# Path: frbpoppy/paths.py
# class Paths():
#     def __init__(self):
#     def __str__(self):
#     def check(self, path):
#     def store(self, name, default, *args):
#     def data(self, *args):
#     def populations(self, *args):
#     def surveys(self, *args):
#     def models(self, *args):
#     def frbcat(self, *args):


from datetime import timedelta
from frbpoppy.paths import paths
import ctypes as C
import math
import numpy as np
import os
import pandas as pd
import random
"""
Series of galactic operations (doesn't that sound cool?!).

...as in converting coordinates, calculating DM etc.
"""


# Import fortran libraries
uni_mods = os.path.join(paths.models(), 'universe/')

# Path: frbpoppy/paths.py
# class Paths():
#     def __init__(self):
#     def __str__(self):
#     def check(self, path):
#     def store(self, name, default, *args):
#     def data(self, *args):
#     def populations(self, *args):
#     def surveys(self, *args):
#     def models(self, *args):
#     def frbcat(self, *args):


# Path: frbpoppy/galacticops.py
from datetime import timedelta
from frbpoppy.paths import paths
import ctypes as C
import math
import numpy as np
import os
import pandas as pd
import random

"""
Series of galactic operations (doesn't that sound cool?!).

...as in converting coordinates, calculating DM etc.
"""


# Import fortran libraries
uni_mods = os.path.join(paths.models(), 'universe/')

dm_mods = os.path.join(paths.models(), 'ne2001/')