| DOSE: |
67 mg |
smoked |
DMT |
(powder / crystals) |
I'll preface this by mentioning that I haven't ever done any hard drugs before (and I don't intend to), and this is the first thing I've done other than Cannabis and Salvia, which I've tried several times, and enjoyed all my experiences.
One of my roommates (3 of us total) works with someone, who had got their hands on a half-Kilogram of (what he claims is) 'scientific research grade' DMT. I figured he was exaggerating on the quality and quantity, but he came over last night with a few grams of it, and it looked much more pure and clean than I had read about online. The 4 of us went down to our basement and got comfortable in our circle of beanbag cushions (our 'getting-high' area), and discussed how we thought the best way of smoking it was. We decided to use a simple clear glass pipe, take turns, and agreed to keep a quiet, and non-intrusive environment (to avoid a bad trip).
I went first. I gently heated the DMT, and took in the cloud that filled the pipe. I was prepared for the horrible tasting smoke that I read about online, so I didn't even cough. I took a second lungful, and handed the pipe to the nearest hand I could reach, anticipating immediate departure. I held in the second toke until I needed a new breath. After exhaling, I immediately felt as if I had fell through the floor. I didn't actually experience a fall, but my feeling was that I was lower down than where I was sitting.
After viewing a few short visuals (circular/spiral twisted-snowflake designs, with warm colors), I then found myself in a large enclosed area. Most people seem to call this the 'Dome', but I didn't feel that. It seems more like I was simply perceiving the boundries of the universe. The dimensions of this enclosed area were immeasurably large. I tried to comprehend the size of the area, but I became worried and started panicking, so I let the thought pass.
After some time in this enclosed area, I was confronted (in a the least threatening way I could expect) with several alien entities. They seemed to be all operating this big machine, that was so important that it could only be something great in purpose. They didn't speak, but they said 'He is here, now we can begin'. I asked them what was happening. They replied 'Unfortunately you can't ask that yet, you need to learn that Everything that happens in your life, Is a direct result of the choices that you make'.
This wasn't so much 'spoken' to me, but rather I just understood it was what they were telling me. It was at this point that I realized that there wasn't a 'floor' in this area, but below my feet I could see an entire spiral-arm galaxy (not exactly like you see the milky way pictured, the arms of the spirals were more 'hinged'). I don't remember thinking anything special of the image of the Galaxy, other than that it was sort of pulsing with light.
I started feeling as if these visuals were fleeting, so I closed my eyes for a moment. While my eyes were closed I felt the warm glass pipe in my hand, so I opened my eyes, and found myself back with my friends. I saw a few more small visual patterns in the room as I leveled back to reality-patterns on the walls, vertical lines in the room seemed to dance in-sync with each other. My Iphone stopwatch, which I started at the moment of my first toke, said I was 'away' for a total of 7 minutes. It really felt like longer, but my mind wasn't exactly disputing this. The final effects (euphoria, mild visials, ect) lasted for another 5-7 minutes. I stopped the stopwatch at 14 minutes, when I felt totally base-line again.
I watched my roommate take her turn. Hers lasted only about 5 minutes. She described her experience as a place with elves or something. She didn't give us much more info than that. After we put the DMT away, we smoked some Hash, and all of us agreed that the high we got was different, and felt immensely more euphoric. We got really really stoned. My roommate and his friend fell asleep/passed out, so me and my other roommate went upstairs to have some tea. It was lemon tea, which puts me to sleep right away, so I was out like a light when I went to bed. I woke up this morning feeling exceedingly refreshed, and very energetic.
I got 4 grams off my roommates friend. I will definitely be keeping this for another perfect evening, sometime in the future.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


DS.EmbeddedRecordsMixin Class
Using Embedded Records
DS.EmbeddedRecordsMixin
supports serializing embedded records.
To set up embedded records, include the mixin when extending a serializer, then define and configure embedded (model) relationships.
Note that embedded records will serialize with the serializer for their model instead of the serializer in which they are defined.
Below is an example of a per-type serializer (post
type).
import DS from 'ember-data';
export default DS.RESTSerializer.extend(DS.EmbeddedRecordsMixin, {
attrs: {
author: { embedded: 'always' },
comments: { serialize: 'ids' }
}
});
Note that this use of { embedded: 'always' }
is unrelated to
the { embedded: 'always' }
that is defined as an option on DS.attr
as part of
defining a model while working with the ActiveModelSerializer
. Nevertheless,
using { embedded: 'always' }
as an option to DS.attr
is not a valid way to setup
embedded records.
The attrs
option for a resource { embedded: 'always' }
is shorthand for:
{
serialize: 'records',
deserialize: 'records'
}
Configuring Attrs
A resource's attrs
option may be set to use ids
, records
or false for the
serialize
and deserialize
settings.
The attrs
property can be set on the ApplicationSerializer
or a per-type
serializer.
In the case where embedded JSON is expected while extracting a payload (reading)
the setting is deserialize: 'records'
, there is no need to use ids
when
extracting as that is the default behavior without this mixin if you are using
the vanilla EmbeddedRecordsMixin
. Likewise, to embed JSON in the payload while
serializing serialize: 'records'
is the setting to use. There is an option of
not embedding JSON in the serialized payload by using serialize: 'ids'
. If you
do not want the relationship sent at all, you can use serialize: false
.
EmbeddedRecordsMixin defaults
If you do not overwrite attrs
for a specific relationship, the EmbeddedRecordsMixin
will behave in the following way:
BelongsTo: { serialize: 'id', deserialize: 'id' }
HasMany: { serialize: false, deserialize: 'ids' }
Model Relationships
Embedded records must have a model defined to be extracted and serialized. Note that
when defining any relationships on your model such as belongsTo
and hasMany
, you
should not both specify async: true
and also indicate through the serializer's
attrs
attribute that the related model should be embedded for deserialization.
If a model is declared embedded for deserialization (embedded: 'always'
or deserialize: 'records'
),
then do not use async: true
.
To successfully extract and serialize embedded records the model relationships must be setup correcty. See the defining relationships section of the Defining Models guide page.
Records without an id
property are not considered embedded records, model
instances must have an id
property to be used with Ember Data.
Example JSON payloads, Models and Serializers
When customizing a serializer it is important to grok what the customizations are. Please read the docs for the methods this mixin provides, in case you need to modify it to fit your specific needs.
For example review the docs for each method of this mixin:
Item Index
Methods
_extractEmbeddedBelongsTo
()
private
_extractEmbeddedHasMany
()
private
_extractEmbeddedRecords
()
private
_normalizeEmbeddedRelationship
()
private
normalize
-
typeClass
-
hash
-
prop
Normalize the record and recursively normalize/extract all the embedded records while pushing them into the store as they are encountered
A payload with an attr configured for embedded records needs to be extracted:
{
"post": {
"id": "1"
"title": "Rails is omakase",
"comments": [{
"id": "1",
"body": "Rails is unagi"
}, {
"id": "2",
"body": "Omakase O_o"
}]
}
}
Parameters:
-
typeClass
DS.Model -
hash
Objectto be normalized
-
prop
Stringthe hash has been referenced by
Returns:
the normalized hash
removeEmbeddedForeignKey
-
snapshot
-
embeddedSnapshot
-
relationship
-
json
When serializing an embedded record, modify the property (in the json payload) that refers to the parent record (foreign key for relationship).
Serializing a belongsTo
relationship removes the property that refers to the
parent record
Serializing a hasMany
relationship does not remove the property that refers to
the parent record.
Parameters:
-
snapshot
DS.Snapshot -
embeddedSnapshot
DS.Snapshot -
relationship
Object -
json
Object
serializeBelongsTo
-
snapshot
-
json
-
relationship
Serialize belongsTo
relationship when it is configured as an embedded object.
This example of an author model belongs to a post model:
Post = DS.Model.extend({
title: DS.attr('string'),
body: DS.attr('string'),
author: DS.belongsTo('author')
});
Author = DS.Model.extend({
name: DS.attr('string'),
post: DS.belongsTo('post')
});
Use a custom (type) serializer for the post model to configure embedded author
import DS from 'ember-data';
export default DS.RESTSerializer.extend(DS.EmbeddedRecordsMixin, {
attrs: {
author: { embedded: 'always' }
}
})
A payload with an attribute configured for embedded records can serialize the records together under the root attribute's payload:
{
"post": {
"id": "1"
"title": "Rails is omakase",
"author": {
"id": "2"
"name": "dhh"
}
}
}
Parameters:
-
snapshot
DS.Snapshot -
json
Object -
relationship
Object
serializeHasMany
-
snapshot
-
json
-
relationship
Serializes hasMany
relationships when it is configured as embedded objects.
This example of a post model has many comments:
Post = DS.Model.extend({
title: DS.attr('string'),
body: DS.attr('string'),
comments: DS.hasMany('comment')
});
Comment = DS.Model.extend({
body: DS.attr('string'),
post: DS.belongsTo('post')
});
Use a custom (type) serializer for the post model to configure embedded comments
import DS from 'ember-data;
export default DS.RESTSerializer.extend(DS.EmbeddedRecordsMixin, {
attrs: {
comments: { embedded: 'always' }
}
})
A payload with an attribute configured for embedded records can serialize the records together under the root attribute's payload:
{
"post": {
"id": "1"
"title": "Rails is omakase",
"body": "I want this for my ORM, I want that for my template language..."
"comments": [{
"id": "1",
"body": "Rails is unagi"
}, {
"id": "2",
"body": "Omakase O_o"
}]
}
}
The attrs options object can use more specific instruction for extracting and
serializing. When serializing, an option to embed ids
, ids-and-types
or records
can be set.
When extracting the only option is records
.
So { embedded: 'always' }
is shorthand for:
{ serialize: 'records', deserialize: 'records' }
To embed the ids
for a related object (using a hasMany relationship):
import DS from 'ember-data;
export default DS.RESTSerializer.extend(DS.EmbeddedRecordsMixin, {
attrs: {
comments: { serialize: 'ids', deserialize: 'records' }
}
})
{
"post": {
"id": "1"
"title": "Rails is omakase",
"body": "I want this for my ORM, I want that for my template language..."
"comments": ["1", "2"]
}
}
To embed the relationship as a collection of objects with id
and type
keys, set
ids-and-types
for the related object.
This is particularly useful for polymorphic relationships where records don't share
the same table and the id
is not enough information.
By example having a user that has many pets:
User = DS.Model.extend({
name: DS.attr('string'),
pets: DS.hasMany('pet', { polymorphic: true })
});
Pet = DS.Model.extend({
name: DS.attr('string'),
});
Cat = Pet.extend({
// ...
});
Parrot = Pet.extend({
// ...
});
import DS from 'ember-data;
export default DS.RESTSerializer.extend(DS.EmbeddedRecordsMixin, {
attrs: {
pets: { serialize: 'ids-and-types', deserialize: 'records' }
}
});
{
"user": {
"id": "1"
"name": "Bertin Osborne",
"pets": [
{ "id": "1", "type": "Cat" },
{ "id": "1", "type": "Parrot"}
]
}
}
Parameters:
-
snapshot
DS.Snapshot -
json
Object -
relationship
Object


27-year-old in Blaine Lake charged with identity theft and fraud
by Saskatoon StarPhoenixOfficers seized 200 stolen cheques and 144 personal identification cards — the majority being Saskatchewan health cards and driver's licences.
A 27-year-old from Blaine Lake, Sask. has been arrested and charged after a search warrant at a home uncovered a vast number of identification cards and stolen cheques.
Latecia Juba-Arcand faces a list of charges including assault causing bodily harm, identity theft, fraud, forgery, possession of stolen property obtained by crime and possession of a controlled substance.
According to an RCMP news release, officers from the Blaine Lake detachment received information on Sunday about a possible fraud and identity theft situation and after a search of Juba-Arcand’s home.
Officers seized 200 stolen cheques, stolen tools, a small amount of what is believed to be methamphetamine and 144 personal identification cards — the majority being Saskatchewan health cards and driver’s licences.
Juba-Arcand made a first appearance in Saskatoon provincial court on Tuesday.


Uses of Class
org.apache.qpid.protonj2.client.SslOptions
-
Packages that use SslOptions Package Description org.apache.qpid.protonj2.client org.apache.qpid.protonj2.client.transport -
-
Uses of SslOptions in org.apache.qpid.protonj2.client
Methods in org.apache.qpid.protonj2.client that return SslOptions Modifier and Type Method Description SslOptions
SslOptions. allowNativeSSL(boolean allowNativeSSL)
SslOptions
SslOptions. clone()
SslOptions
SslOptions. contextProtocol(String contextProtocol)
The protocol value to use when creating an SSLContext via SSLContext.getInstance(protocol).protected SslOptions
SslOptions. copyInto(SslOptions other)
Copy all configuration into the givenSslOptions
from this instance.SslOptions
SslOptions. defaultSslPort(int defaultSslPort)
Sets the default AMQP SSL port that should be used if the user did not provide a port value.SslOptions
SslOptions. disabledCipherSuites(String... disabledCipherSuites)
SslOptions
SslOptions. disabledProtocols(String... disabledProtocols)
The protocols to be disable.SslOptions
SslOptions. enabledCipherSuites(String... enabledCipherSuites)
SslOptions
SslOptions. enabledProtocols(String... enabledProtocols)
The protocols to be set as enabled.SslOptions
SslOptions. keyAlias(String keyAlias)
SslOptions
SslOptions. keyStoreLocation(String keyStoreLocation)
Sets the location on disk of the key store to use.SslOptions
SslOptions. keyStorePassword(String keyStorePassword)
SslOptions
SslOptions. keyStoreType(String keyStoreType)
SslOptions
SslOptions. sslContextOverride(SSLContext sslContextOverride)
Provides a user configuredSSLContext
that should be used when performing the SSL handshake with the remote.SslOptions
SslOptions. sslEnabled(boolean enable)
Enable or disable the transport level SSL encryption layer.SslOptions
ConnectionOptions. sslOptions()
SslOptions
SslOptions. storeType(String storeType)
SslOptions
SslOptions. trustAll(boolean trustAll)
SslOptions
SslOptions. trustStoreLocation(String trustStoreLocation)
SslOptions
SslOptions. trustStorePassword(String trustStorePassword)
SslOptions
SslOptions. trustStoreType(String trustStoreType)
SslOptions
SslOptions. verifyHost(boolean verifyHost)
Methods in org.apache.qpid.protonj2.client with parameters of type SslOptions Modifier and Type Method Description protected SslOptions
SslOptions. copyInto(SslOptions other)
Copy all configuration into the givenSslOptions
from this instance. -
Uses of SslOptions in org.apache.qpid.protonj2.client.transport
Fields in org.apache.qpid.protonj2.client.transport declared as SslOptions Modifier and Type Field Description protected SslOptions
TcpTransport. sslOptions
Methods in org.apache.qpid.protonj2.client.transport that return SslOptions Modifier and Type Method Description SslOptions
TcpTransport. getSslOptions()
SslOptions
Transport. getSslOptions()
Methods in org.apache.qpid.protonj2.client.transport with parameters of type SslOptions Modifier and Type Method Description static SSLContext
SslSupport. createJdkSslContext(SslOptions options)
Create a new SSLContext using the options specific in the given TransportOptions instance.static SSLEngine
SslSupport. createJdkSslEngine(String host, int port, SSLContext context, SslOptions options)
Create a new JDK SSLEngine instance in client mode from the given SSLContext and TransportOptions instances.static io.netty.handler.ssl.SslContext
SslSupport. createOpenSslContext(SslOptions options)
Create a new Netty SslContext using the options specific in the given TransportOptions instance.static SSLEngine
SslSupport. createOpenSslEngine(io.netty.buffer.ByteBufAllocator allocator, String host, int port, io.netty.handler.ssl.SslContext context, SslOptions options)
Create a new OpenSSL SSLEngine instance in client mode from the given SSLContext and TransportOptions instances.static io.netty.handler.ssl.SslHandler
SslSupport. createSslHandler(io.netty.buffer.ByteBufAllocator allocator, String host, int port, SslOptions options)
Creates a Netty SslHandler instance for use in Transports that require an SSL encoder / decoder.static boolean
SslSupport. isOpenSSLPossible(SslOptions options)
Determines if Netty OpenSSL support is available and applicable based on the configuration in the given TransportOptions instance.Constructors in org.apache.qpid.protonj2.client.transport with parameters of type SslOptions Constructor Description NettyIOContext(TransportOptions options, SslOptions ssl, String ioThreadName)
TcpTransport(io.netty.bootstrap.Bootstrap bootstrap, TransportOptions options, SslOptions sslOptions)
Create a newTcpTransport
instance with the given configuration.WebSocketTransport(io.netty.bootstrap.Bootstrap bootstrap, TransportOptions options, SslOptions sslOptions)
Create a newWebSocketTransport
instance with the given configuration.
-


EQ3 → Tone
Tone.EQ3 is a three band EQ with control over low, mid, and high gain as well as the low and high crossover frequencies.
new
Tone.EQ3
([lowLevel][, midLevel][, highLevel])
code
var eq = new Tone.EQ3(-10, 3, -20);
default values
low:0
mid:0
high:0
lowFrequency:400
highFrequency:2500
members
methods


{% extends 'topics/_base_topics.html' %} {% load list_tables %} {% block content %}
On the subject of education, the ACS includes two broad categories.
School Enrollment, which can be found in tables starting with 14, provides information about people currently enrolled in school, from nursery school through graduate programs.
Educational Attainment, found in tables beginning with 15, provides the highest level of education for persons at least 18 years old.
A person is counted as enrolled in school if they currently attend a public school, private school, college or university. This count excludes vocational, technical or business schools such as trade schools or on the job training.
The ACS displays school enrollment by itself, in conjunction with the type of school, (public or private) or by the grade level. Table B14007 contains preschool, kindergarten and all 12 grades, but for most tables, enrollment is simply provided as “enrolled/not
enrolled” or in the categories below:
In general, data about educational attainment is about people 25 years and older, although you should check the table universe to be sure.
Table B15003, Educational Attainment, contains very detailed counts of the educational attainment of persons 25 years or older, down to each primary and secondary school grade level, as well as GED,
partial college, and Associate's, Bachelor's, Master's, Professional and Doctorate degrees. Table B15002: Sex by Educational Attainment is nearly as detailed.
Tables relating educational attainment to other subjects mostly use only four or five categories:
Respondents who received a Bachelor's Degree or higher were asked to provide the subject of their original Bachelor’s degree. Three tables present this data in various forms.
Table B15011, Sex by Age by Field of Degree, groups the responses into:
The other two tables, B15010, Detailed Field of Bachelor’s Degree, and B15012, Total Fields of Bachelor's Degrees Reported, both use a more detailed
set of categories, exactly the same in both tables. Note: to preserve individual privacy, table B15010 is only included in the 1-year ACS, and so, only contains data for areas of 65,000 or more.
Overview
School Enrollment
{% list_tables query="school enrollment" exclude_prefix="99" %}
Educational Attainment
{% list_tables query="educational attainment" exclude_prefix="15,99" %}
Field of Degree


Standard error
16:35:17.278 INFO unitManager CI Unit: *+NSN+
16:35:17.278 INFO unitManager CI Unit: *+SPN+
16:35:17.278 INFO unitManager CI Unit: AA
16:35:17.278 INFO unitManager CI Unit: AE
16:35:17.278 INFO unitManager CI Unit: AH
16:35:17.279 INFO unitManager CI Unit: AO
16:35:17.279 INFO unitManager CI Unit: AW
16:35:17.279 INFO unitManager CI Unit: AY
16:35:17.279 INFO unitManager CI Unit: B
16:35:17.279 INFO unitManager CI Unit: CH
16:35:17.279 INFO unitManager CI Unit: D
16:35:17.279 INFO unitManager CI Unit: DH
16:35:17.279 INFO unitManager CI Unit: EH
16:35:17.279 INFO unitManager CI Unit: ER
16:35:17.279 INFO unitManager CI Unit: EY
16:35:17.279 INFO unitManager CI Unit: F
16:35:17.279 INFO unitManager CI Unit: G
16:35:17.280 INFO unitManager CI Unit: HH
16:35:17.280 INFO unitManager CI Unit: IH
16:35:17.280 INFO unitManager CI Unit: IY
16:35:17.280 INFO unitManager CI Unit: JH
16:35:17.280 INFO unitManager CI Unit: K
16:35:17.280 INFO unitManager CI Unit: L
16:35:17.280 INFO unitManager CI Unit: M
16:35:17.280 INFO unitManager CI Unit: N
16:35:17.280 INFO unitManager CI Unit: NG
16:35:17.280 INFO unitManager CI Unit: OW
16:35:17.280 INFO unitManager CI Unit: OY
16:35:17.280 INFO unitManager CI Unit: P
16:35:17.280 INFO unitManager CI Unit: R
16:35:17.281 INFO unitManager CI Unit: S
16:35:17.281 INFO unitManager CI Unit: SH
16:35:17.281 INFO unitManager CI Unit: T
16:35:17.281 INFO unitManager CI Unit: TH
16:35:17.281 INFO unitManager CI Unit: UH
16:35:17.281 INFO unitManager CI Unit: UW
16:35:17.281 INFO unitManager CI Unit: V
16:35:17.281 INFO unitManager CI Unit: W
16:35:17.281 INFO unitManager CI Unit: Y
16:35:17.281 INFO unitManager CI Unit: Z
16:35:17.281 INFO unitManager CI Unit: ZH
16:35:18.351 INFO autoCepstrum Cepstrum component auto-configured as follows: autoCepstrum {MelFrequencyFilterBank, Denoise, DiscreteCosineTransform2, Lifter}
16:35:18.396 INFO dictionary Loading dictionary from: jar:file:/mnt/Lucru/Proiecte/SLP/aligner/sphinx4/sphinx4-data/build/libs/sphinx4-data-5prealpha-SNAPSHOT.jar!/edu/cmu/sphinx/models/en-us/cmudict-en-us.dict
16:35:18.502 INFO dictionary Loading filler dictionary from: jar:file:/mnt/Lucru/Proiecte/SLP/aligner/sphinx4/sphinx4-data/build/libs/sphinx4-data-5prealpha-SNAPSHOT.jar!/edu/cmu/sphinx/models/en-us/en-us/noisedict
16:35:18.502 INFO acousticModelLoader Loading tied-state acoustic model from: jar:file:/mnt/Lucru/Proiecte/SLP/aligner/sphinx4/sphinx4-data/build/libs/sphinx4-data-5prealpha-SNAPSHOT.jar!/edu/cmu/sphinx/models/en-us/en-us
16:35:18.502 INFO acousticModelLoader Pool means Entries: 16128
16:35:18.502 INFO acousticModelLoader Pool variances Entries: 16128
16:35:18.503 INFO acousticModelLoader Pool transition_matrices Entries: 42
16:35:18.503 INFO acousticModelLoader Pool senones Entries: 5126
16:35:18.503 INFO acousticModelLoader Gaussian weights: mixture_weights. Entries: 15378
16:35:18.503 INFO acousticModelLoader Pool senones Entries: 5126
16:35:18.503 INFO acousticModelLoader Context Independent Unit Entries: 42
16:35:18.503 INFO acousticModelLoader HMM Manager: 137095 hmms
16:35:18.503 INFO acousticModel CompositeSenoneSequences: 0
16:35:18.882 INFO lexTreeLinguist Max CI Units 43
16:35:18.883 INFO lexTreeLinguist Unit table size 79507
16:35:18.887 INFO speedTracker # ----------------------------- Timers----------------------------------------
16:35:18.888 INFO speedTracker # Name Count CurTime MinTime MaxTime AvgTime TotTime
16:35:18.889 INFO speedTracker Load Dictionary 1 0.1060s 0.1060s 0.1060s 0.1060s 0.1060s
16:35:18.890 INFO speedTracker Load AM 1 2.6120s 2.6120s 2.6120s 2.6120s 2.6120s
16:35:18.899 INFO speedTracker Frontend 184 0.0000s 0.0000s 0.0460s 0.0003s 0.0500s
16:35:18.900 INFO speedTracker Load Dictionary 1 0.0750s 0.0750s 0.0750s 0.0750s 0.0750s
16:35:18.901 INFO speedTracker Load AM 1 1.7890s 1.7890s 1.7890s 1.7890s 1.7890s
16:35:18.901 INFO speedTracker Compile 1 0.3650s 0.3650s 0.3650s 0.3650s 0.3650s
16:35:18.902 INFO speedTracker Compile 1 0.9700s 0.9700s 0.9700s 0.9700s 0.9700s
16:35:18.902 INFO speedTracker Score 364 0.0010s 0.0000s 0.0630s 0.0026s 0.9330s
16:35:18.903 INFO speedTracker Prune 1272 0.0000s 0.0000s 0.0120s 0.0000s 0.0410s
16:35:18.903 INFO speedTracker Grow 1274 0.0000s 0.0000s 1.4670s 0.0026s 3.3590s
16:35:18.903 INFO speedTracker Load Dictionary 1 0.1140s 0.1140s 0.1140s 0.1140s 0.1140s
16:35:22.632 INFO speedTracker This Time Audio: 1.64s Proc: 3.71s Speed: 2.26 X real time
16:35:22.632 INFO speedTracker Total Time Audio: 1.64s Proc: 3.71s 2.26 X real time
16:35:22.632 INFO memoryTracker Mem Total: 1160.50 Mb Free: 992.10 Mb
16:35:22.632 INFO memoryTracker Used: This: 168.40 Mb Avg: 168.40 Mb Max: 168.40 Mb
Loading from /mnt/Lucru/Proiecte/SLP/aligner/sphinx4/sphinx4-core/tmp.lat


Preparation time
30 mins to 1 hour
Cooking time
1 to 2 hours
Serves
Serves 8
The big flavours of this lamb curry belie how easy it is to make. Sure to become a firm favourite.
Place the diced lamb shoulder into a bowl or food bag. Mix in three tablespoons of curry paste and leave to marinate for 30 minutes at room temperature, or up to 24 hours in the fridge.
Heat the oil and butter in a large heavy based pan, then add the onions, cinnamon stick, cardamom pods and the remaining tablespoon of curry paste. Fry over a medium heat for 10 minutes, until the onions are softened and starting to turn golden-brown.
Add the marinated lamb, and fry for a couple of minutes until the meat has changed colour - it doesn’t have to be browned.
Stir in the chopped tomatoes, tomato purée and enough stock to cover most of the lamb, with the top pieces just poking clear of the liquid.
Add the chickpeas and bring the mixture up to the boil, then turn the heat down to a simmer, and cook gently for 1 – 1½ hours, until the lamb is very tender and the sauce is rich and thick.
Spoon away the excess fat that will have gathered on the top of the curry, then season with salt and freshly ground black pepper to taste.
Add the spinach, stirring the spinach leaves into the curry until they wilt.
Serve the curry with your favourite rice, breads and chutneys.


Ritz Theater API Documentation
Here you will find information on using the Ritz Theater Ticket Sales api.
The data for this project is stored in the RitzSales database.
It consists of the ticket, employee and concessions sales information for the Ritz Theater for several months in 2017 and 2018.
ADDING Data
POST /api/rs/sales/tickets - Add a new ticket sales record to the database
POST /api/rs/sales/concession - Add a new concession sales record to the database
POST /api/rs/sales/employee - Add a new employee record to the database
POST /api/rs/sales/feature - Add a new feature record to the database
POST /api/rs/sales/sales - Add a new sales record to the database
GETTING Data
GET /api/rs/sales/tickets - Get all (up to 1,000 rows) from the Ticket_Sales table in the database.
GET /api/rs/sales/tickets - Get all records from the Ticket_Sales table in the database.
GET /api/rs/sales/tickets/gross_id - Get a single record by ID from the Ticket_Sales table in the database.
GET /api/rs/sales/concession - Get all records from the Concession_Sales table in the database.
GET /api/rs/sales/concession/con_id - Get a single record by ID from the Concession_Sales table in the database.
GET /api/rs/sales/employee - Get all records from the Employee table in the database.
GET /api/rs/sales/employee/emp_id - Get a specific employee from the database by emp_id
GET /api/rs/sales/feature - Get all records from the Feature table in the database.
GET /api/rs/sales/feature/feature_id - Get a specific feature from the database by feature_id
GET /api/rs/sales/sales - Get all records from the Sales table in the database.
GET /api/rs/sales/bo_report - Get all records from the BoxOfficeReports view in the database.
GET /api/rs/sales/bo_report/show_title/show_date - Get all records from the BoxOfficeReports view in the database for a single date.
GET /api/rs/sales/bo_report/show_title/first_date-last_date - Get records for a single show from the BoxOfficeReports view in the database for a date range.
GET /api/rs/sales/bo_report/show_title - Get all records from the BoxOfficeReports view in the database for a single title.
GET /api/rs/sales/bo_report/rating - Get all records from the BoxOfficeReports view in the database for a specific rating.
GET /api/rs/sales/bo_report/distributor - Get all records from the BoxOfficeReports view in the database for a single distributor.
GET /api/rs/sales/total_sales - Get all records from the TotalSales view in the database.
GET /api/rs/sales/sales_by_date - Get all records from the SalesByDate view in the database.
GET /api/rs/sales/CandySalesByDate - Get all records from the CandySalesByDate view in the database.
DELETING Data
Deleting should not be done under any circumstance. It is a violation of the database rules!
DELETE /api/rs/sales/employee/emp_id - Delete single row from the Employee table by emp_id
DELETE /api/rs/sales/tickets/gross_id - Delete single row from the Ticket_Sales table by gross_id
DELETE /api/rs/sales/concession/con_id - Delete single row from the Concession_Sales table by con_id
DELETE /api/rs/sales/feature/feature_id - Delete single row from the Feature table by feature_id


--- layout: default title: Home hero_title: Focused on Design and Front End Development hero_desc: I write and design with code using HTML, CSS and JavaScript. slug: home --- {{ page.hero_title }} {{ page.hero_desc }} Current Work {% for post in site.posts limit:3 %} {{ post.title }} {% endfor %}
{{ page.hero_desc }}


My Experience
Experience
-
Hello Robot Inc | Robotics Engineer Intern
(May 2023 - Present)
- Building mobile robots that help make embodied Al and robotic assistance more accessible to people.
- Serving demands of Al research groups at Meta Al, Allen Institute (AI2), Apple, CMU, MIT, and more, by delivering quality software components.
- Developing the ROS 2 infrastructure of our flagship product - Stretch 2.
-
Robotic Caregiving and Human-interaction Lab | Research Assistant
(October 2022 - Present)
- Working on autonomous bedding manipulation using graph-based dynamics modeling and mobile manipulator robots.
- Advised by Prof. Zackory Erickson.
- Working on a project funded by the National Science Foundation (NSF).
-
Published research
- Puthuveetil, Kavya, et al. "Robust Body Exposure (RoBE): A Graph-based Dynamics Modeling Approach to Manipulating Blankets over People." arXiv preprint arXiv:2304.04822 (2023). Accepted at IEEE Robotics and Automation Letters (RA-L), 2023. Project Page: [https://rchi-lab.github.io/robust-body-exposure/](https://rchi-lab.github.io/robust-body-exposure/)
-
DJS Racing | Technical Lead - Driverless
(March 2019 - Present)
- Spearheading a team of 20 members to develop the software for an autonomous Formula Student racecar.
- Designed the CAD model of the prototype.
- Designed a data acquisition system using the CAN protocol for automotive-grade safety.
- Developed a pipeline for 3D object detection using a LiDAR and mono camera.
- Assisted in developing a redundant state estimation alogrithm.
- Integrated 2D landmark SLAM, MPC controller and sampling-based path planning.
-
Open Robotics | Student Developer (Google Summer of Code)
(May 2021 - Aug 2021)
- Worked at Open Robotics to add new features to Ignition Gazebo, funded by Google.
- Added the capability to visualize joints, inertia, and center of mass of robot models in simulation worlds. Developed transparent and wireframe rendering modes to debug 3D models.
- Engaged with the entire organization in weekly technical meetings to plan the project work.
-
Mowito | Robotics Engineer Intern
(Jan 2021 - May 2021)
- Worked with the development team to deploy autonomous robot software in warehouse environments.
- Worked on the startup’s maxL robot navigation stack, for smooth trajectory planning.
- Created a tool to calibrate wheel encoders for a differential-drive robot.
- Developed an automated testing system to generate synthetic 2D/3D LiDAR measurements.
- Added the capability to remotely debug deployed robots using AWS Greengrass and SSH tools.
-
IEEE Student Branch - DJSCE | Chairperson
(Aug 2020 - Aug 2021)
- Led a team of 36 members to organize events, webinars, and workshops on the college campus.
- Implemented Agile project management for smooth operation of the committee.
- Developed the website of the committee to showcase the blogs, events, and the members of the team.
-
National Service Scheme | Volunteer
(June 2019 - June 2020)
- Organized tree plantation and blood donation drives.


This is an attempt to create a set of standards and best practices for Accuraty projects in a way that is easy to deploy using modern web technologies and up-to-date frameworks.
Accuraty primarily works with two content management systems: DNN and WordPress. The files included in each folder are designed to be a starter template for each platform.
The template includes the source Sass files from Bootstrap v4.0.0-apha.6 (Updated 1/20/2017) nested and integrated with our custom styles codebase.
To use this template, navigate to the Portals/_default/Containers
and the Portals/_default/Skins
folders in your DNN project and create a new folder in each place (use the client abbreviation Accuraty uses elsewhere as the name). Copy the contents of this template's containers/
and skin/
folders into these newly created directories.
[UNDER CONSTRUCTION]
Accuraty Solutions is a full-service website firm that provides a wide range of web services: design, development, applications, hosting, e-commerce, and more. We deliver creative, effective results and have extensive experience in building useful online presences for businesses, organizations, and communities.
Reference: Accuraty Solutions


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Query parameters & clauses¶
When querying your data, you can use your query string to get the data, then sort and manage it on the client. This topic describes a few techniques.
Query examples in this content are shown unencoded to make them easier to read. Keep in mind that you might need to encode query strings if you’re sending them as part of URLs, such as when you’re executing them with the cURL tool.
Note
Optimizing queries. As a best practice, you should include no more than 3 parameters in your queries. The API will not prevent you from submitting a query with more than 3 parameters; however, due to the nature of NoSQL, queries with many parameters can quickly become very inefficient.
For more information, see our Data Store Best Practice.
Contains¶
Your query can search the text of entity values of the string data type. For example, you can search a postal code field for values that start with a specific three numbers.
For example, the following query selects all restaurants with the word diner in the name:
/restaurants?ql=select * where restaurants contains 'diner'
Note: Not all string properties of the default entities are indexed for searching. This includes the User entity’s username property.
The following table lists a few examples of the kind of searches you can do in queries.
| Goal | Example | Notes |
|---|---|---|
| Find books whose ‘title’ property contains the full word “tale”. | /books?ql=select * where title contains ‘tale’ | Contains looks for the occurrence of a full word anywhere in the searched property. Note that contains will not work on the ‘name’ property, since it is not full-text indexed in the database. |
| Books whose ‘title’ property contains a word that starts with “ta”. | /books?ql=select * where title contains ‘ta*’ | Contains will look for partial words if you include a wildcard |
| Find books whose title property is exactly and only “A Tale of Two Cities”. | /books?ql=select * where title = ‘A Tale of Two Cities’ | The = operator is looking for a match in the entire searched property value. Use a * wildcard to look for some set of the first characters only. |
Location¶
If you’ve stored location data with your entities, you can query for the proximity of the geographical locations those entities represent. For more information on geolocation, see Geolocating your Entities.
| Goal | Example | Notes |
|---|---|---|
| Find stores whose locations are within the specified longitude and latitude. | /stores?ql=location within 500 of 40.042016, -86.900749 | Within will test for values within the value you specify. The within value is expressed as a number of meters. The return results are sorted in order of nearest to furthest. If there are multiple entries at the same location, they’re returned in the order they were added to the database. For more on geolocation queries, see Geolocation. |
Order By¶
You can return query results that are sorted in the order you specify. Use the order by clause to specify the property to sort by, along with the order in which results should be sorted. The syntax for the clause is as follows:
order by <property_name> asc | desc
The following table includes a few examples:
| Goal | Example |
|---|---|
| Sort by first name in ascending order | /users?ql=select * where lastname = ‘Smith’ order by firstname asc |
| Sort by first name in descending order | /users?ql=select * where lastname = ‘Smith’ order by firstname desc |
| Sort by last name, then first name in ascending orderl | /users?ql=select * where lastname contains ‘Sm*’ order by lastname asc, firstname asc |
Limit¶
When your query might return more results than you want to display to the user at once, you can use the limit parameter with cursors or API methods to manage the display of results. By default, query results are limited to 10 at a time. You can adjust this by setting the limit parameter to a value you prefer.
For example, you might execute a query that could potentially return hundreds of results, but you want to display 20 of those at a time to users. To do this, your code sets the limit parameter to 20 when querying for data, then provides a way for the user to request more of the results when they’re ready.
You would use the following parameters in your query:
| Parameter | Type | Description |
|---|---|---|
| limit | integer | Within will test for values within the value you specify. The within value is expressed as a number of meters. The return results are sorted in order of nearest to furthest. If there are multiple entries at the same location, they’re returned in the order they were added to the database. For more on geolocation queries, see Geolocation. |
For example: Select all users whose name starts with fred, and returns the first 50 results:
/users?ql=select * where name = 'fred*'&limit=50
Cursor¶
| Parameter | Type | Description |
|---|---|---|
| cursor | string | An encoded representation of the query position pointing to a set of results. To retrieve the next set of results, pass the cursor with your next call for most results. |
Retrieve the next batch of users whose name is “fred”, passing the cursor received from the last request to specify where the next set of results should begin:
/users?ql=select * where name = 'fred*'&limit=50&cursor=LTIxNDg0NDUxNDpVdjb0JwREVlS1VCd0xvR3NWT0JRQQ


Add text for Concept Map generation using the text box below. You can add multiple peices of text by using Add Text button. All pieces of text will appear in the dialogue box on the left side of the screen. You can choose to remove pieces by clicking on the 'X' icon on the clip-box. Furthermore, you can also drag-and-drop ".txt" file onto the green region for adding text.


VICINITY Vocabulary¶
- VICINITY Cloud
- The VICINITY Cloud enables IoT infrastructure operators and Service providers to configure a virtual neighbourhood of connected devices and value-added services including the setup of sharing access rules between them through the user-friendly interface of VICINITY Neighbourhood Manager accessible through http://vicinity.bavenir.eu.
- VICINITY Node
- A VICINITY Node is the set of software components which maintains the user data exchange between peers in the VICINITY P2P network based on configuration of the virtual neighbourhood and sharing rules received from VICINITY Communication Server. VICINITY Node is collection of software components (VICINITY Gateway API, VICINITY Agent and VICINITY Adapter) enables your IoT infrastructure or services communicates with other VICINITY enabled devices and services.
- VICINITY Adapter
The VICINITY Adapter is a component provided by IoT infrastructure owner/ vendor or respective system integrator. The VICINITY Adapter provides translates the VICINITY “world” into the IoT infrastructure specific environment. The core responsibilities of the Adapter are:
- to provide the description of each IoT objects (devices, services) of infrastructure in common VICINITY format, which enables VICINITY to create internal models of used IoT objects in uniform way;
- to provide access to properties, actions and events of devices and services provided by infrastructure.
- VICINITY Gateway API
- The VICINITY Gateway API provides services to access VICINITY Peer-to-peer network. It is primary interface towards VICINITY Platform.
- VICINITY Agent
- The VICINITY Agent is the wrapper for the VICINITY Adapter. The VICINITY Agent provides the full VICINITY specific functionality, as managing communication via P2P network, semantic discovery of IoT objects (devices and services), semantic search of IoT objects, communication with IoT objects within the infrastructure, where each VICINITY specific interaction with IoT objects is translated in the VICINITY Adapter calls. In general, VICINITY Agent simplifies the communication with VICINITY Gateway API especially with IoT objects (device and services) registration and update.
- Agent ID (agid)
- The Agent ID is UUID (VICINITY Platform unique key) which represents adapter in VICINITY peer-to-peer network. The agent Id is generated during registration of the access point in VICINITY Neighbourhood manager (https://github.com/vicinityh2020/vicinity-neighbourhood-manager/wiki/Access-points). The agent ID is used during login of the VICINITY Adapter into the peer-to-peer network and during registration of IoT objects.
- Object ID (oid)
- The Object ID is UUID (VICINITY Platform unique key) which represents any device and service registered in VICINITY. This ID is used to access devices and services properties, actions and events. The ID is generated during device and service registration via VICINITY Gateway API.
- Property ID (pid)
- The Property ID is UUID (IoT object unique key) which represents any property provided by the device or service.
- Action ID (aid)
- The Action ID is UUID (IoT object unique key) which represents any action provided by the device or service.
- Event ID (eid)
- The Event ID is UUID (IoT object unique key) which represents any event provided by the device or service.
- IoT Object
- The IoT object is any device or service registered in VICINITY Platform. The IoT object is referenced by uniq oid generated during its registration. The IoT object is represented by Thing description. In terms of devices, the IoT object represents a virtual device.
- Virtual device
The virtual device represents set of device(s) capabilities (such as current temperature, on/off switch, etc.). The set of device(s) capabilities can be represented in the real world as follows: * 1-on-1: virtual device have the same set of capabilities as physical one represented by the virtual one; * subsetting: virtual device have the subset of physical device capabilities, Note that capabilities which are not provided by virtual device will not be accessed through the VICINITY; * union: virtual device represents the multiple physical devices in one virtual device.
Attention
Currently VICINITY support any access restrictions on the level of virtual device. Enabling access to union virtual device results in access to all related physical devices by design. Enabling access to 1-on-1 virtual device results in access to all capabilities of physical device. Hence it is advised to follow subsetting virtual device approach.
The virtual device is represented by one Thing description.
- Thing description (TD)
- The thing description is JSON object providing identification of IoT object and description of each IoT object capabilities (properties, actions and events) (https://github.com/vicinityh2020/vicinity-agent/blob/master/docs/TD.md ).


{% load i18n humanize %} {% if not article.evaluation_finished %}
{% trans 'The reviewer has already finished this article evaluation.' %}


Drawing
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Update your browser to support HTML5 Canvas
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{% for p in rounds %}
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They found it!
They found it!
They found it!
Drones are lost and found every day. Even the best drone pilot has crashed or ran out of power and recovery isn't always so simple.
We put up reward money so the person who finds your drone returns it.
sign up today


Victory for thousands of 'claw hand' miners as Tories cave in compensation row
EXCLUSIVE: Brave pitmen have been lobbying the Government for five years to acknowledge that they are suffering from incurable dupuytrens contracture, which is generally caused by vibrations from using drills and other power tools
by Chris McLaughlin, Sylvia PownallThousands of former miners crippled by “claw hand” are to get compensation after the Government finally caved in.
After years of refusing to recognise the condition, ministers sneaked out a climbdown announcement while Parliament is in recess for the election.
From next month, pitmen who have been campaigning for five years can claim industrial injury benefit.
Maximum payout will be £179 a week but most cases are expected to fall within a range of £35 to £71.60.
Alan Mardghum, a former coal face worker and secretary of the Durham Miners’ Association, welcomed the move but said: “It is long overdue. The Tory Government has ignored medical opinion and denied people the help they are entitled to.”
Incurable dupuytrens contracture is a deformity of the hand causing one or more fingers to curl over into a claw-like, paralysed position. In extreme cases it can lead to amputation. The condition is generally caused by vibrations from using drills and other power tools.
But it can affect people in all walks of life and victims have even included ex-Prime Minister Margaret Thatcher – the miners’ arch enemy in the 1980s.
The breakthrough may apply to sufferers in other industries.
An announcement that the illness will be added to the list of recognised
industrial injuries was made by a ministerial “order in council”. It was issued by the Department of Work and Pensions and did not require MPs to be sitting.
Until now ministers had refused to accept a recommendation from the Industrial Injuries Industrial Council to add DC to the list.


L'ENNUI
Reviewed by Harvey Karten Phaedra Cinema Director: Cedric Kahn Writer: Cedric Kahn, Laurence Ferreira Barbosa, novel by Alberto Moravia Cast: Charles Berling, Sophie Guillemin, Arielle Dombasle, Robert Kramer, Alice Grey, Maurice Antoni, Tom Ouedraogo
Why do we like sex? Because it feels good? Undoubtedly. Because it is a physical expression of love for our partner? Very likely. Because it gives us a feeling of power and dominance over our confederate? Ah, there's the most mysterious aspect of the thing, the angle which lends itself to literary and cinematic manipulation. In "L'Ennui," a French movie which almost literally outruns this year's solid German hit "Run, Lola Run," the soft-core sex is frequent, the dialogue motormouth, the frenetic activity of the principal character alarmingly fleet. "L'Ennui" is a psychological thriller without guns, yet a picture which explores relationships with the psychological intensity of a rousing Hitchcock feature. Don't be misled by its title: this is a portrait of madness, of obsession, of a passion all the more unconventional because of the disparity of the sexual couple in age, temperament, and motivation.
The third film feature of Cedric Kahn, who is known mostly to a French audience for two films about teen sex "Bar des Rails and "Trop de bonheur," "L'ennui" is an adaptation of a story by the Italian writer Alberto Moravia. Moravia was one of the first novelists of this century to declare that the goal of sex was not pleasure or reproduction but rather dominance over others. Since sex sells, we're not surprised to discover that Moravia's novels have been made into films, such as Vittorio De Sica's 1961 "La Ciociara," Jean-Luc Godard's "Le Merpris," or "Contempt," and Bernardo Bertolucci's "The Conformist."
Charles Berling, running through the central role like a horny and otherwise demanding middle-aged guy on speed, turns in a dynamic performance as a 40-something professor of philosophy. Martin, who, despite the rigorous training he presumably received in ontology and epistemology, is not above asking a waiter in a cafe, "If a woman stands up a guy, does it mean she does not love him?" ("Not necessarily," says the waiter, obviously knowing how to tell the distraught customer what he wants to hear.) Martin, who maintains a friendship with his ex-wife Sophie (Arielle Dombasle), uses the slim, sophisticated Parisian woman as a sounding board for his new obsession. By accident, he meets the plump, uncomplicated Cecilia (Sophie Guillemin) in the apartment of a 65-year-old painter who has just died. We learn later that the 20-year-old Cecilia's physical demands were just too much for the aging artist. The professor is intrigued by this placid but promiscuous youth--who seems positively unconcerned about the ethics of her actions and seemingly as blase about bedding her partners as she would be about relieving herself. Martin knows enough about himself to be aware that he wants to possess this woman, but here's the great paradox so skillfully brought out by Berling: the more he makes love to the object of his desire, the less he possesses her. Cecilia, who at first is agreeable to meeting Martin daily for the sessions on the bed or against the wall, drives him to the point of insanity when she begins to draw back and to acknowledge that she loves another man, Momo (Tom Ouedraogo) as much as she cares for Martin. "You can't," cries Martin, "Our semen mixes in your stomach!"
The picture is loaded with lines of that nature which come across as unintentional humor but which, on reflection, are creations of genuine waggery by Kahn and his co-writer, Laurence Ferreira. As the couple doomed by a conflict of temperaments, Charles Berling and first-timer Sophie Guillemin evoke the frustrations the complex man must face when confronted by a girl who is the pillar of simplicity. "What do you think of me?" Martin wonders aloud. "I don't know--tons of stuff," replies Cecilia. Multiply this dialogue 20, 30, 40 times as the philosopher undertakes futilely to gain answers from a woman with nary a shred of complexity and you can readily believe that Cecilia is well on her way to driving her second lover to self-destruction.
The script is clever enough to contain several ironies. Martin has access to the girl's body but not her mind. Though he at first wants her only for physical release, he is increasingly baffled, even foiled, by her inability or unwillingness to share verbally with him. Now there's a gender switch on the usual men-are-from-Mars-women-are from Venus hypothesis! This is not the usual French romance featuring a seductive vamp who drives a needy man nuts by her physical unavailability, but one that subverts the expected by highlighting a most ordinary, barely attractive young woman pursued avidly by a man unable to extract answers to his demanding and increasingly vehement questions. Director Kahn throws in a Fellini-esque scene of Cecilia's father, a mute who is dying of laryngeal cancer, the purpose of which becomes clear only near the conclusion. "L'Ennui" is anything but enervating viewing for its intelligent targeted audience.
Not Rated. Running Time: 120 minutes. (C) 1999 Harvey Karten
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


Jemeny Policy
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I will try my hardest to convince more people
(My friends, classmates, teachers, etc) to join
Jemeny.I also have read and understood
the rules in Jemeny, I will respect all
members and officers(Include CEO)


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CIT230: Assignment Portal
- Lesson 2: Design Principles Document
- Lesson 3: Weather Site Planning Document
- Lesson 4: Preston Page
- Lesson 5: Preston Page Continued
- Lesson 6: Preston Page Responsive Images
- Lesson 7: Lazy Load Images | Gallery
- Lesson 8: ACME Wildwest Table | Storm Center
- Lesson 9: Prophets JSON | Home Page
- Lesson 10: Weather API
- Lesson 11: Weather Website
- Lesson 12: SASS Assignment
- TERM FINAL PROJECT: Temple Suites Inn Website


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{% else %}WARNING: Administrators were not informed of your request because sending e-mail failed. Please report this to the Nikola team (preferably on Twitter, or personally to Chris Warrick through e-mail)
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EXSLT.NET is a community-developed implementation of the EXSLT extensions to the XSLT 1.0 for the .NET platform. EXSLT.NET fully implements the following EXSLT modules: Dates and Times, Common, Math, Random, Regular Expressions, Sets and Strings. In addition EXSLT.NET provides a proprietary set of useful extension functions. See full list of supported extension functions and elements in "Extension Functions and Elements" section. For more info about EXSLT and EXSLT.NET see References.
Version 2.0 is the first EXSLT.NET release for the .NET 2.0 Framework. What's new in this version:
Typically you are using EXSLT.NET module in your application
via
Mvp.Xml.Common.Xsl.MvpXslTransform
class, which encapsulates EXSLT implementation:
using System;
using System.Xml.XPath;
using Mvp.Xml.Common.Xsl;
public class ExsltTest
{
public static void Main()
{
MvpXslTransform xslt = new MvpXslTransform();
xslt.Load("foo.xsl");
xslt.Transform(new XmlInput("foo.xml"), new XmlOutput("result.html"));
}
}
Additionally
MvpXslTransform
class has two properties -
SupportedFunctions and
MultiOutput, which allow you to control
which features should be supported, for instance you can
define that you need all extension function modules, but not multiple
output support (the default settings) by setting SupportedFunctions and MultipleOutput properies in your code before
the call to the Transform() method:
xslt.SupportedFunctions = ExsltFunctionNamespace.All;
xslt.MultiOutput = false;
Note: You can find more information about practical usage of the EXSLT.NET in the "Building Practical Solutions with EXSLT.NET" article at MSDN XML Developer Center.
It's also possible to use EXSLT.NET in XPath-only environment. For
doing that one makes use of Mvp.Xml.Exslt.ExsltContext
class:
XPathExpression expr = nav.Compile("set:distinct(//author)");
expr.SetContext(new ExsltContext(doc.NameTable));
XPathNodeIterator authors = nav.Select(expr);
while (authors.MoveNext())
Console.WriteLine(authors.Current.Value);
See "EXSLT Meets XPath" article for more information.
You can find full list of extension functions EXSLT.NET supports in doc\Functions.xml document. Here is HTML version.
Note: For compatibility, some extension functions (such as date:date-time()) have camelCased alias names, e.g. date:dateTime(). Both forms are equivalent names, referring to the same function implementation, although beware that alias names are non-standard ones, so most likely they won't be recognized by other EXSLT implementations.
The only extension element supported is exsl:document element. See "Multiple Output" section for more info.
EXSLT.NET partially supports exsl:document extension element. Not all exsl:document attributes and their values are supported in this version of the EXSLT.NET. The supported subset of attributes and values is as follows:
<exsl:document
href = { uri-reference }
method = { "xml" | "text" }
encoding = { string }
omit-xml-declaration = { "yes" | "no" }
standalone = { "yes" | "no" }
doctype-public = { string }
doctype-system = { string }
indent = { "yes" | "no" } >
<-- Content: template -->
</exsl:document>
exsl:document extension element is not supported when transformation is done to XmlReader or XmlWriter. In the latter case use overloaded Transform() method, which accepts instance of MultiXmlTextWriter class to transform to.
exsl:document extension element is
supported through postprocessing of transformation result using
customized XmlTextWriter class. This
unconditionally assumes the transformation is always done in XML, so
actually currently there is no way to produce real HTML (not XHTML)
result documents. More specifically, main result document is always
XML, but subsidiary result documents may be written either as XML or as
text, depending on the method attribute value of the
appropriate exsl:document
element.
Moreover, the xsl:output
element is
ignored. That only affects outputting of the main result document
though, because the xsl:output
element does
not affect outputting of any subsidiary result documents. It's
completely controlled by the exsl:document
element. Instead, you can get some control over outputting of the main
result document using the MultiXmlTextWriter
properties inherited from the XmlTextWriter
class, particularly with
encoding and
indentation.
The disabling of output escaping feature is ignored as always when XSL transformation is performed to an XmlWriter.
For more info about how it's implemented see "Producing Multiple Outputs from an XSL Transformation" article.
You can get support on using XInclude.NET module using the following options:
The project is hosted at
SourceForge. Find more at the Mvp.Xml project page at
SourceForge.
$Id: index.html,v 1.5 2005/11/27 21:23:46 helgy Exp $


About Britany:
I am a Senior Computer Science major at the University of Alabama in Huntsville graduating in December, 2016 (woo!). I started working in an alternating semester internship/co-op August, 2015 as a Software Engineer Intern at Mentor Graphics. At Mentor Graphics, I have gained experience in web development, fallen in love with functional programming, and grown a hunger to be involved in the local tech community. My long-term career goal is to become a full-stack developer. I love to learn and take advantage of all the many resources available now, such as Pluralsight, Team TreeHouse, Coursera, and conferences, like our very own DevSpace. I am also one of the moderators of the local area tech Slack group: tech256.


If you have a keen interest to write about topics that could possibly bring about change, send it to us and you will be featured in our campaign.
The campaign ‘If I Am Born’ consists of a series of stories and features of real people who want to make their voice heard. The Campaign strives to bring to life issues that everyday people face, whether it is Gender Inequality or Environmental problems, the campaign transcends any particular issue.
All you have to do is choose a topic from the list below and write about it. Upload it with your name and picture on our portal and we will broadcast it for the world to see.
Click on the register icon to submit your written material.
People usually read stories and blogs because they are personal. Your stories could be an incident, something you’ve experienced in life or even something you think needs to change. Sometimes writing a story from a different perspective, putting yourself in the shoes of someone else gives birth to good writing.
1. You can write about how poverty causes famers to commit suicide .
2. You could also write a letter from the perspective of a poor man.
3. You could compare India to other countries when it comes to poverty
4. Another way could be writing a short story or poem on this topic.
5.
6. A story on a personality who strives to uphold the rights of the poor.
1. You can write about how pollution is affecting the environment around you.
2. You can write about how we should take a stand against pollution.
3. Ways to curb pollution.
4. A poem or short story on pollution.
5. Tell a story from the perspective of a tree.
1. The stories should be related to the topic you’ve selected and also in correlation to the theme if the campaign.
2. Do not exceed the limit of 500 words. Keep it short and hard-hitting.
3. Once you send your piece we will then review it. You’re story will be uploaded only after approval by The Daily Eye Editorial Team.
4. We will send you a mail with links to you’re work when it is approved and uploaded on our social media platforms and The Daily Eye website.


Normalization¶
One of the most integral parts of LiDAR analysis is determining which points represent the ground. Once this step is completed, we can construct bare earth models (BEMs) and normalize our point clouds to produce reliable estimates of height, canopy height models and other products.
pyfor offers a few avenues for normalization, ground filtering and the creation of bare earth models. All of these methods are covered in the advanced Ground Filtering document. Here, only the convenience wrapper is covered.
The convenience wrapper Cloud.normalize is a function that filters the cloud object for ground points, creates a bare earth model, and uses this bare earth model to normalize the object in place. That is, it conducts the entire normalization process from the raw data and does not leverage existing classified ground points. See the advanced Ground Filtering document to use existing classified ground points.
It uses the Zhang2003 filter by default and takes as its first argument the resolution of the bare earth model:
import pyfor
tile = pyfor.cloud.Cloud('my_tile.las')
tile.normalize(1)


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Net::SSH was originally written by
Jamis Buck
GOTOU Yuuzou
* help and code related to OpenSSL
Guillaume Marçais
* support for communicating with the the PuTTY "pageant" process
Daniel Berger
* help getting unit tests in earlier Net::SSH versions to pass in Windows * initial version of Net::SSH::Config provided inspiration and encouragement
Chris Andrews
* support for ssh agent forwarding
Hiroshi Nakamura
* fixed errors with JRuby tests


autossh
Run, monitor and restart SSH connections.
Auto-reconnects to keep port forwarding tunnels up. Accepts all `ssh` flags.
More information: home page
- Start an SSH session, restarting when a monitoring port fails to return data:
autossh -M monitor_port "ssh_command"
- Forward a local port to a remote one, restarting when necessary:
autossh -M monitor_port -L local_port:localhost:remote_port user@host
- Fork `autossh` into the background before executing `ssh` and don't open a remote shell:
autossh -f -M monitor_port -N "ssh_command"
- Run in the background, with no monitoring port, and instead send SSH keep-alive packets every 10 seconds to detect failure:
autossh -f -M 0 -N -o "ServerAliveInterval 10" -o "ServerAliveCountMax 3" "ssh_command"
- Run in the background, with no monitoring port and no remote shell, exiting if the port forward fails:
autossh -f -M 0 -N -o "ServerAliveInterval 10" -o "ServerAliveCountMax 3" -o ExitOnForwardFailure=yes -L local_port:localhost:remote_port user@host
- Run in the background, logging `autossh` debug output and `ssh` verbose output to files:
AUTOSSH_DEBUG=1 AUTOSSH_LOGFILE=path/to/autossh_log_file.log autossh -f -M monitor_port -v -E path/to/ssh_log_file.log ssh_command


Enumeration members
Afghanistan
Afghanistan: = "AF"
American Samoa
American Samoa: = "AS"
Anguilla
Anguilla: = "AI"
Antarctica
Antarctica: = "AQ"
Antigua And Barbuda
Antigua And Barbuda: = "AG"
Argentina
Argentina: = "AR"
Australia
Australia: = "AU"
Azerbaijan
Azerbaijan: = "AZ"
Bangladesh
Bangladesh: = "BD"
Barbados
Barbados: = "BB"
Bosnia And Herzegovina
Bosnia And Herzegovina: = "BA"
Botswana
Botswana: = "BW"
Bouvet Island
Bouvet Island: = "BV"
British Indian Ocean Territory
British Indian Ocean Territory: = "IO"
British Virgin Islands
British Virgin Islands: = "VG"
Bulgaria
Bulgaria: = "BG"
Burkina Faso
Burkina Faso: = "BF"
Cambodia
Cambodia: = "KH"
Cameroon
Cameroon: = "CM"
Cape Verde
Cape Verde: = "CV"
Cayman Islands
Cayman Islands: = "KY"
Central African Republic
Central African Republic: = "CF"
Christmas Island
Christmas Island: = "CX"
Cocos (Keeling) Islands
Cocos (Keeling) Islands: = "CC"
Colombia
Colombia: = "CO"
Cook Islands
Cook Islands: = "CK"
Costa Rica
Costa Rica: = "CR"
Czech Republic
Czech Republic: = "CZ"
Côte D’Ivoire
Côte D’Ivoire: = "CI"
Democratic Republic Of The Congo
Democratic Republic Of The Congo: = "CD"
Djibouti
Djibouti: = "DJ"
Dominica
Dominica: = "DM"
Dominican Republic
Dominican Republic: = "DO"
El Salvador
El Salvador: = "SV"
Equatorial Guinea
Equatorial Guinea: = "GQ"
Ethiopia
Ethiopia: = "ET"
Falkland Islands
Falkland Islands: = "FK"
Faroe Islands
Faroe Islands: = "FO"
French Guiana
French Guiana: = "GF"
French Polynesia
French Polynesia: = "PF"
French Southern Territories
French Southern Territories: = "TF"
Gibraltar
Gibraltar: = "GI"
Greenland
Greenland: = "GL"
Guadeloupe
Guadeloupe: = "GP"
Guatemala
Guatemala: = "GT"
Guinea-Bissau
Guinea-Bissau: = "GW"
Heard Island And Mcdonald Islands
Heard Island And Mcdonald Islands: = "HM"
Honduras
Honduras: = "HN"
Hong Kong S.A.R.
Hong Kong S.A.R.: = "HK"
Indonesia
Indonesia: = "ID"
Kazakhstan
Kazakhstan: = "KZ"
Kiribati
Kiribati: = "KI"
Kyrgyzstan
Kyrgyzstan: = "KG"
Liechtenstein
Liechtenstein: = "LI"
Lithuania
Lithuania: = "LT"
Luxembourg
Luxembourg: = "LU"
Macao S.A.R.
Macao S.A.R.: = "MO"
Macedonia
Macedonia: = "MK"
Madagascar
Madagascar: = "MG"
Malaysia
Malaysia: = "MY"
Maldives
Maldives: = "MV"
Marshall Islands
Marshall Islands: = "MH"
Martinique
Martinique: = "MQ"
Mauritania
Mauritania: = "MR"
Mauritius
Mauritius: = "MU"
Micronesia
Micronesia: = "FM"
Mongolia
Mongolia: = "MN"
Montenegro
Montenegro: = "ME"
Montserrat
Montserrat: = "MS"
Mozambique
Mozambique: = "MZ"
Netherlands
Netherlands: = "NL"
Netherlands Antilles
Netherlands Antilles: = "AN"
New Caledonia
New Caledonia: = "NC"
New Zealand
New Zealand: = "NZ"
Nicaragua
Nicaragua: = "NI"
Norfolk Island
Norfolk Island: = "NF"
North Korea
North Korea: = "KP"
Northern Mariana Islands
Northern Mariana Islands: = "MP"
Pakistan
Pakistan: = "PK"
Palestinian Territory
Palestinian Territory: = "PS"
Papua New Guinea
Papua New Guinea: = "PG"
Paraguay
Paraguay: = "PY"
Philippines
Philippines: = "PH"
Pitcairn
Pitcairn: = "PN"
Portugal
Portugal: = "PT"
Puerto Rico
Puerto Rico: = "PR"
Saint Helena
Saint Helena: = "SH"
Saint Kitts And Nevis
Saint Kitts And Nevis: = "KN"
Saint Lucia
Saint Lucia: = "LC"
Saint Pierre And Miquelon
Saint Pierre And Miquelon: = "PM"
Saint Vincent And The Grenadines
Saint Vincent And The Grenadines: = "VC"
San Marino
San Marino: = "SM"
Sao Tome And Principe
Sao Tome And Principe: = "ST"
Saudi Arabia
Saudi Arabia: = "SA"
Seychelles
Seychelles: = "SC"
Sierra Leone
Sierra Leone: = "SL"
Singapore
Singapore: = "SG"
Sint Maarten
Sint Maarten: = "SX"
Slovakia
Slovakia: = "SK"
Slovenia
Slovenia: = "SI"
Solomon Islands
Solomon Islands: = "SB"
South Africa
South Africa: = "ZA"
South Georgia And The South Sandwich Islands
South Georgia And The South Sandwich Islands: = "GS"
South Korea
South Korea: = "KR"
South Sudan
South Sudan: = "SS"
Sri Lanka
Sri Lanka: = "LK"
Suriname
Suriname: = "SR"
Svalbard And Jan Mayen
Svalbard And Jan Mayen: = "SJ"
Swaziland
Swaziland: = "SZ"
Switzerland
Switzerland: = "CH"
Tajikistan
Tajikistan: = "TJ"
Tanzania
Tanzania: = "TZ"
Thailand
Thailand: = "TH"
Timor-Leste
Timor-Leste: = "TL"
Trinidad And Tobago
Trinidad And Tobago: = "TT"
Turkmenistan
Turkmenistan: = "TM"
Turks And Caicos Islands
Turks And Caicos Islands: = "TC"
U.S. Virgin Islands
U.S. Virgin Islands: = "VI"
United Arab Emirates
United Arab Emirates: = "AE"
United Kingdom
United Kingdom: = "UK"
United States Minor Outlying Islands
United States Minor Outlying Islands: = "UM"
Uzbekistan
Uzbekistan: = "UZ"
Venezuela
Venezuela: = "VE"
Wallis And Futuna
Wallis And Futuna: = "WF"
Western Sahara
Western Sahara: = "EH"
Yugoslavia
Yugoslavia: = "YU"
Zimbabwe
Zimbabwe: = "ZW"


My timeline.
"There are many endings. But the right one is the one you choose.".
printf("Hello World!");
Fascinated by mathematics.
Fascinated by electronic circuit.
The name was WapSiteMobile.
Later... My forum (WapSiteBr) and 2013 my blog (WSBrasil).
Contribute to lecture talking about my experience.
Best articles about the FeedTurbo.
Title my article: "Tudo sobre o FeedTurbo".
3º Position - Race - 100M
2º Position - Long jump - Best jump 2.56
3º Position - Valentine´s Day for forumeiros.com.
Learn programming in lua ❤.
Only to use the mod ComputerCraft on Minecraft 😍❤.
A plugin to search music on Spotify via Telegram Bot.
Accomplished with the help of the art teacher I have good pictures :).
Me and my friends created a volleyball team.
A fun and healthy sport.
I published two app (SamRobot and GX Password).
Participated of Hacktoberfest 2016.
- 1º Position - Volleyball male
- 3º Position - Basketball pitch
---> 1º Round - 2/5 Hit
---> 2º Round - 1/3 Hit
---> 3º Round - 1/3 Hit
- Race of 4.1KM
Participated of Hacktoberfest 2017.
Thanks @Github and @DigitalOcean 😀😍 #Hacktoberfest pic.twitter.com/1C3jCWHa1m
— ⚙ Tiago Danin (@_TiagoEDGE) January 11, 2018
I've completed 31 Pull Requests for Hacktoberfest! https://t.co/bctla1SwdK #Hacktoberfest #Hacktoberfest2017
— ⚙ Tiago Danin (@_TiagoEDGE) October 31, 2017
Start: IFPA - Technologist degree in system analysis and development.
Study of Probot, Telegraf & Arduino.
Participated of Hacktoberfest 2018.
I've completed 16 Pull Requests for #Hacktoberfest! https://t.co/bctla1SwdK
— ⚙ Tiago Danin (@_TiagoEDGE) October 27, 2018
Participated in new technology events such as "VueJs Norte", "Flisol" & "DataTechDay".
I started studying and participating of Hackerone.
Participated of Hacktoberfest 2019.
My collection of #Hacktoberfest #Hacktoberfest2018 #OpenSource 🎉🎈
— ⚙ Tiago Danin (@_TiagoEDGE) January 19, 2019
Thanks for everything :) pic.twitter.com/PyvAEmo4I2
Lecture about Markdown in Hacktoberfest2019 + VueJsNorte.
Lembrando que o evento da Hacktoberfest edição Belém é no próximo sábado :)https://t.co/mxCoMFLq5b#veujsnorte #vuemeetup #hacktoberfest2019 #VueJS pic.twitter.com/jCT5HsbHHb
— ⚙ Tiago Danin (@_TiagoEDGE) October 13, 2019
Participated of Hacktoberfest 2020.
More one for the collection 😍🎉
— ⚙ Tiago Danin (@_TiagoEDGE) January 20, 2021
Thank you @hacktoberfest, @github, @digitalocean, @intel, @ThePracticalDev #opensource #hacktoberfest pic.twitter.com/UCfL9dyrZ1
Lecture about neural network.
A #BrazilJS #OnTheRoadEmCasa edição especial Natal/Belém traz @_TiagoEDGE em:
— braziljs (@braziljs) September 19, 2020
“Redes neurais com Javascript utilizando Brain.js”
▶https://t.co/QM8CCem1LQ
Sou Dev Mobile, organiza a VueJS Norte e membro do Node.js Internacionalização (i18n). #AjudaPantanal #AjudaAmazonia pic.twitter.com/rR9mUDn0Wo
Participated of Hacktoberfest 2021.
Participated of Hacktoberfest 2022.