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What does TypeError: in Type, in parameter, expected Type got xyz mean in Julia

By : Youseffadl
Date : August 02 2020, 02:00 AM
I hope this helps . One way to get this error is the following. Suppose you have defined a (non-trivial) type XYZ:
code :
julia> struct XYZ
         x :: String
julia> xyz = XYZ("foo")
julia> typeof(xyz)
julia> typeof(XYZ)
julia> XYZ isa Type{XYZ}

julia> f(::Type{XYZ}) = 42
f (generic function with 1 method)

julia> f(XYZ)
julia> Type{xyz}
ERROR: TypeError: in Type, in parameter, expected Type, got XYZ
 [1] top-level scope at REPL[3]:1

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Uncaught type mismatch error: the type of an object was incompatible with the expected type of the parameter associated

By : M.salman zafar
Date : March 29 2020, 07:55 AM
To fix the issue you can do In my situation, I was passing the wrong type of object to a function.
For example, I was calling a function like so:
code :

TypeError:expected dynamic type 'string' but had type 'object' React native

By : Jay Lad
Date : March 29 2020, 07:55 AM
it fixes the issue I have to upload an image to cloudinary with react-native. I have used this code: , If you got "source" from "react-native-image-picker", try to change
code :
formdata.append('file', {uri: source, type: 'image/png', name: 'upload.png'}); 
 formdata.append('file', {uri: source.uri, type: 'image/png', name: 'upload.png'});

TypeError: expected dynamic type `string', but had type `int64' while getting text from TextInout

By : Steven Yarbrough
Date : March 29 2020, 07:55 AM
I wish this helpful for you Here is my I tried a but not able to resolve this simple one , There is small mistake in the code
code :
veryfyLogin() {

            .then((response) => {
                if (response.status === 200) {
                    var navigator = this.props.navigator;
                        id: 'dashboard',
                        title: 'DashBoardScene',
                        index: 1


"TypeError: Input 'global_step' of 'ResourceApplyAdagradDA' Op has type int32 that does not match expected type of

By : user3451590
Date : March 29 2020, 07:55 AM
fixed the issue. Will look into that further While I was trying to use the AdaGradDual Optimizer, I got an error for the batch size I had entered. The batch size I entered was 300 because I have 60000 samples to train. , Looking at the error message:
code :
TypeError: Input 'global_step' of 'ResourceApplyAdagradDA' Op has type int32 that does not match expected type of int64
optimizer1 = tf.compat.v1.train.AdagradDAOptimizer(0.001, tf.constant(0, tf.int64))

TypeError: expected dynamic type 'string', but had type int64 in react-native Example for Android

By : Sushovan Haldar
Date : March 29 2020, 07:55 AM
should help you out The error is caused by react-native using the gradle package on the repository which is pre-built. If your version of react-native is from github then you are most likely to run into incompatible binaries.
Solution is to change the file in ProjectName/android/app/build.gradle
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