# Author:
	# my_id:
	# Sample Program to get you started on the project
	###############################################################################
	list_of_names = \
	['MARY', 'PATRICIA', 'LINDA', 'BARBARA', 'ELIZABETH', 'JENNIFER', 'MARIA',
	'SUSAN', 'MARGARET', 'DOROTHY', 'LISA', 'NANCY', 'KAREN', 'BETTY', 'HELEN',
	'SANDRA', 'DONNA', 'CAROL', 'RUTH', 'SHARON', 'MICHELLE', 'LAURA', 'SARAH',
	'KIMBERLY', 'DEBORAH', 'JESSICA', 'SHIRLEY', 'CYNTHIA', 'ANGELA', 'MELISSA',
	'BRENDA', 'AMY', 'ANNA', 'REBECCA', 'VIRGINIA', 'KATHLEEN', 'PAMELA',
	'MARTHA', 'DEBRA', 'AMANDA', 'STEPHANIE', 'CAROLYN', 'CHRISTINE', 'MARIE',
	'JANET', 'CATHERINE', 'FRANCES', 'ANN', 'JOYCE', 'DIANE', 'ALICE', 'JULIE',
	'HEATHER', 'TERESA', 'DORIS', 'GLORIA', 'EVELYN', 'JEAN', 'CHERYL', 'MILDRED',
	'KATHERINE', 'JOAN', 'ASHLEY', 'JUDITH', 'ROSE', 'JANICE', 'KELLY', 'NICOLE',
	'JUDY', 'CHRISTINA', 'KATHY', 'THERESA', 'BEVERLY', 'DENISE', 'TAMMY',
	'IRENE', 'JANE', 'LORI', 'RACHEL', 'MARILYN', 'ANDREA', 'KATHRYN', 'LOUISE',
	'SARA', 'ANNE', 'JACQUELINE', 'WANDA', 'BONNIE', 'JULIA', 'RUBY', 'LOIS',
	'TINA', 'PHYLLIS', 'NORMA', 'PAULA', 'DIANA', 'ANNIE', 'LILLIAN', 'EMILY',
	'ROBIN', 'PEGGY', 'CRYSTAL', 'GLADYS', 'RITA', 'DAWN', 'CONNIE', 'FLORENCE',
	'TRACY', 'EDNA', 'TIFFANY', 'CARMEN', 'ROSA', 'CINDY', 'GRACE', 'WENDY',
	'VICTORIA', 'EDITH', 'KIM', 'SHERRY', 'SYLVIA', 'JOSEPHINE', 'THELMA',
	'SHANNON', 'SHEILA', 'ETHEL', 'ELLEN', 'ELAINE', 'MARJORIE', 'CARRIE',
	'CHARLOTTE', 'MONICA', 'ESTHER', 'PAULINE', 'EMMA', 'JUANITA', 'ANITA',
	'RHONDA', 'HAZEL', 'AMBER', 'EVA', 'DEBBIE', 'APRIL', 'LESLIE', 'CLARA',
	'LUCILLE', 'JAMIE', 'JOANNE', 'ELEANOR', 'VALERIE', 'DANIELLE', 'MEGAN',
	'ALICIA', 'SUZANNE', 'MICHELE', 'GAIL', 'BERTHA', 'DARLENE', 'VERONICA',
	'JILL', 'ERIN', 'GERALDINE', 'LAUREN', 'CATHY', 'JOANN', 'LORRAINE', 'LYNN',
	'SALLY', 'REGINA', 'ERICA', 'BEATRICE', 'DOLORES', 'BERNICE', 'AUDREY',
	'YVONNE', 'ANNETTE', 'JUNE', 'SAMANTHA', 'MARION', 'DANA', 'STACY', 'ANA',
	'RENEE', 'IDA', 'VIVIAN', 'ROBERTA', 'HOLLY', 'BRITTANY', 'MELANIE', 'LORETTA',
	'YOLANDA', 'JEANETTE', 'LAURIE', 'KATIE', 'KRISTEN', 'VANESSA', 'ALMA',
	'SUE', 'ELSIE', 'BETH', 'JEANNE', 'VICKI', 'CARLA', 'TARA', 'ROSEMARY',
	'EILEEN', 'TERRI', 'GERTRUDE', 'LUCY', 'TONYA', 'ELLA', 'STACEY', 'WILMA',
	'GINA', 'KRISTIN', 'JESSIE', 'NATALIE', 'AGNES', 'VERA', 'WILLIE', 'CHARLENE',
	'BESSIE', 'DELORES', 'MELINDA', 'PEARL', 'ARLENE', 'MAUREEN', 'COLLEEN',
	'ALLISON', 'TAMARA', 'JOY', 'GEORGIA', 'CONSTANCE', 'LILLIE', 'CLAUDIA',
	'JACKIE', 'MARCIA', 'TANYA', 'NELLIE', 'MINNIE', 'MARLENE', 'HEIDI', 'GLENDA',
	'LYDIA', 'VIOLA', 'COURTNEY', 'MARIAN', 'STELLA', 'CAROLINE', 'DORA',
	'JO', 'VICKIE', 'MATTIE', 'TERRY', 'MAXINE', 'IRMA', 'MABEL', 'MARSHA',
	'MYRTLE', 'LENA', 'CHRISTY', 'DEANNA', 'PATSY', 'HILDA', 'GWENDOLYN',
	'JENNIE', 'NORA', 'MARGIE', 'NINA', 'CASSANDRA', 'LEAH', 'PENNY', 'KAY',
	'PRISCILLA', 'NAOMI', 'CAROLE', 'BRANDY', 'OLGA', 'BILLIE', 'DIANNE',
	'TRACEY', 'LEONA', 'JENNY', 'FELICIA', 'SONIA', 'MIRIAM', 'VELMA', 'BECKY',
	'BOBBIE', 'VIOLET', 'KRISTINA', 'TONI', 'MISTY', 'MAE', 'SHELLY', 'DAISY',
	'RAMONA', 'SHERRI', 'ERIKA', 'KATRINA', 'CLAIRE', 'LINDSEY', 'LINDSAY',
	'GENEVA', 'GUADALUPE', 'BELINDA', 'MARGARITA', 'SHERYL', 'CORA', 'FAYE',
	'ADA', 'NATASHA', 'SABRINA', 'ISABEL', 'MARGUERITE', 'HATTIE', 'HARRIET',
	'MOLLY', 'CECILIA', 'KRISTI', 'BRANDI', 'BLANCHE', 'SANDY', 'ROSIE', 'JOANNA',
	'IRIS', 'EUNICE', 'ANGIE', 'INEZ', 'LYNDA', 'MADELINE', 'AMELIA', 'ALBERTA',
	'GENEVIEVE', 'MONIQUE', 'JODI', 'JANIE', 'MAGGIE', 'KAYLA', 'SONYA', 'JAN',
	'LEE', 'KRISTINE', 'CANDACE', 'FANNIE', 'MARYANN', 'OPAL', 'ALISON', 'YVETTE',
	'MELODY', 'LUZ', 'SUSIE', 'OLIVIA', 'FLORA', 'SHELLEY', 'KRISTY', 'MAMIE',
	'LULA', 'LOLA', 'VERNA', 'BEULAH', 'ANTOINETTE', 'CANDICE', 'JUANA', 'JEANNETTE',
	'PAM', 'KELLI', 'HANNAH', 'WHITNEY', 'BRIDGET', 'KARLA', 'CELIA', 'LATOYA',
	'PATTY', 'SHELIA', 'GAYLE', 'DELLA', 'VICKY', 'LYNNE', 'SHERI', 'MARIANNE',
	'KARA', 'JACQUELYN', 'ERMA', 'BLANCA', 'MYRA', 'LETICIA', 'PAT', 'KRISTA',
	'ROXANNE', 'ANGELICA', 'JOHNNIE', 'ROBYN', 'FRANCIS', 'ADRIENNE', 'ROSALIE',
	'ALEXANDRA', 'BROOKE', 'BETHANY', 'SADIE', 'BERNADETTE', 'TRACI', 'JODY',
	'KENDRA', 'JASMINE', 'NICHOLE', 'RACHAEL', 'CHELSEA', 'MABLE', 'ERNESTINE',
	'MURIEL', 'MARCELLA', 'ELENA', 'KRYSTAL', 'ANGELINA', 'NADINE', 'KARI',
	'ESTELLE', 'DIANNA', 'PAULETTE', 'LORA', 'MONA', 'DOREEN', 'ROSEMARIE',
	'ANGEL', 'DESIREE', 'ANTONIA', 'HOPE', 'GINGER', 'JANIS', 'BETSY', 'CHRISTIE',
	'FREDA', 'MERCEDES', 'MEREDITH', 'LYNETTE', 'TERI', 'CRISTINA', 'EULA',
	'LEIGH', 'MEGHAN', 'SOPHIA', 'ELOISE', 'ROCHELLE', 'GRETCHEN', 'CECELIA',
	'RAQUEL', 'HENRIETTA', 'ALYSSA', 'JANA', 'KELLEY', 'GWEN', 'KERRY', 'JENNA',
	'TRICIA', 'LAVERNE', 'OLIVE', 'ALEXIS', 'TASHA', 'SILVIA', 'ELVIRA', 'CASEY',
	'DELIA', 'SOPHIE', 'KATE', 'PATTI', 'LORENA', 'KELLIE', 'SONJA', 'LILA',
	'LANA', 'DARLA', 'MAY', 'MINDY', 'ESSIE', 'MANDY', 'LORENE', 'ELSA', 'JOSEFINA',
	'JEANNIE', 'MIRANDA', 'DIXIE', 'LUCIA', 'MARTA', 'FAITH', 'LELA', 'JOHANNA',
	'SHARI', 'CAMILLE', 'TAMI', 'SHAWNA', 'ELISA', 'EBONY', 'MELBA', 'ORA',
	'NETTIE', 'TABITHA', 'OLLIE', 'JAIME', 'WINIFRED', 'KRISTIE']
	# sample dictionary with just 4 key-value pairs
	scrabble_scores = { 'A':1, 'B':2, 'C':3, 'D':2 }
	# function that returns Scrabble score, given a letter str
	def get_letter_score(letter):
	return scrabble_scores[letter]
	# function that returns Scrabble score given a word str
	def get_word_score(word):
	score = 0
	for letter in word:
	score += get_letter_score(letter)
	return score
	# main body
	print( get_word_score('BAD') )
	print( get_word_score('DADA') )

Project Description In the popular game called Scrabble, each letter of the English alphabet has a particular score as described in the table below: The Scrabble score of a word is the sum of the scores of its letters. Thus, the words 'ANT', 'QUIZ', and 'APPLE' are scored in the following way: ANT=A+N+T=1+1+1=3 QUIZ=Q+U+I+Z=10+1+1+10=22 APPLE=A+P+P+L+E=1+3+3+1+1=9 For this project you will be provided with a list of 500 common names in main.py Complete the Python program so that it prints the sum of Scrabble scores of all names from that list that has the following properties: The names have at most two unique letters in common with your 7 letter unique word. As an example, if your word is ORCHIDS, then the name MARY matches this condition (because 1 unique letter -- R - - is common) and should be considered when computing the Scrabble score sum. Similarly, MARCY also matches (because two unique letters, R and C are common). The name JERRY also matches this condition (because R is uniquely common to both). However, the name PATRICIA does not match (R,I,C are 3 unique letters common with ORCHIDS). Here are some recommendations: - You are free to use your own functions. A function can be written that returns the Scrabble score of a single letter -- and it has been provided. Another function can be written that returns the Scrabble score of a word -this has also been provided. - You may use a dictionary that is populated with key-value pairs of letters and their corresponding Scrabble score. A sample dictionary has been provided to help you get started. You need to populate further for all other letters. - Make sure you print the sum and nothing else. Comment out all other print statements