I have used the Inception-v3 network for transfer learning. The first 172 layers in the network are 'frozen'. But the Inception-v3 network only has 48 layers. Where did the 'extra' layers come from?
Thanks so much.
Actually inception module is bit more complicated. It doesn't have single branch. Later those multiple branches are concatenated into single branch. If you list all layers in keras you get this:
[ 1 ] <keras.engine.topology.InputLayer object at 0x7f94c6b95750>
[ 2 ] <keras.layers.convolutional.Conv2D object at 0x7f94c6577610>
[ 3 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c65778d0>
[ 4 ] <keras.layers.core.Activation object at 0x7f94c6577a90>
[ 5 ] <keras.layers.convolutional.Conv2D object at 0x7f94c6900f50>
[ 6 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c6878bd0>
[ 7 ] <keras.layers.core.Activation object at 0x7f94c690e750>
[ 8 ] <keras.layers.convolutional.Conv2D object at 0x7f94c68d1e10>
[ 9 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c68d1f10>
[ 10 ] <keras.layers.core.Activation object at 0x7f94c6652b90>
[ 11 ] <keras.layers.pooling.MaxPooling2D object at 0x7f94c6319390>
[ 12 ] <keras.layers.convolutional.Conv2D object at 0x7f94c6309490>
[ 13 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c62cea50>
[ 14 ] <keras.layers.core.Activation object at 0x7f94c628b890>
[ 15 ] <keras.layers.convolutional.Conv2D object at 0x7f94c62a4490>
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[ 17 ] <keras.layers.core.Activation object at 0x7f94c626ac50>
[ 18 ] <keras.layers.pooling.MaxPooling2D object at 0x7f94c6226a10>
[ 19 ] <keras.layers.convolutional.Conv2D object at 0x7f94c6064850>
[ 20 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c6076b10>
[ 21 ] <keras.layers.core.Activation object at 0x7f94c602bf10>
[ 22 ] <keras.layers.convolutional.Conv2D object at 0x7f94c6146ad0>
[ 23 ] <keras.layers.convolutional.Conv2D object at 0x7f94c5ff7710>
[ 24 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c6155d90>
[ 25 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c5f889d0>
[ 26 ] <keras.layers.core.Activation object at 0x7f94c6119e90>
[ 27 ] <keras.layers.core.Activation object at 0x7f94c5fbaed0>
[ 28 ] <keras.layers.pooling.AveragePooling2D object at 0x7f94c5e88850>
[ 29 ] <keras.layers.convolutional.Conv2D object at 0x7f94c62329d0>
[ 30 ] <keras.layers.convolutional.Conv2D object at 0x7f94c60d4990>
[ 31 ] <keras.layers.convolutional.Conv2D object at 0x7f94c5f77b50>
[ 32 ] <keras.layers.convolutional.Conv2D object at 0x7f94c5e962d0>
[ 33 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c6232350>
[ 34 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c60e6c50>
[ 35 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c5f77750>
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[ 48 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c5bde310>
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[ 269 ] <keras.layers.convolutional.Conv2D object at 0x7f94c3545050>
[ 270 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c3992750>
[ 271 ] <keras.layers.core.Activation object at 0x7f94c38a2c90>
[ 272 ] <keras.layers.core.Activation object at 0x7f94c37c2410>
[ 273 ] <keras.layers.core.Activation object at 0x7f94c367afd0>
[ 274 ] <keras.layers.core.Activation object at 0x7f94c35f8d10>
[ 275 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c3508a90>
[ 276 ] <keras.layers.core.Activation object at 0x7f94c39bfdd0>
[ 277 ] <keras.layers.merge.Concatenate object at 0x7f94c3780b90>
[ 278 ] <keras.layers.merge.Concatenate object at 0x7f94c35b7a50>
[ 279 ] <keras.layers.core.Activation object at 0x7f94c353c110>
[ 280 ] <keras.layers.merge.Concatenate object at 0x7f94c34e9390>
[ 281 ] <keras.layers.convolutional.Conv2D object at 0x7f94c32b2890>
[ 282 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c3294850>
[ 283 ] <keras.layers.core.Activation object at 0x7f94c3211990>
[ 284 ] <keras.layers.convolutional.Conv2D object at 0x7f94c3479410>
[ 285 ] <keras.layers.convolutional.Conv2D object at 0x7f94c322d790>
[ 286 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c3466e50>
[ 287 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c323f950>
[ 288 ] <keras.layers.core.Activation object at 0x7f94c343c450>
[ 289 ] <keras.layers.core.Activation object at 0x7f94c31f6d50>
[ 290 ] <keras.layers.convolutional.Conv2D object at 0x7f94c33f9bd0>
[ 291 ] <keras.layers.convolutional.Conv2D object at 0x7f94c330c950>
[ 292 ] <keras.layers.convolutional.Conv2D object at 0x7f94c31b3a90>
[ 293 ] <keras.layers.convolutional.Conv2D object at 0x7f94c30c6810>
[ 294 ] <keras.layers.pooling.AveragePooling2D object at 0x7f94c3055190>
[ 295 ] <keras.layers.convolutional.Conv2D object at 0x7f94c34dadd0>
[ 296 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c3389d90>
[ 297 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c331fb10>
[ 298 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c31b3690>
[ 299 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c30c6410>
[ 300 ] <keras.layers.convolutional.Conv2D object at 0x7f94c303c110>
[ 301 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c34da050>
[ 302 ] <keras.layers.core.Activation object at 0x7f94c33501d0>
[ 303 ] <keras.layers.core.Activation object at 0x7f94c32e1f50>
[ 304 ] <keras.layers.core.Activation object at 0x7f94c3106ad0>
[ 305 ] <keras.layers.core.Activation object at 0x7f94c308be50>
[ 306 ] <keras.layers.normalization.BatchNormalization object at 0x7f94c303ca90>
[ 307 ] <keras.layers.core.Activation object at 0x7f94c344eed0>
[ 308 ] <keras.layers.merge.Concatenate object at 0x7f94c329e6d0>
[ 309 ] <keras.layers.merge.Concatenate object at 0x7f94c3055590>
[ 310 ] <keras.layers.core.Activation object at 0x7f94c2fdd5d0>
[ 311 ] <keras.layers.merge.Concatenate object at 0x7f94c2ff7910>
[ 312 ] <keras.layers.pooling.GlobalAveragePooling2D object at 0x7f94c2e41a10>
[ 313 ] <keras.layers.core.Dense object at 0x7f94c2e41a90>
[ 314 ] <keras.layers.core.Dense object at 0x7f94c2e41110>
Related
I'm developing a react-native application, I use import Share from 'react-native-share'; for sharing files.
When it open share modal on iOS and I choose Save to File ( for examples a pdf file ) it thrown this execption:
{
"code": "ENSCOCOAERRORDOMAIN3072",
"message": "The operation was cancelled.",
"nativeStackIOS": [
"0 MyApp 0x0000000109361a97 RCTJSErrorFromCodeMessageAndNSError + 135",
"1 MyApp 0x00000001093619c3 RCTJSErrorFromNSError + 275",
"2 MyApp 0x00000001092e8c81 __41-[RCTModuleMethod processMethodSignature]_block_invoke_4.110 + 161",
"3 MyApp 0x0000000109242696 __48-[RNShare open:failureCallback:successCallback:]_block_invoke_2 + 214",
"4 ShareSheet 0x00007fff4310eec7 __68-[UIActivityViewController _cleanupActivityWithSuccess:items:error:]_block_invoke + 183",
"5 UIKitCore 0x00007fff46e15f25 -[UIPresentationController transitionDidFinish:] + 978",
"6 UIKitCore 0x00007fff46e1aa61 __56-[UIPresentationController runTransitionForCurrentState]_block_invoke.503 + 199",
"7 UIKitCore 0x00007fff46f32e2c -[_UIViewControllerTransitionContext completeTransition:] + 88",
"8 UIKitCore 0x00007fff47a0c180 -[UITransitionView notifyDidCompleteTransition:] + 247",
"9 UIKitCore 0x00007fff47a0be03 -[UITransitionView _didCompleteTransition:] + 1423",
"10 UIKitCore 0x00007fff47a45f20 -[UIViewAnimationBlockDelegate _didEndBlockAnimation:finished:context:] + 671",
"11 UIKitCore 0x00007fff47a16a11 -[UIViewAnimationState sendDelegateAnimationDidStop:finished:] + 268",
"12 UIKitCore 0x00007fff47a16f83 -[UIViewAnimationState animationDidStop:finished:] + 259",
"13 UIKitCore 0x00007fff47a1710a -[UIViewAnimationState animationDidStop:finished:] + 650",
"14 QuartzCore 0x00007fff2b080ac2 _ZN2CA5Layer23run_animation_callbacksEPv + 306",
"15 libdispatch.dylib 0x00007fff516ad781 _dispatch_client_callout + 8",
"16 libdispatch.dylib 0x00007fff516b9caa _dispatch_main_queue_callback_4CF + 1212",
"17 CoreFoundation 0x00007fff23b0ce49 __CFRUNLOOP_IS_SERVICING_THE_MAIN_DISPATCH_QUEUE__ + 9",
"18 CoreFoundation 0x00007fff23b07aa9 __CFRunLoopRun + 2329",
"19 CoreFoundation 0x00007fff23b06e66 CFRunLoopRunSpecific + 438",
"20 GraphicsServices 0x00007fff38346bb0 GSEventRunModal + 65",
"21 UIKitCore 0x00007fff47578dd0 UIApplicationMain + 1621",
"22 MyApp 0x0000000109117201 main + 97",
"23 libdyld.dylib 0x00007fff516ecd29 start + 1",
"24 ??? 0x0000000000000001 0x0 + 1"
],
"domain": "NSCocoaErrorDomain",
"userInfo": {}
}
My .apib document has the following response defined:
21 + Response 200 (application/json)
22
23 + Body
24
25 {
26 "Datetime: "2017-04-23T18:25:43.700Z",
27 "UserId": "1",
28 "Goal": "25",
29 "MaxReps": "8",
30 "Workout":
31 [
32 {
33 "SequenceNo": "1",
34 "Action": "Pullups",
35 "Units": "3"
36 },
37 {
38 "SequenceNo": "2",
39 "Action": "Rest",
40 "Units": "60"
41 },
42 {
43 "SequenceNo": "3",
44 "Action": "Pullups",
45 "Units": "5"
46 },
47 {
48 "SequenceNo": "4",
49 "Action": "Rest",
50 "Units": "60"
51 },
52 {
53 "SequenceNo": "5",
54 "Action": "Pullups",
55 "Units": "4"
56 }
57 ]
58 }
However it fails when running dredd with the error:
warn: Parser warning in file '/root/pullapi/api-description.apib': (warning code 10) message-body asset is expected to be a pre-formatted cod
e block, every of its line indented by exactly 12 spaces or 3 tabs on lines 25-58
However this matches the structure in the apiblueprint examples.
Any idea of what I'm doing wrong?
Simply indented the body by 12 spaces:
21 + Response 200 (application/json)
22
23 + Body
24
25 {
26 "Datetime: "2017-04-23T18:25:43.700Z",
27 "UserId": "1",
28 "Goal": "25",
29 "MaxReps": "8",
30 "Workout":
31 [
32 {
33 "SequenceNo": "1",
34 "Action": "Pullups",
35 "Units": "3"
36 },
37 {
38 "SequenceNo": "2",
39 "Action": "Rest",
40 "Units": "60"
41 },
42 {
43 "SequenceNo": "3",
44 "Action": "Pullups",
45 "Units": "5"
46 },
47 {
48 "SequenceNo": "4",
49 "Action": "Rest",
50 "Units": "60"
51 },
52 {
53 "SequenceNo": "5",
54 "Action": "Pullups",
55 "Units": "4"
56 }
57 ]
58 }
I am developing application using Objective C.
I am getting following array in the response from server side ( i'm using Get method of AFNetworking).
Response from server: `[{"name":"option1","profile_id":0,"profile_name":"option1"},{"name":"option2","profile_id":0,"profile_name":"option2"},{"name":"option3","profile_id":0,"profile_name":"option3"},{"name":"option4","profile_id":0,"profile_name":"option4"},{"name":"option5","profile_id":0,"profile_name":"option5"},{"name":"option6","profile_id":0,"profile_name":"option6"},{"name":"option7","profile_id":0,"profile_name":"option7"},{"name":"option8","profile_id":0,"profile_name":"option8"},{"name":"option9","profile_id":0,"profile_name":"option9"},{"name":"option10","profile_id":0,"profile_name":"option10"}]`
I want to separate values for the key name.
In short, i want output like:[option1,option2,option3,option4,option5,option6,option7,option8,option9,option10]
For that i tried like following way:
store that response in array (_arr). and then try to separate values for key name like following way,
NSArray *optionArray = [_arr valueForKey:#"name"];
NSLog(#"%#",optionArray);
but, unfortunately this is not working. Application crashes and gives following logs.
Terminating app due to uncaught exception 'NSUnknownKeyException', reason: '[<__NSCFString 0x7abd0600> valueForUndefinedKey:]: this class is not key value coding-compliant for the key name.'
*** First throw call stack:
(
0 CoreFoundation 0x00ae2a14 __exceptionPreprocess + 180
1 libobjc.A.dylib 0x005a3e02 objc_exception_throw + 50
2 CoreFoundation 0x00ae2631 -[NSException raise] + 17
3 Foundation 0x00239098 -[NSObject(NSKeyValueCoding) valueForUndefinedKey:] + 282
4 Foundation 0x0017a798 _NSGetUsingKeyValueGetter + 105
5 Foundation 0x0017a727 -[NSObject(NSKeyValueCoding) valueForKey:] + 288
6 Foundation 0x001bac40 -[NSFunctionExpression expressionValueWithObject:context:] + 1079
7 Foundation 0x001ba739 -[NSComparisonPredicate evaluateWithObject:substitutionVariables:] + 290
8 Foundation 0x001ba60f -[NSPredicate evaluateWithObject:] + 48
9 Foundation 0x001ba593 _filterObjectsUsingPredicate + 437
10 Foundation 0x001ba360 -[NSArray(NSPredicateSupport) filteredArrayUsingPredicate:] + 314
11 Wellness_24x7 0x0008fbc4 __31-[ForthViewController Donating]_block_invoke + 564
12 Wellness_24x7 0x0006c097 __116-[AFHTTPSessionManager dataTaskWithHTTPMethod:URLString:parameters:uploadProgress:downloadProgress:success:failure:]_block_invoke97 + 231
13 Wellness_24x7 0x00080bd5 __72-[AFURLSessionManagerTaskDelegate URLSession:task:didCompleteWithError:]_block_invoke_2132 + 213
14 libdispatch.dylib 0x0330e377 _dispatch_call_block_and_release + 15
15 libdispatch.dylib 0x033319cd _dispatch_client_callout + 14
16 libdispatch.dylib 0x03316f90 _dispatch_main_queue_callback_4CF + 910
17 CoreFoundation 0x00a33fde __CFRUNLOOP_IS_SERVICING_THE_MAIN_DISPATCH_QUEUE__ + 14
18 CoreFoundation 0x009f1cd4 __CFRunLoopRun + 2356
19 CoreFoundation 0x009f10e6 CFRunLoopRunSpecific + 470
20 CoreFoundation 0x009f0efb CFRunLoopRunInMode + 123
21 GraphicsServices 0x050c8664 GSEventRunModal + 192
22 GraphicsServices 0x050c84a1 GSEventRun + 104
23 UIKit 0x012ecbfa UIApplicationMain + 160
24 Wellness_24x7 0x0006905a main + 138
25 libdyld.dylib 0x0335ba21 start + 1
)
libc++abi.dylib: terminating with uncaught exception of type NSException
Thank you in advance.
actually your JSON Response started with Array, so do like
NSArray *ResponseArray = [NSJSONSerialization JSONObjectWithData: data options: KNilOptions error: nil];
NSMutableArray *finalArray = [NSMutableArray array];
for (NSDictionary *temp in ResponseArray) {
[finalArray addObject:temp[#"name"]];
}
Choice-2 for AFNetworking
NSMutableArray *finalArray = [NSMutableArray array];
for (NSDictionary *temp in responseObject) {
[finalArray addObject:temp[#"name"]];
}
Try this
NSMutableArray *arrOptions = [NSMutableArray new];
for (int i=0; i<_arr.count; i++) {
[arrOptions addObject:[[_arr objectAtIndex:i] objectForKey:#"name"]];
}
here arrOptions will contain your desired output.
I can see that you are getting response in JSON format. So you can convert JSON into mutable containers like Dictionary and Arrays. In your case it is array of dictionaries.
NSArray *jsonArray = [NSJSONSerialization JSONObjectWithData: data options: NSJSONReadingMutableContainers error: &e];
if(!jsonArray)
{
for(NSDictionary *dict in jsonArray)
{
NSLog(#"%#", dict valueForKey: #"name");
}
}
According to your JSON data below you need to store data using NSDictionary instead of an Array.
[{
"name": "option1",
"profile_id": 0,
"profile_name": "option1"
}, {
"name": "option2",
"profile_id": 0,
"profile_name": "option2"
}, {
"name": "option3",
"profile_id": 0,
"profile_name": "option3"
}, {
"name": "option4",
"profile_id": 0,
"profile_name": "option4"
}, {
"name": "option5",
"profile_id": 0,
"profile_name": "option5"
}, {
"name": "option6",
"profile_id": 0,
"profile_name": "option6"
}, {
"name": "option7",
"profile_id": 0,
"profile_name": "option7"
}, {
"name": "option8",
"profile_id": 0,
"profile_name": "option8"
}, {
"name": "option9",
"profile_id": 0,
"profile_name": "option9"
}, {
"name": "option10",
"profile_id": 0,
"profile_name": "option10"
}]
Get the data using dict like:
NSDictionary *jsonDataDict = [NSJSONSerialization JSONObjectWithData:data options:0 error:nil];
NSArray *optionArray = [jsonDataDict valueForKey:#"name"];
Problem: you are trying to get data of name key and you storing whole JSON data inside an array.
Array doesn't contain key value pair use NSDictionary.
What you want to achieve and your thinking i can say you are on right track.
You have converted your response Data in NSDictionary but it must be an array.
NSArray *responseArray = [NSJSONSerialization JSONObjectWithData:data options:0 error:nil];
this will convert your response to array and you can use
NSArray *optionArray = [responseArray valueForKey:#"name"];
This will lead to same result as answer from #Krishna Kumar but with this you will be able to avoid "for" loop.
{
"restaurants" : [
{
"name": "Hopdoddy Burger Bar",
"backgroundImageURL": "http://sandbox.bottlerocketapps.com/BR_iOS_CodingExam_2015_Server/Images/hopdoddy.png",
"category" : "Burgers",
"contact": {
"phone": "9723872337",
"formattedPhone": "(972) 387-2337",
"twitter": "hopdoddy"
},
"location": {
"address": "5100 Belt Line Road, STE 502",
"crossStreet": "Dallas North Tollway",
"lat": 32.950787,
"lng": -96.821118,
"postalCode": "75254",
"cc": "US",
"city": "Addison",
"state": "TX",
"country": "United States",
"formattedAddress": [
"5100 Belt Line Road, STE 502 (Dallas North Tollway)",
"Addison, TX 75254",
"United States"
]
}
},
{
"name": "Pappadeaux Seafood Kitchen",
"backgroundImageURL": "http://sandbox.bottlerocketapps.com/BR_iOS_CodingExam_2015_Server/Images/pappadeaux.png",
"category": "Seafood",
"contact": {
"phone": "9724479616",
"formattedPhone": "(972) 447-9616",
"twitter": "pappadeaux"
},
"location": {
"address": "18349 Dallas Pkwy",
"crossStreet": "at Frankford Rd.",
"lat": 32.99908456526653,
"lng": -96.83018780592823,
"postalCode": "75287",
"cc": "US",
"city": "Dallas",
"state": "TX",
"country": "United States",
"formattedAddress": [
"18349 Dallas Pkwy (at Frankford Rd.)",
"Dallas, TX 75287",
"United States"
]
}
},
{
"name": "Buffalo Wild Wings",
"backgroundImageURL": "http://sandbox.bottlerocketapps.com/BR_iOS_CodingExam_2015_Server/Images/buffalo_wild_wings.png",
"category": "Wing Joint",
"contact": {
"phone": "9727019464",
"formattedPhone": "(972) 701-9464",
"twitter": "bwwings"
},
"location": {
"address": "5000 Belt Line Rd Ste 100",
"crossStreet": "at Quorum Dr",
"lat": 32.95347617827522,
"lng": -96.82554602622986,
"postalCode": "75254-6752",
"cc": "US",
"city": "Dallas",
"state": "TX",
"country": "United States",
"formattedAddress": [
"5000 Belt Line Rd Ste 100 (at Quorum Dr)",
"Dallas, TX 75254-6752",
"United States"
]
}
}
]
}
This is the JSON I am trying to parse in iOS. I have created my Model objects with all the required parameters. I am able to parse and fetch all the data except for the backgroundImageURL. I get a NSUnknownKeyException. Can someone help me with this?
Below is the code used for creating the Model objects and adding them to an array.
[self.restaurantsArray enumerateObjectsUsingBlock:^(id obj, NSUInteger idx, BOOL *stop) {
Restaurant *restaurant = [[Restaurant alloc]init];
restaurant.name = [obj objectForKey:#"name"];
restaurant.imageURL = [obj objectForKey:#"backgroundImageURL"];
restaurant.category = [obj objectForKey:#"category"];
restaurant.contact = [obj objectForKey:#"contact"];
restaurant.location = [obj objectForKey:#"location"];
[self.parsedRestaurantArray addObject:restaurant];
}];
This is the Restaurant class:
#interface Restaurant : NSObject
#property (nonatomic, strong)NSString *name;
#property (nonatomic, strong)NSString *imageURL;
#property (nonatomic, strong)NSString *category;
#property (nonatomic, strong)Contact *contact;
#property (nonatomic, strong)Location *location;
#end
Here is the track trace:
Terminating app due to uncaught exception 'NSUnknownKeyException', reason: '[ valueForUndefinedKey:]: this class is not key value coding-compliant for the key backgroundImageURL.'
*** First throw call stack:
(
0 CoreFoundation 0x000000010e631e65 exceptionPreprocess + 165
1 libobjc.A.dylib 0x000000010e0aadeb objc_exception_throw + 48
2 CoreFoundation 0x000000010e631aa9 -[NSException raise] + 9
3 Foundation 0x000000010dd0a888 -[NSObject(NSKeyValueCoding) valueForUndefinedKey:] + 226
4 Foundation 0x000000010dc60997 -[NSObject(NSKeyValueCoding) valueForKey:] + 280
5 Foundation 0x000000010dc60758 -[NSArray(NSKeyValueCoding) valueForKey:] + 437
6 BottleRocketExercise 0x000000010cd8692a -[LunchesViewController collectionView:cellForItemAtIndexPath:] + 282
7 UIKit 0x000000010f2335ba -[UICollectionView _createPreparedCellForItemAtIndexPath:withLayoutAttributes:applyAttributes:isFocused:] + 483
8 UIKit 0x000000010f235ae0 -[UICollectionView _updateVisibleCellsNow:] + 4431
9 UIKit 0x000000010f23a23b -[UICollectionView layoutSubviews] + 247
10 UIKit 0x000000010ea954a3 -[UIView(CALayerDelegate) layoutSublayersOfLayer:] + 703
11 QuartzCore 0x00000001129a759a -[CALayer layoutSublayers] + 146
12 QuartzCore 0x000000011299be70 _ZN2CA5Layer16layout_if_neededEPNS_11TransactionE + 366
13 QuartzCore 0x000000011299bcee _ZN2CA5Layer28layout_and_display_if_neededEPNS_11TransactionE + 24
14 QuartzCore 0x0000000112990475 _ZN2CA7Context18commit_transactionEPNS_11TransactionE + 277
15 QuartzCore 0x00000001129bdc0a _ZN2CA11Transaction6commitEv + 486
16 QuartzCore 0x00000001129be37c _ZN2CA11Transaction17observer_callbackEP19__CFRunLoopObservermPv + 92
17 CoreFoundation 0x000000010e55d367 __CFRUNLOOP_IS_CALLING_OUT_TO_AN_OBSERVER_CALLBACK_FUNCTION + 23
18 CoreFoundation 0x000000010e55d2d7 __CFRunLoopDoObservers + 391
19 CoreFoundation 0x000000010e552f2b __CFRunLoopRun + 1147
20 CoreFoundation 0x000000010e552828 CFRunLoopRunSpecific + 488
21 GraphicsServices 0x000000011245cad2 GSEventRunModal + 161
22 UIKit 0x000000010e9de610 UIApplicationMain + 171
23 BottleRocketExercise 0x000000010cd85f5f main + 111
24 libdyld.dylib 0x00000001106f192d start + 1
)
libc++abi.dylib: terminating with uncaught exception of type NSException
I think the problem with your code is that you have and array of restaurants and not just one restaurant. Your obj has not the keys because it has arrays of restaurants. You can only get the keys of each restaurant.
How do I find total physical memory and available physical memory of a process(for e.g. sched process) in Solaris. Are there any commands available? Please provide with an example.
To known the total Solaris Available memory use
havoc#h100:~$ prtconf -v|grep Mem
Memory size: 3326 Megabytes
To display "process" memory, you must use the "pmap" command, as man page says
display information about the address space of a process
For example, if we have a process id (pid) for PostgreSQL DB (5057), you can check "eXtended" information using the "-x" flag, as
havoc#h100:~$ pfexec pmap -x 5057
5057: /u01/app/postgres/9.0/db/bin/64/postgres -D /var/postgres/9.0/data
Address Kbytes RSS Anon Locked Mode Mapped File
0000000000400000 5248 3648 - - r-x-- postgres
000000000092F000 52 52 24 - rw--- postgres
000000000093C000 384 40 12 - rw--- postgres
000000000099C000 536 432 304 - rw--- [ heap ]
FFFFFD7FFE320000 112 24 - - r-x-- libz.so.1
FFFFFD7FFE34B000 4 4 - - rw--- libz.so.1
FFFFFD7FFE34D000 12 12 - - r-x-- libpthread.so.1
FFFFFD7FFE350000 188 44 - - r-x-- libgss.so.1
FFFFFD7FFE38F000 4 4 - - rw--- libgss.so.1
FFFFFD7FFE390000 4 - - - rw--- libgss.so.1
FFFFFD7FFE3A0000 1612 484 - - r-x-- libcrypto.so.0.9.8
FFFFFD7FFE543000 144 140 - - rw--- libcrypto.so.0.9.8
FFFFFD7FFE567000 8 - - - rw--- libcrypto.so.0.9.8
FFFFFD7FFE570000 340 132 - - r-x-- libssl.so.0.9.8
FFFFFD7FFE5D5000 24 24 - - rw--- libssl.so.0.9.8
FFFFFD7FFE5E0000 36 16 - - r-x-- libpam.so.1
FFFFFD7FFE5F9000 4 4 - - rw--- libpam.so.1
FFFFFD7FFE600000 1468 252 - - r-x-- libxml2.so.2
FFFFFD7FFE77E000 48 48 - - rw--- libxml2.so.2
FFFFFD7FFE790000 260 64 - - r-x-- libxslt.so.1
FFFFFD7FFE7E0000 8 8 - - rw--- libxslt.so.1
FFFFFD7FFE830000 68 48 - - r-x-- libsocket.so.1
FFFFFD7FFE851000 4 4 - - rw--- libsocket.so.1
FFFFFD7FFE860000 560 436 - - r-x-- libnsl.so.1
FFFFFD7FFE8FC000 12 12 - - rw--- libnsl.so.1
FFFFFD7FFE8FF000 28 20 - - rw--- libnsl.so.1
FFFFFD7FFE940000 60 48 - - r-x-- methods_unicode.so.3
FFFFFD7FFE95E000 8 8 - - rw--- methods_unicode.so.3
FFFFFD7FFE960000 5328 348 - - r-x-- es_ES.UTF-8.so.3
FFFFFD7FFEEA3000 8 8 - - rw--- es_ES.UTF-8.so.3
FFFFFD7FFEEB0000 464 288 - - r-x-- libm.so.2
FFFFFD7FFEF33000 8 8 - - rw--- libm.so.2
FFFFFD7FFF073000 4 4 - - rwxs- [ anon ]
FFFFFD7FFF080000 64 8 - - rwx-- [ anon ]
FFFFFD7FFF0A0000 64 64 - - rwx-- [ anon ]
FFFFFD7FFF0C0000 4 4 - - rwx-- [ anon ]
FFFFFD7FFF0D0000 4 4 - - rwx-- [ anon ]
FFFFFD7FFF0E0000 24 20 4 - rwx-- [ anon ]
FFFFFD7FFF0F0000 4 4 - - rwx-- [ anon ]
FFFFFD7FFF100000 4 4 - - rwx-- [ anon ]
FFFFFD7FFF110000 4 4 - - rwx-- [ anon ]
FFFFFD7FFF120000 1664 1560 - - r-x-- libc.so.1
FFFFFD7FFF2C0000 48 48 24 - rw--- libc.so.1
FFFFFD7FFF2CC000 8 8 8 - rw--- libc.so.1
FFFFFD7FFF2D0000 4 4 - - rwx-- [ anon ]
FFFFFD7FFF2E0000 4 4 - - rwx-- [ anon ]
FFFFFD7FFF2F0000 4 4 - - rwx-- [ anon ]
FFFFFD7FFF300000 4 4 - - rwx-- [ anon ]
FFFFFD7FFF310000 4 4 - - rwx-- [ anon ]
FFFFFD7FFF320000 4 4 - - rwx-- [ anon ]
FFFFFD7FFF330000 4 4 - - rwx-- [ anon ]
FFFFFD7FFF340000 4 4 - - rwx-- [ anon ]
FFFFFD7FFF350000 4 4 - - rwx-- [ anon ]
FFFFFD7FFF360000 4 4 - - rwx-- [ anon ]
FFFFFD7FFF370000 4 4 - - rw--- [ anon ]
FFFFFD7FFF380000 4 4 - - rw--- [ anon ]
FFFFFD7FFF390000 4 4 - - rwx-- [ anon ]
FFFFFD7FFF393000 348 288 - - r-x-- ld.so.1
FFFFFD7FFF3FA000 12 12 4 - rwx-- ld.so.1
FFFFFD7FFF3FD000 8 8 - - rwx-- ld.so.1
FFFFFD7FFFDEB000 84 84 16 - rw--- [ stack ]
---------------- ---------- ---------- ---------- ----------
total Kb 19444 8836 396 -
I hope it will be useful,
Urko,
Total physical memory:
prtconf | head -1
Available physical and virtual memory:
vmstat 2 2
swap -s
By the way, "sched" isn't really a process but the kernel.