How to disable hidden trackers, in google play store applications

So most applications, on google play have hidden trackers, analytics they don’t tell you about. This site lets you search any app shows trackers. The article explains what i’m talking about.

Example: https://reports.exodus-privacy.eu.org/reports/37324/

Article : https://theintercept.com/2017/11/24/…-android-apps/

Article : https://www.wired.com/story/android-users-to-avoid-malware-ditch-googles-app-store/

The second article explains Fdroid is partly a solution as those apps there don’t have these trackers. One other not a full solution is uninstalling the app removes the tracker.

Certain apps on google play store either open source or proprietary don’t include trackers as far as exodus-privacy.eu.org analysis is aware of, it’s possible there’s some there unaware of as they state.

Applications without trackers could later receive trackers through application updates. The other option is researching the extent of the specific trackers used in certain applications and what there been used for.

I want to know how it’s possible to disable these trackers, analytics so there not active in the background “while” using these apps.

I saw XPrivacyLua xposed module can disable certain analytics.

Appreciate all advice.

Chrome is not rendering text when it is originally hidden

My goal was to make a simple Load More button. I had my container div which contained a total of 20 components and I only wanted to show and load 5 at a time. I started by making the height of the container equal to the height of just 5 components with overflow: hidden to prevent the rest of the components from showing. Once the Load More button was pressed the height of the container was changed to the height of ten components thus showing 10 components; then it was changed to the height of 15 components and so on.

This worked perfectly in Firefox and Safari however when I tried to load more in Chrome, some of the text would not be rendered. Upon checking in the inspector it was clear to see that the text was in fact there, just not rendered.

missing text When it should look like this:

correct text

This could be solved by focusing on a given component (e.g. highlighting the hidden text or hovering over a button within the component). However having users focus on a component to see what it says is not good practice.

I tried making all the components hidden and when the Load More button was pressed make those that were just loaded not hidden, to no avail. I also tried setting the innerHTML of each component to itself which also didn’t work.

Paragraph field titles showing even when set to visually hidden

I am using the following code to render a paragraph entity in a twig template: {{ content.entity_name}}

A second template renders the paragraph’s fields correctly using:

<h2>{{ content.nav_title }}</h2> 

The problem is it showing the label even when set to “visually hidden” and when set to label “hidden” it doesn’t display the content at all.

Display settings

For example, it should render:

<h2>Example Option Two</h2> <h2>Example Option Two</h2> 

But when set to label “visually hidden” instead it renders (with extra spaces):

Entity Name Label    <h2>Example Option Two</h2> <h2>Example Option Two</h2> 

Finally, when set to label: “hidden” it renders (correct number of items but no content or markup from template):

{ item.content }} { item.content }} 

Does relocation/teleportation while hidden requires a new Stealth check

I’ve been looking around, and from what I understand, the Stealth rules seems to be kind of a sore point in DnD/Pathfinder systems.

What I’m getting at will requires two separate questions I haven’t been able to find an answer to:

I’m mostly a Dex characters player, and thus have experimented a few builds (mainly Rogues. Strange, I know), one of which was a Sniper inspired from this thread. Its major draws are that Stealth protect you effectively from most attack (most Dex builds I’ve made being squishy but having insane Reflex saves to escape AoE) and allows a Rogue to Sneak Attack and deal massive amounts of damage.

I couldn’t locate the rule about the enchanted weapon used there, so I settled for a crouched crossbow and a bunch of feats to alleviate the -20 to Stealth check after firing. Main drawback is, it’s really hard to hide again once you’ve been spotted, and things tend to get ugly when a close range character manages to reach your vincinity (Hello, big mean DR regenerating barbarian wielding a huge axe).

The fact that you need to be lying down to reduce the Stealth penalty means you need to get up before beginning to run, causing mobility problem. And the build requires a crossbow or a firearm – the former being incredibly inferior to longbow and the latter rarely allowed.

I was looking into interactions between Shadowdancers and Rogue Snipers for obvious reasons: the Shadowdancer have the Hide in Plain Sight feat, which allows to make a Stealth check once you’ve been spotted (and strangely does not indicate any kind of malus to your check regarding the fact you’re in sight) and the Shadow Jump, for quick relocation/escape.

A teleporting sneaky sniper seems an interesting prospect, but I have two questions (other one here):

If I am to relocate/use a supernatural ability allowing teleportation while stealthing, do I need to make another Stealth checks?

The common agreement seems to be “new Stealth check on conditions change”, which would probably apply here – even though using a supernatural ability does not usually require verbal/somatic components, and a relocation is not a movement.

I’m looking for RAW answers, though I suppose some DMs would be more or less lenient regarding this particular use.

How to extract weights “from input layer to hidden layer” and from “from hidden layer to output layer” with Keras API?

Hello I am new in Keras and I am trying to get weight in Keras.

I know how to get weight in Tensorflow in Python. Code below:

data = np.array(attributes, 'int64') target = np.array(labels, 'int64')  feature_columns = [tf.contrib.layers.real_valued_column("", dimension=2, dtype=tf.float32)] learningRate = 0.1 epoch = 10000  # https://www.tensorflow.org/api_docs/python/tf/metrics validation_metrics = { "accuracy": tf.contrib.learn.MetricSpec(metric_fn = tf.contrib.metrics.streaming_accuracy , prediction_key = tf.contrib.learn.PredictionKey.CLASSES), "precision": tf.contrib.learn.MetricSpec(metric_fn = tf.contrib.metrics.streaming_precision , prediction_key = tf.contrib.learn.PredictionKey.CLASSES), "recall": tf.contrib.learn.MetricSpec(metric_fn = tf.contrib.metrics.streaming_recall , prediction_key = tf.contrib.learn.PredictionKey.CLASSES), "mean_absolute_error": tf.contrib.learn.MetricSpec(metric_fn = tf.contrib.metrics.streaming_mean_absolute_error , prediction_key = tf.contrib.learn.PredictionKey.CLASSES), "false_negatives": tf.contrib.learn.MetricSpec(metric_fn = tf.contrib.metrics.streaming_false_negatives , prediction_key = tf.contrib.learn.PredictionKey.CLASSES), "false_positives": tf.contrib.learn.MetricSpec(metric_fn = tf.contrib.metrics.streaming_false_positives , prediction_key = tf.contrib.learn.PredictionKey.CLASSES), "true_positives": tf.contrib.learn.MetricSpec(metric_fn = tf.contrib.metrics.streaming_true_positives , prediction_key = tf.contrib.learn.PredictionKey.CLASSES) }  # validation monitor validation_monitor = tf.contrib.learn.monitors.ValidationMonitor(data, target, every_n_steps=500, metrics = validation_metrics)  classifier = tf.contrib.learn.DNNClassifier( feature_columns = feature_columns, hidden_units = [3], activation_fn = tf.nn.sigmoid, optimizer = tf.train.GradientDescentOptimizer(learningRate), model_dir = "model", config = tf.contrib.learn.RunConfig(save_checkpoints_secs = 1) )  classifier.fit(data, target, steps = epoch, monitors = [validation_monitor])  # print('Params:', classifier.get_variable_names()) ''' Params: ['dnn/binary_logistic_head/dnn/learning_rate', 'dnn/hiddenlayer_0/biases', 'dnn/hiddenlayer_0/weights', 'dnn/logits/biases', 'dnn/logits/weights', 'global_step'] '''  print('total steps:', classifier.get_variable_value("global_step")) print('weight from input layer to hidden layer: ', classifier.get_variable_value("dnn/hiddenlayer_0/weights")) print('weight from hidden layer to output layer: ', classifier.get_variable_value("dnn/logits/weights")) 

Is there anyway to obtain weight from (in Keras) like in Tensorflow:

  1. weight from input layer to hidden layer
  2. weight from hidden layer to output layer

This is my model in Keras:

model = Sequential() model.add(Flatten(input_shape=x_train.shape[1:])) model.add(Dense(256, activation='relu')) model.add(Dropout(0.5)) model.add(Dense(1, activation='sigmoid')) 

how to solve this error “Unable to set the Hidden property of the Range class” [on hold]

Sub Tab_mows() With Sheet10

Application.ScreenUpdating = False

.Shapes(“MAWS0”).Visible = msoFalse .Shapes(“MAWS1”).Visible = msoCTrue

.Shapes(“MOWS0”).Visible = msoCTrue ‘2 .Shapes(“MOWS1”).Visible = msoFalse

.Shapes(“HYWS0”).Visible = msoFalse .Shapes(“HYWS1”).Visible = msoCTrue

.Shapes(“ELWS0”).Visible = msoFalse .Shapes(“ELWS1”).Visible = msoCTrue

.Shapes(“MMWS0”).Visible = msoFalse .Shapes(“MMWS1”).Visible = msoCTrue

.Shapes(“MIWS0”).Visible = msoFalse .Shapes(“MIWS1”).Visible = msoCTrue

.Shapes(“FAWS0”).Visible = msoFalse .Shapes(“FAWS1”).Visible = msoCTrue

.Shapes(“RCM0”).Visible = msoFalse .Shapes(“RCM_1”).Visible = msoCTrue

.Range(“A:A,X:AV”).EntireColumn.Hidden = False .Range(“B:Y,AW:XFD”).EntireColumn.Hidden = True

Application.ScreenUpdating = True

End With End Sub

International roaming, forbidden networks, hidden sim toolkit on one plus 5T

I have used international roaming many times before with my one plus 5T and my native Vodafone India providers roaming plan. But this time I landed in Germany and it did not work.

I’ve been trying to debug and even on manual network selection most of the networks appear as “forbidden”. Same networks used to latch on on earlier trips. My native Vodafone provider confirms that roaming is indeed active on my plan.

I tried to reboot, reinsert the Sim but nothing works.

One of the debug steps suggested involved steps in the Sim toolkit app. This app is somehow visible under apps but I cannot seem to find it anywhere. Ideas? How can I find where it is to use it.

Even in network settings the sin toolkit option does not seem there. Other users seem to have it there. I cleared my cache but no help.

Anything else I can try to fix this?

I am on Android 8.1.0 and oxygen is version 5.1.7

Any tips are very welcome! I’m stuck here in Germany with no connectivity and my providers help desk is pretty useless.

Eg. Would inserting the Sim into another device and then back into this one help? Are there roaming related settings that need to be pushed onto the Sim?