The following code chunk generates a data set of size n of realizations of the random variables u, x and y. Throughout the exercise, do not modify the set.seed(123) line. set.seed (123) n <- 20 u <- rnorm(n) X <- rnorm(n, mean = 10, sd = 0.5) beta_0 <- 5 beta_1 <- 10 y <- beta_0 + beta_1*x + u

The following code chunk generates a data set of size n of realizations of the random variables u, x and y. Throughout the exercise, do not modify the set.seed(123) line. set.seed (123) n <- 20 u <- rnorm(n) X <- rnorm(n, mean = 10, sd = 0.5) beta_0 <- 5 beta_1 <- 10 y <- beta_0 + beta_1*x + u

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Design and implement a service that simulates PHP loops. Each of the three loop variants should be encapsulated in an object. The service can be controlled via a parameter and execute three different simulations. The result is returned as JSON. The input is an array consisting of the letters $characters = [A-Z]. -The For loop should store all even letters in an array.-The Foreach loop simulation is to create a backward sorted array by For loop, i.e. [Z-A] .-The While loop should write all characters into an array until the desired character is found. Interface:-GET Parameter String: loopType ( possible values: REVERSE, EVEN, UNTIL )-GET parameter String: until (up to which character) Output:JSON Object: {loopName: <string>, result: <array> }
Q4/Full the following blanks (1101 1010)BCD(5211) = ( )BCD(3321)=()EX-3=()16 * (1101 1010)BCD(5211) = (1110 1100)BCD(3321)=(1010110)EX-3= (A6)16 (1101 1010)BCD(5211) = (1110 0111)BCD(3321)=(1011001)EX-3= (56)16 (1101 1010)BCD(5211) = (1101 0111)BCD(3321)=(1011001)EX-3= (2B)16 (1101 1010)BCD(5211) = (1011 1110)BCD(3321)=(1000111)EX-3= (44)16 None of them II
# Pytorch Deep Learning(python) # Answer according following code import numpy as np import json img_codes = np.load("data/image_codes.npy") captions = json.load(open('data/captions_tokenized.json')) for img_i in range(len(captions)): for caption_i inrange(len(captions[img_i])): sentence = captions[img_i][caption_i] captions[img_i][caption_i] = ["#START#"] + sentence.split(' ') + ["#END#"] # Build a Vocabulary from collections import Counter word_counts = Counter() # Compute word frequencies for each word in captions. See code above for data structure # YOUR CODE HERE #Check your solution below and Testing condition:- vocab = ['#UNK#', '#START#', '#END#', '#PAD#'] vocab += [k for k, v in word_counts.items() if v >= 5 if k not in vocab] n_tokens = len(vocab) assert 10000 <= n_tokens <= 10500 #for reference and more detail go to --->…
251e def intersection (self, source): 252e 253 254 Efficiency: 255 Returns a new set with only the values that appear in both self and source. 256 257 258 Maximum size of target Set is the smaller of the maximum sizes of 259 self and source. 260 Use: target = self.intersection(source) 261 262 Parameters: 263 source - a set (Set) 264 Returns: 265 target - a set containing one copy of all the values that appear in both self and source (Set) 266 267 268 Examples: (1,2,3) intersection (3,2,1) is (1,2,3) (1,2,3) intersection (4,5,6) is () (1,2,3,4,5,6) intersection (0,2,4,6,8) is (2,4,6) 269 270 271 272 273 274
int binsearch (int X , int V [] , int n ) { int low , high , mid , i ; low = 0; high = n - 1; for ( i = 0; i < high ; i ++) { if( V[ i ] > V [ i +1]) return -2; } while ( low <= high ) { mid = ( low + high )/2; if ( X < V [ mid ]) high = mid - 1; else if ( X > V [ mid ]) low = mid + 1; else return mid ; } return -1; } This code takes as input a sorted array V of size n, and an integer X, if X exists in the array it will return the index of X, else it will return -1. 1. Draw a CFG for binsearch(). 2. From the CFG, identify a set of entry–exit paths to satisfy the complete statement coverage criterion. 3. Identify additional paths, if necessary, to satisfy the complete branch coverage criterion. 4. For each path identified above, derive their path predicate…
FI 2 Overview S To demonstrate you can implement the microservices architecture, write software comprised of three separate programs: W F2 7x 1. A program that generates pseudo-random numbers (PRNG Service) 2. A program that, given a non-negative integer i, returns the ith image in a set (order doesn't matter) (Image Service) If i is the number of images, modulo i by the size of the image set 3. A user interface (UI) that either has a button or can receive a user command. When the button is pushed or the command is entered... Programs can be written in any language(s). (a) UI calls the PRNG Service (b) UI calls the Image Service using the pseudo-random number from the PRNG Service (c) UI displays the image (or a path to it) Use any set of images (e.g., downloaded from https://www.kaggle.com/). Store images locally in a folder; no API calls needed. No DB needed. Requirements UI must either have a button (if UI is graphical) or be able to receive a user command (if UI is text-based) # 3…
Create a list of 20 random grades between 0 and 100. Write the code for a filtering that generates a list of grades that are A or B only (80<= grades <<100). Use filtering and lambda to create the auxiliary function.
2770 def difference(self, source): 278 279 A280 Efficiency: 281 Return a set that contains the items that only exist in self and not in source. 282 283 Maximum size of target Set is the maximum size of self. Use: target = self.difference(source) 284 285 286 287 Parameters: 288 source - a set (Set) 289 Returns: - a set containing one copy of all the values target in self that are not in source (Set) 290 291 292 Examples: (1,2,3) difference (3,2,1) is () (1,2,3) difference (4,5,6) is (1,2,3) (1,2,3,4,5,6) difference (0,2,4,6,8) is (1,3,5) 293 294 295 296 297 298 299 300 # your code here
Create a list of 20 random grades between 0 and 100. Write the code for filtering that generates a list of grades that are A or B only (80<= grades <<100). Use filtering and lambda to create the auxiliary function. Example: [95, 19, 96, 69, 61, 72, 57, 85, 56, 75, 53, 23, 33, 94, 39, 96, 48, 49, 54, 90] Output: [95, 96, 85, 94, 96, 90] Make sure you generate random as required numbers. Don't take input
def strPattern(mystr):lenght = len(mystr)mystr1 = ""for i in range(lenght - 1):mystr1 = mystr1 + mystr[i].upper() + str(i + 1)if lenght == 0:return mystr1return mystr1 + mystr[-1].upper()s = input("enter a word: ")print(strPattern(s)) s = input("enter a word: ") EOFError: EOF when reading a line HOW CAN I FIX THIS QUESTION?
Hef sharks_minnows (minnows, sharks): shark_count = 0 minnow_count = len (minnows) for i in range(minnow_count): curr_shark_height = minnows [i] if curr_shark_height is not None: minnows [i] = None for j in range (i + 1, minnow_count): if minnows [j] == curr_shark_height: minnows [j] = None curr_shark_height -- 1 shark_count += 1 return shark_count <= sharks The provided code is imperfect, in that it sometimes returns True when it should return False, and sometimes returns False when it should return True. (a) Provide an example of a function call where the provided code will correctly return True (i.e. a True Positive) (b) Provide an example of a function call where the provided code will correctly return False (i.e. a True Negative) (c) Provide an example of a function call where the provided code will incorrectly return True (i.e. a False Positive) (d) Provide an example of a function call where the provided code will incorrectly return False (i.e. a False Negative)
Instrument FrequencyCounter to use Stopwatch and StdDraw to make a plot where the x-axis is the number of calls on get() or put() and the y-axis is the total running time, with a point plotted of the cumulative time after each call. Run your program for Tale of Two Cities using SequentialSearchST and again using BinarySearchST and discuss the results. Note : Sharp jumps in the curve may be explained by caching, which is beyond the scope of this question.