Activity 2. Matching Pairs (10 points) Directions. Match each word on the left column with its definition or function on the right column. Write the letter of your answer on the space provided before the number. Column A Column B 1. Line weight A. It specifies the color of the selected layers. 2. ON/OFF B. It sets the selected layer as the current layer 3. Alt + C C. It creates a layer with a default name that you can immediately change. 4. Lock D. It controls whether the selected layers are plotted. 5. Freeze E. This tool specifies the line weight for the selected layers. 6. New Layer F. It locks and unlocks the selected layers. Frozen in All G. It creates a new layer and freezes it in all Viewports existing layout viewports. 7. Alt +N H. It turns the layer On or Off. 8. Color 1. It specifies the line type for the selected layers. 9. Plot J. It specifies the line weight for the selected layers. 10. Line Type K. This tool freezes the selected layers. VI. References: 0000 non1 Tintures | Autodesk"

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'.

Hello my name is mihai and i need your : )i have to do a python project in computer science and i’m really busy with my mocks this period of time besides this i’m not good at coding so could someone pls pls pls sort me out ? i actually beg ; ))

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