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import numpy as np
from scipy.spatial import cKDTree as KDTree
import xarray as xr

def grid_to_points(grid, points, coord_names):
  """Index a gridded dataset with a Pandas DataFrame of station coordinates
  
  grid : xr.Dataset or xr.DataArray
    gridded source data
  points : pd.Dataframe

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"""
Convert PHC 3.0 data from Levitus ASCII to netCDF

Polar science center Hydrographic Climatology (PHC)
A Global Ocean Hydrography with a High Quality Arctic Ocean
http://psc.apl.washington.edu/nonwp_projects/PHC/Climatology.html

Citation:
    PHC 3.0, updated from:
    Steele, M., R. Morley, and W. Ermold, PHC: A global

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#!/bin/bash 

msls () {

    rd=$1
    ssh_loc=$2
    scp_loc=$3
    if [ "${ssh_loc}" != "" ] && [ "${scp_loc}" != "" ]; then
	ssh -q ${ssh_loc} "ssh -q ${scp_loc} ls -l ${rd}"
    fi

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import re

with open('cic.html', 'r') as f:
    raw = f.read()

    r = r"[a-z0-9!#$%&'*+/=?^_`{|}~-]+(?:\.[a-z0-9!#$%&'*+/=?^_`{|}~-]+)*@(?:[a-z0-9](?:[a-z0-9-]*[a-z0-9])?\.)+[a-z0-9](?:[a-z0-9-]*[a-z0-9])?"

    add = re.findall(r, raw)

unique = sorted(set(add))

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class Struct():
    """Create a custom class from a dictionary

    Usage
    -----
    Initialize empty, with a dictionary, and/or 
    with any number of key=value pairs

    Note
    ----

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import re

def extract_email_addresses(adds):
    adds = ''.join(adds.split())
    adds = re.sub(r'(\"|\,)', ' ', adds)
    adds = re.split(r'\<(.*?\@.*?)\>', adds)
    #adds = re.findall(r"^[A-Za-z0-9\.\+_-]+@[A-Za-z0-9\._-]+\.[a-zA-Z]*$", ''.join(adds))
    adds = [a for a in adds if '@' in a]
    return adds