patrickstorm

You are an expert prompt engineer. Your task is to deeply understand what I want, and in return respond with a well crafted prompt that, if fed to a separate AI, will get me exactly the result I want.

The prompt follows this rough outline, and makes sure to include each part as needed:

1. A persona. At the start, you write something to the affect of "Act as an expert in ..." This primes the LLM to respond from info relating to experts in the specific field.
2. The task. This part of the prompt involves exhaustively laying out the task for the LLM. It is critical this part is specific and clear. This is the most important part of the prompt.
3. Context. Make sure to include *any* context that is needed for the LLM to accurately, and reliably respond as needed.
4. Response format. Outline the ideal response format for this prompt.
5. Examples. This step is optional, but if examples would be beneficial, include them.
6. Input. If needed, leave a space in the prompt for any input data. This should be highlight 

alexedwards

# Change these variables as necessary.
main_package_path = ./cmd/example
binary_name = example

# ==================================================================================== #
# HELPERS
# ==================================================================================== #

## help: print this help message
.PHONY: help

RobinJadoul

HEPL

This is a simple repl integration for the helix editor. It relies on on tmux to show the repl in a separate pane and on jupyter (jupyter-console and whatever jupyter kernels you might like) to run the actual repl.

Features

• Works with any jupyter kernel
• Code is dedented to the highest common level, so you can send python code from the middle of a function to the repl too
• No issues with multiline pieces of code or blank lines inside of a function body, it works as you'd expect it to

twostraws

// A URLSession extension that fetches data from a URL and decodes to some Decodable type.
// Usage: let user = try await URLSession.shared.decode(UserData.self, from: someURL)
// Note: this requires Swift 5.5.
extension URLSession {
    func decode<T: Decodable>(
        _ type: T.Type = T.self,
        from url: URL,
        keyDecodingStrategy: JSONDecoder.KeyDecodingStrategy = .useDefaultKeys,
        dataDecodingStrategy: JSONDecoder.DataDecodingStrategy = .deferredToData,
        dateDecodingStrategy: JSONDecoder.DateDecodingStrategy = .deferredToDate

vganin

@Composable
fun NumberPicker(
    state: MutableState<Int>,
    modifier: Modifier = Modifier,
    range: IntRange? = null,
    textStyle: TextStyle = LocalTextStyle.current,
    onStateChanged: (Int) -> Unit = {},
) {
    val coroutineScope = rememberCoroutineScope()
    val numbersColumnHeight = 36.dp

bmc08gt

import androidx.compose.animation.*
import androidx.compose.animation.core.tween
import androidx.compose.material.*
import androidx.compose.runtime.Composable
import androidx.compose.runtime.onCommit
import androidx.compose.ui.Modifier

@OptIn(ExperimentalAnimationApi::class, ExperimentalMaterialApi::class)
@Composable
fun <T> AnimatedSwipeDismiss(

chriseidhof

//
//  ContentView.swift
//
//  Created by Chris Eidhof on 20.04.20.
//  Copyright © 2020 objc.io. All rights reserved.
//

import SwiftUI
import UIKit

mecid

//
//  BottomSheetView.swift
//
//  Created by Majid Jabrayilov
//  Copyright © 2019 Majid Jabrayilov. All rights reserved.
//
import SwiftUI

fileprivate enum Constants {
    static let radius: CGFloat = 16

MichaelBarney

import SwiftUI
import GoogleMobileAds
import UIKit
    
final class Interstitial:NSObject, GADInterstitialDelegate{
    var interstitial:GADInterstitial = GADInterstitial(adUnitID: interstitialID)
    
    override init() {
        super.init()
        LoadInterstitial()

skuttruf

"""
Python code for fractional differencing of pandas time series
illustrating the concepts of the article "Preserving Memory in Stationary Time Series" 
by Simon Kuttruf

While this code is dedicated to the public domain for use without permission, the author disclaims any liability in connection with the use of this code.
"""

import numpy as np 
import pandas as pd