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import serial
import sys
from time import sleep
from datetime import datetime

def find_serial_ports():
    """ Lists serial port names

        :raises EnvironmentError:
            On unsupported or unknown platforms

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import time
from console.screen import sc
from math import floor
from console import fg, bg, fx
import random
from datetime import datetime

colors = [fg.green, fg.yellow, fg.blue, fg.red, fg.default,
          fg.royalblue, fg.lightslateblue, fg.steelblue,
          fg.magenta, fg.violet, fg.mediumpurple,

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About the Contributor License Agreement

Everybody who contributes code to Leeman Geophysical LLC public projects is going to be asked to sign a Contributor License Agreement (CLA). Our CLA comes from Project Harmony, which is a community-centered group focused on contributor agreements for free and open source software.

The document you are reading now is not a legal analysis of the CLA. If you want one of those, please talk to your lawyer. This is a description of the

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import serial
import sys
import time
from datetime import datetime

def post_data_to_chords(data, time):
    # 88.1, 88.7, 93.3, 97.9, 100.3, 101.1, 105.9, T, p, rh
    sensor_indices = [1, 4, 27, 50, 62, 66, 90]
    sensor_id = 'fmradar'

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import serial
from datetime import datetime

def get_infrasound_reading():
    data = int(ser.readline())
    time = datetime.strftime(datetime.utcnow(), '%m-%d-%YT%H:%M:%S.%f')
    return time, data

def get_new_hourly_file():
    current_file_time = datetime.utcnow()

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import multiprocessing as mp
from datetime import datetime

import cartopy.crs as ccrs
import cartopy.feature as cfeature
import matplotlib.pyplot as plt
from matplotlib import patheffects
from metpy.plots.ctables import registry
from siphon.catalog import TDSCatalog

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from datetime import datetime
from scipy import interpolate
from siphon.catalog import TDSCatalog
from netCDF4 import Dataset
import matplotlib.pyplot as plt
from matplotlib import patheffects
import cartopy.feature as cfeat
import cartopy.crs as ccrs
import numpy as np
from metpy.plots import add_logo

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