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import requests | |
import subprocess | |
import itkdb | |
fpath = "~/VBFSUSY_13_Higgsino_150.root" | |
eos_path = "/eos/atlas/test/itkpd/d/e/8/debug_ewans_file" | |
data = requests.post(f'https://itkpd2eos.unicornuniversity.net/generate-token?path={eos_path}&permissions=rw') | |
eos_token = data.json()['token'] |
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import itkdb | |
#image = itkdb.data / "1x1.jpg" | |
import pathlib | |
image = pathlib.Path("/Users/kratsg/VBFSUSY_13_Higgsino_150.root") | |
import logging | |
import textwrap | |
logger = logging.getLogger('httplogger') |
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{ | |
"channels": [ | |
{ | |
"name": "electron_channel", | |
"samples": [ | |
{ "name": "main", "data": [ 50, 100 ], | |
"modifiers": [ | |
{ "name": "mu", "type": "normfactor", "data": null }, | |
{ "name": "uncorrelated_el", "type": "normsys", "data": { "hi": 1.1, "lo": 0.9 } }, | |
{ "name": "correlated", "type": "normsys", "data": { "hi": 1.1, "lo": 0.7 } } |
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import numpy as np | |
import onnx | |
import onnxruntime | |
import uproot | |
import h5py | |
import json | |
model="./SimpleAnalysisCodes/data/ThreeBjets_NN_2020_model.onnx" | |
session = onnxruntime.InferenceSession(model, None) |
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import numpy as np | |
import onnx | |
import onnxruntime | |
from onnx import numpy_helper | |
import uproot | |
model="./model.onnx" | |
session = onnxruntime.InferenceSession(model, None) | |
input_name = session.get_inputs()[0].name |
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version: "3.8" | |
services: | |
traefik: | |
restart: always | |
image: "traefik:v2.6" | |
container_name: "traefik" | |
command: | |
- "--providers.docker=true" | |
- "--providers.docker.exposedbydefault=false" |
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Summary | |
------------------ | |
channels 2 | |
samples 1 | |
parameters 42 | |
modifiers 42 | |
channels nbins | |
---------- ----- | |
electron 12 |
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Summary | |
------------------ | |
channels 2 | |
samples 1 | |
parameters 42 | |
modifiers 42 | |
channels nbins | |
---------- ----- | |
electron 12 |
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