CalTime
CalTime
is a Node.js module which provides objects, methods and functions which
help you manipulate time-spans. Time-spans can be associated with any timezone and the operations
which manipulate them will take their timezone into account.
The most powerful functionality provided by CalTime
is the ability to define
time-based rules. This allows time-spans to be defined following periodic
rules. Examples are:
- 2-3pm on Monday of every week in xx timezone.
- 14:00-16:00 on the 24th of every month in xx timezone.
- 9-10am on the third Tuesday of every month in xx timezone.
Suggested uses include:
- Time tracking. Track the effort assigned to multiple resources across multiple timezones.
- Calculate the cost of resource usage using a calendar of costs which change over time.
- Schedule meetings across multiple timezones and book the required resources.
CalTime
does not attempt to provide functionality which is already provided by
other packages such as Moment. For this reason, CalTime
is not
interested in converting dates or times to or from their string representation.
API Usage
The CalTime
package provides a top-level object with several member functions
and objects. All of these functions and objects can be accessed by requiring
the caltime
package.
var caltime = require('caltime');
// functional constructor for TimeSpan
var timespan = caltime.timeSpan;
// functional constructor for DateSpan
var datespan = caltime.dateSpan;
// function to merge DateSpans in an array
var mergeDateSpans = caltime.mergeDateSpans;
// function to sort DateSpans in an array
var sortDateSpans = caltime.sortDateSpans;
// functional constructor for TimeRule
var timerule = caltime.timeRule;
// Constants object provides all constants
var caltimeConstants = caltime.constants;
TimeSpan
A TimeSpan
object defines an arc of time which starts at a defined time of the day
and which has a defined duration and end time. The TimeSpan
is not associated
with any specific date or timezone. It just defines the span between two points
in time during a single day.
TimeSpan
is deliberately not date specific. It does not take into
account factors such as the timezone, leap seconds or Daylight Savings Time.
var caltime = require('caltime');
// call the functional constructor. do not use the new operator.
var timespanCtor = caltime.timeSpan;
// create a TimeSpan object which represents 09:00am - 10:00am.
var spanA = timespanCtor(9, 0, 0, 0, 60, 0, 0);
timeSpan()
The timeSpan
function is a functional constructor therefore it should not be
called with the new
operator. The function accepts several arguments:
- inHours: Hour component of the start time of the
TimeSpan
(24 hour clock). Valid range is 0-23. - inMinute: Minutes component of the start time. Valid range is 0-59.
- inSeconds: Seconds component of the start time. Valid range is 0-59.
- inMilliseconds: Milliseconds component of the start time. Valid range is 0-999.
- inDurationMins: Minutes component of the duration of the
TimeSpan
in minutes. Durations can exceed one hour and in this case this argument can exceed the value 59. - inDurationSecs: Seconds component of the duration. Valid range is 0-59.
- inDurationMs: Milliseconds component of the duration. Valid range is 0-999.
getHours(), getMinutes, getSeconds() and getMilliseconds()
These methods return the various components of the start time of the TimeSpan
.
var caltime = require('caltime');
var timespanCtor = caltime.timeSpan;
// create a TimeSpan object which represents 09:01:30:444am - 09:31:30:444am.
var spanA = timespanCtor(9, 1, 34, 444, 30, 0, 0);
spanA.getHours(); // 9 hours
spanA.getMinutes(); // 1 minute
spanA.getSeconds(); // 34 seconds
spanA.getMilliseconds(); // 444 milliseconds
getDurationMins(), getDurationSecs() and getDurationMs()
These methods return the various components of the duration of the TimeSpan
.
A TimeSpan
which is longer than 1 hour will have a duration with > 60 minutes.
var caltime = require('caltime');
var timespanCtor = caltime.timeSpan;
// create a TimeSpan object which represents 09:00:0:000am - 09:04:05:006am.
var spanA = timespanCtor(9, 0, 0, 0, 4, 5, 6);
spanA.getDurationMins(); // 4 minutes
spanA.getDurationSecs(); // 5 seconds
spanA.getDurationMs(); // 6 milliseconds
getTotalDuration()
This method returns the total duration of the TimeSpan
in milliseconds.
var caltime = require('caltime');
var timespanCtor = caltime.timeSpan;
// create a TimeSpan object which represents 09:00:0:000am - 09:01:01:001am.
var spanA = timespanCtor(9, 0, 0, 0, 1, 1, 1);
spanA.getTotalDuration(); // 60000+1000+1 = 61001
isEqual()
Method returns true if two TimeSpan
objects have exactly the same start times
and total durations.
var caltime = require('caltime');
var timespanCtor = caltime.timeSpan;
// create a TimeSpan object which represents 09:00:0:000am - 09:01:01:001am.
var spanA = timespanCtor(9, 0, 0, 0, 1, 1, 1);
var spanB = timespanCtor(9, 0, 0, 0, 1, 1, 1);
// create a TimeSpan object which represents 09:00:0:000am - 09:02:00:000am.
var spanC = timespanCtor(9, 2, 0, 0, 0, 0, 0);
spanA.isEqual(spanB); // true
spanA.isEqual(spanC); // false
isIntersect()
Method returns true if two TimeSpan
objects intersect each other i.e. they
overlap. Since the end time of a TimeSpan
is exclusive, overlapping the
beginning of one TimeSpan
with the end time of another does not count as
an intersection.
var caltime = require('caltime');
var timespanCtor = caltime.timeSpan;
// create a TimeSpan object which represents 09:30am - 10:00am.
var spanA = timespanCtor(9, 30, 0, 0, 30, 0, 0);
// create a TimeSpan object which represents 09:45am - 10:00am.
var spanB = timespanCtor(9, 45, 0, 0, 15, 0, 0);
// create a TimeSpan object which represents 10:00am - 10:15am.
var spanC = timespanCtor(10, 0, 0, 0, 15, 0, 0);
spanA.isIntersect(spanB); // true
spanA.isIntersect(spanC); // false
intersect()
Method calculates the intersection, if any, between two TimeSpan
objects
and returns a new TimeSpan
object or null if there was no intersection.
union()
Method calculates the union between two intersecting TimeSpan
objects. It
returns a new TimeSpan
or null if there is no intersection.
subtract()
Method calculates the remainder(s) after subtracting one TimeSpan
from
another. It returns an array containing one or two new TimeSpan
objects
which represent the remainders. The array is empty if there was an exact
overlap between the time-spans and there was no remainder. The method returns
null if subtraction could not be performed because there wasn't sufficient
overlap.
toString()
Method returns a string which represents the state of the TimeSpan
. This
method is only made available for debugging and the format of the string
can change between releases.
DateSpan
Similar to a TimeSpan
, a DateSpan
object specifies a start time and duration, however
the DateSpan
is tied to a specific point in time i.e. a specific date which
is affected by timezone, leap years and Daylight Savings Time.
dateSpan()
The dateSpan
function is a functional constructor therefore it should not be
called with the new
operator. The function accepts several arguments:
- inBegin: A valid Date object which indicates the start time and date.
- inEnd: Optional argument. A valid Date object which indicates the end time and date. Pass null when it is preferred to specify the duration.
- inDurationMins: Minutes component of the duration of the
DateSpan
in minutes. Durations can exceed one hour and in this case this argument can exceed the value 59. The argument is optional and should not be passed if inEnd is specified. - inDurationSecs: Seconds component of the duration. Valid range is 0-59. The argument is optional and should not be passed if inEnd is specified.
inDurationMs: Milliseconds component of the duration. Valid range is 0-999. The argument is optional and should not be passed if inEnd is specified.
var caltime = require('caltime'); var datespanCtor = caltime.dateSpan; // DateSpan object which represents 09:00:00:000am - 09:30:00:000am, 15.Nov.2017. var beginDate = new Date(2017, 10, 15, 9, 0, 0, 0); var spanA = datespanCtor(beginDate, 30, 0, 0);
getBegin()
This method returns the start time of the DateSpan
as a Date object.
var caltime = require('caltime');
var datespanCtor = caltime.dateSpan;
// DateSpan object which represents 09:00:00:000am - 09:30:00:000am, 15.Nov.2017.
var beginDate = new Date(2017, 10, 15, 9, 0, 0, 0);
var spanA = datespanCtor(beginDate, 30, 0, 0);
spanA.getBegin(); // Date object
getDurationMins(), getDurationSecs() and getDurationMs()
These methods return the various components of the duration of the DateSpan
.
A DateSpan
which is longer than 1 hour will have a duration with > 60 minutes.
var caltime = require('caltime');
var datespanCtor = caltime.dateSpan;
// DateSpan object which represents 09:00:00:000am - 09:30:11:222am, 15.Nov.2017.
var beginDate = new Date(2017, 10, 15, 9, 0, 0, 0);
var spanA = datespanCtor(beginDate, 30, 11, 222);
spanA.getDurationMins(); // 30 minutes
spanA.getDurationSecs(); // 11 seconds
spanA.getDurationMs(); // 222 milliseconds
getTotalDuration
Method returns the total duration of the DateSpan
in milliseconds.
var caltime = require('caltime');
var datespanCtor = caltime.dateSpan;
// DateSpan object which represents 09:00:00:000am - 09:31:02:003am, 15.Nov.2017.
var beginDate = new Date(2017, 10, 15, 9, 0, 0, 0);
var spanA = datespanCtor(beginDate, 1, 2, 3);
spanA.getTotalDuration(); // (1*60000)+(2*1000)+(3) = 62003 milliseconds
getEnd()
This method returns the end time of the DateSpan
as a Date object.
var caltime = require('caltime');
var datespanCtor = caltime.dateSpan;
// DateSpan object which represents 09:00:00:000am - 09:30:00:000am, 15.Nov.2017.
var beginDate = new Date(2017, 10, 15, 9, 0, 0, 0);
var spanA = datespanCtor(beginDate, 30, 0, 0);
spanA.getEnd(); // Date object with time 09:30am
isIntersect
Method returns true if two DateSpan
objects intersect each other i.e. they
overlap. Since the end time of a DateSpan
is exclusive, overlapping the
beginning of one DateSpan
with the end time of another does not count as
an intersection.
var caltime = require('caltime');
var datespanCtor = caltime.timeSpan;
// DateSpan object which represents 09:00:00:000am - 09:30:00:000am, 15.Nov.2017.
var beginDate = new Date(2017, 10, 15, 9, 0, 0, 0);
var spanA = datespanCtor(beginDate, 30, 0, 0);
// create a DateSpan object which represents 09:45am - 10:00am.
beginDate = new Date(2017, 10, 15, 9, 45, 0, 0);
var spanB = datespanCtor(beginDate, 15, 0, 0);
// create a DateSpan object which represents 10:00am - 10:15am.
beginDate = new Date(2017, 10, 15, 10, 0, 0, 0);
var spanC = datespanCtor(beginDate, 15, 0, 0);
spanA.isIntersect(spanB); // true
spanA.isIntersect(spanC); // false
intersect()
Method calculates the intersection, if any, between two DateSpan
objects
and returns a new DateSpan
object or null if there was no intersection.
union()
Method calculates the union between two intersecting DateSpan
objects. It
returns a new DateSpan
or null if there is no intersection.
subtract()
Method calculates the remainder(s) after subtracting one DateSpan
from
another. It returns an array containing one or two new DateSpan
objects
which represent the remainders. The array is empty if there was an exact
overlap between the date-spans and there was no remainder. The method returns
null if subtraction could not be performed because there wasn't sufficient
overlap.
toString()
Method returns a string which represents the state of the DateSpan
. This
method is only made available for debugging and the format of the string
can change between releases.
mergeSpans()
Function is passed an Array of DateSpan
objects and sorts the objects in
the array based on the start time. It then merges any of the DateSpan
objects
which are overlapping. A new array is returned (merging is not in-situ) which
contains the merged and non-merged DateSpan
objects.
sortSpans()
Function creates and returns a new Array which contains the same DateSpan
objects which are sorted by their start time.
TimeRule
The TimeRule
object allows logic to be defined which can then be used to
automatically generate DateSpan
objects for a range of time. Several types
of rules can be created. The constraint applied to the rule controls for which
days or dates the DateSpan
objects are created. Possible constraints are:
- The same day of the week, every week e.g. every Monday from 9-10am.
- The same date every month e.g. 4th of every month from 1-2pm.
- The Nth weekday of every month e.g. 3rd Tuesday of the month from 9-10pm.
timeRule()
The timeRule
function is a functional constructor, therefore it should not be
called with the new
operator. The function accepts several arguments:
- inTimeSpan:
TimeSpan
object describing the start time and duration of theDateSpan
objects which will be generated by the rule. - inConstraint: Controls how the rule generates
DateSpan
objects. Constants for each type of constraint are provided by theCalTime
module's constants object. - inDay: Specifies the day of the week or day of the month. How this value is
interpreted depends on
inConstraint
. - inTZ: String defining the timezone used when generating the
DateSpan
objects. See https://www.iana.org/time-zones for valid timezone identifier strings. The timezone is required because theinTimeSpan
argument is timezone agnostic. - inBegin: Optional argument. Defines a start time before which the rule does
not apply and therefore does not generate any
DateSpan
objects. - inEnd: Optional argument. Defines an end time after which the rule does
not apply and therefore does not generate any
DateSpan
objects.
getTimeSpan()
Method returns a TimeSpan
object which defines the span of time during the day
which is used when generating the DateSpan
objects.
getDay()
Method returns the day (0 (Sunday) - 6 (Saturday) of the week or day of the month (1-31)
which indicates which days which the rule will generate a DateSpan
object.
getTZ()
Method returns a string which indicates the timezone used when generating the
DateSpan
objects.
getBegin()
This method returns the start time from which the rule begins generating
DateSpan
objects.
getEnd()
This method returns the end time up to which the rule generates DateSpan
objects.
generateDateSpans()
The method generates an Array of DateSpan
objects which meet all of the constraints
imposed by the TimeRule
.
Dependencies
CalTime
currently depends on two packages when in production. Other packages are
required to test or develop CalTime
. The production dependencies are:
License
CalTime is copyright (c) 2017 Michael McCarthy<EMAIL_ADDRESS>CalTime is free software, licensed under the MIT licence. See the file LICENSE.md
in this distribution for more information.


StaticAnalysis Class Reference
Records access to various parts of the context during static resolution.
More...
#include <StaticAnalysis.hpp>
List of all members.
Classes |
| class | VarEntry |
Public Types |
| enum | Properties {
DOCORDER = 0x001,
PEER = 0x002,
SUBTREE = 0x004,
GROUPED = 0x008,
SAMEDOC = 0x010,
ONENODE = 0x020,
SELF = 0x040,
UNDEFINEDVAR = 0x080
} |
| | Properties that allow optimisation regarding sorting or not.
More...
|
Public Member Functions |
| | StaticAnalysis (XPath2MemoryManager *memMgr) |
| | StaticAnalysis (const StaticAnalysis &o, XPath2MemoryManager *memMgr) |
| void | copy (const StaticAnalysis &o) |
| void | release () |
| void | clear () |
| | Clears all the information in this StaticAnalysis.
|
| void | clearExceptType () |
| void | forceNoFolding (bool value) |
| | Overrides all the other flags, and never allows this sub-expression to be constant folded.
|
| bool | isNoFoldingForced () const |
| void | contextItemUsed (bool value) |
| void | contextPositionUsed (bool value) |
| void | contextSizeUsed (bool value) |
| bool | isContextItemUsed () const |
| bool | isContextPositionUsed () const |
| bool | isContextSizeUsed () const |
| bool | areContextFlagsUsed () const |
| | Returns true if any of the context item flags have been used.
|
| void | currentTimeUsed (bool value) |
| void | implicitTimezoneUsed (bool value) |
| void | availableDocumentsUsed (bool value) |
| void | availableCollectionsUsed (bool value) |
| bool | areDocsOrCollectionsUsed () const |
| void | variableUsed (const XMLCh *namespaceURI, const XMLCh *name) |
| bool | removeVariable (const XMLCh *namespaceURI, const XMLCh *name) |
| bool | isVariableUsed (const XMLCh *namespaceURI, const XMLCh *name) const |
| bool | isVariableUsed () const |
| VarEntry ** | variablesUsed () const |
| void | add (const StaticAnalysis &o) |
| | Sets the members of this StaticAnalysis from the given StaticAnalysis.
|
| void | addExceptContextFlags (const StaticAnalysis &o) |
| void | addExceptVariable (const XMLCh *namespaceURI, const XMLCh *name, const StaticAnalysis &o) |
| bool | isUsed () const |
| | Returns true if flags are set, or variables have been used.
|
| bool | isUsedExceptContextFlags () const |
| void | creative (bool value) |
| bool | isCreative () const |
| void | updating (bool value) |
| bool | isUpdating () const |
| void | possiblyUpdating (bool value) |
| bool | isPossiblyUpdating () const |
| unsigned int | getProperties () const |
| void | setProperties (unsigned int props) |
| const StaticType & | getStaticType () const |
| StaticType & | getStaticType () |
| std::string | toString () const |
Static Public Attributes |
| static const int | HASH_SIZE = 13 |
Detailed Description
Records access to various parts of the context during static resolution.
Member Enumeration Documentation
Properties that allow optimisation regarding sorting or not.
The values are OR'd as flags, so they must be distinct bits
- Enumerator:
| DOCORDER |
Results are returned in document order.
|
| PEER |
Results do not appear in the descendants of other results.
|
| SUBTREE |
Results are members of the set of descendants of the context node.
|
| GROUPED |
Results are grouped by the document they come from.
|
| SAMEDOC |
Results are from the same document as the context node.
|
| ONENODE |
Only ever returns one node.
|
| SELF |
Only ever returns the context node.
|
| UNDEFINEDVAR |
This is a variable that has been undefined.
|
Constructor & Destructor Documentation
Member Function Documentation
| void StaticAnalysis::addExceptContextFlags |
( |
const StaticAnalysis & |
o |
) |
|
| void StaticAnalysis::addExceptVariable |
( |
const XMLCh * |
namespaceURI, |
|
|
const XMLCh * |
name, |
|
|
const StaticAnalysis & |
o | |
|
) |
| | |
| bool StaticAnalysis::areContextFlagsUsed |
( |
|
) |
const |
Returns true if any of the context item flags have been used.
| bool StaticAnalysis::areDocsOrCollectionsUsed |
( |
|
) |
const |
| void StaticAnalysis::availableCollectionsUsed |
( |
bool |
value |
) |
|
| void StaticAnalysis::availableDocumentsUsed |
( |
bool |
value |
) |
|
| void StaticAnalysis::clear |
( |
|
) |
|
| void StaticAnalysis::clearExceptType |
( |
|
) |
|
| void StaticAnalysis::contextItemUsed |
( |
bool |
value |
) |
|
| void StaticAnalysis::contextPositionUsed |
( |
bool |
value |
) |
|
| void StaticAnalysis::contextSizeUsed |
( |
bool |
value |
) |
|
| void StaticAnalysis::creative |
( |
bool |
value |
) |
|
| void StaticAnalysis::currentTimeUsed |
( |
bool |
value |
) |
|
| void StaticAnalysis::forceNoFolding |
( |
bool |
value |
) |
|
Overrides all the other flags, and never allows this sub-expression to be constant folded.
| unsigned int StaticAnalysis::getProperties |
( |
|
) |
const |
| const StaticType& StaticAnalysis::getStaticType |
( |
|
) |
const |
| void StaticAnalysis::implicitTimezoneUsed |
( |
bool |
value |
) |
|
| bool StaticAnalysis::isContextItemUsed |
( |
|
) |
const |
| bool StaticAnalysis::isContextPositionUsed |
( |
|
) |
const |
| bool StaticAnalysis::isContextSizeUsed |
( |
|
) |
const |
| bool StaticAnalysis::isCreative |
( |
|
) |
const |
| bool StaticAnalysis::isNoFoldingForced |
( |
|
) |
const |
| bool StaticAnalysis::isPossiblyUpdating |
( |
|
) |
const |
| bool StaticAnalysis::isUpdating |
( |
|
) |
const |
| bool StaticAnalysis::isUsed |
( |
|
) |
const |
Returns true if flags are set, or variables have been used.
| bool StaticAnalysis::isUsedExceptContextFlags |
( |
|
) |
const |
| bool StaticAnalysis::isVariableUsed |
( |
|
) |
const |
| bool StaticAnalysis::isVariableUsed |
( |
const XMLCh * |
namespaceURI, |
|
|
const XMLCh * |
name | |
|
) |
| | const |
| void StaticAnalysis::possiblyUpdating |
( |
bool |
value |
) |
|
| void StaticAnalysis::release |
( |
|
) |
|
| bool StaticAnalysis::removeVariable |
( |
const XMLCh * |
namespaceURI, |
|
|
const XMLCh * |
name | |
|
) |
| | |
| void StaticAnalysis::setProperties |
( |
unsigned int |
props |
) |
|
| std::string StaticAnalysis::toString |
( |
|
) |
const |
| void StaticAnalysis::updating |
( |
bool |
value |
) |
|
| VarEntry** StaticAnalysis::variablesUsed |
( |
|
) |
const |
| void StaticAnalysis::variableUsed |
( |
const XMLCh * |
namespaceURI, |
|
|
const XMLCh * |
name | |
|
) |
| | |
Member Data Documentation
The documentation for this class was generated from the following file:


Shop
Winter 2017
Process
About Us
Clothes as natural as you are
Do one thing well.
We make clothes. That’s it. Nothing else. No distractions. Nothing to steal our focus.
View Lookbooks


Online Ordering with SRT
Your customers get to skip the line.
You get happy customers.
What it does
- Shows customers a menu of items offered by your business
- Allows your customer to build an order, specify a pickup time, and pay online
- Tracks each order from payment through fulfillment
- Intelligently notifies your employees when to execute an order
- Allows recurring orders on a regular schedule for repeat customers
How it Works
- Customer orders are placed through a mobile-responsive web-page. This can be hosted on the your existing web site. Or on an SRT-hosted page (orders.yourbusiness.com)
- Completed orders are sent to SRT’s server for processing and credit card charging
- Tablet computer at your location displays completed orders a specified amount of time before they are due for collection
- Employee swipes on tablet when order is complete (if customer wishes to be notified) and when it is picked up
How the Money Works
- All credit card transactions are handled by Stripe (www.stripe.com)
- Stripe charges 2.9% + $0.30 per transaction
- SRT charges an additional 1.1% + $0.10 per transaction
- Money is deposited in client bank account on a rolling 7-day basis.
Compare:
- Breadcrumb: 1.8% + $0.15/swipe (+hardware/acct fees)
- Square: 2.75% + $0.00/swipe + (+hardware/acct fees)
- Braintree: 2.9% + $0.30/trans (no add. fees)
- PayPal: 2.9% + $0.30/trans (no add. fees)
How This Helps Your Customers
- They don’t have to wait in line to order
- They can be en route to your business as you make their order
- They can save their regular order and not have to enter it every time
- They can pay by credit card without having to find their card, swipe, and sign.
How This Helps You
- A happy customer is a repeat customer
- You can easily track customer habits
- Your employees don’t have to spend as much time working the register
- You can target marketing at repeat customers
- Customers bypassing cashiers means you can service more customers
- Online ordering provides a potential new revenue stream
Why Would a Robotics Company be Doing This?
- We believe the future is automated
- But it will come in small steps
- The core of a service business may never be automated
- For the mundane, repetitive tasks, we'd love to help. For many businesses, those tasks start with the order.


Charly is a crafty lady who loves cooking, writing code, hanging out with her kid, and exploring the Pacific Northwest with her dogs. She dreams in bright colors and mathematics, and fantasizes about her impending ability to handle big data.
Brance is a builder, designer, thinker, player, fiddler, coder, musician and chihuahua owner. He aspires to be RV bound with his graphic designer girlfriend roving the states with their two dogs, while building a more beautiful internet.
Katlyn enjoys warping time while learning to speak in code. When not making something or curating ideas, she and her teens continue their quest for the perfect taco. If she wins the lottery, expect a glitterfest before she disappears to travel the world.


This map shows the locations of all DC contributors. You can display them as individual points color-coded by candidate, as clusters, or as a heat map. The colors in the clusters have nothing to do with candidates; they just represent the size of the cluster. Similarly, the colors in the heat map just represent the concentration of contributors in an area.
A few contributors are excluded because they had bad addresses (PO boxes, typos, missing or wrong quadrant, and other problems). I fixed a fair number of them manually, since I got a little obsessive, but almost 3% remain unmappable.
This table is the only part of the analysis that includes amounts of money raised. Hover or tap the row name for a description of what the numbers mean.
A small number of contributors may be double-counted because they gave twice under different variations of their name or address, though I did try to standardize addresses to avoid that.

These calculations of Fair Elections money assume that anyone who has met the requirements for the funds will be approved for them and make it onto the ballot. In reality, some candidates may not get all that money. For candidates who are not using the Fair Elections program and those who have not yet met the requirements for number of contributors and amount raised, the Fair Elections money is 0.
For Fair Elections candidates, candidate and family contributions for this analysis are only those that are not matched and have a higher limit. Some candidates and family members gave the normal limit or less, and those contributions are matched like any other.
In each row, the lowest number is highlighted in yellow and the highest in blue. Which one of those is good or bad depends on the row.
I thought it would be interesting to see what contributors have given to these candidates and have also given to other campaigns in the past (or even this year). I matched up contributors across campaign committees back to 2010. These tables list the top 10 campaigns that these candidates share contributors with, with the number of shared contributors and the percentage that is of the current candidate's contributors. I listed other campaigns only if they share at least 5 contributors making up at least 5% of a campaign's total (so candidates without enough shared contributor data to be meaningful will not have a table shown). These numbers are not perfect because of variations in names and addresses (though I did a lot of fixing up to make them match better), and because people change their addresses and their names.
These charts show how the number of contributors increased over time for each candidate, with all contributors, then DC residents, and finally ward residents.
These pie charts show how the contributors were distributed over states (upper left) and DC wards (lower right). The light gray "Other" slices combine all places that were below 2% each, and "Unknown" in the Ward represents bad addresses whose ward could not be determined. You can hover your cursor over a slice or tap it to see what place it represents.


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My Story
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Department of Justice
www.justice.gc.ca
Home > The Department > Proactive Disclosure
Disclosure of Contracts
|
Vendor Name: |
Corporate Express
|
| Reference
Number: |
4500079255
|
| Contract
Date: |
2008-03-31
|
| Description
of Work: |
1172 Office & Stationers Supplies
|
| Contract
Period: |
2008-03-05 to 2008-03-31
|
| Delivery
Date: |
|
| Contract
Value: |
$21,000.00
|
| Comments:
|
|
|


Emits random values within a range and which change on reset, trigger, or optionally note on.
- High
- The high end of the random range
- Low
- The low end of the random range
- Trigger
- Changes the random value in the output on receiving a trigger event
- Seed
- The random number seed. This seed is deterministic. If you would like nondeterministic random values, set the seed to Free.
- Note On
- Changes to a new random value when on a note on event occurs, in addition to incoming triggers and on reset.


Dear Accounts Team,
Attached is a report of all active subscriptions ending today ({{ today }}) through {{ forty_days }}, who do not have a Dimagi contact. If there is a Dimagi Contact, they will receive an automated reminder similar to this.
Cheers,
--The CommCare HQ Team


ANALYZE THIS RATING: 8 / 10 --> Great movie
For more reviews and movie trivia, visit http://www.joblo.com/
Serious actor Robert DeNiro lines up in another one of his every-now-and-again comedy roles, satirizing a role that he knows all too well...a mobster. This movie also co-stars every other mafia-looking actor this side of Italy, and the seriously-looking-for-a-hit-movie actor, Billy Crystal.
PLOT: Mafia kingpin suddenly finds himself suffering from panic attacks, stress and bouts of sadness during his everyday mob routines. He decides to help himself, by seeing a psychiatrist. The shrink is not very willing to help the renowned gangster during the week of his own wedding bliss, but a little strong-arming by the kingpin's "associates", ultimately waives the doctor's well-rooted reservations.
CRITIQUE: This is a very funny movie, I mean, it's like...fuggeddaboudit! Whether or not you enjoy mob movies, this film will have you laughing out loud during several scenes, chuckling along to DeNiro's infantile blubbering sessions, and re-appreciating Billy Crystal for the superior comedic actor that he is. This movie takes a completely overdone film genre, the mob films, and mixes it into a great script, some super performances, and an all-around good time. It's never boring, striking jokes at every other line, and confirms Robert DeNiro's stature as one of the greatest American actors of his generation. The superb performance put forth by DeNiro in this movie, is one of the main reasons that it works. You like to watch DeNiro. He has that charisma, that look, that weighty presence that makes you want to see him in each and every scene. He even convinces during his ultimate "breakthrough" scene with his doctor. This man is truly an American acting legend.
The one thing that did surprise me about this movie was its excessive use of obscenities. Not that I mind that one bit, it just threw me back a little considering that it was a comedy. Having said that, another reason for the script to work as well as it does, is because it doesn't overly parody the mafia folks like in other comedies. It shows them as they are, violence, swearings and all, with pointed humour laced throughout. This was the first movie since THERE'S SOMETHING ABOUT MARY (7/10) that actually had me missing many of its lines, due to the audience's over-the-top laughter. I personally loved the whole "Freud" scene the best, along with the hilarious remake of a very famous scene from a very famous mafia movie. Francis would be proud! I'm actually looking forward to seeing this movie again on video, so that I could catch all of the lines the next time around. The light tone of the movie and its soundtrack are additional points to director Ramis, as well as the upbeat pacing and the solid acting. The film might not go down as well for non-DeNiro or non-Crystal fans, but everyone else should prepare to strap on their giggle-belts.
This movie's got an original premise, some convincing performances by its leads, especially DeNiro in an atypical role, and plenty of fresh humour sprinkled throughout its spaghettilicious body of fun. Capice??
Little Known Facts about this film and its stars: Billy Crystal once studied directing under the guise of legendary director Martin Scorsese (a man Robert DeNiro knows quite well) at New York University. Crystal is also known to have played the first openly gay character on a network television series, "Soap". One of the producers of this film, Jane Rosenthal, founded the Tribeca Productions company with Robert DeNiro. Bobby received US$8Million for his role in this film. Born and raised in California, Lisa Kudrow attended Vassar College and graduated with a bachelor's degree in biology, intending to pursue a career in medical research with her father, a renowned headache specialist. But when she returned to California after college, her passion for performing also came back. Encouraged by her brother's good friend, actor/comedian Jon Lovitz, she began studying improvisation, and in 1989, became a member of the famed Los Angeles improvisational group, The Groundlings. She claimed to be a virgin until she got married in 1995 to French advertising exec Michel Stern. She was 31 at the time. Joseph Viterelli was a late bloomer in his acting career. For more than 25 years he had been offered acting opportunities from producers, casting directors, and directors, including his longtime friend, filmmaker Leo Penn. Viterelli declined them all until 1989, when Sean Penn called and said they were having difficulty casting a character from the Lower East Side in a film that was shooting on location in Viterelli's old neighborhood on Mott Street. That screen test led to a major role in Phil Joanou's STATE OF GRACE, Viterelli's motion picture debut. CASTING FUN: The roles of Vitti's "people" were filled in a rather more unconventional manner. "We sort of adopted the Martin Scorsese-Bob DeNiro method of casting when it came to the Mob roles," Ramis says. "This consists of Bob and Marty walking the streets of Little Italy, spotting a civilian, saying, 'Hey, that guy would look good,' and signing him up.
Review Date: February 20, 1999 Director: Harold Ramis Writers: Peter Tolan, Harold Ramis and Ken Lonergan Producers: Jane Rosenthal and Paula Weinstein Actors: Robert DeNiro as Paul Vitti, Billy Crystal as Ben Sobol, Lisa Kudrow as Laura, Joseph Viterelli as Jelly Genre: Comedy Year of Release: 1999
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Football: Seattle Sounders defeat Toronto FC in MLS Cup final
LOS ANGELES: Seattle defenders Kelvin Leerdam and Victor Rodriguez and Peruvian striker Raul Ruidiaz scored second-half goals to spark the Sounders over Toronto FC 3-1 in Sunday's (Nov 10) MLS Cup championship match.
"The atmosphere was amazing," said Spanish reserve Rodriguez, who was named the MLS Cup Most Valuable Player. "I will remember this moment as long as I live. I'm really happy."
It was the third championship match meeting over four seasons for Toronto and Seattle, but their first on US soil.
The Sounders won the 2016 crown on penalties after a goalless draw but the Canadian club avenged the loss by capturing the 2017 title 2-0.
"We are so competitive," Rodriguez said. "We have really good mentality always. And at home with our fans it's a little bit easier for us. I'm proud for all my teammates. We really deserved that."
Dutchman Leerdam's blast deflected in off Toronto defender Justin Morrow but officials chose not to call it an own goal in the 57th minute, the score against the run of play giving the Sounders the lead for good.
Rodriguez took a centering pass from Uruguayan midfielder Nicolas Lodeiro at the top of the box and smashed a right-footed shot into the far corner in the 76th minute.
Ruidiaz added Seattle's final goal in the 90th minute, netting his seventh goal in six career playoff matches.
American Jozy Altidore, who came off Toronto's bench in the second half after missing most of the playoffs with a quadriceps injury, scored in the third minute of stoppage time to avert a shutout for the Reds.
Leerdam, a 29-year-old Suriname-born right back, hit a shot that was going wide before striking Morrow.
It wasn't the first costly mistake by Morrow in an MLS Cup final. In 2016, he missed Toronto's last penalty kick off the crossbar just before Seattle's Roman Torres netted the title-taking kick.
'A DANGEROUS TEAM'
It was the second MLS title for 57-year-old hometown coach Brian Schmetzer, who began his playing career with the original Sounders in 1980.
"It's a good moment for Seattle and the fans and the players, who have overcome adversity all year," he said.
"The first goal, Kelvin got the deflection and that got us started. My team is a dangerous team and that really got us going."
Toronto sustained early pressure, with Canadian Jonathan Osorio and Frenchman Nicolas Benezet forcing saves by Seattle goalkeeper Stefan Frei in the first 11 minutes and Sounders winger Jordan Morris denied on a counter-attack by Toronto goalkeeper Quentin Westberg.
Frei deflected a Benezet shot with his left arm in the 36th minute and Westberg saved a Ruidiaz right-footed blast from the heart of the box in the 45th minute to keep the game scoreless at half-time.


MetaStorm is a web resource designed to analyze metegenomics data using several computational pipelines (including assembly and read matching)
.
If you use MetaStorm please cite:
Arango-Argoty G., Singh, G., S. Heath L., Pruden A., Xiao W., Zhang L. MetaStorm: A Public Resource for Customizable Metagenomics Annotation.
(PLOS ONE)


{% extends "base.html" %} {% block title %}{% endblock %} {% block head %} {{ super() }} {% endblock %} {% block content %}
Welcome to the Experimental data cross validation page.
In this page, the experimental and numerical data collected from the numerical and physical prototype of the three-story building in each university
are presented.
Four prototypes of the three-storey structure were made in four different universities: Sheffeild, Swansea,
Southampton and Bristol university. In addition, for each prototype,
a numerical model was performed for validation purpose.
A validation between the numerical and experimental data is shown
in addition to a comparision of experimental results collected from the different prototypes of the physical stucture.


Class collections.FilteringEnumeration
All Packages Class Hierarchy This Package Previous Next Index
Class collections.FilteringEnumeration
java.lang.Object
|
+----collections.FilteringEnumeration
- public class FilteringEnumeration
- extends Object
- implements Enumeration
FilteringEnumerations allow you to filter out elements from
other enumerations before they are seen by their `consumers'
(i.e., the callers of `nextElement').
FilteringEnumerations work as wrappers around other Enumerations.
To build one, you need an existing Enumeration (perhaps one
from coll.elements(), for some Collection coll), and a Predicate
object (i.e., implementing interface Predicate).
For example, if you want to screen out everything but Panel
objects from a collection coll that might hold things other than Panels,
write something of the form:
Enumeration e = coll.elements();
Enumeration panels = FilteringEnumeration(e, IsPanel);
while (panels.hasMoreElements())
doSomethingWith((Panel)(panels.nextElement()));
To use this, you will also need to write a little class of the form:
class IsPanel implements Predicate {
boolean predicate(Object v) { return (v instanceof Panel); }
}
- See Also:
- predicate
-
FilteringEnumeration(Enumeration, Predicate)
- Make a Filter using src for the elements, and p as the screener,
selecting only those elements of src for which p is true
-
FilteringEnumeration(Enumeration, Predicate, boolean)
- Make a Filter using src for the elements, and p as the screener,
selecting only those elements of src for which p.predicate(v) == sense.
-
hasMoreElements()
- Implements java.util.Enumeration.hasMoreElements
-
nextElement()
- Implements java.util.Enumeration.nextElement.
FilteringEnumeration
public FilteringEnumeration(Enumeration src,
Predicate p)
- Make a Filter using src for the elements, and p as the screener,
selecting only those elements of src for which p is true
FilteringEnumeration
public FilteringEnumeration(Enumeration src,
Predicate p,
boolean sense)
- Make a Filter using src for the elements, and p as the screener,
selecting only those elements of src for which p.predicate(v) == sense.
A value of true for sense selects only values for which p.predicate
is true. A value of false selects only those for which it is false.
hasMoreElements
public synchronized boolean hasMoreElements()
- Implements java.util.Enumeration.hasMoreElements
nextElement
public synchronized Object nextElement()
- Implements java.util.Enumeration.nextElement.
All Packages Class Hierarchy This Package Previous Next Index


segment v2.0.0-rc.2 Segment.Http View Source
Link to this section Summary
Functions
Issues a DELETE request to the given url.
Issues a DELETE request to the given url, raising an exception in case of failure.
Issues a GET request to the given url.
Issues a GET request to the given url, raising an exception in case of failure.
Issues a HEAD request to the given url.
Issues a HEAD request to the given url, raising an exception in case of failure.
Issues an OPTIONS request to the given url.
Issues a OPTIONS request to the given url, raising an exception in case of failure.
Issues a PATCH request to the given url.
Issues a PATCH request to the given url, raising an exception in case of failure.
Issues a POST request to the given url.
Issues a POST request to the given url, raising an exception in case of failure.
Callback implementation for HTTPoison.Base.process_headers/1
.
Callback implementation for HTTPoison.Base.process_request_body/1
.
Callback implementation for HTTPoison.Base.process_request_headers/1
.
Callback implementation for HTTPoison.Base.process_request_options/1
.
Callback implementation for HTTPoison.Base.process_request_params/1
.
Callback implementation for HTTPoison.Base.process_request_url/1
.
Callback implementation for HTTPoison.Base.process_response/1
.
Callback implementation for HTTPoison.Base.process_response_body/1
.
Callback implementation for HTTPoison.Base.process_response_chunk/1
.
Callback implementation for HTTPoison.Base.process_response_headers/1
.
Callback implementation for HTTPoison.Base.process_response_status_code/1
.
Callback implementation for HTTPoison.Base.process_status_code/1
.
Callback implementation for HTTPoison.Base.process_url/1
.
Issues a PUT request to the given url.
Issues a PUT request to the given url, raising an exception in case of failure.
Issues an HTTP request using a Request
struct.
Issues an HTTP request with the given method to the given url.
Issues an HTTP request with the given method to the given url, raising an exception in case of failure.
Starts HTTPoison and its dependencies.
Requests the next message to be streamed for a given HTTPoison.AsyncResponse
.
Link to this section Types
body()
View Source
body() :: HTTPoison.Base.body()
body() :: HTTPoison.Base.body()
headers()
View Source
headers() :: HTTPoison.Base.headers()
headers() :: HTTPoison.Base.headers()
options()
View Source
options() :: HTTPoison.Base.options()
options() :: HTTPoison.Base.options()
params()
View Source
params() :: HTTPoison.Base.params()
params() :: HTTPoison.Base.params()
request()
View Source
request() :: HTTPoison.Base.request()
request() :: HTTPoison.Base.request()
url()
View Source
url() :: HTTPoison.Base.url()
url() :: HTTPoison.Base.url()
Link to this section Functions
delete(url, headers \\ [], options \\ [])
View Source
delete(binary(), headers(), Keyword.t()) ::
{:ok, HTTPoison.Response.t() | HTTPoison.AsyncResponse.t()}
| {:error, HTTPoison.Error.t()}
delete(binary(), headers(), Keyword.t()) :: {:ok, HTTPoison.Response.t() | HTTPoison.AsyncResponse.t()} | {:error, HTTPoison.Error.t()}
Issues a DELETE request to the given url.
Returns {:ok, response}
if the request is successful, {:error, reason}
otherwise.
See request/5
for more detailed information.
delete!(url, headers \\ [], options \\ [])
View Source
delete!(binary(), headers(), Keyword.t()) ::
HTTPoison.Response.t() | HTTPoison.AsyncResponse.t()
delete!(binary(), headers(), Keyword.t()) :: HTTPoison.Response.t() | HTTPoison.AsyncResponse.t()
Issues a DELETE request to the given url, raising an exception in case of failure.
If the request does not fail, the response is returned.
See request!/5
for more detailed information.
get(url, headers \\ [], options \\ [])
View Source
get(binary(), headers(), Keyword.t()) ::
{:ok, HTTPoison.Response.t() | HTTPoison.AsyncResponse.t()}
| {:error, HTTPoison.Error.t()}
get(binary(), headers(), Keyword.t()) :: {:ok, HTTPoison.Response.t() | HTTPoison.AsyncResponse.t()} | {:error, HTTPoison.Error.t()}
Issues a GET request to the given url.
Returns {:ok, response}
if the request is successful, {:error, reason}
otherwise.
See request/5
for more detailed information.
get!(url, headers \\ [], options \\ [])
View Source
get!(binary(), headers(), Keyword.t()) ::
HTTPoison.Response.t() | HTTPoison.AsyncResponse.t()
get!(binary(), headers(), Keyword.t()) :: HTTPoison.Response.t() | HTTPoison.AsyncResponse.t()
Issues a GET request to the given url, raising an exception in case of failure.
If the request does not fail, the response is returned.
See request!/5
for more detailed information.
head(url, headers \\ [], options \\ [])
View Source
head(binary(), headers(), Keyword.t()) ::
{:ok, HTTPoison.Response.t() | HTTPoison.AsyncResponse.t()}
| {:error, HTTPoison.Error.t()}
head(binary(), headers(), Keyword.t()) :: {:ok, HTTPoison.Response.t() | HTTPoison.AsyncResponse.t()} | {:error, HTTPoison.Error.t()}
Issues a HEAD request to the given url.
Returns {:ok, response}
if the request is successful, {:error, reason}
otherwise.
See request/5
for more detailed information.
head!(url, headers \\ [], options \\ [])
View Source
head!(binary(), headers(), Keyword.t()) ::
HTTPoison.Response.t() | HTTPoison.AsyncResponse.t()
head!(binary(), headers(), Keyword.t()) :: HTTPoison.Response.t() | HTTPoison.AsyncResponse.t()
Issues a HEAD request to the given url, raising an exception in case of failure.
If the request does not fail, the response is returned.
See request!/5
for more detailed information.
options(url, headers \\ [], options \\ [])
View Source
options(binary(), headers(), Keyword.t()) ::
{:ok, HTTPoison.Response.t() | HTTPoison.AsyncResponse.t()}
| {:error, HTTPoison.Error.t()}
options(binary(), headers(), Keyword.t()) :: {:ok, HTTPoison.Response.t() | HTTPoison.AsyncResponse.t()} | {:error, HTTPoison.Error.t()}
Issues an OPTIONS request to the given url.
Returns {:ok, response}
if the request is successful, {:error, reason}
otherwise.
See request/5
for more detailed information.
options!(url, headers \\ [], options \\ [])
View Source
options!(binary(), headers(), Keyword.t()) ::
HTTPoison.Response.t() | HTTPoison.AsyncResponse.t()
options!(binary(), headers(), Keyword.t()) :: HTTPoison.Response.t() | HTTPoison.AsyncResponse.t()
Issues a OPTIONS request to the given url, raising an exception in case of failure.
If the request does not fail, the response is returned.
See request!/5
for more detailed information.
patch(url, body, headers \\ [], options \\ [])
View Source
patch(binary(), any(), headers(), Keyword.t()) ::
{:ok, HTTPoison.Response.t() | HTTPoison.AsyncResponse.t()}
| {:error, HTTPoison.Error.t()}
patch(binary(), any(), headers(), Keyword.t()) :: {:ok, HTTPoison.Response.t() | HTTPoison.AsyncResponse.t()} | {:error, HTTPoison.Error.t()}
Issues a PATCH request to the given url.
Returns {:ok, response}
if the request is successful, {:error, reason}
otherwise.
See request/5
for more detailed information.
patch!(url, body, headers \\ [], options \\ [])
View Source
patch!(binary(), any(), headers(), Keyword.t()) ::
HTTPoison.Response.t() | HTTPoison.AsyncResponse.t()
patch!(binary(), any(), headers(), Keyword.t()) :: HTTPoison.Response.t() | HTTPoison.AsyncResponse.t()
Issues a PATCH request to the given url, raising an exception in case of failure.
If the request does not fail, the response is returned.
See request!/5
for more detailed information.
post(url, body, headers \\ [], options \\ [])
View Source
post(binary(), any(), headers(), Keyword.t()) ::
{:ok, HTTPoison.Response.t() | HTTPoison.AsyncResponse.t()}
| {:error, HTTPoison.Error.t()}
post(binary(), any(), headers(), Keyword.t()) :: {:ok, HTTPoison.Response.t() | HTTPoison.AsyncResponse.t()} | {:error, HTTPoison.Error.t()}
Issues a POST request to the given url.
Returns {:ok, response}
if the request is successful, {:error, reason}
otherwise.
See request/5
for more detailed information.
post!(url, body, headers \\ [], options \\ [])
View Source
post!(binary(), any(), headers(), Keyword.t()) ::
HTTPoison.Response.t() | HTTPoison.AsyncResponse.t()
post!(binary(), any(), headers(), Keyword.t()) :: HTTPoison.Response.t() | HTTPoison.AsyncResponse.t()
Issues a POST request to the given url, raising an exception in case of failure.
If the request does not fail, the response is returned.
See request!/5
for more detailed information.
process_headers(headers) View Source
Callback implementation for HTTPoison.Base.process_headers/1
.
process_request_body(body) View Source
Callback implementation for HTTPoison.Base.process_request_body/1
.
process_request_headers(headers) View Source
Callback implementation for HTTPoison.Base.process_request_headers/1
.
process_request_options(options) View Source
Callback implementation for HTTPoison.Base.process_request_options/1
.
process_request_params(params) View Source
Callback implementation for HTTPoison.Base.process_request_params/1
.
process_request_url(url) View Source
Callback implementation for HTTPoison.Base.process_request_url/1
.
process_response(response)
View Source
process_response(HTTPoison.Base.response()) :: any()
process_response(HTTPoison.Base.response()) :: any()
Callback implementation for HTTPoison.Base.process_response/1
.
process_response_body(body) View Source
Callback implementation for HTTPoison.Base.process_response_body/1
.
process_response_chunk(chunk) View Source
Callback implementation for HTTPoison.Base.process_response_chunk/1
.
process_response_headers(headers) View Source
Callback implementation for HTTPoison.Base.process_response_headers/1
.
process_response_status_code(status_code) View Source
Callback implementation for HTTPoison.Base.process_response_status_code/1
.
process_status_code(status_code) View Source
Callback implementation for HTTPoison.Base.process_status_code/1
.
process_url(url) View Source
Callback implementation for HTTPoison.Base.process_url/1
.
put(url, body \\ "", headers \\ [], options \\ [])
View Source
put(binary(), any(), headers(), Keyword.t()) ::
{:ok, HTTPoison.Response.t() | HTTPoison.AsyncResponse.t()}
| {:error, HTTPoison.Error.t()}
put(binary(), any(), headers(), Keyword.t()) :: {:ok, HTTPoison.Response.t() | HTTPoison.AsyncResponse.t()} | {:error, HTTPoison.Error.t()}
Issues a PUT request to the given url.
Returns {:ok, response}
if the request is successful, {:error, reason}
otherwise.
See request/5
for more detailed information.
put!(url, body \\ "", headers \\ [], options \\ [])
View Source
put!(binary(), any(), headers(), Keyword.t()) ::
HTTPoison.Response.t() | HTTPoison.AsyncResponse.t()
put!(binary(), any(), headers(), Keyword.t()) :: HTTPoison.Response.t() | HTTPoison.AsyncResponse.t()
Issues a PUT request to the given url, raising an exception in case of failure.
If the request does not fail, the response is returned.
See request!/5
for more detailed information.
request(request)
View Source
request(HTTPoison.Request.t()) ::
{:ok, HTTPoison.Response.t() | HTTPoison.AsyncResponse.t()}
| {:error, HTTPoison.Error.t()}
request(HTTPoison.Request.t()) :: {:ok, HTTPoison.Response.t() | HTTPoison.AsyncResponse.t()} | {:error, HTTPoison.Error.t()}
Issues an HTTP request using a Request
struct.
This function returns {:ok, response}
or {:ok, async_response}
if the
request is successful, {:error, reason}
otherwise.
Examples
request = %HTTPoison.Request{
method: :post,
url: "https://my.website.com",
body: "{\"foo\": 3}",
headers: [{"Accept", "application/json"}]
}
request(request)
request(method, url, body \\ "", headers \\ [], options \\ [])
View Source
request(atom(), binary(), any(), headers(), Keyword.t()) ::
{:ok, HTTPoison.Response.t() | HTTPoison.AsyncResponse.t()}
| {:error, HTTPoison.Error.t()}
request(atom(), binary(), any(), headers(), Keyword.t()) :: {:ok, HTTPoison.Response.t() | HTTPoison.AsyncResponse.t()} | {:error, HTTPoison.Error.t()}
Issues an HTTP request with the given method to the given url.
This function is usually used indirectly by get/3
, post/4
, put/4
, etc
Args:
method
- HTTP method as an atom (:get
,:head
,:post
,:put
,:delete
, etc.)url
- target url as a binary string or char listbody
- request body. See more belowheaders
- HTTP headers as an orddict (e.g.,[{"Accept", "application/json"}]
)options
- Keyword list of options
Body: see type HTTPoison.Request
Options: see type HTTPoison.Request
This function returns {:ok, response}
or {:ok, async_response}
if the
request is successful, {:error, reason}
otherwise.
Examples
request(:post, "https://my.website.com", "{\"foo\": 3}", [{"Accept", "application/json"}])
request!(method, url, body \\ "", headers \\ [], options \\ [])
View Source
request!(atom(), binary(), any(), headers(), Keyword.t()) ::
HTTPoison.Response.t() | HTTPoison.AsyncResponse.t()
request!(atom(), binary(), any(), headers(), Keyword.t()) :: HTTPoison.Response.t() | HTTPoison.AsyncResponse.t()
Issues an HTTP request with the given method to the given url, raising an exception in case of failure.
request!/5
works exactly like request/5
but it returns just the
response in case of a successful request, raising an exception in case the
request fails.
start() View Source
Starts HTTPoison and its dependencies.
stream_next(resp)
View Source
stream_next(HTTPoison.AsyncResponse.t()) ::
{:ok, HTTPoison.AsyncResponse.t()} | {:error, HTTPoison.Error.t()}
stream_next(HTTPoison.AsyncResponse.t()) :: {:ok, HTTPoison.AsyncResponse.t()} | {:error, HTTPoison.Error.t()}
Requests the next message to be streamed for a given HTTPoison.AsyncResponse
.
See request!/5
for more detailed information.


Honzi
/
Guides
/
EVE Online
/Oneiros
Fittings:
UNDOCK-TRACKING
Fittings
Code
Notes
Undock
[Oneiros, ONEIROS-UNDOCK-TRACKING] Sentient Damage Control Imperial Navy 1600mm Steel Plates Imperial Navy 800mm Steel Plates Centum A-Type Multispectrum Energized Membrane Corpum A-Type Multispectrum Energized Membrane Shadow Serpentis Remote Tracking Computer Shadow Serpentis Remote Tracking Computer Shadow Serpentis Remote Tracking Computer Shadow Serpentis Remote Tracking Computer Civilian Gatling Pulse Laser Black Eagle Drone Link Augmentor Small Tractor Beam II Dread Guristas Cloaking Device Medium Trimark Armor Pump II Medium Trimark Armor Pump II 'Dunk' Salvage Drone x5 Light Armor Maintenance Bot II x3 Light Hull Maintenance Bot II x2 Optimal Range Script x4 Tracking Speed Script x4


State
public enum State: String
An enum representing the state of current basket.
CompleteTransaction
: A state of basket when transaction is successfully completed.InitiatePayment
: A state of basket when app starts the payment.New
: A state of a new or already existing active basket.CompleteScan
: A state for basket when Point of Sale terminal finishes adding line items.ReadyForPayment
: A state of basket between PoS starts payment process and payment vault responds.CancelTransaction
: A state of basket when transaction is explicitly cancelled.UpdateBasket
: A state of basket when the basket is updated.AssociatePos
: A state of basket when transaction will be associated with pos.
-
A state of basket when transaction is successfully completed.
Declaration
Swift
case completeTransaction = "complete-transaction"
-
A state of a new or already existing active basket.
Declaration
Swift
case new = "new"
-
A state of basket when the basket is updated.
Declaration
Swift
case updateBasket = "update-basket"
-
A state of basket when app starts the payment.
Declaration
Swift
case initiatePayment = "initiate-payment"
-
A state for basket when Point of Sale terminal finishes adding line items.
Declaration
Swift
case completeScan = "complete-scan"
-
A state of basket when transaction will be associated with pos.
Declaration
Swift
case associatePos = "associate-pos"
-
A state of basket between PoS starts payment process and payment vault responds.
Declaration
Swift
case readyForPayment = "ready-for-payment"
-
A state of basket when transaction is explicitly case CompleteTransaction =
complete-transaction
Declaration
Swift
case cancelTransaction = "cancel-transaction"


https://pentestn00b.wordpress.com/2017/03/20/simple-bypass-for-powershell-constrained-language-mode/
http://www.leeholmes.com/blog/2017/03/17/detecting-and-preventing-powershell-downgrade-attacks/
Sometimes it's as easy as prepending: powershell.exe -version 2
PowerShell v2.0 has to be enabled in Windows Features so does .NET Framework 2.0, 3.0 and 3.5
an attacker or Red Teamer could enable it or install it. Prior to Windows 10, where it is available by default, they could just use it.


Some files result in issues when trying to show them in heiconf. The easiest solution is to use screen sharing for the presentation: Note for macOS: Screen sharing requires macOS' permission. You may be asked to grant permission and will then have to restart the browser and rejoin the meeting.


Andre Tyler Iguodala born January 28, 1984 is an American professional basketball player for the Golden State Warriors of the National Basketball Association (NBA). The swingman was an NBA All-Star in 2012 and has been named to the NBA All-Defensive Team twice. Iguodala won an NBA championship with the Warriors in 2015, when he was named the NBA Finals Most Valuable Player. Iguodala helped the Warriors return to the NBA Finals for a third straight year in 2017, winning his second NBA Championship. He was also a member of the United States national team at the 2010 FIBA World Championship and 2012 Summer Olympics, winning the gold medal both times.
Iguodala went to Lanphier High School in Springfield, Illinois, before attending the University of Arizona. After completing two years, he declared for the 2004 NBA draft, where he was drafted as the ninth overall pick by the Philadelphia 76ers. Iguodala played for Philadelphia until the summer of 2012, when he joined the Denver Nuggets in a four-team trade. He was acquired by Golden State in 2013. In 2014–15, he became a reserve for the first time in his career, but captured the Finals MVP after returning to the starting lineup in the middle of the finals series.


White House attempts to quell rumors about Trump’s health
by Yahoo News VideoThe White House has attempted to quell rumors about Donald Trump’s health after an unscheduled visit to a doctor over the weekend.
Trump has claimed his visit to the Walter Reed medical center on Saturday was “phase one” of his yearly physical, despite him having no public events on his schedule for that day and his last physical being only nine months ago.


These are the officail sdks supported by ticktok, and we're always striving to support more languages/frameworks
| Language/Framework | Url |
|---|---|
| Java | https://github.com/ticktok-io/ticktok-java-client |
| Clojure | https://github.com/ticktok-io/ticktok-clojure-client |
| Javascript | https://github.com/ticktok-io/ticktok.js |
| Python | https://github.com/ticktok-io/ticktok-python |


Notification demo (custom configuration)
Types of notifications
Primary Notification (default position)
Error Notification (default position)
Success Notification (bottom right position)
Information Notification (top left position)
Warning Notification (top right position)


Run a Graph API (using syntax from the official facebook module) or FQL query.
Graph API Example: get_connections("me", "friends")
FQL Example: select uid1, uid2 from friend where uid1 = 1 and uid2 = 2
Results for {{ q }}
{{ results }}
Your access token is {{ access_token }}
(Login again when it expires)


A general perturbation is given by Eq. (31), which is composed of infinit single frequency perturbation of the form . It is obvious that a general perturbation can also be considered to be composed of single frequency perturbation of the form
| (44) |
| (46) |
If satisfies the eigenmode equations (35)-(37), then it is ready to verify that is also a solution to the equations. Since of Eq. (43), is also a slution to the equations. Therefore , i.e., , is a solution to the linear equations (28), (29), and (30). This tell us how to construct a real (physical) eigenmode from the complex funtion , i.e., the real part of is a physical eigenmode. Note that it is the real part of , instead of the real part of , that is a physical eigenmode.
Note that is a real number by the definition of Fourier transformation. However, strictly speaking, the above Fourier transformation should be replaced by Laplace transformation. In this case, is a complex number. In the following, we will assume that we are using Laplace transformation, instead of Fourier transformation. In the following section, we will prove that the eigenvalue of the ideal MHD system must be a real number.
yj 2015-09-04


| Shooter Velocity:
|
current setpoint: min value on graph: max value on graph: target velocity: |
|
Shooter motor output:
|
Shooter PID Values: |
|
Intake velocity:
|
Intake Motor PID
P: I: D: FF: |
color sensor value:
current color{ R: G: B: }
proximity
intake temperature:


Ezekiel 48:3
And by the border of Asher, from the east side even unto the west side, a portion for Naphtali.


The "this" in vanilla javascript on browser environment is just an alias for the window
variable.
Assuming this page already have this javascript code lodaded:
var myTest = 'This is a context test';
Because of hoisting (recently learned) the var
is hoisted to the global space.
In other words, the variable myTest will be available on both places: this.myTest
and window.myTest
.
Go ahead and test it on your console!


WITNESS LIST International Relations, Trade & Technology Committee March 19, 1997-1:00P SB 771 Registering, but not testifying: For: Batiste, John Paul (TX. Comm. on the Arts), Austin Hernandez, Ricardo (TX. Comm. on the Arts), Austin Rodriguez, Marc (City of San Antonio), San Antonio Snell, Fred (TX. Comm. on the Arts), Austin SB 811 On: Wilson, Margaret (Camino Real DEC), Austin Registering, but not testifying: On: Abdeladim, Rita (Dept. of Info Resources), Austin Bard, William (University of TX System), Austin SB 814 Registering, but not testifying: For: Parker, Stephen (General Services Comm.), Austin Wilson, Margaret (Camino Real DEC), Austin On: Abdeladim, Rita (Dept. of Info Resources), Austin Cisneros, Jeannie (TX Dept. of Commerce), Austin Wattles, Dan (TX Dept. of Commerce), Austin


Select the reference documentation package.
Select the Wisdom Maven Plugin site package.
Select the JavaDoc package.
Here is the list of the deployed packages


These are example pages for the
jp_doodle
package.
Please see the Jupyter notebooks in the package for additional
discussion and documentation.
Please use
Binder
to easily run the Jupyter notebooks of the package.
Animation
Dual canvases can be animated. This figure includes a clock with an animated
seconds hand and a blinking light.
Code
Discussion
Objects drawn on a dual canvas can be modified or deleted if they have been given a unique name.
The illustration above modifies the object named "seconds hand" to animate the clock hand and
it deletes and recreates the object named "blinking dot" periodically.


?New
York
Botanical
Garden
lt2400b
BOTANICAL
s^QARDe^
FLORA
OF
SAINT
LUCIA
Cassipourea
elliptica
(Sw.)
Poiret
Barre
de
l'Isle
trail
to
Mt.
LaComb.
Juvenile
leaves,
serrate,
shiny.
R.
A.
Howard,
E.
A.
Kellogg,
V.
Slane,
P.
F.
Stevens
&
L.
Jean-Pierre
198(57
__24
January
1985
ARNOLD
ARBORETUM
(A)
OF
HARVARD
UNIVERSITY
ft
7
n
o
in
ViLi
<
11
\
The
New
York
copyright
reserved
botanical
Garden
1624006
Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


This tutorial will guide you in the process to create a batch processing solution.
What you will build
You will build a service that imports a CSV spreadsheet, transform it in a Java object and stores in a SQL database.
Pre-req
- JDK 1.8
- Text editor or your favorite IDE
- Maven 3.0+
Processing data
For this tutorial I’m using the following spreadsheet:
src/main/resources/sample-data.csv
Optimus Prime,Freightliner FL86 COE Semi-trailer Truck
Sentinel Prime,Cybertronian Fire Truck
Bluestreak,Nissan 280ZX Turbo
Hound,Mitsubishi J59 Military Jeep
Ironhide,Nissan Vanette
Jazz,Martini Racing Porsche 935
Mirage,Ligier JS11 Racer
Prowl,Nissan 280ZX Police Car
Ratchet,Nissan C2 First Response
Sideswipe,Lamborghini Countach LP500-2
Sunstreaker,Supercharged Lamborghini Countach LP500S
Wheeljack,Lancia Stratos Turbo
Hoist,Toyota Hilux Tow Truck
Smokescreen,Nissan S130
Tracks,Chevrolet Corvette C3
Blurr,Cybertronian Hovercar
Hot Rod,Cybertronian Race Car
Kup,Cybertronian Pickup Truck
This spreadsheet contains the name of a Autobot and the car that it transforms itself, comma delimited. This is a very common pattern that Spring Framework handles.
The next step you’ll write a SQL script with the schema definition to store the data.
src/main/resources/schema-all.sql
DROP TABLE autobot IF EXISTS;
CREATE TABLE autobot (
autobot_id BIGINT IDENTITY NOT NULL PRIMARY KEY,
name VARCHAR(50),
car VARCHAR(50)
);
Spring Boot automatically executes schema-@@platform@@.sql
during its initialization. -all
is the pattern for all the
platforms.
Creating your business class
Now that we now the input and output format we will write a class that represents each data line.
src/main/java/com/marcosbarbero/wd/batch/Autobot
public class Autobot {
private String name;
private String car;
public Autobot() {
}
public Autobot(String name, String car) {
this.name = name;
this.car = car;
}
public String getName() {
return name;
}
public void setName(String name) {
this.name = name;
}
public String getCar() {
return car;
}
public void setCar(String car) {
this.car = car;
}
}
You can instantiate the class Autobot
using the constructor adding name
and the car
, otherwise using the setters.
Creating a processor
A common paradigm in batch processing is data ingest, transform, and then store it somewhere. Here you will write a simple transformer that converts the data to uppercase.
src/main/java/com/marcosbarbero/wd/batch/AutobotItemProcessor
package com.marcosbarbero.wd.batch;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.batch.item.ItemProcessor;
public class AutobotItemProcessor implements ItemProcessor<Autobot, Autobot> {
private static final Logger log = LoggerFactory.getLogger(AutobotItemProcessor.class);
@Override
public Autobot process(Autobot autobot) throws Exception {
final String firstName = autobot.getName().toUpperCase();
final String lastName = autobot.getCar().toUpperCase();
final Autobot transformed = new Autobot(firstName, lastName);
log.info("Converting (" + autobot + ") into (" + transformed + ")");
return transformed;
}
}
AutobotItemProcessor
implements interface ItemProcessor
from Spring Batch. It makes easier to link the code to a batch process that we will define further in this tutorial. According to the interface, you receive an incoming Autobot
object, after which you transform it to an upper-cased Autobot
.
There is no requirement that the input and output types be the same. In fact, after one source of data is read, sometimes the application’s data flow needs a different data type.
Criando o processamento batch
Spring Batch provides many utility classes that reduce the need to write custom code. Instead, you can focus on the business logic.
src/main/java/com/marcosbarbero/wd/batch/BatchConfiguration
package com.marcosbarbero.wd.batch;
import org.springframework.batch.core.Job;
import org.springframework.batch.core.Step;
import org.springframework.batch.core.configuration.annotation.EnableBatchProcessing;
import org.springframework.batch.core.configuration.annotation.JobBuilderFactory;
import org.springframework.batch.core.configuration.annotation.StepBuilderFactory;
import org.springframework.batch.core.launch.support.RunIdIncrementer;
import org.springframework.batch.item.database.BeanPropertyItemSqlParameterSourceProvider;
import org.springframework.batch.item.database.JdbcBatchItemWriter;
import org.springframework.batch.item.file.FlatFileItemReader;
import org.springframework.batch.item.file.mapping.BeanWrapperFieldSetMapper;
import org.springframework.batch.item.file.mapping.DefaultLineMapper;
import org.springframework.batch.item.file.transform.DelimitedLineTokenizer;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.core.io.ClassPathResource;
import javax.sql.DataSource;
@Configuration
@EnableBatchProcessing
public class BatchConfiguration {
private final JobBuilderFactory jobBuilderFactory;
private final StepBuilderFactory stepBuilderFactory;
private final DataSource dataSource;
public BatchConfiguration(JobBuilderFactory jobBuilderFactory,
StepBuilderFactory stepBuilderFactory,
DataSource dataSource) {
this.jobBuilderFactory = jobBuilderFactory;
this.stepBuilderFactory = stepBuilderFactory;
this.dataSource = dataSource;
}
// tag::readerwriterprocessor[]
@Bean
public FlatFileItemReader<Autobot> reader() {
FlatFileItemReader<Autobot> reader = new FlatFileItemReader<>();
reader.setResource(new ClassPathResource("sample-data.csv"));
reader.setLineMapper(new DefaultLineMapper<Autobot>() {
{
setLineTokenizer(new DelimitedLineTokenizer() {
{ setNames(new String[]{"name", "car"}); }
});
setFieldSetMapper(new BeanWrapperFieldSetMapper<Autobot>() {
{ setTargetType(Autobot.class); }
});
}
});
return reader;
}
@Bean
public AutobotItemProcessor processor() {
return new AutobotItemProcessor();
}
@Bean
public JdbcBatchItemWriter<Autobot> writer() {
JdbcBatchItemWriter<Autobot> writer = new JdbcBatchItemWriter<>();
writer.setItemSqlParameterSourceProvider(new BeanPropertyItemSqlParameterSourceProvider<>());
writer.setSql("INSERT INTO autobot (name, car) VALUES (:name, :car)");
writer.setDataSource(this.dataSource);
return writer;
}
// end::readerwriterprocessor[]
// tag::jobstep[]
@Bean
public Job importAutobotJob(JobCompletionNotificationListener listener) {
return jobBuilderFactory.get("importAutobotJob")
.incrementer(new RunIdIncrementer())
.listener(listener)
.flow(step1())
.end()
.build();
}
@Bean
public Step step1() {
return stepBuilderFactory.get("step1")
.<Autobot, Autobot>chunk(10)
.reader(reader())
.processor(processor())
.writer(writer())
.build();
}
// end::jobstep[]
}
The @EnableBatchProcessing annotation adds many critical beans that support jobs and saves you a lot of leg work. This example uses a memory-based database (provided by @EnableBatchProcessing), meaning that when it’s done, the data is gone.
Step by step:
src/main/java/com/marcosbarbero/wd/batch/BatchConfiguration
@Bean
public FlatFileItemReader<Autobot> reader() {
FlatFileItemReader<Autobot> reader = new FlatFileItemReader<>();
reader.setResource(new ClassPathResource("sample-data.csv"));
reader.setLineMapper(new DefaultLineMapper<Autobot>() {
{
setLineTokenizer(new DelimitedLineTokenizer() {
{
setNames(new String[]{"name", "car"});
}
});
setFieldSetMapper(new BeanWrapperFieldSetMapper<Autobot>() {
{
setTargetType(Autobot.class);
}
});
}
});
return reader;
}
@Bean
public AutobotItemProcessor processor() {
return new AutobotItemProcessor();
}
@Bean
public JdbcBatchItemWriter<Autobot> writer() {
JdbcBatchItemWriter<Autobot> writer = new JdbcBatchItemWriter<>();
writer.setItemSqlParameterSourceProvider(new BeanPropertyItemSqlParameterSourceProvider<>());
writer.setSql("INSERT INTO autobot (name, car) VALUES (:name, :car)");
writer.setDataSource(this.dataSource);
return writer;
}
The first chunk of code defines the input, processor, and output. - reader()
creates an ItemReader
. It looks for a file called sample-data.csv
and parses each line item with enough information to turn it into a Autobot
- processor()
creates an instance of ourAutobotItemProcessor
that was defined earlier, meant to uppercase the data. - write(DataSource)
creates
an ItemWriter
.
The next chunk focuses on the actual job configuration.
src/main/java/com/marcosbarbero/wd/batch/BatchConfiguration
@Bean
public Job importAutobotJob(JobCompletionNotificationListener listener) {
return jobBuilderFactory.get("importAutobotJob")
.incrementer(new RunIdIncrementer())
.listener(listener)
.flow(step1())
.end()
.build();
}
@Bean
public Step step1() {
return stepBuilderFactory.get("step1")
.<Autobot, Autobot>chunk(10)
.reader(reader())
.processor(processor())
.writer(writer())
.build();
}
The first method defines the job and the second one defines a single step. Jobs are built from steps, where each step can involve a reader
, a processor
, and a writer
.
In this job definition, you need an incrementer
because jobs use a database to maintain execution state. You then list each step, of which this job has only one step. The job ends, and the Java API produces a perfectly configured job.
In the step definition, you define how much data to write at a time. In this case, it writes up to ten records at a time. Next, you configure the reader
, processor
, and writer
using the injected bits from earlier.
chunk()
is prefixed <Autobot, Autobot> because its a generic method. This represents the input and output types for each “chunk” of processing, and lines up with ItemReader<Autobot>
and ItemWriter<Autobot>
.
src/main/java/com/marcosbarbero/wd/batch/JobCompletionNotificationListener
package com.marcosbarbero.wd.batch;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.batch.core.BatchStatus;
import org.springframework.batch.core.JobExecution;
import org.springframework.batch.core.listener.JobExecutionListenerSupport;
import org.springframework.jdbc.core.JdbcTemplate;
import org.springframework.stereotype.Component;
import java.util.List;
@Component
public class JobCompletionNotificationListener extends JobExecutionListenerSupport {
private static final Logger log = LoggerFactory.getLogger(JobCompletionNotificationListener.class);
private final JdbcTemplate jdbcTemplate;
public JobCompletionNotificationListener(JdbcTemplate jdbcTemplate) {
this.jdbcTemplate = jdbcTemplate;
}
@Override
public void afterJob(JobExecution jobExecution) {
if (jobExecution.getStatus() == BatchStatus.COMPLETED) {
log.info("!!! JOB FINISHED! Time to verify the results");
List<Autobot> results = this.jdbcTemplate.query("SELECT name, car FROM autobot",
(rs, row) -> new Autobot(rs.getString(1), rs.getString(2)));
for (Autobot autobot : results) {
log.info("Found <" + autobot.toString() + "> in the database.");
}
}
}
}
This code listens for when the job has its status as BatchStatus.COMPLETED
, and then uses JdbcTemplate
to verify the results.
Running
This project was built using Spring Boot, to run it just execute the following commands:
Build
$ ./mvnw clean package
Run
$ java -jar target/batch-service-0.0.1-SNAPSHOT.jar
The process prints one line for each autobot that was tranformed.
Converting (Autobot{name='Optimus Prime', car='Freightliner FL86 COE Semi-trailer Truck'}) into (Autobot{name='OPTIMUS PRIME', car='FREIGHTLINER FL86 COE SEMI-TRAILER TRUCK'})
Converting (Autobot{name='Sentinel Prime', car='Cybertronian Fire Truck'}) into (Autobot{name='SENTINEL PRIME', car='CYBERTRONIAN FIRE TRUCK'})
Converting (Autobot{name='Bluestreak', car='Nissan 280ZX Turbo'}) into (Autobot{name='BLUESTREAK', car='NISSAN 280ZX TURBO'})
Converting (Autobot{name='Hound', car='Mitsubishi J59 Military Jeep'}) into (Autobot{name='HOUND', car='MITSUBISHI J59 MILITARY JEEP'})
Converting (Autobot{name='Ironhide', car='Nissan Vanette'}) into (Autobot{name='IRONHIDE', car='NISSAN VANETTE'})
Converting (Autobot{name='Jazz', car='Martini Racing Porsche 935'}) into (Autobot{name='JAZZ', car='MARTINI RACING PORSCHE 935'})
Converting (Autobot{name='Wheeljack', car='Lancia Stratos Turbo'}) into (Autobot{name='WHEELJACK', car='LANCIA STRATOS TURBO'})
Converting (Autobot{name='Hoist', car='Toyota Hilux Tow Truck'}) into (Autobot{name='HOIST', car='TOYOTA HILUX TOW TRUCK'})
Found <Autobot{name='OPTIMUS PRIME', car='FREIGHTLINER FL86 COE SEMI-TRAILER TRUCK'}> in the database.
Found <Autobot{name='SENTINEL PRIME', car='CYBERTRONIAN FIRE TRUCK'}> in the database.
Found <Autobot{name='BLUESTREAK', car='NISSAN 280ZX TURBO'}> in the database.
Found <Autobot{name='HOUND', car='MITSUBISHI J59 MILITARY JEEP'}> in the database.
Found <Autobot{name='IRONHIDE', car='NISSAN VANETTE'}> in the database.
Found <Autobot{name='JAZZ', car='MARTINI RACING PORSCHE 935'}> in the database.
Found <Autobot{name='MIRAGE', car='LIGIER JS11 RACER'}> in the database.
Found <Autobot{name='PROWL', car='NISSAN 280ZX POLICE CAR'}> in the database.
The data above is just a snapshot from the real result just to facilitate the read.
Summary
Congratulations! You just created a batch process that read
, transform
and write
the data in a database.
Footnote
- This tutorial was created based in the following link: Creating a Batch Service
- The code used for this tutorial can be found on github


SWAMI VIVEKANANDA was one of the most famous and influential leaders of the Vedanta philosophy. He was the chief disciple of Rmakrishna Paramhansa and was the founder of the Ramakrishna Math and Ramkrishna Mission. Many consider him an Icon for his fearless courage, his possitive exhortation to the youth, his broad outlook on social problems and countless lectures and discourses on vedanta philosophy.
The book written by him are very influential and still seen as fundamental texts for any intersted in the Hindu practice of yoga. His letters are of great literary and spiritual value. He was also very good singer and a poet. He had composed many songs including godess, kali the Mother. He used humour for his teachings.His language is very free flowing. His own bengali writings stand stand testimony to the fact that he believed that words- spoken or written should be for making things easier to understand rather than shoe off the speaker or writer's knowledge.
IN fitting irony , swamiji died or went in ultimate meditation (SAMADHI)on July 4, 1902 at the age of 39.Swamiji preached strenght, freedom, manliness and that every soul is divine , he touched the hearts and minds, and changed the lives of many thousands of men and women around the world.


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--- layout: docpage title: "Documentation" is_homepage: false is_sphinx_doc: true doc-parent: "Contributing to Cassandra" doc-title: "Jenkins CI Environment" doc-header-links: ' ' doc-search-path: "../search.html" extra-footer: ' ' ---
Cassandra can be automatically tested using various test suites, that are either implemented based on JUnit or the dtest scripts written in Python. As outlined in Testing, each kind of test suite addresses a different way how to test Cassandra. But in the end, all of them will be executed together on our CI platform at builds.apache.org, running Jenkins.
Jenkins is an open source solution that can be installed on a large number of platforms. Setting up a custom Jenkins instance for Cassandra may be desirable for users who have hardware to spare, or organizations that want to run Cassandra tests for custom patches before contribution.
Please refer to the Jenkins download and documentation pages for details on how to get Jenkins running, possibly also including slave build executor instances. The rest of the document will focus on how to setup Cassandra jobs in your Jenkins environment.
The following plugins need to be installed additionally to the standard plugins (git, ant, ..).
You can install any missing plugins through the install manager.
Go to Manage Jenkins -> Manage Plugins -> Available
and install the following plugins and respective dependencies:
Builds that are not containerized (e.g. cqlshlib tests and in-jvm dtests) use local resources for Cassandra (ccm). To prevent these builds running concurrently the Cassandra
throttle category needs to be created.
This is done under Manage Jenkins -> System Configuration -> Throttle Concurrent Builds
. Enter “Cassandra” for the Category Name
and “1” for Maximum Concurrent Builds Per Node
.
Config New Item
Cassandra-Job-DSL
Freestyle project
Under Source Code Management
select Git using the repository: https://github.com/apache/cassandra-builds
Under Build
, confirm Add build step
-> Process Job DSLs
and enter at Look on Filesystem
: jenkins-dsl/cassandra_job_dsl_seed.groovy
Generated jobs will be created based on the Groovy script’s default settings. You may want to override settings by checking This project is parameterized
and add String Parameter
for on the variables that can be found in the top of the script. This will allow you to setup jobs for your own repository and branches (e.g. working branches).
When done, confirm “Save”
You should now find a new entry with the given name in your project list. However, building the project will still fail and abort with an error message “Processing DSL script cassandra_job_dsl_seed.groovy ERROR: script not yet approved for use”. Goto Manage Jenkins
-> In-process Script Approval
to fix this issue. Afterwards you should be able to run the script and have it generate numerous new jobs based on the found branches and configured templates.
Jobs are triggered by either changes in Git or are scheduled to execute periodically, e.g. on daily basis. Jenkins will use any available executor with the label “cassandra”, once the job is to be run. Please make sure to make any executors available by selecting Build Executor Status
-> Configure
-> Add “cassandra
” as label and save.
Executors need to have “JDK 1.8 (latest)” installed. This is done under Manage Jenkins -> Global Tool Configuration -> JDK Installations…
. Executors also need to have the virtualenv package installed on their system.


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cups-lpd
Section: Apple Inc. (8)Updated: CUPS
Index Return to Main Contents
NAME
cups-lpd - receive print jobs and report printer status to lpd clientsSYNOPSIS
cups-lpd [ -h hostname[:port] ] [ -n ] [ -o option=value ]DESCRIPTION
cups-lpd is the CUPS Line Printer Daemon ("LPD") mini-server that supports legacy client systems that use the LPD protocol. cups-lpd does not act as a standalone network daemon but instead operates using the Internet "super-server" inetd(8) or xinetd(8). If you are using inetd, add the following line to the inetd.conf file to enable the cups-lpd mini-server:printer stream tcp nowait lp /usr/lib/cups/daemon/cups-lpd cups-lpd \ -o document-format=application/octet-stream
Note: If you are using Solaris 10 or higher, you must run the inetdconv(1m) program to register the changes to the inetd.conf file.
If you are using the newer xinetd(8) daemon, create a file
named /etc/xinetd.d/cups containing the following lines:
service printer { socket_type = stream protocol = tcp wait = no user = lp group = sys passenv = server = /usr/lib/cups/daemon/cups-lpd server_args = -o document-format=application/octet-stream }
OPTIONS
- -h hostname[:port]
-
Sets the CUPS server (and port) to use. - -n
-
Disables reverse address lookups; normally cups-lpd will try to discover the hostname of the client via a reverse DNS lookup. - -o name=value
-
Inserts options for all print queues. Most often this is used to disable the "l" filter so that remote print jobs are filtered as needed for printing; the examples in the previous section set the "document-format" option to "application/octet-stream" which forces autodetection of the print file format.
PERFORMANCE
cups-lpd performs well with small numbers of clients and printers. However, since a new process is created for each connection and since each process must query the printing system before each job submission, it does not scale to larger configurations. We highly recommend that large configurations use the native IPP support provided by CUPS instead.SECURITY
cups-lpd currently does not perform any access control based on the settings in cupsd.conf(5) or in the hosts.allow(5) or hosts.deny(5) files used by TCP wrappers. Therefore, running cups-lpd on your server will allow any computer on your network (and perhaps the entire Internet) to print to your server.While xinetd has built-in access control support, you should use the TCP wrappers package with inetd to limit access to only those computers that should be able to print through your server.
cups-lpd is not enabled by the standard CUPS distribution. Please consult with your operating system vendor to determine whether it is enabled on your system.
COMPATIBILITY
cups-lpd does not enforce the restricted source port number specified in RFC 1179, as using restricted ports does not prevent users from submitting print jobs. While this behavior is different than standard Berkeley LPD implementations, it should not affect normal client operations.The output of the status requests follows RFC 2569, Mapping between LPD and IPP Protocols. Since many LPD implementations stray from this definition, remote status reporting to LPD clients may be unreliable.
SEE ALSO
cups(1), cupsd(8), inetconv(1m), inetd(8), xinetd(8),http://localhost:631/help
COPYRIGHT
Copyright 2007-2009 by Apple Inc.
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This document was created by man2html, using the manual pages.
Time: 05:34:25 GMT, December 24, 2015


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