- Part 1 - Setting up a GCP Container Cluster
- Part 2 - Working with a GCP Container Cluster
- Part 3 - Setup of Drone.io on a GCP Container Cluster - Currently being written
A couple of days I wrote up the experience around getting a Google Container Cluster up and running and adding a Terraform config to automate the process. Today my plan is to dig into getting containers into the Google Container Repository and then using those containers to launch various things within the Google Container Cluster. With my end goal being to get a Drone.io setup for production use.
In the last blog entry of this series I wrote up, I covered the steps and some of the issues I ran into getting a Google Cloud Container cluster up and running. In this article I’m going to dive into working with that container, specifically via the gcloud
and kubectl
commands. I’m assuming prerequisites at this point include gcloud
and kubectl
being installed. With gcloud
also being setup via the gcloud init
command already.
I’ve also made a few small changes to the Terraform config file since the previous use. I’ve copied the file contents below. The changes I’ve included below the file contents.
resource "google_container_cluster" "drone" {
name = "drone"
zone = "us-west1-b"
initial_node_count = 3
additional_zones = [
"us-west1-b"
]
network = "developer-space"
subnetwork = "developer-space-west1"
master_auth {
username = "firsttry"
password = "willchange"
}
node_config {
oauth_scopes = [
"https://www.googleapis.com/auth/compute",
"https://www.googleapis.com/auth/devstorage.read_only",
"https://www.googleapis.com/auth/logging.write",
"https://www.googleapis.com/auth/monitoring"
]
machine_type = "g1-small"
}
}
The changes included:
- I changed the name of the cluster to drone.
- I’ve added the additional zone, which is the same as the primary zone. Since the additional zone is identical to the primary zone there will only be 3 instances created. This is per the initial node count. If the additional zone were different than the primary zone, it would create 6 instances, 3 in the additional zone and 3 in the primary zone. I’m not particularly concerned about the high availability associated with the additional instances in another zone so I’ve configured it this way to cut down on prospective costs. The other effect of setting the additional zone, is that Terraform won’t re-create the entire cluster every single time it runs.
- I’ve also set network and subnetwork, which if you’re following along you wouldn’t particularly need set, but I have my networks configured in a particular way so I like to designate which network which cluster or set of instances is going to be created in.
- Just a note, not a change, but using a g1-small is about the smallest size you can go and have a working cluster. Anything smaller than that and it tends to choke on itself, which is unfortunate.
Next step is getting connected to this cluster. Here’s a few of the things you’ll do over and over again when working with a container cluster.
Using Google Container Cluster via gcloud
and kubectl
For the next steps of what I need to do (to setup a cluster for use) there are a host of commands that are useful to determine what’s going on, troubleshoot any issues that might come up, and generally get any insight into the cluster. Here’s a run down of those key commands.
gcloud container clusters describe [NAME]
- where NAME is the name of the cluster to get information from. The results which of which look like this.$ gcloud container clusters describe drone clusterIpv4Cidr: <IP_ADDRESS>/14 createTime: '2017-02-07T01:09:42+00:00' currentMasterVersion: 1.5.2 currentNodeCount: 3 currentNodeVersion: 1.5.2 endpoint: <IP_ADDRESS> initialClusterVersion: 1.5.2 initialNodeCount: 3 instanceGroupUrls: - https://www.googleapis.com/compute/v1/projects/that-big-universe/zones/us-west1-b/instanceGroupManagers/gke-drone-default-pool-d9a3b45a-grp locations: - us-west1-b loggingService: logging.googleapis.com masterAuth: clientCertificate: THIS IS WHERE A BUNCH OF AUTH KEY STUFF GOES FOR THE CLIENT CERT clientKey: THIS IS WHERE A BUNCH OF CLIENT KEY AUTH STUFF GOES clusterCaCertificate: THIS IS WHERE A BUNCH OF CLIENT AUTH CA CERTIFICATE STUFF GOES password: THIS SHOWS THE PASSWORD THE CLUSTER IS SETUP WITH - SEE ABOVE TERRAFORM FILE FOR CORRELATION. username: THIS SHOWS THE USERNAME THE CLUSTER IS SETUP WITH - SEE ABOVE TERRAFORM FILE FOR CORRELATION. monitoringService: monitoring.googleapis.com name: drone network: developer-space nodeConfig: diskSizeGb: 100 imageType: GCI machineType: g1-small oauthScopes: - https://www.googleapis.com/auth/compute - https://www.googleapis.com/auth/devstorage.read_only - https://www.googleapis.com/auth/logging.write - https://www.googleapis.com/auth/monitoring serviceAccount: default nodeIpv4CidrSize: 24 nodePools: - config: diskSizeGb: 100 imageType: GCI machineType: g1-small oauthScopes: - https://www.googleapis.com/auth/compute - https://www.googleapis.com/auth/devstorage.read_only - https://www.googleapis.com/auth/logging.write - https://www.googleapis.com/auth/monitoring serviceAccount: default initialNodeCount: 3 instanceGroupUrls: - https://www.googleapis.com/compute/v1/projects/that-big-universe/zones/us-west1-b/instanceGroupManagers/gke-drone-default-pool-d9a3b45a-grp management: {} name: default-pool selfLink: https://container.googleapis.com/v1/projects/that-big-universe/zones/us-west1-b/clusters/drone/nodePools/default-pool status: RUNNING version: 1.5.2 selfLink: https://container.googleapis.com/v1/projects/that-big-universe/zones/us-west1-b/clusters/drone servicesIpv4Cidr: <IP_ADDRESS>/20 status: RUNNING subnetwork: developer-space-west1 zone: us-west1-b
More info: https://cloud.google.com/sdk/gcloud/reference/container/clusters/describe
gcloud container clusters get-credentials [NAME]
- where NAME is the name of the cluster, this command retrieves credentials for the cluster in which work will be done against.Fetching cluster endpoint and auth data. kubeconfig entry generated for drone.
More info: https://cloud.google.com/sdk/gcloud/reference/container/clusters/get-credentials
gcloud container clusters list
This command will provide a listing of the clusters that are in service. This is the first command to run to get the name of the cluster you want to work with. In this case, I’m working with the only cluster that I have named drone.$ gcloud container clusters list NAME ZONE MASTER_VERSION MASTER_IP MACHINE_TYPE NODE_VERSION NUM_NODES STATUS drone us-west1-b 1.5.2 <IP_ADDRESS> g1-small 1.5.2 3 RUNNING
More info: https://cloud.google.com/sdk/gcloud/reference/container/clusters/list
kubectl config set-cluster [NAME]
- To usekubectl
to manage the cluster, first the cluster to work against must be set. Use set-cluster to get this done. Where NAME is the name of the cluster to work against.$ kubectl config set-cluster drone Cluster "drone" set.
More info: https://kubernetes.io/docs/user-guide/kubectl/kubectl_config_set-cluster/
gcloud container get-server-config
- Thisgcloud
command gets information about the configuration that is setup for the container cluster.$ gcloud container get-server-config Fetching server config for us-west1-b defaultClusterVersion: 1.5.2 defaultImageType: GCI validImageTypes: - CONTAINER_VM - GCI validMasterVersions: - 1.5.2 - 1.4.8 validNodeVersions: - 1.5.2 - 1.5.1 - 1.4.8 - 1.4.7 - 1.4.6 - 1.3.10 - 1.2.7
More info: https://cloud.google.com/sdk/gcloud/reference/container/get-server-config
kubectl config get-clusters
- This command simply lists out the available clusters.kubectl config current-context
- This command prints out the current context in which thekubectl
command is working in.$ kubectl config current-context gke_that-big-universe_us-west1-b_drone
More info: https://kubernetes.io/docs/user-guide/kubectl/kubectl_config_current-context/
kubectl cluster-info
- This command provides information about the cluster as shown.$ kubectl cluster-info Kubernetes master is running at https://<IP_ADDRESS> GLBCDefaultBackend is running at https://<IP_ADDRESS>/api/v1/proxy/namespaces/kube-system/services/default-http-backend Heapster is running at https://<IP_ADDRESS>/api/v1/proxy/namespaces/kube-system/services/heapster KubeDNS is running at https://<IP_ADDRESS>/api/v1/proxy/namespaces/kube-system/services/kube-dns kubernetes-dashboard is running at https://<IP_ADDRESS>/api/v1/proxy/namespaces/kube-system/services/kubernetes-dashboard To further debug and diagnose cluster problems, use 'kubectl cluster-info dump'.
More info: https://kubernetes.io/docs/user-guide/kubectl/kubectl_cluster-info/
kubectl describe nodes
- This command provides a lot of information about the actual running nodes in the cluster.$ kubectl describe nodes Name: gke-drone-default-pool-d9a3b45a-l082 Role: Labels: beta.kubernetes.io/arch=amd64 beta.kubernetes.io/instance-type=g1-small beta.kubernetes.io/os=linux cloud.google.com/gke-nodepool=default-pool failure-domain.beta.kubernetes.io/region=us-west1 failure-domain.beta.kubernetes.io/zone=us-west1-b kubernetes.io/hostname=gke-drone-default-pool-d9a3b45a-l082 Taints: <none> CreationTimestamp: Mon, 06 Feb 2017 17:13:11 -0800 Phase: Conditions: Type Status LastHeartbeatTime LastTransitionTime Reason Message ---- ------ ----------------- ------------------ ------ ------- NetworkUnavailable False Mon, 06 Feb 2017 17:14:09 -0800 Mon, 06 Feb 2017 17:14:09 -0800 RouteCreated RouteController created a route OutOfDisk False Mon, 06 Feb 2017 17:50:06 -0800 Mon, 06 Feb 2017 17:13:11 -0800 KubeletHasSufficientDisk kubelet has sufficient disk space available MemoryPressure False Mon, 06 Feb 2017 17:50:06 -0800 Mon, 06 Feb 2017 17:13:11 -0800 KubeletHasSufficientMemory kubelet has sufficient memory available DiskPressure False Mon, 06 Feb 2017 17:50:06 -0800 Mon, 06 Feb 2017 17:13:11 -0800 KubeletHasNoDiskPressure kubelet has no disk pressure Ready True Mon, 06 Feb 2017 17:50:06 -0800 Mon, 06 Feb 2017 17:13:41 -0800 KubeletReady kubelet is posting ready status. AppArmor enabled Addresses: <IP_ADDRESS>,<IP_ADDRESS>,gke-drone-default-pool-d9a3b45a-l082 Capacity: alpha.kubernetes.io/nvidia-gpu: 0 cpu: 1 memory: 1740088Ki pods: 110 Allocatable: alpha.kubernetes.io/nvidia-gpu: 0 cpu: 1 memory: 1740088Ki pods: 110 System Info: Machine ID: 9d264f9182ffa64366cd05fda65a9c20 System UUID: 9D264F91-82FF-A643-66CD-05FDA65A9C20 Boot ID: eb0a6a3f-0316-4898-a0a8-03b8207a2125 Kernel Version: 4.4.21+ OS Image: Google Container-VM Image Operating System: linux Architecture: amd64 Container Runtime Version: docker://1.11.2 Kubelet Version: v1.5.2 Kube-Proxy Version: v1.5.2 PodCIDR: <IP_ADDRESS>/24 ExternalID:<PHONE_NUMBER>460372122 Non-terminated Pods: (5 in total) Namespace Name CPU Requests CPU Limits Memory Requests Memory Limits --------- ---- ------------ ---------- --------------- ------------- kube-system fluentd-cloud-logging-gke-drone-default-pool-d9a3b45a-l082 100m (10%) 0 (0%) 200Mi (11%) 200Mi (11%) kube-system heapster-v1.2.0-2168613315-m2sv2 138m (13%) 138m (13%) 301856Ki (17%) 301856Ki (17%) kube-system kube-dns-autoscaler-2715466192-2csx9 20m (2%) 0 (0%) 10Mi (0%) 0 (0%) kube-system kube-proxy-gke-drone-default-pool-d9a3b45a-l082100m (10%) 0 (0%) 0 (0%) 0 (0%) kube-system kubernetes-dashboard-3543765157-17nxs 100m (10%) 100m (10%) 50Mi (2%) 50Mi (2%) Allocated resources: (Total limits may be over 100 percent, i.e., overcommitted. CPU Requests CPU Limits Memory Requests Memory Limits ------------ ---------- --------------- ------------- 458m (45%) 238m (23%) 568096Ki (32%) 557856Ki (32%) Events: FirstSeen LastSeen Count From SubObjectPath Type Reason Message --------- -------- ----- ---- ------------- -------- ------ ------- 37m 37m 1 {kubelet gke-drone-default-pool-d9a3b45a-l082} Normal Starting Starting kubelet. 37m 37m 1 {kubelet gke-drone-default-pool-d9a3b45a-l082} Warning ImageGCFailed unable to find data for container / 37m 37m 1 {kube-proxy gke-drone-default-pool-d9a3b45a-l082} Normal Starting Starting kube-proxy. 37m 37m 19 {kubelet gke-drone-default-pool-d9a3b45a-l082} Normal NodeHasSufficientDisk Node gke-drone-default-pool-d9a3b45a-l082 status is now: NodeHasSufficientDisk 37m 37m 19 {kubelet gke-drone-default-pool-d9a3b45a-l082} Normal NodeHasSufficientMemory Node gke-drone-default-pool-d9a3b45a-l082 status is now: NodeHasSufficientMemory 37m 37m 19 {kubelet gke-drone-default-pool-d9a3b45a-l082} Normal NodeHasNoDiskPressure Node gke-drone-default-pool-d9a3b45a-l082 status is now: NodeHasNoDiskPressure 36m 36m 1 {kubelet gke-drone-default-pool-d9a3b45a-l082} Normal NodeReady Node gke-drone-default-pool-d9a3b45a-l082 status is now: NodeReady ETC ETC ETC EACH NODE WOULD HAVE INFORMATION DISPLAYED HERE
kubectl describe pods
- This command describes what pods are running. Currently I have none running so this isn’t a super useful command until some pods are actually running in the kubernetes cluster.kubectl get pods --all-namespaces
- This command actually gives a full list of pod in all the namespaces of the cluster. This would provide insight into what other pods the Kubernetes system itself has put onto the server.kubectl config view
- This is another command that provides specific configuration information.
Summary
That covers the commands that will help us troubleshoot and get things running in the Google Container Engine (i.e. Kubernetes Cluster). Next post I’ll dive into and step through the specifics of getting Drone.io setup. Until then, cheerio and happy hacking.
- Part 1 - Setting up a GCP Container Cluster
- Part 2 - Working with a GCP Container Cluster
- Part 3 - Setup of Drone.io on a GCP Container Cluster - Currently being written


Before Change
for name, value in self.column_defaults.items()
if name not in existing
}
known = known.assign(**defaults_required)
// now verify that all of the columns needed are there (that is, the defaults have filled out appropriately)
require_dataframe_has_columns(
self.name(type_name), known, self.selected_columns
)
for column, transform in self.transform_columns.items():
known[column] = transform(known[column])
if self.allow_features:
// to_numpy returns an unspecified order but it"s Fortran in practice. Row-level bulk
// operations are more common (e.g. slicing out a couple of row, when sampling a few
After Change
ids = data.index
// split the dataframe based on the columns we know about
missing_columns = []
def select_column(old_name):
if old_name in data.columns:
column = data[old_name].to_numpy()


Training the networks
Training one network
The code Training_single.ipynb allows training only one network and playing with it. The following steps are performed.
After importing the libraries (see notebook), we load the data:
device = torch.device('cuda') # training on the GPU
# custom data loader, automatically sent to the GPU
ds = imelt.data_loader("./data/NKAS_viscosity_reference.hdf5",
"./data/NKAS_Raman.hdf5",
"./data/NKAS_density.hdf5",
"./data/NKAS_optical.hdf5",
device)
We select an architecture. For this example, we have selected the reference architecture from Le Losq et al. 2021:
nb_layers = 4
nb_neurons = 200
p_drop = 0.01
If we want to save the model and figures in the directories ./model/candidates/ and ./figures/single/, we can use this code to check if the folders exist, and create them if not:
dirName = './model/candidates/'
try:
# Create target Directory
os.mkdir(dirName)
print("Directory " , dirName , " Created ")
except FileExistsError:
print("Directory " , dirName , " already exists")
dirName = './figures/single/'
try:
# Create target Directory
os.mkdir(dirName)
print("Directory " , dirName , " Created ")
except FileExistsError:
print("Directory " , dirName , " already exists")
Now we need a name for our model, we can generate it with the hyperparameters actually, this will help us having automatic names in case we try different architectures:
name = "./model/candidates/l"+str(nb_layers)+"_n"+str(nb_neurons)+"_p"+str(p_drop)+"_test"+".pth"
and we declare the model using imelt.model():
neuralmodel = imelt.model(4,nb_neurons,nb_layers,ds.nb_channels_raman,p_drop=p_drop)
We select a criterion for training (the MSE criterion from PyTorch) and send it to the GPU device
criterion = torch.nn.MSELoss(reduction='mean')
criterion.to(device) # sending criterion on device
Before training, we need to initilize the bias layer using the imelt function, and we send the network parameters to the GPU:
neuralmodel.output_bias_init()
neuralmodel = neuralmodel.float() # this is just to make sure we are using always float() numbers
neuralmodel.to(device)
Training will be done with the ADAM optimizer with a tuned learning rate of 0.0006:
optimizer = torch.optim.Adam(neuralmodel.parameters(), lr = 0.0006)
We have build a function for training in the imelt library that performs early stopping. You have to select:
the patience (how much epoch do you wait once you notice the validation error stop improving)
the min_delta variable, that represents the sensitivity to determine if the RMSE on the validation dataset really improved or not
The imelt.training() function outputs the trained model, and records of the training and validation losses during the epochs.
Training can thus be done with this code:
neuralmodel, record_train_loss, record_valid_loss = imelt.training(neuralmodel,ds,
criterion,optimizer,save_switch=True,save_name=name,
train_patience=400,min_delta=0.05,
verbose=True)
Hyperparameter tuning
Random search
A Random search experiment as well as the experiment about the dataset size are done in the Experiment_1_architecture.py and Experiment_2_dataset_size.py codes. Due to the large amount of calculations, training is best done on GPU. Training takes ~72 hours or more on a Dell Precision 5251 equipped with a RTX 4000 NVIDIA GPU.
Bayesian optimization
The Training_BO.ipynb notebook allows to perform Bayesian Optimization for hyperparameter selection using AX plateform.
Training candidates
The code Training_Candidates.py allows training 100 networks with the reference architecture and selects the 10 best ones, which are saved in ./model/best/ and used for future predictions.
The 10 best models at the time of publication are already provided in ./model/best/. Please beware that running this notebook will update them and can affect slightly the results because each neural network training begins from a different, randomly generated starting point.


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- Multi-armed bandit algorithms
-
A multi-armed bandit algorithm learns a game, just by observing the pa ... [more]
- Reinforcement learning
-
Reinforcement learning plays actions with the highest past payoff. Wh ... [more]
- No-regret learning
-
No-regret learning is a natural extension of reinforcement learning. ... [more]
- Types of equilibria
-
Some multi-agent learning algorithms, such as
regret matching (RM, Har ... [more]
- Conditional no-regret
-
A player has regret if it could have earned more by playing a certain ... [more]
- Prediction, postdiction, and calibration
-
Like fictitious play and Bayesian learning, calibration tries to predi ... [more]
- Fictitious play
-
Fictitious play works by sampling the actions of the opponent(s), and ... [more]
- Bayesian learning
-
Bayesian Learning, also known as rational learning, applies Bayes' rul ... [more]
- Hypothesis testing
-
People cope with complex learning environments by adopting tentative & ... [more]
- Satisficing play
-
Satisficing play is reinforcement learning with the past average payof ... [more]
- Evolutionary dynamics in spatial games
-
Symmetric strategic games in normal form behave differently when playe ... [more]
- Multi-agent reinforcement learning
-
Reinforcement learning can be used, not only to evaluate one's own act ... [more]
- Stochastic games
-
A stochastic game (also: Markov game) is a generalisation of the conce ... [more]
- Evolutionary game theory
-
An ecosystem is assumed in which populations are represented by a prop ... [more]
- Replicator dynamics
-
T.b.a. ...
- Emergence of social conventions
-
It is studied how (typically large) agent populations that use differe ... [more]
|
|
- Methodology of MAL research
-
It is important to be clear on the objectives of research in multi-age ... [more]
- Real-valued spatial games
-
A real-valued spatial game is a variant of a discrete-valued spatial g ... [more]
- Cournot Dynamics
-
We consider adaptation in repeated two-player games with real-valued a ... [more]
- Win-stay lose-shift
-
Meet Pavlov. This strategy is as simple as tit-for-tat and embodies th ... [more]
- Gradient dynamics
-
Gradient dynamics refers to an approach where players are identified w ... [more]
- Learning games in extensive form
-
Games in extensive form are games were moves are executed in successio ... [more]
- When to teach and when to follow
-
Agents in a MAL environment must be able to decide when to teach and w ... [more]
- Comparing MAL algorithms empirically
-
Until 2005, say, MAL research was typically done this way: (1) invent ... [more]
- Simplified Poker
-
Card poker (such as Hold'em) is a game of imperfect information where ... [more]
- Ant colony optimisation (ACO)
-
Ant colony optimisation (ACO) is an interesting way to let ants togeth ... [more]
- Slime mold mechanisms
-
Slime mold is a broad term describing organisms that grow selectively ... [more]
- Particle swarm optimisation
-
Particle swarm optimisation (commonly abbreviated as PSO) is an optimi ... [more]
- Periodicity and chaos in evolutionary dynamics
-
It is well known that all interesting symmetric 2×2 games like t ... [more]
- The CLRI framework
-
CLRI (the letters correspond to the first letters of the parameters' n ... [more]
- Joint process games: from ratings to wikis
-
In 2010 PhD student Michael Munie (now engineer at Google in Paris) an ... [more]
- Argumentation-based MAL
-
Enrique Plaza is one of the few researchers who unites the areas of mu ... [more]
- Spatial adaptation
-
Spatial models of adaptation assume a space, for example a grid, or a ... [more]
- Uncoupled learning and Nash equilibria
-
There are two important motives to study Nash equilibria in MAL. First ... [more]
|


This submits an array with sequential values of 0..(400-1). The supervisor will shared the work in batches across the workers, printing their outputs when complete.


We want to kindly greet you, and let you know that we exist. Also, we are currently taking new projects!
|
Kiluth A Digital-Oriented Branding Agency |
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|
Hello. We are a digital-oriented branding agency of young designers, strategists and developers based in Bangkok, Thailand.
|
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© 2016 Kiluth.
|


Since version 11.0.0, Next.js provides an integrated
ESLint experience out of the box. Add
next lint
as a script to package.json
:
Then run npm run lint
or yarn lint
:
If you don’t already have ESLint configured in your application, you will be guided through the installation of the required packages.
yarn lint
# You'll see instructions like these:
#
# Please install eslint and eslint-config-next by running:
#
# yarn add --dev eslint eslint-config-next
#
# ...
If no ESLint configuration is present, Next.js will create an
.eslintrc
file in the root of your project and automatically
configure it with the base configuration:
You can now run next lint
every time you want to run ESLint
to catch errors.
The default base configuration (
"extends": "next"
) can be updated at any time and will only be included if no ESLint configuration is present.
We recommend using an appropriate integration to view warnings and errors directly in your code editor during development.
Once ESLint has been set up, it will automatically run during every build
(next build
). Errors will fail the build, while warnings will
not.
If you do not want ESLint to run as a build step, refer to the documentation for Ignoring ESLint:
By default, Next.js will run ESLint for all files in the
pages/
, components/
, and
lib/
directories. However, you can specify which directories
using the dirs
option in the eslint
config in
next.config.js
for production builds:
module.exports = {
eslint: {
dirs: ['pages', 'utils'], // Only run ESLint on the 'pages' and 'utils' directories during production builds (next build)
},
}
Similarly, the --dir
flag can be used for
next lint
:
Next.js provides an ESLint plugin,
eslint-plugin-next
, making it easier to catch common issues and problems in a Next.js
application. The full set of rules is as follows:
| Rule | Description | |
|---|---|---|
| ✔ | next/google-font-display | Enforce optional or swap font-display behavior with Google Fonts |
| ✔ | next/google-font-preconnect | Enforce preconnect usage with Google Fonts |
| ✔ | next/link-passhref | Enforce passHref prop usage with custom Link components |
| ✔ | next/no-css-tags | Prevent manual stylesheet tags |
| ✔ | next/no-document-import-in-page | Disallow importing next/document outside of pages/document.js |
| ✔ | next/no-head-import-in-document | Disallow importing next/head in pages/document.js |
| ✔ | next/no-html-link-for-pages | Prohibit HTML anchor links to pages without a Link component |
| ✔ | next/no-img-element | Prohibit usage of HTML <img> element |
| ✔ | next/no-page-custom-font | Prevent page-only custom fonts |
| ✔ | next/no-sync-scripts | Forbid synchronous scripts |
| ✔ | next/no-title-in-document-head | Disallow using <title> with Head from next/document |
| ✔ | next/no-unwanted-polyfillio | Prevent duplicate polyfills from Polyfill.io |
The Next.js base ESLint configuration is automatically generated when
next lint
is run for the first time:
This configuration extends recommended rule sets from various ESLint plugins:
You can see the full details of the shareable configuration in the
eslint-config-next
package.
If you would like to modify or disable any rules provided by the supported
plugins (react
, react-hooks
, next
),
you can directly change them using the rules
property in your
.eslintrc
:
{
"extends": "next",
"rules": {
"react/no-unescaped-entities": "off",
"@next/next/no-page-custom-font": "off",
}
}
Note: If you need to also include a separate, custom ESLint configuration, it is highly recommended that
eslint-config-next
is extended last after other configurations. For example:{ "extends": ["eslint:recommended", "next"] }
The
next
configuration already handles setting default values for theparser
,plugins
andsettings
properties. There is no need to manually re-declare any of these properties unless you need a different configuration for your use case. If you include any other shareable configurations, you will need to make sure that these properties are not overwritten or modified.
A stricter next/core-web-vitals
rule set can also be added in
.eslintrc
:
{
"extends": ["next", "next/core-web-vitals"]
}
next/core-web-vitals
updates
eslint-plugin-next
to error on a number of rules that are
warnings by default if they affect
Core Web Vitals.
Both
next
andnext/core-web-vitals
entry points are automatically included for new applications built with Create Next App.
ESLint also contains code formatting rules, which can conflict with your existing Prettier setup. We recommend including eslint-config-prettier in your ESLint config to make ESLint and Prettier work together.
If you already have ESLint configured in your application, we recommend extending directly from the Next.js ESLint plugin instead of the shareable configuration.
This eliminates any risk of collisions that can occur due to importing the same plugin or parser across multiple configurations.


Select the file you wish to corrupt by browsing to it using the Browse… button or type it directly into the "File to Corrupt" text box. Select Find and Replace as the type of corruption. This is a good way to focus your corruption to a single word, escaped string, or hex string.
Holodeck creates a copy of the file to be corrupted and corrupts file on the first access, then uses that same file each time it is accessed unless "Regenerate the corruption at each access to the original file" is checked. Check this checkbox for better overall testing when using any kind of random corruption, uncheck this checkbox for help reproducing bugs or if you are performing the same find and replace corruption.
In this case we want to search for any occurrence of the normal string "This" and replace it with a number of unprintable Hex characters. The example here shows a string of five unprintable characters preceded and followed by the Hex value 41, which represents ‘A’. I did this so that if the program parses the string properly, I will have a starting and ending place. If an error occurs I will be able to find the character that caused the error.
The final page shows a summary of the corruption fault you just created. To edit any information on this page simply select it, and click edit. This will take you back to that page to make any necessary changes.


{% extends 'layouts/base.html' %} {% import 'macros/header_macros.html' as header_macros %} {% block page_title %}Corpus {{corpus.name}}{% endblock %} {% block content %}
{{ header_macros.render_corpus(corpus) }}
lemma were correct from lemmatization. It means you corrected {{stats.lemma_count}} lemma.
morphologies were correct from lemmatization. It means you corrected {{stats.morph_count}} morphologies.
POS were correct from lemmatization. It means you corrected {{stats.pos_count}} POS.
| Count | Corrected | Original |
|---|---|---|
| {{count}} | {{lemma_new}} | {{lemma}} |
| Count | Corrected | Original |
|---|---|---|
| {{count}} | {{lemma_new}} | {{lemma}} |
| Count | Corrected | Original |
|---|---|---|
| {{count}} | {{lemma_new}} | {{lemma}} |


new FileInputStream()
or new FileOutputStream()
expressions that can be replaced
with Files.newInputStream()
or Files.newOutputStream()
calls respectively.
Files
methods are usually more efficient than those created by stream constructors.
Example:
InputStream is = new BufferedInputStream(new FileInputStream(file));
After the quick-fix is applied:
InputStream is = new BufferedInputStream(Files.newInputStream(file.toPath()));
This inspection does not show warning if the language level 10 or higher, but the quick-fix is still available.
This inspection only reports if the language level of the project or module is 7 or higher.
New in 2022.1


Matthew Miller is a Tech Lead on the Cisco Secure team helping to build a user-centric
Duo Passwordless experience.
In addition to representing Cisco in two WebAuthn Working Groups, and being a founding
member of the WebAuthn Adoption Community Group, Matthew created and maintains
two WebAuthn libraries including py_webauthn and SimpleWebAuthn.
Nick Steele is a cybersecurity researcher, contributor to the WebAuthn
specification. While he's no longer at Duo, he thinks about them every time he gets
a push notification.


Right-back shortage sees Dani Morer train with Barça pre-Leganes
The Barceloma B right-back is having a cracking season in the third division
by German BonaBarcelona B right-back Dani Morer trained with the first team on Friday ahead of this weekend's trip to Leganes in La Liga.
Ansu Fati, Carles Perez and goalkeeper Sergi Puig were also involved in the session as Ernesto Valverde prepared for the return of domestic football following the international break.
Morer has been called up due to a full-back shortage. Nelson Semedo is injured and Sergi Roberto is suspended on the right side, while Jordi Alba's injured on the left.
Junior Firpo is likely to keep his place in Alba's absence, while Moussa Wague could make his first appearance of the season for the club.
Right-back Morer is likely to make the squad as cover in the full-back positions having impressed for the B team in Segunda B this season.
Ernesto Valverde, though, also suggested that he could change the system to make up for missing so many full-backs for the game in Madrid.


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 4-6
This is such a comforting dish with rich, creamy rice and hot-smoked salmon.
Put a large, deep frying pan over a medium heat. Add the cumin and coriander seeds and stir until they begin to pop. Be careful not to burn them. Crush to a fine powder in a spice grinder or pestle and mortar.
In the same pan, warm the oil over a medium heat. Add the onions and salt and cook for 5 minutes, or until soft and translucent. Add the ground spices, including the paprika and garam masala, reduce the heat to low and cook for 5 minutes.
Increase the heat to medium and add the rice. Stir until it is coated with all the spices. Add the hot-smoked salmon and peas and cook until they are warmed through.
Take off the heat and stir in the cream, coriander and chives. Top with the eggs. Serve with a wedge of lemon.


I know next to nothing about computer games, but tireless Hooting Yard researcher Tristan J Shuddery tries hard to keep me abreast of the latest developments. Many thanks to Tristan, then, for alerting me to an exciting “interactive text adventure computer game” called Lost Pig. What topic could possibly be more thrilling? I admit myself to be befuddled by it, but for those of you who know how these things work, here is a link to it. Happy pig finding!


Created for Blue Heron Healing Arts based on their existing website and visual themes. Contains custom graphics and SEO in the head of the html.
Created in Intro to Programming at Epicodus with Niki Garner using JavaScript for loops and if statements to mimic the Sieve of Eratosthenes.
Created in Intro to Programming for the second code review at Epicodus. Uses branching to collect preferences from the user and return the perfect galactic getaway option.
I think of myself as a jack of all trades, and if you ask me I'll tell you which ones I'm a master of. With a diverse background in drawing, graphic design, welding, costuming, carpentry, rigging, and film production, I've learned that there are more than a few good practices a person can develop that will help them out wherever they go; communication, punctuality, and a working knowledge of knots are the ones I've been working on lately.
My ongoing interests include bird watching, reading, robotics, and hot buttered bourbon recipes.


?6
7
8
9
10
T
M
v
The
New
York
copyright
reserved
botanical
Garden
Gilibertia
nutans
(Sw.)
March
NORTH
AMEH1CAN
FLORA
Determined
by
A.
C.
Smith,
193
4
PLANTS
OF
JAMAICA
Low
trae,
4-6
m.,
with
droopinsr
lower
branches.
Wet
f
orest
pocket.
Lower
western
ridge
of
Blue
Mountain
Peak;
altitude
1700-1950
meters
BOTANICAL
GARDEN
WILLIAM
R.
MAXON,
Collector
01500627
01500627
Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


I have had a prescription for Wellbutrin for a little over 4 months now. It was prescribed to treat mild depression. It wasn't until I was skimming through the internet with no bud before I considered taking the Wellbutrin recreationally. After reading many reports online, I decided to try it.
The pills I have been subscribed contain 300mg of the bupropion. After crushing these into powder and taking great care to remove the shell, I split the 300mg into 4 equal parts. Taking only 150mg at a time, I snorted a 75mg line in each nostril. A warning to those not accustomed to snorting - Wellbutrin burns. I became used to it after a while.
The effects are noticed almost instantaneously. Beginning with a mild body buzz, a light feeling of euphoria set in quickly thereafter. This report is referring more to a generalized sensation, not a specific experience. I have noticed a slight psychological addiction to the Wellbutrin, though nothing stronger than say that of marijuana. I have somewhat of an addicting personality and do not think it likely to become addicted. Bupropion is known for its local anesthetic properties. Soon after snorting it, the nostrils become numbed slightly and the teeth begin to tingle.
I have not noticed any ill side effects other than the occasional dizzy spell and/or mild headache. Of course, these have been rare occurances over the past month and a half and I cannot specifically attribute them to the Wellbutrin. I have progressed to 300-600mg per day and have not noticed any ill effects.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


ArgentSea Documentation
Modern web applications need to be built for performance and scalability, as well as security, monitoring, and configuration. ArgentSea offers a framework that consistently represents best practices for all of these concerns.
The goal of ArgentSea is to simplify the development process for delivering highly scalable and supportable applications.
Massive Scalability
The essential ingredients for building a service that can scale to any demand include highly efficient code, reducing server round-trips, and the scale-out of reads and writes.
Highly scalable data typically means data “sharding” — the practice of spreading data across many database servers. Data sharding offers the most cost effective way to scale your data application as demand grows. To scale your application globally, data sharding offers the ability locate copies of your data across regional datacenters, so that data is located closer to your customers.
ArgentSea uses explicit read and write connections to enable further scale-out. By directing read activity to a mirror or cloned data set, the data load can be spread among multiple servers. Examples include SQL Server Availability Groups, PostgreSQL Hot Standby, Amazon RDS Read Replicas, Azure SQL Geo-Replication, Amazon Aurora Low-Latency Read Replicas, etc.
ArgentSea helps deliver highly optimized data access through data-to-object mapping without the overhead of reflection. The consistent use of stored procedures (SQL Server) or prepared statements (PostgreSQL) reduces both SQL compilation overhead and support/maintenance costs. Because ArgentSea can handle multiple results from the same query, the number of server round-trips can be reduced — a huge performance win.
While the genesis of ArgentSea was to support the complex requirements of data sharding, it will likely be useful for high-performance data access even if you are not accessing sharded data. Especially with a cloud infrastructure, more efficient code requires fewer resources and this translates into ongoing cost savings.
Mission Critical Supportability
ArgentSea also addresses production concerns with built-in features like monitoring/logging, automatic retries after failures, controlling cascading failures (circuit breaking), security best-practices, and an elegant approach to managing connection configuration.
The data framework will attempt to recover from transient errors by automatically retrying the data access; you have control over how long and how often. If repeated failures occur, the system will “circuit break”, so that data failures have less chance of bringing down the whole application.
The robust logging implementation allows you to log to any provider, including Application Insights, CloudWatch, the file system, Windows event logs, and more.
Database passwords can be secured using Key Vault, Secrets Manager, User Secrets, Docker secrets, or other secure storage.
The configuration architecture simplifies the management of large numbers of data connections, reducing redundancy while making it easy to deploy a release though staging environments.
Maintainability via Code Clarity
Supportability is about more than managing the operational burden. It also includes simplicity in understanding application behavior, ease in extending it with new features and requirements, and a discoverable path to resolving bugs. When long-lived applications must be supported by teams that are not the original authors, this becomes especially critical.
The ArgentSea Mapper helps reduce the burden of code maintenance by simplifying and reducing data access code. This makes the code easier to understand and therefore easier to enhance and maintain. Further, the framework helps consolidate and segregate the SQL data access statements so that they can be more easily managed and optimized.
The logging functionality can also provide substantial insight to developers, including the dynamic code compilation behind the Mapper, misconfigurations, and data errors.
Getting Started
Explore the deep dives to understand the logic and services of ArgentSea. An ArgentSea implementation consists of the NuGet library packages, loading the configuration and services at startup, decorating the models classes with data attributes, and calling the various query methods.
If you prefer to learn by getting your hands dirty, jump into the walkthroughs. You can find the most detailed information in the API section.


- Information provided in this website is for information purpose only and to express our personal view.
- We regularly monitors and updates the information on this website. Whilst we endeavour to ensure that the information on this website is correct, we do not warrant its completeness or accuracy. Should you identify any inaccuracies on this website, you are requested to notify the web editors by email, clearly indicating the relevant page.
-
The website may contain links to websites of third party organisations. We cannot be held responsible for any consequences arising from the use of information obtained from these websites.
-
The information on this website, text as well as images.
- References and usage:- The website internally uses information learned from other website and also some of free frameworks mentioned below. Missing to include any please let us know & will surely include.
- http://www.datatables.net/
- http://jquery.com/
- http://highcharttable.org/
- http://getbootstrap.com/
- http://www.adobe.com/
- http://experiencedelivers.adobe.com/cemblog/en/experiencedelivers/2012/11/how_to_sanity_checkosgibundlesacrossenvirnoments.html
- fonts.googleapis.com
- freelancer http://startbootstrap.com/template-overviews/freelancer/
- https://www.google.com/jsapi


For someone with skills in Web Development, the average earning potential is £30,000.
We need to use data to help working age people understand their skills and plan their future employment.
For someone with skills in Web Development, the average earning potential is £30,000.


Christine
Manager
- ID No.: 12345
- Email<EMAIL_ADDRESS>- Office No.: A105
John
Engineer
- ID No.: 5678
- Email<EMAIL_ADDRESS>- GitHub: johnsgithub
Carrie
Intern
- ID No.: 45678
- Email<EMAIL_ADDRESS>- School: UCF
Joy
Engineer
- ID No.: 09876
- Email<EMAIL_ADDRESS>- GitHub: joysgithub


(Don't have an account? Sign up! Or Sign in using Facebook)
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Install Laravel Xampp Mamp
Scroll Down
Laravel Install - The Popular PHP Framework to Code Web Applications.
Do you need Xampp or Mamp to Install this awesome Framework to build your own Apps. And the Composer to run Laravel correct on your localhost server.
Get Composer : ###View Application →
Laravel is a very Fast Popular PHP Framework for develop Web Applications.
Laravel over Xampp.

Update
**Don’t forget restart apache service after set path in ~/.bash_profile
Laravel over Mamp
### Download Mamp for Mac Os X. →
Install Laravel on MAMP !
install and run Terminal .bash
type :
curl -sS https://getcomposer.org/installer | php
type:
php composer.phar
type:
composer
to exit : type
clear
exit
Open a New Terminal Bash
type:
sudo mv composer.phar /usr/local/bin/composer
type:
composer
type to exit :
clear
go back to localhost of the index
localhost/
localhost:8888/
Open New Terminal :
type:
cd /Applications/MAMP/htdocs/
ls
composer create-project laravel/laravel spaceg –prefer-dist
ls
rm -R ./*
ls
cd ~
ls - l
ls -ls
nano .bash_profile
export
PATH=/Applications/MAMP/
bin/php/PHP_VERSION/bin/:$PATH
enter the php version
export
PATH=/Applications/MAMP/
bin/php/php5.6.2/bin/:$PATH
php5.6.2
ctrl o
ctrl x
Open a New Terminal again:=)
cd /Applications/MAMP/htdocs/
ls
composer create-project laravel/laravel/ yourprojectname
Preload your Localhost and BOOOOMM! The index of your Laravel PHP Framework to build APPS!
Globally#
You can place this file anywhere you wish. If you put it in your PATH, you can access it globally. On unixy systems you can even make it executable and invoke it without php.
You can run these commands to easily access composer from anywhere on your system:
curl -sS https://getcomposer.org/installer | php mv composer.phar /usr/local/bin/composer Note: If the above fails due to permissions, run the mv line again with sudo.
export
PATH=/Applications/MAMP/
bin/php/PHP_VERSION/bin/:$PATH
<VirtualHost *:80>
DocumentRoot "/Path/To/New/Document/Root"
ServerName spaceg.github.io
<Directory "/Path/To/New/Document/Root">
Options All
AllowOverride All
Order, allow,deny
Allow from all
</Directory> </ VirtualHost >
</code>
“If you are going to walk on thin ice, you might as well dance”


FontDescriptionProtocol
public protocol FontDescriptionProtocol
The FontDescriptionProtocol
protocol exposes the methods and properties of an underlying PangoFontDescription
instance.
The default implementation of these can be found in the protocol extension below.
For a concrete class that implements these methods and properties, see FontDescription
.
Alternatively, use FontDescriptionRef
as a lighweight, unowned
reference if you already have an instance you just want to use.
The PangoFontDescription
structure represents the description
of an ideal font. These structures are used both to list
what fonts are available on the system and also for specifying
the characteristics of a font to load.
-
Untyped pointer to the underlying
PangoFontDescription
instance.Declaration
Swift
var ptr: UnsafeMutableRawPointer { get }
-
font_description_ptr
Default implementationTyped pointer to the underlying
PangoFontDescription
instance.Default Implementation
Return the stored, untyped pointer as a typed pointer to the
PangoFontDescription
instance.Declaration
Swift
var font_description_ptr: UnsafeMutablePointer<PangoFontDescription> { get }
-
betterMatch(oldMatch:newMatch:)
Extension methodDetermines if the style attributes of
new_match
are a closer match fordesc
than those ofold_match
are, or ifold_match
isnil
, determines ifnew_match
is a match at all. Approximate matching is done for weight and style; other style attributes must match exactly. Style attributes are all attributes other than family and size-related attributes. Approximate matching for style considers PANGO_STYLE_OBLIQUE and PANGO_STYLE_ITALIC as matches, but not as good a match as when the styles are equal.Note that
old_match
must matchdesc
.Declaration
Swift
func betterMatch(oldMatch old_match: FontDescriptionProtocol, newMatch new_match: FontDescriptionProtocol) -> Bool
-
copy()
Extension methodMake a copy of a
PangoFontDescription
.Declaration
Swift
func copy() -> UnsafeMutablePointer<PangoFontDescription>!
-
copyStatic()
Extension methodLike
pango_font_description_copy()
, but only a shallow copy is made of the family name and other allocated fields. The result can only be used untildesc
is modified or freed. This is meant to be used when the copy is only needed temporarily.Declaration
Swift
func copyStatic() -> UnsafeMutablePointer<PangoFontDescription>!
-
equal(desc2:)
Extension methodCompares two font descriptions for equality. Two font descriptions are considered equal if the fonts they describe are provably identical. This means that their masks do not have to match, as long as other fields are all the same. (Two font descriptions may result in identical fonts being loaded, but still compare
false
.)Declaration
Swift
func equal(desc2: FontDescriptionProtocol) -> Bool
-
free()
Extension methodFrees a font description.
Declaration
Swift
func free()
-
getFamily()
Extension methodGets the family name field of a font description. See
pango_font_description_set_family()
.Declaration
Swift
func getFamily() -> String!
-
getGravity()
Extension methodGets the gravity field of a font description. See
pango_font_description_set_gravity()
.Declaration
Swift
func getGravity() -> PangoGravity
-
getSetFields()
Extension methodDetermines which fields in a font description have been set.
Declaration
Swift
func getSetFields() -> PangoFontMask
-
getSize()
Extension methodGets the size field of a font description. See
pango_font_description_set_size()
.Declaration
Swift
func getSize() -> CInt
-
getSizeIsAbsolute()
Extension methodDetermines whether the size of the font is in points (not absolute) or device units (absolute). See
pango_font_description_set_size()
andpango_font_description_set_absolute_size()
.Declaration
Swift
func getSizeIsAbsolute() -> Bool
-
getStretch()
Extension methodGets the stretch field of a font description. See
pango_font_description_set_stretch()
.Declaration
Swift
func getStretch() -> PangoStretch
-
getStyle()
Extension methodGets the style field of a
PangoFontDescription
. Seepango_font_description_set_style()
.Declaration
Swift
func getStyle() -> PangoStyle
-
getVariant()
Extension methodGets the variant field of a
PangoFontDescription
. Seepango_font_description_set_variant()
.Declaration
Swift
func getVariant() -> PangoVariant
-
getVariations()
Extension methodGets the variations field of a font description. See
pango_font_description_set_variations()
.Declaration
Swift
func getVariations() -> String!
-
getWeight()
Extension methodGets the weight field of a font description. See
pango_font_description_set_weight()
.Declaration
Swift
func getWeight() -> PangoWeight
-
hash()
Extension methodComputes a hash of a
PangoFontDescription
structure suitable to be used, for example, as an argument tog_hash_table_new()
. The hash value is independent ofdesc
->mask.Declaration
Swift
func hash() -> CUnsignedInt
-
merge(descToMerge:replaceExisting:)
Extension methodMerges the fields that are set in
desc_to_merge
into the fields indesc
. Ifreplace_existing
isfalse
, only fields indesc
that are not already set are affected. Iftrue
, then fields that are already set will be replaced as well.If
desc_to_merge
isnil
, this function performs nothing.Declaration
Swift
func merge(descToMerge desc_to_merge: FontDescriptionProtocol, replaceExisting replace_existing: Bool)
-
mergeStatic(descToMerge:replaceExisting:)
Extension methodLike
pango_font_description_merge()
, but only a shallow copy is made of the family name and other allocated fields.desc
can only be used untildesc_to_merge
is modified or freed. This is meant to be used when the merged font description is only needed temporarily.Declaration
Swift
func mergeStatic(descToMerge desc_to_merge: FontDescriptionProtocol, replaceExisting replace_existing: Bool)
-
setAbsolute(size:)
Extension methodSets the size field of a font description, in device units. This is mutually exclusive with
pango_font_description_set_size()
which sets the font size in points.Declaration
Swift
func setAbsolute(size: gdouble)
-
set(family:)
Extension methodSets the family name field of a font description. The family name represents a family of related font styles, and will resolve to a particular
PangoFontFamily
. In some uses ofPangoFontDescription
, it is also possible to use a comma separated list of family names for this field.Declaration
Swift
func set(family: UnsafePointer<CChar>)
-
setFamilyStatic(family:)
Extension methodLike
pango_font_description_set_family()
, except that no copy offamily
is made. The caller must make sure that the string passed in stays around untildesc
has been freed or the name is set again. This function can be used iffamily
is a static string such as a C string literal, or ifdesc
is only needed temporarily.Declaration
Swift
func setFamilyStatic(family: UnsafePointer<CChar>)
-
set(gravity:)
Extension methodSets the gravity field of a font description. The gravity field specifies how the glyphs should be rotated. If
gravity
isPANGO_GRAVITY_AUTO
, this actually unsets the gravity mask on the font description.This function is seldom useful to the user. Gravity should normally be set on a
PangoContext
.Declaration
Swift
func set(gravity: Gravity)
-
set(size:)
Extension methodSets the size field of a font description in fractional points. This is mutually exclusive with
pango_font_description_set_absolute_size()
.Declaration
Swift
func set(size: CInt)
-
set(stretch:)
Extension methodSets the stretch field of a font description. The stretch field specifies how narrow or wide the font should be.
Declaration
Swift
func set(stretch: Stretch)
-
set(style:)
Extension methodSets the style field of a
PangoFontDescription
. ThePangoStyle
enumeration describes whether the font is slanted and the manner in which it is slanted; it can be eitherPANGO_STYLE_NORMAL
,PANGO_STYLE_ITALIC
, orPANGO_STYLE_OBLIQUE
. Most fonts will either have a italic style or an oblique style, but not both, and font matching in Pango will match italic specifications with oblique fonts and vice-versa if an exact match is not found.Declaration
Swift
func set(style: Style)
-
set(variant:)
Extension methodSets the variant field of a font description. The
PangoVariant
can either bePANGO_VARIANT_NORMAL
orPANGO_VARIANT_SMALL_CAPS
.Declaration
Swift
func set(variant: Variant)
-
set(variations:)
Extension methodSets the variations field of a font description. OpenType font variations allow to select a font instance by specifying values for a number of axes, such as width or weight.
The format of the variations string is AXIS1=VALUE,AXIS2=VALUE…, with each AXIS a 4 character tag that identifies a font axis, and each VALUE a floating point number. Unknown axes are ignored, and values are clamped to their allowed range.
Pango does not currently have a way to find supported axes of a font. Both harfbuzz or freetype have API for this.
Declaration
Swift
func set(variations: UnsafePointer<CChar>)
-
setVariationsStatic(variations:)
Extension methodLike
pango_font_description_set_variations()
, except that no copy ofvariations
is made. The caller must make sure that the string passed in stays around untildesc
has been freed or the name is set again. This function can be used ifvariations
is a static string such as a C string literal, or ifdesc
is only needed temporarily.Declaration
Swift
func setVariationsStatic(variations: UnsafePointer<CChar>)
-
set(weight:)
Extension methodSets the weight field of a font description. The weight field specifies how bold or light the font should be. In addition to the values of the
PangoWeight
enumeration, other intermediate numeric values are possible.Declaration
Swift
func set(weight: Weight)
-
toFilename()
Extension methodCreates a filename representation of a font description. The filename is identical to the result from calling
pango_font_description_to_string()
, but with underscores instead of characters that are untypical in filenames, and in lower case only.Declaration
Swift
func toFilename() -> String!
-
toString()
Extension methodCreates a string representation of a font description. See
pango_font_description_from_string()
for a description of the format of the string representation. The family list in the string description will only have a terminating comma if the last word of the list is a valid style option.Declaration
Swift
func toString() -> String!
-
unsetFields(toUnset:)
Extension methodUnsets some of the fields in a
PangoFontDescription
. The unset fields will get back to their default values.Declaration
Swift
func unsetFields(toUnset to_unset: FontMask)
-
attrFontDescNew()
Extension methodCreate a new font description attribute. This attribute allows setting family, style, weight, variant, stretch, and size simultaneously.
Declaration
Swift
func attrFontDescNew() -> UnsafeMutablePointer<PangoAttribute>!
-
family
Extension methodGets the family name field of a font description. See
pango_font_description_set_family()
.Declaration
Swift
var family: String! { get nonmutating set }
-
gravity
Extension methodGets the gravity field of a font description. See
pango_font_description_set_gravity()
.Declaration
Swift
var gravity: PangoGravity { get nonmutating set }
-
setFields
Extension methodDetermines which fields in a font description have been set.
Declaration
Swift
var setFields: PangoFontMask { get }
-
size
Extension methodGets the size field of a font description. See
pango_font_description_set_size()
.Declaration
Swift
var size: CInt { get nonmutating set }
-
sizeIsAbsolute
Extension methodDetermines whether the size of the font is in points (not absolute) or device units (absolute). See
pango_font_description_set_size()
andpango_font_description_set_absolute_size()
.Declaration
Swift
var sizeIsAbsolute: Bool { get }
-
stretch
Extension methodGets the stretch field of a font description. See
pango_font_description_set_stretch()
.Declaration
Swift
var stretch: PangoStretch { get nonmutating set }
-
style
Extension methodGets the style field of a
PangoFontDescription
. Seepango_font_description_set_style()
.Declaration
Swift
var style: PangoStyle { get nonmutating set }
-
variant
Extension methodGets the variant field of a
PangoFontDescription
. Seepango_font_description_set_variant()
.Declaration
Swift
var variant: PangoVariant { get nonmutating set }
-
variations
Extension methodGets the variations field of a font description. See
pango_font_description_set_variations()
.Declaration
Swift
var variations: String! { get nonmutating set }
-
weight
Extension methodGets the weight field of a font description. See
pango_font_description_set_weight()
.Declaration
Swift
var weight: PangoWeight { get nonmutating set }


Cornell Hacking Club
CTF Bootcamp
Structure of a CTF
- Most points wins
- Ususally either Jeopardy or Attack/Defense
Jeopardy
- Many challenges in ~6 categories
- e.g. Web, Reversing, Pwnable, Crypto, OSINT, Misc
- Almost always a 1 point participation challenge
- Challenges are worth different amounts of points
- Some challenges use weights as a formula based on the number of solves
Attack/Defense
- We don't really do these
- You, and everyone else, gets a vulnerable VM
- You need to fix your vulnerabilies and exploit them in other team's servers
- Fun and thrilling, but require constant attention
- Like being friends with Arjun
What are they?
- Given a binary executable, break into it / exploit some vulnerability in order to find the flag
- Simple example: given an ELF file, break it and read the description to find a hard-coded password, which will then return the key
- Low level stuff
- As a result, a different pace from some of the other types of challenges
- Requires a more intimate knowledge of Assembly, processors, file types and systems, etc.
- Not too hard to get into as the information and techniques are readily available online
Some techniques and technologies
- Buffer Overflow attack:
- Exploiting memory leaks and allowing for overwriting of memory past allowed access: common in C programs that use certain commands or mis-use malloc().
- E.g. CS 3410 Project 4, exploits strcmp vulnerability.
- GDB:
- Built-in debugger for unix based systems. Allows a step-by-step decomposition of programs.
- See the register values, stack, and other useful information.
- IDA Pro (free and paid):
- Built-in debugger for unix based systems. Allows a step-by-step decomposition of programs.
- Interactive disassembly software, allows for viewing and parsing of binary executables and their related assembly code far easier than the inbuilt unix stuff like readelf.
Useful resources getting for getting started
- Binary reversing course:
- http://liveoverflow.com/binary_hacking/index.html
- Beginner CTF writeup for some BR challenges:
- https://veteransec.com/2018/10/19/hacktober-ctf-2018-binary-analysis-larry/
- More general overview of Binary Reversing:
- https://opensourceforu.com/2015/12/the-basics-of-binary-exploitation/
Basic web vulnerabilities
- SQL Injection
- Sensitive data exposure
- Cross Site Scripting
- Components with know security vulnerabilities
SQL Injection
(XKCD #327)
Sensitive data exposure
- Generally letting attackers access things they shouldn't be able to
- Exposed API
- Password file in web directory
- Serving .git or similar in web directory
Cross Site Scripting
- If user input is unsanitized and posted to website you can inject scripting into it
Example:
My name<script>alert("You've been hacked!")</script>
Components with know security vulnerabilities
Novelty Crypto
- Steganography: Hiding secrets in plain sight.
Usually worth few points, often hidden inside of images or audio
- Classical Ciphers
Ceaser Ciphers, One-Time-Pads, etc. Usually suceptible to statistical attacks
Cracking Two-Time-Pads:
If we have c1 = m1 ⊕ k and c2 = m2 ⊕ k then
c1 ⊕ c2 = m1 ⊕ m2
Use crib-dragging to recover the individual messages
Modern Crypto
- Symmetric Crypto: Block Ciphers, Stream Ciphers, Hash functions
AES: Look at "mode of operation". ECB: easy, CBC: Look for bit flipping attacks, CTR: look
for IV reuse, GCM: Look for nonce reuse/bias
- Asymmetric Crypto: RSA, ECDSA, Diffe Hellman
- RSA: padding oracles, shared factor, weak prime
- ECDSA/ECDHE: weak nonces, subgroup confinement
RSA shared-prime attack
Assume you have two public keys, n1 and n2. Factoring either key takes exponential time, but GCD is
efficient
If n1 and n2 share a factor, we can do gcd(n1,n2) = p. Then n1 = p*(n1/p) and n2 = p*(n2/p)
Daniel’s informal definition of pwning:
take a vulnerable service and turn it into your personal terminal for the machine.
If you’ve taken 3410 you’ve already pwned a vulnerable binary: buffer overflow.
The most common exploit is a buffer overflow attack,
which lets you write data to memory that you shouldn’t be able to.
Simple example
The return address of vuln_function
is stored on the stack and so is the buffer name
.
Gets doesn’t check to make sure we aren’t writing outside of the buffer, so we can overwrite data
on the stack.
If we overwrite it to point to the shell_functions
address instead of the main
function,
we now have remote code execution.
For every vulnerability, people have come up with ways to mitigate them. Stack canaries, Position
Independent Execution, etc.
This means we have to be more creative when figuring out how we exploit these vulnerabilities.
Also many different kinds of exploits that we can chain together to pwn the system: PLT and GOT
overwrites, ROP chains, etc.


You can serve static files from the resource folder public
by including the directive
staticFileLocation("/public");
This file is index.html
and, since its at the top level of public, gets served at the
root of the web application (ie /index.html
).


Information About Our Shops
| Name | Adress | Location | open Hour | Close Hour |
|---|---|---|---|---|
| Seattle Shop | Washington-Seattle | Jackson St , Seattle , WA 98144 | 6 AM | 8 PM |
| Tokyo shop | Japan-Tokyo | Meiji St , Tokyo , JA 19544 | 6 AM | 8 PM |
| Dubai shop | Emarat-Dubai | MBZ RD , Dubai , UAE 149 | 6 AM | 8 PM |
| Paris shop | France-Paris | Famous St , paris , FR 22174 | 6 AM | 8 PM |
| Lima shop | Spanish-Lima | Pero St , Callao , 2074 | 6 AM | 8 PM |
What We Have Also ?


THE HUNCHBACK OF NOTRE DAME A film review by Scott Renshaw Copyright 1996 Scott Renshaw
(Disney) Voices: Tom Hulce, Demi Moore, Kevin Kline, Tony Jay, Jason Alexander, Charles Kimbrough, Mary Wickes. Screenplay: Tab Murphy, Irene Mecchi, Bob Tzudiker, Nomi White, Jonathan Roberts. Producer: Don Hahn. Directors: Kirk Wise and Gary Trousdale. Reviewed by Scott Renshaw.
As I sat in my car twenty minutes after the conclusion of THE HUNCHBACK OF NOTRE DAME, tears still welling up in my eyes, I though about what made me respond to Disney's recent animated hits, even flawed efforts like POCAHONTAS. It was not simply animation to which I was responding, since animated films like BALTO had left me unmoved, and I like to believe that Disney's ubiquitous marketing had no influence. I thought about the moments in films like BEAUTY AND THE BEAST and THE LITTLE MERMAID which had filled me with the pure joy of film artistry, and I realized the connection: music. THE HUNCHBACK OF NOTRE DAME is dark, enchanting, visually spectacular and richer in thematic depth than 99% of the live action films I see, but I know that it was the power of grand opera which pushed me over the edge.
Based on Victor Hugo's 1831 classic, THE HUNCHBACK OF NOTRE DAME tells of Quasimodo (voice of Tom Hulce), the deformed bellringer living in the tower of Paris' Notre Dame Cathedral. Raised since infancy by the cruel Minister of Justice Claude Frollo (Tony Jay), Quasimodo lives a lonely existence with only the stone gargoyles of the cathedral as his friends: Victor (Charles Kimbrough), Hugo (Jason Alexander) and Laverne (Mary Wickes). But on the Festival of Fools, Quasimodo decides to venture into the streets, where he is rescued from an uncaring crowd by the beautiful gypsy Esmeralda (Demi Moore). Quasimodo becomes enchanted with Esmeralda, but a furious Frollo, who considers gypsies evil, demands that she be arrested and punished. When Frollo's Captain of the Guard Phoebus (Kevin Kline) decides to help Esmeralda, Quasimodo finds him a rival for Esmeralda's affections, but an ally in the struggle to save her from Frollo's wrath.
There is no question that computer technology is allowing Disney animators an ever-increasing freedom, and the opportunity to create some astonishing images. There are scenes involving thousands of "extras" which are simply extraordinary, and a swooping shot as Quasimodo comes to Esmeralda's rescue which is breath-taking. Still, the conventional character animation might be even better. It seems almost unfair to single out one star, but I will: Kathy Zielinski, the character supervisor for Frollo.  With superb voice work by Tony Jay, Frollo becomes a brilliant characterization. If an animator ever deserved credit for a Best Supporting Actor performance, this might be the case.
Frollo's tortured soul (revealed in a creepy and very un-Disney-like song called "Hellfire") is just one of many rather adult subjects which gives HUNCHBACK a surprising resonance. Frollo's relationship with Quasimodo is that of an abusive parent who tears down his child's self-esteem, then makes him feel grateful because he still takes care of the child. Quasimodo's cowering respect for Frollo is heart-breaking, rendered poignantly by Tom Hulce. HUNCHBACK also tackles prejudice and religious hypocrisy, with Esmeralda's entreaty "God Help the Outcasts" observing that Jesus was "once an outcast too." There is certainly a fair amount of comic relief, mostly provided by the gargoyles and the lively number "A Guy Like You," but if HUNCHBACK is at all a film for children, it is one which exposes them to issues their parents should be prepared to discuss.
The messages in HUNCHBACK are powerful, and they are skillfully handled, but there is something that happens when they are set to music. The songs by Alan Menken and Steven Schwartz are not particularly memorable by Disney standards, nothing you will be humming for days afterwards like "Be Our Guest" or "Under the Sea," but they are evocative. A heartfelt sentiment which is sung rather than spoken draws its emotion from a different place. Hollywood seems to believe that no one wants to see a musical in 1996, and that Disney's films are aberrations because they are animated. I'm not convinced that the real issue isn't choice of material. Disney selects timeless tales, and a timeless tale in song is a powerful thing.
There are certainly more than a few similarities between THE HUNCHBACK OF NOTRE DAME and BEAUTY AND THE BEAST (also directed by Kirk Wise and Gary Trousdale); if it had been live action, I'd have sworn that they re-used some of the same sets in the opening number. BEAUTY AND THE BEAST is a better film, a classic, and yet there I was, twenty minutes after the conclusion of HUNCHBACK, tears still welling up in my eyes, emotionally invested in the life of an animated character. And though the songs may not have been on my lips, I know they were in my heart.
On the Renshaw scale of 0 to 10 belle towers: 9.
-- Scott Renshaw Stanford University http://www-leland.stanford.edu
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


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GAG secretion of MSC, cMSC and AC culture from day-0 to day-28 were compared to their respective control using parametric 2-sided independent t-test. GAG secretion in both cMSC and AC was significantly higher than MSC ( p<0.01). GAG secretion of cMSC was significantly enhanced at day-21 compared to day-0 ( p<0.01).


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Fire crews race to blaze at Glasgow flats
Residents have been evacuated from their homes at Leadburn Square in Barmulloch.
by Samantha Croal, https://www.dailyrecord.co.uk/authors/samantha-croal/A fire has broken out at a block of flats in Glasgow .
Fire crews are tackling the blaze at Leadburn Square in Barmulloch.
Emergency services have been evacuating residents from their homes.
It is understood no one has been injured.
Fire crews have requested Scottish Power to attend.
It is not yet known what caused the fire.
A Scottish Fire and Rescue spokesperson said: "We received a call today of a fire in the building at Leadburn Square in Barmulloch at 5.08pm on Friday night.
"Three appliances were dispatched to the scene.
"The incident is ongoing."


42+ Youtube Logo Psd Download PNG. Choose from 540+ youtube logo graphic resources and download in the form of png, eps, ai or psd. 1,000+ vectors, stock photos & psd files.
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PUB_SUB DEMO
BACK
Features
Simple demo crossbar server with following features:
The Demo
Message to send:
SEND
Subscribe value:
Status:


Task 1 - SignalR based chat
Goal was to make a simple chat using SignalR Core and ASP.NET Core web site
Model
Only requirements for the system were to show all active users, broadcast messages send by users for all to see and support message persistence. Due to this, the domain model for the system is fairly simple and small. Users have Id and Handle (nickname) and messages consist of Id, Handle (handle of the user who sent the message), timestamp (generated at server side) and the actual message text.
General architecture
Backend system consist mostly of two layers, application layer and data access layer. Business layer/services were left out, for all commands originating from application layer would simply be pass through calls for services.
Application layer is very simple and consists of SignalR hub for basic chat functionality and api controllers for message history and active user fetching. SignalR has no backplane installed hence multiple servers are a no go. This would be a clear next step to make the system scale better.
Lib uses feature based folder structure, and moving on UI and application layer should too. I much prefer feature based structure over role based, even in smaller applications such as this.
One-time initialization (such as table generation) is done by implementing a simple IInitializable interface. All instances registered with that interface have their initialize function called once during application start-up.
Data access layer is described more in detail in storage section.
Storage
Using Azure storage for chat message persistence was required by the task. Table storage was chosen over blob storage due to it having crude indexing capabilities which are enough for the chat system. "Inversed" timestamp (DateTime.MaxValue.Ticks - timestamp.Ticks) partition key for chat messages is used to guarantee messages are fetched in order automatically. Additionaly user and message models are simple enough to be stored as TableEntity without any custom functionality.
Table storage access is hidden behind repository interfaces used in application layer. Both active users and messages have a simple repository interface for functionality required by the system. If channels, authentication and authorization were needed, these would probably be hidden behind a service layer which in turn would be used by application layer. A simple generic table client was implemented for basic CRUD operations against a single table. Both user and message repositories use that client. This allowed repositories to be a bit more testable and the more "complex" table storage related code was reused.
Active users could have been stored as, for example, concurrent dictionary in the hub it self. However, using storage allows for a bit easier transition to multiple servers if a SignalR backplane would eventually be introduced.
For storage configuration Options-pattern is used and configuration values are injected to clients as strongly typed objects.
Front End
Front end is based loosely on ASP.NET Core React template with Webpack for building, bundling and minification. Front end is entirely coded in TypeScript and React. I'm by no means a react professional, so some patterns (like chat service) propably go against the React ideology. Containers are used to hide data access from components, which in turn only provide simple rendering tasks. For future development, redux would be a perfect fit for a chat app and would better hide services and actual data access.
Minification is done with Webpack (and uglify) on production build. No separate .min.js/css files are generated, but normal bundles are minified in production build instead. This, in my opinion, simplifies the layout and script inclusion.
For UI styling, Bootstrap 4 was chosen. Only because I've been using it recently. Definetly not the best/prettiest toolkit to use, but saved me some time.
In general, having had a bit more time, front-end would/should have seen far more love.
Documentation
For documentation, DocFX is used. Haven't been responsible for choosing documentation layer for a while, but after some googling and testing, DocFX seems to be a solid tool for .net documentation. Articles are in markdown and API/Code documentation is based on C# xml "triple slash" comments. Web site generated by the tool is hosted as part of the chat application for simplicity. All in all, pretty happy with the tool and will probably use it in personal project from now on.
Deployment
A simple PowerShell script deploy.ps1
based on Microsoft samples was made to setup continuous github deployment and free tier web app initialization. This I had some trouble with during initial run when it failed to configure automatic deployment, but did create the app and other resources.


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# Copyright (c) 2021 - present / Neuralmagic, Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
General code for parallelizing the workers
"""
import time
from queue import Empty, Full, Queue
from threading import Thread
from typing import Any, Callable, Iterator, List
__all__ = ["ParallelWorker"]
[docs]class ParallelWorker(object):
"""
Multi threading worker to parallelize tasks
:param worker_func: the function to parallelize across multiple tasks
:param num_workers: number of workers to use
:param indefinite: True to keep the thread pooling running so that
more tasks can be added, False to stop after no more tasks are added
:param max_source_size: the maximum size for the source queue
"""
def __init__(
self,
worker_func: Callable,
num_workers: int,
indefinite: bool,
max_source_size: int = -1,
):
self._worker_func = worker_func
self._num_workers = num_workers
self._pending_count = 0
self._source_queue = (
Queue(maxsize=max_source_size) if max_source_size > 0 else Queue()
)
self._completed = Queue()
self._indefinite = Queue()
self._shutdown = Queue()
self.indefinite = indefinite
def __iter__(self) -> Iterator[Any]:
while self._shutdown.empty() and not (
self._indefinite.empty()
and self._pending_count < 1
and self._completed.empty()
):
try:
res = self._completed.get(block=True, timeout=1.0)
self._pending_count -= 1
yield res
except Empty:
continue
def __len__(self):
return self._pending_count
@property
def indefinite(self) -> bool:
"""
:return: True to keep the thread pooling running so that
more tasks can be added, False to stop after no more tasks are added
"""
return not self._indefinite.empty()
@indefinite.setter
def indefinite(self, value: bool):
"""
:param value: True to keep the thread pooling running so that
more tasks can be added, False to stop after no more tasks are added
"""
if value and self._indefinite.empty():
self._indefinite.put(True)
elif not value and not self._indefinite.empty():
self._indefinite.get()
[docs] def start(self):
"""
Start the workers
"""
for _ in range(self._num_workers):
Thread(
target=ParallelWorker._worker,
args=(
self._worker_func,
self._source_queue,
self._completed,
self._indefinite,
self._shutdown,
),
).start()
[docs] def shutdown(self):
"""
Stop the workers
"""
self._shutdown.put(True)
[docs] def add(self, vals: List[Any]):
"""
:param vals: the values to add for processing work
"""
self._pending_count += len(vals)
ParallelWorker._adder(vals, self._source_queue, self._shutdown)
[docs] def add_async(self, vals: List[Any]):
"""
:param vals: the values to add for async workers
"""
self._pending_count += len(vals)
Thread(
target=ParallelWorker._adder,
args=(vals, self._source_queue, self._shutdown),
).start()
[docs] def add_async_generator(self, gen: Iterator[Any]):
"""
:param gen: add an async generator to pull values from for processing
"""
Thread(
target=ParallelWorker._gen_adder,
args=(gen, self._source_queue, self._shutdown, self._indefinite),
).start()
[docs] def add_item(self, val: Any):
"""
:param val: add a single item for processing
"""
self._pending_count += 1
self._source_queue.put(val)
@staticmethod
def _worker(
worker_func: Callable,
source_queue: Queue,
completed: Queue,
indefinite: Queue,
shutdown: Queue,
):
while True:
if not shutdown.empty() or (source_queue.empty() and indefinite.empty()):
return
try:
val = source_queue.get(block=True, timeout=0.01)
except Empty:
continue
res = worker_func(val)
completed.put(res)
source_queue.task_done()
@staticmethod
def _adder(vals: List[Any], source_queue: Queue, shutdown: Queue):
index = 0
while index < len(vals) and shutdown.empty():
try:
source_queue.put(vals[index], block=True, timeout=0.01)
index += 1
except Full:
continue
@staticmethod
def _gen_adder(
gen: Iterator[Any], source_queue: Queue, shutdown: Queue, indefinite: Queue
):
indefinite.put(True)
for val in gen:
while True:
if not shutdown.empty():
return
try:
source_queue.put(val, block=True, timeout=0.01)
break
except Full:
continue
# give some time for everything to complete since we didn't add to pending count
# need to architect this better in the future to get rid of
# the edge case (last items don't complete in 1 sec)
while not source_queue.empty():
time.sleep(0.1)
time.sleep(1.0)
while not indefinite.empty():
try:
indefinite.get_nowait()
except Empty:
continue


This site contains up-to-date data on the current Ebola outbreak in North Kivu in the Democratic Republic of Congo. The data is collected by the MoH in DRC and is available from the humanitarian data exchange. Data until {{date}} is currently available.
Explanations
We use a mathematical model to estimate the reproduction number and to predict the future cases. A more detailed explanation of the model follows below. For the plots of the estimated reproduction number and for the forecast we show 90% credible regions.
The reproductive number, \(R\), of a disease tells us how many new cases one case will infect. It depends on many factors, but gives us an idea of how the disease is progressing. When R is less than one we expect the outbreak to die out, and when R is greater than one we expect the outbreak to continue. The larger R is the more cases we would expect in the future. The estimation of R above is based on work by Cori et al 2013
We use the mathematical model of the disease to predict the expected number of cases of Ebola over the next 3 weeks. We take the latest estimated reproduction number and use that to simulate 1000 possible trajectories for outbreak over the next three weeks. The summary of the simulations is shown in the chart above.
Information about the Ebola Outbreak
Mathematical Model
The mathematical model used to estimate \(R\) and to predict future cases of Ebola is based on calculating a rate of expected cases every day and then using a Poisson distribution to estimate the number of cases (see references below for more information). The daily expected rate, \(\lambda_t\), changes over time and is calculated from the reproduction number and the force of infection .
$$ \lambda_t = R_t \sum_s I_s w_{t - s}, $$
where \(I_s\) is the incidence rate at day \(s\) and \(w\) is the serial interval distribution . The serial interval is the time from the onset of disease in the primary case until the onset in the secondary case. As this time is not the same for every case, we model it with a probability distribution. From previous data on Ebola we use a Gamma Distribution with mean of about 15 days and a standard deviation of about 9 days to model the serial interval distribution.
When we want to estimate \(R_t\) we calculate \( \sum_s I_s w_{t - s} \) for each day in the outbreak and use a Bayesian procedure to calculate the most likely value and credible region for \(R_t\). To make the estimate less noisy, the values are calculated for a week and not for every day. For the forecast we assume that the last value of \(R_t\) will stay constant for the next three weeks and we use the model to predict the expected number of cases.
For more details about this model see:
Open Source Code
All the source code for this application is open source and available
here . Any questions, suggestions or comments are welcome.
About
This model and predictions were developed by Gunnar Ro while working for Fjelltopp, a small not-for-profit company specialising in public health technology. Gunnar completed a PhD in Physics from Durham University in 2015 and has been working with public health technology since then. He is currently studying for a remote MSc in epidemiology with a focus on mathematical modelling of infectious diseases at the London School of Hygine & Tropical medicine. Please get in touch at<EMAIL_ADDRESS>if you have any questions or comments.


Dr. A. P. J. Abdul Kalam
Former President of INDIA
The President Dr. A.P.J. Abdul Kalam at National Law University at Jodhpur.
Here's a time line of Dr. A.P.J. Abdul Kalam's life:
- Avul Pakir Jainulabdeen Abdul Kalam was born in Rameswaram, Tamil Nadu, India
- Kalam moved to Madras to study aerospace engineering in Madras Institute of Technology.
- Kalam joined the Aeronautical Development Establishment of the Defence Research and Development Organisation.
- In 1963 to 1964, he visited NASA's Langley Research Center in Hampton, Virginia
- Kalam had first started work on an expandable rocket project independently at DRDO in 1965.
- Kalam was transferred to the Indian Space Research Organisation (ISRO) where he was the project director of India's first Satellite Launch Vehicle (SLV-III) which successfully deployed the Rohini satellite in near-earth orbit in July 1980
- Kalam made an effort to develop the Polar Satellite Launch Vehicle (PSLV) and SLV-III projects, both of which proved to be successful.
- The Government of India honoured him with the Padma Bhushan.
- The Government of India honoured him with the Padma Vibhushan
- Kalam won the 2002 presidential election.
"A teacher should have a creative mind." --- Dr. A. P. J. Abdul Kalam


Before Change
def set_objective(self, n_evidence):
You can continue BO by giving a larger n_evidence
self.state["pending"] = OrderedDict()
self.state["last_update"] = self.state.get("last_update") or self._n_precomputed
if n_evidence and self.n_evidence > n_evidence:
raise ValueError("New n_evidence must be greater than the earlier")
After Change
if n_evidence is None:
n_evidence = self.objective.get("n_evidence", self.n_evidence)
if n_evidence < self.n_evidence:
logger.warning("Requesting less evidence than there already exists")
self.objective["n_evidence"] = n_evidence
self.objective["n_sim"] = n_evidence - self.n_precomputed_evidence
def extract_result(self):