content stringlengths 6 1.03M | input_ids listlengths 4 535k | ratio_char_token float64 0.68 8.61 | token_count int64 4 535k |
|---|---|---|---|
function Δt(ts::AbstractVector{<:Date})
@assert length(ts) >= 3 "time series must have a length >= 3"
ts1 = ts[1]
ts2 = ts[2]
ts3 = ts[3]
dy = year(ts[2])-year(ts[1])
dm = month(ts[2])-month(ts[1])
dd = day(ts[2])-day(ts[1])
same_day = day(ts1) == day(ts2) == day(ts3)
same_m... | [
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220... | 2.064918 | 1,525 |
# This file is auto-generated by AWSMetadata.jl
using AWS
using AWS.AWSServices: kms
using AWS.Compat
using AWS.UUIDs
"""
cancel_key_deletion(key_id)
cancel_key_deletion(key_id, params::Dict{String,<:Any})
Cancels the deletion of a customer master key (CMK). When this operation succeeds, the key
state of the ... | [
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... | 3.585954 | 42,261 |
<filename>src/videotool.jl<gh_stars>1-10
"""
Takes `frames`, which is supposed to be an array of images,
saves them as png's at path and then creates an webm video
from that with the name `name`
"""
function create_video(frames::Vector, name, screencap_folder, resample_steps=0, remove_destination=true)
println("sav... | [
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3... | 2.081937 | 1,074 |
# License for this file: MIT (expat)
# Copyright 2017-2018, DLR Institute of System Dynamics and Control
#
# This file is part of module
# Modia3D.DLR_Visualization (Modia3D/renderer/DLR_Visualization/_module.jl)
#
getVisualElement(data) = data
getVisualElement(data::Solids.Solid) = data.geo
# Get fu... | [
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... | 2.928277 | 1,213 |
<gh_stars>0
using SafeTestsets
using Test
@testset "Common Utilities " begin
@safetestset "States" begin include("test_states.jl") end
end
@testset "Echo State Networks" begin
@safetestset "ESN Input Layers" begin include("esn/test_input_layers.jl") end
@safetestset "ESN Reservoirs" begin include("esn/t... | [
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9288,... | 2.611987 | 317 |
<filename>test/quadratures.jl
@testset "quadratures" begin
for T in (Float32, Float64, BigFloat)
x, w = legendregauss(T, 1)
@test iszero(x)
@test w ≈ [2one(T)]
x, w = legendregauss(T, 1, OneDimensionalNodes.LeftEndPoint())
@test x ≈ [-one(T)]
@test w ≈ [2one(T)]
... | [
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220... | 1.976042 | 960 |
<filename>examples/deformation_linear/statics/2-d/LE1NAFEMS_examples.jl
module LE1NAFEMS_examples
using FinEtools
using FinEtools.MeshExportModule
using PyCall
function LE1NAFEMS()
println("LE1NAFEMS, plane stress.")
t0 = time()
E = 210e3*phun("MEGA*PA");# 210e3 MPa
nu = 0.3;
p = 10*phun("MEGA... | [
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... | 1.837843 | 5,174 |
using OrderedCollections
abstract type PlottingRecipe end
Plots.plot(pr::PlottingRecipe, args...) = plot!(plot(), pr, args...)
# =============================================================================
# hospitalizations
struct ObservationsPlottingRecipe{Tsd, Ted, To, Te, Tl} <: PlottingRecipe
startdate ::... | [
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2,... | 2.424076 | 6,355 |
<filename>deps/build.jl
cd(dirname(@__FILE__))
download("https://github.com/vermaseren/form/releases/download/v4.1-20131025/form-4.1-x86_64-linux.tar.gz", "./form-4.1-x86_64-linux.tar.gz")
run(`tar xzvf form-4.1-x86_64-linux.tar.gz`)
run(`mv form-4.1-x86_64-linux/tform bin/`)
run(`mv form-4.1-x86_64-linux/form bin/`)
r... | [
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... | 1.912621 | 206 |
using DataDeps
register(DataDep(
"lpga-2008",
"http://www.stat.ufl.edu/~winner/data/lpga2008.txt",
"http://www.stat.ufl.edu/~winner/data/lpga2008.dat",
"3d631844fb4b13f7d1f9205005d5ef3687a383b515a39c027e41e5124883ed14",
post_fetch_method=(path -> begin
# IDs have spaces in them which is the delimiter
... | [
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14116,... | 2.097222 | 288 |
<filename>src/pyplot.jl
#=- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Some Functions for Plotting via Matplotlib
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -=#
export set_rcParams!, set_ticklabels!, save_pdf, sa... | [
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532... | 2.093941 | 2,129 |
<filename>dirichlet_process_mixture_model/nign.jl<gh_stars>1-10
type NIGN
N::Int
sum_x::Float64
sum_x_sq::Float64
function NIGN()
new(0, 0.0, 0.0)
end
end
function incorporate!(comp::NIGN, x::Float64)
comp.N += 1
comp.sum_x += x
comp.sum_x_sq += x*x
end
function unincorporate!(... | [
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3712... | 2.006263 | 958 |
using FluxArchitectures
using Test
if Flux.CUDA.functional()
@info "Testing GPU support"
else
@warn "CUDA unavailable, not testing GPU support"
end
@testset "DARNN" begin
include("DARNN.jl")
end
@testset "DSANet" begin
include("DSANet.jl")
end
@testset "LSTnet" begin
include("LSTnet.jl")
end
@t... | [
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56... | 2.427861 | 201 |
# Uncomment the following
# line to run this example
# with more julia workers:
addprocs(4)
@everywhere begin
using StochasticSearch
function tour_cost(x::Configuration, parameters::Dict{Symbol, Any})
result = float(readall(`./tour_cost $(x["Tour"].value)`))
result
end
end
tour = ["1"]
f... | [
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... | 2.210626 | 527 |
# 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 = "RADAR5Builder"
version = v"0.0.2"
# Collection of sources required to build RADAR5Builder
sources = [
"http://www.unige.ch/~hairer/radar5-v2.1.tar" =>
... | [
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796,... | 2.378151 | 833 |
<reponame>KlausC/Multroot.jl
function uhlig06()
#
# test polynomial used by <NAME>
#
p = [1.0;0;0;0;0;0;0;0;-1];
z = [-1.00000000000000
-0.70710678118655 + 0.70710678118655im
-0.70710678118655 - 0.70710678118655im
0 + 1.00000000000000im
0 - 1.0000000000... | [
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1... | 1.758503 | 294 |
@testset "Metadata" begin
sample_text1 = "This is a string"
sample_text2 = "This is also a string"
sd1 = StringDocument(sample_text1)
sd2 = StringDocument(sample_text2)
crps = Corpus([sd1, sd2])
# Single document metadata getters
@test isequal(StringAnalysis.name(sd1), "")
@test isequa... | [
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16,... | 2.911123 | 1,924 |
<reponame>JuliaPackageMirrors/Levenshtein.jl<filename>test/runtests.jl
using Levenshtein
using Base.Test
using Compat
function levenshtein_base(a::AbstractString, b::AbstractString, deletion_cost::Real, insertion_cost::Real, substitution_cost::Real)
local costs::Array{Real, 2} = zeros(Real, length(a) + 1, length(b... | [
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... | 2.387603 | 1,210 |
value(x) = x
promote_u0(u0,p,t0) = u0
promote_tspan(u0,p,tspan,prob,kwargs) = tspan
get_tmp(x) = nothing
isdistribution(u0) = false
function SciMLBase.tmap(args...)
error("Zygote must be added to differentiate Zygote? If you see this error, report it.")
end
function __init__()
@require Measurements="eff96d63-e80a... | [
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12626... | 2.455892 | 1,485 |
<filename>src/by_reference_doc/artist.jl<gh_stars>1-10
## https://developer.spotify.com/documentation/web-api/reference/#/operations/get-an-artist
"""
artist_get(artist_id)
**Summary**: Get Spotify catalog information for a single artist identified by their unique Spotify ID.
# Arguments
- `artist_id` : The Spo... | [
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<filename>src/generated/includes.jl<gh_stars>0
include("DeterministicInternal.jl")
include("Deterministic.jl")
include("ProbabilisticInternal.jl")
include("Probabilistic.jl")
include("ScenarioBasedInternal.jl")
include("ScenarioBased.jl")
include("PiecewiseFunction.jl")
include("PiecewiseFunctionInternal.jl")
export g... | [
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<reponame>guilemieux/ParseTorrent.jl<gh_stars>0
using Test
using ParseTorrent: pieces2hashes, parsetorrent
@testset "parsetorrent with a file" begin
@test parsetorrent(read("torrents/bitlove-intro.torrent")) == Dict{Any,Any}(
"infohash" => "4cb67059ed6bd08362da625b3ae77f6f4a075705",
"announce" => "... | [
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261... | 1.617949 | 1,170 |
<reponame>tmigot/ARCTR.jl
using Pkg;
Pkg.activate(".");
using JLD2, Plots, SolverBenchmark
name = "2022-04-02_ARCqKOp10204_ARCqKOp10201_ARCqKOp102005_ARCqKOp10203_ARCqKOp10202_cutest_277_1000000"
@load "$name.jld2" stats
#=
stats1 = copy(stats)
name = "2022-03-21_trunk_tron_ipopt_lbfgs_cutest_277_1000000"
@load "$name... | [
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... | 1.806541 | 1,437 |
<reponame>UnofficialJuliaMirror/LocalFilters.jl-085fde7c-5f94-55e4-8448-8bbb5db6dde9
#
# LocalFilters.jl --
#
# Local filters for Julia arrays.
#
#------------------------------------------------------------------------------
#
# This file is part of the `LocalFilters.jl` package licensed under the MIT
# "Expat" Licens... | [
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... | 2.659539 | 608 |
using Pkg
Pkg.activate(joinpath(@__DIR__,"../.."))
include(joinpath(@__DIR__,"model.jl"))
include(joinpath(@__DIR__,"plotting.jl"))
include(joinpath(@__DIR__,"utilities.jl"))
using ITensors
using ITensors.HDF5
# Load the results in
## NOTE: NEED TO CHANGE UTILS BACK TO TAKE IN PHONON ARGUMENTS TO PARAMS ##
#loadpath... | [
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198,
17256,
7,
22179,
6978,
7,
31,
834,
34720,
834,
553,
19849,
13,
20362,
48774,
198,
17256,
7,
22179,
6978,
7,
31,
834,
... | 2.418546 | 399 |
using FactCheck, Mongo
function with_test_db(f)
client = MongoClient()
dbname = randstring(15)
try
f(client, dbname)
finally
run_command(client, dbname, { "dropDatabase" => 1 })
end
end
function itr_to_arr(itr)
arr = {}
for el in itr push!(arr, el) end
arr
end
facts("... | [
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220,
220,
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43720,
8841,
7,
1314,
8,
628,
220,
220,
220,
1949,
198,
220,... | 2.049563 | 1,029 |
module fixed_parameters
tick_second_rate = 1
coord_meter_rate = 1
# Basic
window_size = (16, 7)
radius_with_masks = 0.4*coord_meter_rate
radius_without_masks = 1.5*coord_meter_rate
move_random_rate = 0.2
move_speed = (coord_meter_rate*1.5)/tick_second_rate
indoor_speed... | [
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220,
220,
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201,
198,
220,
220,
220,
432... | 2.14791 | 1,244 |
<filename>test/api/vertex.jl
@testset "Sugar" begin
struct ScaleByTwo
f
end
(s::ScaleByTwo)(x...) = 2s.f(x...)
@testset "Create input" begin
@test issame(inputvertex("input", 5), InputSizeVertex("input", 5))
end
@testset "Create immutable" begin
v = immutablevertex(Mat... | [
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220,
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220,
220,
220,
886,
198,
220,
... | 1.893244 | 3,597 |
using YAML
using DataStructures
using FileIO
# Functions for parsing and writing dsl files
export parse_dsl, parse_dsl_files, generate_dsl_files
# Define compatible DSL file version number, which must match when parsed.
const DSL_VERSION = VersionNumber("0.4.0")
######################################################... | [
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62,
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62,
16624,
11,
7716,
62,
67,
6649,
62,
... | 2.678625 | 2,007 |
@testset "Change bounds" begin
cp = test_LP()
change_bounds!(cp, [3; 1], xl = [-10.0; -20], xu = [10.0; 20])
@test cp.xl == [-20; 1; -10]
@test cp.xu == [20; 1; 10]
change_bounds!(
cp,
["gibberish1"; "r3"; "r1"; "gibberish2"],
xl = [0; -30.0; -40; 0],
xu = [0; 30.0; 4... | [
31,
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15,
26,
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1238... | 1.798972 | 3,308 |
<reponame>t-bltg/UnicodePlots.jl
struct FiveNumberSummary
minimum::Float64
lower_quartile::Float64
median::Float64
upper_quartile::Float64
maximum::Float64
end
mutable struct BoxplotGraphics{R<:Number} <: GraphicsArea
data::Vector{FiveNumberSummary}
color::ColorType
char_width::Int
... | [
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220,
220,
2793,
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2414,
198,
... | 2.166772 | 1,583 |
using Gridap
u_2d(x) = x[1]+x[2]
u_3d(x) = x[1]+x[2]+x[3]
domain_2d = (0,1,0,1)
domain_3d = (0,1,0,1,0,1)
cells_2d = (4,4)
cells_3d = (4,4,4)
for cells in (cells_2d,cells_3d)
domain = length(cells) == 3 ? domain_3d : domain_2d
u = length(cells) == 3 ? u_3d : u_2d
model = CartesianDiscreteModel(domain,cells)
... | [
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796... | 1.847507 | 341 |
<gh_stars>1-10
"""
# PSFModels
Statistical models for constructing point-spread functions (PSFs).
## Models
The following models are currently implemented
* [`gaussian`](@ref)/[`normal`](@ref)
* [`airydisk`](@ref)
* [`moffat`](@ref)
## Parameters
In general, the PSFs have a position, a full-width at half-maximum (... | [
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737,
198,
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2235,
32329,
198,
198,
464,
1708,
4981,
389,
3058,
9177,... | 2.473549 | 2,344 |
# Parts of this code were taken / derived from Graphs.jl. See LICENSE for
# licensing details.
"""
struct FloydWarshallState{T, U}
An [`AbstractPathState`](@ref) designed for Floyd-Warshall shortest-paths calculations.
"""
struct FloydWarshallState{T,U<:Integer} <: AbstractPathState
dists::Matrix{T}
pare... | [
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21150,
54,
5406,
439,
9012,
90,
51,
11,
471,
92,
198,
19... | 2.082808 | 1,268 |
using Test
using LinearAlgebra
using Random
using RandomExtensions
import Hecke.AbstractAlgebra
include(joinpath(pathof(AbstractAlgebra), "..", "..", "test", "Rings-conformance-tests.jl"))
import Hecke: mul!
const rng = MersenneTwister()
const rand_seed = rand(UInt128)
# tests if rand(rng, args...) gives reproduc... | [
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7,
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6978,
7,
6978,
1659,
7,
23839,
2348,
29230,
828,
366,
4... | 2.56875 | 320 |
"""
mutable struct Replica{AS<:AbstractSampler}
Replica type for replica exchange Monte Carlo. A Sunny sampler type must
be provided during construction.
"""
mutable struct Replica{AS <: AbstractSampler}
rank::Int64 # MPI rank of sampler is ∈ [0, N_ranks-1]
N_ranks::Int64 # Total numb... | [
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198,
1350,
2810,
1141,
5103,
... | 2.18425 | 9,308 |
<reponame>lsterzinger/RAMS.jl
const cp = 1004.0
const R = 287.0
const p0 = 1000.0
"""
temperature(theta, exner; celsius=false)
Returns temperature given potential temperature (`THETA` in RAMS)
and the exner function * c_p (`PI` in RAMS). Specify `celsius=true` for celsius.
"""
function temperature(theta, exner; c... | [
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480,
29,
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13,
15,
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198,
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198,
220,
220,
220,
5951,... | 2.16416 | 798 |
using Resonance
omni, tps = startup(; dfs = [:omni, :tps])
subtpset = collect(zip(omni.subject, omni.timepoint))
subj = @chain tps begin
groupby(:subject)
transform!(
nrow => :n_timepoints,
:cogScore => ByRow(!ismissing) => :has_cogScore,
AsTable(r"subject|timepoint"i) => ByRow(s -> be... | [
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7,
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7,
296,
8461,
13,
32796,
11,
39030,
8461,
13,
24... | 2.088221 | 6,019 |
# Plotting examples
# =================
# ## Plotters
# All plot functions in GridVisualize.jl have a `Plotter` keyword argument
# which defaults to `nothing`. This allows to pass a module as plotting backend
# without creating a dependency. Fully supported are `PyPlot`, `GLMakie` and `PlutoVista`.
# `WGLMakie` a... | [
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284,
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2... | 2.487506 | 1,961 |
#!/usr/bin/env julia
export pe9
pe9(n::Integer=1000)=[a*b*c for a in 1:n, b in 1:n, c in 1:n if a^2+b^2==c^2 && a+b+c==n && a<b<c]|>first
if !haskey(ENV,"PROJECT_EULER_WITHOUT_RESULT")
pe9()|>print
end
| [
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352,
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11,
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287,
3... | 1.801724 | 116 |
<filename>src/oldstuff/setvalue!.jl
function setvalue!(value,thisseq,h,x,lossIDX,target,Tmax,W,H1)
H=length(value[h[1]])
for tind=1:Tmax
value[h[tind]]=ones(H,1)/H1
end
T=length(thisseq)
for tind=1:Tmax-length(thisseq)
value[x[t... | [
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39,
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198,
220,
220,
22... | 1.61982 | 555 |
<filename>src/MultiRegion/multi_region_boundary_conditions.jl
using Oceananigans: instantiated_location
using Oceananigans.Architectures: arch_array, device_event, device_copy_to!
using Oceananigans.Operators: assumed_field_location
using Oceananigans.Fields: reduced_dimensions
using Oceananigans.BoundaryConditions:
... | [
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198,
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10692,
272,
34090,
13,
19895,
5712,
942,
25,
3934,
62,
18747... | 2.164254 | 4,974 |
using CmdStan, Turing, ContinuousBenchmarks
#using Mamba: describe
include(joinpath(ContinuousBenchmarks.STAN_MODELS_DIR, "binormal-stan.model.jl"))
global stanmodel, rc, sim1, sim, stan_time
# stanmodel = Stanmodel(name="binormal", model=binorm, Sample(save_warmup=true));
stanmodel = Stanmodel(Sample(algorithm=CmdS... | [
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25,
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7,
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7,
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13,
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1565,
62,
33365,
37142,
62,
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11,
366,
8800,
6636,
12,
... | 2.523649 | 296 |
<gh_stars>1-10
function dmrg_x_solver(PH, t, psi0; kwargs...)
H = contract(PH, ITensor(1.0))
D, U = eigen(H; ishermitian=true)
u = uniqueind(U, H)
max_overlap, max_ind = findmax(abs, array(psi0 * U))
U_max = U * dag(onehot(u => max_ind))
return U_max, nothing
end
function dmrg_x(PH, psi0::MPS; reverse_step... | [
27,
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62,
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29,
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7,
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220,
367,
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2775,
7,
11909,
11,
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22854,
7,
16,
13,
15,
4008,
198,... | 2.198953 | 191 |
# This file was generated, do not modify it. # hide
X = coerce(X, autotype(X, rules=(:discrete_to_continuous,)))
dtr_model = DecisionTreeRegressor()
dtr = machine(dtr_model, X, y)
fit!(dtr, rows=train)
ypred = predict(dtr, rows=test)
round(rms(ypred, y[test]), sigdigits=3) | [
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7,
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62,
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5623,
11,
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198,
198,
67,
2213,
62,
19849,
79... | 2.509091 | 110 |
<filename>src/postaction/post_plot_lift_moment_distribution.jl<gh_stars>0
#=##############################################################################################
Filename: post_plot_lift_moment_distribution.jl
Author: <NAME>
Contact: <EMAIL>
README: `<: PostAction` function plots the lift distribution of all l... | [
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7804,
4242,
2235,
198,
35063,
25,
1281,
62,
29487,
62,
... | 3.147806 | 1,299 |
using Plots
pyplot()
#using Random
using Distributions
using Optim
taskNr = 3;
####### Code used for several tasks #######
function myNormal(x,m,s)
# PDF of Gaussian (watch out for elementwise . !)
y = 1/sqrt(2*pi*s^2) * exp.(-(x.-m).^2 ./ (2*s^2))
return y
end
# Parameters:
N = 10000;
mu = 3.4;
sigma ... | [
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29487,
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198,
2,
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198,
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628,
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6127,
973,
329,
1811,
8861,
46424,
2235,
198,
8818,
616,
26447,
7,
... | 2.370579 | 1,244 |
crawl(h::Val{:function}, signature, body) = :(
JSAST(
:function,
$(_crawl_function_signature(signature)),
$(crawl(body)),
)
)
function deparse(::Val{:function}, signature, body)
body = jsstring(
"function ", deparse(signature), " ",
deparse(body),
)
# We need ... | [
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7,
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90,
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7,
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220,
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220,
220,
220,
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8818,
11,
198,
220,
220,
220,
220,
220,
220,
220,
720,
28264,
66... | 2.772552 | 1,552 |
<gh_stars>1-10
N = Float64
c = zeros(N, 2)
E1, E2 = diagm(N[-1, 0.5]), N[1 1; 0.5 0.3]
E = [E1, E2];
F2 = N[-0.5 1]';
F = [F2];
G = diagm(N[0.3, 0.3]);
p = PolynomialZonotope(c, E, F, G)
@test dim(p) == 2
@test order(p) == 7//2
@test polynomial_order(p) == 2
# type-specific concrete methods
scale(N(0.5), p)
linear_m... | [
27,
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29,
16,
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36,
16,
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7,
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58,
12,
16,
11,
657,
13,
20,
46570,
399,
58,
16,
352,
... | 1.740891 | 247 |
using ModelingToolkit
@variables x1 x2
@parameters dt
eq = [
-1 + 9 *x1 - 2*x1^3 + 9 *x2 - 2*x2^3,
1 - 11*x1 + 2*x1^3 + 11*x2 - 2*x2^3
]
ModelingToolkit.gradient.(eq, [[x1,x2]])
#=
os = OptimizationSystem(eq, [], [x1,x2])
calculate_gradient(os)
=# | [
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16,
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17,
198,
31,
17143,
7307,
288,
83,
198,
198,
27363,
796,
685,
198,
220,
220,
220,
532,
16,
1343,
860,
1635,
87,
16,
532,
362,
9,
87,
16,
61,
18,
1343,
860... | 1.871429 | 140 |
<filename>src/SparseEnsembleKalmanInversion.jl
#Sparse Ensemble Kalman Inversion: specific structures and function definitions
using Convex, SCS
using SparseArrays
"""
SparseInversion <: Process
A sparse ensemble Kalman Inversion process
# Fields
$(TYPEDFIELDS)
# Constructors
$(METHODLIST)
"""
Base.@kwdef str... | [
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87,
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50,
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3500,
1338,
17... | 2.287401 | 3,897 |
<filename>src/atoms/second_order_cone/norm.jl
import LinearAlgebra.norm
export norm_inf, norm, norm_1
# deprecate these soon
norm_inf(x::AbstractExpr) = maximum(abs(x))
norm_1(x::AbstractExpr) = sum(abs(x))
norm_fro(x::AbstractExpr) = norm2(vec(x))
# behavior of norm should be consistent with julia:
# * vector norms ... | [
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62,
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198,
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11,
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62,
16,
198,
198,
2,
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8344,
378,
777,
2582,
... | 2.312977 | 655 |
<gh_stars>1-10
using ODEOpt
using ODE
using Base.Test
function testgrav()
# create time samples
tmin = 0.0
tmax = 10
nsamples = 500
trange = linspace(tmin, tmax, nsamples)
#initial position
ystart = [0.2; 1.0]::Vector{Float64}
time, y = ode45(grav, ystart, trange)
x,v = extract(y)
... | [
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640,
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220,
220,
256,
1084,
79... | 2.110023 | 1,327 |
<filename>src/kinematics.jl
export get_rt_d, plot_kinx, plot_kinxt, plot_kiny, plot_kinyt, plot_kin_binx, plot_kin_biny
#=
Reaction Time Calculations
=#
function get_rt_d(kin::Array{Kinematic,1},thres::Float64)
rt=zeros(Int64,length(kin))
for i=1:length(kin)
c1=(mean(kin[i].px[1:10]),mean(kin[i... | [
27,
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62,
74,
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11,
7110,
62,
74,
3541,
83,
11,
7110,
62,
5116,
62,
8800,
... | 1.864484 | 1,985 |
struct StackedArea
time_range::Array
data_matrix::Matrix
labels::Array
end
struct BarPlot
time_range::Array
bar_data::Matrix
labels::Array
end
struct StackedGeneration
time_range::Array
data_matrix::Matrix
labels::Array
end
struct BarGeneration
time_range::Array
bar_data::... | [
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198,
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7249,
2409,
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198,
220,
220,
220,
640,
6... | 2.703836 | 1,955 |
export iauTporv
"""
In the tangent plane projection, given the rectangular coordinates
of a star and its direction cosines, determine the direction
cosines of the tangent point.
This function is part of the International Astronomical Union's
SOFA (Standards of Fundamental Astronomy) software collection.
Status: supp... | [
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286,
262,
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298,
966,
1... | 2.744649 | 1,355 |
<gh_stars>0
"""
Gage the geometric center (mean value) of an input array.
Arguments
---------
:Type{GeometricCenter}
a Julia Type object and must be ``GeometricCenter``
array::Array
a floating point array
"""
function gage(::Type{GeometricCenter}, array::Array)
if issubtype(typeof(array[1]), AbstractArray... | [
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220,
220,
220,
257,
22300,
... | 2.568075 | 213 |
immutable NaiveSolver{N, T} <: MathProgBase.AbstractMathProgSolver
rate::T
max_step::T
precondition_divisors::SVector{N, T}
iteration_limit::Int
gradient_convergence_tolerance::T
end
NaiveSolver(num_vars;
rate=1.0,
max_step=1.0,
precondition_divisors::AbstractVector=ones(SVector{num_var... | [
8608,
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25,
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220,
220,
220,
3509,
62,
9662,
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51,
198,
220,
220,
220... | 2.304745 | 1,096 |
<reponame>mfalt/ProximalOperators.jl
# indicator of the zero cone
"""
IndZero()
Returns the indicator function of the zero point, or "zero cone", i.e.,
`g(x) = 0 if x = 0, +∞ otherwise`
"""
immutable IndZero <: IndicatorConvexCone end
function (f::IndZero){T <: RealOrComplex}(x::AbstractArray{T})
for k in eac... | [
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11,
393,
... | 2.437673 | 361 |
function primal_objective(x::Array{Float64,2}, y::Array{Float64,1}; C=1.0)
s,d = size(x)
f = 0
for i in 1:s
xi = vec(x[i,:])
f += max(0, 1-y[i]*vecdot(w,xi))^2
end
f *= C
f += 0.5*vecdot(w,w)
return f
end
"""
`dualcd(x, y; <keyword arguments>)`
Solves the linear SVM proble... | [
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220,
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11,
67,
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2546,
7,
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8,
198,
220,
220,
220... | 1.882538 | 2,222 |
## Eratosthenes' prime number sieve
function primesieve(n::Int64)
if n <= 1
return Integer[]
end
p = [i for i in 1:2:n]
q = length(p)
p[1] = 2
if n >= 9
for k in 3:2:isqrt(n)
if p[(k+1)÷2] != 0
p[(k*k+1).÷2:k:q] .= 0
end
end
e... | [
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265,
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220,
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352,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
34142,
21737,
198,
220... | 1.879116 | 2,217 |
import MitosisStochasticDiffEq as MSDE
using StochasticDiffEq
using Mitosis
using LinearAlgebra
using SparseArrays
using DiffEqNoiseProcess
using Test, Random
"""
forwardsample(f, g, p, s, W, x) using the Euler-Maruyama scheme
on a time-grid s with associated noise values W
"""
function forwardsample(f, g, p, s, Ws, ... | [
11748,
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80,
355,
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36,
80,
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198,
3500,
1338,
17208,
3163,
20477,
198,
3500,
10631,
36,
80,
2949,... | 1.864396 | 4,550 |
# Define block-arrays
module BlockArrays
using LinearAlgebra
export RealOrComplex,
BlockArray,
blocksize,
blockeltype,
blocklength,
blockvecnorm,
blockmaxabs,
blocksimilar,
blockcopy,
blockcopy!,
blockset!,
blockvecdot,
blockzeros,
... | [
2,
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500,
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12,
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21412,
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3163,
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3500,
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11,
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220,
220,
220,
220,
220,
220,
9726,
19182,
11,
198,
220,
220,
220,
220,
220,
22... | 2.330462 | 1,625 |
<filename>test/pendulum_tests.jl
# model
T = Float64
verbose = false
opts_ilqr = iLQRSolverOptions{T}(verbose=verbose,live_plotting=:off)
opts_al = AugmentedLagrangianSolverOptions{T}(verbose=verbose,opts_uncon=opts_ilqr,iterations=50,penalty_scaling=10.0)
opts_altro = ALTROSolverOptions{T}(verbose=verbose,opts_al=opt... | [
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7,
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... | 2.502717 | 736 |
# Note that this script can accept some limited command-line arguments, run
# `julia build_tarballs.jl --help` to see a usage message.
using BinaryBuilder
using GitHub
name = "julia"
if !any(a->startswith(a, "--branch"), ARGS)
version = v"1.0.3"
commit_hash = "099e826241fca365a120df9bac9a9fede6e7bae4"
else
... | [
2,
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73,
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62,
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13,
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63,
284,
766,
257,
8748,
3275,
13,
198,
3500,
45755,
32875,
198,
3500,
21722,
19... | 2.659044 | 962 |
<reponame>ma-laforge/CMDimData.jl
#EasyPlot: show functions
#-------------------------------------------------------------------------------
const SHOW_INDENTSTR = " "
Base.show(io::IO, ::Axis{T}) where T = print(io, "Axis{$T}")
showcompact_lengthinfo(io::IO, d) = print(io, typeof(d))
showcompact_lengthinfo(io::IO... | [
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480,
29,
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320,
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198,
2,
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25,
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198,
2,
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24305,
198,
198,
9979,
37041,
62,
12115,
3525,
18601,
796,
366,
220,
220,
366,
198,
198,
14881,
... | 2.418133 | 739 |
using Test
import LDAPClient
@testset "URL" begin
@testset "Equality" begin
sample_url_a = LDAPClient.URL("ldap", "ds.example.com", 389, "dc=example,dc=com", ["a", "b"] , 0, nothing, ["a", "b"], 0)
sample_url_b = LDAPClient.URL("ldap", "ds.example.com", 389, "dc=example,dc=com", ["a", "b"] , 0, ... | [
198,
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31,
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1,
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628,
220,
220,
220,
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9288,
2617,
366,
36,
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1,
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198,
220,
220,
220,
220,
220,
220,
220,
6291,
62,
6371,
62,
64,
79... | 2.28169 | 923 |
<gh_stars>10-100
export MPIElasticPropagatorParams, MPIElasticSource, MPIElasticReceiver, MPIElasticPropagator, compute_PML_Params!,
MPIElasticPropagatorSolver, MPISimulatedObservation!, MPIElasticReceiver, extract_local_patch
@with_kw mutable struct MPIElasticPropagatorParams
# number of grids along x,y ax... | [
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11,
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3477,
3041,
39729,
11,
4904,
40,
9527,
3477,
24331,
363,
1352,
11,
24061,
62... | 1.781955 | 14,309 |
<gh_stars>0
module aoc_10
using Test
export read_input, part1, part2
export test_part1, test_part2, test
export input, demo
const input_r = r""
function read_input(filename = "input.txt")
[parse_line(line) for line in eachline(filename)]
end
function parse_line(line)
p... | [
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62,
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29,
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257,
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62,
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198,
220,
220,
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1262,
6208,
198,
220,
220,
220,
10784,
1100,
62,
15414,
11,
636,
16,
11,
636,
17,
198,
220,
220,
220,
10784,
1332,
62,
3911,
16,
11,
1332,
62,
3911,
... | 1.925342 | 1,460 |
<gh_stars>100-1000
using GaussianProcesses
using BenchmarkLite
# Define Benchmark test
type GP_UpdateBenchmark <: Proc
d::Int
op::Function
GP_UpdateBenchmark(d::Int, op::Function) = new(d, op)
end
AbstractString(proc::GP_UpdateBenchmark) = "Dim: $(proc.d)"
Base.length(proc::GP_UpdateBenchmark, cfg) = cfg... | [
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4102,
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198,
198,
2,
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500,
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198,
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4906,
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62,
10260,
44199,
4102,
1279,
25,
31345,
198,
220,
220,
... | 2.325726 | 482 |
<gh_stars>0
@testset "Isogenies" begin
K = GF(7)
E1 = EllipticCurve(K, [1, 2, 3, 4, 5])
E2 = EllipticCurve(K, [1, 2, 3, 1, 1])
phi = @inferred isogeny_from_kernel(E1, division_polynomial_univariate(E1,3)[1])
@test @inferred domain(phi) == E1
@test @inferred codomain(phi) == E2
@test is_isomorphic(E1, codo... | [
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62,
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29,
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366,
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7,
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8,
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220,
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16,
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291,
26628,
303,
7,
42,
11,
685,
16,
11,
362,
11,
513,
11,
604,
11,
64... | 2.013292 | 978 |
<gh_stars>0
module Config
using QuantumESPRESSO.Inputs.PWscf: PWInput
using QuantumESPRESSO.Commands: QuantumESPRESSOConfig, PwxConfig
using AbInitioSoftwareBase.Commands: CommandConfig, MpiexecConfig
import Configurations: convert_to_option
import Express.EquationOfStateWorkflow.Config: RuntimeConfig, ExpandConfig
... | [
27,
456,
62,
30783,
29,
15,
198,
21412,
17056,
198,
198,
3500,
29082,
1546,
32761,
46,
13,
20560,
82,
13,
47,
54,
1416,
69,
25,
44141,
20560,
198,
3500,
29082,
1546,
32761,
46,
13,
6935,
1746,
25,
29082,
1546,
32761,
46,
16934,
11,
... | 2.815451 | 233 |
""" AST and pretty printer for Graphviz's DOT language.
References:
- DOT grammar: http://www.graphviz.org/doc/info/lang.html
- DOT language guide: http://www.graphviz.org/pdf/dotguide.pdf
"""
module Graphviz
export Expression, Statement, Attributes, Graph, Digraph, Subgraph,
Node, NodeID, Edge, pprint, parse_graph... | [
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25,
198,
198,
12,
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25,
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2503,
13,
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528,
13,
2398,
14,
15390,
14,
10951,
14,
17204,
13,
6494,
198,
12,
4274... | 2.578985 | 4,178 |
using IPIL8
using Test
@testset "IPIL8.jl" begin
include("direct.jl");
end
| [
3500,
6101,
4146,
23,
198,
3500,
6208,
198,
198,
31,
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2617,
366,
4061,
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23,
13,
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1,
2221,
198,
220,
220,
220,
2291,
7203,
12942,
13,
20362,
15341,
198,
437,
198
] | 2.424242 | 33 |
<reponame>emstoudenmire/ITensors.jl
function contract(T::BlockSparseTensor,
labelsT,
C::CombinerTensor,
labelsC)
# Get the label marking the combined index
# By convention the combined index is the first one
# TODO: consider storing the location of the combin... | [
27,
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261,
480,
29,
368,
301,
2778,
268,
47004,
14,
2043,
641,
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198,
198,
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2775,
7,
51,
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50,
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51,
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11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
22... | 2.145038 | 917 |
module TwoPlayerTest
using Test
import Cribbage: CribbageGame, GameState, UnexpectedPlayerException
import Cribbage.RandomPlay: RandomPlayer
using Cribbage.TwoPlayer
@testset "Test TwoPlayerGame Constructor" begin
p₁ = RandomPlayer("player one")
@test_throws AssertionError TwoPlayerGame(p₁, p₁)
p₂ = Ra... | [
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198,
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220,
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198,
198,
11748,
327,
822,
13866,
25,
327,
822,
13866,
8777,
11,
3776,
9012,
11,
471,
42072,
14140,
16922,
198,
11748,
327,
822,
13866,
13,
29531,
11002,
25,
14534,
14140,
198,
3500,... | 2.537053 | 1,147 |
<reponame>dantaras/LightBSON.jl
struct BSONObjectId
data::NTuple{12, UInt8}
end
Base.isless(x::BSONObjectId, y::BSONObjectId) = x.data < y.data
function BSONObjectId(x::AbstractVector{UInt8})
length(x) == 12 || throw(ArgumentError("ObjectId bytes must be 12 long"))
BSONObjectId(NTuple{12, UInt8}(x))
end
... | [
27,
7856,
261,
480,
29,
67,
415,
283,
292,
14,
15047,
4462,
1340,
13,
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7249,
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220,
220,
220,
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90,
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11,
471,
5317,
23,
92,
198,
437,
198,
198,
14881,
13,
271,
12... | 2.065245 | 1,594 |
add_format(format"PLY_ASCII", "ply\nformat ascii 1.0", ".ply")
add_format(format"PLY_BINARY", "ply\nformat binary_little_endian 1.0", ".ply")
function type(t)
if t == "float" return Float32
else throw(ArgumentError("unexpected property type $t")) end
end
parseheader(io::IO, ::format"PLY_BINARY") = parseheade... | [
2860,
62,
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7,
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1,
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62,
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7,
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1,
6489,
56,
62,
33,
1268,
13153,
1600,
366,
2145,
59,
... | 2.246924 | 1,219 |
# getfunction.jl
#
# Makro to ease access to C functions; mainly adopted from the GetC-Package
# for Julia. What is desired is e.g. the following:
#
# INPUT:
# void mgl_surf(HMGL gr, HCDT z, char *sch, char *opt);
# mgl_surf(gr::HMGL, z::HCDT, sch::Ptr{Cchar}, opt::Ptr{Cchar})::Void
#
# OUTPUT:
# function mgl_surf(g... | [
2,
651,
8818,
13,
20362,
198,
2,
198,
2,
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305,
284,
10152,
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318,
10348,
318,
304,
13,
70,
13,
262,
1708,
25,
198,
2,
198,
... | 2.075885 | 593 |
<filename>test/NNPDE_tests.jl
using Flux
println("NNPDE_tests")
using DiffEqFlux
println("Starting Soon!")
using ModelingToolkit
using DiffEqBase
using Test, NeuralPDE
using GalacticOptim
using Optim
cb = function (p,l)
println("Current loss is: $l")
return false
end
## Example 1, 1D ode
@parameters t θ
@vari... | [
27,
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29,
9288,
14,
6144,
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62,
41989,
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80,
37,
22564,
198,
35235,
7203,
22851,
15894,
2474,
8,
198,
3500,
9104,
... | 1.970237 | 5,107 |
@inline cld_fast(x, y) = cld(x, y)
@inline function cld_fast(x::I, y) where {I <: Base.BitInteger}
d = div_fast(x, y)
(d + (d * unsigned(y) != unsigned(x))) % I
end
@inline cld_fast(::StaticInt{N}, y) where {N} = cld_fast(N, y)
cld_fast(::StaticInt{N}, ::StaticInt{M}) where {N,M}= (StaticInt{N}() + StaticInt{M}... | [
31,
45145,
269,
335,
62,
7217,
7,
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11,
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8,
796,
269,
335,
7,
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31,
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2163,
269,
335,
62,
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7,
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8,
810,
1391,
40,
1279,
25,
7308,
13,
13128,
46541,
92,
198,
220,
220,
... | 2.202381 | 588 |
<reponame>UnofficialJuliaMirrorSnapshots/DrakeLCMTypes.jl-6484683b-de53-5689-b9d2-2f18b83297fe
mutable struct support_data_t <: LCMType
timestamp::Int64
body_name::String
num_contact_pts::Int32
contact_pts::Matrix{Float64}
total_normal_force_upper_bound::Float32
total_normal_force_lower_bound::F... | [
27,
7856,
261,
480,
29,
3118,
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5705,
47521,
65,
12,
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4310,
12,
20,
40523,
12,
65,
24,
67,
17,
12,
17,
69,
1507,
65,
5999,
265... | 2.323144 | 229 |
using F16Model
d2r = pi/180;
npos = 0;
epos = 0;
alt = 10000;
phi = 0;
theta = 0;
psi = 0;
Vt = 300;
alp = 15*d2r;
bet = 0;
p = 0;
q = 0;
r = 0;
x0 = [npos,epos,alt,phi,theta,psi,Vt,alp,bet,p,q,r];
u0 = [9000,0,0,0,0];
# Example 1: Determine xdot
# -------------------------
# There are two ways. See below.
xdot1 = ... | [
3500,
376,
1433,
17633,
198,
198,
67,
17,
81,
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26,
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26,
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26,
198,
34846,
796,
657,
26,
198,
1169,
8326,
796,
657,
26,
198,
862,
72,... | 2.809949 | 784 |
<reponame>JuliaPackageMirrors/Luxor.jl
#!/usr/bin/env julia
using Luxor
# coordinates are in RA seconds float and Declination seconds float
constellation_names = Dict(
"AND"=> ("Andromeda","Daughter of Cassiopeia"),
"ANT"=> ("Antlia","The Air Pump"),
"APS"=> ("Apus","Bird of Paradise"),
"AQR"=> ("Aquarius","The Wate... | [
27,
7856,
261,
480,
29,
16980,
544,
27813,
27453,
5965,
14,
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273,
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198,
2,
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14629,
14,
8800,
14,
24330,
474,
43640,
198,
198,
3500,
17145,
273,
198,
198,
2,
22715,
389,
287,
17926,
4201,
12178,
290,
16691,
1... | 1.813282 | 28,278 |
module Time
import Calendar
using Calendar
import Base.string
include("business_calendars.jl")
include("day_count.jl")
end
| [
21412,
3862,
198,
198,
11748,
26506,
198,
3500,
26506,
198,
198,
11748,
7308,
13,
8841,
198,
198,
17256,
7203,
22680,
62,
9948,
44942,
13,
20362,
4943,
198,
198,
17256,
7203,
820,
62,
9127,
13,
20362,
4943,
198,
198,
437,
198
] | 3.2 | 40 |
<reponame>OpenJAC/JAC.jl<filename>examples/example-Cg.jl
#
println("Cg) Test of the reduced 1- and 2-particle density matrices & natural orbitals.")
#
setDefaults("print summary: open", "zzz-ReducedDensityMatrix.sum")
wa = Atomic.Computation(Atomic.Computation(), name="xx", grid=Radial.Grid(true), nuclearModel=Nuclear... | [
27,
7856,
261,
480,
29,
11505,
41,
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14,
41,
2246,
13,
20362,
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29,
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12629,
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198,
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34,
70,
8,
6208,
286,
262,
5322,
352,
12,
290,
362,
12,
3911,
1548,
... | 2.488479 | 217 |
<reponame>bintulab/cr_theory_mukund2021<filename>fig_s3/fig_s3.jl
using Colors, ColorSchemes
using DataFrames
using StatsPlots
using Statistics
using GLM
using Measures
using LsqFit
pyplot(grid=false)
fnt = Plots.font("Arial")
default(titlefont=fnt, guidefont=fnt, tickfont=fnt, legendfont=fnt)
# Plots.resetfontsizes(... | [
27,
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261,
480,
29,
65,
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397,
14,
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62,
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652,
62,
76,
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917,
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29,
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62,
82,
18,
14,
5647,
62,
82,
18,
13,
20362,
198,
3500,
29792,
11,
5315,
27054,
6880,
198,
3500,
6060,
35439... | 2.16935 | 3,106 |
using Mux
using HTTP
using JSON
using OpenIDConnect
using JWTs
headers(req) = req[:headers]
query(req) = parse_query(req[:query])
function parse_query(qstr)
res = Dict{String,String}()
for qsub in split(qstr, '&')
nv = split(qsub, '=')
res[nv[1]] = length(nv) > 1 ? nv[2] : ""
end
res
en... | [
3500,
337,
2821,
198,
3500,
14626,
198,
3500,
19449,
198,
3500,
4946,
2389,
13313,
198,
3500,
449,
54,
33758,
198,
198,
50145,
7,
42180,
8,
796,
43089,
58,
25,
50145,
60,
198,
22766,
7,
42180,
8,
796,
21136,
62,
22766,
7,
42180,
58,... | 2.139748 | 1,746 |
"""
Filter out cells which are not satisfy specific criteria.
"""
function filter_cells!(p::Profile; min_counts::Real=0, max_counts::Real=maximum(sum(p.data,dims=1)),
min_genes::Real=0, max_genes::Real=nrow(p))
check_cell_args(min_counts, max_counts, min_genes, max_genes)
return _filt... | [
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198,
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503,
4778,
543,
389,
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7,
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26,
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15633,
28,
15,
11,
3509,
62,
9127,
82,
3712,
15633,
28,
47033,
7,
1634... | 2.265586 | 1,604 |
<reponame>jordiabante/CpelTdm.jl
###################################################################################################
# FUNCTIONS
###################################################################################################
"""
`create_Ux([N1,...,NK],[α1,...,αK],β)`
Function that creates a... | [
27,
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261,
480,
29,
73,
585,
72,
397,
12427,
14,
34,
30242,
51,
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11053,
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29113,
29113,
29113,
21017,
198,
37811,
198,
220,
220,
220,
4600,
17953,
62,
52,
... | 2.009329 | 7,611 |
<gh_stars>1-10
@testset "save_surfaces.jl" begin
end
| [
27,
456,
62,
30783,
29,
16,
12,
940,
198,
31,
9288,
2617,
366,
21928,
62,
11793,
32186,
13,
20362,
1,
2221,
198,
198,
437,
198
] | 2.16 | 25 |
<filename>src/model2fit/mapped_parameters.jl
export Model2Fit_Mapped_Parameters
export get_model_θ, get_model
@doc raw"""
Create a new model, where some parameters are computed using a
[`Abstract_Map`](@ref).
TODO: not clear how to use it: certainly need a refactoring...
# Also see
- [`Model2Fit_Shared_Parameters`]... | [
27,
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29,
10677,
14,
19849,
17,
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14,
76,
6320,
62,
17143,
7307,
13,
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198,
39344,
9104,
17,
31805,
62,
44,
6320,
62,
48944,
198,
39344,
651,
62,
19849,
62,
138,
116,
11,
651,
62,
19849,
198,
198,
31,
15390,
8246,
3... | 2.100054 | 1,849 |
<reponame>SamuelWiqvist/efficient_SDEMEM<gh_stars>0
using Pkg
using LinearAlgebra
using DataFrames
import Statistics.mean
import Statistics.std
using Printf
using CSV
# load functions
include(pwd()*"/src/SDEMEM OU neuron data/ou_sdemem.jl")
include(pwd()*"/src/SDEMEM OU neuron data/mcmc.jl")
seed = 100
M_subjects = ... | [
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261,
480,
29,
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85,
396,
14,
16814,
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62,
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350,
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198,
3500,
44800,
2348,
29230,
198,
3500,
6060,
35439,
198,
11748,
14370,
13,
32604,
198,
... | 2.250414 | 1,813 |
<reponame>rayosborn/nxpeaks
# Helper code
"""
spdiagm_nonsquare(m, n, args...)
Construct a sparse diagonal matrix from Pairs of vectors and diagonals. Each
vector arg.second will be placed on the arg.first diagonal. By default (if
size=nothing), the matrix is square and its size is inferred from kv, but a
non-squa... | [
27,
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261,
480,
29,
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418,
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14,
77,
87,
431,
4730,
198,
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2,
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525,
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198,
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198,
220,
599,
10989,
363,
76,
62,
77,
684,
421,
533,
7,
76,
11,
299,
11,
26498,
23029,
198,
198,
42316,
257,
29877,
... | 2.071169 | 2,754 |
<reponame>konkam/DualOptimalFiltering
function filter_CIR(δ, γ, σ, λ, data; silence = false, trim0 = false)
times = keys(data) |> collect |> sort
Λ_of_t = Dict{Float64, Array{Int64,1}}()
wms_of_t = Dict{Float64, Array{Float64,1}}()
θ_of_t = Dict{Float64, Float64}()
filtered_θ, filtered_Λ, filtered... | [
27,
7856,
261,
480,
29,
74,
261,
74,
321,
14,
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27871,
4402,
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11,
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119,
11,
1366,
26,
9550,
796,
3991,
11,
15797,
15,
796,
3991,
8... | 1.926199 | 1,084 |
Base.summary(p::DiscreteDynamicProblem) =
string(TYPE_COLOR, nameof(typeof(p)),
NO_COLOR, " with ",
TYPE_COLOR, length(p.tStateVectors),
NO_COLOR, " state variables and ",
TYPE_COLOR, length(p.tChoiceVectors),
NO_COLOR, " choice variable(s) ",
)
function Base.show(io::IO, p::DiscreteDynami... | [
198,
14881,
13,
49736,
7,
79,
3712,
15642,
8374,
44090,
40781,
8,
796,
198,
220,
220,
220,
4731,
7,
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62,
46786,
11,
1438,
1659,
7,
4906,
1659,
7,
79,
36911,
198,
220,
220,
220,
8005,
62,
46786,
11,
366,
351,
33172,
198,
220,... | 2.396947 | 262 |
<filename>src/sudoku.jl
function loadpuzzle(s::String)
s = replace(s, r"\s" => "")
s = map(c -> c in "-._" ? 0 : parse(Int, c), s |> collect)
reshape(s, 9, 9) |> permutedims
end
loadpuzzle(mat::Matrix{<:Integer}) = copy(mat)
function possinit!(P::Matrix{UInt16}, grid::Matrix)
P .= 0
for r in 1:9
... | [
27,
34345,
29,
10677,
14,
82,
463,
11601,
13,
20362,
198,
8818,
3440,
79,
9625,
7,
82,
3712,
10100,
8,
198,
220,
220,
220,
264,
796,
6330,
7,
82,
11,
374,
1,
59,
82,
1,
5218,
366,
4943,
198,
220,
220,
220,
264,
796,
3975,
7,
... | 1.689254 | 4,811 |
<filename>src/base/Extensions.jl<gh_stars>0
import Base.+
function +(buffer::Array{String,1}, content::String;
prefix::Union{String,Nothing}=nothing,suffix::Union{String,Nothing}=nothing)
# create a new content line -
new_line = content
# prefix -
if (prefix !== nothing)
new_lin... | [
27,
34345,
29,
10677,
14,
8692,
14,
11627,
5736,
13,
20362,
27,
456,
62,
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29,
15,
198,
11748,
7308,
13,
10,
628,
198,
8818,
1343,
7,
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3712,
19182,
90,
10100,
11,
16,
5512,
2695,
3712,
10100,
26,
220,
198,
220,
220,
220... | 2.306569 | 822 |
<filename>exercises/pythagorean-triplet/example.jl
"""
pythagorean_triplets(n)
Find all positive integer triplets `(a, b, c)` s.t. `a + b + c = n` and `a < b < c` and `a^2 + b^2 == c^2`.
"""
# cmcaine's answer, with thanks to akshu3398.
function pythagorean_triplets(n)
triplets = NTuple{3, Int}[]
# Lower b... | [
27,
34345,
29,
1069,
2798,
2696,
14,
79,
5272,
363,
29456,
12,
28461,
37069,
14,
20688,
13,
20362,
198,
37811,
198,
220,
220,
220,
279,
5272,
363,
29456,
62,
28461,
46916,
7,
77,
8,
198,
198,
16742,
477,
3967,
18253,
15055,
912,
460... | 1.990512 | 527 |
<reponame>JeffreySarnoff/FastRounding.jl
module FastRounding
export add_round, sub_round, mul_round, square_round,
inv_round, div_round, sqrt_round,
⊕₊, ⊕₋, ⊕₌, ⊕₀, ⊕₁,
⊖₊, ⊖₋, ⊖₌, ⊖₀, ⊖₁,
⊗₊, ⊗₋, ⊗₌, ⊗₀, ⊗₁,
⊘₊, ⊘₋, ⊘₌, ⊘₀, ⊘₁,
⊚₊, ⊚₋, ⊚₌, ⊚₀, ⊚₁,
⊙₊, ⊙₋, ⊙₌, ⊙₀, ⊙₁,
... | [
27,
7856,
261,
480,
29,
19139,
4364,
50,
1501,
2364,
14,
22968,
49,
9969,
13,
20362,
198,
21412,
12549,
49,
9969,
198,
198,
39344,
751,
62,
744,
11,
850,
62,
744,
11,
35971,
62,
744,
11,
6616,
62,
744,
11,
198,
220,
220,
220,
22... | 1.995126 | 4,514 |
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