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"""
ReAct agent example

Adapted from: https://langchain-ai.github.io/langgraph/how-tos/tool-calling/
"""
from langchain_core.tools import tool
from langgraph.prebuilt import ToolNode
from langgraph.graph import StateGraph, MessagesState
from langgraph.prebuilt import ToolNode
from langgraph.graph import StateGraph, MessagesState, START, END

tkarna

Compile ollama in Ubuntu 22.04:

# Install and activate oneapi
sudo apt install intel-basekit
source /opt/intel/oneapi/setvars.sh

# You may need to install other build dependencies ...
# sudo apt install apt-utils

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tkarna

"""
Example adapted from https://github.com/aamini/introtodeeplearning lab2 part2

© MIT Introduction to Deep Learning
http://introtodeeplearning.com
"""
import tensorflow as tf
import matplotlib.pyplot as plt
import functools
import numpy as np

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"""
Simple Gantt chart implementation
"""
from datetime import datetime as dt
import matplotlib
import matplotlib.pyplot as plt
from matplotlib.dates import date2num
import matplotlib.dates as mdates
import numpy

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#!/bin/bash
# generate mp4 animation from still images with ffmpeg.

if [ $# != 2 ]; then
    echo "Usage: $(basename "$0") \"image/file/pattern_*.png\" output.mp4"
    exit -1
fi

pattern=$1
outputfile=$2

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#!/bin/bash

# loop through days of month given the first day

startdate="2019-06-01"
enddate=$(date -d "$startdate + 1 month" +"%Y-%m-%d")

ndays=$(( ($(date -d "$enddate" +%s) - $(date -d "$startdate" +%s) )/(60*60*24) ))

for i in $(seq 0 $(($ndays - 1)) ); do

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"""
Python argparse example demonstrating the most common usage options.
"""
import argparse

parser = argparse.ArgumentParser(
    description='Description of the routine',
    # includes default values in help entries
    formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)

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#!/bin/bash
# Install SLIM on rigilk cluster

source ~/bin/activate_gcc6.4
source ~/bin/activate_cmake-3.11.4
source ~/bin/activate_openmpi.sh

export BASEDIR=/home/karnat/sources/slim/install-script

mkdir -p $BASEDIR

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from thetis import *

"""
Computes a "strong" vertical integral of a field with pyop2
by integrating along the vertical 1D edges of the prism.
"""


def strong_integral_2d(source, output_2d, z_coords):
    """Computes strong integral of a P1DGxP1DG field onto P1DG 2D field"""