content stringlengths 6 1.03M | input_ids listlengths 4 535k | ratio_char_token float64 0.68 8.61 | token_count int64 4 535k |
|---|---|---|---|
<gh_stars>10-100
function layouttable(io::IO, printer::Function, table::Table, tchars::Dict, indent=0)
celltext = map(r -> if r isa TableRow
[join(sprint.(printer, c.contents)) for c in r.cells]
else r end, table.rows)
colwidths = map(r -> if !isa(r, TableHrule)
... | [
27,
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62,
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29,
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12,
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8818,
12461,
11487,
7,
952,
3712,
9399,
11,
20632,
3712,
22203,
11,
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3712,
10962,
11,
256,
354,
945,
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35,
713,
11,
33793,
28,
15,
8,
198,
220,
220,
220,
2685,
5239,
796,
3975,
... | 1.917132 | 2,148 |
function euclideanDistance(point1::Array, point2::Array)
nVar = length(point1)
acc = 0
for i=1:nVar
acc += (point1[i]-point2[i])^2
end
return sqrt(acc)
end
function pairwiseDistance(array1::Array, array2::Array, metric::Function)
len = size(array1)[1]
matrix = zeros(len, len)
... | [
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657,
198,
220,
220,
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329,
1312,
28,
16,
25,
... | 1.936398 | 1,305 |
<filename>src/models/market_models/products/multistep/multiproduct_multistep.jl
type MultiProductMultiStepCommon
rateTimes::Vector{Float64}
evolution::EvolutionDescription
end
function MultiProductMultiStepCommon(rateTimes::Vector{Float64})
n = length(rateTimes) - 1
evolutionTimes = zeros(n)
relevanceRates =... | [
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198,
220,
2494,
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3712,
38469,
90,
438... | 2.639635 | 1,862 |
<reponame>eschnett/STL.jl<gh_stars>1-10
# Defs
# Free a C++ object
function free end
export free
# Describe how wrapped objects are handled by containers
function convert_arg end
export convert_arg
function convert_result end
export convert_result
#TODO const value_types = Set([Bool, Int8, Int16, Int32, Int64, UInt... | [
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... | 2.14825 | 1,086 |
<gh_stars>0
using Pkg, RData
cd("C:\\Users\\UOS\\Desktop\\portfolio\\dataset")
df_kospi = load("kospi_1018.RData")
typeof(df_kospi)
keys(df_kospi) ### Dict type의 data에 key를 확인
kospi_mat = df_kospi["df_kospi_1018"][2:end,]
group_inx = df_kospi["group_index"]
### Data type 변환 DF -> Matrix
kospi_mat = convert(Matri... | [
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198,
198,
7568,
62,
74,
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72,
796,
... | 1.604679 | 1,667 |
<gh_stars>10-100
using Dates
Faker.language("es-MX")
Faker.seed(80)
@test typeof( Faker.random_digit() ) == String
@test typeof( Faker.random_digit_not_null() ) == String
@test typeof( Faker.random_digit_or_empty() ) ... | [
27,
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62,
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7,
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376,
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13,
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62,
27003,
3419,
1267,
... | 1.664746 | 7,982 |
<reponame>scuervo91/WellLogs.jl<gh_stars>1-10
"""
PropDist(args...)--> UnivariateDistribution
Fit the given data to a specific statistical distribution
Distributions.jl package is used to fit
The next table show the list of variables allowed:
|PropertyName|Args|Default|Input|Description
|---|---|---|---|---... | [
27,
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261,
480,
29,
1416,
84,
712,
78,
6420,
14,
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62,
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29,
16,
12,
940,
198,
37811,
201,
198,
24331,
20344,
7,
22046,
23029,
46904,
791,
42524,
20344,
3890,
201,
198,
201,
198,
31805,
... | 2.275801 | 562 |
<gh_stars>10-100
# ---
# title: 1287. Element Appearing More Than 25% In Sorted Array
# id: problem1287
# author: <NAME>
# date: 2020-10-31
# difficulty: Easy
# categories: Array
# link: <https://leetcode.com/problems/element-appearing-more-than-25-in-sorted-array/description/>
# hidden: true
# ---
#
# Given an intege... | [
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13,
11703,
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1679,
4,
554,
311,
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2,
4686,
25,
1917,
1065,
5774,
198,
2,
1772,
25,
1279,
20608,
29,
198,
... | 2.329193 | 322 |
<reponame>staticfloat/TuringTutorials<gh_stars>100-1000
using Test
using TuringTutorials
@testset "TuringTutorials" begin
include("build.jl")
end
| [
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31,
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51,
870,
51,
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82,
1,
2221,
198,
22... | 2.696429 | 56 |
function FiniteDifferences.to_vec(x::RegularSpacing)
function from_vec_RegularSpacing(x_vec)
return RegularSpacing(x_vec[1], x_vec[2], x.N)
end
return [x.t0, x.Δt], from_vec_RegularSpacing
end
@testset "regular_data" begin
t0 = randn()
Δt = randn()
N = 5
x = RegularSpacing(t0, Δt, N... | [
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8,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
23603,
4561,... | 1.979118 | 431 |
# utility/z-list.jl
include("downsample.jl")
include("eql_root.jl")
include("interp1.jl")
include("jinc.jl")
include("map_many.jl")
include("mask.jl")
include("max_percent_diff.jl")
include("ndgrid.jl")
include("rect.jl")
include("reverser.jl")
include("rmsd100.jl")
| [
2,
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12,
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198,
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7203,
68,
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79,
16,
13,
20362,
4943,
198,
17256,
7203,
73,
1939,
13,
20... | 2.528302 | 106 |
module GithubMarkdown
export rendergfm
const libpath = normpath(joinpath(@__DIR__, "..", "deps", "usr", "lib"))
const binary_path = normpath(joinpath(@__DIR__, "..", "deps", "usr", "bin", "cmark-gfm"))
@static if Sys.iswindows()
const execenv = ("PATH" => string(libpath, ";", Sys.BINDIR))
elseif Sys.isapple()
... | [
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366,
10378,
82,
1600,
366,
14629,
1600,
366,
8019,
48774,
198,
9979,
... | 2.69588 | 1,529 |
using Jive
@useinside module test_stdlib_distributed_sshmanager
using Test
using Distributed
using .Distributed: SSHManager
const test_exeflags = Base.julia_cmd()
const test_exename = popfirst!(test_exeflags.exec)
function addprocs_with_testenv(manager; kwargs...)
tunnel = false
sshflags = ``
max_paralle... | [
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198,
31,
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1332,
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198,
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198,
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4307,
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20344,
6169,
25,
33825,
13511,
198,
198,
9979,
1332,
62,
1069,
891,
75,... | 2.515385 | 520 |
module TestEnumerationArray
using FactCheck
using DataCubes
import DataCubes: wrap_array
facts("EnumerationArray tests") do
@fact EnumerationArray(@nalift(["a" NA "b" "b";NA "b" "a" "c"])).elems --> Int[1 0 2 2;0 2 1 3]
@fact EnumerationArray(@nalift(["a" NA "b" "b";NA "b" "a" "c"]), ["c","a","b"]).elems --> Int[... | [
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6975,
341,
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5254,
4943,
466,
198,
220,
2488,
22584,
2039... | 1.837005 | 7,172 |
<reponame>jeff-regier/Latte.jl
@defstruct ReplicationLayer Layer (
name :: AbstractString = "power",
(num_copies :: Int = 1, num_copies > 0),
(tops :: Vector{Symbol} = Symbol[], length(tops) == 1),
(bottoms :: Vector{Symbol} = Symbol[], length(bottoms) == length(tops)),
)
@characterize_layer(Replication... | [
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10100,
796,
366,
6477,
1600,
198,
220,
220,
220,
357,
22510,
62... | 2.282185 | 769 |
using DifferentialEquations
using DelayDiffEq
using DiffEqCallbacks
using Tables
using DataFrames
using StatsPlots
using BenchmarkTools
function sir_dde!(du,u,h,p,t)
(S,I,R) = u
(β,c,τ) = p
N = S+I+R
infection = β*c*I/N*S
(Sd,Id,Rd) = h(p, t-τ) # Time delayed variables
Nd = Sd+Id+Rd
recov... | [
198,
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602,
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10631,
36,
80,
14134,
10146,
198,
3500,
33220,
198,
3500,
6060,
35439,
198,
3500,
20595,
3646,
1747,
198,
3500,
25187,
4102,
33637,
628,
198,
8818,
15967,
62... | 1.844203 | 1,104 |
<gh_stars>0
# This file was generated by the Julia Swagger Code Generator
# Do not modify this file directly. Modify the swagger specification instead.
mutable struct UsageSample <: SwaggerModel
subscriptionId::Any # spec type: Union{ Nothing, String } # spec name: subscriptionId
meterId::Any # spec type: Un... | [
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2878,
29566,
... | 3.187457 | 1,451 |
#------------------------------------------------------------------------------# Mean
"""
Mean of a single series.
```julia
y = randn(100)
o = Mean()
fit!(o, y)
o = Mean(y)
```
"""
type Mean{W <: Weight} <: OnlineStat{ScalarInput}
value::Float64
weight::W
end
Mean(wt::Weight = EqualWeight()) = Mean(0.0, wt)
... | [
2,
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2,
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272,
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88,
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78,
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3419,
198,
11147,
0,
7,
78,
11,
331,
8,
198,
198,
... | 2.069386 | 7,134 |
using PackageCompiler
builddir = ARGS[1]
mkpath(builddir)
build_shared_lib(
joinpath(@__DIR__, "staticrbd.jl"), "libstaticrbdjl",
snoopfile = joinpath(@__DIR__, "snoopfile.jl"),
startup_file = "no",
builddir = builddir,
Release = true,
check_bounds = "no",
optimize = 3
)
| [
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796,
5923,
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58,
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7,
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15908,
8,
198,
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11249,
62,
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62,
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7,
198,
220,
220,
220,
4654,
6978,
7,
31,
834,
34720,
834,
11,
366,
12708,
... | 2.323077 | 130 |
<gh_stars>0
# ============================================================================ #
# DictSet
# ============================================================================ #
# TODO: use IntSet? - benchmark!
"""
Basic dict-like thing that holds multiple values for each key in a set.
"""
struct DictSet{K}
d... | [
27,
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62,
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29,
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2,
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2,
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713,
7248,
198,
2,
38093,
2559,
18604,
1303,
198,
2,
16926,
46,
25,
779,
2558,
7248,
30,
532,
18335,
0,
198,
37811,
198,
26416,
8633,
12,
2339,
1517,
326,
... | 2.201408 | 2,557 |
# Checks PELT runs
println("Running PELT tests...")
n = 1000; # Number of samples
λ = 100; # Frequencey of changes
########################
# Normal mean segments #
########################
μ, σ = Normal(0.0, 10.0), 1.0
sample, cps = @changepoint_sampler n λ Normal(μ, σ)
seg_costs = NormalMeanSegment(... | [
2,
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51,
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8,
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220,
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286,
8405,
198,
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1802,
26,
220,
220,
220,
220,
220,
... | 2.640097 | 414 |
# Automatically generated using Clang.jl wrap_c, version 0.0.0
using Compat
#const WINUSERAPI = DECLSPEC_IMPORT
#const WINABLEAPI = DECLSPEC_IMPORT
const WINVER = 0x0500
# Skipping MacroDefinition: IS_INTRESOURCE ( _r ) ( ( ( ( ULONG_PTR ) ( _r ) ) >> 16 ) == 0 )
# Skipping MacroDefinition: MAKEINTRESOURCEA ( i ) ( ... | [
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198,
2,
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25779,
17534,
... | 2.275564 | 58,041 |
<reponame>jayren3996/ExactDiagonalization.jl<gh_stars>1-10
#-----------------------------------------------------------------------------------------------------
# More construction method for Operation
#-----------------------------------------------------------------------------------------------------
export onsite_... | [
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329,
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198,
2,
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3880,
30934,
198,
3... | 3.389776 | 626 |
<reponame>jakobnissen/SmallBitSet.jl<filename>test/stackvector.jl
random_stackvector(L) = StackVector(rand(UInt) & (1 << (L&63) - 1), L)
@testset "Construction" begin
@test_throws DomainError StackVector(zero(UInt), 65)
@test StackVector([1, 0, 1, 1, 0, 1]) !== false
@test StackVector([0, 1, 1, 0]) isa ... | [
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7,
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7,
52,
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8,
1... | 2.004695 | 1,704 |
### A Pluto.jl notebook ###
# v0.12.21
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 bind(def, element)
quote
lo... | [
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13,
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2491,
428,
20922... | 1.835233 | 2,106 |
<reponame>eschnett/JuliaFormatter.jl
# Copyright 2017, <NAME>, <NAME>, <NAME>, and contributors
# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at http://mozilla.org/MPL/2.0/.
# Returns the block ... | [
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1279,
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22330,
290,
20420,
198,
2,
220,
770,
8090,
6127,
5178,
318,
2426,
284,
... | 1.974865 | 7,201 |
<gh_stars>0
using LinearAlgebra
using Test
using Random
using ProximalOperators
using ProximalAlgorithms
@testset "Lasso small (strongly convex, $T)" for T in [Float32, Float64]
Random.seed!(777)
dim = 5
μf = T(1)
Lf = T(10)
x_star = convert(Vector{T}, 1.5 * rand(T, dim) .- 0.5)
lam = (μf +... | [
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3... | 1.857955 | 528 |
<reponame>agricolab/Metis.jl<gh_stars>0
type Kronos
data::Array{Number}
labels::Array{String}
Markers
SamplingRate::Number
Provenance::Dict
end
| [
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using CUDA
using ExaPF
using KernelAbstractions
using Test
import ExaPF: PowerSystem
import ExaPF: LinearSolvers
const LS = LinearSolvers
@testset "Powerflow solver" begin
datafile = joinpath(INSTANCES_DIR, "case14.raw")
pf = PowerSystem.PowerNetwork(datafile)
# Parameters
npartitions = 8
toleranc... | [
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69... | 2.188648 | 599 |
using Base.Test
using RPOMDPModels, RPOMDPToolbox
using RobustValueIteration
const RPBVI = RobustValueIteration
TOL = 1e-6
@testset "Robust point-based value iteration" begin
# value function max difference
rp = BabyRPOMDP()
alphavecs = [RPBVI.AlphaVec([2.0, 4.0], true),
RPBVI.AlphaVec(... | [
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68,
... | 1.884726 | 2,429 |
# test to check if preGen helps reduce the solution time
using Distributed;
addprocs(20);
@everywhere include("loadMod.jl");
@everywhere const GUROBI_ENV = Gurobi.Env();
N = 5;
dataList = Dict();
caseList = [13,33,123];
T = 96;
τ = Int64(1/6*T);
Δt = 0.25;
iterMax = 20;
pathTrain = load("pathHist_600.jld");
for ci i... | [
2,
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31,
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4261,
... | 2.225926 | 540 |
using BinDeps
@BinDeps.setup
#deps = [
rsvg = library_dependency("xcb", aliases = ["libxcb"])
#]
@BinDeps.install [:xcb => :_jl_libxcb ]
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... | 2.119403 | 67 |
<filename>src/domains.jl
export IntervalDomain, ProductDomain, ⊗, CircleDomain
abstract type AbstractDomain{T,N} end
struct VarDomainPairing
variables
domain::AbstractDomain
end
Base.:∈(variable::ModelingToolkit.Operation,domain::AbstractDomain) = VarDomainPairing(variable,domain)
Base.:∈(variables::NTup... | [
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... | 2.744027 | 293 |
<gh_stars>0
using LinearAlgebra
using LinearAlgebra: BlasComplex, BlasFloat, BlasReal, HermOrSym
import LinearAlgebra: lmul!, mul!
export rankUpdate!
# Rank one update
## General
### BLAS
rankUpdate!(A::StridedMatrix{T}, x::StridedVector{T}, y::StridedVector{T}, α::T) where {T<:BlasReal} = BLAS.ger!(α, x, y, A)
##... | [
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76... | 1.790703 | 4,668 |
<reponame>hammerfunctor/QuantumAlgebra.jl
abstract type IndexFunction end
(f::IndexFunction)(A::BaseOperator) = BaseOperator(A.t,A.name,f.(A.inds))
(f::IndexFunction)(d::δ) = δ(f(d.iA),f(d.iB))
(f::IndexFunction)(par::Param) = Param(par.name,par.state,f.(par.inds))
(f::IndexFunction)(ops::BaseOpProduct) = BaseOpProduc... | [
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... | 2.220683 | 2,021 |
<reponame>dominikkiese/PFFRGSolver.jl
"""
init_model_heisenberg!(
J :: Vector{Vector{Float64}},
l :: Lattice
) :: Nothing
Init Heisenberg model on a given lattice by overwriting the respective bonds.
Here, J[n] is the coupling to the n-th nearest neighbor (Euclidean norm).
If there are m sy... | [
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... | 2.006157 | 1,137 |
include("activate.jl")
using LinearAlgebra
using Random
using SparseArrays
n = 1000
k = 10000
s = rand(1:100)
@info "Seed $s"
# this seed produces numerical issues with Float64 with the k-sparse 100 lmo / for testing
s = 41
Random.seed!(s)
matrix = rand(n, n)
hessian = transpose(matrix) * matrix
linear = rand(n)
... | [
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109... | 2.244875 | 1,756 |
function legendre_pos_m(lmax, x, Plm)
""" Associated Legendre polynomials only with positive M. """
a = (1. - x^2)
b = sqrt(a)
Plm[1] = 1.
if lmax > 0
Plm[2] = x
Plm[3] = - b
if lmax > 1
Plm[4] = 0.5 * (3. * x^2 - 1.)
Plm[5] = -3. * x * b
... | [
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... | 1.624044 | 3,269 |
<reponame>xijiang/GEAS.jl
"""
function bp_summary(prd, snp, qtl)
---
Summarize simulation results of the `b`reeding `p`rogram.
The figures and tables will be saved with an initial 'bps-'.
"""
function bp_summary(prd, snp, qtl)
# construct pedigree
n₀ = length(
unique(
Matrix(
... | [
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262... | 1.835895 | 2,212 |
<gh_stars>1-10
#! format: off
should_precompile = true
# Don't edit the following! Instead change the script for `snoop_bot`.
ismultios = false
ismultiversion = true
# precompile_enclosure
@static if !should_precompile
# nothing
elseif !ismultios && !ismultiversion
@static if isfile(joinpath(@__DIR__, "../dep... | [
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1042,... | 2.120792 | 505 |
### press-rybicki.jl --- Plan the Lomb–Scargle periodogram
#
# Copyright (C) 2017 <NAME>.
#
# Maintainer: <NAME> <mose AT gnu DOT org>
# Keywords: periodogram, lomb scargle
#
# This file is a part of LombScargle.jl.
#
# License is BSD 3-clause "New" or "Revised".
#
### Code:
# Switches to select the appropriate algor... | [
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2,
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29,
127... | 2.283089 | 4,571 |
module Meta
export quot, is_expr, is_fdef, split_fdef, subs_ex, @expect, @get!
macro expect(pred)
quote
$(esc(pred)) ? nothing : error(
$(string("expected: ", sprint(Base.show_unquoted, pred)", == true")))
end
end
# ---- Metaprogramming -----------------------------------------------------... | [
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220,
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95... | 2.358008 | 743 |
@testset "NelsonSiegelSvensson" begin
# Per this technical note, the target/source rates should be interpreted as continuous rates:
# https://www.ecb.europa.eu/stats/financial_markets_and_interest_rates/euro_area_yield_curves/html/technical_notes.pdf
# EURAAA_20191111 at https://www.ecb.europa.eu/sta... | [
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25,
220,
198,
220,
220,
220,
1303,
3740,
1378,
... | 1.860993 | 2,597 |
<gh_stars>0
using Test: @test, @testset
import Pastebin
@testset "pastebin" begin
@test Pastebin.content(Pastebin.getraw("Lt9PtFc4")) == "Hola mundo"
@test Pastebin.content(Pastebin.getraw("gdQAnG2f")) == "Batido de mamey"
@test Pastebin.success(Pastebin.getraw("gdQAnG2f"))
@test Pastebin.parsekey("htt... | [
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7,
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1136,... | 2.51417 | 247 |
<reponame>bilekviktor/GenerativeAD.jl
# run this on the RCI cluster in the `data/experiment_count` dir
using DrWatson
@quickactivate
using PrettyTables
using Statistics
using FileIO, BSON, DataFrames
using GenerativeAD
using CSV
# just count models, score files and training time
# number of models
data_folders = [data... | [
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63,
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198,
3500,
1583,
54,
13506,
198,
31,
242... | 2.304074 | 6,186 |
##########################################################################
# Copyright 2017 <NAME>.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENS... | [
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26... | 2.752525 | 1,188 |
<reponame>WaveProp/WavePropBase
using Test
using WavePropBase
using WavePropBase.Geometry
using WavePropBase.Interpolation
using StaticArrays
@testset "ReferenceLine" begin
d = ReferenceLine()
k = 3
sp = Pk(d,k)
@test dimension(sp) == k+1
b = monomial_basis(sp)
@test length(b) == dimension(sp)
... | [
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341,
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3163... | 1.937642 | 882 |
using DrWatson
using DataFrames
using CSV
using BSON
using ValueHistories
# because of vae
using GenerativeAD
using GenerativeAD.Models
using ConditionalDists
using GenerativeModels
import GenerativeModels: VAE
using Distributions
using DistributionsAD
"""
helper functions for two stage models
"""
function string2di... | [
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410,
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972... | 2.518201 | 1,401 |
# collection functionality for BZ integration.
# For now this simply defined the Monkorst-Pack grid (uniform grid in
# BZ, due to periodicity, this yields spectral accuracy)
# TODO:
# * loading of BZ-grid files
# * better exploit BZ symmetries?
# * high-accuracy adaptive integration?
# ================ stora... | [
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8,
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2,... | 2.339047 | 2,392 |
include("density_test.jl")
include("height_test.jl")
include("expansion_test.jl") | [
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] | 3 | 27 |
__precompile__()
module PlotRecipes
using Reexport
@reexport using Plots
@reexport using StatPlots
include("graphs.jl")
include("finance.jl")
include("misc.jl")
end # module
| [
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203... | 2.753846 | 65 |
function nextslice(ind::Tuple{Int64, Int64, Int64})
fromobs, toobs, slicelength = ind
sliceend = min(toobs, fromobs + slicelength - 1)
if fromobs <= sliceend
((fromobs, sliceend)::Union{Tuple{Int64, Int64}, Nothing}), (sliceend + 1, toobs, slicelength)
else
nothing, ind
end
end
func... | [
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81... | 2.134728 | 5,448 |
<filename>src/processing/solution_read.jl<gh_stars>0
"""
Liste des paramètres :
- sol: l'objet Solution préconstruit et à mettre jour par cette méthode,
- filename: chemin du fichier solution à charger
Lit un fichier solution au format alp, et effectue les opérations suivantes :
- extrait tous les paramètres possibl... | [
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25,
300,
6,
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316,
28186,
778,
2634,
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4872,
... | 2.192148 | 5,782 |
using LinkedLists
using Test
ll = LinkedList(["apple", "pear", "banana"])
state = start(ll)
insert!(ll, state, "kiwi")
@test first(ll) == "kiwi"
| [
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0,
7,
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11,
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11,
366,
410... | 2.409836 | 61 |
function choleskydec(g::AbstractGraph; kwargs...)
matrix, permutation, nb_added_edge = choleskyfact(g)
data = Dict("matrix" => matrix,
"permutation" => permutation,
"nb_added_edge" => nb_added_edge)
return SimpleGraph(matrix), data
end
function sparsity_pattern(g::AbstractGr... | [
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7,
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7,
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8,
198,
220,
220,
220,
1366,
796... | 2.210762 | 446 |
#
println("2) Test example for One_Particle_Scaler operator.")
configs = [Configuration("1s^2 2s"), Configuration("1s^2 2p")]
# Generate a list of relativistic configurations and determine an ordered list of subshells for these configurations
relconfList = ConfigurationR[]
for conf in configs wa = Basics... | [
198,
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17,
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61,
17,
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79,
4943,
60,
1... | 3.03871 | 465 |
"""
It holds macos and functions usefull for reductions of 3 dimensional data
"""
module ReductionUtils
using ..CUDAGpuUtils, CUDA
export @redWitAct, @addAtomic,@addNonAtomic, @redOnlyStepOne,@redOnlyStepThree, @getFromLane
"""
adapted from https://discourse.julialang.org/t/macro-magic-looping-over-varargs-printing-v... | [
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... | 2.890084 | 3,439 |
# Initialize environment in current directory
@info("Ensuring example environment instantiated...")
import Pkg
Pkg.activate(@__DIR__)
Pkg.instantiate()
@info("Loading Zygote...")
using Zygote
function f(x)
for i = 1:5
x = sin(cos(x))
end
return x
end
function loop(x, n)
r = x/x
for i = 1:n
r *= f(x... | [
2,
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834,
8,
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47,
10025,
13,
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415,
9386,
3419,
... | 2.338583 | 254 |
@testset "Properties" begin
atoms = readPDB("./structure.pdb", "protein")
@test mass(atoms) ≈ 11079.704440000156
f = formula(select(atoms, "residue < 5"))
@test f.formula == [("H", 25), ("C", 19), ("N", 4), ("O", 7), ("S", 1)]
@test element.(select(atoms, "residue = 1")) ==
["N", "H", "... | [
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3720... | 1.847771 | 2,378 |
<gh_stars>100-1000
@doc raw"""
obv(ohlcv; price = :Close, v = :Volume)
On Balance Volume
# Formula
```math
\begin{align*}
\text{OBV}_t = \text{OBV_{t - 1} +
\begin{cases}
\text{volume} & \text{if} P^\text{Close}_t > P^\text{Close}_{t-1} \\
0 & \text{if} P^\text{Close}_t = P^\text{Close}_{... | [
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2,
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1... | 2.306102 | 2,032 |
<gh_stars>10-100
@testset "SGLD" begin
#-----------------------
# testing inplace addition
#-----------------------
function sample_reference!(s::SGLDState,grad::Function)
# increment iteration
s.t += 1
# improve readability
t = s.t
x = s.x
stepsize = s.s... | [
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3090,
198,
220,
220,
220,
1303,
19351,
6329,
198,
220,
220,
... | 1.924731 | 558 |
using Plots, Test
const PLOTS_DEFAULTS = Dict(:theme => :wong2)
Plots.__init__()
@testset "Loading theme" begin
@test plot(1:5)[1][1][:seriescolor] == RGBA(colorant"black")
end
empty!(PLOTS_DEFAULTS)
Plots.__init__()
| [
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31,
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1,
22... | 2.333333 | 96 |
<gh_stars>0
@testset "Test utility functions" begin
concrete_types = IS.get_all_concrete_subtypes(IS.InfrastructureSystemsType)
@test length([x for x in concrete_types if isconcretetype(x)]) == length(concrete_types)
end
@testset "Test strip_module_name" begin
@test IS.strip_module_name("PowerSystems.Hydr... | [
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603... | 2.731818 | 220 |
<filename>Projects/Project_01_1D_Interpolation/For_Instructors/julia/lagrange_basis.jl
#---------------------------------------------------------------------#
#This code computes the Legendre cardinal functions at the Quadrature
#points
#Written by <NAME> on 4/2000
# Department of Applied Mathematics
# ... | [
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98... | 1.669502 | 823 |
<gh_stars>0
# build.jl
using ApplicationBuilder
build_app_bundle("main.jl", appname="ebit_ode_server");
| [
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62,
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15341,
198
] | 2.736842 | 38 |
<reponame>davidanthoff/Lora.jl
######### multiple distributions ###########
using Distributions
VECTOR_SIZE = 1000
v = ones(VECTOR_SIZE)
function bench(ex::Expr) # ex = :(Weibull(1, 1))
# to get valid intial values, use the mean of the distribution
exactMean = eval( :(mean($ex)) )
# some distribs ... | [
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7,
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1581... | 1.964722 | 737 |
## Algebraic identities
function mult_zeros(a, b::AbstractMatrix)
size(a, 2) ≠ size(b, 1) &&
throw(DimensionMismatch("Incompatible matrix multiplication dimensions"))
return Zeros{promote_type(eltype(a), eltype(b))}(size(a, 1), size(b, 2))
end
function mult_zeros(a, b::AbstractVector)
size(a, 2) ≠ ... | [
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220,
220,
2... | 2.316138 | 1,512 |
# Packages used in this chapter
# To check for installed packages in V1.0 we now need to use the PKG API
using Pkg
ipks = Pkg.installed()
pkgs = ["BenchmarkTools","MacroTools", "Lazy"]
for p in pkgs
!haskey(ipks,p) && Pkg.add(p)
end
# We can define these here or as required
using BenchmarkTools, MacroTools, Lazy... | [
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... | 2.2775 | 5,791 |
<reponame>jona125/REALMSupport.jl
using Images, StaticArrays, LinearAlgebra, Statistics
using FileIO, ProgressMeter, Printf, ImageSegmentation
#using Plots, ImageView
include("psf_fun.jl")
include("s_save_image.jl")
include("filter.jl")
include("psf_analyze.jl")
include("beadstest.jl")
THRESHOLD = 7
print("Disk labe... | [
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44,
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11,
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69,
11,
7412,
41030,
1... | 2.401487 | 807 |
include("unit_tests/unit_tests.jl")
| [
17256,
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62,
41989,
14,
20850,
62,
41989,
13,
20362,
4943,
198
] | 2.769231 | 13 |
# Model
include_model("hopper")
# Dimensions
nq = 4 # configuration dimension
nu = 2 # control dimension
nc = 1 # number of contact points
nf = 2 # number of faces for friction cone
nb = nc * nf
ns = nq
# Parameters
g = 9.81 # gravity
μ = 1.0 # coefficient of friction
mb = 10.0 # body mass
ml = 1.0 # leg mass
Jb = ... | [
2,
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69,
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362,... | 1.889404 | 3,879 |
#############################################################################
# Joulia
# A Large-Scale Spatial Power System Model for Julia
# See https://github.com/JuliaEnergy/Joulia.jl
#############################################################################
# This file contains functions and structs for renewabl... | [
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29113... | 2.546379 | 787 |
<reponame>UnofficialJuliaMirrorSnapshots/TensorToolbox.jl-9c690861-8ade-587a-897e-15364bc6f718<filename>src/TTtensor.jl
#using TensorToolbox
export TTtensor, randTTtensor, innerprod, ewprod, full, minus, mtimes, mtimes!, ndims, plus
export reorth, reorth!, size, TTrank, TTsvd, TTtv, norm
mutable struct TTtensor
cor... | [
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12,
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22,
68,
12,
21395,
2414,
15630,
21,
69,
45720,
... | 1.738033 | 9,150 |
export CircularArrayBuffer, capacity, isfull, consecutive_view, select_frame
mutable struct CircularArrayBuffer{T,N} <: AbstractArray{T,N}
buffer::Array{T,N}
first::Int
length::Int
step_size::Int
function CircularArrayBuffer{T}(d::Integer...) where {T}
N = length(d)
N > 0 || throw(... | [
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198,
220,
220,... | 2.363595 | 2,203 |
<filename>test/runtests.jl
using BLG_Fraunhofers
using Test
@testset "BLG_Fraunhofers.jl" begin
# Write your tests here.
end
| [
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130... | 2.5 | 52 |
<reponame>domluna/Butterfly.jl
type CharLoader
filepath::AbstractString
cur_id::Int
data::AbstractString
chars::Set{Char}
id2char::Dict{Int,Char}
char2id::Dict{Char, Int}
end
function CharLoader(filepath)
data = readstring(filepath)
chars = Set(data)
id2char = Dict(i=>c for (i,c) in... | [
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261,
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220,
220,
1090,
62,
312,
3712,
5317,
198,
220,
220,
220,
1366,
3712,
2383... | 2.20983 | 529 |
<reponame>gottacatchenall/SimpleSDMLayers.jl
module SSLTestGBIF
using SimpleSDMLayers
using GBIF
using Test
temperature = worldclim(1)
kingfisher = GBIF.taxon("Megaceryle alcyon", strict=true)
o = GBIF.occurrences(kingfisher, "hasCoordinate" => "true")
# Extract from a single record
for oc in o
@test typeof(tem... | [
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3500,
402,
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37,
198,
3500,
6208,
198,
198,
11498,
... | 2.556522 | 230 |
<reponame>UnofficialJuliaMirrorSnapshots/NeRCA.jl-89b7c20c-a96a-11e9-35df-35fba0891eb2
using NeRCA
using Plots
using LinearAlgebra
using Optim
using JuMP
using GLPK
using Ipopt
const n = 1.35
const c = 2.99792458e8 / 1e9
struct SingleDUTrack
distance
t_closest
z_closest
dir_z
t₀
end
function sing... | [
27,
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261,
480,
29,
3118,
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544,
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1472,
43826,
20910,
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32,
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12,
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65,
22,
66,
1238,
66,
12,
64,
4846,
64,
12,
1157,
68,
24,
12,
2327,
7568,
12,
2327,
69,
7012,
2919,
6420,
1765,
... | 2.045879 | 1,177 |
<gh_stars>1-10
using SafeTestsets
@safetestset "Likelihood" begin
cd(@__DIR__)
using Pkg
Pkg.activate("../")
using Test, ACTRModels, Distributions, FFTDists
include("../models/Semantic_FFT/Semantic_FFT_Model.jl")
include("../models/Semantic_FFT/model_functions.jl")
Random.seed!(44154)
#... | [
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7,
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834,
34720,
834,
8,
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220,
220,
220,
1262,
350,
10025,
1... | 2.376697 | 2,652 |
include("cpu.jl")
c = CPU([1,0,0,0,0,0])
p = read_program("inputs/19.txt")
ips = []
function part_2()::CPU
c = CPU([1,0,0,0,0,0])
while true
#push!(ips, c.registers[p.ip+1])
try
ins = p.lines[c.registers[p.ip+1]]
@fastmath run_instruction(c, ins)
@fastmath ... | [
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2419,
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17635,
... | 1.802251 | 622 |
# Removing outliers using a StatisticalOutlierRemoval filter
# http://www.pointclouds.org/documentation/tutorials/statistical_outlier.php
using PCLCommon
using PCLIO
using PCLFilters
using PCLVisualization
pcd_file = Pkg.dir("PCLIO", "test", "data", "table_scene_lms400.pcd")
cloud = PointCloud{PointXYZ}(pcd_file)
clo... | [
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62,
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2505,
13,
10121,
198,
198,
3500,
4217... | 2.802703 | 370 |
<reponame>disberd/SatelliteToolbox.jl<gh_stars>100-1000
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
#
# Description
# ==============================================================================
#
# Miscellaneous functions for the functions of IAU-2006 theory.
#
# # # # # # # # #... | [
27,
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261,
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29,
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1303,
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1303,
1303,
1303,
1303,
1303,
1303,
1303,
1303,
1303,
130... | 1.89991 | 1,109 |
<filename>src/data/regression/insurance-company-benchmark.jl<gh_stars>10-100
using DataDeps
register(DataDep(
"insurance-company-benchmark",
"https://archive.ics.uci.edu/ml/datasets/Insurance+Company+Benchmark+%28COIL+2000%29",
"https://archive.ics.uci.edu/ml/machine-learning-databases/tic-mld/ticdata2000.txt",
... | [
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82,
198,
198,
30238,
7,
6601,
12156,
7,
198,
220,
366,
1040,
387... | 2.221774 | 248 |
push!(LOAD_PATH,joinpath(@__DIR__, "../src"))
using Documenter, InstrumentOperator, Literate, Plots
using DocumenterTools: Themes
using Pkg
Pkg.add(url="https://github.com/RadiativeTransfer/RadiativeTransfer.jl")
push!(LOAD_PATH,"./src/")
ENV["GKSwstype"] = "nul"
function build()
tutorials = ["CrossSection_conv... | [
14689,
0,
7,
35613,
62,
34219,
11,
22179,
6978,
7,
31,
834,
34720,
834,
11,
366,
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10677,
48774,
198,
198,
3500,
16854,
263,
11,
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11,
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378,
11,
1345,
1747,
198,
3500,
16854,
263,
33637,
25,
383,
6880,
1... | 2.320965 | 1,078 |
using Test
using SWIP
using Distributions
function testintervention()
# Normally distributed random variable with id 1
x = 1 ~ ω -> Normal(ω, 0, 1)
# Normally distributed random variable with id 2 and x as mean
y = 2 ~ (ω -> Normal(ω, x(ω), 1)) <| (x,)
x_ = 0.1
y_ = 0.3
# An omega object -- like a tr... | [
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198,
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220,
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352,
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18074,
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4613,
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7,
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11,
657,
11... | 2.358974 | 390 |
using Documenter, ABC
makedocs(
format = :html,
sitename = "ABC.jl",
modules = [ABC],
# doctest = true,
# clean = false,
pages = [
"index.md", "page1.md",
],
html_prettyurls = !("local" in ARGS)
)
deploydocs(
repo = "github.com/eford/ABC.jl.git",
julia = "0.6",
... | [
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263,
11,
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7,
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11,
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220,
220,
220,
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13,
20362,
1600,
198,
220,
220,
220,
13103,
796,
685,
24694,
4357,
198,
2... | 2.047872 | 188 |
# Global enable of performance counters
#
# See: Section 18.2 (Architectural Performance Monitoring) of Volume 3 of the Software Developer's Guide, as well as in Chapter 35
const IA32_PERF_GLOBAL_CTRL_MSR = IndexZero(0x38f)
const IA32_FIXED_CTR_CTRL_MSR = IndexZero(0x38D)
# MSR for programming programable performance ... | [
2,
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7139,
286,
2854,
21154,
198,
2,
198,
2,
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25,
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13,
17,
357,
19895,
5712,
1523,
15193,
37484,
8,
286,
14701,
513,
286,
262,
10442,
23836,
338,
10005,
11,
355,
880,
355,
287,
7006,
3439,
198,
9979,
35229,
2624,... | 2.669872 | 624 |
<gh_stars>1-10
"""
Simple container representing a task in a taskgraph.
"""
struct TaskgraphNode
"The name of this task."
name::String
metadata::Dict{String,Any}
# Constructor
TaskgraphNode(name; metadata = emptymeta()) = new(name, metadata)
end
"""
Simple container representing an edge in a taskg... | [
27,
456,
62,
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29,
16,
12,
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198,
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257,
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198,
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198,
220,
220,
220,
366,
464,
1438,
286,
428,
4876,
526,
198,
220,
220,
220,... | 2.639768 | 3,098 |
using MagneticResonanceSignals
using AxisArrays
using Test
using Unitful
# UUGH. See the improvements at https://github.com/JuliaArrays/AxisArrays.jl/pull/152
getaxis(samples, name) = AxisArrays.axes(samples, Axis{name}).val
@testset "MagneticResonanceSignals" begin
include("core.jl")
include("mr_load.jl")
include("... | [
3500,
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4965,
261,
590,
11712,
874,
198,
3500,
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3163,
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198,
3500,
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913,
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198,
2,
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13,
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379,
3740,
1378,
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13,
785,
14,
16980,
544,
3163,
20477,
14,
31554,
271... | 2.717514 | 177 |
<gh_stars>0
using Base.Test
using DataFrames
let
#test_group("Confirm that we can read various file types.")
filenames = ["test/data/blanklines/blanklines.csv",
"test/data/compressed/movies.csv.gz",
"test/data/newlines/os9.csv",
"test/data/newlines/osx.csv",
... | [
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62,
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29,
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3500,
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220,
220,
220,
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2533,
326,
356,
460,
1100,
2972,
2393,
3858,
19570,
628,
220,
220,
220,
1226,
268... | 2.129032 | 1,488 |
#!/usr/bin/env julia
using Distributed
using MIToS.Utils.Scripts
using MIToS
Args = parse_commandline(
["--format", "-f"],
Dict(
:help => "Format of the MSA: Stockholm, Raw or FASTA",
:arg_type => String,
:default => "Stockholm"
),
["--exact", "-e"],
Dict(
:help => "... | [
2,
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14,
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82,
198,
3500,
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34049,
198,
198,
42035,
796,
21136,
62,
21812,
1370,
7,
198,
220,
220,
220,
14631,
438,... | 2.340058 | 1,735 |
<reponame>UnofficialJuliaMirror/MultivariateMoments.jl-f4abf1af-0426-5881-a0da-e2f168889b5e
@testset "SymMatrix" begin
Q = SymMatrix([1, 2, 3], 2)
symmetric_setindex!(Q, 4, 1, 1)
@test Q.Q == [4, 2, 3]
symmetric_setindex!(Q, 5, 1, 2)
@test Q.Q == [4, 5, 3]
symmetric_setindex!(Q, 6, 2, 2)
@te... | [
27,
7856,
261,
480,
29,
3118,
16841,
16980,
544,
27453,
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14,
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42524,
29252,
658,
13,
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12,
69,
19,
397,
69,
16,
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12,
3023,
2075,
12,
3365,
6659,
12,
64,
15,
6814,
12,
68,
17,
69,
1433,
3459,
4531,
65,
20,
68... | 1.91923 | 3,739 |
<filename>src/h_file.jl
#=
Converts requests for files in certain folders and subfolders into responses.
May pick the right folder based on request extension.
Generates index.html on request.
=#
# defines MIMETYPES
include("mimetypes.jl")
"Root of LOCFLDRS"
const FOLDERHOME = replace(joinpath(@__DIR__, "..", "assets") ... | [
27,
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29,
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262,
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1912,
319,
2581,
7552,
13,
198,
8645,
689,
6... | 2.128929 | 4,390 |
<filename>src/negbinfit.jl
function mle_for_θ(y::AbstractVector, μ::AbstractVector, wts::AbstractVector;
maxiter=30, tol=1.e-6)
function first_derivative(θ::Real)
tmp(yi, μi) = (yi+θ)/(μi+θ) + log(μi+θ) - 1 - log(θ) - digamma(θ+yi) + digamma(θ)
unit_weights ? sum(tmp(yi, μi) for (... | [
27,
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29,
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14,
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8800,
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13,
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285,
293,
62,
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62,
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116,
7,
88,
3712,
23839,
38469,
11,
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3712,
23839,
38469,
11,
266,
912,
3712,
23839,
38469,
26,
198,
220,
220,
220,
220,
220,
220,... | 1.974249 | 2,563 |
<filename>test/runtests.jl
using Test
using RenderJay
this_fn = @__FILE__
this_folder, _ = splitdir(this_fn)
scene_fn = joinpath(this_folder, "testplot_little_cornellboxes.xml")
println("Reading data...")
assets, geometries, palettes, geometry_bvhs, scene_bvh, skymap, camera = read_scene(scene_fn)
coords = create_c... | [
27,
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29,
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14,
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198,
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62,
43551,
11,
4808,
796,
6626,
15908,
7,
5661,
62,
22184,
8,
... | 2.736842 | 190 |
<reponame>mfkiwl/Ferrite.jl
# # Incompressible Elasticity
#
#md # !!! tip
#md # This example is also available as a Jupyter notebook:
#md # [`incompressible_elasticity.ipynb`](@__NBVIEWER_ROOT_URL__/examples/incompressible_elasticity.ipynb)
# ## Introduction
#
# Mixed elements can be used to overcome locking w... | [
27,
7856,
261,
480,
29,
76,
69,
4106,
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14,
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2,
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601,
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414,
198,
2,
198,
2,
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220,
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8171,
198,
2,
9132,
1303,
220,
220,
220,
220,
770,
1672,
318,
635,
1... | 2.350313 | 3,671 |
<filename>test/misc/partition_functions.jl
# This file is part of Kpax3. License is MIT.
# TODO: test normalizepartition, modifypartition, modifymerge, modifysplit,
# modifyscramble
function test_partition_functions_initializepartition()
ifile = "data/read_proper_aa.fasta"
ofile = "../build/test"
setting... | [
27,
34345,
29,
9288,
14,
44374,
14,
3911,
653,
62,
12543,
2733,
13,
20362,
198,
2,
770,
2393,
318,
636,
286,
509,
79,
897,
18,
13,
13789,
318,
17168,
13,
198,
198,
2,
16926,
46,
25,
1332,
3487,
528,
538,
433,
653,
11,
13096,
391... | 2.260985 | 751 |
struct AirType <: AbstractGlass end
Base.show(io::IO, ::AirType) = print(io, "Air")
glassid(::AirType) = GlassID(AIR, 0)
glassname(::AirType) = "GlassCat.Air"
isair(::AirType) = true
isair(::AbstractGlass) = false
isair(a::GlassID) = a.type === AIR
function info(io::IO, ::AirType)
println(io, "GlassCat.Air")
... | [
7249,
3701,
6030,
1279,
25,
27741,
47698,
886,
198,
14881,
13,
12860,
7,
952,
3712,
9399,
11,
7904,
16170,
6030,
8,
796,
3601,
7,
952,
11,
366,
16170,
4943,
198,
20721,
312,
7,
3712,
16170,
6030,
8,
796,
12158,
2389,
7,
42149,
11,
... | 3.104478 | 201 |
<gh_stars>0
# ~~ Type to set\get data along a band
struct Band
i::Int
end
show(io::IO, r::Band) = print(io, "Band(", r.i, ")")
"""
band(i)
Represents the `i`-th band of a banded matrix.
```jldoctest
julia> using BandedMatrices
julia> A = BandedMatrix(Ones(5,5),(1,1))
5×5 BandedMatrix{Float64,Array{Float64,... | [
27,
456,
62,
30783,
29,
15,
198,
2,
220,
4907,
5994,
284,
900,
59,
1136,
1366,
1863,
257,
4097,
198,
7249,
10243,
198,
220,
220,
220,
1312,
3712,
5317,
198,
437,
198,
198,
12860,
7,
952,
3712,
9399,
11,
374,
3712,
31407,
8,
796,
... | 2.09098 | 2,561 |
@testset "display_obj.jl" begin
label = DS.Label("我是字串", [3, 5])
DS.render(label)
@test T.read_stream(T.out_stream) == "\e[32m\e[3;5H我是字串\e[0m"
label = DS.Label("我是字串", [3, 5], style=Crayon(foreground=:blue, bold=true))
DS.render(label)
@test T.read_stream(T.out_stream) == "\e[34;1m\e[3;5H我是字串\... | [
31,
9288,
2617,
366,
13812,
62,
26801,
13,
20362,
1,
2221,
198,
220,
220,
220,
6167,
796,
17400,
13,
33986,
7203,
22755,
239,
42468,
27764,
245,
10310,
110,
1600,
685,
18,
11,
642,
12962,
198,
220,
220,
220,
17400,
13,
13287,
7,
182... | 1.485785 | 809 |
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