using DimensionalData
using GeoData
# Functions to be extended
"""
gridcoordinates(::Gridtype,x)
using NetCDF, YAXArrays | |
import DiskArrayEngine as DAE | |
ds = open_dataset("/Net/Groups/BGI/data/DataStructureMDI/DATA/Incoming/ESACCI/LC/v2_1_1/orgdata/C3S-LC-L4-LCCS-Map-300m-P1Y-2020-v2.1.1.nc") | |
lc = ds.lccs_class | |
c = YAXArrays.counter(lc) | |
using Distributed | |
addprocs(16) |
import DiskArrays: AbstractDiskArray, DiskArrays, Unchunked, Chunked, GridChunks | |
struct SimpleFileDiskArray{C<:Union{Int,Nothing}} <: AbstractDiskArray{UInt8,1} | |
file::String | |
s::Int | |
chunksize::C | |
end | |
Base.size(s::SimpleFileDiskArray) = (s.s,) | |
function SimpleFileDiskArray(filename;chunksize=nothing) | |
isfile(filename) || throw(ArgumentError("File $filename does not exist")) |
using Dagger | |
struct PartialShard | |
chunks::Dict{Dagger.Processor,Tuple{Dagger.Chunk,Dagger.Chunk}} | |
end | |
function partialshard(@nospecialize(f); procs=nothing, workers=nothing, per_thread=false) | |
if procs === nothing |
import Interpolations | |
import Dierckx | |
function interpolate_data(tsteps_old, tsteps_new, y, options) | |
# Apply interpolation according to the options | |
y_interp = if options.interpolation_method == "Dierckx" | |
if options.boundary_condition == "flat" | |
s = Dierckx.Spline1D(tsteps_old,y,bc="nearest") | |
s(tsteps_new) |
module SphericalHarmonics | |
using FastTransforms | |
import Geodesy: LLA,distance | |
immutable PLM{T} | |
coefs::Matrix{T} | |
end | |
function lm2ij(l,m) | |
l<0 && throw(BoundsError("l must be positive")) |
using DimensionalData
using GeoData
# Functions to be extended
"""
gridcoordinates(::Gridtype,x)
import Tokenize.Tokens: IDENTIFIER, LSQUARE, COMMA, RSQUARE, STRING, ENDMARKER | |
function parsetokens(t,ar) | |
if t[1].kind==Tokenize.Tokens.IDENTIFIER | |
@assert t[2].kind==LSQUARE | |
brackcount=1 | |
i=3 | |
while true | |
t[i].kind==LSQUARE && (brackcount=brackcount+1) | |
t[i].kind==RSQUARE && (brackcount=brackcount-1) | |
brackcount==0 && break |
FROM jupyter/datascience-notebook:eb149a8c333a | |
MAINTAINER [email protected] | |
LABEL version='0.6.1' | |
USER root | |
RUN sudo apt-get update && sudo apt-get upgrade -y | |
RUN sudo apt-get install -y git unzip apt-utils vim | |
ADD start.sh /usr/local/bin/start.sh |
{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": 1, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"import numpy as np\n", | |
"import numpy.fft as fft\n", |