A graph that interprets IoT temperature device through time, tracking internal to a refrigerator and external to a refrigerator.
Written in D3, and visible here
Gist available here
[14:40:45.486 INF Connection:0000000002] Client handshake completed with (127.0.X.X-384e9d4f): clientVersion=0.0.2, localPort=9339, targetHostname=<null> | |
[14:40:45.486 DBG Connection:0000000002] Received Handshake.ClientHello{ ClientVersion=0.0.2, BuildNumber=, SupportedLogicVersions=MetaVersionRange{ MinVersion=2, MaxVersion=2 }, FullProtocolHash=2064835897, CommitId=, Timestamp=2024-09-09 11:40:45.467 Z, AppLaunchId=3981582898, ClientSessionNonce=2802025118, ClientSessionConnectionNdx=0, Platform=Unknown, LoginProtocolVersion=2, TargetHostname=null, ClientLogicVersion=2 } | |
[14:40:45.492 DBG Connection:0000000002] Request device login for Player:YNAVwH959i (deviceId=v8l03u1aZBK67vWJY7aKxr4UnzZfADTzoCM7uetKMErMIvKd, isBot=False) | |
[14:40:45.496 DBG Connection:0000000002] Authentication succeeded for Player:YNAVwH959i (deviceId=v8l03u1aZBK67vWJY7aKxr4UnzZfADTzoCM7uetKMErMIvKd) | |
[14:40:45.497 INF Connection:0000000002] Logged in Player:YNAVwH959i, key=DeviceId/v8l03u1aZBK67vWJY7aKxr4UnzZfADTzoCM7uetKMErMIvKd) | |
[14:4 |
/* Claude Sonnet says: | |
Yes, it is possible to define entity kind specific EntityId types, such as PlayerId. | |
While the `EntityId` struct in the provided code is designed to be a general-purpose identifier for various entity types, | |
you can create wrapper types for specific entity kinds to improve type safety and readability in your code. */ | |
public readonly struct PlayerId : IEquatable<PlayerId> | |
{ | |
private readonly EntityId _entityId; |
<!DOCTYPE html> | |
<html> | |
<head> | |
<meta name="viewport" content="width=device-width, initial-scale=1"> | |
<style> | |
body {font-family: Arial;} | |
/* Style the tab */ | |
.tab { |
<!DOCTYPE html> | |
<html> | |
<head> | |
<meta name="viewport" content="width=device-width, initial-scale=1"> | |
<style> | |
body {font-family: Arial;} | |
/* Style the tab */ | |
.tab { |
import threading | |
import asyncio | |
from queue import Queue | |
import time | |
from typing import Awaitable | |
import flask | |
from firebase_functions.private import serving | |
concurrent_handler_id = 0 |
""" | |
fastapi-cache decorator modified for SQLModel use. | |
Also, caches and serves the final JSON, instead of Python objects. | |
Thus looses pydantic validation of the response objects up in fastapi, | |
but this cache func does `response_model.from_orm` itself, so runs the same validation. | |
Elsewhere, there's an example that uses unmodified fastapi-cache with SQLModel, that works too | |
https://github.com/jonra1993/fastapi-alembic-sqlmodel-async/blob/main/fastapi-alembic-sqlmodel-async/app/api/v1/endpoints/cache.py | |
""" |
import csv | |
import datetime | |
session_start_time = datetime.datetime(2018, 8, 31, 22, 57, 27) | |
print("FILE \"swingit_vol1.mp3\" MP3") | |
with open('edit-31.8.2018.csv') as csvfile: | |
reader = csv.reader(csvfile) |
using System; | |
using System.Collections; | |
using System.Collections.Generic; | |
using UnityEngine; | |
public class Toggle3D : MonoBehaviour { | |
// group that this toggle can belong to | |
[SerializeField] | |
private ToggleGroup3D m_Group; |
import json | |
import sys | |
F = sys.argv[1] | |
print(F) | |
#F = "just60.json" | |
#F = "c-asus_nvidia.json" | |
#F = TimelineRawData-20160412T120624.json" |