1

00:00:00,390 --> 00:00:09,930

So as you can say here in lower number 69 here we have actually this value rose of spottiness in animalcules.



2

00:00:09,990 --> 00:00:16,530

So here as you can see we actually declared this valuable here inside our class as you can see here



3

00:00:17,430 --> 00:00:21,920

rows of spottiness in animalcules in Lima in line number 42.



4

00:00:22,140 --> 00:00:25,520

So this is actually an average of linear layouts right.



5

00:00:25,620 --> 00:00:31,550

An average of linearly else and then Aimee's rows of just spottiness in an animal quiz.



6

00:00:31,710 --> 00:00:33,490

So what do I mean by this.



7

00:00:33,660 --> 00:00:37,760

Let's actually go inside our fragment underly minute minute example here.



8

00:00:37,920 --> 00:00:38,980

As you can see.



9

00:00:39,240 --> 00:00:46,380

So now let me actually go inside this Design tab as you can see here we have some linearly outs here



10

00:00:46,470 --> 00:00:48,360

as you can see this is the first one.



11

00:00:48,510 --> 00:00:50,280

This is the second one and this is the first one.



12

00:00:50,280 --> 00:00:54,810

So as you can see here these are horizontal linearly outs right.



13

00:00:55,110 --> 00:01:01,890

And these linear layouts actually hold buttons each linearly out here actually holds two buttons.



14

00:01:01,890 --> 00:01:03,480

The first one Hold hold.



15

00:01:03,510 --> 00:01:05,000

Actually these two buttons.



16

00:01:05,040 --> 00:01:12,530

The second linearly out here as you can see hold these up these two buttons and the first linear layout



17

00:01:12,570 --> 00:01:15,770

here holds these two buttons.



18

00:01:15,810 --> 00:01:21,300

So if they actually go back inside our main activity AFFREIGHTMENT out of a fight here as you can see



19

00:01:21,390 --> 00:01:29,070

I actually declare an array of these Lilja it's rows of buttons in animalcules.



20

00:01:29,070 --> 00:01:35,600

So now as you can see here in line number 69 I am actually initialising that right here.



21

00:01:35,790 --> 00:01:44,040

So the rows of spottiness in animalcules assignment operator new linearly out and here as you can see



22

00:01:44,040 --> 00:01:50,150

because we are actually initialising and at a minute to actually specify the size right.



23

00:01:50,280 --> 00:01:52,560

So the size of this area is going to be free.



24

00:01:52,770 --> 00:01:59,700

And this means that we can actually assign three values of type linearly out to these three rows of



25

00:01:59,700 --> 00:02:02,020

just spottiness in animalcules right.



26

00:02:02,190 --> 00:02:08,790

So here I am specifying the size of this Auret which actually can actually only hold the values of type



27

00:02:08,790 --> 00:02:09,660

linear left.



28

00:02:09,660 --> 00:02:13,440

This is very important and in line number 70 here.



29

00:02:13,470 --> 00:02:17,630

As you can see again I referred to the name of this at a here.



30

00:02:17,770 --> 00:02:21,070

Rows of good spot in Animal cookies.



31

00:02:21,390 --> 00:02:22,340

And then here.



32

00:02:22,490 --> 00:02:26,490

Inside the brackets I actually assigned value 0.



33

00:02:26,550 --> 00:02:32,120

And this means that it's going to actually go inside the index number zero of this at a loss of just



34

00:02:32,210 --> 00:02:33,520

buttons in animalcules.



35

00:02:33,540 --> 00:02:39,570

So in line number 69 you are actually initializing this at a and b are saying that the size of this



36

00:02:39,630 --> 00:02:40,910

array is going to be free.



37

00:02:41,040 --> 00:02:44,930

But we haven't assigned any values to this area yet.



38

00:02:44,970 --> 00:02:51,550

So this is going to be an empty arayed that can only hold free values of type linear layout.



39

00:02:51,560 --> 00:02:58,380

Right but a low number 70 here I want to actually initialize or I mean to assign a value to the index



40

00:02:58,380 --> 00:03:00,610

zero of this outbreak.



41

00:03:00,630 --> 00:03:04,340

So Rose of spottiness in animalcules Sub-Zero.



42

00:03:04,410 --> 00:03:08,190

So it's going to go inside the index zero of this area here.



43

00:03:08,280 --> 00:03:10,470

Rows of spottiness in animalcules.



44

00:03:10,470 --> 00:03:12,690

And then I put an assignment operator here.



45

00:03:12,690 --> 00:03:14,750

So you want to assign a value here right.



46

00:03:14,960 --> 00:03:17,810

I want to assign a value to the index zero of this ID.



47

00:03:17,850 --> 00:03:25,380

So here I am actually thinking about you two are linearly out view that's fine to view by ID as you



48

00:03:25,380 --> 00:03:30,570

can see here are that Alte that first row linearly out.



49

00:03:30,570 --> 00:03:35,100

So if we actually go back inside are actually a fragment.



50

00:03:35,120 --> 00:03:41,160

Underline many of them in here as you can see the first linearly out here as you can see the idea of



51

00:03:41,160 --> 00:03:46,920

the first linearly and here at the bottom left hand side you can see inside is componentry section.



52

00:03:46,920 --> 00:03:49,690

Here it says first linearly.



53

00:03:49,890 --> 00:03:53,670

So this is the 80 of these linearly out here right.



54

00:03:53,700 --> 00:03:59,170

Or inside the properties section you can see that it says the idea is first row linearly out.



55

00:03:59,370 --> 00:04:06,040

So are you going to actually assign this linearly out here to that as a main activity fragment.



56

00:04:06,080 --> 00:04:08,630

And as you can see I am actually referring to that ID.



57

00:04:08,820 --> 00:04:17,080

So the index 0 of these are a holds this value first roll linearly out and in line number 71.



58

00:04:17,100 --> 00:04:18,660

Again we are doing the same thing.



59

00:04:18,750 --> 00:04:24,510

But instead we want to actually assign a value to their index number one of these at a.



60

00:04:24,550 --> 00:04:29,790

So those of guess spottiness in animal cuius index 0.



61

00:04:30,180 --> 00:04:30,660

Excuse me.



62

00:04:30,660 --> 00:04:31,770

Index number one.



63

00:04:31,980 --> 00:04:37,670

So those of spottiness in animal animalcules index number one assignment operator.



64

00:04:37,680 --> 00:04:45,590

So here I am actually testing disvalue to a linearly out of you that find view by ID or thought Id that



65

00:04:45,630 --> 00:04:47,870

second row linearly out.



66

00:04:48,000 --> 00:04:51,570

So if I go back and say this fragment underline minute example here.



67

00:04:52,050 --> 00:04:54,630

And if I select this second row linearly out here.



68

00:04:54,660 --> 00:04:58,980

Now as you can see the ID is second row linearly out.



69

00:04:59,400 --> 00:05:02,950

So go back inside our main activity frypan that of a file.



70

00:05:03,070 --> 00:05:05,170

And again in line number 72.



71

00:05:05,380 --> 00:05:09,790

I want to actually assign a value to the index number two of this at 8.



72

00:05:09,820 --> 00:05:15,110

So as you can see here this array holds a free reduce right the size of this area is free.



73

00:05:15,250 --> 00:05:17,740

So the index number 0 1 2.



74

00:05:17,960 --> 00:05:22,900

So rows of spottiness in animal animalcules stop number two assignment operator.



75

00:05:22,960 --> 00:05:29,500

Here again I am casting this value into a linear layout view that's fine view by ID are that Id dot



76

00:05:29,770 --> 00:05:35,480

first row linearly out and then here as you can see in line number 73.



77

00:05:35,530 --> 00:05:39,550

I am actually initializing DCX the answer.



78

00:05:39,570 --> 00:05:41,860

CTX the answer assignment operator.



79

00:05:41,860 --> 00:05:47,890

And here I am Chastity's ready to take a few feet view that find your ID are that ID that makes the



80

00:05:47,890 --> 00:05:49,340

answer right.



81

00:05:49,660 --> 00:05:51,820

So hopefully that makes sense.



82

00:05:51,820 --> 00:05:56,860

So now I am going to pasting some more lines of code here and then I'm going to explain to you what's



83

00:05:56,860 --> 00:05:58,010

going on here.



84

00:05:58,330 --> 00:06:02,910

So as you can see here these are the lines of code that I pasted here.



85

00:06:03,070 --> 00:06:09,400

So here as you can see we have a for loop and I want to either get all of the values that we have inside



86

00:06:09,400 --> 00:06:11,780

these rows of your spottiness in animalcules.



87

00:06:11,830 --> 00:06:13,030

Great as you can see here.



88

00:06:13,030 --> 00:06:16,960

So these are a as you can see Holts values of type linearly.



89

00:06:17,020 --> 00:06:17,580

Right.



90

00:06:17,620 --> 00:06:22,070

So as you can see I want to actually iterate over the values of this area.



91

00:06:22,090 --> 00:06:27,760

So I created a variable here linearly out and the name is a row and this row is going to actually go



92

00:06:27,760 --> 00:06:34,640

inside this array and it's going can actually execute the lines of code inside is for loop here.



93

00:06:34,780 --> 00:06:44,170

Once for each values of dollar inside of this rate this volume is going to be executed right for each



94

00:06:44,170 --> 00:06:50,140

row for each value that we have inside is a loss of your spot hands in animalcules at 8.



95

00:06:50,210 --> 00:06:52,160

This for loop is going to be executed.



96

00:06:52,520 --> 00:06:58,340

And now as you can see again inside this for loop we have another for loop here.



97

00:06:58,360 --> 00:07:04,900

So for into column and index 0 as you can see here so as you can see I actually created a value which



98

00:07:04,900 --> 00:07:10,690

is an integer and initially I assigned the value zero to this valuable.



99

00:07:10,990 --> 00:07:16,750

And then here I am specifying the condition in which in is going to actually determine that how many



100

00:07:16,750 --> 00:07:19,680

times this volume is going to be executed.



101

00:07:19,870 --> 00:07:27,460

So until the value of this column variable here is actually less than the value of the child count of



102

00:07:27,460 --> 00:07:28,740

this row.



103

00:07:28,780 --> 00:07:35,080

So as you can see here if you have a linear layout you're right and linear layouts are actually view



104

00:07:35,080 --> 00:07:35,920

groups.



105

00:07:35,920 --> 00:07:42,790

And that means that view groups that can actually hold tight or loops can actually hold tides and we



106

00:07:42,790 --> 00:07:45,760

can actually refers to those choices.



107

00:07:45,880 --> 00:07:51,490

And as you can see here linearly out and this alone is of type linearly out and it's going to iterate



108

00:07:51,520 --> 00:07:52,960

over the values of this address.



109

00:07:52,960 --> 00:07:56,820

So for example the first value is index 0 right.



110

00:07:56,860 --> 00:08:03,370

The first the first value that we have inside these rows of spottiness in animalcules array is actually



111

00:08:03,950 --> 00:08:06,720

a value that is assigned in index 0 of this at a rate.



112

00:08:06,730 --> 00:08:10,070

So now this row number is zero.



113

00:08:10,300 --> 00:08:12,920

And then it's going to go inside this for loop here.



114

00:08:13,210 --> 00:08:16,210

And as you can see here the column is zero.



115

00:08:16,270 --> 00:08:21,600

And it says until the column is less than the child count of this low.



116

00:08:21,850 --> 00:08:26,890

So this means what is going to be the children of that throw.



117

00:08:26,890 --> 00:08:32,290

So for example let me actually go inside this fragment underline minute exam and here as you can see



118

00:08:32,290 --> 00:08:33,270

for example look at this.



119

00:08:33,290 --> 00:08:37,310

The row here this row actually holds these two buttons.



120

00:08:37,480 --> 00:08:46,060

And this means that this row this linearly and here is the parent of these buttons or in other words



121

00:08:46,420 --> 00:08:52,800

these two buttons are actually highlights of this linearly out of this row.



122

00:08:52,810 --> 00:08:58,520

So we have this throw this rule as you can see here and this through the have three rows here.



123

00:08:58,840 --> 00:09:04,150

So if I actually go inside this main activity fragment out of a fight here I am actually creating a



124

00:09:04,150 --> 00:09:04,740

row.



125

00:09:04,780 --> 00:09:10,490

I am actually creating a for loop in order to go inside that those rows and then I want to go actually



126

00:09:10,490 --> 00:09:14,610

the inside two rows in order to get the children of those rows.



127

00:09:14,620 --> 00:09:21,780

So this column is less than that get child count and after each execution of this for loop it going



128

00:09:21,800 --> 00:09:25,530

actually increment the value of this column by 1.



129

00:09:25,540 --> 00:09:33,190

So for example let's go step by step here for example the first value that we have inside is rows of



130

00:09:33,220 --> 00:09:37,770

guest buttons in animal quiz is actually the value that is assigned in index 0.



131

00:09:37,780 --> 00:09:41,710

So the value that is assigned in index 0 is first row linearly.



132

00:09:41,730 --> 00:09:42,380

Right.



133

00:09:42,430 --> 00:09:48,060

And if I go back inside this fragment on the last minute its image you can see that the first row linearly



134

00:09:48,180 --> 00:09:49,000

is this row.



135

00:09:49,180 --> 00:09:55,810

So now let's go back inside our main activity fragment the job file here and now we have this row here.



136

00:09:55,810 --> 00:10:01,710

So now this row is going to be that first value that first linearly out and then it's going to actually



137

00:10:01,710 --> 00:10:02,900

go inside the loop.



138

00:10:03,000 --> 00:10:07,110

So here we have a column which initially it is assigned the value zero.



139

00:10:07,330 --> 00:10:13,200

And then this is going to this fall appeal is going to be executed until this column is actually less



140

00:10:13,200 --> 00:10:20,670

than the value of the height count of that specific flow of that first linearly out and then it's going



141

00:10:20,670 --> 00:10:25,410

to actually increment discolored by one after each execution of this for loop.



142

00:10:25,740 --> 00:10:33,840

And as you can see here we have this Actually we have created a bottom here about an object so Potten



143

00:10:34,080 --> 00:10:37,280

and the name is PTEN guess assignment operator.



144

00:10:37,290 --> 00:10:41,180

And here I am actually casting this object to a button object.



145

00:10:41,340 --> 00:10:43,950

And now I am referring to this law here.



146

00:10:43,960 --> 00:10:44,380

Right.



147

00:10:44,400 --> 00:10:50,260

Roll that get child at column.



148

00:10:50,410 --> 00:10:50,820

Right.



149

00:10:50,840 --> 00:10:54,480

So for example initially the Cullom is assigned the value zero.



150

00:10:54,560 --> 00:10:55,160

Right.



151

00:10:55,190 --> 00:11:00,530

So a row that gets the child at Cullom means that it's going to actually go inside that.



152

00:11:00,560 --> 00:11:02,880

For example this is first linearly.



153

00:11:02,920 --> 00:11:03,480

Right.



154

00:11:03,500 --> 00:11:07,450

So the first rule in it linearly out here inside is BRAITMAN underline minute exam.



155

00:11:07,460 --> 00:11:13,970

Here we have this first row Linnea lay out and the first child is this part in here.



156

00:11:13,970 --> 00:11:15,020

This is the first right.



157

00:11:15,050 --> 00:11:21,120

This is the child that is actually inside of the index zero of these nonlinearly out.



158

00:11:21,350 --> 00:11:27,370

And this is the child that is actually the inside of the index number of one of these linearly out.



159

00:11:27,680 --> 00:11:32,710

And that's why you can see that inside this main activity fragment that a file.



160

00:11:32,720 --> 00:11:37,060

Here we are saying that the row that a child at index column.



161

00:11:37,080 --> 00:11:40,070

So in this column 0 is this column right.



162

00:11:40,340 --> 00:11:43,260

And it is going to actually do something with that button.



163

00:11:43,280 --> 00:11:45,060

So between guess that said Uncle Nicholas.



164

00:11:45,060 --> 00:11:48,770

And so here I am actually making that button a listener.



165

00:11:48,800 --> 00:11:52,190

So if I go back and say this fragment underline minute it's him in here.



166

00:11:52,210 --> 00:11:56,950

Here I am actually making disputant a listener to the clicks of the user.



167

00:11:56,950 --> 00:12:03,530

And then here I actually put this value so we haven't created a listener for this button here so we



168

00:12:03,530 --> 00:12:09,560

need to create that one later in our code but for now just put this value here and here as you can see



169

00:12:09,560 --> 00:12:14,080

I am saying that PTEN guess that set text size 24.



170

00:12:14,330 --> 00:12:20,900

So here I am actually specifying the size of the spot in this specific spot in the button that is inside



171

00:12:20,900 --> 00:12:23,590

of the index 0 of that actually row.



172

00:12:23,600 --> 00:12:26,300

So between guess that's a text size 24.



173

00:12:26,810 --> 00:12:35,480

And then after the after the end in a code after this for loop is actually executed it's going to actually



174

00:12:35,520 --> 00:12:39,440

to go inside this pull up here and it's going actually to take this condition here.



175

00:12:39,590 --> 00:12:41,980

It's going to actually look at this column here.



176

00:12:42,200 --> 00:12:47,120

And as you can see because the value of the column of value is now incremented by 1.



177

00:12:47,240 --> 00:12:49,360

It's going to check this condition here again.



178

00:12:49,520 --> 00:12:57,660

So number one is less than the value of the Get child count of the throw because each draw has two buttons.



179

00:12:57,680 --> 00:13:00,110

So number one is less than number two right.



180

00:13:00,110 --> 00:13:05,720

So this expression here evaluates to true and then again it's going to execute the lines of code inside



181

00:13:05,720 --> 00:13:09,920

these buttons for the second button that we have inside this row.



182

00:13:09,950 --> 00:13:11,530

This is our second button right.



183

00:13:11,640 --> 00:13:16,940

And now as you can see here after this group is executed again it can actually add one value to the



184

00:13:16,940 --> 00:13:17,960

value of this column.



185

00:13:17,990 --> 00:13:20,430

And then again it's going to check this condition here.



186

00:13:20,450 --> 00:13:23,840

So now because the value of this color is now number two.



187

00:13:23,990 --> 00:13:30,130

Right because the value of this column is now number two and number two is not less than number two



188

00:13:30,140 --> 00:13:36,230

because the child count of each low is to write each of those as you can see here inside this linear



189

00:13:36,240 --> 00:13:41,490

layout as you can see each rose has actually two buttons.



190

00:13:41,540 --> 00:13:43,130

This law has two buttons.



191

00:13:43,130 --> 00:13:45,670

This rule has two buttons and this rule has two buttons.



192

00:13:45,770 --> 00:13:51,350

And as you can see here because now the value of the column is not actually less than the value of the



193

00:13:51,350 --> 00:13:56,540

Get child count two is not the start get to count then then this is not going to be executed.



194

00:13:56,540 --> 00:13:59,660

And again it's going to actually go inside this.



195

00:13:59,960 --> 00:14:05,960

Here this fall loop is the apprentice's of this for a loop and now it's going to increment the value



196

00:14:05,960 --> 00:14:08,090

of these for example.



197

00:14:08,120 --> 00:14:11,870

Now the value of this row is going to be index number one.



198

00:14:12,140 --> 00:14:12,720

Right.



199

00:14:12,860 --> 00:14:18,860

So this for loop here as you can see is going to be executed for each row that we have inside this loads



200

00:14:18,860 --> 00:14:21,950

of spot and guest buttons in animalcules.



201

00:14:21,950 --> 00:14:27,170

So now this row is going to be the road that is inside that is inside of the index number one of this



202

00:14:27,170 --> 00:14:27,770

at.



203

00:14:28,160 --> 00:14:32,240

And then it's going to again check this condition and then it again is going to execute these lines



204

00:14:32,240 --> 00:14:34,210

of code for that specific rule.



205

00:14:34,440 --> 00:14:34,840

Right.



206

00:14:34,850 --> 00:14:41,480

As you can see we have three rows and we need to actually use codes used those codes for these other



207

00:14:41,480 --> 00:14:43,160

those two.



208

00:14:43,220 --> 00:14:45,280

So hopefully that makes sense.