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# Load ip6table_filter module | |
modprobe ip6table_filter | |
# Persist Reboot | |
echo ip6table_filter | sudo tee -a /etc/modules-load.d/k3s.conf |
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#!/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="," |
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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 |
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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 |
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{ | |
"vim.commandLineModeKeyBindingsNonRecursive": [ | |
{ | |
"after": ["<C-Left>"], | |
"before": ["<C-L>"] | |
}, | |
{ | |
"after": ["<C-Right>"], | |
"before": ["<C-Y>"] | |
} |
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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") |
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CREATE OR REPLACE MODEL | |
search.universal_sentence_encoder_large OPTIONS(model_type='tensorflow', | |
model_path='gs://shikanime-studio-labs/universal-sentence-encoder-multilingual-large/*') |
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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 ./ |
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import tensorflow as tf | |
window_size = 2 | |
label_size = 1 | |
inputs = tf.random.stateless_uniform(shape=(10, 3), seed=(2, 3)) | |
dataset = tf.data.Dataset.from_tensor_slices(inputs) | |
dataset = dataset.window(window_size + label_size, shift=label_size, drop_remainder=True) | |
dataset = dataset.flat_map(lambda window: window.batch(window_size + label_size)) |
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#! /usr/bin/env nix-shell | |
#! nix-shell --pure -i runghc -p "haskellPackages.ghcWithPackages (pkgs: [ pkgs.turtle ])" | |
{-# LANGUAGE OverloadedStrings #-} | |
import Turtle | |
main = sh $ do | |
homedir <- home | |
subdir <- ls $ homedir </> ".vscode-server/bin/" | |
let nodepath = subdir </> "node" |
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