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Aurora | Unified lighting effects across multiple brands | Video Game library

 by   antonpup C# Version: v0.8.1 License: MIT

 by   antonpup C# Version: v0.8.1 License: MIT

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kandi X-RAY | Aurora Summary

Aurora is a C# library typically used in Gaming, Video Game applications. Aurora has no bugs, it has a Permissive License and it has medium support. However Aurora has 2 vulnerabilities. You can download it from GitHub.
Project Aurora is a utility that unifies RGB lighting devices across different brands and enables them to work alongside each other, all while adding and improving RGB lighting support for various games that previous had none or little RGB lighting support. Aurora is mainly written in C#, but has C++ components to implement native support for other games.
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • Aurora has a medium active ecosystem.
  • It has 1586 star(s) with 322 fork(s). There are 79 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 589 open issues and 1276 have been closed. On average issues are closed in 194 days. There are 32 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of Aurora is v0.8.1
Aurora Support
Best in #Video Game
Average in #Video Game
Aurora Support
Best in #Video Game
Average in #Video Game

quality kandi Quality

  • Aurora has 0 bugs and 0 code smells.
Aurora Quality
Best in #Video Game
Average in #Video Game
Aurora Quality
Best in #Video Game
Average in #Video Game

securitySecurity

  • Aurora has 2 vulnerability issues reported (1 critical, 1 high, 0 medium, 0 low).
  • Aurora code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
Aurora Security
Best in #Video Game
Average in #Video Game
Aurora Security
Best in #Video Game
Average in #Video Game

license License

  • Aurora is licensed under the MIT License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
Aurora License
Best in #Video Game
Average in #Video Game
Aurora License
Best in #Video Game
Average in #Video Game

buildReuse

  • Aurora releases are available to install and integrate.
  • Installation instructions are available. Examples and code snippets are not available.
  • Aurora saves you 27 person hours of effort in developing the same functionality from scratch.
  • It has 74 lines of code, 9 functions and 693 files.
  • It has medium code complexity. Code complexity directly impacts maintainability of the code.
Aurora Reuse
Best in #Video Game
Average in #Video Game
Aurora Reuse
Best in #Video Game
Average in #Video Game
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Aurora Key Features

Unified lighting effects across multiple brands and various games.

Webscraping Data : Which Pokemon Can Learn Which Attacks?

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library(rvest)
library(dplyr)

urls <- c("https://pokemondb.net/pokedex/Bulbasaur/moves/1", "https://pokemondb.net/pokedex/Ivysaur/moves/1")

movedfs <- lapply(urls, function(url){
   
   #read page
   page <- read_html(url)

   #get the tables
   tables <- page %>% html_elements("table") %>% html_table()

   #process the 3 tables 
   moves<-lapply(tables[1:3], function(table){
      table$Move
   })

   foundmoves <- unique(trimws(unlist(moves)))
   #make dataframe with the list of moves
   tempdf <- data.frame(moves=t(foundmoves))
   #make column names and value row
   names(tempdf)<-foundmoves
   tempdf[1,] <- 1
   tempdf #return valye
})

#make final table
finaltable <- bind_rows(movedfs)

#replace the NA with 0
finaltable <- apply(finaltable, 2, function(x){
   ifelse(is.na(x), 0, 1)
})

How to calculate percentages from multiple columns

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import pandas as pd
import numpy as np

df = pd.read_csv('https://raw.githubusercontent.com/fivethirtyeight/data/master/bob-ross/elements-by-episode.csv')

dfi = df.set_index(['EPISODE', 'TITLE'])

(dfi.sum()/np.sum(dfi.to_numpy()))
APPLE_FRAME        0.000310
AURORA_BOREALIS    0.000621
BARN               0.005278
BEACH              0.008382
BOAT               0.000621
                     ...   
WAVES              0.010556
WINDMILL           0.000310
WINDOW_FRAME       0.000310
WINTER             0.021422
WOOD_FRAMED        0.000310
Length: 67, dtype: float64
-----------------------
import pandas as pd
import numpy as np

df = pd.read_csv('https://raw.githubusercontent.com/fivethirtyeight/data/master/bob-ross/elements-by-episode.csv')

dfi = df.set_index(['EPISODE', 'TITLE'])

(dfi.sum()/np.sum(dfi.to_numpy()))
APPLE_FRAME        0.000310
AURORA_BOREALIS    0.000621
BARN               0.005278
BEACH              0.008382
BOAT               0.000621
                     ...   
WAVES              0.010556
WINDMILL           0.000310
WINDOW_FRAME       0.000310
WINTER             0.021422
WOOD_FRAMED        0.000310
Length: 67, dtype: float64

Multi-Region Aurora with write forwarding from Spring Boot Application

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SET aurora_replica_read_consistency = 'session';
spring.datasource.hikari.connection-init-sql= SET aurora_replica_read_consistency = 'session'
-----------------------
SET aurora_replica_read_consistency = 'session';
spring.datasource.hikari.connection-init-sql= SET aurora_replica_read_consistency = 'session'

Getting error when executing a lambda function - Parameter \&quot;userId\&quot; has value with no field set

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 params.sql = `INSERT INTO Users (UserId, GivenName) VALUES(:userId, :givenName);`

Unable to connect to RDS Aurora DB locally

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locals {
  db_credentials = jsondecode(aws_secretsmanager_secret_version.version.secret_string)
}

resource "aws_rds_cluster" "cluster-demo" {
  master_username = local.db_credentials["username"]
  master_password = local.db_credentials["password"]
resource "aws_rds_cluster" "cluster-demo" {
  master_username = "db_user"
  master_password = random_password.password.result
output "db_user" {
  value = aws_rds_cluster.cluster-demo.master_username
}

output "db_password" {
  value = aws_rds_cluster.cluster-demo.master_password
  sensitive = true
}
-----------------------
locals {
  db_credentials = jsondecode(aws_secretsmanager_secret_version.version.secret_string)
}

resource "aws_rds_cluster" "cluster-demo" {
  master_username = local.db_credentials["username"]
  master_password = local.db_credentials["password"]
resource "aws_rds_cluster" "cluster-demo" {
  master_username = "db_user"
  master_password = random_password.password.result
output "db_user" {
  value = aws_rds_cluster.cluster-demo.master_username
}

output "db_password" {
  value = aws_rds_cluster.cluster-demo.master_password
  sensitive = true
}
-----------------------
locals {
  db_credentials = jsondecode(aws_secretsmanager_secret_version.version.secret_string)
}

resource "aws_rds_cluster" "cluster-demo" {
  master_username = local.db_credentials["username"]
  master_password = local.db_credentials["password"]
resource "aws_rds_cluster" "cluster-demo" {
  master_username = "db_user"
  master_password = random_password.password.result
output "db_user" {
  value = aws_rds_cluster.cluster-demo.master_username
}

output "db_password" {
  value = aws_rds_cluster.cluster-demo.master_password
  sensitive = true
}

How can I learn more about AWS's RDS Aurora PostgreSQL 9.6.19 upgrade failure?

copy iconCopydownload iconDownload
aws rds describe-db-log-files --db-instance-identifier my-db-instance

I used two 'setState' inside a handleChange of input, for searching on the array. why the search is unseccesfull?

copy iconCopydownload iconDownload
handleChange = (e) => {
    this.setState(
      {
        value: e.target.value
      },
      () => {
        if (this.state.value) {
            for (let i = 0; i < cities.length; i++) {
                if (cities[i].startsWith(this.state.value)) {
                    return this.setState({
                        placeholder: cities[i]
                    });
                }
            }
        }
        return this.setState({ placeholder: ''})
      }
    );
  };
render() {
    return (
      <div style={{ position: "relative" }}>
        <input value={this.state.value} style={{ fontFamily: 'Arial', fontSize: 14 }} onChange={this.handleChange} />
        <span style={{ position: "absolute", top: 0, left: 0, padding: '3px 4px', fontSize: 14, fontFamily: 'Arial', opacity: 0.5 }}>
          {this.state.placeholder}
        </span>
      </div>
    );
  }
-----------------------
handleChange = (e) => {
    this.setState(
      {
        value: e.target.value
      },
      () => {
        if (this.state.value) {
            for (let i = 0; i < cities.length; i++) {
                if (cities[i].startsWith(this.state.value)) {
                    return this.setState({
                        placeholder: cities[i]
                    });
                }
            }
        }
        return this.setState({ placeholder: ''})
      }
    );
  };
render() {
    return (
      <div style={{ position: "relative" }}>
        <input value={this.state.value} style={{ fontFamily: 'Arial', fontSize: 14 }} onChange={this.handleChange} />
        <span style={{ position: "absolute", top: 0, left: 0, padding: '3px 4px', fontSize: 14, fontFamily: 'Arial', opacity: 0.5 }}>
          {this.state.placeholder}
        </span>
      </div>
    );
  }
-----------------------
import React from "react";
import cities from "./cities.json"; //cities is an array.

class App extends React.Component {
  constructor(props) {
    super(props);
    this.state = {
      value: "",
      placeholder: "",
      suggestions: []
    };
  }

  handleChange = (e) => {
    this.setState(
      {
    value: e.target.value
      },
      () => {
    this.setState(
      {
        suggestions: []
      },
      () => {
        for (let i = 0; i < cities.length; i++) {
          if (cities[i].startsWith(`${this.state.value}`)) {
            this.setState({
              suggestions: [...this.state.suggestions, cities[i]]
            });
          }
        }
      }
    );
      }
    );
  };

  render() {
    return (
      <div>
    <label htmlFor="city">Choose your city:</label>
    <input
      value={this.state.value}
      placeholder={this.state.placeholder}
      onChange={this.handleChange}
      list="suggested_cities"
      name="city"
      id="city"
    />
    <datalist id="suggested_cities">
      {this.state.suggestions.map((suggestion) => {
        return <option value={suggestion} key={suggestion} />;
      })}
    </datalist>
      </div>
    );
  }
}

export default App;

Terraform: How can I pass variables to user_data init script

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#!/bin/bash
echo "rds = ${rds}" > /var/tmp/rds

Rename a column in AWS Aurora DB

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ALTER TABLE a ADD COLUMN (c INT), ALGORITHM = INSTANT;  -- or whatever type you want
UPDATE a SET c = b;                                     -- copy over all data from old to new
ALTER TABLE a DROP COLUMN b, ALGORITHM = INSTANT;       -- now drop the old column
-----------------------
ALTER TABLE a CHANGE b c INT NOT NULL

Can't make AWS Aurora Postgres RDS publicly available

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create_database_subnet_group           = true
create_database_subnet_route_table     = true
create_database_internet_gateway_route = true

enable_dns_hostnames = true
enable_dns_support   = true
resource "aws_route" "database_internet_gateway" {
  count = var.create_vpc && var.create_igw && var.create_database_subnet_route_table && length(var.database_subnets) > 0 && var.create_database_internet_gateway_route && false == var.create_database_nat_gateway_route ? 1 : 0

  route_table_id         = aws_route_table.database[0].id
  destination_cidr_block = "0.0.0.0/0"
  gateway_id             = aws_internet_gateway.this[0].id

  timeouts {
    create = "5m"
  }
}
resource "aws_route" "database_nat_gateway" {
  count = var.create_vpc && var.create_database_subnet_route_table && length(var.database_subnets) > 0 && false == var.create_database_internet_gateway_route && var.create_database_nat_gateway_route && var.enable_nat_gateway ? var.single_nat_gateway ? 1 : length(var.database_subnets) : 0

  route_table_id         = element(aws_route_table.database.*.id, count.index)
  destination_cidr_block = "0.0.0.0/0"
  nat_gateway_id         = element(aws_nat_gateway.this.*.id, count.index)

  timeouts {
    create = "5m"
  }
}
-----------------------
create_database_subnet_group           = true
create_database_subnet_route_table     = true
create_database_internet_gateway_route = true

enable_dns_hostnames = true
enable_dns_support   = true
resource "aws_route" "database_internet_gateway" {
  count = var.create_vpc && var.create_igw && var.create_database_subnet_route_table && length(var.database_subnets) > 0 && var.create_database_internet_gateway_route && false == var.create_database_nat_gateway_route ? 1 : 0

  route_table_id         = aws_route_table.database[0].id
  destination_cidr_block = "0.0.0.0/0"
  gateway_id             = aws_internet_gateway.this[0].id

  timeouts {
    create = "5m"
  }
}
resource "aws_route" "database_nat_gateway" {
  count = var.create_vpc && var.create_database_subnet_route_table && length(var.database_subnets) > 0 && false == var.create_database_internet_gateway_route && var.create_database_nat_gateway_route && var.enable_nat_gateway ? var.single_nat_gateway ? 1 : length(var.database_subnets) : 0

  route_table_id         = element(aws_route_table.database.*.id, count.index)
  destination_cidr_block = "0.0.0.0/0"
  nat_gateway_id         = element(aws_nat_gateway.this.*.id, count.index)

  timeouts {
    create = "5m"
  }
}
-----------------------
create_database_subnet_group           = true
create_database_subnet_route_table     = true
create_database_internet_gateway_route = true

enable_dns_hostnames = true
enable_dns_support   = true
resource "aws_route" "database_internet_gateway" {
  count = var.create_vpc && var.create_igw && var.create_database_subnet_route_table && length(var.database_subnets) > 0 && var.create_database_internet_gateway_route && false == var.create_database_nat_gateway_route ? 1 : 0

  route_table_id         = aws_route_table.database[0].id
  destination_cidr_block = "0.0.0.0/0"
  gateway_id             = aws_internet_gateway.this[0].id

  timeouts {
    create = "5m"
  }
}
resource "aws_route" "database_nat_gateway" {
  count = var.create_vpc && var.create_database_subnet_route_table && length(var.database_subnets) > 0 && false == var.create_database_internet_gateway_route && var.create_database_nat_gateway_route && var.enable_nat_gateway ? var.single_nat_gateway ? 1 : length(var.database_subnets) : 0

  route_table_id         = element(aws_route_table.database.*.id, count.index)
  destination_cidr_block = "0.0.0.0/0"
  nat_gateway_id         = element(aws_nat_gateway.this.*.id, count.index)

  timeouts {
    create = "5m"
  }
}

Community Discussions

Trending Discussions on Aurora
  • Webscraping Data : Which Pokemon Can Learn Which Attacks?
  • How to calculate percentages from multiple columns
  • Why does terraform keeps updating parameter group of rds cluster?
  • Multi-Region Aurora with write forwarding from Spring Boot Application
  • Getting error when executing a lambda function - Parameter \&quot;userId\&quot; has value with no field set
  • SyntaxError: Unexpected token ‘ in JSON at position 0
  • How to programmatically detect auto failover on AWS mysql aurora?
  • Unable to connect to RDS Aurora DB locally
  • How can I learn more about AWS's RDS Aurora PostgreSQL 9.6.19 upgrade failure?
  • I used two 'setState' inside a handleChange of input, for searching on the array. why the search is unseccesfull?
Trending Discussions on Aurora

QUESTION

Webscraping Data : Which Pokemon Can Learn Which Attacks?

Asked 2022-Apr-04 at 22:59

I am trying to create a table (150 rows, 165 columns) in which :

  • Each row is the name of a Pokemon (original Pokemon, 150)
  • Each column is the name of an "attack" that any of these Pokemon can learn (first generation)
  • Each element is either "1" or "0", indicating if that Pokemon can learn that "attack" (e.g. 1 = yes, 0 = no)

I was able to manually create this table in R:

Here are all the names:

 names
  [1] "Bulbasaur"  "Ivysaur"    "Venusaur"   "Charmander" "Charmeleon" "Charizard"  "Squirtle"   "Wartortle"  "Blastoise"  "Caterpie"   "Metapod"    "Butterfree" "Weedle"     "Kakuna"     "Beedrill"   "Pidgey"     "Pidgeotto" 
 [18] "Pidgeot"    "Rattata"    "Raticate"   "Spearow"    "Fearow"     "Ekans"      "Arbok"      "Pikachu"    "Raichu"     "Sandshrew"  "Sandslash"  "Nidoran"    "Nidorina"   "Nidoqueen"  "Nidorino"   "Nidoking"   "Clefairy"  
 [35] "Clefable"   "Vulpix"     "Ninetales"  "Jigglypuff" "Wigglytuff" "Zubat"      "Golbat"     "Oddish"     "Gloom"      "Vileplume"  "Paras"      "Parasect"   "Venonat"    "Venomoth"   "Diglett"    "Dugtrio"    "Meowth"    
 [52] "Persian"    "Psyduck"    "Golduck"    "Mankey"     "Primeape"   "Growlithe"  "Arcanine"   "Poliwag"    "Poliwhirl"  "Poliwrath"  "Abra"       "Kadabra"    "Alakazam"   "Machop"     "Machoke"    "Machamp"    "Bellsprout"
 [69] "Weepinbell" "Victreebel" "Tentacool"  "Tentacruel" "Geodude"    "Graveler"   "Golem"      "Ponyta"     "Rapidash"   "Slowpoke"   "Slowbro"    "Magnemite"  "Magneton"   "Farfetch’d" "Doduo"      "Dodrio"     "Seel"      
 [86] "Dewgong"    "Grimer"     "Muk"        "Shellder"   "Cloyster"   "Gastly"     "Haunter"    "Gengar"     "Onix"       "Drowzee"    "Hypno"      "Krabby"     "Kingler"    "Voltorb"    "Electrode"  "Exeggcute"  "Exeggutor" 
[103] "Cubone"     "Marowak"    "Hitmonlee"  "Hitmonchan" "Lickitung"  "Koffing"    "Weezing"    "Rhyhorn"    "Rhydon"     "Chansey"    "Tangela"    "Kangaskhan" "Horsea"     "Seadra"     "Goldeen"    "Seaking"    "Staryu"    
[120] "Starmie"    "Mr.Mime"    "Scyther"    "Jynx"       "Electabuzz" "Magmar"     "Pinsir"     "Tauros"     "Magikarp"   "Gyarados"   "Lapras"     "Ditto"      "Eevee"      "Vaporeon"   "Jolteon"    "Flareon"    "Porygon"   
[137] "Omanyte"    "Omastar"    "Kabuto"     "Kabutops"   "Aerodactyl" "Snorlax"    "Articuno"   "Zapdos"     "Moltres"    "Dratini"    "Dragonair"  "Dragonite"  "Mewtwo"     "Mew"    

Here are all the attacks:

 [1] "Absorb"          "Acid "           "Acid Armor "     "Agility "        "Amnesia "        "Aurora Beam "    "Barrage "        "Barrier "        "Bide "           "Bind "           "Bite "           "Blizzard "      
 [13] "Body Slam "      "Bone Club "      "Bonemerang "     "Bubble "         "Bubble Beam "    "Clamp "          "Comet Punch "    "Confuse Ray "    "Confusion "      "Constrict "      "Conversion "     "Counter "       
 [25] "Crabhammer "     "Cut "            "Defense Curl "   "Dig "            "Disable "        "Dizzy Punch "    "Double Kick "    "Double Slap "    "Double Team "    "Double-Edge "    "Dragon Rage "    "Dream Eater "   
 [37] "Drill Peck "     "Earthquake "     "Egg Bomb "       "Ember "          "Explosion "      "Fire Blast "     "Fire Punch "     "Fire Spin "      "Fissure "        "Flamethrower "   "Flash "          "Fly "           
 [49] "Focus Energy "   "Fury Attack "    "Fury Swipes "    "Glare "          "Growl "          "Growth "         "Guillotine "     "Gust "           "Harden "         "Haze "           "Headbutt "       "High Jump Kick "
 [61] "Horn Attack "    "Horn Drill "     "Hydro Pump "     "Hyper Beam "     "Hyper Fang "     "Hypnosis "       "Ice Beam "       "Ice Punch "      "Jump Kick "      "Karate Chop "    "Kinesis "        "Leech Life "    
 [73] "Leech Seed "     "Leer "           "Lick "           "Light Screen "   "Lovely Kiss "    "Low Kick "       "Meditate "       "Mega Drain "     "Mega Kick "      "Mega Punch "     "Metronome "      "Mimic "         
 [85] "Minimize "       "Mirror Move "    "Mist "           "Night Shade "    "Pay Day "        "Peck "           "Petal Dance "    "Pin Missile "    "Poison Gas "     "Poison Powder "  "Poison Sting "   "Pound "         
 [97] "Psybeam "        "Psychic "        "Psywave "        "Quick Attack "   "Rage "           "Razor Leaf "     "Razor Wind "     "Recover "        "Reflect "        "Rest "           "Roar "           "Rock Slide "    
[109] "Rock Throw "     "Rolling Kick "   "Sand Attack "    "Scratch "        "Screech "        "Seismic Toss "   "Self-Destruct "  "Sharpen "        "Sing "           "Skull Bash "     "Sky Attack "     "Slam "          
[121] "Slash "          "Sleep Powder "   "Sludge "         "Smog "           "Smokescreen "    "Soft-Boiled "    "Solar Beam "     "Sonic Boom "     "Spike Cannon "   "Splash "         "Spore "          "Stomp "         
[133] "Strength "       "String Shot "    "Struggle "       "Stun Spore "     "Submission "     "Substitute "     "Super Fang "     "Supersonic "     "Surf "           "Swift "          "Swords Dance "   "Tackle "        
[145] "Tail Whip "      "Take Down "      "Teleport "       "Thrash "         "Thunder "        "Thunder Punch "  "Thunder Shock "  "Thunder Wave "   "Thunderbolt "    "Toxic "          "Transform "      "Tri Attack "    
[157] "Twineedle "      "Vine Whip "      "Vise Grip "      "Water Gun "      "Waterfall "      "Whirlwind "      "Wing Attack "    "Withdraw "       "Wrap "         

Then I put them together into a table:

m <- data.frame(matrix(0, ncol = 165, nrow = 150))
rownames(m) <- names
colnames(m) <- moves

From a previous question (Webscraping Pokemon Data), I was able to figure out how to identify all 150 websites that contain information on which attack can be learned by which Pokemon:

template_1 = rep("https://pokemondb.net/pokedex/",150)
template_2 = rep("/moves/1",150)

pokemon_websites = data.frame(template_1, names, template_2)

pokemon_websites$full_website =  paste(pokemon_websites$template_1, pokemon_websites$names, pokemon_websites$template_2)

library(stringr)
 pokemon_websites$full_website = str_remove_all( pokemon_websites$full_website," ")

For example, here are the websites for the first 6 Pokemon:

head(pokemon_websites$full_website)

[1] "https://pokemondb.net/pokedex/Bulbasaur/moves/1"  "https://pokemondb.net/pokedex/Ivysaur/moves/1"    "https://pokemondb.net/pokedex/Venusaur/moves/1"   "https://pokemondb.net/pokedex/Charmander/moves/1"
[5] "https://pokemondb.net/pokedex/Charmeleon/moves/1" "https://pokemondb.net/pokedex/Charizard/moves/1"

For instance, the first Pokemon "Bulbasaur" can learn the following moves (https://pokemondb.net/pokedex/Bulbasaur/moves/1):

enter image description here

This means that the following columns of "m" for the first row should replaced with "1":

growl = 1
tackle = 1
`Leech Seed `  = 1
`Vine Whip ` = 1
`Poison Power ` = 1
`Razor Leaf `  = 1
`Growth `  = 1
`Sleep Power `  = 1
`Solar Beam `= 1
Cut = 1
`Swords Dance`= 1
Toxic = 1
`Body Slam ` = 1
`Take Down ` = 1
`Double-Edge ` = 1
Rage = 1
`Mega Drain ` = 1
`Solar Beam ` = 1
Mimic  = 1
`Double Team ` = 1
Reflect = 1
Bide = 1
Rest = 1
Substitute = 1

Is it possible to:

  • Webscrape the list of 150 websites to find out which Pokemon can learn which attacks?
  • When a Pokemon can learn that attack, replace the corresponding element to 1?

Thank you!

ANSWER

Answered 2022-Apr-04 at 22:59

Here is the a solution taking the list of url to webpages of interest, collecting the moves from each table and creating a dataframe with the "1s".
Then combining the individual tables into the final answer

library(rvest)
library(dplyr)

urls <- c("https://pokemondb.net/pokedex/Bulbasaur/moves/1", "https://pokemondb.net/pokedex/Ivysaur/moves/1")

movedfs <- lapply(urls, function(url){
   
   #read page
   page <- read_html(url)

   #get the tables
   tables <- page %>% html_elements("table") %>% html_table()

   #process the 3 tables 
   moves<-lapply(tables[1:3], function(table){
      table$Move
   })

   foundmoves <- unique(trimws(unlist(moves)))
   #make dataframe with the list of moves
   tempdf <- data.frame(moves=t(foundmoves))
   #make column names and value row
   names(tempdf)<-foundmoves
   tempdf[1,] <- 1
   tempdf #return valye
})

#make final table
finaltable <- bind_rows(movedfs)

#replace the NA with 0
finaltable <- apply(finaltable, 2, function(x){
   ifelse(is.na(x), 0, 1)
})

Source https://stackoverflow.com/questions/71731208

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