FLIGHT = ( FlightN, FromCity, ToCity, Date, DepartureTime, ArrivalTime ) //. You may use <, >, !=, or = between any two dates or between any two times. Also, you may assume the attribute Date = arrival date= departure date and that ToCity and FromCity are in the same time zone. TICKET = ( TicketN, FlightN, Cost, Completed ) // Since Ticket# and Flight# together are the key, this means a single ticket may include several flights. Completed may assume the values ‘Yes’ or NULL, Null means the flight hasn’t been completed.
PASSENGER = ( Name , TicketN ) // This table includes every passenger and the ticket numbers he or she purchased. Assume the name of the passenger is unique.
Express the following queries by SQl statements using a minimum number of tables and operations:
1. List every possible flight schedule from "LA’ to "NY" with only one stop. The flight schedule includes DepartureTime time from LA, Name of a stop city, ArrivalTime to the stop, DepartureTime from the stop, ArrivalTime to NY. Assume both flights are on the same date.
2. Retrieve the names of every passenger and total amount paid for the tickets he/she purchased.
3. Retrieve the names of all passengers who have traveled to "LA’ at most two times. .

Your task this week is to write a very simple spam classifier in python. it will classify messages as either spam (unwanted) or ham (wanted). the program will have a set of spam_words, words that are known to appear in spam messages. that set is included in the template file spam. pypreview the document. you will also define a spam threshold which reflects the allowed percentage of spam words in the message. you'll compute a 'spam indicator', which is the ratio of spam words to the total number of unique words in the message. if the spam indicator exceeds the spam threshold, the message is classified as spam. otherwise it is classified as ham. we'll assume that the spam threshold is a constant and has a value of 0.10. your program will prompt the user for a message and then will print the corresponding spam indicator with two decimal digits and the corresponding classification (spam or ham). the program will be case insensitive. the spam words are detected whether they are in lower case or upper case or mixed case. each word, spam or not, is counted once (even if it appears multiple times in the message.) the program will remove punctuation from the message before identifying the words and computing the spam indicator. for example '! ' must be identified as the spam word 'now'.

The more powerful, 60 volt cables and the main power shut-off on an hev are both colored orange.

Mastercard managers are motivated to increase (1) the number of individuals who have and use a mastercard credit card, (2) the number of banks and other clents who issue mastercards to customers and/or employees, and (3) the number of locations that accept mastercard payments. discuss how mastercard could use its data warehouse to it expand each of these customer bases.