<jupyter_start><jupyter_text>Testing SunPy `.genx` Reader<jupyter_code>import os

import numpy as np
from sunpy.io.special import read_genx
import astropy.units as u
aia_data = read_genx('/Users/willbarnes/Documents/Rice/Research/ssw/sdo/aia/response/aia_V6_all_fullinst.genx')
'A171_FULL' in aia_data.keys()
channel171_data = aia_data['a171_full'.upper()]
channel171_data['geoarea']
channel171_data['platescale'.upper()]
(0.6)**2/(4.25e10)
u.steradian
u.pixel<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.13673469387755102, 'fraction_numerical': 0.04897959183673469, 'mean_word_length': 7.927272727272728, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '444208', 'license': 'MIT', 'n_tokens_mistral': 218, 'n_tokens_neox': 201, 'n_words': 29, 'path': 'notebooks/sunpy_genx_reader.ipynb', 'repo_name': 'wtbarnes/aia_response', 'size': '490'}