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dfm

import tensorflow_probability.substrates.jax as tfp
import jax.numpy as jnp
import jax.scipy as jsp
from jax import lax
import jax.random as random
from numpyro.distributions import constraints
from numpyro.distributions.distribution import Distribution
from numpyro.distributions.util import is_prng_key, promote_shapes, validate_sample

def _random_chi2(key, df, shape=(), dtype=jnp.float_):

dfm

channels:
  - conda-forge
dependencies:
  - python =3.9
  - numpy
  - mkl-service
  - scipy
  - matplotlib
  - jupyter
  - jupyterlab

dfm

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import os
import re
import time
import json
import argparse
import requests
import tempfile

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from astropy.io import ascii
import astropy.units as u
from astropy.coordinates import SkyCoord
from astroquery.gaia import Gaia


def find_one(ra, dec, mag):
    coord = SkyCoord(ra=ra, dec=dec, unit=(u.deg, u.deg))
    radius = 5 * u.arcsec
    j = Gaia.cone_search_async(coord, radius)

dfm