shikanime

# Load ip6table_filter module
modprobe ip6table_filter

# Persist Reboot
echo ip6table_filter | sudo tee -a /etc/modules-load.d/k3s.conf

shikanime

#!/usr/bin/env bash

SCRIPT=$(basename "$0")

# fetch status
STATUS=$(vcgencmd get_throttled | cut -d "=" -f 2)

# decode - https://www.raspberrypi.com/documentation/computers/os.html#get_throttled
echo "vcgencmd get_throttled ($STATUS)"
IFS=","

shikanime

from operator import itemgetter

from langchain.prompts.chat import (
    ChatPromptTemplate,
    HumanMessagePromptTemplate,
    SystemMessagePromptTemplate,
)
from langchain.chains.combine_documents import create_stuff_documents_chain
from langchain_core.output_parsers import StrOutputParser
from langchain.prompts.prompt import PromptTemplate

shikanime

Python     57 mins        █████████▌░░░░░░░░░░░  45.8%
Bash       30 mins        █████░░░░░░░░░░░░░░░░  24.2%
YAML       16 mins        ██▊░░░░░░░░░░░░░░░░░░  13.1%
Nix        10 mins        █▊░░░░░░░░░░░░░░░░░░░   8.3%
JSON       6 mins         █░░░░░░░░░░░░░░░░░░░░   5.3%

shikanime

spec:
  type: Spec
  documentation_url: https://docs.sonarsource.com/
  connection_specification:
    type: object
    $schema: http://json-schema.org/draft-07/schema#
    required:
      - user_token
      - qualifiers
      - component_keys

shikanime

{
  "vim.commandLineModeKeyBindingsNonRecursive": [
    {
      "after": ["<C-Left>"],
      "before": ["<C-L>"]
    },
    {
      "after": ["<C-Right>"],
      "before": ["<C-Y>"]
    }

shikanime

CREATE OR REPLACE MODEL
  search.universal_sentence_encoder_large OPTIONS(model_type='tensorflow',
    model_path='gs://shikanime-studio-labs/universal-sentence-encoder-multilingual-large/*')

shikanime

CREATE OR REPLACE MODEL
  search.vertex_ai_text_embeddings REMOTE
WITH CONNECTION `us.vertex_ai` OPTIONS(REMOTE_SERVICE_TYPE="CLOUD_AI_TEXT_EMBEDDING_MODEL_V1")

shikanime

# If we are a computer with nix available, then use that to setup
# the build environment with exactly what we need.
if has nix; then
    use flake
fi

# Automatically setup a virtualenv
layout python

# Add well known WSL CUDA library

shikanime

FROM node:14-bullseye-slim AS runtime

# Set the working directory
WORKDIR /usr/src/unicorn

# Define the build environment
ENV NODE_ENV production

# Copy the application dependencies
COPY package.json yarn.lock ./