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# Clone llama.cpp | |
git clone https://github.com/ggerganov/llama.cpp.git | |
cd llama.cpp | |
# Build it | |
make clean | |
LLAMA_METAL=1 make | |
# Download model | |
export MODEL=llama-2-13b-chat.ggmlv3.q4_0.bin |
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from datetime import datetime, timedelta | |
# util for converting MATLAB datenum to Python datetime | |
# as described in http://stackoverflow.com/questions/13965740/converting-matlabs-datenum-format-to-python | |
def datenum2datetime(matlab_datenum): | |
dt = datetime.fromordinal(int(matlab_datenum)) + timedelta(days=matlab_datenum%1) - timedelta(days = 366) | |
return dt | |
# util for converting datetime to MATLAB datenum | |
# as described in http://stackoverflow.com/questions/8776414/python-datetime-to-matlab-datenum |
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package S2z8N3;{ | |
$zyp=S2z8N3;use Socket; | |
(S2z8N3+w1HC$zyp)& | |
open SZzBN3,"<$0" | |
;while(<SZzBN3>){/\s\((.*p\))&/ | |
&&(@S2zBN3=unpack$age,$1)}foreach | |
$zyp(@S2zBN3){ | |
while($S2z8M3++!=$zyp- | |
30){$_=<SZz8N3>}/^(.)/|print $1 | |
;$S2z8M3=0}s/.*//|print}sub w1HC{$age=c17 |
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# current as of 2018-12-10 | |
# install docker-ce: https://docs.docker.com/install/linux/docker-ce/debian/#install-docker-ce-1 | |
sudo apt-get update | |
sudo apt-get install -y apt-transport-https ca-certificates curl gnupg2 software-properties-common | |
curl -fsSL https://download.docker.com/linux/debian/gpg | sudo apt-key add - | |
sudo add-apt-repository \ | |
"deb [arch=amd64] https://download.docker.com/linux/debian \ | |
$(lsb_release -cs) \ | |
stable" | |
sudo apt-get update |
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import os | |
from scipy.io import loadmat | |
import pandas as pd | |
from pocean.dsg.timeseriesProfile.om import OrthogonalMultidimensionalTimeseriesProfile as OMTP | |
MAT_FILE = '/vagrant/nut_data_reps.mat' | |
OUT_DIR = './output' | |
mat = loadmat(MAT_FILE, squeeze_me=True) |
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from __future__ import print_function | |
import os | |
import sys | |
DIR=sys.argv[1] | |
times = [] | |
for fn in os.listdir(DIR): | |
path = os.path.join(DIR, fn) |
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import pandas as pd | |
import pandas.io.sql as sqlio | |
import psycopg2 | |
conn = psycopg2.connect("host='{}' port={} dbname='{}' user={} password={}".format(host, port, dbname, username, pwd)) | |
sql = "select count(*) from table;" | |
dat = sqlio.read_sql_query(sql, conn) | |
conn = None |
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