darvld

package io.github.darvld.utils

import androidx.compose.animation.*
import androidx.compose.animation.core.ExperimentalTransitionApi
import androidx.compose.animation.core.MutableTransitionState
import androidx.compose.foundation.lazy.LazyListScope
import androidx.compose.foundation.lazy.items
import androidx.compose.runtime.*
import androidx.recyclerview.widget.AsyncListDiffer
import androidx.recyclerview.widget.DiffUtil

darvld

package cu.spin.catalog.ui.components

import android.annotation.SuppressLint
import androidx.compose.animation.core.animateFloat
import androidx.compose.animation.core.updateTransition
import androidx.compose.runtime.State
import androidx.compose.ui.Modifier
import androidx.compose.ui.composed
import androidx.compose.ui.draw.drawWithCache
import androidx.compose.ui.geometry.Offset

darvld

/*
 * Copyright 2020 The Android Open Source Project
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     https://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software

darvld

package io.github.darvld.utils

/**Base class for components representing the result of the user's interaction with a dialog.
 *
 * To trigger the dialog and obtain the result, use [await].
 *
 * Note that, since this class provides no UI implementation, [complete] must be manually called from UI code. This is
 * typically achieved by showing a dialog when [isAwaiting] is `true`, and using a callback to invoke [complete].*/
interface DialogResult<T> {
    /**Whether the dialog is currently pending user interaction.

darvld

# Simple hill-climbing algorithm using the steepest-ascent variant
def perform_step(current: list, goal: list) -> (list, int):
    # Keep track of the best candidate so far (steepest-ascent)
    successor = current
    successor_weight = -1

    for i in range(0, len(current) - 1):
        # Generate a new state and calculate the weight
        candidate = swapped(current, i, i + 1)
        candidate_weight = calculate_weight(candidate, goal)