mypy-play

from __future__ import annotations

from typing import TypeAlias

BaseTy = str | int | float | bool | None
GenericJsonTy: TypeAlias = dict[str, GenericJsonTy] | list[GenericJsonTy] | BaseTy

simple_value: GenericJsonTy = 123

complex_test: GenericJsonTy = {

HugsLibRecordKeeper

Log uploaded on Tuesday, February 11, 2025, 7:28:25 PM
Loaded mods:
Harmony(brrainz.harmony)[mv:2.3.1.0]: 0Harmony(2.3.3), HarmonyMod(2.3.1)
Core(Ludeon.RimWorld): (no assemblies)
Level Up!(Krafs.LevelUp): LevelUp(1.0.0)
HugsLib(UnlimitedHugs.HugsLib)[ov:11.0.4]: 0Harmony(av:2.3.3,fv:1.2.0.1), HugsLib(av:1.0.0,fv:11.0.4)
Damage Indicators [1.5](CaesarV6.DamageIndicators): DamageMotes(1.0.0)
CM Color Coded Mood Bar [1.1+](CrashM.ColorCodedMoodBar.11): 0Harmony(av:2.3.3,fv:2.1.1), 1SettingsHelper(av:1.3.0.36972,fv:1.3.0), CMColoredMoodBar(1.5.4062.1)
Camera+(brrainz.cameraplus)[mv:3.2.0.0]: CameraPlus(3.2.0), CrossPromotion(1.1.2)
Better Pawn Control(VouLT.BetterPawnControl)[ov:2.7.6]: BetterPawnControl(2.7.4)

sunmeat

// dotnet add package Z.Dapper.Plus
// dotnet add package Microsoft.Data.SqlClient
// dotnet add package CsvHelper

using CsvHelper;
using Microsoft.Data.SqlClient;
using Z.Dapper.Plus;
using System.Globalization;
using System.Reflection;
using System.Reflection.Emit;

AG-Monster

// Decompiled with JetBrains decompiler
// Type: CameraTech.ANPRInterface
// Assembly: CameraTech.net, Version=1.6.2.0, Culture=neutral, PublicKeyToken=null
// MVID: 0E43DE49-AB6C-4A45-B57B-72C341AA4463
// Assembly location: C:\Users\AG\Desktop\FIVEM Files\CameraTech\CameraTech.net.dll

using CitizenFX.Core;
using CitizenFX.Core.UI;
using System;
using System.Drawing;

linux-riscv-bot

WARNING: added, moved or deleted file(s), does MAINTAINERS need updating?
#37: 
new file mode 100644

CHECK: Lines should not end with a '('
#77: FILE: arch/riscv/kernel/usercfi.c:36:
+	asm goto(

CHECK: spaces preferred around that '%' (ctx:WxV)
#81: FILE: arch/riscv/kernel/usercfi.c:40:

ehurheap

/* 
  Now that the initial version is done, it’s time to start extending it.
  Product has determined that that our customers want to be able to bucket events together by time.  
  After filtering the events, we would like you to aggregate events that occur in the same timespan. 
  For the purposes of this interview our timestamps will be at day granularity and we will always bucket by day.
  Types:
  type Alert struct {
		alertType  string
		date       string
		totalValue int64

rileyhilliard

# This module demonstrates that it's possible to leverage WebAI to host an LLM chatbot,
# interacting with it via APIs. The code sends a prompt to the LLM and streams back its response.
# In theory, this approach can be extended to programmatically interact with the LLM,
# while using WebAI to orchestrate running the LLM across a cluster of local hardware.
# Demo: https://i.ibb.co/jkNF488Z/Feb-11-2025-12-17-22.gif
import json
import requests
import time

def get_endpoints():

Evert87

import io.micrometer.core.instrument.MeterRegistry
import io.micrometer.core.instrument.Timer
import org.aspectj.lang.ProceedingJoinPoint
import org.aspectj.lang.annotation.Around
import org.aspectj.lang.annotation.Aspect
import org.springframework.stereotype.Component
import kotlin.coroutines.Continuation
import kotlin.coroutines.intrinsics.startCoroutineUninterceptedOrReturn
import kotlin.coroutines.intrinsics.suspendCoroutineUninterceptedOrReturn

Julians42

using Random
using CairoMakie
using QuadGK
using Distributions

function CI(x, p, ci_size)
    """Computes the minimum length confidence interval for a single-peaked posterior distribution"""
    dx = x[2] - x[1]
    median_loc = argmax(p)
    median = x[median_loc] # compute the mode of the distribution - this point will be in the confidence interval

alekszahariev

{
    "url": "https://google.com",
    "name": "ReferrToEarn",
    "iconUrl": "https://files.softicons.com/download/animal-icons/cat-force-icons-by-iconka/ico/cat_upsidedown.ico"
}