The HuggingFace (HUGGING_FACE_HUB_TOKEN) secret is not rendered for GPU jobs submitted via Quasar. The CPU consul-template file (.env-ml-base.ctmpl) includes both QUARRY_AUTH_TOKEN and HUGGING_FACE_HUB_TOKEN, but the GPU file (.env-ml-base-gpu.ctmpl) only had QUARRY_AUTH_TOKEN. Additionally, the slack-kuberay-client library only injected the quarry OIDC token dynamically, missing the HF token entirely.
Two separate gaps:
This is an OpenPGP proof that connects my OpenPGP key to this Github account. For details check out https://docs.keyoxide.org/advanced/openpgp-proofs/
[Verifying my OpenPGP key: openpgp4fpr:7da9e9a072c26132aa390c493320a1a6d033a8cb]
I hereby claim:
To claim this, I am signing this object:
| #!/usr/bin/env python3 | |
| import sys | |
| if __name__ == "__main__": | |
| print("Inside a python process!") | |
| print("Reading from stdin... (e.g. a chunk)") | |
| print("="*70) | |
| print(sys.stdin.readline()) | |
| print("="*70) | |
| print("Exiting now from python!") |
| import osproc, logging, strutils, strformat | |
| const defaultLog = "/tmp/nim-entrypoint.log" | |
| when isMainModule: | |
| addHandler(newFileLogger(defaultLog, fmtStr = verboseFmtStr)) | |
| info("Inside a nim process!") | |
| let | |
| programPath = "/opt/python/bin/python" | |
| filePath = "reflector.py" |
| package main | |
| import ( | |
| "io" | |
| "log" | |
| "os" | |
| "os/exec" | |
| "sync" | |
| ) |
| import times, sequtils, math, algorithm, strformat | |
| proc ones(n: int): seq = | |
| ## Helper to make a sequence of ones | |
| result = newSeq[int](n) | |
| result.fill(1) | |
| proc prefixSumWithPipes(p: seq): seq {.noInit.} = | |
| result = p | |
| var last = p |
| ,State,Account Length,Area Code,Phone,Int'l Plan,VMail Plan,VMail Message,Day Mins,Day Calls,Day Charge,Eve Mins,Eve Calls,Eve Charge,Night Mins,Night Calls,Night Charge,Intl Mins,Intl Calls,Intl Charge,CustServ Calls,Churn? | |
| 0,,,,,,,,,,,,,,,,,,,,, | |
| 1,OH,107.0,415.0,371-7191,no,yes,26.0,161.6,123.0,27.47,195.5,103.0,16.62,254.4,103.0,11.45,13.7,3.0,3.7,1.0,False. | |
| 2,NJ,137.0,415.0,358-1921,no,no,0.0,243.4,114.0,41.38,121.2,110.0,10.3,162.6,104.0,7.32,12.2,5.0,3.29,0.0,False. | |
| 3,OH,84.0,408.0,375-9999,yes,no,0.0,299.4,71.0,50.9,61.9,88.0,5.26,196.9,89.0,8.86,6.6,7.0,1.78,2.0,False. | |
| 4,OK,75.0,415.0,330-6626,yes,no,0.0,166.7,113.0,28.34,148.3,122.0,12.61,186.9,121.0,8.41,10.1,3.0,2.73,3.0,False. | |
| 5,AL,118.0,510.0,391-8027,yes,no,0.0,223.4,98.0,37.98,220.6,101.0,18.75,203.9,118.0,9.18,6.3,6.0,1.7,0.0,False. | |
| 6,MA,121.0,510.0,355-9993,no,yes,24.0,218.2,88.0,37.09,348.5,108.0,29.62,212.6,118.0,9.57,7.5,7.0,2.03,3.0,False. | |
| 7,MO,147.0,415.0,329-9001,yes,no,0.0,157.0,79.0,26.69,103.1,94.0,8.76,211.8,96.0,9.53,7.1,6.0,1.92,0 |
| # splunk search -> data -> topic Modeling | |
| # xander johnson | |
| from __future__ import division # python 2, so old school | |
| # Splunk SDK | |
| import splunklib.client as client | |
| import splunklib.results as results | |
| import numpy as np |