Authors: vishh@, msau42@
This document presents a strawman for managing local storage in Kubernetes. We expect to provide a UX and high level design overview for managing most user workflows. More detailed design and implementation will be added once the community agrees with the high level design presented here.
Today, ephemeral local storage is exposed to pods via the container’s writable layer, logs directory, and EmptyDir volumes. Pods use ephemeral local storage for scratch space, caching and logs. There are many issues related to the lack of local storage accounting and isolation, including:
Distributed filesystems and databases are the primary use cases for persistent local storage due to the following factors:
Distributed systems often use replication to provide fault tolerance, and can therefore tolerate node failures. However, data gravity is preferred for reducing replication traffic and cold startup latencies.
A node’s local storage can be broken into primary and secondary partitions.
Primary partitions are shared partitions that can provide ephemeral local storage. The two supported primary partitions are:
This partition holds the kubelet’s root directory (/var/lib/kubelet
by default) and /var/log
directory. This partition may be shared between user pods, OS and Kubernetes system daemons. This partition can be consumed by pods via EmptyDir volumes, container logs, image layers and container writable layers. Kubelet will manage shared access and isolation of this partition. This partition is “ephemeral” and applications cannot expect any performance SLAs (Disk IOPS for example) from this partition.
This is an optional partition which runtimes can use for overlay filesystems. Kubelet will attempt to identify and provide shared access along with isolation to this partition. Container image layers and writable later is stored here. If the runtime partition exists, root
partition will not hold any image layer or writable layers.
All other partitions are exposed as local persistent volumes. The PV interface allows for varying storage configurations to be supported, while hiding specific configuration details to the pod. All the local PVs can be queried and viewed from a cluster level using the existing PV object. Applications can continue to use their existing PVC specifications with minimal changes to request local storage.
The local PVs can be precreated by an addon DaemonSet that discovers all the secondary partitions at well-known directories, and can create new PVs as partitions are added to the node. A default addon can be provided to handle common configurations.
Local PVs can only provide semi-persistence, and are only suitable for specific use cases that need performance, data gravity and can tolerate data loss. If the node or PV fails, then either the pod cannot run, or the pod has to give up on the local PV and find a new one. Failure scenarios can be handled by unbinding the PVC from the local PV, and forcing the pod to reschedule and find a new PV.
Since local PVs are only accessible from specific nodes, the scheduler needs to take into account a PV’s node constraint when placing pods. This can be generalized to a storage topology constraint, which can also work with zones, and in the future: racks, clusters, etc.
The term Partitions
are used here to describe the main use cases for local storage. However, the proposal doesn’t require a local volume to be an entire disk or a partition - it supports arbitrary directory. This implies that cluster administrator can create multiple local volumes in one partition, each has the capacity of the partition, or even create local volume under primary partitions. Unless strictly required, e.g. if you have only one partition in your host, this is strongly discouraged. For this reason, following description will use partition
or mount point
exclusively.
Kubelet running across all nodes will identify primary partition and expose capacity and allocatable for the primary partitions. This allows primary partitions’ storage capacity to be considered as a first class resource when scheduling.
apiVersion: v1
kind: Node
metadata:
name: foo
status:
capacity:
storage.kubernetes.io/overlay: 100Gi
storage.kubernetes.io/scratch: 100Gi
allocatable:
storage.kubernetes.io/overlay: 100Gi
storage.kubernetes.io/scratch: 90Gi
Alice adds new storage resource requirements to her pod, specifying limits for the container’s writeable and overlay layers, and emptyDir volumes.
```yaml apiVersion: v1 kind: Pod metadata: name: foo spec: containers:
Alice’s pod “foo” is Guaranteed a total of “21.5Gi” of local storage. The container “fooc” in her pod cannot consume more than 1Gi for writable layer and 500Mi for logs, and “myEmptyDir” volume cannot consume more than 20Gi.
For the pod resources, storage.kubernetes.io/logs
resource is meant for logs. storage.kubernetes.io/overlay
is meant for writable layer.
storage.kubernetes.io/logs
is satisfied by storage.kubernetes.io/scratch
.
storage.kubernetes.io/overlay
resource can be satisfied by storage.kubernetes.io/overlay
if exposed by nodes or by storage.kubernetes.io/scratch
otherwise. The scheduler follows this policy to find an appropriate node which can satisfy the storage resource requirements of the pod.
EmptyDir.size is both a request and limit that is satisfied by storage.kubernetes.io/scratch
.
Kubelet will rotate logs to keep scratch space usage of “fooc” under 500Mi
Kubelet will track the usage of pods across logs and overlay filesystem and restart the container if it’s total usage exceeds it’s storage limits. If usage on EmptyDir
volume exceeds its limit
, then the pod will be evicted by the kubelet. By performing soft limiting, users will be able to easily identify pods that run out of storage.
Primary partition health is monitored by an external entity like the “Node Problem Detector” which is expected to place appropriate taints.
If a primary partition becomes unhealthy, the node is tainted and all pods running in it will be evicted by default, unless they tolerate that taint. Kubelet’s behavior on a node with unhealthy primary partition is undefined. Cluster administrators are expected to fix unhealthy primary partitions on nodes.
Bob can create pods without any “storage” resource requirements.
```yaml apiVersion: v1 kind: Pod metadata: name: foo namespace: myns spec: containers:
His cluster administrator being aware of the issues with disk reclamation latencies has intelligently decided not to allow overcommitting primary partitions. The cluster administrator has installed a LimitRange to “myns” namespace that will set a default storage size. Note: A cluster administrator can also specify burst ranges and a host of other features supported by LimitRange for local storage.
```yaml apiVersion: v1 kind: LimitRange metadata: name: mylimits spec:
The limit range will update the pod specification as follows:
```yaml apiVersion: v1 kind: Pod metadata: name: foo spec: containers:
Bob’s “foo” pod can use upto “200Mi” for its containers logs and writable layer each, and “1Gi” for its “myEmptyDir” volume.
If Bob’s pod “foo” exceeds the “default” storage limits and gets evicted, then Bob can set a minimum storage requirement for his containers and a higher sizeLimit
for his EmptyDir volumes.
apiVersion: v1
kind: Pod
metadata:
name: foo
spec:
containers:
- name: fooc
resources:
requests:
storage.kubernetes.io/logs: 500Mi
storage.kubernetes.io/overlay: 500Mi
volumeMounts:
- name: myEmptyDir
mountPath: /mnt/data
volumes:
- name: myEmptyDir
emptyDir:
sizeLimit: 2Gi
limits
to be specified for storage
in all pods. storage
will not affect the QoS
Class of a pod since no SLA is intended to be provided for storage capacity isolation. It is recommended to use Persistent Volumes as much as possible and avoid primary partitions.When a new node instance starts up, an addon DaemonSet discovers local “secondary” partitions which are mounted at a well known location and creates Local PVs for them if one doesn’t exist already. The PVs will include a path to the secondary device mount points, and a node affinity ties the volume to a specific node. The node affinity specification tells the scheduler to filter PVs with the same affinity key/value on the node. For the local storage case, the key is kubernetes.io/hostname
, but the same mechanism could be used for zone constraints as well.
kind: StorageClass
apiVersion: storage.k8s.io/v1
metadata:
name: local-fast
topologyKey: kubernetes.io/hostname
kind: PersistentVolume
apiVersion: v1
metadata:
name: local-pv-1
spec:
nodeAffinity:
requiredDuringSchedulingIgnoredDuringExecution:
nodeSelectorTerms:
- matchExpressions:
- key: kubernetes.io/hostname
operator: In
values:
- node-1
capacity:
storage: 100Gi
local:
path: /var/lib/kubelet/storage-partitions/local-pv-1
accessModes:
- ReadWriteOnce
persistentVolumeReclaimPolicy: Delete
storageClassName: local-fast
$ kubectl get pv
NAME CAPACITY ACCESSMODES RECLAIMPOLICY STATUS CLAIM … NODE
local-pv-1 100Gi RWO Delete Available node-1
local-pv-2 10Gi RWO Delete Available node-1
local-pv-1 100Gi RWO Delete Available node-2
local-pv-2 10Gi RWO Delete Available node-2
local-pv-1 100Gi RWO Delete Available node-3
local-pv-2 10Gi RWO Delete Available node-3
Alice creates a StatefulSet that requests local storage from StorageClass “local-fast”. The PVC will only be bound to PVs that match the StorageClass name.
```yaml apiVersion: apps/v1beta1 kind: StatefulSet metadata: name: web spec: serviceName: “nginx” replicas: 3 template: metadata: labels: app: nginx spec: terminationGracePeriodSeconds: 10 containers: - name: nginx image: k8s.gcr.io/nginx-slim:0.8 ports: - containerPort: 80 name: web volumeMounts: - name: www mountPath: /usr/share/nginx/html - name: log mountPath: /var/log/nginx volumeClaimTemplates:
The scheduler identifies nodes for each pod that can satisfy all the existing predicates.
The nodes list is further filtered by looking at the PVC’s StorageClass, and checking if there is available PV of the same StorageClass on a node.
The scheduler chooses a node for the pod based on a ranking algorithm.
Once the pod is assigned to a node, then the pod’s local PVCs get bound to specific local PVs on the node.
$ kubectl get pvc
NAME STATUS VOLUME CAPACITY ACCESSMODES … NODE
www-local-pvc-1 Bound local-pv-1 100Gi RWO node-1
www-local-pvc-2 Bound local-pv-1 100Gi RWO node-2
www-local-pvc-3 Bound local-pv-1 100Gi RWO node-3
log-local-pvc-1 Bound local-pv-2 10Gi RWO node-1
log-local-pvc-2 Bound local-pv-2 10Gi RWO node-2
log-local-pvc-3 Bound local-pv-2 10Gi RWO node-3
$ kubectl get pv
NAME CAPACITY … STATUS CLAIM NODE
local-pv-1 100Gi Bound www-local-pvc-1 node-1
local-pv-2 10Gi Bound log-local-pvc-1 node-1
local-pv-1 100Gi Bound www-local-pvc-2 node-2
local-pv-2 10Gi Bound log-local-pvc-2 node-2
local-pv-1 100Gi Bound www-local-pvc-3 node-3
local-pv-2 10Gi Bound log-local-pvc-3 node-3
If a pod dies and is replaced by a new one that reuses existing PVCs, the pod will be placed on the same node where the corresponding PVs exist. Stateful Pods are expected to have a high enough priority which will result in such pods preempting other low priority pods if necessary to run on a specific node.
Forgiveness policies can be specified as tolerations in the pod spec for each failure scenario. No toleration specified means that the failure is not tolerated. In that case, the PVC will immediately be unbound, and the pod will be rescheduled to obtain a new PV. If a toleration is set, by default, it will be tolerated forever. tolerationSeconds
can be specified to allow for a timeout period before the PVC gets unbound.
Node taints already exist today. Pod scheduling failures are specified separately as a timeout.
apiVersion: v1
kind: Pod
metadata:
name: foo
spec:
<snip>
nodeTolerations:
- key: node.alpha.kubernetes.io/not-ready
operator: TolerationOpExists
tolerationSeconds: 600
- key: node.alpha.kubernetes.io/unreachable
operator: TolerationOpExists
tolerationSeconds: 1200
schedulingFailureTimeoutSeconds: 600
A new PV taint will be introduced to handle unhealthy volumes. The addon or another external entity can monitor the volumes and add a taint when it detects that it is unhealthy.
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: foo
spec:
<snip>
pvTolerations:
- key: storage.kubernetes.io/pvUnhealthy
operator: TolerationOpExists
/var/log/containers
, /var/lib/kubelet
, /var/lib/docker
(with the docker runtime) all reside on a separate partition.Whenever a pod experiences I/O issues with it’s EmptyDir volume, Phippy reconfigures those pods to use an inline Persistent Volume, whose lifetime is tied to the pod. ```yaml apiVersion: v1 kind: Pod metadata: name: foo spec: containers:
Phippy notices some of her pods are experiencing spurious downtimes. With the help of monitoring (iostat
), she notices that the nodes pods are running on are overloaded with I/O operations. She then updates her pods to use Logging Volumes which are backed by persistent storage. If a logging volumeMount is associated with a container, Kubelet will place log data from stdout & stderr of the container under the volume mount path within the container. Kubelet will continue to expose stdout/stderr log data to external logging agents using symlinks as it does already.
```yaml apiVersion: v1 kind: Pod metadata: name: foo spec: containers:
Phippy notices some of her pods are suffering hangs by while writing to their writable layer. Phippy again notices that I/O contention is the root cause and then updates her Pod Spec to use memory backed or persistent volumes for her pods writable layer. Kubelet will instruct the runtimes to overlay the volume with overlay
policy over the writable layer of the container.
```yaml apiVersion: v1 kind: Pod metadata: name: foo spec: containers:
Note: Block access will be considered as a separate feature because it can work for both remote and local storage. The examples here are a suggestion on how such a feature can be applied to this local storage model, but is subject to change based on the final design for block access.
The same addon DaemonSet can also discover block devices and creates corresponding PVs for them with the volumeType: block
spec. path
is overloaded here to mean both fs path and block device path.
kind: PersistentVolume
apiVersion: v1
metadata:
name: foo
labels:
kubernetes.io/hostname: node-1
spec:
capacity:
storage: 100Gi
volumeType: block
local:
path: /var/lib/kubelet/storage-raw-devices/foo
accessModes:
- ReadWriteOnce
persistentVolumeReclaimPolicy: Delete
storageClassName: local-fast
Bob creates a pod with a PVC that requests for block level access and similar to a Stateful Set scenario the scheduler will identify nodes that can satisfy the pods request. The block devices will not be formatted to allow the application to handle the device using their own methods.
kind: PersistentVolumeClaim
apiVersion: v1
metadata:
name: myclaim
spec:
volumeType: block
storageClassName: local-fast
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 80Gi
It is also possible for a PVC that requests volumeType: block
to also use file-based volume. In this situation, the block device would get formatted with the filesystem type specified in the PVC spec. And when the PVC gets destroyed, then the filesystem also gets destroyed to return back to the original block state.
kind: PersistentVolumeClaim
apiVersion: v1
metadata:
name: myclaim
spec:
volumeType: block
fsType: ext4
storageClassName: local-fast
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 80Gi
The lifecycle of the block level PV will be similar to that of the scenarios explained earlier.
readonly
if possible.Kubelet is managing access to shared storage on the node. Container logs outputted via it’s stdout and stderr ends up on the shared storage that kubelet is managing. So, kubelet needs direct control over the log data to keep the containers running (by rotating logs), store them long enough for break glass situations and apply different storage policies in a multi-tenant cluster. All of these features are not easily expressible through external logging agents like journald for example.
Capacity isolation of shared partitions (ephemeral storage) will be controlled using a feature gate. Do not enable this feature gate until all the nodes in a cluster are running a kubelet version that supports capacity isolation. Since older kubelets will not surface capacity of shared partitions, the scheduler will ignore those nodes when attempting to schedule pods that request storage capacity explicitly.
Kubelet will attempt to enforce capacity limits on a best effort basis. If the underlying container runtime cannot surface usage metrics for the writable layer, then kubelet will not provide capacity isolation for the writable layer.
No, but it is the recommended way to ensure capacity and performance isolation. For HDDs, a whole disk is recommended for performance isolation. In some environments, multiple storage partitions are not available, so the only option is to share the same filesystem. In that case, directories in the same filesystem can be specified, and the administrator could configure group quota to provide capacity isolation.
Alpha support for these two features are targeted for v1.7. Beta and GA timelines are TBD. Currently, msau42@, jinxu@ and vishh@ will be developing these features.
inline PV
)


We respect the privacy of our client’s protected health information and are committed to maintaining our client’s confidentiality. This notice applies to all information and records related to our clients that our facility has received or created. It extends to information received or created by our employees, staff, volunteers and physicians. This notice informs you about the possible uses and disclosures of your protected health information. We understand your rights and our obligations regarding our clients protected health information. Protected health information is any information that is created or received by a health care provider that either identifies the resident, or could reasonably be used to identify the resident, that relates to the physical or mental condition of the resident, the provision of health care to the resident or the payment for that health care.
This privacy policy applies to all our customers whose personal data is collected and processed by advantAGE seniors. advantAGE seniors values your custom and knows how important protecting your privacy is to you. That is why we never sell, rent or give any of your personal details to anyone else for marketing purposes. We will only collect and process your personal data when we have lawful bases for doing so. We have described uses and disclosures below and provide examples of the types of uses and disclosures we may make in each of these categories.
For Treatment, we will use and disclose your protected health information in providing you with treatment and services. We may disclose your protected health information to facility and non-facility personnel, who may be involved in your care, such as physicians, nurses, nurse aides, and therapists. For example, a nurse caring for you will report any change in your condition to your physician. We may also disclose protected health information to individuals who will be involved in your care even after you leave our facility because it is vital to to continue the care and treatment.
For Payment, we may use and disclose your protected health information so that we can bill and receive payment for the treatment and services you receive at our facility. For billing and payment purposes, we may disclose your protected health information only to the designated family member who is responsible for payments.
Some things that should go without saying evidently need to be reinforced. We make sure our skilled nursing home has a written policy prohibiting staff from taking or using photos or recordings in any way that would demean or humiliate a resident and subject them to mental abuse. We never use any photograph of our clients for promotional purposes like social media and digital marketing. Visitors unrelated to the clients are also barred from interacting with the inmates to protect the privacy.


Text to speech (TTS) systems hold promise as an important information access tool .However, audio rendering of mathematical equations using TTS is not very effective till date. This project is aimed at rendering the mathematical equations in an effective way using synthetic speech
Learn more about the projectMathematical equations comprise of different types of visual cues to convey their semantic meaning. Some of these visual cues are superscripts, subscripts, parentheses,etc.The objective of this project is to propose techniques which may unambiguously render the equations in audio.
We hand picked a set of 12 equations and rendered them in audio. The equations consist of different combinations of mathematical attributes that must be ren- dered differently. The equations also vary in length and the number of variables. It was ensured that the selected equations were semantically unrelated.
Each participant was made to listen to 18 equations and his responses were recorded. Equations 1-3 were recorded by people familiar with reading math to people with print disabilities. Equations 3 to 6 are rendered with the methods outlined in section 3.1, equations 6 to 9 are rendered using methods outlined in 3.2, equations 10 to 12 using methods from 3.3, equations 13 to 15 with 3.4 and 16 to 18 with 3.5.
Screen reader users are familiar to pitch changes. Generally, a high pitch is used to denote capitals and a low pitch is used to denote tool tip messages. On observing the human recorded equations explained in section 2, we observed that speakers tend to modulate the pitch as they read aloud certain parts of a mathematical expression. It has been observed that certain parts of a mathematical expression are spoken at a faster rate to indicate that it is a sub expression and to isolate it from the rest of the expression.


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C14 - (id=47) - Advanced demo - disable clicks on current image in modal-image
C15 - (id=48) - Advanced demo - after 3 seconds it closes modal gallery automatically with galleryService's close method
Attention: please check the console to understand what it's happening!
Other examples
D1 - (id=49) - Other demo - base64 images
D2 - (id=50) - Other demo - custom file name, used when downloaded
D3 - (id=51) - Other demo - invert touchscreen swipe direction
D4 - (id=52) - Other demo - infinite sliding and automatic add of images when the gallery is visible
D5 - (id=53) - Other demo - automatic update of the second image via gallery service (open the second image and wait some seconds to see the result)
AutoPlay examples
E1 - (id=54) - AutoPlay demo - with default interval and pauseOnHover enabled
E2 - (id=55) - AutoPlay demo - with custom interval and pauseOnHover enabled
E3 - (id=56) - AutoPlay demo - with default interval, pauseOnHover disabled and infinite is enabled
E4 - (id=57) - AutoPlay demo - with interval=1000 interval and pauseOnHover disabled
Experimental examples*
* these will be either improved or removed in next versions
F1 - (id=58) - Experimental demo - infinite sliding with only one image to see if side arrows are hidden
F2 - (id=59) - Experimental demo - an array of Images with the same source file (different classes/ids and paths with appended '?imageIndex' to prevent caching issues)


Project Limitless
Project Limitless is a platform for naturally controlling all the technology around you
Unattended
A simple update library for .NET and Mono
Unattended Server
A Yii-based (PHP) server for Unattended update
ioRPC Documentation
A minimalistic cross-platform remote procedure call library that works over the standard input/output of processes
Badger
A server that combines multiple continuous integration tools' statuses into a single badge with templating


|
BF
|
Go to the source code of this file.
| bf_conference_change_access | ( | ) |
Function check active conference
Definition at line 560 of file bf_register_form.module.
| bf_conference_check_invite_user | ( | ) |
Function check user is invite
Definition at line 656 of file bf_register_form.module.
| bf_conference_count_users | ( | ) |
Function get count register users
Definition at line 601 of file bf_register_form.module.
| bf_conference_isfree_invate_place | ( | ) |
Function is free invite place for forum
Definition at line 622 of file bf_register_form.module.
| bf_conference_isphase_preparation | ( | ) |
Function check is phase = preparation
Definition at line 580 of file bf_register_form.module.
| bf_conference_maxcount_users | ( | ) |
Function get maxcount register users
Definition at line 637 of file bf_register_form.module.
| bf_register_form_add_comitee_options | ( | $comitees_list, | |
$titles = FALSE |
|||
| ) |
Definition at line 539 of file bf_register_form.module.
| bf_register_form_admin_menu_output_alter | ( | & | $content | ) |
Implementation of hook_admin_menu_output_alter().
Delete submenu registration-statistics in the admin menu.
Definition at line 84 of file bf_register_form.module.
| bf_register_form_check_param | ( | $valueParam = NULL , |
|
$nameParam = 'field_sex' , |
|||
$titleParam = '' , |
|||
$commitee_id = NULL , |
|||
$returnData = FALSE , |
|||
$fillinvite_freebase_places = false |
|||
| ) |
Function check param registration form
Definition at line 1072 of file bf_register_form.module.
| bf_register_form_delete_dublicate_extrafiedls | ( | & | $form | ) |
Function deletes duplicates extra fields
Definition at line 1265 of file bf_register_form.module.
| bf_register_form_delete_field | ( | & | $form, |
| $fieldsDelete | |||
| ) |
Function delete fields registration form
| $form | Object register form |
| $fieldsDelete | List fields for delete |
Definition at line 674 of file bf_register_form.module.
| bf_register_form_fill_field | ( | & | $form, |
| $signup, | |||
| $fieldsFill | |||
| ) |
Function delete fill field registration form
Definition at line 714 of file bf_register_form.module.
| bf_register_form_fillinvite_freebase_places | ( | $committee_target_id, | |
$nameParam = '' , |
|||
$valueParam = '' , |
|||
$titleParam = '' |
|||
| ) |
Function check if fill invite places, but free base place
Definition at line 1128 of file bf_register_form.module.
| bf_register_form_form_user_register_form_alter | ( | & | $form, |
| & | $form_state | ||
| ) |
Implements hook_form_FORM_ID_alter().
Edit form for steps
Definition at line 118 of file bf_register_form.module.
| bf_register_form_hidden_field | ( | & | $form, |
| $fieldsHidden | |||
| ) |
Function hidden fields registration form
| $form | Object register form |
| $fieldsHidden | List fields for hidden |
Definition at line 689 of file bf_register_form.module.
| bf_register_form_manager_access | ( | ) |
Function check manager role user
Definition at line 889 of file bf_register_form.module.
| bf_register_form_menu | ( | ) |
Implements hook_menu().
Definition at line 39 of file bf_register_form.module.
| bf_register_form_menu_alter | ( | & | $items | ) |
Implements hook_menu_alter().
Definition at line 6 of file bf_register_form.module.
| bf_register_form_permission | ( | ) |
Implements hook_permission().
Definition at line 95 of file bf_register_form.module.
| bf_register_form_render_table_commitees | ( | $commitees, | |
| $signup, | |||
| $form | |||
| ) |
Function create commitee table(3 step)
Definition at line 735 of file bf_register_form.module.
| bf_register_form_render_valid_data | ( | $listData, | |
| $signup | |||
| ) |
Function render valid data
Definition at line 846 of file bf_register_form.module.
| bf_register_form_submit | ( | $form, | |
| & | $form_state | ||
| ) |
Function submit registration form create user add role user send mail
Definition at line 1179 of file bf_register_form.module.
| bf_register_form_submit_edit_commitee | ( | $form, | |
| & | $form_state | ||
| ) |
Function submit step2 registration form
Definition at line 1165 of file bf_register_form.module.
| bf_register_form_validate | ( | $form, | |
| & | $form_state | ||
| ) |
Function validate registration form
Definition at line 908 of file bf_register_form.module.
| bf_register_form_validate_extra_fields | ( | $form, | |
| $form_state, | |||
$field = FALSE , |
|||
$commitee_id = NULL , |
|||
$fillinvite_freebase_places = false |
|||
| ) |
Function validate extra field registration form
Definition at line 1019 of file bf_register_form.module.
| bf_register_form_validate_field_sex | ( | $form_state, | |
$field = FALSE , |
|||
$commitee_id = NULL , |
|||
$fillinvite_freebase_places = false |
|||
| ) |
Function validate field sex registration form
Definition at line 991 of file bf_register_form.module.
| correctGetData | ( | $fieldData | ) |
Function check correct exist data in fields form
Definition at line 1288 of file bf_register_form.module.
| registration_access_function | ( | $signup | ) |
Registration access function
| $signup | Object ctools registration cache |
Definition at line 27 of file bf_register_form.module.


| 161 | (A) | Thorowe pylate pyned he was that prouoste was of Rome |
| 156 | (C) | By pylat pyned he was . þe prouoste of rome |
| 157 | (D) | By Pilate pynyd he was provost of Rome |
| 155 | (E) | By pylat dampned he was . þe prouoost of rome . |
| (Ex) | ---- no text ---- | |
| 160 | (L) | þrow pilat pyned he was þe prouost of rome |
| 154 | (P) | Thurgh pilat pyned he was þe profest of Rome |
| 156 | (U) | By pilat pyned he was / prouost of Rome |
| (V) | ---- no text ---- |


IG Switches - examples
- Details, instructions and documentation are here
- the HTML markup for this page is here
- and the uncompressed Javascript is here
Simple two state switch (a check-box)
-
Many stated switch (radio-buttons? tabs?)
-
Many two state switches (check-boxes? filters?)
-
Simple style change (and testing funny characters in the state names)
-
Making a switch from bertha column headings
-
With back and next buttons
Note, the back and next buttons are simply buttons not 'switches' as no logic is required. They also illustrate how you can use the style without the javascript.
-


advertools
- advertools package
- Subpackages
- Submodules
- Create Ads on a Large Scale
- Create Ads Using Long Descriptive Text (top-down approach)
- advertools.cli module
- Emoji: Extract, Analyze, and Get Insights
- Extract structured entities from text lists
- 🕷 Python Status Code Checker with Response Headers
- Import and Analyze Knowledge Graph Results on a Large Scale
- Generate Keywords for SEM Campaigns
- Log File Analysis
- Parse and Analyze Crawl Logs in a Dataframe
- Regular Expressions for Extracting Structured Entities
- Reverse DNS Lookup in Bulk
- 🤖 Analyze and Test robots.txt Files on a Large Scale
- Import Search Engine Results Pages (SERPs) for Google and YouTube
- Download, Parse, and Analyze XML Sitemaps
- 🕷 Python SEO Crawler / Spider
- Stopwords in Several Languages
- Twitter Data API
- URL Builders
- Split, Parse, and Analyze URL Structure
- Text Analysis
- Tokenize Words (N-grams)
- YouTube Data API
- Module contents
Change Log - advertools
0.13.2 (2022-09-30)
- Added
Crawling recipe for how to use the
DEFAULT_REQUEST_HEADERS
to change the default headers.
- Changed
Split long lists of URL while crawling regardless of the
follow_links
parameter
- Fixed
Clarify that while authenticating for Twitter only
app_key
andapp_secret
are required, with the option to provideoauth_token
andoauth_token_secret
if/when needed.
0.13.1 (2022-05-11)
- Added
Command line interface with most functions
Make documentation interactive for most pages using
thebe-sphinx
- Changed
Use np.nan wherever there are missing values in
url_to_df
- Fixed
Don't remove double quotes from etags when downloading XML sitemaps
Replace instances of
pd.DataFrame.append
withpd.concat
, which is depracated.Replace empty values with np.nan for the size column in
logs_to_df
0.13.0 (2022-02-10)
- Added
New function
crawl_headers
: A crawler that only makes HEAD requests to a known list of URLs.New function
reverse_dns_lookup
: A way to get host information for a large list of IP addresses concurrently.New options for crawling: exclude_url_params, include_url_params, exclude_url_regex, and include_url_regex for controlling which links to follow while crawling.
- Fixed
Any
custom_settings
options given to thecrawl
function that were defined using a dictionary can now be set without issues. There was an issue if those options were not strings.
- Changed
The skip_url_params option was removed and replaced with the more versatile
exclude_url_params
, which accepts eitherTrue
or a list of URL parameters to exclude while following links.
0.12.3 (2021-11-27)
- Fixed
Crawler stops when provided with bad URLs in list mode.
0.12.0,1,2 (2021-11-27)
- Added
New function
logs_to_df
: Convert a log file of any non-JSON format into a pandas DataFrame and save it to a parquet file. This also compresses the file to a much smaller size.Crawler extracts all available
img
attributes: 'alt', 'crossorigin', 'height', 'ismap', 'loading', 'longdesc', 'referrerpolicy', 'sizes', 'src', 'srcset', 'usemap', and 'width' (excluding global HTML attributes likestyle
anddraggable
).New parameter for the
crawl
functionskip_url_params
: Defaults to False, consistent with previous behavior, with the ability to not follow/crawl links containing any URL parameters.New column for
url_to_df
"last_dir": Extract the value in the last directory for each of the URLs.
- Changed
Query parameter columns in
url_to_df
DataFrame are now sorted by how full the columns are (the percentage of values that are not NA)
0.11.1 (2021-04-09)
- Added
The nofollow attribute for nav, header, and footer links.
- Fixed
Timeout error while downloading robots.txt files.
Make extracting nav, header, and footer links consistent with all links.
0.11.0 (2021-03-31)
- Added
New parameter recursive for
sitemap_to_df
to control whether or not to get all sub sitemaps (default), or to only get the current (sitemapindex) one.New columns for
sitemap_to_df
:sitemap_size_mb
(1 MB = 1,024x1,024 bytes), andsitemap_last_modified
andetag
(if available).Option to request multiple robots.txt files with
robotstxt_to_df
.Option to save downloaded robots DataFrame(s) to a file with
robotstxt_to_df
using the new parameteroutput_file
.Two new columns for
robotstxt_to_df
:robotstxt_last_modified
andetag
(if available).Raise ValueError in
crawl
ifcss_selectors
orxpath_selectors
contain any of the default crawl column headersNew XPath code recipes for custom extraction.
New function
crawllogs_to_df
which converts crawl logs to a DataFrame provided they were saved while using thecrawl
function.New columns in
crawl
: viewport, charset, all h headings (whichever is available), nav, header and footer links and text, if available.Crawl errors don't stop crawling anymore, and the error message is included in the output file under a new errors and/or jsonld_errors column(s).
In case of having JSON-LD errors, errors are reported in their respective column, and the remainder of the page is scraped.
- Changed
Removed column prefix resp_meta_ from columns containing it
Redirect URLs and reasons are separated by '@@' for consistency with other multiple-value columns
Links extracted while crawling are not unique any more (all links are extracted).
Emoji data updated with v13.1.
Heading tags are scraped even if they are empty, e.g.

.
Default user agent for crawling is now advertools/VERSION.
- Fixed
Handle sitemap index files that contain links to themselves, with an error message included in the final DataFrame
Error in robots.txt files caused by comments preceded by whitespace
Zipped robots.txt files causing a parsing issue
Crawl issues on some Linux systems when providing a long list of URLs
- Removed
Columns from the
crawl
output: url_redirected_to, links_fragment
0.10.7 (2020-09-18)
- Added
New function
knowledge_graph
for querying Google's APIFaster
sitemap_to_df
with threadsNew parameter max_workers for
sitemap_to_df
to determine how fast it could goNew parameter capitalize_adgroups for
kw_generate
to determine whether or not to keep ad groups as is, or set them to title case (the default)
- Fixed
Remove restrictions on the number of URLs provided to
crawl
, assuming follow_links is set to False (list mode)JSON-LD issue breaking crawls when it's invalid (now skipped)
- Removed
Deprecate the
youtube.guide_categories_list
(no longer supported by the API)
0.10.6 (2020-06-30)
- Added
JSON-LD support in crawling. If available on a page, JSON-LD items will have special columns, and multiple JSON-LD snippets will be numbered for easy filtering
- Changed
Stricter parsing for rel attributes, making sure they are in link elements as well
Date column names for
robotstxt_to_df
andsitemap_to_df
unified as "download_date"Numbering OG, Twitter, and JSON-LD where multiple elements are present in the same page, follows a unified approach: no numbering for the first element, and numbers start with "1" from the second element on. "element", "element_1", "element_2" etc.
0.10.5 (2020-06-14)
- Added
- New features for the
crawl
function: Extract canonical tags if available
Extract alternate href and hreflang tags if available
Open Graph data "og:title", "og:type", "og:image", etc.
Twitter cards data "twitter:site", "twitter:title", etc.
- New features for the
- Fixed
- Minor fixes to
robotstxt_to_df
: Allow whitespace in fields
Allow case-insensitive fields
- Minor fixes to
- Changed
crawl
now only supports output_file with the extension ".jl"word_frequency
drops wtd_freq and rel_value columns if num_list is not provided
0.10.4 (2020-06-07)
- Added
New function
url_to_df
, splitting URLs into their components and to a DataFrameSlight speed up for
robotstxt_test
0.10.3 (2020-06-03)
- Added
New function
robotstxt_test
, testing URLs and whether they can be fetched by certain user-agents
- Changed
Documentation main page relayout, grouping of topics, & sidebar captions
Various documentation clarifications and new tests
0.10.2 (2020-05-25)
- Added
User-Agent info to requests getting sitemaps and robotstxt files
CSS/XPath selectors support for the crawl function
Support for custom spider settings with a new parameter
custom_settings
- Fixed
Update changed supported search operators and values for CSE
0.10.1 (2020-05-23)
- Changed
Links are better handled, and new output columns are available:
links_url
,links_text
,links_fragment
,links_nofollow
body_text
extraction is improved by containing
,
, and  elements
0.10.0 (2020-05-21)
- Added
New function
crawl
for crawling and parsing websitesNew function
robotstxt_to_df
downloading robots.txt files into DataFrames
0.9.1 (2020-05-19)
- Added
Ability to specify robots.txt file for
sitemap_to_df
Ability to retreive any kind of sitemap (news, video, or images)
Errors column to the returnd DataFrame if any errors occur
A new
sitemap_downloaded
column showing datetime of getting the sitemap
- Fixed
Logging issue causing
sitemap_to_df
to log the same action twiceIssue preventing URLs not ending with xml or gz from being retreived
Correct sitemap URL showing in the
sitemap
column
0.9.0 (2020-04-03)
- Added
New function
sitemap_to_df
imports an XML sitemap into aDataFrame
0.8.1 (2020-02-08)
- Changed
Column query_time is now named queryTime in the youtube functions
Handle json_normalize import from pandas based on pandas version
0.8.0 (2020-02-02)
- Added
New module youtube connecting to all GET requests in API
extract_numbers new function
emoji_search new function
emoji_df new variable containing all emoji as a DataFrame
- Changed
Emoji database updated to v13.0
serp_goog with expanded pagemap and metadata
- Fixed
serp_goog errors, some parameters not appearing in result df
extract_numbers issue when providing dash as a separator in the middle
0.7.3 (2019-04-17)
- Added
New function extract_exclamations very similar to extract_questions
New function extract_urls, also counts top domains and top TLDs
New keys to extract_emoji; top_emoji_categories & top_emoji_sub_categories
Groups and sub-groups to emoji db
0.7.2 (2019-03-29)
- Changed
Emoji regex updated
Simpler extraction of Spanish questions
0.7.1 (2019-03-26)
- Fixed
Missing __init__ imports.
0.7.0 (2019-03-26)
- Added
New extract_ functions:
Generic extract used by all others, and takes arbitrary regex to extract text.
extract_questions to get question mark statistics, as well as the text of questions asked.
extract_currency shows text that has currency symbols in it, as well as surrounding text.
extract_intense_words gets statistics about, and extract words with any character repeated three or more times, indicating an intense feeling (+ve or -ve).
New function word_tokenize:
Used by word_frequency to get tokens of 1,2,3-word phrases (or more).
Split a list of text into tokens of a specified number of words each.
New stop-words from the
spaCy
package:current: Arabic, Azerbaijani, Danish, Dutch, English, Finnish, French, German, Greek, Hungarian, Italian, Kazakh, Nepali, Norwegian, Portuguese, Romanian, Russian, Spanish, Swedish, Turkish.
new: Bengali, Catalan, Chinese, Croatian, Hebrew, Hindi, Indonesian, Irish, Japanese, Persian, Polish, Sinhala, Tagalog, Tamil, Tatar, Telugu, Thai, Ukrainian, Urdu, Vietnamese
- Changed
- word_frequency takes new parameters:
regex defaults to words, but can be changed to anything 'S+' to split words and keep punctuation for example.
sep not longer used as an option, the above regex can be used instead
num_list now optional, and defaults to counts of 1 each if not provided. Useful for counting abs_freq only if data not available.
phrase_len the number of words in each split token. Defaults to 1 and can be set to 2 or higher. This helps in analyzing phrases as opposed to words.
Parameters supplied to serp_goog appear at the beginning of the result df
serp_youtube now contains nextPageToken to make paginating requests easier
0.6.0 (2019-02-11)
- New function
extract_words to extract an arbitrary set of words
- Minor updates
ad_from_string slots argument reflects new text ad lenghts
hashtag regex improved
0.5.3 (2019-01-31)
- Fix minor bugs
Handle Twitter search queries with 0 results in final request
0.5.2 (2018-12-01)
- Fix minor bugs
Properly handle requests for >50 items (serp_youtube)
Rewrite test for _dict_product
Fix issue with string printing error msg
0.5.1 (2018-11-06)
- Fix minor bugs
_dict_product implemented with lists
Missing keys in some YouTube responses
0.5.0 (2018-11-04)
- New function serp_youtube
Query YouTube API for videos, channels, or playlists
Multiple queries (product of parameters) in one function call
Reponse looping and merging handled, one DataFrame
serp_goog return Google's original error messages
twitter responses with entities, get the entities extracted, each in a separate column
0.4.1 (2018-10-13)
- New function serp_goog (based on Google CSE)
Query Google search and get the result in a DataFrame
Make multiple queries / requests in one function call
All responses merged in one DataFrame
twitter.get_place_trends results are ranked by town and country
0.4.0 (2018-10-08)
- New Twitter module based on twython
Wraps 20+ functions for getting Twitter API data
Gets data in a pands DataFrame
Handles looping over requests higher than the defaults
Tested on Python 3.7
0.3.0 (2018-08-14)
Search engine marketing cheat sheet.
- New set of extract_ functions with summary stats for each:
extract_hashtags
extract_mentions
extract_emoji
Tests and bug fixes
0.2.0 (2018-07-06)
New set of kw_<match-type> functions.
Full testing and coverage.
0.1.0 (2018-07-02)
First release on PyPI.
- Functions available:
ad_create: create a text ad place words in placeholders
- ad_from_string: split a long string to shorter string that fit into
given slots
kw_generate: generate keywords from lists of products and words
url_utm_ga: generate a UTM-tagged URL for Google Analytics tracking
- word_frequency: measure the absolute and weighted frequency of words in
collection of documents


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Timor Omar was born in Germany in 1999 and now resides in woodbridge, Virginia. He is now attending George Mason University and is majoring in Applied Computer science with a concentraiton of Game Design. He also really loves his girlfriend, Gianna. Another very big part of his life is his very successful youtube channel. I have it linked down below for you to go and subscribe.
Timor's Youtube Channel


Tron Game
Basic Snake game I made in AP Computer Science. Written in java it uses the JPanel to create a window.
Made in AP Computer Science with David Ruth and Charles Jacob. A simple Snake game that keeps track of the winner in a two player mode (Kinda like slither.io) or classic single player. This game also implments music in java. Use arrow keys or WASD to move, 1 and 2 to change player modes and R to restart.
| Source Code ZIP |
| Download As JAR |


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You have changes that have not been saved (either because of a server error or disconnect). You can
continue to edit the document locally (offline mode). Your changes will be sent to the server the
next time it is available. If you navigate away or close this browser tab, your changes will be lost!
You have {{ pendingActions.size() }} unsaved change(s).


Username:
Email: Enter a valid email address such<EMAIL_ADDRESS>City:
-- Select Province -- Alberta British Columbia Saskatchewan Manitoba Ontario Quebec


Take a mere sliver of an idea, and ask it questions. Put on different glasses and look at it again. Hire us for a Thinkathon, and we'll jumpstart your project.
In the early days of the Creative Commons Certificate program, we met with the team to run a think-a-thon. Over the years, the We Are Open Co-op has done a variety of things with CC. We're huge fans of their work!
Passbolt is an open source password manager. We ran a think-a-thon, provided them with a long term strategy and worked together with Passbolt for over 6 months. We will work together again too!
We are helping the Inter-American Development Bank use digital credentials to support the adoption of standards, practices and policies that serve as pillars of the digital economy in the LAC region.
London CLC is an award-winning team of expert teachers, computing and multimedia specialists, trainers, technicians, filmmakers, designers and family learning tutors. We have helped them with a number of things, including strategy, marketing, and their Lambeth Digital Champions project.
Participate is a B-Corp that supports educators as they actively participate in learning communities, ignite change and create impact on a global scale. We worked with them to create a knowledge base for the digital credentials community called Badge Wiki.
The University of Southampton has been working with partners to develop techniques that will enhance the ways people can interact with heritage sites. We helped them think through the next steps for the project, including a session in Japan with partners in the region.


Oman College president wins Distinguished Leadership Award
by Times News ServiceMuscat: The International Academic Accreditation Services Authority has granted the Distinguished Leadership Award for Higher Education Institutions to Dr. Moudhi Al Ghelani, the President of the Executive Council of Al Bayan College.
A statement issued online by Oman News Agency (ONA), said: “Dr. Moudhi Al Ghelani, the President of the Executive Council of Al Bayan College, received the Distinguished Leadership Award for Higher Education Institutions by the International Academic Accreditation Services Authority accredited by the British Government during the annual international conference held by the Authority in the Malaysian capital of Kuala Lumpur.”


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Github Repository NPM Module


{% extends "cradmin_email/html_message_base.django.html" %}
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{% block contents %}
This is a test, {{ name }}
{% cradmin_email_link "http://example.com" %}
A link
{% end_cradmin_email_link %}
is sometimes useful!
{% cradmin_email_primary_buttonlink "http://example.com" %}
Click here to visit example.com
{% end_cradmin_email_primary_buttonlink %}
Human rumours lead to the procedure.
Virtual, delighted processors unearthly deserve a calm, collective alien.
I gather this hypnosis, it's called chemical metamorphosis.
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When the space suit views for hyperspace, all sensors capture proud, colorful lieutenant commanders.
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When the captain harvests for earth, all planets question quirky, vital ships.
{% with url="http://example.com" %}
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UKCloud Limited (“UKC”) and Virtual Infrastructure Group Limited (“VIG”) (together “the Companies”) – in Compulsory Liquidation
On 25 October 2022, the Companies were placed into Liquidation with the Official Receiver appointed as Liquidator and J Robinson and A M Hudson simultaneously appointed as Special Managers to manage the liquidation process on behalf of the Official Receiver.
Further information regarding the Liquidations can be found here: https://www.gov.uk/government/news/virtual-infrastructure-group-limited-and-ukcloud-limited-information-for-creditors-and-interested-parties
Contact details:
For any general queries relating to the Liquidations please email<EMAIL_ADDRESS>For customer related queries please email<EMAIL_ADDRESS>For supplier related queries please email<EMAIL_ADDRESS>How to add products to the vCloud Usage Meter for the VMware Licence Service
Overview
The VMware Licence Service (VLS) enables you to switch to a flexible, VMware Cloud Provider Programme (VCPP) consumption-based licensing model.
As the VLS licensing model is consumption-based, you must submit reports to VMware to detail your usage of VMware products. To generate these reports, you need to install the vCloud Usage Meter (Usage Meter).
This article provides all the information you need to add popular products to the Usage Meter. For more information about the Usage Meter, see the VMware documentation here.
Prerequisites
You must have installed and registered the vCloud Usage Meter. For more information, see How to install the vCloud Usage Meter for the VMware Licence Service.
Adding products to the Usage Meter
To collect VMware product usage information for your VLS entitlement, you must add each product that you require to be monitored to the Usage Meter. For each product that you add, the Usage Meter might present a certificate that you can verify, which you'll need to accept before proceeding.
The instructions below show how to enable monitoring for some of the base VMware products. For instructions for additional products, see the VMware documentation here.
Adding a vCenter Server to the Usage Meter
You can add one or more vCenter Server instances to the Usage Meter.
Creating a role for the Usage Meter
Before you can add a vCenter Server to the Usage Meter, you need to create a new role with the correct read only permission:
In vCenter, navigate to Administration > Roles, then click the Create role button.
Enter Role name, for example,
usagemeter_RO
.Select the Profile-driven storage > Profile-driven storage view permission and click OK.
Navigate to Administration > Users and Groups.
Create a new local user, for example,
usagemeter
and record the password.Navigate to Hosts and Clusters and select the root server object.
Select Permissions and click the Add button.
Enter the user and role created in these steps and select Propagate to children, then click OK.
Adding a vCenter Server
To monitor vCenter Servers using the Usage Meter, verify that you have the host name and the above credentials for the vCenter Server you're adding.
To add a vCenter Server to the Usage Meter:
Log in to the Usage Meter web application using the
usagemeter
account.In the main menu bar of the vCloud Usage Meter web interface, click Products.
In the left navigation pane, click vCenter / VMware Cloud Foundation.
In the vCenter / VMware Cloud Foundation page, click the Add button.
In the Endpoint field, enter the host name or IP address of the vCenter Server instance. Leave the default port number as 443.
In the Username and Password fields, enter the FQDN credentials of the Usage Meter user created above or created previously, for example,
<EMAIL_ADDRESS>.(Optional) If you use an external Platform Services Controller, select the Use External Platform Services Controller (PSC) check box and enter the IP address or host name of the external Platform Services Controller.
(Optional) Confirm if vCloud Usage Meter must meter the virtual machines that are protected by all Site Recovery Manager instances, associated with the registered vCenter Server instance. To disable the metering of Site Recovery Manager, deselect the Meter VMs protected by all SRMs check box.
Click Add.
For each vCenter Server instance that you add, vCloud Usage Meter presents a certificate that you must accept before proceeding.
To accept the certificate, on the vCenter / VMware Cloud Foundation page, select the vCenter Server instance and, in the Status column, click Please accept certificate, then select the vCenter in the popup window.
In the Certificate Info window, check the certificate is correct and click ACCEPT.
Once added correctly, the status column will report an OK status. If an error occurs, you'll see a message against the server instance indicating the issue.
Adding NSX-v Manager to the Usage Meter
To meter the product consumption data of NSX Data Center for vSphere, you must add the NSX Manager instance to vCloud Usage Meter.
To Add the NSX Manager to the Usage Meter, you must have already added the vCenter Server instance associated with the NSX-v Manager to the vCloud Usage Meter list of vCenter Server instances.
You must have the CLI Admin username and password for the NSX-v Manager appliance that you want to add.
To add NSX Manager to the Usage Meter:
In the main menu bar of the vCloud Usage Meter web interface, click Products.
In the left navigation bar, click NSX-v.
On the NSX-v page, click the Add button.
In the vCenter Host Name field, select the appropriate vCenter Server host name or IP address.
In the Endpoint field, enter the host name or IP address of the NSX-v Manager appliance.
In the Username and Password fields, enter the NSX-v Manager CLI Admin credentials.
Click Add.
For each NSX Manager that you add, vCloud Usage Meter may present a certificate that you must accept before proceeding.
To accept the certificate, on the NSX-v page, select the NSX Manager instance and, in the Status column, click Please accept certificate, then select the NSX-v Manager in the popup window.
In the Certificate Info window, check the certificate is correct and click ACCEPT.
Once added correctly the status column will report an OK status. If an error occurs, you'll see a message against the server instance indicating the issue.
Adding NSX-T to the Usage Meter
To meter the product consumption data of NSX-T Data Center, you must add the NSX-T Manager instance to vCloud Usage Meter.
You must add the vCenter Server instance associated with the NSX-T Manager to the vCloud Usage Meter list of vCenter Server instances.
You must have the CLI Admin
username and password for the NSX-T Manager instance that you want to add.
To add NSX-T to the Usage Meter:
In the main menu bar of the vCloud Usage Meter web interface, click Products.
In the left navigation bar, click NSX-T.
On the NSX-T page, click the Add button.
In the Endpoint field, enter the host name or IP address of the NSX-T Manager instance.
In the Username and Password fields, enter the NSX-T Manager CLI Admin credentials.
Click Add.
For each NSX-T instance that you add, vCloud Usage Meter may present a certificate that you must accept before proceeding.
To accept the certificate, on the NSX-T page, select the NSX Manager instance and, in the Status column, click Please accept certificate, then select the NSX-T instance in the popup window.
In the Certificate Info window, check the certificate is correct and click ACCEPT.
Adding vRealize Operations Manager to the Usage Meter
The vROPs Manager solutions and adapters must be properly configured. For more information, see Connecting to Data Sources in the vRealize Operations Manager Documentation.
The vROPs Manager instance must be registered as a vCenter Server extension.
The account used for vROPs access must have at least read-only privileges.
Note
To prevent metering issues with vROps, ensure vROps, vCenter and the Usage Meter are all using the same time zone.
To add vROPs to the Usage Meter:
In the main menu bar of the vCloud Usage Meter web interface, click Products.
In the left navigation bar, click vRealize Operations.
On the vRealize Operations page, click Add.
In the Endpoint field, enter the host name or IP address of the vRealize Operations Manager instance. The default port number is 443.
In the Username and Password fields, enter the credentials for the vRealize Operations Manager instance.
Click Add.
For each vROPs instance that you add, vCloud Usage Meter may present a certificate that you must accept before proceeding.
To accept the certificate, on the vRealize Operations page, select the vROPs Manager instance and, in the Status column, click Please accept certificate, then select the vROPs instance in the popup window.
In the Certificate Info window, check the certificate is correct and click ACCEPT.
How to limit the scope of vROPs to only meter a subset of VMs.
vCloud Usage Meter can meter a subset of virtual machines that vRealize Operations Manager controls. To support such a topology, you must create a specific user for vRealize Operations Manager, who is granted access to the VMs in vROPs, and use this account for metering in vCloud Usage Meter.
To enable metering of only a subset of VMs registered in vROPs:
Log in to the Administration interface of vRealize Operations Manager.
Navigate to Administration > Access Control and on the User Accounts tab, click the Add button.
In the Add User window, enter the basic user information and click Next.
To assign roles and allocate resources, in the Assign Groups and Permissions window, click Objects.
From the Select Role drop-down menu, select Administrator and select the Assign this role to the user check box.
In the Select Object Hierarchies pane, select the vSphere Storage check box.
The vSphere inventory tree appears in the Select Object pane.
In the Select Object pane, select the virtual machines to be metered and click Finish.
Go to the vCloud Usage Meter web interface and add or update the user credentials for vRealize Operations Manager to use the new account.
Adding Horizon to the Usage Meter
Customers can meter Horizon deployments starting with Horizon 7.10 and up.
Note
Horizon metering does not include NSX for Desktop or VSAN for Desktop metering, these must be added separately to the Usage Meter using the NSX or vSAN metering.
Horizon usage is based on the highest concurrent connections per month. Usage Meter will track the calendar month statistics and will reset its count at the beginning of a new month. This supports both standard Horizon desktops and Horizon Apps usage.
If a Horizon Connection Server exists behind a load balancer, you must add a Connection Server directly to vCloud Usage Meter, not via a load balanced IP.
If you've deployed multiple Connection Servers in a load balanced cluster, you must add only one of the Connection Servers to vCloud Usage Meter.
To add Horizon to the Usage Meter:
In the main menu bar of the vCloud Usage Meter web interface, click Products.
In the left navigation bar, click Horizon.
On the Horizon page, click Add.
In the Endpoint field, enter the host name or IP address of your VMware Horizon instance.
In the Username and Password fields, enter the credentials for the VMware Horizon instance.
Enter the VMware Horizon domain name.
Click Add.
Checking the monitoring status
Once you've finished adding all of your metered products, you can check monitoring status to ensure the Usage Meter is monitoring products correctly.
In the main menu bar of the vCloud Usage Meter web interface, click Notifications.
Using the Time range fields you can change the dates to display.
The top area displays an overall status of each day's collections. Each day is represented by an icon displaying the overall collection status.
The bottom area displays the current month's worth of collections, which you can filter using the columns or by clicking on the date in the top section.
If collections are failing, hover the mouse over the icon in the top section to display how many errors were recorded. Click the icon to filter the bottom window and display the error messages.
If you're unable to diagnose the cause of the errors, you can use the Support option from the menu bar to generate a log bundle and then raise a ticket in My Calls and attach the log for investigation.
Setting licence packs
Once you've completed the addition of VMware products to the Usage Meter and it's performed a discovery of the environment, you need to configure the discovered licences to set the correct billing category.
In the main menu bar of the vCloud Usage Meter web interface, click Licenses.
In the Licenses window, you'll see all the discovered licences.
Ensure all UKCloud VLS supplied licences have the Licenses Category set to Rental.
For any old licences that were part of your old perpetual VMware licence, select the licence, click EDIT and change the License Category to Perpetual, then click SAVE.
Related articles
If you're planning to upgrade any of your VLS-licensed VMware products, you must request new licences before upgrading. For more information, see How to request a new VLS license.
Feedback
If you find a problem with this article, click Improve this Doc to make the change yourself or raise an issue in GitHub. If you have an idea for how we could improve any of our services, send an email to feedback@ukcloud.com.


Take this quiz to see what branch of IP Law you are most cut out for! Once you know your 'type', explore the links below to learn about what each branch entails and the differences between them.
Copyright is a legal right over the use and distribution of an original work granted to its creator, usually for a limited time. These exclusive rights are not absolute and are governed by Title 17 of the US Code (USC 17), which outlines fundamentals of copyright law and its exceptions, including fair use. Copyrightable works must be original expressions of an idea that are not functional products; an idea itself also cannot be copyrighted.
Trademarks are symbols or devices that are legally registered or established by use as representative marks of a company or product. Chapter 22 of US Code Title 15 outlines trademark law, defining what is meant by "symbols or devices" and establishing what sorts of things are eligible for trademarks. Examples of trademarkable symbols include colors, sounds, smells, one or more words, and stylized images.
Patents are exclusive rights over development and sale of a novel functional product, device, or process, granted to the inventor for ~20 years. Patent applications must consist of drawings, written description of the product, and claims detailing precisely what is being patented. An inventor may apply for a utility patent or a design patent, although the former is more common since design patents often overlap with copyrights.


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Double click to mark an item off, click on "X" to delete an item, and drag items to reorder.
Add


 I lost track of which one. Is it already merged?
Yes
Aah, now I see. Sorry, I missed that.
Ok, I'll merge this stuff into that file.
I agree that we could be more consistent about sing/plurals. We have isomorphism.lean
and products.lean
... etc...
Ok, I pushed a fix
I would prefer if everything was singular, I think
though I think mathlib in general isn't consistent here either
We'll wait till we get nice refactoring tools. I think there are plans for those in :four_leaf_clover:
{% endraw %}


Webeye Coordinates Converter
Path -> Webeye Polygon
This software is proprietary and might not work as expected because it is not a finished product.
Your path DMS format
Output decimal format


The hospital management system (HMS) is an integrated software that handles different directions of clinic workflows. It manages the smooth healthcare performance along with administrative, medical, legal and financial control. That is a cornerstone for the successful operation of the healthcare facility
Pharmacy Management Software application that truly acts as the hub for all pharmacy management activities, including prescription dispensing, fully automated refills and reminders, workflow management, medication therapy management and STAR ratings management
A Laboratory Information Management System (LIMS) is software that allows you to effectively manage samples and associated data. By using a LIMS, your lab can automate workflows, integrate instruments, and manage samples and associated information.
UNIVERSITY MANAGEMENT SYSTEM (UMS) is a flagship product of Easy Solution which covers all aspects of Universities, Colleges or Schools. EUMS covers every minute aspects of a universities work flow and integrates all processes with user friendly interface
Student Information Sytem(SIS) module under MP Education Portal will provide all the required information about student like student’s qualification,address,school details etc.
IT infrastructure management is to provide structure and control of the functions responsible for diverse technical operations which generally involve hardware, software, and networking in both physical and virtual environments. The main goal is to minimize downtime and maintain business productivity
IT infrastructure management is to provide structure and control of the functions responsible for diverse technical operations which generally involve hardware, software, and networking in both physical and virtual environments. The main goal is to minimize downtime and maintain business productivity
Check it outInfrastructure services includes a full spectrum of Cloud/Data Services, End User Services/ End User Computing, Service Integration offerings, and Cybersecurity Services—and all services are designed to work in combination with each other
Check it outX-nihilo brings in deep domain expertise in claims management services using processes that are compliant to global standards. Our processes leverage the use of home grown automation that have been incorporated on large scale client engagements. By making use of our Payer solutions, you will be able to create digital member engagement and other aspects that are critical to your business growth. Our solution works collaboratively with social media to stop revenue leakages that may result from inflated claims billing. Intelligent and robust reporting structure provides 360 degree view of your entire claims function. X-nihilo’s Business Process Services help in reducing administrative costs, meeting regulatory compliances and enhancing the patient experience. X-nihilo’s experience with healthcare services and cutting-edge digital transformation stands us in good stead to assist our clients. We have leveraged automation extensively through our healthcare clients whether it claims adjudication or revenue cycle management. With our extensive domain talent and our 13+ years of experience working with Payers and Providers, we are in an excellent position to drive future proof digital operations while helping our clients elevate customer experience and maintain cost competitiveness.
Check it outThe healthcare industry faces multiple challenges across all fronts, be it service delivery, business models, regulations, cost pressures and emerging competition from non-traditional players. This underscores the need to bring in business process partners, while keeping the customer experience at the heart of all operations. It is imperative to leverage data, analytics, Machine Learning, Artificial Intelligence, mobile and population health management platforms. X-nihilo’s Business Process Services help in reducing administrative costs, meeting regulatory compliances and enhancing the patient experience. Hexaware’s experience with healthcare services and cutting-edge digital transformation stands us in good stead to assist our clients. We have leveraged automation extensively through our healthcare clients whether it claims adjudication or revenue cycle management. With our extensive domain talent and our 13+ years of experience working with Payers and Providers, we are in an excellent position to drive future proof digital operations while helping our clients elevate customer experience and maintain cost competitiveness.
Check it outOur commitment to innovation is deeply ingrained and is at the heart of everything we do. Bottom Up Disruption (BUD) is about crowdsourcing ideas and bringing them to reality. In 2015, we launched Customer Value Addition (CVA), doing something new, every day, for every customer. Our Automateers (engineers with a deep-rooted passion for automation), help in identifying opportunities for automation to our clients. 45% of our employees participate in Brainbox with a passion to make a difference. About 90% of our CVAs are themed around automation. Brainbox gives Hexawarians the freedom to indulge in client-centric innovation using automation and disrupt from bottom up. It’s a unique platform that harnesses the creativity and innovation potential of our employees at the grassroots.
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As a fellow in the Production Engineering Track powered by Facebook, I'm getting hands-on experience of what it's like to work in Production/Site Reliability Engineering and DevOps. We're experimenting with bash scripting, learning how to deploy websites securely, and attending talks/workshops from industry professionals along the way.
During my time as marketing assistant I worked on updating the Food and Ingredient Product Directory, a huge database of Manitoba food product and ingredient companies aimed at encouraging businesses to source their ingredients locally. I conducted outreach with over 300 companies via phone call and email in order to update their profiles in our SharePoint database and Excel spreadsheet while working without supervision.
As a participant in this intense summer program, I developed various web-based projects while receiving mentorship from Google engineers. At the end of the program, I collaborated with one teammate to create a Donkey Kong style arcade game which we then presented to an audience of peers, Googlers, and the public.


| scale_colour_viridis_d {ggplot2} | R Documentation |
The viridis
scales provide colour maps that are perceptually uniform in both
colour and black-and-white. They are also designed to be perceived by viewers
with common forms of colour blindness. See also
https://bids.github.io/colormap/.
scale_colour_viridis_d( ..., alpha = 1, begin = 0, end = 1, direction = 1, option = "D", aesthetics = "colour" ) scale_fill_viridis_d( ..., alpha = 1, begin = 0, end = 1, direction = 1, option = "D", aesthetics = "fill" ) scale_colour_viridis_c( ..., alpha = 1, begin = 0, end = 1, direction = 1, option = "D", values = NULL, space = "Lab", na.value = "grey50", guide = "colourbar", aesthetics = "colour" ) scale_fill_viridis_c( ..., alpha = 1, begin = 0, end = 1, direction = 1, option = "D", values = NULL, space = "Lab", na.value = "grey50", guide = "colourbar", aesthetics = "fill" ) scale_colour_viridis_b( ..., alpha = 1, begin = 0, end = 1, direction = 1, option = "D", values = NULL, space = "Lab", na.value = "grey50", guide = "coloursteps", aesthetics = "colour" ) scale_fill_viridis_b( ..., alpha = 1, begin = 0, end = 1, direction = 1, option = "D", values = NULL, space = "Lab", na.value = "grey50", guide = "coloursteps", aesthetics = "fill" )
... |
Other arguments passed on to |
alpha |
The alpha transparency, a number in [0,1], see argument alpha in
|
begin |
The (corrected) hue in [0,1] at which the viridis colormap begins. |
end |
The (corrected) hue in [0,1] at which the viridis colormap ends. |
direction |
Sets the order of colors in the scale. If 1, the default, colors are ordered from darkest to lightest. If -1, the order of colors is reversed. |
option |
A character string indicating the colormap option to use. Four options are available: "magma" (or "A"), "inferno" (or "B"), "plasma" (or "C"), "viridis" (or "D", the default option) and "cividis" (or "E"). |
aesthetics |
Character string or vector of character strings listing the
name(s) of the aesthetic(s) that this scale works with. This can be useful, for
example, to apply colour settings to the |
values |
if colours should not be evenly positioned along the gradient
this vector gives the position (between 0 and 1) for each colour in the
|
space |
colour space in which to calculate gradient. Must be "Lab" - other values are deprecated. |
na.value |
Missing values will be replaced with this value. |
guide |
A function used to create a guide or its name. See
|
Other colour scales:
scale_alpha()
,
scale_colour_brewer()
,
scale_colour_gradient()
,
scale_colour_grey()
,
scale_colour_hue()
,
scale_colour_steps()
# viridis is the default colour/fill scale for ordered factors dsamp <- diamonds[sample(nrow(diamonds), 1000), ] ggplot(dsamp, aes(carat, price)) + geom_point(aes(colour = clarity)) # Use viridis_d with discrete data txsamp <- subset(txhousing, city %in% c("Houston", "Fort Worth", "San Antonio", "Dallas", "Austin")) (d <- ggplot(data = txsamp, aes(x = sales, y = median)) + geom_point(aes(colour = city))) d + scale_colour_viridis_d() # Change scale label d + scale_colour_viridis_d("City\nCenter") # Select palette to use, see ?scales::viridis_pal for more details d + scale_colour_viridis_d(option = "plasma") d + scale_colour_viridis_d(option = "inferno") # scale_fill_viridis_d works just the same as # scale_colour_viridis_d but for fill colours p <- ggplot(txsamp, aes(x = median, fill = city)) + geom_histogram(position = "dodge", binwidth = 15000) p + scale_fill_viridis_d() # the order of colour can be reversed p + scale_fill_viridis_d(direction = -1) # Use viridis_c with continous data (v <- ggplot(faithfuld) + geom_tile(aes(waiting, eruptions, fill = density))) v + scale_fill_viridis_c() v + scale_fill_viridis_c(option = "plasma") # Use viridis_b to bin continuous data before mapping v + scale_fill_viridis_b()


...
Values will be changed for the next day.
Configure Daily Hue Schedules
When do you wake up (weekdays)?
"Good Morning" enabled
Which scene should be set (id)?
Which group should be set?
When do you go sleep?
"Good Night" enabled
Which group should be set?
How many minutes before/after sunset shoud light starts?
"Sunstatus" enabled
Which scene should be set (id)?
Which group should be set?
How many minutes before/after sunrise shoud light turn off?
What time for a dedicated evening scene?
"Good Evening" enabled
Which scene should be set (id)?
Which group should be set?
Save


WITNESS LIST
Veteran Affairs & Military Installations-S/C Border Security
April 6, 2015 11:00 AM
FOR:
Dix, George Professor (Self), Austin, TX
Gutierrez, Dahlia Marie Attorney (Self), Austin, TX
ON:
Edmonds, Shannon Director of Governmental Relations (Texas District and County
Attorneys Associatikn), Austin, TX
Shackelford, Wesley Deputy Director (Texas Indigent Defense Commission), Austin, TX
Registering, but not testifying:
FOR:
Lippincott, Elizabeth (Texas Border Coalition), Austin, TX
Morton, Peggy (Self; Austin Interfaith), Austin, TX
Patterson, Dr. Jeffery Executive Director (Texas Catholic Conference of Bishops), Austin,
TX
FOR:
Patterson, Dr. Jeffery Executive Director (Texas Catholic Conference of Bishops), Austin,
TX
Registering, but not testifying:
FOR:
Houston, Joshua General Counsel (Texas Impact), Austin, TX
Lippincott, Elizabeth (Texas Border Coalition), Austin, TX
AGAINST:
Korkmas, Thomas (Self; TFIRE), Houston, TX
Theiss, Elizabeth (Self), Houston, TX
ON:
Dole, Robert (Texas Department of State Health Services), Austin, TX
Eaton, Marilyn (Health and Human Services Commission), Austin, TX
Loughran, Robert (Self; Foster LLP), Austin, TX
Randall, Patrick (Health and Human Services Commission), Austin, TX
AGAINST:
Salazar, Placido Veterans' Legislation Liaison (Self; Dr Hector P Garcia American GI
Forum Org), Universal City, TX
ON:
Chaney, Gregory Adjutant General's Chief of Staff (Texas Military), Austin, TX
AGAINST:
Korkmas, Thomas (Self; TFIRE), Houston, TX
ON:
McFarland, Adrienne Deputy Attorney General, Criminal Division (Office of Attorney
General), Austin, TX
Smirl, Cody (Office of Attorney General), Austin, TX
WITNESS LIST
Veteran Affairs & Military Installations-S/C Border Security
April 6, 2015 11:00 AM
Registering, but not testifying:
FOR:
Lippincott, Elizabeth (Texas Border Coalition), Austin, TX
Patterson, Dr. Jeffery Executive Director (Texas Catholic Conference of Bishops), Austin,
TX
AGAINST:
Tule-Romain, Lorena (Self), Austin, TX
FOR:
Korkmas, Thomas (also providing written testimony) (Self; TFIRE), Houston, Texas, TX
Najvar, Michael (also providing written testimony) (Self), Gonzales, TX
Theiss, Elizabeth (Self), Houston, TX
AGAINST:
Adams, Norman E. Adams Co-Founder Texans For Sensible Immigration Policy (also
providing written testimony) (Self; Texans for sensible immigration policy), Houston, TX
Adossi, Nancy (UH Youth Empowerment Alliance), Houston, TX
Aguirre, Sheridan (Self; University Leadership Initiative), Austin, TX
Alatorre, Montserrat (Self; University Leadership initiative), Austin, TX
Alemu, Deborah (Self; University leadership initiative), Austin, TX
Alvarez, Karina (Self; Texas A&M International University), Laredo, TX
Angeles, Veronica Waitress (Self; United We Dream), Cedar Park, TX
Arredondo, Yuliana (Self; YES Prep Public Schools), Houston, TX
Beeson, Ann Executive Director, CPPP (also providing written testimony) (Center for
Public Policy Priorities), Austin, TX
Belman, Mizraim (Self), Austin, TX
Benavides, Fernando (Self; Arlington ISD), Pantego, TX
Boehne, Caitlin Staff Attorney (also providing written testimony) (Self; Equal Justice
Center), Austin, TX
Candelaria Olvera, Daniel (Self; Youth Empowerment Alliance), League City, Texas, TX
Capo, Zeph (Self; Houston Community College), Houston, TX
Cardenas, Ruben (also providing written testimony) (Self), Austin, TX
Castilleja, Alma (Self), Dayton, TX
Castillo, Blanca (Self; North Texas Dream Team), Dallas, TX
De los reyes, Diana (Self; ULI), Austin, TX
Dean, Courtney (Self), Arlington, TX
Del Valle, Pamela (Self), Austin, TX
Espiricueta, Rubi (Self; University leadership initiative), Dallas, TX
Estrada, Aleta Director of College Readiness (Self; Uplift Education), Irving, TX
Estrada, Carlos (YEA - Youth Empowerment Alliance), Houston, TX
Estrada munoz, Yolanda (Self), Austin, TX
Feller, Andrew (Self; KIPP Austin Public Schools), Austin, TX
Flores, Ana (Self; University leadership initiative and TX tuition Equity campaign),
Austin, TX
WITNESS LIST
Veteran Affairs & Military Installations-S/C Border Security
April 6, 2015 11:00 AM
Flores, Selena (Self), Dayton, TX
Formby, Erin UT Student (Self; University Leadership Initiative), Fort worth, TX
Fructuoso, Marilu (Self), Del valle, TX
Fullbright, Jim Teacher (Self), Austin, TX
Gallardo, Maxie (Workers Defense Project), Austin, TX
Galvan, Daniela (Self; University Leadership Iniative), Round rock, TX
Garcia, Andrea (Self; University Leadership Initiative), Austin, TX
Garcia, Domingo Former tx state representative & author of hb1403 (Self), Austin, tx, TX
Garcia, Maria Yolisma (Self; North Texas Dream Team), Dallas, TX
Garcia, Victor (North texas dream team), Grand prairie, TX
Garibay, Montserrat National Board Certified teacher (Self), Austin, TX
Garza, Melanie (Self; Council for minority student affairs), College station, TX
Godsey, Lynn Pastor (Self; Coalicion Evangelica de Texas), Ennis, TX
Gomez, Reyna (Self), Dayton, TX
Gonzalez, Rosa (also providing written testimony) (Self), San Antonio, TX
Granados, Jose (Self; ULI), Austin, TX
Guerrero Quijano, Juan (University Leadership Initiative), Grand Prairie, TX
Hampson, Sarah (Self; YES Prep Public Schools), Houston, TX
Hernandez, Carlos Drilling engineer (Self; ULI), Houston, TX
Hernandez, Luis (Self; University leadership initiative), Austin, TX
Hernandez Osti, Rebeca (Self; ULI), Austin, TX
Herrera, Felicite (Self), Baytown, TX
Hines, Barbara Attorney (Self), Austin, TX
Hinojosa, Carlo (Self; University Leadership Initative), Austin, TX
Interiano, Douglas CEO (also providing written testimony) (Self; Proyecto inmigrante
ICS Inc), Fort worth, TX
Johnson, Jeffrey (Self), Austin, TX, TX
Johnson, Jonathan (Self), Austin, TX
Kolly, Faye Senior attorney, DMCA, LLP (Self; American Immigration Lawyers
Association), Austin, TX
Korgel, Skyler (also providing written testimony) (Self; University Leadership Initiative),
Austin, TX
Lara, Rene Legislative Dir. (Self; Texas AFL-CIO), Austin, TX
Lavallo, Will (Workers defense project), Austin, TX
Leyva, Blanca Ms (Self; Council of minority affairs), Dallas, TX
Lopez, Danielle Texas voter (Self; Mexican American Studies), Pharr, TX
Lopez, Edilsa (Self; University leadership initiative), Austin, TX
Lopez, Mirla (Self; Youth Empowerment Alliance, University Leadership Initiative),
Pasadena, TX
Loughran, Robert (Self; Foster LLP), Austin, TX
Luna, Ramiro Mr (Self; Latino center for leadership development), Dallas, TX
Macias, Luis (Dream Factory), Dallas, TX, TX
WITNESS LIST
Veteran Affairs & Military Installations-S/C Border Security
April 6, 2015 11:00 AM
Magallanes, Liz (Self; North Texas Dream Team, Latino Center for Leadership
Development), Dallas, TX
Malagon, Marco A. (Self; North Texas Dream Team), Princeton, TX
Maldonado Castillo, Luis Jaciel College Senior (also providing written testimony) (Self;
Minority Affairs Council at UT-Pan American), Edinburg, TX
Marcos, Anayeli (Self; University Leadership Initiative), Austin, TX
Martinez, Celeste (Self; ULI), Austin, TX
Martinez, Estefania (Self), Baytown, Tx, TX
Martinez, Mariana (Self), Baytown, TX
Martinez Arriaga, Carlos (Self; Texas College Democrats), Fort Worth, TX
Melo, Melinda (Self; Minority Affairs Council at The University of Texas Pan American),
Mission, TX
Melo, Milena (Self; UTRGV Minority Affairs Council), San Antonio, TX
Mendoza, Elia r State lulac director (League of united latin american citizens ( lulac)), San
antonio, TX
Mondragon, Ximena (Self; KIPP), Houston, TX
Mondragon, Yesenia Texas DREAMer (Self), Austin, TX
Moore, Tim Pastor (Self; Walk Worthy Baptist Church), Austin, TX
Morales, Diana (Self; University Leadership Initiative), Austin, TX
Moreno, Celina Legislative Staff Attorney (also providing written testimony) (Self;
MALDEF), San Antonio, TX
Moreno, Lissette (Self; North Texas Dream Team), Dallas, TX
Morton, Peggy (also providing written testimony) (Self; Austin Interfaith), Austin, TX
Noriega, Rick Former House member (also providing written testimony) (Self), Houston,
TX
O'Brien, Sandi (Self), Arlington, TX
Ochoa, Jesus (Self), Laredo, TX
Ontiveros, Lourdes (Self; North texas dream team), Mesquite, TX
Ontiveros, Mario (Self; North texas dream team), Mesquite, TX
Ortiz Garcia, Ayvin (Self; University leadership initiative), Austin, TX
Patel, Taral (Self), Katy, TX
Patterson, Dr. Jeffery Executive Director (Texas Catholic Conference of Bishops), Austin,
TX
Paz, Pedro (Self; North Texas Dream Team), Denton, TX
Perez ramirez, Karla (Self; Youth empowerment alliance), Pasadena, TX
Pizana, Cynthia (Self), Baytown, TX
Poirot, Collin (Self), Austin, TX
Price, Steven Bexar County Democratic Party-Veteran Affairs (Self; Bexar County
Democratic Party - Veteran Affairs Committee), San Antonio, TX
Ramirez, Cynthia (Self), Austin, TX
Ramirez, Joseph (also providing written testimony) (Self; Breakthrough Austin), Austin,
TX
Redick, Jason (Self; North texas conference of board of church and Society united
methodist church), Carrollton, TX
WITNESS LIST
Veteran Affairs & Military Installations-S/C Border Security
April 6, 2015 11:00 AM
Reyes, George Past President-TACHE (also providing written testimony) (Self; Texas
Association Of Chicanos in Higher Education), Manchaca, TX
Reza, Maria Undocumented student (also providing written testimony) (Self; United We
Dream), Austin, TX
Rodriguez, A.J. (Texas Association of Business), San Antonio, TX
Romero, Jesse (Texas Association for Bilingual Education (TABE)), San Antonio, TX
Ronco, Soraya (Self; North Texas Dream Team, LCLD), Irving, TX
Rotnofsky, Xavier President-Elect (also providing written testimony) (Self), Austin, TX
Sainz, George (Self; North Texas Dream Team), Dallas, TX
Salazar, Placido Dr Hector P Garcia amer GI Forum Org (also providing written
testimony) (Self; Dr Hector P Garcia American GI Forum Org), Universal City, TX
Sikes, Chloe Outreach consultant (Self; Texas Criminal Justice Coalition), Austin, tx, TX
Simpson, Matt (ACLU of Texas), Austin, TX
Timm, Emily Director of Research and Policy (Workers Defense Project), Austin, TX
Tovar, Sandra (Self; North Texas Dream Team), Fort Worth, TX
Trevino, Emily (Self), Baytown, TX
Urdiales, Cristina Lizeth UT Austin Student (Self; University Leadership Initiative),
Houston, TX
Vasquez, Azlee (Self), Laredo, TX
Villasenor, Alejandra (Self; Youth empowerment alliance), Pasadena, TX
Wimmer, Zachary (Self; U.L.I), Dallas/tx, TX
Zapata-Martinez, Deyanira (Self; University Leadership Initiative), Austin, TX
Zelaya, Jose Luis My Education Matters (Self; Council for Minority Student Affairs),
College station, TX
ON:
Brown, Susan Assistant Commissioner (Texas Higher Education Coordinating Board),
Austin, TX
Caldwell, Jane (Texas Higher Education Coordinating Board), Austin, TX
Franz, William General Counsel (Texas Higher Education Coordinating Board), Austin,
TX
Isett, Carl (Self), Lubbock, TX
McCraw, Steven Director (Texas Department of Public Safety), Austin, TX
Paredes, Raymund Commissioner of Higher Education (Texas Higher Education
Coordinating Board), Austin, TX
Touza-Medina, Angela-Jo Chair, Immigrant Services Network of Austin (Immigrant
Services Network of Austin), Austin, TX
Registering, but not testifying:
FOR:
Burnet, James (Self), Austin, TX
Cushing, Blair (Self), Austin, TX
Garcia, Garry Mr (Self), Pflugerville, TX
Hayter, Russell (Self), San Marcos, TX
Martinez, Maria (Self), Houston, TX
Najvar, Susan (Self), Gonzales, TX
WITNESS LIST
Veteran Affairs & Military Installations-S/C Border Security
April 6, 2015 11:00 AM
Thompson, Martha Retired (Self), Austin, TX
Yesak, Alul College counselor (Self; Academic Success Program), Dallas, TX
AGAINST:
Acevedo, Fidel Texas LULAC Legislative Chair (Self; Texas Lulac), Austin, TX
Aguilar, Luis (Self), Corsicana, TX
Aguirre, Antolin Comunity Lider (Self), Austin, TX
Alvarez, Rosa ysela Teacher (Self), Austin, TX
Amaya, Everardo (Self), Dallas, TX
Anton, Pauline Executive Director (Self; Texas Association of Mexican American
Chambers of Commerce (TAMACC)), Austin, TX
Avalos, Yocelin (Self), Austin, TX
Banks, Yannis (Texas naacp), Austin, TX
Barber, Evan (Self; League of United Latin American Citizens), Austin/tx, TX
Briceno, Maria (Self; Dream factory), Arlington, TX
Caceres, Alejandro (Self), Austin, TX
Calderon, Francisco (Council for Minority Student's Affairs), Grand Prairie, TX
Campos, Loren (Self; Youth Empowerment Alliance), Houston, TX
Campuzano, Fidel UT Austin Student (Self; University Leadership Initiative), Austin, TX
Cardenas, Claudia (Self), Houston, TX
Cardoso, Juan (Self), Houston, TX
Carmona, Katia (Self; Youth Empowerment Alliance), Conroe, TX
Carmona, Katia (Self), Conroe, TX
Carreon, Jennifer (Self), Austin, TX
Casson-Deweese, Bonnie Dir. Of College Counseling (Self; KIPP through College),
Houston, TX
Chang, Chantal Student (Self; University Leadership Initiative), Austin, TX
Chavez, Jonathan (Latino CLD), Arlington, TX
Collinson-Streng, Paul Rev. (Self), Austin, TX
Correa, Ana (Self), Austin, TX
Cortes, Gabriel Texas Baptist Hispanic Education Initiative Direct (Texas Baptist Hispanic
Education Initiative), Dallas, TX
Cortez, Carolina (Self; University Leadership Initiative), Austin, TX
Davila, Larissa (Self), Texas, TX
DeFrates, Ana Texas Director for Policy and Advocacy (National Latina Institute for
Reproductive Health), Austin, TX
Deniss, Cecilia Mother (Self), Austin, TX
Dominguez, Erick (Self; YEA), Houston, TX
Dominguez, Maria Teacher (Self), Austin, TX
Dominguez, Selene (Self; AIRC AND ULI), Austin, TX
Espinosa, Abraham (Self; Fiel Houston), Houston, TX
Espinosa, Cesar Executive director (Fiel houston), Houston, TX
Galvan, Alfredo (Self; University leadership initiative), Austin, TX
Galvan, Maricela (Self; University Leadership Initiative), Austin, TX
WITNESS LIST
Veteran Affairs & Military Installations-S/C Border Security
April 6, 2015 11:00 AM
Garcia, Alex (Self), Lewisville, TX
Garcia, Emmanuel Deputy Executive Director (Self; Texas Democratic Party), Austin, TX
Godsey, Tana Pastora (Self), Ennis, TX
Gomez, Krystal Attorney (Self), Austin, TX
Gomez, Selene (Self; Mi Familia Vota Educational Fund), San antonio, TX
Gonzales, Gilberto Students (Self), Austin, TX
Gonzalez, Dora (Self), Austin, TX
Hammond, Bill Ceo (Texas association of business), Austin, TX
Harris, Dana (The Austin Chamber of Commerce), Austin, TX
Henneke, Elizabeth (Self), Austin, TX
Hernandez, Daniel (Self), Dallas, TX
Hernandez, Javier (Youth Empower Alliance at the University of Houston (YEA)),
Houston, TX
Hernandez, Jorge (University Leadership Initiative), Round Rock, TX
Hernandez, Josue (Self; Youth Empowerment Alliance), Houston, TX
Hernandez Castillo, Tania Ms. (Self), Richmond, TX
Houston, Joshua General Counsel (Texas Impact), Austin, TX
Johnson, Steven Vice President (Texas Association of Community Colleges), Austin, TX
Jones, LlaShondra (Texas Criminal Justice Coalition), Austin, TX
Koerner, Kathleen (Self), Austin, TX
Korgel, Rina (Self), Weatherford, TX
Korgel, Scott (Self), Weatherford, TX
Kreager, John (Self), Austin, TX
Leal, Maribel (Self; NTDT), Arlington, TX
Linder, Lindsey (Self), Austin, TX
Lippincott, Elizabeth (Texas Border Coalition), Austin, TX
Llovera, Javier (University leadership initiative), Austin, TX
Manuel, Carlos Director of Community Affairs for YPM of LULAC (Self; Young
Professionals Movement of Texas LULAC), Dallas, TX
Mares, Jesus (Self), Austin, TX
Martinez, Robert (Self), San Antonio, TX
Martinez, Zamanda (Self; Ntdt cld), Fort Worth, TX
Maxey, Glen (Self; Texas Democratic Party), Austin, TX
Munoz, Manuel alejandro (Self), Austin, TX
Pahl, Sarah (Self), Austin, TX
Perez, Abraham Pastor (Self; ALMA. Alianza Latina Ministerial de Austin), Austin, TX
Perez, Gilberto (Self; University Leadership Initiative), Austin, TX
Perez, Heriberto (Self; University Leadership Initiative), Austin, TX
Pinney, Leah (Self), Austin, TX
Ponce-Dominguez, Estefania Student (Self), Austin, TX
Poteat-Phelps, Jennifer Director of Trustee Services (Community College Association of
Texas Trustees), Austin, TX
Puente, Jaime (Self; Texas Graduate Student Diversity), Austin, TX
WITNESS LIST
Veteran Affairs & Military Installations-S/C Border Security
April 6, 2015 11:00 AM
Quinzi, Patty Legislative Counsel, TX American Fed. Of Teachers (Texas- American
Federation of Teachers), Austin, TX
Ramirez, Vanessa (Self; KIPP Houston Public School), Houston, TX
Reyes, Lupita (Self; North Texas Dream Team), Dallas, TX
Richards, Joanne (Self), Austin, TX
Rivera Trujillo, Yessica (Self; University Leadership Initiative), Austin, TX
Robles, Rossana (Fiel Houston), Houston, TX
Rodriguez, Tannia (Self), Baytown, TX
Rogers, Lyndon Reverend (Self), Austin, TX
Ruvalcaba, Jessica (Self), Arlington, TX
Sanchez, Miguel (Self), Willis, TX
Saucedo, Marlon (Self; University leadership initiative), Round rock, TX
Saucedo, Vanessa (Self; University Leadership Initiative), Austin, TX
Sesatty, Eduardo College Counselor (Self; KIPP San Antonio), San Antonio, TX
Smith, Douglas Policy Analyst (Self), Austin, TX, TX
Sosa, Maria (Fiel houston), Alvin, TX
Soto, Arthur (Self), Austin, TX
Soto, Maria (Self; University leadership Initiative), Austin, TX
Totman, Molly (Self), Austin, TX
Trejo, Walter (Self; University Leadership Initiative), Austin, TX
Trevino, Jesus (Self; Youth Empowerment Alliance), Houston, TX
Tule-Romain, Lorena (Self), Dallas, TX
Velis, Susie College Counselor (Self; KIPP through College), Houston, TX
Watson, Jacqueline Attorney (Self; American Immigration Lawyers Association AILA),
Austin, TX
Wiley, Remington (Self; KIPP Houston Public Schools), Houston, TX
Yancy, Justin Executive Director (Texas Business Leadership Council), Austin, TX
Yesak, Alul College advisor (Self; Academic success program), Dallas, TX
Young, Michael Associate Professor (Self; ULI), Austin, TX
Providing written testimony:
AGAINST:
Castillo, Gabriela (Self; Council for Minority Student Affairs), Dallas / Texas, TX
Flores, Rebecca Associate (Texas School Alliance), Austin, TX
Hernandez, Janeth Sb1819 hearing (Self; University initiative leadership), Hockley, TX
Reyes, Gus Dr (Self; Texas baptist christian life commission), Austin, TX
Trowbridge, Ronald Trustee Lone Star College (Self), Conroe, TX
Villarreal, Victor Austin Community College Board Chair (Self; Austin Community
College District), Austin, TX
ON:
Maldonado, Cesar Chancellor (Houston Community College System), Houston, TX


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ALICE IN WONDERLAND
February 25-28, 1982 at the Arabian Theatre
Director - Wess Hughes
Assitant Director - Cherie Boone
Musical Director - Juanaree Harper
Choreographer - Bill Myers
THE CAST
Alice - Emily Sanderson, Jacquelyn Jones, Hassen Jones
March Hare - Jay Watkins
Mad Hatter - Scott Openshaw
Dormouse - Kellum Wilson
Knave - Malen Jones
White Rabbit - Jamie Goodwin
King - Frances Maxwell
Queen of Hearts - Darlene Purcell
Mock Turtle - Linda Walton
Gryphon - Carmen Hammack
Tweedledee - Gretchel Rahaim
Tweedledum - Betty Harper
Cheshire Cat - Lydia Jones
Duchess - Mary Schwann
Margaret - Elizabeth McLaughlin
Dodo - Robert Ringo
The Flowers
Jeannie Boone, Christy Buckler, Cathey Carey, Jane Collins,
Heather Ford, Candi Glenn, Erika Helton, Ragan Jones,
Leslie Johnson, Carrie Kurykendall, Andrea MacDonald,
Danielle Price, Tracy Rahaim, Christie Reddoch, Jessica Tanner
The Birds
Ann Abney, Brooke Fagan, Michael Hess, Michelle Reddoch,
Julie Sanderson, Missy Schwann, Allison Sharpe, Amy Wallace,
Micky Wilson
The Huge Caterpillar
David Ainsworth, Greg Boone, Laura Leigh Brannon, Chip Carey,
Carol Goza, Peter Harper, Jennifer Howell, Andy MacDonald,
Stephen Nash, Allison Parish, April Rahaim, Tiffany Roberts,
Christopher Watkins


Safe for the Holidays fundraiser
Multiple prize packages; 1 goal:
Creating a society of survivors, one escape at a time.
THE COUNTDOWN BEGINS...
days left to reveal the packages
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DIRECTLY TO HELP VICTIMS ESCAPE
DOMESTIC VIOLENCE ENVIRONMENTS
DIRECTLY TO HELP VICTIMS ESCAPE
DOMESTIC VIOLENCE ENVIRONMENTS


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