kervel

import os
import sys
import yaml
from pathlib import Path

def load_yaml_file(filepath):
    with open(filepath, 'r') as file:
        return yaml.safe_load(file)

def save_yaml_file(data, filepath):

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from __future__ import annotations
from datetime import datetime, date
from enum import Enum
from typing import List, Dict, Optional, Any, Union
from pydantic import BaseModel as BaseModel, Field
from linkml_runtime.linkml_model import Decimal

metamodel_version = "None"
version = "None"

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"""
Script that executes the first stage of the pipeline for VOC data (filtering)
"""
import argparse
import xml.etree.ElementTree as ET
import os

import random

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prototype airflow DAG operator

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def make_box_layout():
     return widgets.Layout(
        border='solid 1px black',
        margin='0px 10px 10px 0px',
        padding='5px 5px 5px 5px'
     )
 
class Sines(widgets.HBox):
     
    def __init__(self):

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controls = widgets.VBox([int_slider, color_picker, text_xlabel, text_ylabel])
widgets.HBox([controls, output])

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output

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# create some control elements
int_slider = widgets.IntSlider(value=1, min=0, max=10, step=1, description='freq')
color_picker = widgets.ColorPicker(value=initial_color, description='pick a color')
text_xlabel = widgets.Text(value='', description='xlabel', continuous_update=False)
text_ylabel = widgets.Text(value='', description='ylabel', continuous_update=False)
 
# callback functions
def update(change):
    """redraw line (update plot)"""
    line.set_ydata(np.sin(change.new * x))

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output = widgets.Output()
 
# create some x data
x = np.linspace(0, 2 * np.pi, 100)
 
# default line color
initial_color = '#FF00DD'
 
with output:
    fig, ax = plt.subplots(constrained_layout=True, figsize=(6, 4))

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def make_box_layout():
     return widgets.Layout(
        border='solid 1px red',
        margin='0px 10px 10px 0px',
        padding='5px 5px 5px 5px'
     )
     
vbox1, vbox2 = make_boxes()
 
vbox1.layout = make_box_layout()