,
248... | 2.235294 | 374 |
using BinDeps
using Compat
import Base.Sys.WORD_SIZE
# version of cubature package to use
letsberational="1.0.0.1203"
tagfile = "installed_vers"
if !isfile(tagfile) || readchomp(tagfile) != "$letsberational $WORD_SIZE"
info("Installing Let's be rational library...")
cd("src") do
run(`make`)
end
... | [
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82,
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265,
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286,
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527,
864,
2625,
16,
13,
15,
13,
15,
13,
1065,
3070,
1,
198,
12985... | 2.566845 | 187 |
"""
PyRef([x])
A reference to a Python object converted from `x`, or a null reference if `x` is not given.
This is baically just a mutable reference to a pointer to a Python object.
It owns the reference (if non-NULL) and automatically decrefs it when finalized.
Building block for more complex wrapper types such... | [
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13,
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318,
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1146,
655,
257... | 2.020096 | 1,045 |
<reponame>UnofficialJuliaMirrorSnapshots/PlanarMaps.jl-291fd964-e446-5d75-9412-e8e0eb420fa7<filename>src/uniformwoodedtriangulations.jl
#--------------------------------------------------------
function sample(RNG::Random.AbstractRNG,w::Vector)
w /= sum(w)
p = rand(RNG)
runningsum = 0
for i=1:length(w... | [
27,
7856,
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480,
29,
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12,
68,
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68,
15,
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27211,
13331,
22,
... | 1.833534 | 4,145 |
<reponame>mlkrock/BATsDistribution.jl
module BulkAndTails
using Distributions, ForwardDiff, Ipopt, Roots, Random
export BulkAndTailsDist, fitbats, fit_bats_mle_covariates, fitbats_covariates, batspdf, batscdf, batsquantile, batslogpdf, batslogcdf, batsrand
include("BulkAndTailsDist_struct.jl")
include("BulkAn... | [
27,
7856,
261,
480,
29,
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14,
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51,
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11,
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11,
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198,
220,
10784,
47900,
1870,
... | 2.805369 | 149 |
<gh_stars>0
using IndEco
using Test
@testset "IndEco.jl" begin
# Write your tests here.
end
| [
27,
456,
62,
30783,
29,
15,
198,
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1423,
36,
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220,
220,
220,
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534,
5254,
994,
13,
198,
437,
198
] | 2.425 | 40 |
# so need to write a function that uses the helper functions to send a get request to tm1 base url
@api_default function ping(api::TM1API; options...)
tm1_get_json(api)
end
| [
2,
523,
761,
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257,
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326,
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7,
15042,
3712,
15972,
16,
17614,
26,
3689,
23029,
198,
220,
256,... | 3.2 | 55 |
using Base.Test
println("testing MPI...")
run(`julia mpi_test.jl`)
run(`mpirun -np 2 julia mpi_test.jl`)
println("done testing MPI.")
println("testing data source/sink...")
include("source_test.jl")
include("sink_test.jl")
run(`mpirun -np 2 julia sink_test.jl`)
println("done testing data source/sink.")
println("test... | [
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343,
403,
532,
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474,
43640,
285,
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62,
9288,
13,
... | 2.570957 | 606 |
using OpenQuantumTools, OrdinaryDiffEq, Plots, Printf, LaTeXStrings
β = 4
T = β_2_temperature(β)
η = 0.1
fc= 10/(2π)
bath = Ohmic(η, fc, T)
plot(bath, :γ, range(0,10,length=100), linewidth=2, label="")
τsb, err_τsb = τ_SB((x)->correlation(x, bath))
@printf("τ_sb of the Ohmic bath is %.6f with error estimation %.2... | [
198,
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4946,
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62,
17,
62,
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7,
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8,
198,
138,
115,
... | 2.02439 | 943 |
using BSplines
function gen_traj(t, via_points; order=3, basis=nothing)
@assert length(t) == size(points)[1]
x = via_points[:,1]
y = via_points[:,2]
z = via_points[:,3]
if basis === nothing
basis = averagebasis(order, t)
end
xspline = BSplines.interpolate(basis, t, x)
yspline =... | [
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198,
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83,
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28,
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8,
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220,
220,
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30493,
4129,
7,
83,
8,
6624,
2546,
7,
13033,
38381,
16,
60,
198,
220,
... | 2.19 | 200 |
using PackageCompiler
using Setfield
using Pkg
using Random
const trace_dir = abspath(@__DIR__,"../traces/")
const trace_file = Vector{UInt8}()
function trace()
global trace_dir,trace_file
!isdir(trace_dir) && mkdir(trace_dir)
empty!(trace_file)
for c in joinpath(trace_dir,"trace_$(rand(UInt32)).jl")... | [
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5329,
198,
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198,
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62,
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553,
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2213,
2114,
14,
4943,
198,
9979,
12854,
62,
7753,
796,
206... | 2.276361 | 2,627 |
using Revtok
using Base.Test
# write your own tests here
@test begin
text = replace(normalize_string(readstring(
download("http://www.gutenberg.org/cache/epub/1661/pg1661.txt"))[4:end],
newline2lf=true), r"\n+", s->length(s) == 1 ? " " : "\n" ^ (length(s) - 1));
detokenize(tokenize(text)) == te... | [
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62,
8841,
7,
961,
8841,
7,
198,
220,
220,
220,
220,
220,
220,
220... | 2.369565 | 138 |
using ArgParse
include("./src/raft.jl")
using Raft
## I'm just a follower to start with
ps = Raft.PersistentState(0, 0, [])
vs = Raft.VolatileState(0, 0)
s = ArgParseSettings("Runs a Raft server")
@add_arg_table s begin
"--server_id", "-s"
help = "id of this server"
arg_type = UInt64
required = ... | [
3500,
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325,
198,
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351,
198,
862,
796,
7567,
701,
13,
30946,
7609,
9012,
7,
15,
11,
... | 2.354906 | 479 |
using Base.Test
using Compat # for breaking changes in julia 0.7
using SoilTracers
anyerrors = false
tests = ["consts.jl",
"soilgrid/soilgrid.jl",
"physchem/thermodyn.jl",
"physchem/diffus.jl",
"physchem/solub.jl",
"physchem/water.jl",
"physchem/rxn.jl",
... | [
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198,
198,
41989,
796,
14631,
1102,
6448,
13,
20362,
1600,
198,... | 2.026866 | 335 |
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