Hey can i get the code written in python! i uploaded description of each part for better understanding, Thanks!

pokemonLocations

Question 2 (23 points): Purpose: To practice the concept of dictionary as a database: to implement a problem that has been decomposed into smaller parts Degree of Difficulty: Moderate, but the different parts vary Overview Pokemon are fantastic creatures that people can catch and train Pokemon are classified into different "types", such as grass, fire or electric. To catch different types of pokemon, you might have to travel all over the world! For this portion of the assignment, you will build a program that will help organize information about where to go to catch the different pokemon This part of the assignment is divided into 5 different questions, but in the end, your work from all of the questions will be combined to complete the overall program. The first four questions will each ask you to define a function that will perform a specific task. Make sure that the inputs (parameters) and outputs (return values) of your functions match the problem description exactly. or else the whole thing won't fit together properly! The following is a brief overview of how the next five questions will fit together. Part 1 Read data about the pokemon from a text file and organize it as a database. You must fully complete this question before moving on. All of the other questions will depend on the database that you create here. Part 2: Build a list of all the unique continents where you can find pokemon. Part 3: Build a list of all the pokemon that can be found on a particular continent. Part 4: Count how many of each pokemon type occur within a given list of pokemon names Part 5: For each continent display the pokemon type counts. Individually, none of these questions are particularly difficult, but if you make a mistake anywhere along the way, then the last part won't work. Make sure to perform simple testing, such as printing out lists or dictionaries, as you go to make sure that everything looks right. One last note of caution: we have given you an input file for this assignment, but be aware that we might test your program on a different input file. Therefore, you must make sure your code is fully general: don't count on knowing exactly how many pokemon there are, or on knowing exactly what the names of the pokemon types or locations might be. What to Hand In When you're done, you'll hand in one document, a6q2.py, with ALL your work for the different parts in it Make sure you put identification information at the top of your program! Part 1(6 marks) Before starting this question, first, download the data file pokemonLocations.txt from the class Moodle. Make sure to put it in the same folder as your a5.py python code. Write a function called read_pokedata() that takes as parameter(s): a string indicating the name of a pokemon location data file This function should return a database (i.e. a dictionary-of-dictionaries) that stores all of the Pokemon data in a format that we will describe further below. You can review section 11.1.9 of the text for a refresher on what databases look like using dictionaries Input File Format The data file for this question looks like this: bulbasaur, grass, South America ivysaur, grass, Asia, Antarctica Each line of the file contains all of the data for a single pokemon. The first item on the line is always the pokemon's name names are guaranteed to be unique. The second item is always the pokemon's type. which in the example above, is the type grass. Following that are one or more continents where that pokemon can be found. So Bulbasaur can only be found in South America, but Ivysaur can be found in both Asia and Antarctica. Note that the continent names CAN contain spaces. All of the data items on a each line are separated by commas. Database Format Your function should open the file given as a parameter and read the data from it into a database. The keys for this database will be pokemon names, and the values will be records (i.e another dictionary) for the matching pokemon First, the read_pokedata() function should create an empty dictionary to be the overall database. Then, for each pokemon from the input file, create one record (.e. one dictionary) with the following fields The pokemon's name, as a string. The pokemon's type, as a string. The locations where the pokemon can be found, as a list of strings. This record should then be added to the database, using the pokemon's name as a key. Once all of the records have been added the function should return the database dictionary. Part 2 (4 marks) Write a function called find_continents() which takes as parameter(s): A dictionary in the format of the pokemon database as described in 01 This function should construct and return a list of all the different continents where it is possible to find pokemon. Each entry in the list should be unique in other words, don't add the same continent twice even if you can find multiple kinds of pokemon there. For the input file you were given the resulting list should be (though not necessarily in this order): ['Oceania', 'Asia', 'South America', 'North America', 'Africa', Antarctica', 'Europe'] Also note that this function must not change the pokemon database in any way. Part 3 (4 marks) Write a function called pokemon_in_continent() which takes as parameter(s): A dictionary in the format of the pokemon database as described in Q1 . The name of a continent as a string The function should construct and return a list containing the names of all of the pokemon that can be found on the given continent. For example, for the input file you were given if the continent is "Africa". the resulting list should be (though not necessarily in this order): ['gyarados', 'nidorina', 'magmar', 'jigglypuff', 'nachoke', 'machamp', dragonair', 'slowbro', 'machop', 'venomoth', 'tentacruel', 'parasect', omanyte', 'poliwrath', 'muk', 'hitmonlee', 'vaporeon', 'tangela', 'gengar', inidoranmale', 'venusaur' 'onix', 'nidoking', 'golem', 'aerodactyl', 'tauros', 'metapod', 'electrode', 'lapras', 'psyduck', 'blastoise', 'nidoqueen', 'alakazam', 'cubone','magikarp', 'kabutops', 'kakuna', poliwag', 'marowak', 'rhydon', 'kangaskhan', 'zubat', 'dodrio', 'persian', 'pikachu', 'meowth', 'drowzee', 'gastly'] Also, note that this function must not change the pokemon database in any way. Part 4 (4 marks) Write a function called count_types() which takes as parameter(s): A dictionary in the format of the pokemon database as described in Q1 A list of pokemon names (as strings) This function should construct and return a dictionary where each key is a pokemon type (eg grass or fire, etc...) and the value for that key is the number of pokemon of that type in the given list of pokemon names. Recall that pokemon type was one of the fields for each pokemon record in the database. For example, using the sample list of all of the pokemon from "Africa" (see Q3 to see that list), the resulting dictionary should be {'dragon': 1, 'rock': 4, 'normal': 4, 'flying': 3, 'fire': 1, 'electric': 2, 'bug': 3, 'ghost': 2, "water': 9, poison': 6, 'fairy': 1, "psychic': 3, 'ground": 3, 'grass': 2, 'fighting': 4} Also, note that this function must not change the pokemon database or the given list of pokemon names in any way. Part 5 (5 marks) Now it's time to put all your functions together to print out a summary report of how many and what types of pokemon you can find on each continent. In the main part of your program, write code that will print to the console the name of each continent, the TOTAL number of different pokemon that can be found on that continent, followed by the counts for each pokemon type on that continent For example, the format for your output might look something like this: Africa: 48 total pokemon {'ground": 3, 'fire': 1, 'fairy': 1, 'water': 9, 'ghost": 2, 'fighting': 4, 'flying': 3, 'dragon': 1, 'electric': 2, 'grass': 2, 'normal': 4, poison': 6,'psychic': 3, 'rock': 4, "bug': 3} South America: 55 total pokemon {'ground?: 5, 'fire': 2, "water": 10, 'fighting': 2, 'flying': 4, dragon': 1, electric': 5, 'grass': 4, 'normal': 3, poison': 8, 'bug': 6, 'rock': 2, 'psychic': 3} There will be more continents, but we're only showing two here to save space. To do this, you will need to make use of all of the functions you have written so far and make good use of their inputs and outputs. If you've done everything correctly, this part of your program won't require a lot of code: just a few function calls and a single for-loop should be enough. bulbasaur, grass, South America ivysaur, grass, Asia, Antarctica venusaur, grass, Africa, South America charmander, fire, North America, Oceania charmeleon, fire, South America charizard, fire, Oceania squirtle, water, Oceania Wartortle, water, Antarctica blastoise, water, Africa, South America caterpie, bug, Oceania metapod, bug, Asia, Africa, Europe, South America butterfree, bug, Antarctica, Oceania, South America Weedle, bug, Europe, South America, Asia kakuna, bug, South America, Oceania, Africa, North America beedrill, bug, North America, Asia, Oceania, Antarctica pidgey, flying, Antarctica, Europe, Oceania, South America pidgeotto, flying, Europe, Asia pidgeot, flying, Europe, Oceania, Asia rattata, normal, South America, Europe, Antarctica raticate, normal, Oceania spearow, flying, South America, North America, Antarctica, Europe fearow, flying, Asia, Antarctica ekans, poison, Europe, Oceania, North America, Asia arbok, poison, South America pikachu, electric, North America, Oceania, Africa raichu, electric, North America sandshrew,ground, Asia, North America, South America sandslash, ground, Asia, South America, North America nidoranfemale, poison, Asia nidorina, poison, Africa, Europe, South America, Antarctica nidoqueen, poison, Africa, South America nidoranmale, poison, Asia, Africa, South America, North America nidorino, poison, Antarctica nidoking, poison, Africa, South America, Antarctica, Oceania pokemonLocations - Notepad File Edit Format View Help clefairy, fairy, Asia clefable, fairy, Europe, North America vulpix, fire, North America, Antarctica, Oceania ninetales, fire, North America, Asia jigglypuff, fairy, Asia, Oceania, Europe, Africa wigglytuff, fairy, North America, Asia zubat, flying, Africa, Europe, Oceania, Asia golbat, flying, South America, Antarctica oddish, grass, Europe, Asia, North America gloom, grass, Oceania, Europe, Antarctica, North America vileplume, grass, Oceania, Antarctica paras, bug, Oceania, Antarctica, South America, Europe parasect, bug, Africa, South America, North America venonat, poison, North America, South America venomoth,poison, Africa, Europe, Antarctica diglett, ground, Europe, South America, Asia, Oceania dugtrio, ground, North America, Europe, South America meowth, normal, Africa persian, normal, North America, Oceania, Africa, Antarctica psyduck, water, Africa, North America golduck, water, Antarctica, South America, Europe, Asia mankey, fighting, North America, Oceania, South America primeape, fighting, Oceania growlithe, fire, Antarctica, North America arcanine, fire, Europe poliwag, water, Europe, Africa, Antarctica, Oceania poliwhirl, water, Europe poliwrath, water, Africa, Antarctica, Asia abra, psychic, North America kadabra, psychic, Oceania, Europe, Antarctica, South America alakazam, psychic, Africa machop, fighting, Africa machoke, fighting, North America, South America, Antarctica, Africa machamp, fighting, Asia, North America, Oceania, Africa pokemonLocations - Notepad File Edit Format View Help bellsprout, grass, Antarctica, North America weepinbell, grass, Asia, South America victreebel, grass, South America tentacool, water, Europe, Asia, Oceania, North America tentacruel, water, Africa, Europe, Oceania, North America geodude, rock, Oceania, Asia, South America, North America graveler, rock, North America, Antarctica golem, rock, Asia, Africa, North America, Antarctica ponyta, fire, Oceania, Europe rapidash, fire, Europe slowpoke, psychic, Europe slowbro, psychic, Antarctica, Africa magnemite, electric, Europe, Antarctica, South America, Asia magneton, electric, Antarctica farfetchd, flying, Asia, Antarctica, Oceania, North America doduo, flying, North America dodrio, flying, Oceania, Africa, Antarctica seel, water, Oceania, South America, North America dewgong, water, Antarctica, North America, Oceania, South America grimer, poison, Asia, Oceania, North America muk, poison, Oceania, Africa, Antarctica, South America shellder, water, South America, Europe, Oceania cloyster, water, Antarctica, Asia gastly,ghost, North America, Antarctica, Africa, Oceania haunter, ghost, North America gengar, ghost, Oceania, Asia, Africa onix,rock, North America, Africa, Oceania, South America drowzee, psychic, Oceania, Africa, Europe, Asia hypno, psychic, North America, Europe, South America krabby, water, South America kingler, water, Asia voltorb, electric, Oceania, Europe, Asia, South America electrode, electric, South America, North America, Africa, Asia exeggcute, grass, Oceania pokemonLocations - Notepad File Edit Format View Help exeggutor, grass, Asia, Oceania, Antarctica, Europe cubone, ground, Asia, Africa, Oceania, Antarctica marowak, ground, North America, Africa, South America hitmonlee, fighting, North America, Africa hitmonchan, fighting, Oceania lickitung, normal, Antarctica, South America, North America koffing, poison, Antarctica weezing, poison, South America, Oceania, North America, Asia rhyhorn, ground, Europe rhydon, ground, North America, Africa, Oceania, Antarctica chansey, normal, Antarctica, Europe, North America tangela,grass, Africa, Europe, Antarctica Kangaskhan, normal, Oceania, Asia, Antarctica, Africa horsea, water, North America, Antarctica, South America seadra, water, Antarctica, South America, North America goldeen, water, Asia, Antarctica, Europe, North America seaking, water, Asia staryu, water, Antarctica, Oceania starmie, water, North America, South America mr.mime, psychic, Oceania scyther, bug, Oceania jynx, psychic, South America electabuzz, electric, Europe, South America, Oceania magmar, fire, Antarctica, Africa pinsir, bug, Asia, Europe, North America tauros, normal, Oceania, Europe, South America, Africa magikarp, water, Africa, Europe, Oceania, North America gyarados, water, South America, Africa lapras, water, Africa ditto, normal, Europe, Oceania, North America, Antarctica eevee, normal, Asia vaporeon, water, Africa, Oceania jolteon, electric, Europe, South America flareon, fire, South America, Antarctica porygon, normal, Europe omanyte, rock, Antarctica, Africa omastar, rock, Europe, North America kabuto, rock, Oceania Kabutops, rock, Africa aerodactyl, flying, Oceania, Africa, South America, North America snorlax, normal, Antarctica articuno, ice, North America zapdos, electric, North America, Europe moltres, fire, Europe, Antarctica dratini, dragon, Europe, South America dragonair, dragon, Africa, North America, Antarctica dragonite, dragon, Oceania mewtwo, psychic, Antarctica mew, psychic, Europe, Oceania Question 2 (23 points): Purpose: To practice the concept of dictionary as a database: to implement a problem that has been decomposed into smaller parts Degree of Difficulty: Moderate, but the different parts vary Overview Pokemon are fantastic creatures that people can catch and train Pokemon are classified into different "types", such as grass, fire or electric. To catch different types of pokemon, you might have to travel all over the world! For this portion of the assignment, you will build a program that will help organize information about where to go to catch the different pokemon This part of the assignment is divided into 5 different questions, but in the end, your work from all of the questions will be combined to complete the overall program. The first four questions will each ask you to define a function that will perform a specific task. Make sure that the inputs (parameters) and outputs (return values) of your functions match the problem description exactly. or else the whole thing won't fit together properly! The following is a brief overview of how the next five questions will fit together. Part 1 Read data about the pokemon from a text file and organize it as a database. You must fully complete this question before moving on. All of the other questions will depend on the database that you create here. Part 2: Build a list of all the unique continents where you can find pokemon. Part 3: Build a list of all the pokemon that can be found on a particular continent. Part 4: Count how many of each pokemon type occur within a given list of pokemon names Part 5: For each continent display the pokemon type counts. Individually, none of these questions are particularly difficult, but if you make a mistake anywhere along the way, then the last part won't work. Make sure to perform simple testing, such as printing out lists or dictionaries, as you go to make sure that everything looks right. One last note of caution: we have given you an input file for this assignment, but be aware that we might test your program on a different input file. Therefore, you must make sure your code is fully general: don't count on knowing exactly how many pokemon there are, or on knowing exactly what the names of the pokemon types or locations might be. What to Hand In When you're done, you'll hand in one document, a6q2.py, with ALL your work for the different parts in it Make sure you put identification information at the top of your program! Part 1(6 marks) Before starting this question, first, download the data file pokemonLocations.txt from the class Moodle. Make sure to put it in the same folder as your a5.py python code. Write a function called read_pokedata() that takes as parameter(s): a string indicating the name of a pokemon location data file This function should return a database (i.e. a dictionary-of-dictionaries) that stores all of the Pokemon data in a format that we will describe further below. You can review section 11.1.9 of the text for a refresher on what databases look like using dictionaries Input File Format The data file for this question looks like this: bulbasaur, grass, South America ivysaur, grass, Asia, Antarctica Each line of the file contains all of the data for a single pokemon. The first item on the line is always the pokemon's name names are guaranteed to be unique. The second item is always the pokemon's type. which in the example above, is the type grass. Following that are one or more continents where that pokemon can be found. So Bulbasaur can only be found in South America, but Ivysaur can be found in both Asia and Antarctica. Note that the continent names CAN contain spaces. All of the data items on a each line are separated by commas. Database Format Your function should open the file given as a parameter and read the data from it into a database. The keys for this database will be pokemon names, and the values will be records (i.e another dictionary) for the matching pokemon First, the read_pokedata() function should create an empty dictionary to be the overall database. Then, for each pokemon from the input file, create one record (.e. one dictionary) with the following fields The pokemon's name, as a string. The pokemon's type, as a string. The locations where the pokemon can be found, as a list of strings. This record should then be added to the database, using the pokemon's name as a key. Once all of the records have been added the function should return the database dictionary. Part 2 (4 marks) Write a function called find_continents() which takes as parameter(s): A dictionary in the format of the pokemon database as described in 01 This function should construct and return a list of all the different continents where it is possible to find pokemon. Each entry in the list should be unique in other words, don't add the same continent twice even if you can find multiple kinds of pokemon there. For the input file you were given the resulting list should be (though not necessarily in this order): ['Oceania', 'Asia', 'South America', 'North America', 'Africa', Antarctica', 'Europe'] Also note that this function must not change the pokemon database in any way. Part 3 (4 marks) Write a function called pokemon_in_continent() which takes as parameter(s): A dictionary in the format of the pokemon database as described in Q1 . The name of a continent as a string The function should construct and return a list containing the names of all of the pokemon that can be found on the given continent. For example, for the input file you were given if the continent is "Africa". the resulting list should be (though not necessarily in this order): ['gyarados', 'nidorina', 'magmar', 'jigglypuff', 'nachoke', 'machamp', dragonair', 'slowbro', 'machop', 'venomoth', 'tentacruel', 'parasect', omanyte', 'poliwrath', 'muk', 'hitmonlee', 'vaporeon', 'tangela', 'gengar', inidoranmale', 'venusaur' 'onix', 'nidoking', 'golem', 'aerodactyl', 'tauros', 'metapod', 'electrode', 'lapras', 'psyduck', 'blastoise', 'nidoqueen', 'alakazam', 'cubone','magikarp', 'kabutops', 'kakuna', poliwag', 'marowak', 'rhydon', 'kangaskhan', 'zubat', 'dodrio', 'persian', 'pikachu', 'meowth', 'drowzee', 'gastly'] Also, note that this function must not change the pokemon database in any way. Part 4 (4 marks) Write a function called count_types() which takes as parameter(s): A dictionary in the format of the pokemon database as described in Q1 A list of pokemon names (as strings) This function should construct and return a dictionary where each key is a pokemon type (eg grass or fire, etc...) and the value for that key is the number of pokemon of that type in the given list of pokemon names. Recall that pokemon type was one of the fields for each pokemon record in the database. For example, using the sample list of all of the pokemon from "Africa" (see Q3 to see that list), the resulting dictionary should be {'dragon': 1, 'rock': 4, 'normal': 4, 'flying': 3, 'fire': 1, 'electric': 2, 'bug': 3, 'ghost': 2, "water': 9, poison': 6, 'fairy': 1, "psychic': 3, 'ground": 3, 'grass': 2, 'fighting': 4} Also, note that this function must not change the pokemon database or the given list of pokemon names in any way. Part 5 (5 marks) Now it's time to put all your functions together to print out a summary report of how many and what types of pokemon you can find on each continent. In the main part of your program, write code that will print to the console the name of each continent, the TOTAL number of different pokemon that can be found on that continent, followed by the counts for each pokemon type on that continent For example, the format for your output might look something like this: Africa: 48 total pokemon {'ground": 3, 'fire': 1, 'fairy': 1, 'water': 9, 'ghost": 2, 'fighting': 4, 'flying': 3, 'dragon': 1, 'electric': 2, 'grass': 2, 'normal': 4, poison': 6,'psychic': 3, 'rock': 4, "bug': 3} South America: 55 total pokemon {'ground?: 5, 'fire': 2, "water": 10, 'fighting': 2, 'flying': 4, dragon': 1, electric': 5, 'grass': 4, 'normal': 3, poison': 8, 'bug': 6, 'rock': 2, 'psychic': 3} There will be more continents, but we're only showing two here to save space. To do this, you will need to make use of all of the functions you have written so far and make good use of their inputs and outputs. If you've done everything correctly, this part of your program won't require a lot of code: just a few function calls and a single for-loop should be enough. bulbasaur, grass, South America ivysaur, grass, Asia, Antarctica venusaur, grass, Africa, South America charmander, fire, North America, Oceania charmeleon, fire, South America charizard, fire, Oceania squirtle, water, Oceania Wartortle, water, Antarctica blastoise, water, Africa, South America caterpie, bug, Oceania metapod, bug, Asia, Africa, Europe, South America butterfree, bug, Antarctica, Oceania, South America Weedle, bug, Europe, South America, Asia kakuna, bug, South America, Oceania, Africa, North America beedrill, bug, North America, Asia, Oceania, Antarctica pidgey, flying, Antarctica, Europe, Oceania, South America pidgeotto, flying, Europe, Asia pidgeot, flying, Europe, Oceania, Asia rattata, normal, South America, Europe, Antarctica raticate, normal, Oceania spearow, flying, South America, North America, Antarctica, Europe fearow, flying, Asia, Antarctica ekans, poison, Europe, Oceania, North America, Asia arbok, poison, South America pikachu, electric, North America, Oceania, Africa raichu, electric, North America sandshrew,ground, Asia, North America, South America sandslash, ground, Asia, South America, North America nidoranfemale, poison, Asia nidorina, poison, Africa, Europe, South America, Antarctica nidoqueen, poison, Africa, South America nidoranmale, poison, Asia, Africa, South America, North America nidorino, poison, Antarctica nidoking, poison, Africa, South America, Antarctica, Oceania pokemonLocations - Notepad File Edit Format View Help clefairy, fairy, Asia clefable, fairy, Europe, North America vulpix, fire, North America, Antarctica, Oceania ninetales, fire, North America, Asia jigglypuff, fairy, Asia, Oceania, Europe, Africa wigglytuff, fairy, North America, Asia zubat, flying, Africa, Europe, Oceania, Asia golbat, flying, South America, Antarctica oddish, grass, Europe, Asia, North America gloom, grass, Oceania, Europe, Antarctica, North America vileplume, grass, Oceania, Antarctica paras, bug, Oceania, Antarctica, South America, Europe parasect, bug, Africa, South America, North America venonat, poison, North America, South America venomoth,poison, Africa, Europe, Antarctica diglett, ground, Europe, South America, Asia, Oceania dugtrio, ground, North America, Europe, South America meowth, normal, Africa persian, normal, North America, Oceania, Africa, Antarctica psyduck, water, Africa, North America golduck, water, Antarctica, South America, Europe, Asia mankey, fighting, North America, Oceania, South America primeape, fighting, Oceania growlithe, fire, Antarctica, North America arcanine, fire, Europe poliwag, water, Europe, Africa, Antarctica, Oceania poliwhirl, water, Europe poliwrath, water, Africa, Antarctica, Asia abra, psychic, North America kadabra, psychic, Oceania, Europe, Antarctica, South America alakazam, psychic, Africa machop, fighting, Africa machoke, fighting, North America, South America, Antarctica, Africa machamp, fighting, Asia, North America, Oceania, Africa pokemonLocations - Notepad File Edit Format View Help bellsprout, grass, Antarctica, North America weepinbell, grass, Asia, South America victreebel, grass, South America tentacool, water, Europe, Asia, Oceania, North America tentacruel, water, Africa, Europe, Oceania, North America geodude, rock, Oceania, Asia, South America, North America graveler, rock, North America, Antarctica golem, rock, Asia, Africa, North America, Antarctica ponyta, fire, Oceania, Europe rapidash, fire, Europe slowpoke, psychic, Europe slowbro, psychic, Antarctica, Africa magnemite, electric, Europe, Antarctica, South America, Asia magneton, electric, Antarctica farfetchd, flying, Asia, Antarctica, Oceania, North America doduo, flying, North America dodrio, flying, Oceania, Africa, Antarctica seel, water, Oceania, South America, North America dewgong, water, Antarctica, North America, Oceania, South America grimer, poison, Asia, Oceania, North America muk, poison, Oceania, Africa, Antarctica, South America shellder, water, South America, Europe, Oceania cloyster, water, Antarctica, Asia gastly,ghost, North America, Antarctica, Africa, Oceania haunter, ghost, North America gengar, ghost, Oceania, Asia, Africa onix,rock, North America, Africa, Oceania, South America drowzee, psychic, Oceania, Africa, Europe, Asia hypno, psychic, North America, Europe, South America krabby, water, South America kingler, water, Asia voltorb, electric, Oceania, Europe, Asia, South America electrode, electric, South America, North America, Africa, Asia exeggcute, grass, Oceania pokemonLocations - Notepad File Edit Format View Help exeggutor, grass, Asia, Oceania, Antarctica, Europe cubone, ground, Asia, Africa, Oceania, Antarctica marowak, ground, North America, Africa, South America hitmonlee, fighting, North America, Africa hitmonchan, fighting, Oceania lickitung, normal, Antarctica, South America, North America koffing, poison, Antarctica weezing, poison, South America, Oceania, North America, Asia rhyhorn, ground, Europe rhydon, ground, North America, Africa, Oceania, Antarctica chansey, normal, Antarctica, Europe, North America tangela,grass, Africa, Europe, Antarctica Kangaskhan, normal, Oceania, Asia, Antarctica, Africa horsea, water, North America, Antarctica, South America seadra, water, Antarctica, South America, North America goldeen, water, Asia, Antarctica, Europe, North America seaking, water, Asia staryu, water, Antarctica, Oceania starmie, water, North America, South America mr.mime, psychic, Oceania scyther, bug, Oceania jynx, psychic, South America electabuzz, electric, Europe, South America, Oceania magmar, fire, Antarctica, Africa pinsir, bug, Asia, Europe, North America tauros, normal, Oceania, Europe, South America, Africa magikarp, water, Africa, Europe, Oceania, North America gyarados, water, South America, Africa lapras, water, Africa ditto, normal, Europe, Oceania, North America, Antarctica eevee, normal, Asia vaporeon, water, Africa, Oceania jolteon, electric, Europe, South America flareon, fire, South America, Antarctica porygon, normal, Europe omanyte, rock, Antarctica, Africa omastar, rock, Europe, North America kabuto, rock, Oceania Kabutops, rock, Africa aerodactyl, flying, Oceania, Africa, South America, North America snorlax, normal, Antarctica articuno, ice, North America zapdos, electric, North America, Europe moltres, fire, Europe, Antarctica dratini, dragon, Europe, South America dragonair, dragon, Africa, North America, Antarctica dragonite, dragon, Oceania mewtwo, psychic, Antarctica mew, psychic, Europe, Oceania