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ssh -L <the port I will open in my browser>:<the hostname of the node on the cluster>:<the port on the node> \
    cluster-login-hostname.com

# examples 

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import properscoring
properscoring._crps.np = cupy
properscoring._crps._crps_ensemble_core = properscoring._crps._crps_ensemble_vectorized
import cupy as np

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# https://davidmathlogic.com/colorblind/#%23000000-%23E69F00-%2356B4E9-%23009E73-%23F0E442-%230072B2-%23D55E00-%23CC79A7
wong_palette = [
    "#000000",
    "#E69F00",
    "#56B4E9",
    "#009E73",
    "#F0E442",
    "#0072B2",
    "#D55E00",
    "#CC79A7",

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"""
Copyright 2021 Noah D. Brenowitz

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE US

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module python
   use machine , only : kind_phys
   use callpy_mod
   implicit none
   character(len=*), parameter :: python_module = "plugin"

   contains

   subroutine python_init ()
      call call_function(python_module, "init")

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all:
	${CC} -lpython3.8 -I${python}/include/python3.8 main.c

check:
	./a.out

install:
	mkdir -p ${out}/bin
	cp a.out ${out}/bin/main

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from numpy.core.fromnumeric import var
from numpy.lib.function_base import place
import streamlit as st
import intake
import xarray as xr
import cloudpickle
import matplotlib.pyplot as plt
from collections import defaultdict

st.header("Modern `ncview` (of course it's slower!)")