Part of ad_ldap View In Hierarchy
Known subclasses: ad_ldap.Computer
An Active Directory user object.
This class exposes user-specific properties and also adds methods for locking, unlocking, disabling and enabling accounts.
| Method | __init__ | Initialize the AD object. |
| Method | __repr__ | Print object DN @return: string |
| Method | user_account_control | Undocumented |
| Method | msds_ua_control_computed | Undocumented |
| Method | display_name | Undocumented |
| Method | username | Undocumented |
| Method | disabled | Undocumented |
| Method | locked_out | Undocumented |
| Method | pwd_expired | Undocumented |
| Method | pwd_never_expires | Undocumented |
| Method | pwd_cant_change | In most cases this does not work as expected. http://www.selfadsi.org/ads-attributes/user-userAccountControl.htm#UF_PASSWD_CANT_CHANGE |
| Method | unlock | Unlock the user object in AD. |
| Method | disable | Disable the user object in AD. |
| Method | enable | Enable the user object in AD. |
| Method | groups | Get groups that user is member of |
| Method | in_group | Check if user is member of Group, and if so return True, else return False |
| Method | change_password | Change user password, must give valid old and valid new password that meets all Domain password policy When doing administrative password change (odlpassword=None) some password policies are not checked, like old remembered passwords. |
Inherited from ADObject:
| Method | distinguished_name | Undocumented |
| Method | object_class | Undocumented |
| Method | object_category | Undocumented |
| Method | created_time | Undocumented |
| Method | modified_time | Undocumented |
| Method | canonical_name | Constructs the canonical name from the distinguished name. |
| Method | get_properties | Updates self.properties with the values from AD. |
| Method | refresh | Update all properties with values from AD. |
| Method | move | Move an AD object from one part of the directory to another. |
| Method | delete | delete the current object from AD. |
| Method | set_properties | Write changed properties to Active Directory. |
Initialize the AD object.
| Parameters | distinguished_name | the full distinguished name of the object |
| properties | if a list, a list of properties to retrieve. if a hash, it is a pre-populated list of properties. If a hash is provided and mandatory properties are missing, then they will be retrieved by an ldap query | |
| domain_obj | the Domain object that the AD object is associated with |
In most cases this does not work as expected. http://www.selfadsi.org/ads-attributes/user-userAccountControl.htm#UF_PASSWD_CANT_CHANGE
Unlock the user object in AD.
| Returns | on failure | |
| Raises | UserNotLockedOut | if the user is not locked out |
Disable the user object in AD.
| Returns | on failure | |
| Raises | UserNotEnabled | if the user is already disabled |
Enable the user object in AD.
| Returns | on failure | |
| Raises | UserNotDisabled | if the user is not disabled |
Check if user is member of Group, and if so return True, else return False
Change user password, must give valid old and valid new password that meets all Domain password policy When doing administrative password change (odlpassword=None) some password policies are not checked, like old remembered passwords.
It would be nice if AD would allow us to check if user can change his password, but this option does not work as expected. Here is explanation: http://www.selfadsi.org/ads-attributes/user-userAccountControl.htm#UF_PASSWD_CANT_CHANGE
| Parameters | newpassword | Users new password, must comply with Domain password policy |
| oldpassword | Current/Old user password, not needed when doing administrative pwd change | |
| Raises | InvalidCredentials | When given invalid old user password. Note that giving invalid password few times might lock user account according to Domain Password Policy |
| DoesNotMeetPasswordPolicy | New password does not meed all Domain Password Policies, this includes password age, which is by default one day | |
| InsufficientAccess | User cannot change password | |
| LDAPError | all other LDAP errors |


MPAA: Rated R for disturbing and graphic depiction of violent anti-social behavior, sexuality and language. Runtime: USA:139 / UK:138 / Belgium:139 / Finland:140 / France:135 / Norway:140 Country: USA Language: English Color: Color (Technicolor) Sound Mix: Dolby Digital Certification: Australia:R / Belgium:KT / Finland:K-18 / Germany:18 / Hong Kong:IIB / Netherlands:16 / Norway:18 / UK:18 / USA:R
Rating: 10/10 - Alternative rating: A
"..Our generation has had no Great Depression, no Great War. Our war is spiritual. Our depression is our lives.."
-Tyler Durden, "Fight Club"
He has it all - the American dream.  And jet he is not happy. He feels nothing. The minutes are ticking by, and form hours, days, months, years. Nothing happens. Surrounded by emptiness, he doesn't feel alive. A chance encounter with the mysterious Tyler Durden opens his eyes to the possibility that he can live a life without material goods. The two begin to fight each other, once a week, for emotional release through physical pain and suffering. There is no better way to feel alive, than to taste death. Life has suddenly got a meaning. Soon others find out about this new way of therapy and the Fight Club is born. After a little while, every major city gets its own fight club, but that's only the first step in Tyler's complex plan. But then the events start moving out of control and the two words - fight club, mean now urban terrorism..
This is more or less the plot in David Fincher's dark and disturbing film. Off course there's much more to it. "Fight Club" plays on several levels, generates many provoking thoughts and is completely open for interpretation. The plot itself (based on the novel by Chuck Palancniuk) should be enough to make an impression, but Fincher's gritty and innovative style and the Dust Brothers' acidic chemical cocktail of dark, mood-enchancing tunes, turns this film into a macabre, visual masterpiece.
The film's main person and nameless narrator is played by Edward Norton. As always Nortondelivers an exceptional performance, flowing into the role of a cynical, but mild-minded young man. This character is probably like 90% of this world's population.  This interesting contrast is shown in everything - from clothes and visual appearance to thoughts and feelings. Tyler's complex character is portrayed by the ever popular Brad Pitt. After 25 movies, this is his strongest performance. And believe me, he is really impressive. Helena Boham Carter is the only female lead in this film, who plays a woman that attends support group meetings purely for the entertainment value. She gets unwillingly involved in the macabre and strange events coming one after another. In addition to this talented trio, the supporting cast, consisting of almost unknown actors, is equally wonderful, including Meat Loaf and Jared Leto .
Even before the release of "Fight Club" everyone were talking about Fincher's graphical portrayal of violence. There is no point to deny that "Fight Club" is violent movie. The brutal scenes of blood and bones smashed will certainly burn into your mind. But the purpose of this horrific bloodbath is not to entertain or amuse, but to make a powerful statement. Every member of Fight Club is a victim of a dehumanizing and cynical society. There is one point in the film when Tyler asks: "How much can you know about yourself if you've never been in a fight?". Pain gives these men a sense of individuality by exploring their most primitive, barbaric instincts. Violence is here a depiction of the bestial nature of man.
Fincher really overcomes himself as he is revealing each new turn in a spiral that descends into darkness and madness. "Fight Club" is not a "politically correct" film. It doesn't show the world through rose-colored classes, it shocks and provokes because of its open depiction of the horrifying reality. Issues like fascism and the whole Nazi ideology is here shown as a metaphor for the rise of national socialism. What's making this film even more interesting is the element of satire and macabre humor. This is a very difficult combination, and it works. The director's surreal style allows scenes, that under normal surcomstances would not fit in a serious and dramatic film like this one. In one scene, our narrator's appartement is displayed like a page in a furniture catalog, complete with text blurbs superimposed on the screen describing the various pieces. Add some brilliant voice-over comentaries (by Norton), and you'll get a twice as effective scene, revealing much more about our social image, than the creepy conversations in "Se7en".
"Fight Club" is a heavy, surreal experience that really gets under the skin, refusing to be ignored. Both Stanley Kubrick's "A Clockwork Orange", "Dr.Jekkyl and Mr.Hyde" and "American Psycho" come to mind, while watching this aggressive fist fight of a movie. This is actually the only film so far, that can challenge "Eyes Wide Shut" ; and like Kubrick's last masterpiece, this is a film that offers too much to absorb under one screening.
So what is this film about? Is it about troubled and self-destructive youth, the soullessness of the corporate world, or the role of love and friendship in modern society? The answer you have to find for yourself, but one thing is certain: "Fight Club" is a lasting and forceful emotional statement about modern society.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
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Related links: index of all rec.arts.movies.reviews reviews


Underground Rappers also started to follow G-Dragon's new sneakers trend
by KonVIPAfter completing his military service, G-Dragon started to take over the trend world with his first fashion collaboration.'Nike' x 'PEACEMINUSONE's Air Force 1 “Para-noise” has limited stock for now, but many celebrities has already started to get these sneakers.
Beside k-pop idols, singers and actors; hip-hop artist G-Dragon also showed his unending popularity between the underground hip-hop world.
Too many underground rappers and hip-hop artists included AOMG's Gray, Woo Wonjae, Code Cunst, Illionaire Records'Changmo, Sik-k from H1GHR Music, Giriboy and more also started to wear these sneakers and showed their regards in their social media posts.


clock_alarm
Function - Set off an alarm.
SYNOPSIS
kern_return_t clock_alarm (clock_t clock_name, alarm_type_t alarm_type, tvalspec_t alarm_time, mach_port_t alarm_reply_port);
PARAMETERS
- clock_name
-
[in clock-name send right]
The name (or control) port for the clock.
- alarm_type
-
[in scalar]
How to interpret the alarm_time value:
- TIME_RELATIVE
-
Interpret the alarm time as relative to the current time.
- TIME_ABSOLUTE
- Interpret the alarm time as an absolute time.
- alarm_time
-
[in structure]
The time when the alarm is to be sent.
- alarm_reply_port
- [in alarm receive (to be converted to send-once) right] A port into which the alarm message is to be sent.
DESCRIPTION
The clock_alarm function requests that a clock send an alarm message to a specified port at a given future time. The alarm message is specified by the clock_alarm_reply server interface.
NOTES
If the specified alarm time is in the past, the alarm message is sent immediately and time-stamped with the current time. Otherwise, the alarm is queued and delivered at the specified alarm time and time-stamped at that time.
The alarm will be serviced at the service time nearest the specified alarm time as governed by the current clock alarm resolution.
Not all clocks implement this service, but the REALTIME clock must. If the clock does not provide this service, this call is ignored.
RETURN VALUES
Only generic errors apply.
RELATED INFORMATION
Functions: host_get_clock_service, clock_get_attributes, clock_get_time, clock_sleep, clock_alarm_reply.
Data Structures: tvalspec.


TStyle class
TStyle encapsulates the CSS style applied to a control.
Located in /Web/UI/WebControls/TStyle.php (line 28)
TComponent | --TStyle
| Class | Description |
|---|---|
| TPanelStyle | TPanelStyle class. |
| TTableStyle | TTableStyle class. |
| TTableItemStyle | TTableItemStyle class. |
| TWizardNavigationButtonStyle | TWizardNavigationButtonStyle class. |
Adds attributes related to CSS styles to renderer.
Clears a single style field value;
Copies the fields in a new style to this style.
If a style field is set in the new style, the corresponding field in this style will be overwritten.
Merges the style with a new one.
If a style field is not set in this style, it will be overwritten by the new one.
Resets the style to the original empty state.
Sets the border style of the control.
Sets custom style fields from a string.
Custom style fields will be overwritten by style fields explicitly defined.
Sets a single style field value.
Style fields set by this method will overwrite those set by setCustomStyle.
Need to clone the font object.
Inherited From TComponent
TComponent::addParsedObject()
TComponent::attachEventHandler()
TComponent::canGetProperty()
TComponent::canSetProperty()
TComponent::createdOnTemplate()
TComponent::detachEventHandler()
TComponent::evaluateExpression()
TComponent::evaluateStatements()
TComponent::getEventHandlers()
TComponent::getSubProperty()
TComponent::hasEvent()
TComponent::hasEventHandler()
TComponent::hasProperty()
TComponent::raiseEvent()
TComponent::setSubProperty()
TComponent::__get()
TComponent::__set()
Documentation generated on Mon, 22 Feb 2010 12:18:45 +0000 by phpDocumentor 1.3.0RC4


| fkGraphics reference pages |
h=ICIRCLE(center,radius) h=ICIRCLE(...,parm1,val1,...)
h=ICIRCLE(center,radius) draws a circle defined by center and radius and allows the user to interactively change the circle. The function returns a handle to the circle. Get(h,'circle') will return a structure with circle data. Dragging the center point of the circle will move the circle, dragging the circle itself will change its radius.
h=ICIRCLE(...,parm1,val1,...) passes in extra parameter/value pairs. Valid paramters are:
| define_roi | Toolbox page | formattext |


Junsu to return to terrestrial Korean broadcasting for the first time in 10 years
by sl278JYJ's Junsu is slated to return to Korean terrestrial broadcasting for the first time in ten years.
The former TVXQ member is slated to appear on the pilot episode of MBC's reality show 'House of Sharing'. It is said that Junsu has been filming for the past 5 days.
Junsu also uploaded a short Instagram post with a simple message: "Thank you."
Jaejoong also congratulated his fellow JYJ member on Instagram, stating: "Our Junsu is finally on air! Congratulations."
Are you excited to see Junsu return to Korean television?


[1]
Nice design. Pretty fast, Android 2.2 (superfast software).. Slide out keyboard is great; quite heavy


|
Wayland Server API
1.16.0
|
Include the server API, deprecations and protocol C API. More...
Go to the source code of this file.
Data Structures | |
| struct | wl_object |
| struct | wl_resource |
Functions | |
| uint32_t | wl_client_add_resource (struct wl_client *client, struct wl_resource *resource) WL_DEPRECATED |
| struct wl_resource * | wl_client_add_object (struct wl_client *client, const struct wl_interface *interface, const void *implementation, uint32_t id, void *data) WL_DEPRECATED |
| struct wl_resource * | wl_client_new_object (struct wl_client *client, const struct wl_interface *interface, const void *implementation, void *data) WL_DEPRECATED |
| struct wl_global * | wl_display_add_global (struct wl_display *display, const struct wl_interface *interface, void *data, wl_global_bind_func_t bind) WL_DEPRECATED |
| void | wl_display_remove_global (struct wl_display *display, struct wl_global *global) WL_DEPRECATED |
Include the server API, deprecations and protocol C API.
| struct wl_resource* wl_client_add_object | ( | struct wl_client * | client, |
| const struct wl_interface * | interface, | ||
| const void * | implementation, | ||
| uint32_t | id, | ||
| void * | data | ||
| ) |
| uint32_t wl_client_add_resource | ( | struct wl_client * | client, |
| struct wl_resource * | resource | ||
| ) |
| struct wl_resource* wl_client_new_object | ( | struct wl_client * | client, |
| const struct wl_interface * | interface, | ||
| const void * | implementation, | ||
| void * | data | ||
| ) |
| struct wl_global* wl_display_add_global | ( | struct wl_display * | display, |
| const struct wl_interface * | interface, | ||
| void * | data, | ||
| wl_global_bind_func_t | bind | ||
| ) |
| void wl_display_remove_global | ( | struct wl_display * | display, |
| struct wl_global * | global | ||
| ) |


| I l@ve RuBoard |
20.4 Registering Callback Handler ObjectsIn examples thus far, C has been running and calling Python code from a standard main program flow of control. That's not always the way programs work, though; in some cases, programs are modeled on an event-driven architecture where code is executed only in response to some sort of event. The event might be an end user clicking a button in a GUI, the operating system delivering a signal, or simply software running an action associated with an entry in a table. In any event (pun accidental), program code in such an architecture is typically structured as callback handlers -- chunks of code dispatched by event-processing logic. It's easy to use embedded Python code to implement callback handlers in such a system; in fact, the event-processing layer can simply use the embedded-call API tools we saw earlier in this chapter to run Python handlers. The only new trick in this model is how to make the C layer know what code should be run for each event. Handlers must somehow be registered to C to associate them with future events. In general, there is a wide variety of ways to achieve this code/event association; for instance, C programs can:
And so on. Really, any place you can associate objects or strings with identifiers is a potential callback registration mechanism. Some of these techniques have advantages all their own. For instance, callbacks fetched from module files support dynamic reloading (as we learned in Chapter 9, reload works on modules and does not update objects held directly). And none of the first three schemes requires users to code special Python programs that do nothing but register handlers to be run later. It is perhaps more common, though, to register callback handlers with the last approach: letting Python code register handlers with C by calling back to C through extensions interfaces. Although this scheme is not without trade-offs, it can provide a natural and direct model in scenarios where callbacks are associated with a large number of objects. For instance, consider a GUI constructed by building a tree of widget objects in Python scripts. If each widget object in the tree can have an associated event handler, it may be easier to register handlers by simply calling methods of widgets in the tree. Associating handlers with widget objects in a separate structure such as a module file or HTML file requires extra cross-reference work to keep the handlers in sync with the tree.[7]
The following C and Python files demonstrate the basic coding techniques used to implement explicitly registered callback handlers. The C file in Example 20-9 implements interfaces for registering Python handlers, as well as code to run those handlers in response to events:
In other words, this example uses both the embedding and extending interfaces we've already met to register and invoke Python event handler code. Example 20-9. PP2E\Integrate\Mixed\Regist\cregister.c#include <Python.h> #include <stdlib.h> /***********************************************/ /* 1) code to route events to Python object */ /* note that we could run strings here instead */ /***********************************************/ static PyObject *Handler = NULL; /* keep Python object in C */ void Route_Event(char *label, int count) { char *cres; PyObject *args, *pres; /* call Python handler */ args = Py_BuildValue("(si)", label, count); /* make arg-list */ pres = PyEval_CallObject(Handler, args); /* apply: run a call */ Py_DECREF(args); /* add error checks */ if (pres != NULL) { /* use and decref handler result */ PyArg_Parse(pres, "s", &cres); printf("%s\n", cres); Py_DECREF(pres); } } /*****************************************************/ /* 2) python extension module to register handlers */ /* python imports this module to set handler objects */ /*****************************************************/ static PyObject * Register_Handler(PyObject *self, PyObject *args) { /* save Python callable object */ Py_XDECREF(Handler); /* called before? */ PyArg_Parse(args, "O", &Handler); /* one argument? */ Py_XINCREF(Handler); /* add a reference */ Py_INCREF(Py_None); /* return 'None': success */ return Py_None; } static PyObject * Trigger_Event(PyObject *self, PyObject *args) { /* let Python simulate event caught by C */ static count = 0; Route_Event("spam", count++); Py_INCREF(Py_None); return Py_None; } static struct PyMethodDef cregister_methods[] = { {"setHandler", Register_Handler}, /* name, address */ {"triggerEvent", Trigger_Event}, {NULL, NULL} }; void initcregister( ) /* this is called by Python */ { /* on first "import cregister" */ (void) Py_InitModule("cregister", cregister_methods); } Ultimately, this C file is an extension module for Python, not a standalone C program that embeds Python (though C could just as well be on top). To compile it into a dynamically loaded module file, run the makefile in Example 20-10 on Linux (and use something similar on other platforms). As we learned in the last chapter, the resulting cregister.so file will be loaded when first imported by a Python script if it is placed in a directory on Python's module search path (e.g., "."). Example 20-10. PP2E\Integrate\Mixed\Regist\makefile.regist###################################################################### # Builds cregister.so, a dynamically-loaded C extension # module (shareable), which is imported by register.py ###################################################################### PY = $(MYPY) PYINC = -I$(PY)/Include -I$(PY) CMODS = cregister.so all: $(CMODS) cregister.so: cregister.c gcc cregister.c -g $(PYINC) -fpic -shared -o cregister.so clean: rm -f *.pyc $(CMODS) Now that we have a C extension module set to register and dispatch Python handlers, all we need are some Python handlers. The Python module shown in Example 20-11 defines two callback handler functions and imports the C extension module to register handlers and trigger events. Example 20-11. PP2E\Integrate\Mixed\Regist\register.py####################################################### # register for and handle event callbacks from C; # compile C code, and run with 'python register.py' ####################################################### # # C calls these Python functions; # handle an event, return a result # def callback1(label, count): return 'callback1 => %s number %i' % (label, count) def callback2(label, count): return 'callback2 => ' + label * count # # Python calls a C extension module # to register handlers, trigger events # import cregister print '\nTest1:' cregister.setHandler(callback1) for i in range(3): cregister.triggerEvent( ) # simulate events caught by C layer print '\nTest2:' cregister.setHandler(callback2) for i in range(3): cregister.triggerEvent( ) # routes these events to callback2 That's it -- the Python/C callback integration is set to go. To kick off the system, run the Python script; it registers one handler function, forces three events to be triggered, and then changes the event handler and does it again: [mark@toy ~/.../PP2E/Integration/Mixed/Regist]$ python register.py Test1: callback1 => spam number 0 callback1 => spam number 1 callback1 => spam number 2 Test2: callback2 => spamspamspam callback2 => spamspamspamspam callback2 => spamspamspamspamspam This output is printed by the C event router function, but its content is the return values of the handler functions in the Python module. Actually, there is something pretty wild going on here under the hood. When Python forces an event to trigger, control flows between languages like this:
That is, we jump from Python to C to Python and back again. Along the way, control passes through both extending and embedding interfaces. When the Python callback handler is running, there are two Python levels active, and one C level in the middle. Luckily, this works; Python's API is reentrant, so you don't need to be concerned about having multiple Python interpreter levels active at the same time. Each level runs different code and operates independently. |
| I l@ve RuBoard |


On the Google Compute Engine (GCE) platform the default cluster level logging support targets Google Cloud Logging as described at the Logging getting started page. Here we describe how to set up a cluster to ingest logs into Elasticsearch and view them using Kibana as an alternative to Google Cloud Logging.
To use Elasticsearch and Kibana for cluster logging you should set the following environment variable as shown below:
KUBE_LOGGING_DESTINATION=elasticsearch
You should also ensure that KUBE_ENABLE_NODE_LOGGING=true
(which is the default for the GCE platform).
Now when you create a cluster a message will indicate that the Fluentd node-level log collectors will target Elasticsearch:
$ cluster/kube-up.sh
...
Project: kubernetes-satnam
Zone: us-central1-b
... calling kube-up
Project: kubernetes-satnam
Zone: us-central1-b
+++ Staging server tars to Google Storage: gs://kubernetes-staging-e6d0e81793/devel
+++ kubernetes-server-linux-amd64.tar.gz uploaded (sha1 = 6987c098277871b6d69623141276924ab687f89d)
+++ kubernetes-salt.tar.gz uploaded (sha1 = bdfc83ed6b60fa9e3bff9004b542cfc643464cd0)
Looking for already existing resources
Starting master and configuring firewalls
Created [https://www.googleapis.com/compute/v1/projects/kubernetes-satnam/zones/us-central1-b/disks/kubernetes-master-pd].
NAME ZONE SIZE_GB TYPE STATUS
kubernetes-master-pd us-central1-b 20 pd-ssd READY
Created [https://www.googleapis.com/compute/v1/projects/kubernetes-satnam/regions/us-central1/addresses/kubernetes-master-ip].
+++ Logging using Fluentd to elasticsearch
The node level Fluentd collector pods and the Elasticsearech pods used to ingest cluster logs and the pod for the Kibana viewer should be running in the kube-system namespace soon after the cluster comes to life.
$ kubectl get pods --namespace=kube-system
NAME READY REASON RESTARTS AGE
elasticsearch-logging-v1-78nog 1/1 Running 0 2h
elasticsearch-logging-v1-nj2nb 1/1 Running 0 2h
fluentd-elasticsearch-kubernetes-minion-5oq0 1/1 Running 0 2h
fluentd-elasticsearch-kubernetes-minion-6896 1/1 Running 0 2h
fluentd-elasticsearch-kubernetes-minion-l1ds 1/1 Running 0 2h
fluentd-elasticsearch-kubernetes-minion-lz9j 1/1 Running 0 2h
kibana-logging-v1-bhpo8 1/1 Running 0 2h
kube-dns-v3-7r1l9 3/3 Running 0 2h
monitoring-heapster-v4-yl332 1/1 Running 1 2h
monitoring-influx-grafana-v1-o79xf 2/2 Running 0 2h
Here we see that for a four node cluster there is a fluent-elasticsearch
pod running which gathers
the Docker container logs and sends them to Elasticsearch. The Fluentd collector communicates to
a Kubernetes service that maps requests to specific Elasticsearch pods. Similarly, Kibana can also be
accessed via a Kubernetes service definition.
$ kubectl get services --namespace=kube-system
NAME LABELS SELECTOR IP(S) PORT(S)
elasticsearch-logging k8s-app=elasticsearch-logging,kubernetes.io/cluster-service=true,kubernetes.io/name=Elasticsearch k8s-app=elasticsearch-logging <IP_ADDRESS> 9200/TCP
kibana-logging k8s-app=kibana-logging,kubernetes.io/cluster-service=true,kubernetes.io/name=Kibana k8s-app=kibana-logging <IP_ADDRESS> 5601/TCP
kube-dns k8s-app=kube-dns,kubernetes.io/cluster-service=true,kubernetes.io/name=KubeDNS k8s-app=kube-dns <IP_ADDRESS> 53/UDP
53/TCP
kubernetes component=apiserver,provider=kubernetes <none> <IP_ADDRESS> 443/TCP
monitoring-grafana kubernetes.io/cluster-service=true,kubernetes.io/name=Grafana k8s-app=influxGrafana <IP_ADDRESS> 80/TCP
monitoring-heapster kubernetes.io/cluster-service=true,kubernetes.io/name=Heapster k8s-app=heapster <IP_ADDRESS> 80/TCP
monitoring-influxdb kubernetes.io/cluster-service=true,kubernetes.io/name=InfluxDB k8s-app=influxGrafana <IP_ADDRESS> 8083/TCP
By default two Elasticsearch replicas are created and one Kibana replica is created.
$ kubectl get rc --namespace=kube-system
CONTROLLER CONTAINER(S) IMAGE(S) SELECTOR REPLICAS
elasticsearch-logging-v1 elasticsearch-logging gcr.io/google_containers/elasticsearch:1.4 k8s-app=elasticsearch-logging,version=v1 2
kibana-logging-v1 kibana-logging gcr.io/google_containers/kibana:1.3 k8s-app=kibana-logging,version=v1 1
kube-dns-v3 etcd gcr.io/google_containers/etcd:2.0.9 k8s-app=kube-dns,version=v3 1
kube2sky gcr.io/google_containers/kube2sky:1.9
skydns gcr.io/google_containers/skydns:2015-03-11-001
monitoring-heapster-v4 heapster gcr.io/google_containers/heapster:v0.14.3 k8s-app=heapster,version=v4 1
monitoring-influx-grafana-v1 influxdb gcr.io/google_containers/heapster_influxdb:v0.3 k8s-app=influxGrafana,version=v1 1
grafana gcr.io/google_containers/heapster_grafana:v0.7
The Elasticsearch and Kibana services are not directly exposed via a publicly reachable IP address. Instead,
they can be accessed via the service proxy running at the master. The URLs for accessing Elasticsearch
and Kibana via the service proxy can be found using the kubectl cluster-info
command.
$ kubectl cluster-info
Kubernetes master is running at https://<IP_ADDRESS>
Elasticsearch is running at https://<IP_ADDRESS>/api/v1/proxy/namespaces/kube-system/services/elasticsearch-logging
Kibana is running at https://<IP_ADDRESS>/api/v1/proxy/namespaces/kube-system/services/kibana-logging
KubeDNS is running at https://<IP_ADDRESS>/api/v1/proxy/namespaces/kube-system/services/kube-dns
KubeUI is running at https://<IP_ADDRESS>/api/v1/proxy/namespaces/kube-system/services/kube-ui
Grafana is running at https://<IP_ADDRESS>/api/v1/proxy/namespaces/kube-system/services/monitoring-grafana
Heapster is running at https://<IP_ADDRESS>/api/v1/proxy/namespaces/kube-system/services/monitoring-heapster
InfluxDB is running at https://<IP_ADDRESS>/api/v1/proxy/namespaces/kube-system/services/monitoring-influxdb
Before accessing the logs ingested into Elasticsearch using a browser and the service proxy URL we need to find out
the admin
password for the cluster using kubectl config view
.
$ kubectl config view
...
- name: kubernetes-satnam_kubernetes-basic-auth
user:
password: 7GlspJ9Q43OnGIJO
username: admin
...
The first time you try to access the cluster from a browser a dialog box appears asking for the username and password.
Use the username admin
and provide the basic auth password reported by kubectl config view
for the
cluster you are trying to connect to. Connecting to the Elasticsearch URL should then give the
status page for Elasticsearch.
You can now type Elasticsearch queries directly into the browser. Alternatively you can query Elasticsearch
from your local machine using curl
but first you need to know what your bearer token is:
$ kubectl config view --minify
apiVersion: v1
clusters:
- cluster:
certificate-authority-data: REDACTED
server: https://<IP_ADDRESS>
name: kubernetes-satnam_kubernetes
contexts:
- context:
cluster: kubernetes-satnam_kubernetes
user: kubernetes-satnam_kubernetes
name: kubernetes-satnam_kubernetes
current-context: kubernetes-satnam_kubernetes
kind: Config
preferences: {}
users:
- name: kubernetes-satnam_kubernetes
user:
client-certificate-data: REDACTED
client-key-data: REDACTED
token: JsUe2Z3cXqa17UQqQ8qWGGf4nOSLwSnp
Now you can issue requests to Elasticsearch:
$ curl --header "Authorization: Bearer JsUe2Z3cXqa17UQqQ8qWGGf4nOSLwSnp" --insecure https://<IP_ADDRESS>/api/v1/proxy/namespaces/kube-system/services/elasticsearch-logging/
{
"status" : 200,
"name" : "Vance Astrovik",
"cluster_name" : "kubernetes-logging",
"version" : {
"number" : "1.5.2",
"build_hash" : "62ff9868b4c8a0c45860bebb259e21980778ab1c",
"build_timestamp" : "2015-04-27T09:21:06Z",
"build_snapshot" : false,
"lucene_version" : "4.10.4"
},
"tagline" : "You Know, for Search"
}
Note that you need the trailing slash at the end of the service proxy URL. Here is an example of a search:
$ curl --header "Authorization: Bearer JsUe2Z3cXqa17UQqQ8qWGGf4nOSLwSnp" --insecure https://<IP_ADDRESS>/api/v1/proxy/namespaces/kube-system/services/elasticsearch-logging/_search?pretty=true
{
"took" : 7,
"timed_out" : false,
"_shards" : {
"total" : 6,
"successful" : 6,
"failed" : 0
},
"hits" : {
"total" : 123711,
"max_score" : 1.0,
"hits" : [ {
"_index" : ".kibana",
"_type" : "config",
"_id" : "4.0.2",
"_score" : 1.0,
"_source":{"buildNum":6004,"defaultIndex":"logstash-*"}
}, {
...
"_index" : "logstash-2015.06.22",
"_type" : "fluentd",
"_id" : "AU4c_GvFZL5p_gZ8dxtx",
"_score" : 1.0,
"_source":{"log":"synthetic-logger-10lps-pod: 31: 2015-06-22 20:35:33.597918073+00:00\n","stream":"stdout","tag":"kubernetes.synthetic-logger-10lps-pod_default_synth-lgr","@timestamp":"2015-06-22T20:35:33+00:00"}
}, {
"_index" : "logstash-2015.06.22",
"_type" : "fluentd",
"_id" : "AU4c_GvFZL5p_gZ8dxt2",
"_score" : 1.0,
"_source":{"log":"synthetic-logger-10lps-pod: 36: 2015-06-22 20:35:34.108780133+00:00\n","stream":"stdout","tag":"kubernetes.synthetic-logger-10lps-pod_default_synth-lgr","@timestamp":"2015-06-22T20:35:34+00:00"}
} ]
}
}
The Elasticsearch website contains information about URI search queries which can be used to extract the required logs.
Alternatively you can view the ingested logs using Kibana. The first time you visit the Kibana URL you will be
presented with a page that asks you to configure your view of the ingested logs. Select the option for
timeseries values and select @timestamp
. On the following page select the Discover
tab and then you
should be able to see the ingested logs. You can set the refresh interval to 5 seconds to have the logs
regulary refreshed. Here is a typical view of ingested logs from the Kibana viewer.
Another way to access Elasticsearch and Kibana in the cluster is to use kubectl proxy
which will serve
a local proxy to the remote master:
$ kubectl proxy
Starting to serve on localhost:8001
Now you can visit the URL http://localhost:8001/api/v1/proxy/namespaces/kube-system/services/elasticsearch-logging to contact Elasticsearch and http://localhost:8001/api/v1/proxy/namespaces/kube-system/services/kibana-logging to access the Kibana viewer.


|
IAIK PKCS#11 Wrapper version 1.3 |
|||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: INNER | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object | +--iaik.pkcs.pkcs11.Token
Objects of this class represent PKCS#11 tokens. The application can get information on the token, manage sessions and initialize the token. Notice that objects of this class can become valid at any time. This is, the user can remove the token at any time and any subsequent calls to the corresponding object will fail with an exception (e.g. an exception with the error code PKCS11Constants.CKR_DEVICE_REMOVED). First, the application may want to find out what cryptographic algorithms the token supports. Implementations of such algorithms on a token are called mechanisms in the context of PKCS#11. The code for this may look something like this.
List supportedMechanisms = Arrays.asList(token.getMechanismList());
// check, if the token supports the required mechanism
if (!supportedMechanisms.contains(Mechanism.RSA_PKCS)) {
System.out.print("This token does not support the RSA PKCS mechanism!");
System.out.flush();
throw new TokenException("RSA not supported!");
} else {
MechanismInfo rsaMechanismInfo = token.getMechanismInfo(Mechanism.RSA_PKCS);
// check, if the mechanism supports the required operation
if (!rsaMechanismInfo.isDecrypt()) {
System.out.print("This token does not support RSA decryption according to PKCS!");
System.out.flush();
throw new TokenException("RSA signing not supported!");
}
}
Being sure that the token supports the required mechanism, the application
can open a session. For example, it may call
Session session = token.openSession(Token.SessionType.SERIAL_SESSION, Token.SessionReadWriteBehavior.RO_SESSION, null, null);
to open a simple read-only session.
Mechanism
,
MechanismInfo
,
Session
,
TokenInfo
| Inner Class Summary | |
static interface |
Token.SessionReadWriteBehavior
This interface defines constants that specify the read/write behavior of a session. |
static interface |
Token.SessionType
This interface defines constants for the type of session that should be opened upon a call to openSession. |
| Field Summary | |
protected Slot |
slot_
The reference to the slot. |
protected boolean |
useUtf8Encoding_
True, if UTF8 encoding is used as character encoding for character array attributes and PINs. |
| Constructor Summary | |
protected |
Token(Slot slot)
The constructor that takes a reference to the module and the slot ID. |
| Method Summary | |
void |
closeAllSessions()
Close all open sessions of this token. |
boolean |
equals(java.lang.Object otherObject)
Compares the slot_ of this object with the other object. |
MechanismInfo |
getMechanismInfo(Mechanism mechanism)
Get mor information about one supported mechanism. |
Mechanism[] |
getMechanismList()
Get the list of mechanisms that this token supports. |
Slot |
getSlot()
Get the slot that created this Token object. |
long |
getTokenID()
Get the ID of this token. |
TokenInfo |
getTokenInfo()
Get information about this token. |
int |
hashCode()
The overriding of this method should ensure that the objects of this class work correctly in a hashtable. |
void |
initToken(char[] pin,
java.lang.String label)
Initialize the token. |
Session |
openSession(boolean serialSession,
boolean rwSession,
java.lang.Object application,
Notify notify)
Open a new session to perfom operations on this token. |
java.lang.String |
toString()
Returns the string representation of this object. |
| Methods inherited from class java.lang.Object |
clone, finalize, getClass, notify, notifyAll, wait, wait, wait |
| Field Detail |
protected Slot slot_
protected boolean useUtf8Encoding_
| Constructor Detail |
protected Token(Slot slot)
slot
- The reference to the slot.| Method Detail |
public boolean equals(java.lang.Object otherObject)
equals
in class java.lang.Object
otherObject
- The other Token object.public Slot getSlot()
public long getTokenID()
public TokenInfo getTokenInfo() throws TokenException
TokenException
- If reading the information fails.public Mechanism[] getMechanismList() throws TokenException
TokenException
- If reading the list of supported mechansisms
fails.public MechanismInfo getMechanismInfo(Mechanism mechanism) throws TokenException
mechanism
- A mechanism that is supported by this token.TokenException
- If reading the information fails, or if the
mechansim is not supported by this token.public int hashCode()
hashCode
in class java.lang.Object
public void initToken(char[] pin, java.lang.String label) throws TokenException
pin
- If the token is not initialized yet, this PIN becomes the
security officer (admin) PIN. If the token is already
initialized, this PIN must be the correct security officer PIN
of this token. Otherwise the operation will fail. If the
token slot has build-in means to verify the user (e.g. a PIN-pad
on the card reader), this parameter can be null.label
- The label to give to the token. If this string is longer than
32 characters, it will be cut off at the end to be exactly 32
characters in length. If it is shorter than 32 characters, the
label is filled up with the blank character (' ') to be
exactly 32 characters in length.TokenException
- If the initialization fails.public Session openSession(boolean serialSession, boolean rwSession, java.lang.Object application, Notify notify) throws TokenException
serialSession
- Must be SessionType.SERIAL_SESSION. (For the sake of
completeness)rwSession
- Must be either SessionReadWriteBehavior.RO_SESSION for
read-only sessions or SessionReadWriteBehavior.RW_SESSION
for read-write sessions.application
- Object to be supplied upon notify callback. May be null.
(Not implemented yet!).notify
- For notifications via callback. may be null.
(Not implemented yet!)TokenException
- If the session could not be opened.public void closeAllSessions() throws TokenException
TokenException
- If closing all session fails.public java.lang.String toString()
toString
in class java.lang.Object
|
IAIK PKCS#11 Wrapper version 1.3 |
|||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: INNER | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


Install
$ gem install happymapper
Examples
Given the following xml:
<statuses type="array">
<status>
<created_at>Sat Aug 09 05:38:12 +0000 2008</created_at>
<id>882281424</id>
<text>I so just thought the guy lighting the Olympic torch was falling when he began to run on the wall. Wow that would have been catastrophic.</text>
<source>web</source>
<truncated>false</truncated>
<in_reply_to_status_id>1234</in_reply_to_status_id>
<in_reply_to_user_id>12345</in_reply_to_user_id>
<favorited></favorited>
<user>
<id>4243</id>
<name>John Nunemaker</name>
<screen_name>jnunemaker</screen_name>
<location>Mishawaka, IN, US</location>
<description>Loves his wife, ruby, notre dame football and iu basketball</description>
<profile_image_url>http://s3.amazonaws.com/twitter_production/profile_images/53781608/Photo_75_normal.jpg</profile_image_url>
<url>http://addictedtonew.com</url>
<protected>false</protected>
<followers_count>486</followers_count>
</user>
</status>
</statuses>
You could have the following objects:
class User
include HappyMapper
element :id, Integer
element :name, String
element :screen_name, String
element :location, String
element :description, String
element :profile_image_url, String
element :url, String
element :protected, Boolean
element :followers_count, Integer
end
class Status
include HappyMapper
element :id, Integer
element :text, String
element :created_at, Time
element :source, String
element :truncated, Boolean
element :in_reply_to_status_id, Integer
element :in_reply_to_user_id, Integer
element :favorited, Boolean
has_one :user, User
end
statuses = Status.parse(file_contents)
statuses.each do |status|
puts status.user.name, status.user.screen_name, status.text, status.source, ''
end
Support
Conversations welcome in the google group and bugs/features over at Github.


The mission of the Coalition for the Barbados Association of Central Florida (CBAOCF), otherwise known as Central Florida Bajans (CFL Bajans), is to encourage networking and to promote kinship among Barbadians (Bajans) living in Central Florida. Our association maintains avenues of communication between Barbadians in Central Florida and their homeland Barbados, and fosters educational, cultural, and business operations, to further the joint interests of Bajans in both regions in an open, friendly environment.
The Central Florida Bajans, CFL Bajans, are an active group! Find out about all of our past events. Upcoming events are outlined below in our Google calendar and the full notebook-sized calendar is available for download. The sights and scenes from our recently concluded events are also viewable. Come and join us soon!
These downloadable documents require Adobe Reader. If you do not have Adobe Acrobat please download here
.
On this evening we come together to celebrate the independence of Barbados in fine style. Note that this event is a major fundraiser for us.
The Rosen Centre Hotel, 9840 International Drive, Orlando, FL 32819
November 11th, 2017 @ 6:00pm - midnight
The CFL Bajans picnic is an annual fundraiser where on this afternoon we come together to enjoy music, food, games and each others' company in true Bajan style.
Barnett Park
September 23rd, 2017 @ 1:00pm - 7:00pm
Come to the beach for a day of fun! We provide the buses and treats. Buses leave the Caribbean Store at 8am SHARP!
Fort De Soto, Tampa, FL
Caribbean Store, Orlando, FL
May 13th, 2017 @ 8:00am - 8:00pm
Core activities are:
1. Monthly meetings every third Saturday of the month at St. Mary of the Angels, 6316 Matchett Road, Orlando, FL 32809 from 6:30pm until you say when! At monthly meetings, we take a few moments to discuss association business, learn more from guest speakers, and then we get to the food and fun! Each month we have at least 30 Bajans in attendance. Come and join us soon! Catch up on the last meeting here!
2. Annual Taste of Barbados event usually in March. This event is also a major fundraiser for us. Plan on joining us!
3. Annual Bus Ride event usually in May. On this day, we pack up our picnic baskets and head out of town for a day of fun at the beach. ticket prices include transportation to and from the beach, and treats along the way. Plan on joining us for the next one! This event is also a fundraiser for us.
4. Annual Picnic usually in September. The afternoon of this day, we come together for festivities in Barnett Park. Food and drinks are provided. Plan on joining us for the next one!
5. Annual Independence Gala event in November. On this day we come together to celebrate the independence of Barbados in fine style. Plan on joining us. Note that this event is a major fundraiser for us.
6. Annual Christmas Party in December. At this monthly meeting, we kick our shoes off and get down to celebrating Christmas in true Bajan style - with food, drink, and the music.
7. Other miscellaneous events that encourage team-building and camaraderie. For example in 2006, we cruised the seas. In 2017 we are repeating this activity curising to Cuba!
Core volunteer activities are:
1. Second Harvest Food Bank: Second Harvest Food Bank of Central Florida is a private, nonprofit organization that collects and distributes donated food to more than 500 nonprofit partner agencies in six Central Florida counties. These Central Florida counties are Brevard, Lake, Orange, Osceola, Seminole and Volusia. The CFL Bajans volunteer as a group to this organization to 'fight hunger and feed hope' in our Floridian community.
2. Give Kids the World: Give Kids The World Village is a 84 acre, non–profit “story-book” resort, located near Central Florida‘s most beloved attractions, where children with life-threatening illnesses and their families are treated to weeklong, cost-free fantasy vacations. The CFL Bajans along with the Barbados Association of Tampa Bay adopted 2 villas at the Give Kids the World Village. Members of both associations share their time and talents to decorate, landscape and maintain these buildings that our special families call home while on their dream vacation.
Donations:
1. We also donate monetarily to local organizations whose missions we support. Organizations we have donated to include Second Harvest, The Russell Home for Atypical Children, and Compassionate Hands and Hearts Breast Cancer Outreach.
1. We provide medical assistance to those in need. Some of these activities are:
Core activities are:
1. Scholarship awards: We support young residents of Orange, Osceola, Seminole and Lake counties of Barbadian heritage who are pursuing their education through the offering of scholarships annually.
2. Back to school drive
Core activities are:
1. Participate in Orlando's Caribbean American Heritage Month at Orlando City Hall hosted annually by the Caribbean and Floridian Association, Inc. Check it out here!


A Business Service exposes the functionality of Business Roles or Collaborations to their environment. This functionality is accessed through one or more Business Interfaces. It may access Business Objects.
A Business Service is defined as the externally visible ("logical") functionality, which is meaningful to the environment and is realized by business behaviour (Business Process, Business Function, or Business Interaction).
A Business Service exposes the functionality of Business Roles or Collaborations to their environment. This functionality is accessed through one or more business interfaces. A Business Service is realized by one or more Business Processes, Business Functions, or Business Interactions that are performed by the Business Roles or Business Collaborations, respectively.
The name of a Business Service should preferably be a verb ending with "-ing"; e.g., "transaction processing". Also, a name containing the word "service" may be used.
Business. Behavioural.
Customer Information Service, Claims Payment Service, Enrolment Service.


Survey Form
Thank you for taking the time to help us improve the form
Name:
email:
Age
Dropdown
first
second
Third
Please select:
Child
Young
Old
Please select:
Happy
Glad
Kind
Extra text


§576B-103 State tribunal and support enforcement agency. (a) The family court, the child support enforcement agency established by section 576D-2, and the office of child support hearings are the tribunals of this State.
(b) The child support enforcement agency is the support enforcement agency of this State. [L 1997, c 295, pt of §1; §576B-102; ren and am L 2015, c 77, pt of §1]


Simple test to show setting a new store and query to dgrid
Simple test to show editor effect on store data
Dirty Items
The following buttons switch between stores in the left grid above,
to test handling of errors on put operations.
Note that clicking Save will NOT emit an error event on the grid,
as direct invocations of save are expected to handle the returned promise
as they see fit. However, modifying an editor field with autoSave enabled
will cause an error event to be emitted, since in this case it is
the grid which initiated the operation.
Simple test to show adding/deleting items
(With an OnDemandList alongside, also observing the changes)


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- Method in class dict.
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maps the specified value in the hash table using the provided key.
add(K, V)
- Method in class dict.
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clear()
- Method in interface dict.
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clear()
- Method in class dict.
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erases the contents of the table
clear()
- Method in class dict.
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- Method in interface dict.
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- Method in class dict.
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contains(K)
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- Static variable in class dict.
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- Static variable in class dict.
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getSize()
- Method in interface dict.
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- Method in class dict.
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getSize()
- Method in class dict.
OpenAddressingDict
getValue(K)
- Method in interface dict.
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getValue(Key)
- Method in class dict.
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getValue(K)
- Method in class dict.
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hash(Key)
- Method in class dict.
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- Static variable in class dict.
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isEmpty()
- Method in interface dict.
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- Method in class dict.
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isEmpty()
- Method in class dict.
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keys()
- Method in interface dict.
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- Method in class dict.
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keys()
- Method in class dict.
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L
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<
Key
,
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> - Class in
dict
LinkedDict(int, float)
- Constructor for class dict.
LinkedDict
LinkedDict()
- Constructor for class dict.
LinkedDict
M
main(String[])
- Static method in class dict.
LinkedDict
main(String[])
- Static method in class dict.
OpenAddressingDict
O
OpenAddressingDict
<
K
,
V
> - Class in
dict
OpenAddressingDict(int, float)
- Constructor for class dict.
OpenAddressingDict
OpenAddressingDict(int)
- Constructor for class dict.
OpenAddressingDict
OpenAddressingDict()
- Constructor for class dict.
OpenAddressingDict
R
remove(K)
- Method in interface dict.
Dict
remove(Key)
- Method in class dict.
LinkedDict
remove(K)
- Method in class dict.
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T
toString()
- Method in class dict.
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Floater request
-
Diatribe
Hi, thanks first for making this awesome app, one thing I'd like to request though is an option to have the floater below all windows. I have it set so it always is on but with always on top it is kind of annoying. So below all windows would solve this perfectly. I'll file a ticket for this also. Thanks.
-
Greg Hurrell
For reference, the official entry in the requests database can be found here:
-
Diatribe
Will this option make it into Synergy or will this be an Synergy advance only addition? The reason I am asking is because firstly Synergy advance seems to be taking forever to be a full Synergy replacement (no offense ) and secondly I have the fear that it will use a lot more resources than synergy and I really liked the fact that Synergy is light-weight and no resource-hog. Thanks.
-
Greg Hurrell
The truth is I don't know precisely when or where all these features will make it in. But whatever gets decided, the best place to keep a tab on it is to monitor that feature request (in the link above) because that's where any new information and progress reports will be posted.
Reply
This topic is now closed.


--- layout: page title: Reference Services date: 2014-02-20 06:56:35.000000000 +08:00 permalink: /odata-services/ ---
| Name | Description |
|---|---|
| TripPin (read/write) | The new OData V4 service designed for real scenarios and covering most V4 features. |
| OData (read only) | A simple OData v4 service optimized for quick browser demos. |
| OData (read/write) | A simple OData v4 service optimized for quick browser demos. |
| Northwind (read only) | A simple OData v4 service optimized for quick browser demos. |
| Name | Description |
|---|---|
| OData (read only) | A simple OData v3 service optimized for quick browser demos. |
| OData (read/write) | A simple OData v3 service optimized for quick browser demos. |
| Northwind (read only) | A simple OData v3 service optimized for quick browser demos. |
| Name | Description |
|---|---|
| Italy Ministry of Health Open Data Portal | Open data portal of the Italian Ministry of Health running on OGDI DataLab and Windows Azure. |
| OData (read/write) | A simple OData v2 service optimized for quick browser demos. |
| Northwind (read only) | A simple OData v2 service optimized for quick browser demos. |


Kieron Pollard Unfollows Rohit Sharma on Twitter, Fans Left Puzzled
Pollard and Rohit's friendship goes a long way back right from the time they joined Indian Premier League (IPL) franchise Mumbai Indians (MI).
Fans on Twitter were left puzzled on Wednesday after West Indies allrounder Kieron Pollard unfollowed India’s limited overs vice-captain Rohit Sharma on Twitter ahead of the India-West Indies series.
Pollard and Rohit, who’s friendship goes a long way back right from the time they joined Indian Premier League (IPL) franchise Mumbai Indians (MI), have been really close friends. But recently, Pollard unfriended Rohit Sharma on Twitter and Twitterati had a lot of questions.
Rohit is currently gearing up for India’s second Test against Bangladesh at the Eden Gardens in Kolkata. This will also mark the first time that India play a day-night Test match. Their home T20I series against West Indies starts on December 6.
India and West Indies will play three Twenty20 Internationals and three one-day internationals with the series-opening first T20I in Mumbai on December 6 followed by matches in Thiruvananthapuram and Hyderabad on December 8 and 11 respectively.
The ODI series gets underway on December 15 at the MA Chidambaram Stadium in Chennai. Visakhapatnam and Cuttack will host the second and third ODIs on December 18 and 22.
For breaking news and live news updates, like us on Facebook or follow us on Twitter and Instagram. Read more on Cricket Latest News on India.com.
Story Timeline
- 20 Nov 2019 Kieron Pollard Unfollows Rohit Sharma on Twitter, Fans Left Puzzled...
- 20 Nov 2019 I Don't See Pink-Ball Matches Bringing a Lot of People to The Ground in India: Harbhajan Singh...
- 20 Nov 2019 Sachin Tendulkar Pens Open Letter, Says It’s OK For Men to Cry | SEE FULL LETTER...
- 20 Nov 2019 Northern Knights vs Canterbury Dream11 Team Prediction Ford Trophy 2019
Comments - Join the Discussion


Reports files with a declared package that does not match the package expected. Also, reports files without
package
statements if the class is not located directly in the source root directory.


How Trump's impeachment hearings will unroll
WASHINGTON: The start of open hearings in the impeachment investigation into President Donald Trump on Wednesday (Nov 13) will give the American public their first chance to witness live the explosive showdown between Democrats and Republicans over the US leader's future.
READ: Former US envoy to UN says top Trump aides tried to subvert him
The hearing before the House Intelligence Committee marks the second phase of the impeachment investigation into allegations that Trump abused his powers by seeking help for his 2020 reelection campaign from Ukraine.
Trump is under threat of becoming only the third president in US history to be impeached - formally charged with violating his duties as president or committing crimes, and placed on trial in the Senate.
With Democrats in control of the House of Representatives, impeachment appears highly likely, as soon as the end of 2019.
But the Republicans hold a majority in the Senate, a bulwark against him being convicted and removed from office - unless they turn against him.
There is still much to do, but analysts believe the entire process could be completed before the end of January.
READ: US House formalises Trump impeachment process in landmark vote
EVIDENTIARY HEARINGS
On Wednesday, the House Intelligence Committee takes the impeachment investigation public after six weeks of closed-door depositions from White House, State Department and other officials.
Those depositions have already painted a fairly complete picture of how Trump and aides, including personal lawyer Rudy Giuliani, pressured Ukraine's President Volodymyr Zelensky to open investigations that could conceivably find political dirt against the Democrats and Trump's possible 2020 election rival Joe Biden.
Some of the witnesses who already testified privately will be recalled to face the public panel, starting with Ambassador William Taylor, Washington's top diplomat in Ukraine, and Deputy Assistant Secretary of State George Kent on Wednesday, and former Ambassador to Ukraine Marie Yovanovitch on Friday.
The aim is to further compile the evidence against the president, or, for Republicans, in his support.
Democrats chose all the witnesses for the initial private depositions phase.
In the open hearings, both parties can propose and subpoena witnesses - although Intelligence Committee Chairman Adam Schiff will be able to prevent Republicans from inviting witnesses who have no relation to the core allegations or who simply seek to stall the proceedings.
SETTING THE CHARGES
The next step is hearings by the Judiciary Committee, under Chairmen Jerry Nadler, a longtime Trump nemesis, to decide whether the evidence is strong enough to support formal charges, or articles of impeachment.
Trump and his lawyers will be able to appear, cross-examine witnesses, and submit evidence in their favor.
At the end of those hearings, the Democratic-controlled committee will vote on specific articles of impeachment, based on the US Constitution's standard of "treason, bribery, or other high crimes and misdemeanors," and whether Trump's actions constituted abuse of presidential power.
Currently, the charges are expected to be abuse of power and obstruction of the investigation.
READ: Commentary: US House didn't need to pass impeachment process but did. Here's why
THE IMPEACHMENT VOTE
The Judiciary Committee then sends the articles of impeachment to the entire House for a vote.
Only a basic majority of the 435 member House is required to approve impeachment. Democrats currently hold a solid majority, 233 seats to 197 for Republicans, with four seats currently vacant and one held by an independent.
That suggests that, if the evidence is strong enough, Democrats will easily pass the impeachment resolution.
THE TRIAL
The resolution would then go to the Senate, where Trump would stand trial, with the 100 senators his jury.
Democrats from the House would act as the prosecuting team, while Trump's lawyers would defend him, and Trump could argue in his own favor. Both sides can call witnesses and present testimony.
Presiding over the trial would likely be Supreme Court Chief Justice John Roberts, who was appointed to the court by Republican President George W. Bush in 2005.
A trial could take a few weeks. The impeachment trial of President Bill Clinton in 1999 lasted five weeks, and ultimately ended in his acquittal: while Republicans had a majority in the Senate, Clinton had enough support among Democrats to easily beat the required two-thirds majority to convict.


Schemes#
AUTHORS:
William Stein, David Kohel, Kiran Kedlaya (2008): added zeta_series
Volker Braun (2011-08-11): documenting, improving, refactoring.
- class sage.schemes.generic.scheme.AffineScheme(R, S=None, category=None)#
Bases:
UniqueRepresentation
,Scheme
Class for general affine schemes.
See also
For affine spaces over a base ring and subschemes thereof, see
sage.schemes.generic.algebraic_scheme.AffineSpace
.- Element#
alias of
SchemeTopologicalPoint_prime_ideal
- base_extend(R)#
Extend the base ring/scheme.
INPUT:
R
– an affine scheme or a commutative ring
EXAMPLES:
sage: Spec_ZZ = Spec(ZZ); Spec_ZZ Spectrum of Integer Ring sage: Spec_ZZ.base_extend(QQ) Spectrum of Rational Field sage: Spec(ZZ['x']).base_extend(Spec(QQ)) Spectrum of Univariate Polynomial Ring in x over Rational Field
- coordinate_ring()#
Return the underlying ring of this scheme.
OUTPUT:
A commutative ring.
EXAMPLES:
sage: Spec(QQ).coordinate_ring() Rational Field sage: Spec(PolynomialRing(QQ, 3, 'x')).coordinate_ring() Multivariate Polynomial Ring in x0, x1, x2 over Rational Field
- dimension()#
Return the absolute dimension of this scheme.
OUTPUT:
Integer.
EXAMPLES:
sage: S = Spec(ZZ) sage: S.dimension_absolute() 1 sage: S.dimension() 1
- dimension_absolute()#
Return the absolute dimension of this scheme.
OUTPUT:
Integer.
EXAMPLES:
sage: S = Spec(ZZ) sage: S.dimension_absolute() 1 sage: S.dimension() 1
- dimension_relative()#
Return the relative dimension of this scheme over its base.
OUTPUT:
Integer.
EXAMPLES:
sage: S = Spec(ZZ) sage: S.dimension_relative() 0
- hom(x, Y=None)#
Return the scheme morphism from
self
toY
defined byx
.INPUT:
x
– anything that determines a scheme morphism; ifx
is a scheme, try to determine a natural map tox
Y
– the codomain scheme (optional); ifY
is not given, try to determineY
from contextcheck
– boolean (optional, default:True
); whether to check the defining data for consistency
OUTPUT:
The scheme morphism from
self
toY
defined byx
.EXAMPLES:
We construct the inclusion from \(\mathrm{Spec}(\QQ)\) into \(\mathrm{Spec}(\ZZ)\) induced by the inclusion from \(\ZZ\) into \(\QQ\):
sage: X = Spec(QQ) sage: X.hom(ZZ.hom(QQ)) Affine Scheme morphism: From: Spectrum of Rational Field To: Spectrum of Integer Ring Defn: Natural morphism: From: Integer Ring To: Rational Field
- is_noetherian()#
Return
True
ifself
is Noetherian,False
otherwise.EXAMPLES:
sage: Spec(ZZ).is_noetherian() True
- class sage.schemes.generic.scheme.Scheme(X=None, category=None)#
Bases:
Parent
The base class for all schemes.
INPUT:
X
– a scheme, scheme morphism, commutative ring, commutative ring morphism, orNone
(optional). Determines the base scheme. If a commutative ring is passed, the spectrum of the ring will be used as base.category
– the category (optional). Will be automatically constructed by default.
EXAMPLES:
sage: from sage.schemes.generic.scheme import Scheme sage: Scheme(ZZ) <sage.schemes.generic.scheme.Scheme_with_category object at ...>
A scheme is in the category of all schemes over its base:
sage: ProjectiveSpace(4, QQ).category() Category of schemes over Rational Field
There is a special and unique \(Spec(\ZZ)\) that is the default base scheme:
sage: Spec(ZZ).base_scheme() is Spec(QQ).base_scheme() True
- base_extend(Y)#
Extend the base of the scheme.
Derived classes must override this method.
EXAMPLES:
sage: from sage.schemes.generic.scheme import Scheme sage: X = Scheme(ZZ) sage: X.base_scheme() Spectrum of Integer Ring sage: X.base_extend(QQ) Traceback (most recent call last): ... NotImplementedError
- base_morphism()#
Return the structure morphism from
self
to its base scheme.OUTPUT:
A scheme morphism.
EXAMPLES:
sage: A = AffineSpace(4, QQ) sage: A.base_morphism() Scheme morphism: From: Affine Space of dimension 4 over Rational Field To: Spectrum of Rational Field Defn: Structure map sage: X = Spec(QQ) sage: X.base_morphism() Scheme morphism: From: Spectrum of Rational Field To: Spectrum of Integer Ring Defn: Structure map
- base_ring()#
Return the base ring of the scheme self.
OUTPUT:
A commutative ring.
EXAMPLES:
sage: A = AffineSpace(4, QQ) sage: A.base_ring() Rational Field sage: X = Spec(QQ) sage: X.base_ring() Integer Ring
- base_scheme()#
Return the base scheme.
OUTPUT:
A scheme.
EXAMPLES:
sage: A = AffineSpace(4, QQ) sage: A.base_scheme() Spectrum of Rational Field sage: X = Spec(QQ) sage: X.base_scheme() Spectrum of Integer Ring
- coordinate_ring()#
Return the coordinate ring.
OUTPUT:
The global coordinate ring of this scheme, if defined. Otherwise raise a
ValueError
.EXAMPLES:
sage: R.<x, y> = QQ[] sage: I = (x^2 - y^2)*R sage: X = Spec(R.quotient(I)) sage: X.coordinate_ring() Quotient of Multivariate Polynomial Ring in x, y over Rational Field by the ideal (x^2 - y^2)
- count_points(n)#
Count points over finite fields.
INPUT:
n
– integer.
OUTPUT:
An integer. The number of points over \(\GF{q}, \ldots, \GF{q^n}\) on a scheme over a finite field \(\GF{q}\).
EXAMPLES:
sage: P.<x> = PolynomialRing(GF(3)) # optional - sage.rings.finite_rings sage: C = HyperellipticCurve(x^3 + x^2 + 1) # optional - sage.rings.finite_rings sage: C.count_points(4) # optional - sage.rings.finite_rings [6, 12, 18, 96] sage: C.base_extend(GF(9,'a')).count_points(2) # optional - sage.rings.finite_rings [12, 96]
sage: P.<x,y,z> = ProjectiveSpace(GF(4, 't'), 2) # optional - sage.rings.finite_rings sage: X = P.subscheme([y^2*z - x^3 - z^3]) # optional - sage.rings.finite_rings sage: X.count_points(2) # optional - sage.rings.finite_rings [5, 17]
- dimension()#
Return the absolute dimension of this scheme.
OUTPUT:
Integer.
EXAMPLES:
sage: R.<x, y> = QQ[] sage: I = (x^2 - y^2)*R sage: X = Spec(R.quotient(I)) sage: X.dimension_absolute() Traceback (most recent call last): ... NotImplementedError sage: X.dimension() Traceback (most recent call last): ... NotImplementedError
- dimension_absolute()#
Return the absolute dimension of this scheme.
OUTPUT:
Integer.
EXAMPLES:
sage: R.<x, y> = QQ[] sage: I = (x^2 - y^2)*R sage: X = Spec(R.quotient(I)) sage: X.dimension_absolute() Traceback (most recent call last): ... NotImplementedError sage: X.dimension() Traceback (most recent call last): ... NotImplementedError
- dimension_relative()#
Return the relative dimension of this scheme over its base.
OUTPUT:
Integer.
EXAMPLES:
sage: R.<x, y> = QQ[] sage: I = (x^2 - y^2)*R sage: X = Spec(R.quotient(I)) sage: X.dimension_relative() Traceback (most recent call last): ... NotImplementedError
- hom(x, Y=None, check=True)#
Return the scheme morphism from
self
toY
defined byx
.INPUT:
x
– anything that determines a scheme morphism; ifx
is a scheme, try to determine a natural map tox
Y
– the codomain scheme (optional); ifY
is not given, try to determineY
from contextcheck
– boolean (optional, default:True
); whether to check the defining data for consistency
OUTPUT:
The scheme morphism from
self
toY
defined byx
.EXAMPLES:
sage: P = ProjectiveSpace(ZZ, 3) sage: P.hom(Spec(ZZ)) Scheme morphism: From: Projective Space of dimension 3 over Integer Ring To: Spectrum of Integer Ring Defn: Structure map
- identity_morphism()#
Return the identity morphism.
OUTPUT:
The identity morphism of the scheme
self
.EXAMPLES:
sage: X = Spec(QQ) sage: X.identity_morphism() Scheme endomorphism of Spectrum of Rational Field Defn: Identity map
- point(v, check=True)#
Create a point.
INPUT:
v
– anything that defines a pointcheck
– boolean (optional, default:True
); whether to check the defining data for consistency
OUTPUT:
A point of the scheme.
EXAMPLES:
sage: A2 = AffineSpace(QQ, 2) sage: A2.point([4, 5]) (4, 5) sage: R.<t> = PolynomialRing(QQ) sage: E = EllipticCurve([t + 1, t, t, 0, 0]) sage: E.point([0, 0]) (0 : 0 : 1)
- point_homset(S=None)#
Return the set of S-valued points of this scheme.
INPUT:
S
– a commutative ring.
OUTPUT:
The set of morphisms \(Spec(S) o X\).
EXAMPLES:
sage: P = ProjectiveSpace(ZZ, 3) sage: P.point_homset(ZZ) Set of rational points of Projective Space of dimension 3 over Integer Ring sage: P.point_homset(QQ) Set of rational points of Projective Space of dimension 3 over Rational Field sage: P.point_homset(GF(11)) # optional - sage.rings.finite_rings Set of rational points of Projective Space of dimension 3 over Finite Field of size 11
- point_set(S=None)#
Return the set of S-valued points of this scheme.
INPUT:
S
– a commutative ring.
OUTPUT:
The set of morphisms \(Spec(S) o X\).
EXAMPLES:
sage: P = ProjectiveSpace(ZZ, 3) sage: P.point_homset(ZZ) Set of rational points of Projective Space of dimension 3 over Integer Ring sage: P.point_homset(QQ) Set of rational points of Projective Space of dimension 3 over Rational Field sage: P.point_homset(GF(11)) # optional - sage.rings.finite_rings Set of rational points of Projective Space of dimension 3 over Finite Field of size 11
- structure_morphism()#
Return the structure morphism from
self
to its base scheme.OUTPUT:
A scheme morphism.
EXAMPLES:
sage: A = AffineSpace(4, QQ) sage: A.base_morphism() Scheme morphism: From: Affine Space of dimension 4 over Rational Field To: Spectrum of Rational Field Defn: Structure map sage: X = Spec(QQ) sage: X.base_morphism() Scheme morphism: From: Spectrum of Rational Field To: Spectrum of Integer Ring Defn: Structure map
- union(X)#
Return the disjoint union of the schemes
self
andX
.EXAMPLES:
sage: S = Spec(QQ) sage: X = AffineSpace(1, QQ) sage: S.union(X) Traceback (most recent call last): ... NotImplementedError
- zeta_function()#
Compute the zeta function of a generic scheme.
Derived classes should override this method.
OUTPUT: rational function in one variable.
EXAMPLES:
sage: P.<x,y,z> = ProjectiveSpace(GF(4, 't'), 2) # optional - sage.rings.finite_rings sage: X = P.subscheme([y^2*z - x^3 - z^3]) # optional - sage.rings.finite_rings sage: X.zeta_function() # optional - sage.rings.finite_rings Traceback (most recent call last): ... NotImplementedError
- zeta_series(n, t)#
Return the zeta series.
Compute a power series approximation to the zeta function of a scheme over a finite field.
INPUT:
n
– the number of terms of the power series to computet
– the variable which the series should be returned
OUTPUT:
A power series approximating the zeta function of
self
EXAMPLES:
sage: P.<x> = PolynomialRing(GF(3)) # optional - sage.rings.finite_rings sage: C = HyperellipticCurve(x^3 + x^2 + 1) # optional - sage.rings.finite_rings sage: R.<t> = PowerSeriesRing(Integers()) sage: C.zeta_series(4, t) # optional - sage.rings.finite_rings 1 + 6*t + 24*t^2 + 78*t^3 + 240*t^4 + O(t^5) sage: (1+2*t+3*t^2)/(1-t)/(1-3*t) + O(t^5) # optional - sage.rings.finite_rings 1 + 6*t + 24*t^2 + 78*t^3 + 240*t^4 + O(t^5)
If the scheme has a method
zeta_function
, this is used to provide the required approximation. Otherwise this function depends oncount_points
, which is only defined for prime order fields for general schemes. Nonetheless, since github issue #15108 and github issue #15148, it supports hyperelliptic curves over non-prime fields:sage: C.base_extend(GF(9, 'a')).zeta_series(4, t) # optional - sage.rings.finite_rings 1 + 12*t + 120*t^2 + 1092*t^3 + 9840*t^4 + O(t^5)
sage: P.<x,y,z> = ProjectiveSpace(GF(4, 't'), 2) # optional - sage.rings.finite_rings sage: X = P.subscheme([y^2*z - x^3 - z^3]) # optional - sage.rings.finite_rings sage: R.<t> = PowerSeriesRing(Integers()) sage: X.zeta_series(2, t) # optional - sage.rings.finite_rings 1 + 5*t + 21*t^2 + O(t^3)
- sage.schemes.generic.scheme.is_AffineScheme(x)#
Return True if \(x\) is an affine scheme.
EXAMPLES:
sage: from sage.schemes.generic.scheme import is_AffineScheme sage: is_AffineScheme(5) False sage: E = Spec(QQ) sage: is_AffineScheme(E) True


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You can now have your work Christmas party at Morrisons - for £7.50 per person
Morrisons cafés are now taking bookings for Christmas parties that cost a very decent £7.50 per head - including a three course turkey dinner with both roast and mashed potatoes
by Molly Holt, https://www.facebook.com/mollyjaholt/Just because there's no budget left, doesn't mean you need to give up on the work Christmas party, as Morrisons has decided to step in and save the day by offering out its beloved cafés for festive events - and you'll still get a three course traditional turkey dinner, complete with all the trimmings.
Okay so it might not be the most picturesque setting out there, but it's an absolute steal at £7.50 per head, and there's still plenty of spaces left if you've still not gotten around to booking anywhere.
Christmas party goers can pick from an extensive menu including prawn cocktail starters, roast dinners that contain both roast AND mashed potato as well as Christmas pudding with custard for dessert. There's also an array of vegan and vegetarian alternatives, including Mushroom Wellington for main.
Prices start at £6.50 for two courses, or three for £7.50 each, with the store able to cater for tables of up to 20 people. We've got the full menu below.
Morrisons says that it's decided to open up its cafés for Christmas parties after finding out that many businesses are deciding to cut back on the work parties this Christmas due to tough trading conditions, economic uncertainty and fragile confidence.
The supermarket is already taking bookings for dates between Monday 25th November to Monday 23rd December,also making it ideal for panicked planners who are still yet to book a venue for the occasion.
Helen Tordoff, Head of Cafes at Morrisons commented: “Some small businesses have had a tough year so we have created the best Christmas meal for those on a budget.
And as our cafés regularly host group meet ups, we thought we’d extend the invite to local companies so they can save some Christmas costs. It will mean that more people can get into the party spirit without breaking the bank.”
Morrisons' Christmas party menu
Get two courses for £6.50 or three for £7.50
Starters:
- Fresh Soup Fresh soup served with a freshly baked bap.
- Pate & Melba Toast Brussels pâté served with balsamic onion chutney, salad and Melba toast.
- Prawn Cocktail Prawn cocktail served with salad and brown bread.
Mains:
- Christmas Turkey Lunch Turkey, roast potatoes, mash, carrots, Brussels sprouts, stuffing, Yorkshire pudding, pig in blanket, gravy and cranberry sauce.
- Mushroom Wellington Mushroom Wellington served with golden roast potatoes, Brussels sprouts, carrots and drizzled with gravy.
- Salmon with hollandaise Salmon fillet topped with hollandaise sauce. Served with baby potatoes and peas.
Desserts:
- Christmas Pudding Christmas pudding served with brandy sauce or custard.
- Kelly’s Ice Cream Chocolate or Strawberry.


Welcome to Breadmeadow, a B&B nestled in the mountains.
Accommodations & Activities
Breadmeadow is an antique farmhouse that dates back to the 19th century. It was built by an earlier settler family who made a living by baking bread for the community. Breadmeadow has four bedrooms, one of which is a top-floor loft, two and a half bathrooms, a cozy living room, and a modern kitchen.


Last week Friday, I finished the full-throttle onslaught that was the Data Science Immersive at General Assembly. It was a hell of a ride, I learned a ton, and I immediately collapsed that night in bed and slept for ten hours because I’d pulled a 24-hour day to finish my capstone. The capstone was meant to encourage us to tackle a project about a subject we enjoy or find interesting. I spent quite a while debating between two ideas: one involving the DC Metro system, and one involving college football. I chose football.
I am a big, big college football fan. Unapologetically big, really — to the occasional consternation of my fiancée. We each name fall as our favorite season, for very different reasons: me for football and leaf colors, she for the festivals and weather and leaf colors.
It’s a balancing act familiar to many people across the country.  Or do you finagle a balance of the two and risk missing the “Game of the Year”? The third case usually dominates my fall seasons, because not only do I enjoy watching games, both my fiancée and I play in social leagues around DC on the weekends. So either I miss a few TV games a season, or we miss out on dates to some admittedly pretty great festivals.
As much as I miss the actual games, what I don’t miss about those games is the continuous speculation by commentators and desk jockeys about the College Football Playoff.
For those not in the know, the College Football Playoff (CFP) began after the 2013 season. It replaced the Bowl Championship Series (BCS), which selected two teams to play for a national championship. The CFP ranks a Top 25 starting around Week 9 of the season, and updates them weekly. The top four teams at season’s end are seeded into a playoff.
What differs between the CFP and BCS goes beyond the number of teams in contention for the national championship. While the BCS incorporated computer and human poll rankings in its formula, the CFP uses a selection committee that:
"...ranks the teams based on the members’ evaluation of the teams’ performance on the field, using conference championships won, strength of schedule, head-to-head results, and comparison of results against common opponents to decide among teams that are comparable."
Now, I was no fan of the BCS, because human polls are entirely fallible. And while I am supportive of the playoff, I don’t appreciate vague selection criteria like “strength of schedule” or “evaluation of teams’ performance.” I tend to prefer cold, hard facts. Because of course I would. I’m a numbers guy. The committee, however, has no such obligation to look at advanced metrics, even though ESPN sends them plenty of theirs. This raises a question.
That’s where my project kicked off. (…heh.) I have watched computer-based polls for years. Sagarin, Massey, you name it, I’ve probably seen it. I wondered for a long time how these pollsters created their polls, what they valued highly, what they didn’t, and all the elements of their polls. I also wondered what my own poll might look like should I create one.
Therefore, I took as my task the analysis and clarification of what metrics are indicative of a college team’s success. Using data courtesy of the user BlueSCar on Reddit, I performed exploratory analysis and then principal component analysis on an array of aggregated game statistics and team records and results.
The database contains game information, results, team statistics, and more, for over 700 teams from 2001 to the present. They’re organized into over a dozen tables in a SQL database. I loaded the tables I needed into Pandas DataFrames and got to work arranging year-by-year data into individual DataFrames. My focus was the past five seasons, mostly due to changes in college football offensively and the advent of the CFP. Game statistics were put into their own columns as lists, and averages were collated into a final DataFrame that contained average team statistics by year.
For instance, Auburn’s seasons between 2013 and now each have their own row in the DataFrame, with averages of each statistical category as their own column.
Principal component analysis (PCA) is a method in which variables are analyzed to determine how they contribute to the variance of some “target variable.” In this case, the result is a team’s winning percentage, and the variables of interest are statistics like average yards per rush, first downs per game, and opponents’ pass-run play ratio.
PCA helps us clear the fog of all these statistics, because yes, there are quite a few. Some are related to one another in some fashion: rushing yards, average yards per rush, and rushing attempts are related because total rushing yards is just yards per rush multiplied by rushing attempts. Some are stand-alone, like first downs per game, but intuitively we don’t necessarily know if these have any impact on the results.
All these statistics mean that our data isn’t easy to visualize. PCA improves our ability to visualize data by eliminating those stats that don’t have a significant impact on winning percentage. And, more importantly, PCA tells us something important. I can’t tell which statistics contribute the most to the difference in teams’ winning percentages just by looking at the data tables. With PCA, not only can I see which stat explains the biggest share of the spread, I can see the second-most-important, and the third, and the fourth, and so on.
(The tricky part about PCA is that if a single statistic has a large variance, the algorithm assumes that the statistic is a more important component than a statistic with a small variance.)
To check out the results, look at the presentation and GitHub repository below. My analysis is in the Capstone_Analysis Jupyter notebook.


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--- layout: archive title: Zulip Chat Archive permalink: /stream/113489-new-members/topic/Type*.html ---
Hi, thank you all for the awesome work done on Lean. I have been messing with it for the past month or so, and I'm absolutely amazed by it. Quick question: what does Type*
mean? I haven't encountered an asterisk like that before, and first encountered it when reading Logic and Proof after doing all of the exercises in TPiL.
It usually means Type u
where u
is a universe variable. Basically it lets Lean choose the universe, and it usually chooses the most polymorphic option.
Oh interesting. Is this a more general notation that can be used elsewhere or is it specific to being a placeholder for universes?
I think it's just Type*
and Sort*
. I think Type*
might be the same as Type _
and underscores can be used in a lot of places
@Chris Hughes Does this means that if I don't want to go through the universe details, then I can use Type * or Type _ ?
Yes. Type*
is what is used most of the time to avoid having to think about universes.
@Chris Hughes Sorry for disturbing you, but could you please tell me that why the second one is not accepted by Lean?
This is accepted by Lean:
universe u class Associative {G : Type u} (f : G → G → G) : Type u := (Hassoc : ∀ x y z : G, f (f x y) z = f x (f y z))
But this one not:
class Associative {G : Type _} (f : G → G → G) : Type _ := (Hassoc : ∀ x y z : G, f (f x y) z = f x (f y z))
I guess I was wrong about Type*
being the same as Type _
. Type _
will probably try to infer from the context what the universe should be - it will fill it in with whatever it is forced to be, and will fail if there's nothing forcing it to be a particular universe. and Type*
will fill it in with something sensible basically. I don't know the precise algorithms.
These are not the same; one uses Type u
and the other uses Type _
. I'm pretty sure that Type*
and Type _
are identical
The error message makes it clear what the problem is:
failed to add declaration 'Associative' to environment, type has metavariables
It successfully unified, but it wasn't completely able to pin down the target type because this is also valid:
universe u class Associative {G : Type u} (f : G → G → G) : Type (u+37) := (Hassoc : ∀ x y z : G, f (f x y) z = f x (f y z))
@Mario Carneiro Thanks for the answer. The purpose of the question was to avoid universe hierarchy, and let Lean figured out the universe; hence, I left the return type as Type _. If I do not mention any return type, then it is fine.
class Associative {G : Type _} (f : G → G → G) := (Hassoc : ∀ x y z : G, f (f x y) z = f x (f y z)) #check Associative returns Associative : (?M_1 → ?M_1 → ?M_1) → Type
Coming back to my question (also because of my Coq background), if I want to avoid the universe hierarchy, then what is the best way to go?
@Mukesh Tiwari This technique almost always works, but inductive types are special because you actually have to make a choice of what universe they should live in; the target type is only lower bounded, and different choices above that lead to different types. For definitions and theorems, the universe is uniquely determined from the inputs so you can use Type*
consistently and lean will just figure everything out.
Last updated: Apr 24 2020 at 19:02 UTC


I wonder if anyone suspected me of my habit. My addiction. It was on a whim, really, when I decided use inhalants for the first time. I was sick, frequenting the bathroom often while my body purged everything I ate in combination with somewhat large amounts of blood. Sitting there on the pot was often boring, and the onset of these moments were hardly predictable, so I rarely had time to grab some sort of reading material. I often read the backs of bottles of shampoo, hairspray, air freshener - anything I could get my hands on - to alleviate the boredom. If I was lucky, one of the boys would have left their World of Warcraft guide sitting on the sink for me to flip through.
Of everything, though, the warning on the back of the air freshener can intrigued me the most: ďCAUTION: USE ONLY AS DIRECTED. Intentional misuse by deliberately concentrating and inhaling the contents can be harmful or fatal. Help stop inhalation abuse.Ē From prior experiences running with the wrong crowd back at my old school, I knew that warning meant it could get me high.
 Every now and then, Iíd have a smoke, or a drink, whenever my underage self could get my hands on it. Anything to get rid of the pain I was constantly dealing with, thanks to my poor health.
By the time Iíd started considering inhaling the contents of this can of air freshener, Iíd been clean for months, having recently moved away from my doctors, and my fatherís money that could get me the drugs Iíd wanted. I saw that air freshener as a possible return to the times when Iíd been happiest, and felt most alive.
It took me several days of picking up the can, staring at it, and putting it back down, before I could work up the courage to actually try it. The can did say, after all, that inhaling it was potentially fatal. I did not want to die. I eventually decided that if I only took one huff, it couldnít possibly hurt me, and I would still be able to get a little high.  Something about losing all control of myself while under the influence of a drug never appealed to me, yet the pleasant buzz of a mild high always attracted me like nothing else.
At first, I couldnít decide how to go about inhaling it. Iíd never heard of anyone using air freshener to get high, but I knew it was possible from the labeling of the can itself. Eventually I figured out that if I depressed the trigger only a small bit, I could get the gas without shooting off the liquid as well. I took in only a small bit through my nose and mixed with air. Just one hit, and I felt pleasantly lightheaded, with little coloured dots surrounding my field of vision, much like how I felt while drunk. A small, almost insignificant ringing noise accompanied it. And then, just like that, the feeling was gone, leaving me feeling slightly, but decidedly off. As if something was not quite right. Almost tired, but not quite.
That off feeling persisted for several hours, but I didnít mind it. Somehow its presence made me feel like I was able to better concentrate on my current writing project. The words flowed almost effortlessly through my fingers.
It was several days before I tried it again, and when I did, I again felt the same feelings as before, only a little stronger. I decided then, that I needed that feeling, needed that high. It somehow made the entire world less disgusting to look at, and the filth of the house I now lived in somewhat less vile and easier to ignore. After a time, I started getting headaches when I used too much, but I simply took an Excedrin for the headache, and enjoyed the high I got from the caffeine in the pill.
I continued using it, up until I was taking two or three hits per bathroom gut-dump session.  Despite this, it took several weeks for me to finish off that can of air freshener and move on to the can of hairspray.
Immediately upon using the hairspray, I realized that it took far less from it to get myself to that pleasant lightheadedness I enjoyed so much. I went back down to taking only one hit per gut-dump session. I remember, somehow the sound of the gas entering my nose made me think of a choir of black boys all dressed in blue or maroon robes. I never quite knew why, but I found it entertaining, as those thoughts would inevitably lead to thoughts of Kermit the Frog. Possibly because I knew a black boy who went to a nearby private school named Kermit, and the uniform shirts he had to wear were always maroon.
As time wore on, I told myself I needed to stop and find an alternate source for my high, because the can of hairspray was an expensive brand, and I knew my mom would be pissed if it got all used up so quickly. But I never actually stopped. I found myself another can of air freshener to use instead of my momís hairspray, and continued my habit until that was gone.
Around then, before my second can ran out, I needed to go to the hospital for a week for several blood transfusions, due to the severity of my anemia at the time. The doctors all seemed amazed that I was alive, much less walking and talking and functioning like a normal human being without passing out somewhere along the way. Iíd been going to school, lugging around a big heavy bag with my books, and there had been times then where my vision would nearly black out and I would nearly collapse, but I never did. A part of me wonders if I was able to do that because I would push myself forward, muscles aching and trembling, and focus entirely on the movement of putting one foot in front of the other, to avoid the embarrassment of passing out in a public place. That same part wonders if the chemicals in my system helped with that focus, because the feeling of being high again as if Iíd been huffing, always seemed to coincide with those dizzy spells.
When I got out of the hospital, I felt better than ever, free from my addiction to inhalants, free from the restrictions that the anemia caused, free from the feeling of pain, as I was back on the medications Iíd been using before. Once those pills ran out though, and I couldnít ever convince my mother to refill the prescription, I returned to the inhalants.
I would continue huffing for another year before I realized the very real possibility that this could very well kill me.
I was at my momís fiancťeís parentís house, and while I was in their bathroom, doing the usual, I realized that this high was different. My heart rate went up drastically, and I felt as if I would faint, much like the since returned anemic spells I frequently had. I forced myself to lay down on that dirty bathroom floor, hoping it would pass. It felt like time dragged on and on, and my heart began to ache. I prayed that I was not dying and eventually it slowed and went away. What felt to me like hours, had really only been a matter of minutes, but it was enough to scare the living hell out of me.
 But the can of air freshener always called me back, and I once again fell into the habit, though I was slightly more cautious about it, now.
Iím not sure what changed, but in recent weeks, I havenít really felt the urge to inhale, and reading some of these other experiences, I know I donít want to ever touch it again. Iíve been free of it for several weeks now, yet my mind feels fuzzy. I know I destroyed something with my abuse. The headaches come more frequently, and they often turn to migraines, which by themselves are an entire new painful trip of their own. Now I just get high off of the Excedrin. I canít be sure what it is, but Iím positive itís the caffeine in it that causes my high, as I am still anemic, and Iíve lost weight recently. I donít mind. Caffeine is a legal substance.
Looking back, I know I shouldnít have started using inhalants. Itís made my already poor memory worse, and there are holes that cover nearly the entirety of my life prior to now. I doubt Iíll ever regain those memories, and not having a past to look back on, is far more painful than any physical hurt I have to endure. Itís a mistake I regret constantly, and I can only be consoled by my excessive need to keep a record of things Iíd done in the day. But even with reading those, I feel like Iím reading someone elseís story. Iím still young, though, and I have time to make more memories to replace the ones I lost. Iím lucky I pulled out of the habit when I did.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


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This is a student Hack Club, started by the team of IT Hacker's in SCRIET. The aim of starting it in
college was that in our college students still pay less attention in codings and programmings, more
in
completing degrees.
Our motto is that we can create an environment of Codings in our college. Due to which the skills of
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Because so far, the students in our college think that they get a degree, and get a job after that.
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gifts and prizes are also coming from our New York Headquater for our Best Programmers of the week.
If you are from SCRIET then you can develop your skills by joining our club.
For a better tomorrow, we need to leave the distinction of big and small and come together, because
our founder says, Team works makes dream works.
To join our club, you can join by clicking on the Join button given below, or you can also
contact a team
member of the club.
It is a student community, a group started by some friends along with some classmates.
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Our team has done more than 13 projects so far, which includes Android Development, Websites, and
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Strength is unity ;)