| 2022-06-01 11:34:17,098 [ INFO] Logs saved in /Users/bendichter/Library/Logs/dandi-cli/20220601153356Z-59646.log | |
| (base) MacBook-Pro-3:~ bendichter$ dandi download https://dandiarchive.org/dandisets/000053/versions/"draft"/assets/?path="sub-npJ3/sub-npJ3_ses-20190504_behavior.nwb" | |
| (base) MacBook-Pro-3:~ bendichter$ | |
| (base) MacBook-Pro-3:~ bendichter$ | |
| (base) MacBook-Pro-3:~ bendichter$ | |
| (base) MacBook-Pro-3:~ bendichter$ dandi download https://dandiarchive.org/dandisets/000053/versions/"draft"/assets/?path="sub-npJ3/sub-npJ3_ses-20190504_behavior.nwb" | |
| (base) MacBook-Pro-3:~ bendichter$ | |
| (base) MacBook-Pro-3:~ bendichter$ cat /Users/bendichter/Library/Logs/dandi-cli/20220601153356Z-59646.log | |
| 2022-06-01T11:33:56-0400 [INFO ] dandi 59646:8602854912 dandi v0.40.0, hdmf v3.2.1, pynwb v2.0.1, h5py v3.1.0 | |
| 2022-06-01T11:33:56-0400 [INFO ] dandi 59646:8602854912 sys.argv = ['/Users/bendichter/opt/miniconda3/bin/dandi', 'download', 'https://dandiarchive.org/dandisets/000053/versions/draft/assets/?path=sub-npJ3/ |
| # first run: | |
| # | |
| #!git log --all --numstat --pretty=format:'--%h--%ad--%aN' --no-renames > git.log | |
| import datetime | |
| import matplotlib.pyplot as plt | |
| import pandas as pd | |
| from pprint import pprint | |
| import matplotlib.ticker |
| from itertools import chain, repeat | |
| from bisect import bisect_left | |
| from datetime import datetime, timedelta | |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| data = [ | |
| { |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| from typing import List, Optional | |
| def grouped_barplot( | |
| data, | |
| clabels: List[str], | |
| xlabels: List[str], |
| from typing import Tuple, Type, Any, Union, Optional | |
| from pydantic import BaseModel | |
| import numpy as np | |
| def get_shape(data): | |
| """ | |
| Get the shape of various data structures: NumPy array, h5py dataset, Zarr dataset, or a nested list of arbitrary depth. | |
| Parameters |
| import numpy as np | |
| import json | |
| import base64 | |
| def _add_dataset_to_rfs( | |
| rfs: dict, | |
| shape: list[int], | |
| dtype: np.dtype, | |
| dset_name: str, |
| # analyze data from https://dandiarchive.org/dandiset/001753/0.260220.1838 | |
| """Visualize intracellular electrophysiology data from an NWB file.""" | |
| import h5py | |
| import numpy as np | |
| import matplotlib | |
| matplotlib.use("Agg") | |
| import matplotlib.pyplot as plt | |
| from matplotlib import cm |
These scripts record the output of rastermap's sorting and compare it across two
commits. They accompany a change to rastermap/sort.py that speeds up the
travelling salesman sort, and they support the claim that the output is
bit-identical rather than approximately equal.
The comparison needs a recording from each commit:
