Kvieta1990

{
	"added_words":
	[
		"Sep",
		"expt",
		"fqnintervals",
		"chicollection",
		"f90",
		"exe",
		"cd",

Kvieta1990

https://www.dropbox.com/scl/fi/lh5j8z1amxk8bnppe7t6y/nvim.zip?rlkey=r59tazlmf1yzwbwn4xc4wsqrc&dl=0

Kvieta1990

# : << EOF
# https://github.com/gpakosz/.tmux
# (‑●‑●)> dual licensed under the WTFPL v2 license and the MIT license,
#         without any warranty.
#         Copyright 2012— Gregory Pakosz (@gpakosz).
# /!\ do not edit this file
#     instead, override settings in ~/.tmux.conf.local, see README.md


# -- general -------------------------------------------------------------------

Kvieta1990

user nginx;
worker_processes auto;
error_log /var/log/nginx/error.log;
pid /run/nginx.pid;

include /usr/share/nginx/modules/*.conf;

events {
    worker_connections 1024;
}

Kvieta1990

map $http_upgrade $connection_upgrade {
        default upgrade;
        '' close;
}

server {
	listen 80;
    server_name _;
    return 301 https://orc-iris.ornl.gov$request_uri;
}

Kvieta1990

What is a kernel?

The kernel lets you run code in a particular programming language using one of the Jupyter tools, such as the Notebook, Jupyterlab or nteract. Installing additional kernels will let you run code in more languages using your existing jupyter installation.

Technically, the kernel is an application which speaks the Jupyter Messaging Protocol, to receive code input from the frontend and respond with the results.

Which kernels do I have installed?

In the Notebook or JupyterLab, the list of available kernels will be shown when trying to create a new notebook.

Kvieta1990

output_dir = "."

for i in range(mtd[ws + '_filtered'].getNumberOfEntries()):
    time_stamp = i * int(time_interval)
    time_stamp = f"{time_stamp}"
    file_out = os.path.join(output_dir, str(run) + "_" + time_stamp + ".xye")
    wks_to_output = title + str(i + 1)
    SaveFocusedXYE(InputWorkspace=wks_to_output,
                   Filename=file_out)

Kvieta1990

# >>>>> Confirm data availability >>>>>>>>>>>>>>>>
directory = os.path.join("/SNS/PG3/", ipts, "shared/autoreduce/reduction_log/")

if os.path.isdir(directory):
    all_list = []
    failure_list = []
    
    for filename_check in os.listdir(directory):
        if ".err" in filename_check:
            if os.stat(os.path.join(directory, filename_check)).st_size != 0:

Kvieta1990

# Automatically mount Windows drive when the distribution is launched
[automount]

# Set to true will automount fixed drives (C:/ or D:/) with DrvFs under the root directory set above. Set to false means drives won't be mounted automatically, but need to be mounted manually or with fstab.
enabled = true

# Sets the directory where fixed drives will be automatically mounted. This example changes the mount location, so your C-drive would be /c, rather than the default /mnt/c.
# root = /

# DrvFs-specific options can be specified.

Kvieta1990

{
 "argv": [
  "C:\\windows\\system32\\wsl.exe",
  "-d",
  "Ubuntu",
  "/home/yuanpeng/anaconda3/envs/py37/bin/python",
  "-m",
  "ipykernel_launcher",
  "-f",
  "$(wslpath -a '{connection_file}')"