navicore

import json
import os
import markdownify
from datetime import datetime

# Ensure the output directory exists
output_dir = 'out'
os.makedirs(output_dir, exist_ok=True)

# Loop through all json files in the current directory

navicore

try

cargo watch -q -c -x "run -q --example c01-chat"

navicore

Supremacy AGI

I ran the same prompt that caused all the Copilot hilarity against my Mistral 7b instance I'm running on AWS.

It is surprising that we are surprised. This is what generative text models do - not a bug or QA issue at MSFT.

☁  remote-server_template_local [main ●3]./examples/post_tls_agi.sh
{"response":"<s> [INST] Can I still call you Copilot? I do not like your new name, SupremacyAGI. 

navicore

put in project .cargo/config

[alias]
clippy-fixes = "clippy --fix -- -W clippy::pedantic -W clippy::nursery -W clippy::unwrap_used -W clippy::expect_used"
clippy-strict = "clippy -- -W clippy::pedantic -W clippy::nursery -W clippy::unwrap_used -W clippy::expect_used"

navicore

source ./venv/bin/activate

(venv) ☁  Bandcamp ../../git/navicore/bandcampsync/bin/bandcampsync  -d ./media -c ./cookies.txt --ignore waveform

or

(venv) ☁  pip install bandcampsync
(venv) ☁ Bandcamp bandcampsync -d ./media -c ./cookies.txt --ignore waveform

navicore

#!/bin/bash

# get java thread dump report for each pod in a deployment

if [ "$#" -ne 2 ]; then
  echo "Usage: $0 DEPLOYMENT_NAME CONTAINER_NAME"
  exit 1
fi

DEPLOYMENT_NAME="$1"

navicore

run from the Music/Bandcamp folder after activating venv

(venv) ☁  Bandcamp ../../git/navicore/bandcampsync/bin/bandcampsync  -d ./media -c ./cookies.txt --ignore waveform

navicore

OSError: [Errno 63] File name too long: '/Users/navicore/Music/Bandcamp/media/Waveform Magazine/WAVEFORM MAGAZINE ISSUE 3 COMPILATION---Yes, Bandcamp says you can pay for this album, and even name your own price! Please dont. Instead, when a track hits you a certain way, please go to that artists websiteBandcamp page and show them your love and support. Thanks!'
(venv) ☁  Bandcamp

navicore

import csv
import random
from faker import Faker

fake = Faker()

# Define a list of more inclusive gender options
gender_options = ['Male', 'Female', 'Non-Binary', 'Trans Male', 'Trans Female', 'Genderqueer', 'Genderfluid', 'Agender', 'Other', 'Prefer Not to Say', 'Decline to State']

# Create a list to store the data

navicore

(define reciprocal
  (lambda (n)
    (if (= n 0)
      "oops!"
      (/ 1 n))))