Nissan Pow npow

LIBERO Python 3.11 validation helpers

Context:

Upstream PR: Lifelong-Robot-Learning/LIBERO#143
Minimal PR commit after cleanup: b03bee8

Validation result:

Clean Python 3.11 environment installed requirements.txt.
Editable install completed with pip install -e . --no-deps.
pip check passed.

name: Git Workflow Assistant description: Streamline your Git workflow with AI-powered commit messages, branch management, and repository insights homepage: https://github.com/devtools/git-workflow-assistant user-invocable: true disable-model-invocation: false metadata: openclaw: requires: node: ">=16.0.0"

Next Steps

Measure time spend on index, flush, refresh, merge, query, etc. (TD - done)
Take hot threads snapshots under read+write, read-only, write-only (TD - done)
Adjust refresh time to 10s (from 1s) and see how load changes (TD)
Measure time of a rolling restart doing disable_flush and disable_recovery (TD)
Specify routing on query -- make it choose same node for each shard each time (MD)
GC new generation size (TD)
Warmers

measure before/after of client query time with and without warmers (MD)

	ARG FUNCTION_RUNTIME

	FROM mikesir87/aws-cli as code

	ARG FUNCTION_NAME
	ARG AWS_DEFAULT_REGION
	ARG AWS_ACCESS_KEY_ID
	ARG AWS_SECRET_ACCESS_KEY

	RUN wget -O function.zip `aws lambda get-function --function-name $FUNCTION_NAME --query 'Code.Location' --output text`

	import pickle
	import numpy as np
	import multiprocessing as mp

	a = np.array([1,2,3], dtype=np.uint32)
	b = np.array([1,2,3], dtype=np.uint32)
	c = np.array([1,2,3], dtype=np.uint32)
	d = np.array([1,2,3], dtype=np.uint32)

	q = mp.Queue()

	/**
	* Based off of the Lucene prolog parser in the wordnet contrib package within the
	* main Lucene project. It has been modified to remove the Lucene bits and generate
	* a synonyms.txt file suitable for consumption by Solr. The idea was mentioned in
	* a sidebar of the book Solr 1.4 Enterprise Search Server by Eric Pugh.
	*
	* @see <a href="http://lucene.apache.org/java/2_3_2/lucene-sandbox/index.html#WordNet/Synonyms">Lucene Sandbox WordNet page</a>
	* @see <a href="http://svn.apache.org/repos/asf/lucene/dev/trunk/lucene/contrib/wordnet/">SVN Repository of the WordNet contrib</a>
	* @see <a href="https://www.packtpub.com/solr-1-4-enterprise-search-server/book">Solr 1.4 Enterprise Search Server Book</a>
	*/

	def load_bin_vec(fname, vocab):
	"""
	Loads 300x1 word vecs from Google (Mikolov) word2vec
	"""
	word_vecs = {}
	with open(fname, "rb") as f:
	header = f.readline()
	vocab_size, layer1_size = map(int, header.split())
	binary_len = np.dtype('float32').itemsize * layer1_size
	for line in xrange(vocab_size):

	import numpy as np
	import theano
	import theano.tensor as T
	from theano import ifelse
	from .. import init
	from .. import nonlinearities

	from .base import Layer

	#!/bin/sh
	BUCKETNAME=mybucketname; REGION=us-east-1; for prefix in $(aws s3api list-objects --bucket $BUCKETNAME --delimiter '/' --output text --region $REGION \|grep COMMONPREFIX \|tail -n+2\| awk '{print $2}'); do echo "Totals for $prefix"; aws s3 ls --summarize --human-readable --recursive s3://$BUCKETNAME/$prefix --region $REGION ; done \|grep Total