issue_comments
1 row where issue = 29453809 and user = 4194485 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- HDF5 backend for xray · 1 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 38004488 | https://github.com/pydata/xarray/issues/66#issuecomment-38004488 | https://api.github.com/repos/pydata/xarray/issues/66 | MDEyOklzc3VlQ29tbWVudDM4MDA0NDg4 | ToddSmall 4194485 | 2014-03-19T00:08:03Z | 2014-03-19T00:08:03Z | NONE | Here's an elementary example of using HDF5 memory images to pass self-describing binary data between processes using pytables: ``` python import numpy as np import os import tables pipe_name = '/tmp/my-pipe' driver = "H5FD_CORE" my_array_name = "My array" my_attribute = "Drummer is cool!" my_title = "My title" def child(): h5_file = tables.open_file("in-memory", title=my_title, mode="w", driver=driver, driver_core_backing_store=0) h5_file.create_array(h5_file.root, "array", np.array([0., -1., 1., -2., 2.]), title=my_array_name) h5_file.root.array.attrs.my_attribute = my_attribute image = h5_file.get_file_image() h5_file.close()
def parent(): pipein = open(pipe_name, 'r') image = pipein.read()
if not os.path.exists(pipe_name): os.mkfifo(pipe_name) pid = os.fork() if pid: parent() else: child() ``` |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
HDF5 backend for xray 29453809 |
Advanced export
JSON shape: default, array, newline-delimited, object
CREATE TABLE [issue_comments] (
[html_url] TEXT,
[issue_url] TEXT,
[id] INTEGER PRIMARY KEY,
[node_id] TEXT,
[user] INTEGER REFERENCES [users]([id]),
[created_at] TEXT,
[updated_at] TEXT,
[author_association] TEXT,
[body] TEXT,
[reactions] TEXT,
[performed_via_github_app] TEXT,
[issue] INTEGER REFERENCES [issues]([id])
);
CREATE INDEX [idx_issue_comments_issue]
ON [issue_comments] ([issue]);
CREATE INDEX [idx_issue_comments_user]
ON [issue_comments] ([user]);
user 1