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import typing as t | |
from fastapi import Depends, FastAPI, Header, HTTPException | |
from fastapi.security.http import HTTPAuthorizationCredentials, HTTPBearer | |
from pydantic import BaseModel | |
from starlette import status | |
app = FastAPI() | |
# Placeholder for a database containing valid token values |
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function tssh --description="SSH to a machine using its Tailscale IP." --argument-names=target_host | |
# Find the `tailscale` executable | |
set cmd '/Applications/Tailscale.app/Contents/MacOS/Tailscale' | |
if not test -x $cmd | |
set cmd (which tailscale) | |
if test $status != 0 | |
set_color red | |
printf "ERROR " | |
set_color normal | |
echo "Could not find Tailscale binary" >&2 |
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"""Token bucket algorithm implementation and example application/consumer.""" | |
import argparse | |
import asyncio | |
import datetime | |
import random | |
from loguru import logger | |
class TokenBucket: |
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#!/bin/bash | |
# Run commands in the Docker container with a particular UID and GID. | |
# The idea is to run the container like | |
# docker run -i \ | |
# -v `pwd`:/work \ | |
# -e LOCAL_USER_ID=`id -u $USER` \ | |
# -e LOCAL_GROUP_ID=`id -g $USER` \ | |
# image-name bash | |
# where the -e flags pass the env vars to the container, which are read by this script. | |
# By setting copying this script to the container and setting it to the |
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import pika | |
#: Name of the Celery events exchange | |
EXCHANGE_NAME = "celeryev" | |
#: Arbitrary name for the transient queue this script will create and consume from | |
QUEUE_NAME = "pikatest" | |
#: Global to hold our channel object in | |
channel = None | |
# Step #2 |
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from datetime import datetime | |
from flask import Flask, session, redirect | |
from flask_sso import SSO | |
def get_user_session_info(key): | |
return session['user'].get( | |
key, | |
'Key `{0}` not found in user session info'.format(key) |
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# Apache server configuration for ssotutorial. | |
# This sets up a Flask application over SSL with CERN SSO authentication via | |
# Shibboleth. | |
# Load the SSL and Shibboleth modules | |
LoadModule ssl_module modules/mod_ssl.so | |
LoadModule mod_shib /usr/lib64/shibboleth/mod_shib_22.so | |
# Disable TRACE HTTP requests on CERN advice | |
TraceEnable Off |
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import ROOT | |
# Replace with location to your favourite ntuple | |
f = ROOT.TFile(( | |
'/Users/apearce/Physics/Data/CharmProduction2010/Reprocessed' | |
'/DVntuple.2010.12.MagUp.root' | |
), 'read') | |
t = f.Get('TupleD0Tohh/DecayTree') | |
h1 = ROOT.TH1F('h1', 'h1', 170, 1780, 1950) | |
h2 = ROOT.TH1F('h2', 'h2', 170, 1780, 1950) |
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import ROOT as R | |
from ROOT import RooFit as RF | |
# 'Unblind' or 'Blind' | |
# BLINDING = 'Blind' | |
BLINDING = 'Unblind' | |
BLIND_STR = '6LJgnoyA4Zr95gec' | |
def roovar_value(rv): | |
'''Return a pretty-printed central value and uncertainty of rv. |
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import numpy as np | |
from matplotlib import pyplot as plt | |
fig = plt.figure(figsize=(5, 4)) | |
# Generate some data | |
mu, sigma = 1e7, 1e6 | |
s = np.random.normal(mu, sigma, 10000) | |
# Plot it | |
plt.hist(s, 30, histtype='step') | |
# Format it |
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