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public interface TabularData
The TabularData interface specifies the behavior of a specific type of complex open data objects which represent tabular data structures.
| Method Summary | |
|---|---|
Object[] |
calculateIndex(CompositeData value)
Calculates the index that would be used in this TabularData instance to refer to the specified composite data value parameter if it were added to this instance. |
void |
clear()
Removes all CompositeData values (ie rows) from this TabularData instance. |
boolean |
containsKey(Object[] key)
Returns true if and only if this TabularData instance contains a CompositeData value (ie a row) whose index is the specified key. |
boolean |
containsValue(CompositeData value)
Returns true if and only if this TabularData instance contains the specified CompositeData value. |
boolean |
equals(Object obj)
Compares the specified obj parameter with this TabularData instance for equality. |
CompositeData |
get(Object[] key)
Returns the CompositeData value whose index is key, or null if there is no value mapping to key, in this TabularData instance. |
TabularType |
getTabularType()
Returns the tabular type describing this TabularData instance. |
int |
hashCode()
Returns the hash code value for this TabularData instance. |
boolean |
isEmpty()
Returns true if the number of CompositeData values (ie the number of rows) contained in this TabularData instance is zero. |
Set |
keySet()
Returns a set view of the keys (ie the index values) of the CompositeData values (ie the rows) contained in this TabularData instance. |
void |
put(CompositeData value)
Adds value to this TabularData instance. |
void |
putAll(CompositeData[] values)
Add all the elements in values to this TabularData instance. |
CompositeData |
remove(Object[] key)
Removes the CompositeData value whose index is key from this TabularData instance, and returns the removed value, or returns null if there is no value whose index is key. |
int |
size()
Returns the number of CompositeData values (ie the number of rows) contained in this TabularData instance. |
String |
toString()
Returns a string representation of this TabularData instance. |
Collection |
values()
Returns a collection view of the CompositeData values (ie the rows) contained in this TabularData instance. |
| Method Detail |
|---|
TabularType getTabularType()
Object[] calculateIndex(CompositeData value)
value
- the composite data value whose index in this
TabularData instance is to be calculated;
must be of the same composite type as this instance's row type;
must not be null.
NullPointerException
- if value is null
InvalidOpenTypeException
- if value does not conform to this TabularData instance's
row type definition.int size()
boolean isEmpty()
boolean containsKey(Object[] key)
key
- the index value whose presence in this TabularData instance is to be tested.
boolean containsValue(CompositeData value)
value
- the row value whose presence in this TabularData instance is to be tested.
CompositeData get(Object[] key)
key
- the key of the row to return.
NullPointerException
- if the key is
null
InvalidKeyException
- if the key does not
conform to this TabularData instance's *
TabularType definitionvoid put(CompositeData value)
getRowType()
), and there must not already be an existing
value in this TabularData instance whose index is the
same as the one calculated for the value to be
added. The index for value is calculated according
to this TabularData instance's TabularType
definition (see TabularType.getIndexNames()
).
value
- the composite data value to be added as a new row to this TabularData instance;
must be of the same composite type as this instance's row type;
must not be null.
NullPointerException
- if value is null
InvalidOpenTypeException
- if value does not conform to this TabularData instance's
row type definition.
KeyAlreadyExistsException
- if the index for value, calculated according to
this TabularData instance's TabularType definition
already maps to an existing value in the underlying HashMap.CompositeData remove(Object[] key)
key
- the index of the value to get in this TabularData instance;
must be valid with this TabularData instance's row type definition;
must not be null.
NullPointerException
- if the key is null
InvalidKeyException
- if the key does not conform to this TabularData instance's
TabularType definitionvoid putAll(CompositeData[] values)
put
,
or if any two elements in values have the same index calculated according to this TabularData
instance's TabularType definition, then an exception describing the failure is thrown
and no element of values is added, thus leaving this TabularData instance unchanged.
values
- the array of composite data values to be added as new rows to this TabularData instance;
if values is null or empty, this method returns without doing anything.
NullPointerException
- if an element of values is null
InvalidOpenTypeException
- if an element of values does not conform to
this TabularData instance's row type definition
KeyAlreadyExistsException
- if the index for an element of values, calculated according to
this TabularData instance's TabularType definition
already maps to an existing value in this instance,
or two elements of values have the same index.void clear()
Set keySet()
Collection values()
boolean equals(Object obj)
TabularData
instance for equality.
Returns true if and only if all of the following statements are true:
TabularData
interface,TabularData
interface.
equals
in class Object
obj
- the object to be compared for equality with this TabularData
instance;
true
if the specified object is equal to this TabularData
instance.Object.hashCode()
,
Hashtable
int hashCode()
TabularData
instance.
The hash code of a TabularData
instance is the sum of the hash codes
of all elements of information used in equals
comparisons
(ie: its tabular type and its content, where the content is defined as all the index to value mappings).
This ensures that t1.equals(t2)
implies that t1.hashCode()==t2.hashCode()
for any two TabularDataSupport
instances t1
and t2
,
as required by the general contract of the method
Object.hashCode()
.
hashCode
in class Object
TabularDataSupport
instanceObject.equals(java.lang.Object)
,
Hashtable
String toString()
TabularData
instance.
The string representation consists of the name of the implementing class, and the tabular type of this instance.
toString
in class Object
TabularData
instance
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BIOLOGICAL PAINTINGS Marsha’s studio practise focuses on the relationship between humanity and nature. It looks into the deeper emotional and metaphysical aspects of this exchange. In these paintings, Marsha uses imagery from the science lab causing her viewer to ponder the scope of shapes. ‘Are these organic cells, planetary clusters, genetic configurations or interstellar dynamics?’ The wide variety of luster does not lead the observer into the spiritual realm of religion as much as the spiritual world of science. Thus, these paintings may appear to have been taken through a microscope – nature scrutinized at the micro level; or is it at the macro level, through a telescope.
Unnumbered Germs are Seen Swelling-2007
Simply Slumbered The Force In The Seed-2007
The Altar Is Raised-2007
Awards And Shows Main Page Marsha's Bird Art and misc. art


Your go-to dog waste removal service
Most definitely NOT! Dog waste carries bacteria and parasites that can be harmful to humans and other animals.
Dog waste can take over a year to degrade completely. The poop may no longer be visible, but eggs from parasites can linger for years in the soil.
You will be billed a month ahead of service. Check or cash.
Yes, I will give $5 off to every new customer that you refer.
Yes, there will be a one time clean up charge. Please refer to service page.
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3.2.6
Initialize a new Alias
facade with a dictionary
of arguments.
Extends Facade
(Object)
The object to wrap.
| Name | Description |
|---|---|
dictionary.from string?
|
The previous ID of the user. |
dictionary.to string?
|
The new ID of the user. |
(Object)
Options about what kind of Facade to create.
An alias for Alias#action.
string
:
An alias for Alias#previousId.
string
:
An alias for Alias#userId.
string
:
Initialize a new Delete
facade with a dictionary
of arguments.
Extends Facade
(Object)
The object to wrap.
| Name | Description |
|---|---|
dictionary.category string?
|
The delete category. |
dictionary.name string?
|
The delete name. |
dictionary.properties string?
|
The delete properties. |
(Object)
Options about what kind of Facade to create.
A Facade is an object meant for creating convience wrappers around objects. When developing integrations, you probably want to look at its subclasses, such as Track or Identify, rather than this general-purpose class.
This letructor will initialize a new Facade
with an obj
of arguments.
If the inputted obj
doesn't have a timestamp
property, one will be added
with the value new Date()
. Otherwise, the timestamp
property will be
converted to a Date using the new-date
package.
By default, the inputted object will be defensively copied, and all ISO strings present in the string will be converted into Dates.
(Object)
The object to wrap.
(Object)
Options about what kind of Facade to create.
| Name | Description |
|---|---|
opts.clone boolean
(default true )
|
Whether to make defensive clones. If enabled, the inputted object will be cloned, and any objects derived from this facade will be cloned before being returned. |
opts.traverse boolean
(default true )
|
Whether to perform ISODate-Traverse on the inputted object. |
Create a helper function for fetching a "plural" thing.
The generated method will take the inputted path
and append an "s" to it
and calls this.proxy
with this "pluralized" path. If that produces an
array, that will be returned. Otherwise, a one-element array containing
this.proxy(path)
will be returned.
(string)
Function
:
MyClass.prototype.birds = Facade.multi('animals.bird');
Create a helper function for getting a "singular" thing.
The generated method will take the inputted path and call
this.proxy(path)
. If a truthy thing is produced, it will be returned.
Otherwise, this.proxy(path + 's')
will be called, and if that produces an
array the first element of that array will be returned. Otherwise,
undefined
is returned.
(string)
Function
:
MyClass.prototype.bird = Facade.one('animals.bird');
Get a potentially-nested field in this facade. field
should be a
period-separated sequence of properties.
If the first field passed in points to a function (e.g. the field
passed
in is a.b.c
and this facade's obj.a
is a function), then that function
will be called, and then the deeper fields will be fetched (using obj-case)
from what that function returns. If the first field isn't a function, then
this function works just like obj-case.
Because this function uses obj-case, the camel- or snake-case of the input is irrelevant.
any
:
A property of the inputted object.
YourClass.prototype.height = function() {
return this.proxy('getDimensions.height') ||
this.proxy('props.size.side_length');
}
Directly access a specific field
from the underlying object. Only
"top-level" fields will work with this function. "Nested" fields will not
work with this function.
(string)
any
:
Gets the underlying object this facade wraps around.
If this facade has a property type
, it will be invoked as a function and
will be assigned as the property type
of the outputted object.
Object
:
Get the options of a call. If an integration is passed, only the options for
that integration are included. If the integration is not enabled, then
undefined
is returned.
Options are taken from the options
property of the underlying object,
falling back to the object's context
or simply {}
.
(string)
The name of the integration to get settings
for. Casing does not matter.
(Object | undefined)
:
An alias for Facade#options.
Check whether an integration is enabled.
Basically, this method checks whether this integration is explicitly enabled. If it isn'texplicitly mentioned, it checks whether it has been enabled at the global level. Some integrations (e.g. Salesforce), cannot enabled by these global event settings.
More concretely, the deciding factors here are:
this.integrations()
has the integration set to true
, return true
.this.integrations().providers
has the integration set to true
, return true
.options.providers.all
, options.all
, or integrations.all
), then return
false.(string)
boolean
:
Check whether the user is active.
boolean
:
Get sessionId / anonymousId
.
any
:
An alias for Facade#anonymousId.
string
:
Get groupId
from context.groupId
.
string
:
Get the call's "traits". All event types can pass in traits, though Identify and Group override this implementation.
Traits are gotten from options.traits
, augmented with a property id
with
the event's userId
.
The parameter aliases
is meant to transform keys in options.traits
into
new keys. Each alias like { "xxx": "yyy" }
will take whatever is at xxx
in the traits, and move it to yyy
. If xxx
is a method of this facade,
it'll be called as a function instead of treated as a key into the traits.
(Object)
A mapping from keys to the new keys they should be
transformed to.
Object
:
let obj = { options: { traits: { foo: "bar" } }, anonymousId: "xxx" }
let facade = new Facade(obj)
facade.traits() // { "foo": "bar" }
facade.traits({ "foo": "asdf" }) // { "asdf": "bar" }
facade.traits({ "sessionId": "rofl" }) // { "rofl": "xxx" }
The library and version of the client used to produce the message.
If the library name cannot be determined, it is set to "unknown"
. If the
version cannot be determined, it is set to null
.
{name: string, version: string}
:
Return the device information, falling back to an empty object.
Interesting values of type
are "ios"
and "android"
, but other values
are possible if the client is doing something unusual with context.device
.
{type: string}
:
Get the User-Agent from context.userAgent
.
This should be a string, but may not be if the client isn't adhering to the spec.
any
:
string
Get the timezone from context.timezone
.
This should be a string, but may not be if the client isn't adhering to the spec.
any
:
string
Get the timestamp from context.timestamp
.
any
:
string
Get the channel from channel
.
This should be a string, but may not be if the client isn't adhering to the spec.
any
:
string
Get the IP address from context.ip
.
This should be a string, but may not be if the client isn't adhering to the spec.
any
:
string
Get the user ID from userId
.
This should be a string, but may not be if the client isn't adhering to the spec.
any
:
string
Get the ZIP/Postal code from traits
, traits.address
, properties
, or
properties.address
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the country from traits
, traits.address
, properties
, or
properties.address
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the street from traits
, traits.address
, properties
, or
properties.address
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the state from traits
, traits.address
, properties
, or
properties.address
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the city from traits
, traits.address
, properties
, or
properties.address
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the region from traits
, traits.address
, properties
, or
properties.address
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Initialize a new Group
facade with a dictionary
of arguments.
Extends Facade
Return the type of facade this is. This will always return "group"
.
string
:
An alias for Group#action.
string
:
Get the group ID from groupId
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the time of creation of the group from traits.createdAt
,
traits.created
, properties.createdAt
, or properties.created
.
Date
:
Get the group's email from traits.email
, falling back to groupId
only if
it looks like a valid email.
string
:
Get the group's traits. This is identical to how Facade#traits
works, except it looks at traits.*
instead of options.traits.*
.
Traits are gotten from traits
, augmented with a property id
with
the event's groupId
.
The parameter aliases
is meant to transform keys in traits
into new
keys. Each alias like { "xxx": "yyy" }
will take whatever is at xxx
in
the traits, and move it to yyy
. If xxx
is a method of this facade, it'll
be called as a function instead of treated as a key into the traits.
(Object)
A mapping from keys to the new keys they should be
transformed to.
Object
:
var obj = { traits: { foo: "bar" }, anonymousId: "xxx" }
var group = new Group(obj)
group.traits() // { "foo": "bar" }
group.traits({ "foo": "asdf" }) // { "asdf": "bar" }
group.traits({ "sessionId": "rofl" }) // { "rofl": "xxx" }
Get the group's name from traits.name
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the group's industry from traits.industry
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the group's employee count from traits.employees
.
This should be a number, but may not be if the client isn't adhering to the spec.
number
:
Get the group's properties from traits
or properties
, falling back to
simply an empty object.
Object
:
Initialize a new Identify
facade with a dictionary
of arguments.
Extends Facade
Return the type of facade this is. This will always return "identify"
.
string
:
An alias for Identify#action.
string
:
Get the user's traits. This is identical to how Facade#traits works,
except it looks at traits.*
instead of options.traits.*
.
Traits are gotten from traits
, augmented with a property id
with
the event's userId
.
The parameter aliases
is meant to transform keys in traits
into new
keys. Each alias like { "xxx": "yyy" }
will take whatever is at xxx
in
the traits, and move it to yyy
. If xxx
is a method of this facade, it'll
be called as a function instead of treated as a key into the traits.
(Object)
A mapping from keys to the new keys they should be
transformed to.
Object
:
let obj = { traits: { foo: "bar" }, anonymousId: "xxx" }
let identify = new Identify(obj)
identify.traits() // { "foo": "bar" }
identify.traits({ "foo": "asdf" }) // { "asdf": "bar" }
identify.traits({ "sessionId": "rofl" }) // { "rofl": "xxx" }
Get the user's email from traits.email
, falling back to userId
only if
it looks like a valid email.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the time of creation of the user from traits.created
or
traits.createdAt
.
Date
:
Get the time of creation of the user's company from traits.company.created
or traits.company.createdAt
.
Date
:
Get the user's company name from traits.company.name
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the user's name traits.name
, falling back to combining Identify#firstName and Identify#lastName if possible.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the user's first name from traits.firstName
, optionally splitting it
out of a the full name if that's all that was provided.
Splitting the full name works on the assumption that the full name is of the form "FirstName LastName"; it will not work for non-Western names.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the user's last name from traits.lastName
, optionally splitting it out
of a the full name if that's all that was provided.
Splitting the full name works on the assumption that the full name is of the form "FirstName LastName"; it will not work for non-Western names.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the user's "unique id" from userId
, traits.username
, or
traits.email
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the user's description from traits.description
or traits.background
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the user's age from traits.age
, falling back to computing it from
traits.birthday
and the current time.
number
:
Get the URL of the user's avatar from traits.avatar
, traits.photoUrl
, or
traits.avatarUrl
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the user's job position from traits.position
or traits.jobTitle
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the user's username from traits.username
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the user's website from traits.website
, or if there are multiple in
traits.websites
, return the first one.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the user's websites from traits.websites
, or if there is only one in
traits.website
, then wrap it in an array.
This should be an array of strings, but may not be if the client isn't adhering to the spec.
array
:
Get the user's phone number from traits.phone
, or if there are multiple in
traits.phones
, return the first one.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the user's phone numbers from traits.phones
, or if there is only one
in traits.phone
, then wrap it in an array.
This should be an array of strings, but may not be if the client isn't adhering to the spec.
array
:
Get the user's address from traits.address
.
This should be an object, but may not be if the client isn't adhering to the spec.
object
:
Get the user's gender from traits.gender
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the user's birthday from traits.birthday
.
This should be a Date if opts.traverse
was enabled (it is by default)
when letructing this Identify. Otherwise, it should be a string. But it
may be neither if the client isn't adhering to the spec.
spec.
object
:
Initialize a new Page
facade with a dictionary
of arguments.
Extends Facade
Return the type of facade this is. This will always return "page"
.
string
:
An alias for Page#action.
string
:
Get the page category from category
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the page name from name
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the page title from properties.title
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the page path from properties.path
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the page URL from properties.url
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the HTTP referrer from context.referrer.url
, context.page.referrer
,
or properties.referrer
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the page's properties. This is identical to how Facade#traits
works, except it looks at properties.*
instead of options.traits.*
.
Properties are gotten from properties
, augmented with the page's name
and category
.
The parameter aliases
is meant to transform keys in properties
into new
keys. Each alias like { "xxx": "yyy" }
will take whatever is at xxx
in
the traits, and move it to yyy
. If xxx
is a method of this facade, it'll
be called as a function instead of treated as a key into the traits.
(Object)
A mapping from keys to the new keys they should be
transformed to.
Object
:
let obj = { properties: { foo: "bar" }, anonymousId: "xxx" }
let page = new Page(obj)
page.traits() // { "foo": "bar" }
page.traits({ "foo": "asdf" }) // { "asdf": "bar" }
page.traits({ "sessionId": "rofl" }) // { "rofl": "xxx" }
Get the user's email from context.traits.email
or properties.email
,
falling back to userId
if it's a valid email.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the page fullName. This is $category $name
if both are present, and
just name
otherwiser.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get an event name from this page call. If name
is present, this will be
Viewed $name Page
; otherwise, it will be Loaded a Page
.
(string)
The name of this page.
string
:
Convert this Page to a Track facade. The inputted name
will be
converted to the Track's event name via Page#event.
(string)
Track
:
Initialize a new Screen
facade with a dictionary
of arguments.
Note that this class extends Page, so its methods are available to instances of this class as well.
Extends Page
(Object)
The object to wrap.
| Name | Description |
|---|---|
dictionary.category string?
|
The page category. |
dictionary.name string?
|
The page name. |
dictionary.properties string?
|
The page properties. |
(Object)
Options about what kind of Facade to create.
An alias for Screen#action.
string
:
Convert this Screen to a Track facade. The inputted name
will be
converted to the Track's event name via Screen#event.
(string)
Track
:
Initialize a new Track
facade with a dictionary
of arguments.
Extends Facade
(Object)
The object to wrap.
| Name | Description |
|---|---|
dictionary.event string?
|
The name of the event being tracked. |
dictionary.userId string?
|
The ID of the user being tracked. |
dictionary.anonymousId string?
|
The anonymous ID of the user. |
dictionary.properties string?
|
Properties of the track event. |
(Object)
Options about what kind of Facade to create.
Return the type of facade this is. This will always return "track"
.
string
:
An alias for Track#action.
string
:
Get the event name from event
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the event value, usually the monetary value, from properties.value
.
This should be a number, but may not be if the client isn't adhering to the spec.
number
:
Get the event cateogry from properties.category
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the event ID from properties.id
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the product ID from properties.productId
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the promotion ID from properties.promotionId
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the cart ID from properties.cartId
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the checkout ID from properties.checkoutId
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the payment ID from properties.paymentId
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the coupon ID from properties.couponId
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the wishlist ID from properties.wishlistId
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the review ID from properties.reviewId
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the order ID from properties.id
or properties.orderId
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the SKU from properties.sku
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the amount of tax for this purchase from properties.tax
.
This should be a number, but may not be if the client isn't adhering to the spec.
number
:
Get the name of this event from properties.name
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the price of this purchase from properties.price
.
This should be a number, but may not be if the client isn't adhering to the spec.
number
:
Get the total for this purchase from properties.total
.
This should be a number, but may not be if the client isn't adhering to the spec.
number
:
Whether this is a repeat purchase from properties.repeat
.
This should be a boolean, but may not be if the client isn't adhering to the spec.
boolean
:
Get the coupon for this purchase from properties.coupon
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the shipping for this purchase from properties.shipping
.
This should be a number, but may not be if the client isn't adhering to the spec.
number
:
Get the discount for this purchase from properties.discount
.
This should be a number, but may not be if the client isn't adhering to the spec.
number
:
Get the shipping method for this purchase from properties.shippingMethod
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the payment method for this purchase from properties.paymentMethod
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get a description for this event from properties.description
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get a plan, as in the plan the user is on, for this event from
properties.plan
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the subtotal for this purchase from properties.subtotal
.
If properties.subtotal
isn't available, then fall back to computing the
total from properties.total
or properties.revenue
, and then subtracting
tax, shipping, and discounts.
If neither subtotal, total, nor revenue are available, then return 0.
number
:
Get the products for this event from properties.products
if it's an
array, falling back to an empty array.
Array
:
Get the quantity for this event from properties.quantity
, falling back to
a quantity of one.
number
:
Get the currency for this event from properties.currency
, falling back to
"USD".
string
:
Get the referrer for this event from context.referrer.url
,
context.page.referrer
, or properties.referrer
.
This should be a string, but may not be if the client isn't adhering to the spec.
string
:
Get the query for this event from options.query
.
This should be a string, but may not be if the client isn't adhering to the spec.
(string | object)
:
Get the page's properties. This is identical to how Facade#traits
works, except it looks at properties.*
instead of options.traits.*
.
Properties are gotten from properties
.
The parameter aliases
is meant to transform keys in properties
into new
keys. Each alias like { "xxx": "yyy" }
will take whatever is at xxx
in
the traits, and move it to yyy
. If xxx
is a method of this facade, it'll
be called as a function instead of treated as a key into the traits.
(Object)
A mapping from keys to the new keys they should be
transformed to.
Object
:
let obj = { properties: { foo: "bar" }, anonymousId: "xxx" }
let track = new Track(obj)
track.traits() // { "foo": "bar" }
track.traits({ "foo": "asdf" }) // { "asdf": "bar" }
track.traits({ "sessionId": "rofl" }) // { "rofl": "xxx" }
Get the username of the user for this event from traits.username
,
properties.username
, userId
, or anonymousId
.
This should be a string, but may not be if the client isn't adhering to the spec.
(string | undefined)
:
Get the email of the user for this event from trais.email
,
properties.email
, or options.traits.email
, falling back to userId
if
it looks like a valid email.
This should be a string, but may not be if the client isn't adhering to the spec.
(string | undefined)
:
Get the revenue for this event.
If this is an "Order Completed" event, this will be the properties.total
falling back to the properties.revenue
. For all other events, this is
simply taken from properties.revenue
.
If there are dollar signs in these properties, they will be removed. The result will be parsed into a number.
number
:
Get the revenue for this event in "cents" -- in other words, multiply the Track#revenue by 100, or return 0 if there isn't a numerical revenue for this event.
number
:
Convert this event into an Identify facade.
This works by taking this event's underlying object and creating an Identify
from it. This event's traits, taken from options.traits
, will be used as
the Identify's traits.
Identify
:


Bash is the default terminal shell on Ubuntu.
Here are some useful commands:
- cd directory: Moves the terminal to the specified directory.
- ls [directory]: Lists files in the specified directory (if supplied), or the current directory.
- pwd: Prints the path of the "working directory"- the directory that the terminal is currently in.
- cat file: Prints the contents of the file.
- ping destination: Prints the ms it takes to get a reply from the destination machine.
- ssh username@host: Opens a terminal shell on the provided host as the provided user.
- telnet destination port: Opens an unsecure user session to the destination host.
- mtr destination: Lists a live trace of every stop between your local machine and the destination.
- whois domain: Prints contact/owner/registration information about the domain.
- curl --head url port: Prints HTTP header information for the url.
- nslookup domain: Prints all IPs that host the domain.
- wget url: Downloads the url into a file.
- vi file: Edits the file in VIM.


SmiLib v2.0
SmiLib is a free, platform indepentend software tool for rapid combinatorial library enumeration in the flexible and portable SMILES notation. SmiLib enumerates combinatorial libraries at rates of approximately 9,000,000 molecules per minute on fast computers.
If you wish to publish results obtained with SmiLib, please cite:
Copyright © 2006-2008, Johann Wolfgang Goethe-Universität, Frankfurt am Main, Germany. All rights reserved. Use is subject to license terms.
NEW: A new, bug-fixed release candidate SmiLib 2.0 rc2 is now available for download. Please see the change log for a list of program modifications.
Run SmiLib
SmiLib is available as a Java Web Start graphical user interface program.
Java Runtime Environment (JRE) 5.0 is needed to run SmiLib.
Download SmiLib Files
Unzip and run with "java -jar SmiLib.jar".
Java Runtime Environment (JRE) 5.0 is needed to run SmiLib.
> Download SmiLib v2.0 API documentation <
> Download SmiLib v2.0 source code <
> Download SmiLib v2.0 user manual <
SmiLib v2.0 is available under the terms of the The SmiLib License.
Contact the Authors
SMILIB v1.0 was developed by Andreas Schüller during an internship under supervision of Dr. Evgeny Byvatov and Prof. Dr. Gisbert Schneider at the Johann Wolfgang Goethe-University, Frankfurt am Main, Germany.
SmiLib v2.0 was developed by Volker Hähnke during an internship under supervision of PhD student Andreas Schüller and Prof. Dr. Gisbert Schneider at the Johann Wolfgang Goethe-University, Frankfurt am Main, Germany.
Enquiries should be addressed to Andreas Schüller.
If you have questions concerning the details of the program, please consult the manual and publication.
References:


Sharing is caring - Catalogs in Flink SQL
July 23, 2020 - Dawid Wysakowicz (@dwysakowicz)With an ever-growing number of people working with data, it’s a common practice for companies to build self-service platforms with the goal of democratizing their access across different teams and — especially — to enable users from any background to be independent in their data needs. In such environments, metadata management becomes a crucial aspect. Without it, users often work blindly, spending too much time searching for datasets and their location, figuring out data formats and similar cumbersome tasks.
In this blog post, we want to give you a high level overview of catalogs in Flink. We’ll describe why you should consider using them and what you can achieve with one in place. To round it up, we’ll also showcase how simple it is to combine catalogs and Flink, in the form of an end-to-end example that you can try out yourself.
Why do I need a catalog? #
Frequently, companies start building a data platform with a metastore, catalog, or schema registry of some sort already in place. Those let you clearly separate making the data available from consuming it. That separation has a few benefits:
- Improved productivity - The most obvious one. Making data reusable and shifting the focus on building new models/pipelines rather than data cleansing and discovery.
- Security - You can control the access to certain features of the data. For example, you can make the schema of the dataset publicly available, but limit the actual access to the underlying data only to particular teams.
- Compliance - If you have all the metadata in a central entity, it’s much easier to ensure compliance with GDPR and similar regulations and legal requirements.
What is stored in a catalog? #
Almost all data sets can be described by certain properties that must be known in order to consume them. Those include:
-
Schema - It describes the actual contents of the data, what columns it has, what are the constraints (e.g. keys) on which the updates should be performed, which fields can act as time attributes, what are the rules for watermark generation and so on.
-
Location - Does the data come from Kafka or a file in a filesystem? How do you connect to the external system? Which topic or file name do you use?
-
Format - Is the data serialized as JSON, CSV, or maybe Avro records?
-
Statistics - You can also store additional information that can be useful when creating an execution plan of your query. For example, you can choose the best join algorithm, based on the number of rows in joined datasets.
Catalogs don’t have to be limited to the metadata of datasets. You can usually store other objects that can be reused in different scenarios, such as:
-
Functions - It’s very common to have domain specific functions that can be helpful in different use cases. Instead of having to create them in each place separately, you can just create them once and share them with others.
-
Queries - Those can be useful when you don’t want to persist a data set, but want to provide a recipe for creating it from other sources instead.
Catalogs support in Flink SQL #
Starting from version 1.9, Flink has a set of Catalog APIs that allows to integrate Flink with various catalog implementations. With the help of those APIs, you can query tables in Flink that were created in your external catalogs (e.g. Hive Metastore). Additionally, depending on the catalog implementation, you can create new objects such as tables or views from Flink, reuse them across different jobs, and possibly even use them in other tools compatible with that catalog. In other words, you can see catalogs as having a two-fold purpose:
-
Provide an out-of-the box integration with ecosystems such as RDBMSs or Hive that allows you to query external objects like tables, views, or functions with no additional connector configuration. The connector properties are automatically derived from the catalog itself.
-
Act as a persistent store for Flink-specific metadata. In this mode, we additionally store connector properties alongside the logical metadata (e.g. schema, object name). That approach enables you to, for example, store a full definition of a Kafka-backed table with records serialized with Avro in Hive that can be later on used by Flink. However, as it incorporates Flink-specific properties, it can not be used by other tools that leverage Hive Metastore.
As of Flink 1.11, there are two catalog implementations supported by the community:
-
A comprehensive Hive catalog
-
A Postgres catalog (preview, read-only, for now)
All you need to do to start querying your tables defined in either of these metastores is to create the corresponding catalogs with connection parameters. Once this is done, you can use them the way you would in any relational database management system.
-- create a catalog which gives access to the backing Postgres installation
CREATE CATALOG postgres WITH (
'type'='jdbc',
'property-version'='1',
'base-url'='jdbc:postgresql://postgres:5432/',
'default-database'='postgres',
'username'='postgres',
'password'='example'
);
-- create a catalog which gives access to the backing Hive installation
CREATE CATALOG hive WITH (
'type'='hive',
'property-version'='1',
'hive-version'='2.3.6',
'hive-conf-dir'='/opt/hive-conf'
);
After creating the catalogs, you can confirm that they are available to Flink and also list the databases or tables in each of these catalogs:
> show catalogs;
default_catalog
hive
postgres
-- switch the default catalog to Hive
> use catalog hive;
> show databases;
default -- hive's default database
> show tables;
dev_orders
> use catalog postgres;
> show tables;
prod_customer
prod_nation
prod_rates
prod_region
region_stats
-- desribe a schema of a table in Postgres, the Postgres types are automatically mapped to
-- Flink's type system
> describe prod_customer
root
|-- c_custkey: INT NOT NULL
|-- c_name: VARCHAR(25) NOT NULL
|-- c_address: VARCHAR(40) NOT NULL
|-- c_nationkey: INT NOT NULL
|-- c_phone: CHAR(15) NOT NULL
|-- c_acctbal: DOUBLE NOT NULL
|-- c_mktsegment: CHAR(10) NOT NULL
|-- c_comment: VARCHAR(117) NOT NULL
Now that you know which tables are available, you can write your first query.
In this scenario, we keep customer orders in Hive (dev_orders
) because of their volume, and reference customer data in Postgres (prod_customer
) to be able to easily update it. Let’s write a query that shows customers and their orders by region and order priority for a specific day.
USE CATALOG postgres;
SELECT
r_name AS `region`,
o_orderpriority AS `priority`,
COUNT(DISTINCT c_custkey) AS `number_of_customers`,
COUNT(o_orderkey) AS `number_of_orders`
FROM `hive`.`default`.dev_orders -- we need to fully qualify the table in hive because we set the
-- current catalog to Postgres
JOIN prod_customer ON o_custkey = c_custkey
JOIN prod_nation ON c_nationkey = n_nationkey
JOIN prod_region ON n_regionkey = r_regionkey
WHERE
FLOOR(o_ordertime TO DAY) = TIMESTAMP '2020-04-01 0:00:00.000'
AND NOT o_orderpriority = '4-NOT SPECIFIED'
GROUP BY r_name, o_orderpriority
ORDER BY r_name, o_orderpriority;
Flink’s catalog support also covers storing Flink-specific objects in external catalogs that might not be fully usable by the corresponding external tools. The most notable use case for this is, for example, storing a table that describes a Kafka topic in a Hive catalog. Take the following DDL statement, that contains a watermark declaration as well as a set of connector properties that are not recognizable by Hive. You won’t be able to query the table with Hive, but it will be persisted and can be reused by different Flink jobs.
USE CATALOG hive;
CREATE TABLE prod_lineitem (
l_orderkey INTEGER,
l_partkey INTEGER,
l_suppkey INTEGER,
l_linenumber INTEGER,
l_quantity DOUBLE,
l_extendedprice DOUBLE,
l_discount DOUBLE,
l_tax DOUBLE,
l_currency STRING,
l_returnflag STRING,
l_linestatus STRING,
l_ordertime TIMESTAMP(3),
l_shipinstruct STRING,
l_shipmode STRING,
l_comment STRING,
l_proctime AS PROCTIME(),
WATERMARK FOR l_ordertime AS l_ordertime - INTERVAL '5' SECONDS
) WITH (
'connector'='kafka',
'topic'='lineitem',
'scan.startup.mode'='earliest-offset',
'properties.bootstrap.servers'='kafka:9092',
'properties.group.id'='testGroup',
'format'='csv',
'csv.field-delimiter'='|'
);
With prod_lineitem
stored in Hive, you can now write a query that will enrich the incoming stream with static data kept in Postgres. To illustrate how this works, let’s calculate the item prices based on the current currency rates:
USE CATALOG postgres;
SELECT
l_proctime AS `querytime`,
l_orderkey AS `order`,
l_linenumber AS `linenumber`,
l_currency AS `currency`,
rs_rate AS `cur_rate`,
(l_extendedprice * (1 - l_discount) * (1 + l_tax)) / rs_rate AS `open_in_euro`
FROM hive.`default`.prod_lineitem
JOIN prod_rates FOR SYSTEM_TIME AS OF l_proctime ON rs_symbol = l_currency
WHERE
l_linestatus = 'O';
The query above uses a SYSTEM AS OF
clause for executing a temporal join. If you’d like to learn more about the different kind of joins you can do in Flink I highly encourage you to check this documentation page.
Conclusion #
Catalogs can be extremely powerful when building data platforms aimed at reusing the work of different teams in an organization. Centralizing the metadata is a common practice for improving productivity, security, and compliance when working with data.
Flink provides flexible metadata management capabilities, that aim at reducing the cumbersome, repetitive work needed before querying the data such as defining schemas, connection properties etc. As of version 1.11, Flink provides a native, comprehensive integration with Hive Metastore and a read-only version for Postgres catalogs.
You can get started with Flink and catalogs by reading the docs. If you want to play around with Flink SQL (e.g. try out how catalogs work in Flink yourself), you can check this demo prepared by our colleagues Fabian and Timo — it runs in a dockerized environment, and we used it for the examples in this blog post.


My name is Maggie Fei. I'm currently a Digital Analyst at McKinsey & Co. I graduated from Columbia University with a Bachelor's in Computer Science in May 2020. I have experience in Product Management and am passionate about tech, human-centered design, and food.
When I'm not working, I love running, exploring new restaurants, baking, and stargazing.
On this website you'll find my portfolio of technical and design projects I've worked on over the years.


1 tbsp extra virgin olive oil
2 cups chopped onions
1–1/2 cups chopped carrots
1/4 tsp freshly cracked black pepper
1–1/3 cups dried yellow split peas, rinsed
6 cups reduced-sodium vegetable broth (or water + 1/2 tsp sea salt)
3/4 cup water
1/4 cup chopped fresh flat-leaf (Italian) parsley or dill, divided
In a large saucepan, heat oil over medium-high heat. Add onions, carrots and pepper; cook, stirring, for 6 to 8 minutes or until vegetables are softened.
Stir in peas and broth. Bring to a boil. Reduce heat to medium-low, cover and simmer, stirring occasionally, for 35 to 40 minutes or until peas are very tender.
Transfer 1 cup of the soup solids to food processor. Add water and purée until smooth. Return purée to pan and stir in half the parsley or dill. Simmer, stirring often, for 5 minutes to blend the flavors, thinning soup with water if too thick. Serve sprinkled with the remaining parsley or dill.
* An equal amount of dried yellow lentils or green split peas may be used in place of the yellow split peas.
Storage Tip
* Store the cooled soup in an airtight container in the refrigerator for up to 2 days or in the freezer for up to 6 months. Thaw overnight in the refrigerator or in the microwave using the Defrost function. Warm soup in a medium saucepan over medium-low heat.
Serving Size: 1/6 of recipe Calories: 236 Sugar: 7.5 g Sodium: 417 mg Fat: 4.3 g Saturated Fat: 0.8 g Carbohydrates: 36.8 g Fiber: 12.8 g Protein: 11.3 g Cholesterol: 0 mg


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I'm a Year 3 Computer Science student from National University
of Singapore (NUS).
Send me an email at ken.oung(at)u.nus.edu to get in touch!
We provided data-driven recommendations for local dessert café, Sunday Folks, using data scraped from various social media and review sites. We also built a simple map visualization to show prices of possible rent locations against competitor locations.
My friend and I conducted a one-day workshop for Business Analytics freshmen. During the workshop, we introduced RStudio and the data.table package.
GiveForFree is a second hand online marketplace that raises funds for charities. I was one of two backend coders for this project. This was written in NodeJS and ExpressJS.


As I said, reinforcements are extremely expensive. I worry what the cost might do to your castle's finances...
Cost:
%gate_price%
Adena
Do you wish to do the reinforcements?
Reinforce
Cancel


theater.write( );
hide code show code
Github repository, demo on the TheaterJS page and commented on Codepen.
Share the ♥ on Twitter or Facebook.


Hit some arrow keys while a textfield has focus
Capturing all arrows:
Capturing LEFT/RIGHT arrows only:
Capturing UP/DOWN arrows only:
Last pressed keys:
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What is your favourite pet?
Dog
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Viktor the goldfish
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Trap 2 Traps all segments stitched by a line.
To trap using this option, a line is drawn which passes through the segments you wish to trap.
Move the cursor to the start point of the stitch and press 2 .
Rubber band is enabled.
Move the cursor to the end point of the stitch and press 2 .
All segments which intersect the stitch are placed in the edit buffer.
When Trap 0 - Remove has been selected, this operation removes the target segment from the buffer.


 You noted how long it's going to take to get there and make a reminder...
Yet, you were still late to the event.
How come it took longer than what the GPS said?
Simple. It's Traffic!
The purpose of Chronos is to improve upon peoples day to day lives in the easiest way possible. This is why our app calculates extra times and factors when setting alarms, all in order to make the app more accessable and easy to use.
With Chronos, you'll be reminded of the most accurate time to leave based on route, weather, AND traffic, completely eliminating the "Traffic held me up" excuse.


--- title: approximation sidebar: function_reference_sidebar permalink: S2FunHarmonic.approximation.html folder: function_reference toc: false ---
computes a least square problem to get an approximation
| S2Grid | grid on the sphere |
| f | function values on the grid (may be multidimensional) |
| bandwidth | maximum degree of the spherical harmonics used to approximate the function |
| to | tolerance for lsqm |
| maxIt | maximum number of iterations for lsqm |
| W | weight w_n for the node nodes (default: voronoi weights) |


| Property Name | Weeks Sold | Weeks Available | View / Edit |
|---|---|---|---|
| {{property.property_name}} | Possible Feature | Possible Feature |
| Sold | Available | Deal Pending |
|---|---|---|
| {{totalSold}} | {{totalAvailable}} | {{totalDealPending}} |
| Sold | Available | Deal Pending |
|---|---|---|
| {{totalSoldSelected}} | {{totalAvailableSelected}} | {{totalDealPendingSelected}} |
| Week | Season | Module | Price | Arrival Date | Departure Date | Availability | Owner First Name | Owner Last Name | Payment Type | Sold Price | Contact Number |
|---|---|---|---|---|---|---|---|---|---|---|---|
| {{week.week}} | {{week.season}} | {{week.module}} | {{week.price}} | {{week.a_date}} | {{week.d_date}} | {{week.availability}} | {{week.fname}} | {{week.sname}} | {{week.payment_type}} | {{week.sold_price}} | {{week.tel_no}} |


Teacher day was organize so many year.This day was for respect the teacher like teacher appile to be student in this unisity.
Read MoreThis activities let the parets of the student know about the faculty.
Read MoreThis workshop give knowledge to student about how to create the videoes game and mechanic of virtual reality how to use it and how to set up device.
Read MoreThe Atradius platform will provide us with a much deeper pool of research to assist with assessment of new credit applications and credit limits...
Read MoreThese new vehicles are all extra high body trucks, with a carrying height equal to that of a semi trailer. This allows us to accommodate our clients with high freight...
Read MoreIf you know of anyone looking for a bigger opportunity, a fresh start, or just something different, please have them contact our operations team now...
Read More


Plot Legend: The filled in dots (which you can mouse over to see their values) represent basic solutions. If they are black, they are basic infeasible solutions. If they are green, they are basic feasible solutions. (Bonus Question: Why do we refer to these points as basic solutions?) The blue line is an instance of our objective function, i.e. our objective function set equal to a given constant. The feasible set is green if bounded, yellow if unbounded, and not shown if empty. If the feasible set is not one point, it consists of innumerably infinite feasible solutions, but only those solutions that intersect the green optimal iteration of the objective function are optimal feasible solutions.
Answers to questions:
Question 1: Can we have any basic solutions with only one half-space plotted? No, we cannot. Basic solutions are where constraints intersect in the space spanned by our decision variables. If there is only one constraint, there cannot be any intersections because one line cannot intersect with itself.
Question 2: Can we have a LP in canonical inequality form with an unbounded feasible set? We can! Make the coefficients on a variable in the first constraint negative.
Question 3: Can an optimal iteration of the objective function ever bisect the feasible set (Hint: can the blue line ever go through the green region)? No, it can't. This is a result of the proof given in lecture that any optimal solution must lie on the border of the feasible set. Formally, we can say that because the derivative of each binding constraint with respect to each variable in the objective function is a constant and therefore monotonic, any reduction in slack (i.e. move towards the border of the feasible region) will result in the same vector of change in the objective value. If you want some fun, try to make the optimal iteration of the objective function spin around the feasible set by adjusting the objective function values.
Question 4: Can we have a non-basic optimal feasible solution? We can, but if and only if our objective function is parallel to a binding constraint. To better understand this, try to change the values of the objective function to see why we cannot have a non-basic optimal feasible solution if the objective function is not parallel to a binding constraint (Hint: the basic solutions are the circles on the plot that you can mouseover. Other solutions are simply unlabeled points in the feasible set).
Question 5: Can we have an unbounded feasible set with a finite optimal solution? We can. Try switching between maximization and minimization as our objective function and remember that minimizing a function is equivalent to maximizing its negative.
Question 6: What condition is necessary to be able to plot an optimal iteration of the objective function if there is an unbounded solution set? There must either be a single optimal solution or a line of optimal solutions along the border of the feasible region. This only happens when the objective function is parallel to a binding constraint.
Extra Questions for the Interested Reader: Is the feasible region of a LP always a geometric simplex? (Hint: In two dimensions, is the feasible region always a triangle?) Can a concave feasible set ever be formed using linear constraints? What are the implications of having a concave feasible set? If a concave feasible set is possible under some form of constraint, how can a computer test for convexity?


You still did not choose your team!
| Founded: |
{{ myClub.founded }} |
| Country: |
{{ myClub.country }} |
| Budget: |
{{ myClub.budget | currency:"€":0 }} |
| Capacity: |
{{ myClub.capacity }} |
| Stadium: |
{{ myClub.stadium }} |
| Capacity: |
{{ myClub.capacity }} |
| Attendance: |
{{ myClub.attendance }} |
| Ticket Price: |
{{ myClub.ticketPrice | currency:"€":0 }} |
Buy Players
Sell Players
{{ player.name | shortenFirstName }}
| Age: |
{{ player.age }} |
| Height: |
{{ player.height }} |
| Position: |
{{ player.position }} |
| Value: |
{{ player.price | currency:"€":0 }} |


I photograph to understand the world around me. Through the lens I perceive what is invisible to the eye and that is the inner workings of people's souls, their thoughts as well as the universe in which their daily actions occur. I am a contemporary flâneur who seeks happiness in images, the metaphors of composition.
<EMAIL_ADDRESS>+4 0752 784 080
http://elizmichellephotography.tumblr.com/


D:\Aspose Works\GitRepos\GroupDocs.Search-for-.NET\Examples\Data\Documents\New Microsoft Word Document.docx
This is a nice coat. Its cost is very high.some random words added to test search functionalityPausePausecumulative distribution functioncumulative distribution functions
D:\Aspose Works\GitRepos\GroupDocs.Search-for-.NET\Examples\Data\Documents\New Microsoft Word Document.docx
Word
12/11/2017 15:34:25
12/11/2017 18:52:44
USMAN
HP
Microsoft Office Word
983040
Normal
10/13/2016 16:40:00
12/11/2017 13:52:00
4
1


The maximum allowed width (in pixels) for this column. Users will not be able to resize this column any bigger than this.
(integer): Default null.
(integer)
null
{maxWidth: 250}


{% extends "base.html" %} {% block headstuff %} {% endblock %} {% block login %}
{% endblock %} {% block content %}Here you can manage your search log. In order to associate your data with you, you have to use the following search pattern.
https://ilps-srchproxy.science.uva.nl/search?hl=en&user_id={{ user.user_id() }}&q=


Tutorial 04: larcv_threadio for training
Posted on Wed 06 December 2017 in misc by Kazuhiro Terao
This notebook demonstrates how one can use a dedicated tool to fast read data from larcv file and load into a numpy array for network training.
We will use a python interface class called dataloader2.larcv_threadio
(let's not ask what happened to dataloader1
).
Some details (feel free to ignore)¶
larcv_threadio
is a mere python API to use ThreadProcessor
, a multi-threaded larcv
file reader written in C++.
If you would like to write your own C++ API, you can still use ThreadProcessor
to write a wrapper API.
from __future__ import print_function
import ROOT
from larcv import larcv
from larcv.dataloader2 import larcv_threadio
import numpy
import matplotlib.pyplot as plt
%matplotlib inline
# instantiate dataloader2
proc = larcv_threadio()
Configuring larcv_threadio¶
larcv_threadio
accepts a simple dictionary with configuration parameters.
There are only 3 parameters:
verbosity
... recommended value=0. When > 0, some status information is printed out intosys.stdout
stream.filler_cfg
... necessary! This is acutal meat that configures an internallarcv
C++ object (ThreadProcessor
).filler_name
... necessary! This has to match to the string key of a configuration block inside thefiller_cfg
file. You'll see it in the following.
Some details (feel free to ignore)¶
In case you wonder why you need filler_name
... this is because larcv
configuration file can contain more than one configuration parameter set in one file. This parameter is used to identify which configuration parameter set should be used.
# construct configuration dictionary
filler_cfg={}
filler_cfg["filler_name"] = 'ThreadProcessor'
filler_cfg["verbosity"] = 0,
filler_cfg['filler_cfg'] = 'configs/example_dataloader.cfg'
proc.configure(filler_cfg)
Next, let's take a look at the actual configuration file we fed to filler_cfg
.
If above cell does not return in a few seconds...¶
then it is even more important to look at the configuration. One possible issue is crogged text to be printed on the notebook. We have to make sure the Verbosity
value is set to 3 or larger everywhere.
print(open('configs/example_dataloader.cfg').read())
Whoa...¶
Yep, there's a lot going on here. I don't recommend you try to understand all of them right now.
In fact, it is a lot easier once you nail larcv
usage first. I cover minimal portions here since my focus is to get you familiarized with larcv_threadio
and not "larcv
in general".
Minimum details¶
Remember this is a configuration to enable multi-threaded reading of data. So keep a big picture in mind: the purpose of this file is to tell C++ program how/what to read from larcv
data file.
ThreadProcessor
block¶
There are 3 levels of configuration parameters. The biggest clause is around ThreadProcessor
. Note this name is what needed to match to filler_name
for larcv_threadio
configuration dictionary. Inside this block, there is a list of parameters covered below.
NumThreads
... positiveint
... number of threads to instantiate for reading a fileNumBatchStorage
... positiveint
... number of abatch
data buffer storage. Each storage is filled by a dedicated thread. So it makes sense to set this equal or larger thanNumThreads
.RandomAccess
...true/false
... randomizes an order of data (event) to be accessed in the file(s)InputFiles
...string
array ... a list of inputlarcv
files you want the reader to use. The order does not matter ifRandomAccess
istrue
.ProcessType
...string
array ... a list oflarcv
C++ modules (C++ class names) to be run in respective order.BatchFillerImage2D
takes input 2D image data.BatchFillerPIDLabel
takes input simulation information and generate a particle label based on PDG code.ProcessName
...string
array ... a list of unique string names for declaredlarcv
modules inProcessType
argument. This is used to look up a module-specific configuration parameters (see below).ProcessList
... configuration block ... see next section :)
ProcessList
block¶
This block contains a list of larcv
module configuration parameter sets with a module's unique name as a key. Here, we see image
for BatchFillerImage2D
module and label
for BatchFillerPIDLabel
.
image
block¶
This block configures BatchFillerImage2D
which reads in input image data.
ImageProducer
...string
... this is a label to identify which 2D image data product from the input file to read.Channels
... positiveint
array ... 2D image data has multiple channels, and this parameter specifies which channel(s) to read. Here, we will use only channel 2.EnableMirror
...true/false
... when set totrue
, input data is randomly flipped with respect to the center vertical axis (left/right mirroring). This is one of the most simple data augmentation technique.
label
block¶
This block configures BatchFillerPIDLabel
which defines a single classification label 2d image read by BatchFillerImage2D
using simulation information.
ParticleProducer
...string
... this is a label to identify which "simulation information" should be used.PdgClassList
... signedint
array ... this lists PDG code, a unique identifier of a particle type to define a set of classification target. Here,2212
and11
correspond to proton and electron respectively. The index of PDG code is typically used as a classification label. In this example, proton has label 0 as its index is 0.
Let's run!¶
Too much text! Let's run larcv_threadio
to read in some data!
First, we issue the command to start the multi-threaded data read.
proc.start_manager(10)
where the argument is number of data segments (events, or images) to read and store into 1 buffer = 1 batch
. Once start_manager
command is issued, all active threads go find an available storage buffer to fill them. Remember you specified number of threads and storage buffers by NumThreads
and NumBatchStorage
configuration parameters.
The next command moves the data stored in the buffer into a numpy
array so that we can access in python.
proc.next()
How to "fetch" a batch
data¶
In order to access the stored batch data, simply call larcv_threadio.fetch_data
function (below). Here, you should give an argument string
that is the name of larcv
module responsible for reading data for you. Let's fetch an image data.
data = proc.fetch_data('image')
print(type(data))
as you can see, the return of fetch_data
is batch_pydata
which holds two information about data: the numpy
array of data itself and its dimension. You can access them like:
image_data = data.data()
dim_data = data.dim()
print('numpy data shape',image_data.shape,'... full shape info:', dim_data)
Data is stored in image_data
in the form of (10,65536)
, which is 10 batch of data. dim_data
is the full data dimension: [10,256,256,1]
means this is "10 batch data of 256x256x1 image". You can see it is 2D image with 1 channel. Note 256*256*1 = 65536
. We can visualize an image using a simple imshow.
image_reshaped = image_data.reshape(dim_data[:-1])
fig,ax = plt.subplots(figsize=(8,8))
plt.imshow(image_reshaped[0],cmap='jet',interpolation='none')
plt.show()
Labels?¶
Yep, we should also have data filled by BatchFillerPIDLabel
. Remember how to fetch?
label = proc.fetch_data('label')
label_data = label.data()
dim_label = label.dim()
print('numpy data shape',label_data.shape,'... full shape info:', dim_label)
Since we defined labels with only 2 particles, the dimension is quite simple: (10,2)
. With this size, you can simply print them out to check the content, right?
print(label_data)
So we know the 1st image is an electron because we defined PdgClassList: [2212,11]
in the configuration and the label for the entry 0 is [0,1]
. Looks like we can find a proton in the next image :)
fig,ax = plt.subplots(figsize=(8,8))
plt.imshow(image_reshaped[1],cmap='jet',interpolation='none')
plt.show()
Next batch!¶
How to get the next buffer storage? Quite simple:
proc.next()
label = proc.fetch_data('label')
print(label.data())
What happened to the last batch?¶
It is gone :( So how did this happen?
To answer this, it's important to emphasize the term "available" storage buffer. Earlier we learned that threads read from file and fill data into an available storage buffer. What does "available" mean? That means storage buffer that is either empty (initial state) OR ready to be refilled. This is sometimes called consumer-producer model. A user (you) is a consumer here, and next
function flags previously accessed data is already consumed
, and make that buffer as the next "available" storage buffer.
Questions?¶
This completes the quick-start tutorial of larcv_threadio
. Hope this helped for you to understand how this is working when used in our training example notebook.


Actions, resources, and condition keys for AWS CodePipeline
AWS CodePipeline (service prefix:
codepipeline
) provides the following service-specific resources, actions, and condition context keys for use in IAM permission policies.
References:
-
Learn how to configure this service .
-
View a list of the API operations available for this service .
-
Learn how to secure this service and its resources by using IAM permission policies.
Topics
Actions defined by AWS CodePipeline
You can specify the following actions in the
Action
element of an IAM policy statement. Use policies to grant permissions to perform an operation in AWS. When you use an action in a policy, you usually allow or deny access to the API operation or CLI command with the same name. However, in some cases, a single action controls access to more than one operation. Alternatively, some operations require several different actions.
The
Resource types
column of the Actions table indicates whether each action supports resource-level permissions. If there is no value for this column, you must specify all resources ("*") to which the policy applies in the
Resource
element of your policy statement. If the column includes a resource type, then you can specify an ARN of that type in a statement with that action. If the action has one or more required resources, the caller must have permission to use the action with those resources. Required resources are indicated in the table with an asterisk (*). If you limit resource access with the
Resource
element in an IAM policy, you must include an ARN or pattern for each required resource type. Some actions support multiple resource types. If the resource type is optional (not indicated as required), then you can choose to use one of the optional resource types.
The
Condition keys
column of the Actions table includes keys that you can specify in a policy statement's
Condition
element. For more information on the condition keys that are associated with resources for the service, see the
Condition keys
column of the Resource types table.
For details about the columns in the following table, see Actions table .
| Actions | Description | Access level | Resource types (*required) | Condition keys | Dependent actions |
|---|---|---|---|---|---|
| AcknowledgeJob | Grants permission to view information about a specified job and whether that job has been received by the job worker | Write | |||
| AcknowledgeThirdPartyJob | Grants permission to confirm that a job worker has received the specified job (partner actions only) | Write | |||
| CreateCustomActionType | Grants permission to create a custom action that you can use in the pipelines associated with your AWS account | Write | |||
| CreatePipeline | Grants permission to create a uniquely named pipeline | Write | |||
| DeleteCustomActionType | Grants permission to delete a custom action | Write | |||
| DeletePipeline | Grants permission to delete a specified pipeline | Write | |||
| DeleteWebhook | Grants permission to delete a specified webhook | Write | |||
| DeregisterWebhookWithThirdParty | Grants permission to remove the registration of a webhook with the third party specified in its configuration | Write | |||
| DisableStageTransition | Grants permission to prevent revisions from transitioning to the next stage in a pipeline | Write | |||
| EnableStageTransition | Grants permission to allow revisions to transition to the next stage in a pipeline | Write | |||
| GetActionType | Grants permission to view information about an action type | Read | |||
| GetJobDetails | Grants permission to view information about a job (custom actions only) | Read | |||
| GetPipeline | Grants permission to retrieve information about a pipeline structure | Read | |||
| GetPipelineExecution | Grants permission to view information about an execution of a pipeline, including details about artifacts, the pipeline execution ID, and the name, version, and status of the pipeline | Read | |||
| GetPipelineState | Grants permission to view information about the current state of the stages and actions of a pipeline | Read | |||
| GetThirdPartyJobDetails | Grants permission to view the details of a job for a third-party action (partner actions only) | Read | |||
| ListActionExecutions | Grants permission to list the action executions that have occurred in a pipeline | Read | |||
| ListActionTypes | Grants permission to list a summary of all the action types available for pipelines in your account | Read | |||
| ListPipelineExecutions | Grants permission to list a summary of the most recent executions for a pipeline | List | |||
| ListPipelines | Grants permission to list a summary of all the pipelines associated with your AWS account | List | |||
| ListTagsForResource | Grants permission to list tags for a CodePipeline resource | Read | |||
| ListWebhooks | Grants permission to list all of the webhooks associated with your AWS account | List | |||
| PollForJobs | Grants permission to view information about any jobs for CodePipeline to act on | Write | |||
| PollForThirdPartyJobs | Grants permission to determine whether there are any third-party jobs for a job worker to act on (partner actions only) | Write | |||
| PutActionRevision | Grants permission to edit actions in a pipeline | Write | |||
| PutApprovalResult | Grants permission to provide a response (Approved or Rejected) to a manual approval request in CodePipeline | Write | |||
| PutJobFailureResult | Grants permission to represent the failure of a job as returned to the pipeline by a job worker (custom actions only) | Write | |||
| PutJobSuccessResult | Grants permission to represent the success of a job as returned to the pipeline by a job worker (custom actions only) | Write | |||
| PutThirdPartyJobFailureResult | Grants permission to represent the failure of a third-party job as returned to the pipeline by a job worker (partner actions only) | Write | |||
| PutThirdPartyJobSuccessResult | Grants permission to represent the success of a third-party job as returned to the pipeline by a job worker (partner actions only) | Write | |||
| PutWebhook | Grants permission to create or update a webhook | Write | |||
| RegisterWebhookWithThirdParty | Grants permission to register a webhook with the third party specified in its configuration | Write | |||
| RetryStageExecution | Grants permission to resume the pipeline execution by retrying the last failed actions in a stage | Write | |||
| StartPipelineExecution | Grants permission to run the most recent revision through the pipeline | Write | |||
| StopPipelineExecution | Grants permission to stop an in-progress pipeline execution | Write | |||
| TagResource | Grants permission to tag a CodePipeline resource | Tagging | |||
| UntagResource | Grants permission to remove a tag from a CodePipeline resource | Tagging | |||
| UpdateActionType | Grants permission to update an action type | Write | |||
| UpdatePipeline | Grants permission to update a pipeline with changes to the structure of the pipeline | Write |
Resource types defined by AWS CodePipeline
The following resource types are defined by this service and can be used in the
Resource
element of IAM permission policy statements. Each action in the
Actions table
identifies the resource types that can be specified with that action. A resource type can also define which condition keys you can include in a policy. These keys are displayed in the last column of the Resource types table. For details about the columns in the following table, see
Resource types table
.
| Resource types | ARN | Condition keys |
|---|---|---|
| action |
arn:$
{
Partition}:codepipeline:$
{
Region}:$
{
Account}:$
{
PipelineName}/$
{
StageName}/$
{
ActionName}
|
|
| actiontype |
arn:$
{
Partition}:codepipeline:$
{
Region}:$
{
Account}:actiontype:$
{
Owner}/$
{
Category}/$
{
Provider}/$
{
Version}
|
|
| pipeline |
arn:$
{
Partition}:codepipeline:$
{
Region}:$
{
Account}:$
{
PipelineName}
|
|
| stage |
arn:$
{
Partition}:codepipeline:$
{
Region}:$
{
Account}:$
{
PipelineName}/$
{
StageName}
|
|
| webhook |
arn:$
{
Partition}:codepipeline:$
{
Region}:$
{
Account}:webhook:$
{
WebhookName}
|
Condition keys for AWS CodePipeline
AWS CodePipeline defines the following condition keys that can be used in the
Condition
element of an IAM policy. You can use these keys to further refine the conditions under which the policy statement applies. For details about the columns in the following table, see
Condition keys table
.
To view the global condition keys that are available to all services, see Available global condition keys .
| Condition keys | Description | Type |
|---|---|---|
| aws:RequestTag/${TagKey} | Filters actions based on the presence of tag key-value pairs in the request | String |
| aws:ResourceTag/${TagKey} | Filters actions based on tag key-value pairs attached to the resource | String |
| aws:TagKeys | Filters actions based on the presence of tag keys in the request | ArrayOfString |


Setting Up the Page Layout
Next, we define the page layout of the Users tab.
Steps:
- Copy or enter the text from the right into the file
The variables are:
- 'target'
- gives a name to the page for TE to be able to refer to it later if we need it to
- 'rasieToTop'
- specifies whether you want the page to be loaded on top of others. Currently this option only takes in the "" value. By default, all new pages are loaded at the top.
- 'windowStage'
- specifies where the page loads to
- 'windowType'
- specifies if it is closable or not
- the options are NORMAL and CAN_NOT_CLOSE
- 'content::type'
- specifies what kind of page we want
- the types are the same as those defined on the previous page
- 'content::direction'
- specifies what direction to split the page (used only in the case of splitPanes)
- the options are "h" or "v"
- 'content::splitPercent'
- specifies what percent you want the split
- 'content::allowResize'
- specifies if we want to allow the individual panels to be resizable
- 'content::panelA' and 'content::panelB'
- will define the two panels in the splitPane (covered in the next page)
Finally, the loadNewPageLayout command loads the newly defined page to the specified stage.


This control simply opens a Bootstrap modal. This is great for placing Help links, for making legends that don't consume screen space, or even contact and feedback forms.
For more information, see check out the repo.
For information on using this control plugin, see the project on Github.


What to Expect
In-depth talks and discussion with other developers building ambitious web applications. Our focus is Ember.js, but we strive to cover other great technologies such as Angular, React, and more.
After the talks we’ll head to the pub to continue the conversation.
We strive to ensure everyone feels comfortable and included and has a great time at our events.
See the code of conduct for more detail
Kindly sponsored by SapientNitro


{% extends 'base.html' %}{% load static %} {% block content %}
We got you covered, download the sample data and upload it.
In Medical Assitant systems people are opten skeptical of false positives. Thus the general confidence in them is quite low.
To combat this issue I have considered 5 modalities to predict stress. Furthermore, depending on the smart watch the owner posseses,
he may have acess to a portion of the modalities. Thus, this system is fairly general. If a user gets high stress values across
various modalities. It is a sign of consern.
The 5 modalalities are visible on the navbar. Research have proven each of them are closely related to stress. For details on the neural
network architecture and training protocol please visit the Readme section of this repo.
The model is trained on the WESAD Dataset.
The dataset provides many more modalities like heart beat which will be added later
The analog WESAD data is sampled at 700Hz, which implies for 1 second we have 700 sample points. I have considered
time sequences consisting of a continuous chunk of 1024 samples while training ie this model will give a prediction
every 1.4 seconds (1024/700). Since different subjects have different responses on the signal values,I have used min-max normalisation.
Furthermore, I have standarized each sequence by z-normalization to ensure uniform scale.
However, while using this site no Preprocessing is required as I have setup the Preprocessing pipelines accordingly.
To find out your stress level just input signal from anyone of the modalalities available on the navbar sampled at 700Hz
and has a minimum length of 1024 samples. And you will get your stress level.
Conditions


More...
|
| | Builder (THasManyAssociation component) |
| |
| virtual TBuilder | AutoLoad (bool autoLoad) |
| | True to automatically load the related store from a remote source when instantiated. Defaults to false. More...
|
| |
| virtual TBuilder | FilterProperty (string filterProperty) |
| | Optionally overrides the default filter that is set up on the associated Store. If this is not set, a filter is automatically created which filters the association based on the configured foreignKey. See intro docs for more details. Defaults to undefined More...
|
| |
| virtual TBuilder | ForeignKey (string foreignKey) |
| | The name of the foreign key on the associated model that links it to the owner model. Defaults to the lowercased name of the owner model plus "_id", e.g. an association with a where a model called Group hasMany Users would create 'group_id' as the foreign key. More...
|
| |
| virtual TBuilder | Name (string name) |
| | The name of the function to create on the owner model to retrieve the child store. If not specified, the pluralized name of the child model is used. More...
|
| |
| virtual TBuilder | StoreConfig (Action< Store > action) |
| | Optional configuration object that will be passed to the generated Store. Defaults to undefined. More...
|
| |
| | Builder () |
| |
| | Builder (HasManyAssociation component) |
| |
| | Builder (HasManyAssociation.Config config) |
| |
| | Builder (TAbstractAssociation component) |
| |
| virtual TBuilder | AssociationKey (string associationKey) |
| | The name of the property in the data to read the association from. Defaults to the name of the associated model. More...
|
| |
| virtual TBuilder | PrimaryKey (string primaryKey) |
| | The name of the primary key on the associated model. In general this will be the Ext.data.Model.idProperty of the Model. Defaults to 'id' More...
|
| |
| virtual TBuilder | Model (string model) |
| | The string name of the model that is being associated with. Required More...
|
| |
| virtual TBuilder | Reader (Action< ReaderCollection > action) |
| | A special reader to read associated data More...
|
| |
◆ Builder() [1/4]
◆ Builder() [2/4]
◆ Builder() [3/4]
◆ Builder() [4/4]
◆ AutoLoad()
True to automatically load the related store from a remote source when instantiated. Defaults to false.
◆ FilterProperty()
Optionally overrides the default filter that is set up on the associated Store. If this is not set, a filter is automatically created which filters the association based on the configured foreignKey. See intro docs for more details. Defaults to undefined
◆ ForeignKey()
The name of the foreign key on the associated model that links it to the owner model. Defaults to the lowercased name of the owner model plus "_id", e.g. an association with a where a model called Group hasMany Users would create 'group_id' as the foreign key.
◆ Name()
The name of the function to create on the owner model to retrieve the child store. If not specified, the pluralized name of the child model is used.
◆ operator Builder()
◆ StoreConfig()
Optional configuration object that will be passed to the generated Store. Defaults to undefined.
- Parameters
-
| action | The action delegate |
- Returns
- An instance of TBuilder
The documentation for this class was generated from the following file:
- Factory/Builder/HasManyAssociationBuilder.cs


I am a software engineer working on static analysis software at Grammatech.
Previously, I was a master's student and programmer working for Boon Thau Loo at Penn's Distributed Systems lab.
I love building things! Recently, I've been focused on building and measuring speedy networked systems.
Past, future, and personal interests include neuroscience, data visualization, and 3D art.
I am always looking for smart people to work on fun projects with. Please reach out if you are too!
A framework for the rapid, transparent, and lossless transfer of TCP connections
The culmination of my master's thesis at the University of Pennsylvania. Shremote consists of a proxy and a client library that allows for millisecond-scale transfer of TCP connections.
A tool for executing timed experiments over SSH.
Shremote uses an extensible configuration file format to turn running experiments, making logs, and gathering data into a seamless and easy process.
An iTerm2 script to Automate the creation of split iTerm windows, and the running of timed commands within them.
One of my favorite card games, written in python, to be played in a terminal. Single- or multi-player.
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Bagel is a two player word-guessing game in the style of Mastermind
It is written in react-js, with an amazon lambda API endpoint backed by a DynamoDB instance.
Decorate a python function with @memoize_to_file, and it will automatically store function return values and standard output, and recall them (rather than recomputing) on the next invocation.

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Isaac Pedisich, et al.
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Proximity of Substantia Nigra Microstimulation to Putative GABAergic Neurons Predicts Modulation of Human Reinforcement Learning
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Ashwin G. Ramayya, Isaac Pedisich, Deborah Levy, Anastasia Lyalenko, Paul Wanda, Daniel Rizzuto, Gordon H. Baltuch and Michael J. Kahana
Frontiers in Human Neuroscience, 2017.
Expectation Modulates Neural Representations of Valence throughout the Human Brain
[PDF]
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NeuroImage, 2015.


The Waffler puts you in the role of a politician seeking office. You're on the stump, fielding questions from the press and voters, who are eager to hear your views. As you answer, your popularity rises or falls based on how poll respondents feel about those issues.
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About The template
V 2.0
Dated: 15-Oct-18
Notes:
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Simplified the code; now it is more easier to manage the pages.
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Updated the JQuery and Bootstrap to latest versions.
V 1.0
Dated: 10-Jun-18
Notes: First Version
About author
Usman ul Haq
Contact: uuhaqpk@yahoo.com