# Path: crowdastro/config.py
# SCRIPT_PATH = os.path.dirname(os.path.realpath(__file__))
# def get(*args, **kwargs):
# 
# Path: crowdastro/exceptions.py
# class CatalogueError(Exception):
#     pass


import argparse
import csv
import hashlib
import logging
import os
import astropy.io.fits
import astropy.utils.exceptions
import astropy.wcs
import h5py
import numpy
import scipy.spatial.distance
import sklearn.neighbors
from astropy.coordinates import SkyCoord
from astropy.io import ascii
from .config import config
from .exceptions import CatalogueError
    from . import rgz_data as data
    from . import rgz_data as data
    from . import rgz_data as data
                         pix_offset):
    """Converts a raw RGZ classification into a classification dict.

    Scales all positions and flips y axis of clicks.

    classification: RGZ classification dict.
    subject: Associated RGZ subject dict.
    atlas_positions: [[RA, DEC]] NumPy array.
    wcs: World coordinate system of the ATLAS image.
    pix_offset: (x, y) pixel position of this radio subject on the ATLAS image.
    -> dict mapping radio signature to list of corresponding IR host pixel
        locations.
    """
    result = {}

    n_invalid = 0

    for annotation in classification['annotations']:
        if 'radio' not in annotation:
            # This is a metadata annotation and we can ignore it.
            continue

        if annotation['radio'] == 'No Contours':
            # I'm not sure how this occurs. I'm going to ignore it.
            continue

        try:
            radio_signature = make_radio_combination_signature(
                    annotation['radio'], wcs, atlas_positions,
                    subject, pix_offset)

# Path: crowdastro/config.py
# SCRIPT_PATH = os.path.dirname(os.path.realpath(__file__))
# def get(*args, **kwargs):
# 
# Path: crowdastro/exceptions.py
# class CatalogueError(Exception):
#     pass


# Path: crowdastro/import_data.py
import argparse
import csv
import hashlib
import logging
import os
import astropy.io.fits
import astropy.utils.exceptions
import astropy.wcs
import h5py
import numpy
import scipy.spatial.distance
import sklearn.neighbors
from astropy.coordinates import SkyCoord
from astropy.io import ascii
from .config import config
from .exceptions import CatalogueError
    from . import rgz_data as data
    from . import rgz_data as data
    from . import rgz_data as data

                         pix_offset):
    """Converts a raw RGZ classification into a classification dict.

    Scales all positions and flips y axis of clicks.

    classification: RGZ classification dict.
    subject: Associated RGZ subject dict.
    atlas_positions: [[RA, DEC]] NumPy array.
    wcs: World coordinate system of the ATLAS image.
    pix_offset: (x, y) pixel position of this radio subject on the ATLAS image.
    -> dict mapping radio signature to list of corresponding IR host pixel
        locations.
    """
    result = {}

    n_invalid = 0

    for annotation in classification['annotations']:
        if 'radio' not in annotation:
            # This is a metadata annotation and we can ignore it.
            continue

        if annotation['radio'] == 'No Contours':
            # I'm not sure how this occurs. I'm going to ignore it.
            continue

        try:
            radio_signature = make_radio_combination_signature(
                    annotation['radio'], wcs, atlas_positions,
                    subject, pix_offset)

        except CatalogueError: