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# ~/.config/aerospace/aerospace.toml
# Place a copy of this config to ~/.aerospace.toml
# After that, you can edit ~/.aerospace.toml to your liking

# You can use it to add commands that run after login to macOS user session.
# 'start-at-login' needs to be 'true' for 'after-login-command' to work
# Available commands: https://nikitabobko.github.io/AeroSpace/commands
after-login-command = []

# You can use it to add commands that run after AeroSpace startup.

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import numpy as np
import time
import zmq

def gen():
    min_value = 0
    max_value = 2000
    normal_dy = 10
    

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import altair as alt
import streamlit as st
import pandas as pd
import numpy as np
import time


window_size = 10000

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import pathlib
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt


file_name = pathlib.Path("generated.csv")


def generate(min_value: float, max_value: float, normal_dy: float, num_timesteps, axis) -> None:

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sequenceDiagram
    title: Telemetry Collector Sequence Diagram
    %%Driver->>Experiment: create experiment
    %%Experiment->>Controller: create controller
    %%Controller->>JobManager: create job manager
    %%Controller->>Launcher: create Launcher
    %%JobManager->>TaskManager: create task manager
    %%Controller->>TelemetryMonitor: create telemetry monitor
    %%TelemetryMonitor->>CollectorManager: create collector manager
    %%TelemetryMonitor->>FileWatcher: create file watcher

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%% https://mermaid.live/edit#pako:eNqlVd9r2zAQ_leEIJD-cGGvJuShzQobzQZLn4bBXORLKmKfjKQMQpf87ZMs25GXbE2pXyzdffru00l3euVCFchTLkowZiZhraHKaDRihdQorFTE7p8zelBl6aZKsyT5PWU_sJCmt2U0nLO7O4eZLedYKb17E_agiEKoCPoXag4EayyewWwi0ELSJvgfZYl-ltFJlIx_yji7TpJ21LjjAMGsesBXtfxMVtpdBArxh2TXbnRWcQBNesIgbDQiZZGtHCCG3oNBJsmiXoEIbihLJjqIyfhg7cnuGoLm-I5-9l2LFzRWg8cMuTIK4AB8zYi570bVSOMr9k0RtpY12rzCyliwxnlmUtjDwmpJ60OEEKVEsqU09gSz7yL1Ce2CBQgjqHBose58c1kMjcZi3RgdoV9iap-oOTqvMHnDLLHfSQjZ3IzW4r_JpE_xdHo03xj4hWPQa8NS9uQ2cXA5O8Rp2Mes3S2Lmd9JcXKjIqqkyV-POOTRwfWgKHIFdQQZoxPQp_oqaDmSRetqjTVoHBx342jJxm-rvyC3SY6NklhV7DU-kSnrqva_Iv4pe6BuWBoDhbD0xSDs4PBDBbgUdv3nbJZFqQxepuayJJ40xvgK5BcsP9Mw30dxrptGDK77J23t5SVsybUSndtdHe0yeWrtR0SswHeGpmy3dQHWJ2nhZl9opT5w0Ht_Tfgtr1BXIAv3aDWaM25f0DUSnrphAXrjm9ze4WBr1WJHgqdWb_GWBy3tG8fTFZTGWWugn0od5-5O-OpsX0X_2_8BWRxPSw
classDiagram
%% direction BT
Collector --|> RedisCollector
RedisCollector ..|> DbMemoryCollector
RedisCollector ..|> DbConnectionCollector
Collector ..|> ManagedTaskCollector
Sink ..|> FileSink

RedisCol

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import contextvars
import logging
import multiprocessing as mp
import sys
import threading
import typing as t


logging.basicConfig(stream=sys.stdout, 
                    format="%(asctime)s [%(process)d::%(thread)d] %(levelname)s %(name)s %(message)s",