day. If there is no # price data on a day, we know that price did not change on that day, so its takes the previous value. For example, for # game 730 (Counter-Strike: Global Offensive). The price was

day. If there is no # price data on a day, we know that price did not change on that day, so its takes the previous value. For example, for # game 730 (Counter-Strike: Global Offensive). The price was

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Try switching the joins pthread_join(tid2, NULL); pthread_join(tid1, NULL); Do you see any difference? Please report if and why you do or do not see any difference in terms of the randomness in the result of the shared resource. In the inc_dec_resource() function, implement mutual exclusion (pthread_mutex_lock) to ensure that the result becomes 0 every time when you execute your program. Put your updated code in the report (highlighted) and show your screenshot of the execution by running the script three time using $ time ./shared_resource_mutex. Hint: Your loop is incrementing/decrementing the resource which should be protected by each thread while it is executing that portion. #include <stdio.h> #include <pthread.h> #define iterations 300000000 long long shared_resource = 0; pthread_mutex_t mutex = PTHREAD_MUTEX_INITIALIZER; // Thread function to modify shared resource void* inc_dec_resource(void* arg){ //get the pointer from main thread and dereference it…
CREATE DATABASE COUNTRIES; USE COUNTRIES; DROP TABLE IF EXISTS `City`; CREATE TABLE `City` ( `ID` int(11) NOT NULL AUTO_INCREMENT, `Name` char(35) NOT NULL DEFAULT '', `CountryCode` char(3) NOT NULL DEFAULT '', `District` char(20) NOT NULL DEFAULT '', `Population` int(11) NOT NULL DEFAULT '0', PRIMARY KEY (`ID`) ) ENGINE=MyISAM AUTO_INCREMENT=4080 DEFAULT CHARSET=latin1; -- -- Dumping data for table `City` -- -- ORDER BY: `ID` INSERT INTO `City` VALUES (1,'Kabul','AFG','Kabol',1780000); INSERT INTO `City` VALUES (2,'Qandahar','AFG','Qandahar',237500); INSERT INTO `City` VALUES (3,'Herat','AFG','Herat',186800); INSERT INTO `City` VALUES (4,'Mazar-e-Sharif','AFG','Balkh',127800); INSERT INTO `City` VALUES (5,'Amsterdam','NLD','Noord-Holland',731200); INSERT INTO `City` VALUES (6,'Rotterdam','NLD','Zuid-Holland',593321); INSERT INTO `City` VALUES (7,'Haag','NLD','Zuid-Holland',440900); INSERT INTO `City` VALUES (3068,'Berlin','DEU','Berliini',3386667); INSERT INTO `City` VALUES…
The Finance team wants to calculate a VAT (8%) on the amount of the stay reservations in the database. However, the team wants to calculate the VAT after the discounts are applied on the prices. In addition, it is important to remember if there is no discount/offers, then the value is NULL in the TRAVELS table. Create a procedure called VATCalculator to calculate the VAT amount and return with the corresponding travel ID. In addition, execute the procedure to account for NULL values and send the respective result to the team. The VAT value should be rounded to 2 decimals.
Given below, what will be the result of the query?f(0, zero).f(f(0) , one) .f(f(f(X)), N): - f(X, N).?- fun(f(f(f (0))), R). a. R=zerob. R=onec. R= f(0)d. false
TODO 12 Let's now split our input data X and labels y into a train and test set using the train_test_split() function (docs). Here we'll use the 80-20 split rule where we use 80% of the data for training and 20% for testing. Lastly, we'll seed our split using the random_state keyword argument which will make sure we create the same split every time we run the function. Use the train_test_split() function to get a train and test split. Store the output into X_train, X_test, y_train, and y_test. Pass the required arguments X and y. Further specify we want to use 20% of the training data by setting the test_size keyword argument. Lastly, pass the keyword argument random_state=42 to set the random seed so we get the same split every time we run this code. Print the shape for X_train. Print the shape for y_train. Print the shape for X_test. Print the shape for y_test. # TODO 12.1X_train, X_test, y_train, y_test = todo_check([ (X_train.shape == (413, 29), 'X_train does not have the…
A table called "game1" contains three columns and twenty rows, but "game2" has the same column as game1 (ie 3) and fifteen rows. Both tables have 5 rows in common. What is the degree and cardinality of the resulting table if we take union?
You are a Data Scientist at United Health. You want to check if a patient will develop cancer based on smoking habits. Please write the R code to generate confusion matrix. Use the following details. After splitting the dataframe, we have test_cancer, and training_cancer. The outcome variable is develop_cancer.
MariaDB [dreamhome]> select * from Staff1; | staffNo | FName | 1Name | position | sex | Mary | Howe | | David | Ford | | Ann | Beech | Susan | Brand | Assistant | F Supervisor | M Assistant | F Manager | F | | John | White | Manager | M | Julie | Lee | Assistant | F | SA9 | SG14 | SG37 Find all staff fname and direct supervisor's fname. | SG5 | SL21 | SL41 | staff | supervisor | | Mary | Susan | David | Susan | Ann | Susan | Susan | John | Julie | John Output salary | branchNo | superno | | SG5 | SG5 | SG5 | DOB | | 1970-02-19 | 9000.00 | B007 | 1958-03-24 | 18000.00 | B003 | 1960-11-10 | 12000.00 | B003 1940-06-03 | 24000.00 | B003 | 1945-10-01 | 30000.00 | B005 | 1965-06-13 | 9000.00 | B005 SL21 | NULL | SL21